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Update model eval result csv files

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Ross Wightman 2023-11-20 10:06:40 -08:00
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8 changed files with 5867 additions and 5250 deletions
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results/results-imagenet-a-clean.csv
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@ -5,7 +5,7 @@ eva02_large_patch14_448.mim_in22k_ft_in1k,98.840,1.160,99.830,0.170,305.08,448,1
eva_giant_patch14_560.m30m_ft_in22k_in1k,98.830,1.170,99.900,0.100,"1,014.45",560,1.000,bicubic
eva_giant_patch14_336.clip_ft_in1k,98.820,1.180,99.810,0.190,"1,013.01",336,1.000,bicubic
eva_giant_patch14_336.m30m_ft_in22k_in1k,98.810,1.190,99.900,0.100,"1,013.01",336,1.000,bicubic
eva_large_patch14_336.in22k_ft_in22k_in1k,98.740,1.260,99.810,0.190,304.53,336,1.000,bicubic
eva_large_patch14_336.in22k_ft_in22k_in1k,98.740,1.260,99.800,0.200,304.53,336,1.000,bicubic
eva_large_patch14_336.in22k_ft_in1k,98.730,1.270,99.870,0.130,304.53,336,1.000,bicubic
eva02_large_patch14_448.mim_m38m_ft_in1k,98.730,1.270,99.790,0.210,305.08,448,1.000,bicubic
convnextv2_huge.fcmae_ft_in22k_in1k_384,98.670,1.330,99.860,0.140,660.29,384,1.000,bicubic
@ -26,41 +26,42 @@ convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384,98.480,1.520,99.780,0.220
deit3_large_patch16_384.fb_in22k_ft_in1k,98.460,1.540,99.760,0.240,304.76,384,1.000,bicubic
eva_giant_patch14_224.clip_ft_in1k,98.460,1.540,99.750,0.250,"1,012.56",224,0.900,bicubic
regnety_1280.swag_ft_in1k,98.450,1.550,99.870,0.130,644.81,384,1.000,bicubic
caformer_b36.sail_in22k_ft_in1k_384,98.450,1.550,99.810,0.190,98.75,384,1.000,bicubic
eva02_base_patch14_448.mim_in22k_ft_in1k,98.440,1.560,99.820,0.180,87.12,448,1.000,bicubic
caformer_b36.sail_in22k_ft_in1k_384,98.440,1.560,99.800,0.200,98.75,384,1.000,bicubic
convnext_xxlarge.clip_laion2b_soup_ft_in1k,98.440,1.560,99.800,0.200,846.47,256,1.000,bicubic
eva_large_patch14_196.in22k_ft_in22k_in1k,98.430,1.570,99.770,0.230,304.14,196,1.000,bicubic
convnext_xlarge.fb_in22k_ft_in1k_384,98.420,1.580,99.810,0.190,350.20,384,1.000,bicubic
vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,98.420,1.580,99.810,0.190,632.46,336,1.000,bicubic
eva_large_patch14_196.in22k_ft_in22k_in1k,98.420,1.580,99.770,0.230,304.14,196,1.000,bicubic
convnextv2_large.fcmae_ft_in22k_in1k_384,98.400,1.600,99.760,0.240,197.96,384,1.000,bicubic
eva_large_patch14_196.in22k_ft_in1k,98.360,1.640,99.820,0.180,304.14,196,1.000,bicubic
convnextv2_base.fcmae_ft_in22k_in1k_384,98.350,1.650,99.770,0.230,88.72,384,1.000,bicubic
vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,98.340,1.660,99.760,0.240,304.53,336,1.000,bicubic
vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,98.300,1.700,99.760,0.240,632.05,224,1.000,bicubic
convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320,98.280,1.720,99.770,0.230,200.13,320,1.000,bicubic
vit_large_patch14_clip_336.openai_ft_in12k_in1k,98.270,1.730,99.770,0.230,304.53,336,1.000,bicubic
convformer_b36.sail_in22k_ft_in1k_384,98.260,1.740,99.830,0.170,99.88,384,1.000,bicubic
maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k,98.260,1.740,99.780,0.220,116.09,384,1.000,bicubic
vit_large_patch14_clip_336.openai_ft_in12k_in1k,98.260,1.740,99.770,0.230,304.53,336,1.000,bicubic
convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384,98.250,1.750,99.760,0.240,200.13,384,1.000,bicubic
convnext_large.fb_in22k_ft_in1k_384,98.240,1.760,99.750,0.250,197.77,384,1.000,bicubic
vit_large_patch16_384.augreg_in21k_ft_in1k,98.220,1.780,99.800,0.200,304.72,384,1.000,bicubic
vit_large_patch14_clip_224.openai_ft_in12k_in1k,98.220,1.780,99.720,0.280,304.20,224,1.000,bicubic
vit_large_patch14_clip_336.laion2b_ft_in1k,98.220,1.780,99.720,0.280,304.53,336,1.000,bicubic
seresnextaa201d_32x8d.sw_in12k_ft_in1k_384,98.210,1.790,99.780,0.220,149.39,384,1.000,bicubic
vit_base_patch16_clip_384.openai_ft_in12k_in1k,98.190,1.810,99.660,0.340,86.86,384,0.950,bicubic
beit_large_patch16_224.in22k_ft_in22k_in1k,98.180,1.820,99.760,0.240,304.43,224,0.900,bicubic
deit3_large_patch16_224.fb_in22k_ft_in1k,98.170,1.830,99.760,0.240,304.37,224,1.000,bicubic
maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k,98.170,1.830,99.760,0.240,116.14,384,1.000,bicubic
deit3_huge_patch14_224.fb_in22k_ft_in1k,98.170,1.830,99.730,0.270,632.13,224,1.000,bicubic
vit_large_patch14_clip_224.openai_ft_in1k,98.170,1.830,99.660,0.340,304.20,224,1.000,bicubic
caformer_b36.sail_in22k_ft_in1k,98.160,1.840,99.780,0.220,98.75,224,1.000,bicubic
vit_large_patch14_clip_224.openai_ft_in1k,98.160,1.840,99.660,0.340,304.20,224,1.000,bicubic
caformer_m36.sail_in22k_ft_in1k_384,98.150,1.850,99.750,0.250,56.20,384,1.000,bicubic
swinv2_large_window12to24_192to384.ms_in22k_ft_in1k,98.130,1.870,99.710,0.290,196.74,384,1.000,bicubic
swinv2_base_window12to24_192to384.ms_in22k_ft_in1k,98.120,1.880,99.780,0.220,87.92,384,1.000,bicubic
convnext_large.fb_in22k_ft_in1k,98.120,1.880,99.740,0.260,197.77,288,1.000,bicubic
convnext_xlarge.fb_in22k_ft_in1k,98.110,1.890,99.780,0.220,350.20,288,1.000,bicubic
convnextv2_large.fcmae_ft_in22k_in1k,98.090,1.910,99.770,0.230,197.96,288,1.000,bicubic
vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,98.080,1.920,99.760,0.240,304.20,224,1.000,bicubic
convnext_base.fb_in22k_ft_in1k_384,98.080,1.920,99.650,0.350,88.59,384,1.000,bicubic
vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,98.070,1.930,99.760,0.240,304.20,224,1.000,bicubic
coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k,98.070,1.930,99.720,0.280,73.88,384,1.000,bicubic
regnety_320.swag_ft_in1k,98.060,1.940,99.860,0.140,145.05,384,1.000,bicubic
convnextv2_base.fcmae_ft_in22k_in1k,98.060,1.940,99.760,0.240,88.72,288,1.000,bicubic
@ -80,6 +81,7 @@ swin_base_patch4_window12_384.ms_in22k_ft_in1k,97.900,2.100,99.710,0.290,87.90,3
convnextv2_huge.fcmae_ft_in1k,97.900,2.100,99.670,0.330,660.29,288,1.000,bicubic
tf_efficientnetv2_xl.in21k_ft_in1k,97.900,2.100,99.570,0.430,208.12,512,1.000,bicubic
vit_large_patch14_clip_224.laion2b_ft_in1k,97.890,2.110,99.650,0.350,304.20,224,1.000,bicubic
tiny_vit_21m_512.dist_in22k_ft_in1k,97.870,2.130,99.630,0.370,21.27,512,1.000,bicubic
convnext_base.fb_in22k_ft_in1k,97.860,2.140,99.680,0.320,88.59,288,1.000,bicubic
vit_large_r50_s32_384.augreg_in21k_ft_in1k,97.860,2.140,99.670,0.330,329.09,384,1.000,bicubic
swinv2_large_window12to16_192to256.ms_in22k_ft_in1k,97.850,2.150,99.650,0.350,196.74,256,0.900,bicubic
@ -115,6 +117,7 @@ vit_large_patch16_224.augreg_in21k_ft_in1k,97.630,2.370,99.590,0.410,304.33,224,
tf_efficientnet_b6.ns_jft_in1k,97.620,2.380,99.580,0.420,43.04,528,0.942,bicubic
convnext_base.clip_laiona_augreg_ft_in1k_384,97.620,2.380,99.550,0.450,88.59,384,1.000,bicubic
convnext_small.fb_in22k_ft_in1k_384,97.610,2.390,99.600,0.400,50.22,384,1.000,bicubic
tiny_vit_21m_384.dist_in22k_ft_in1k,97.610,2.390,99.590,0.410,21.23,384,1.000,bicubic
convnext_base.clip_laion2b_augreg_ft_in12k_in1k,97.600,2.400,99.720,0.280,88.59,256,1.000,bicubic
convformer_m36.sail_in22k_ft_in1k,97.600,2.400,99.620,0.380,57.05,224,1.000,bicubic
caformer_s36.sail_in22k_ft_in1k,97.600,2.400,99.610,0.390,39.30,224,1.000,bicubic
@ -167,6 +170,7 @@ xcit_medium_24_p8_384.fb_dist_in1k,97.280,2.720,99.510,0.490,84.32,384,1.000,bic
xcit_medium_24_p16_384.fb_dist_in1k,97.280,2.720,99.470,0.530,84.40,384,1.000,bicubic
convformer_s36.sail_in1k_384,97.280,2.720,99.430,0.570,40.01,384,1.000,bicubic
convformer_s18.sail_in22k_ft_in1k_384,97.270,2.730,99.550,0.450,26.77,384,1.000,bicubic
inception_next_base.sail_in1k_384,97.260,2.740,99.490,0.510,86.67,384,1.000,bicubic
flexivit_large.300ep_in1k,97.250,2.750,99.490,0.510,304.36,240,0.950,bicubic
xcit_small_24_p8_384.fb_dist_in1k,97.240,2.760,99.610,0.390,47.63,384,1.000,bicubic
convnext_base.clip_laion2b_augreg_ft_in1k,97.240,2.760,99.550,0.450,88.59,256,1.000,bicubic
@ -176,44 +180,45 @@ convnextv2_base.fcmae_ft_in1k,97.220,2.780,99.540,0.460,88.72,288,1.000,bicubic
regnety_2560.seer_ft_in1k,97.220,2.780,99.520,0.480,"1,282.60",384,1.000,bicubic
resnext101_32x8d.fb_swsl_ig1b_ft_in1k,97.210,2.790,99.570,0.430,88.79,224,0.875,bilinear
tf_efficientnetv2_m.in1k,97.210,2.790,99.530,0.470,54.14,480,1.000,bicubic
tf_efficientnet_b7.ap_in1k,97.200,2.800,99.540,0.460,66.35,600,0.949,bicubic
regnetz_e8.ra3_in1k,97.200,2.800,99.500,0.500,57.70,320,1.000,bicubic
tf_efficientnet_b8.ra_in1k,97.200,2.800,99.500,0.500,87.41,672,0.954,bicubic
tiny_vit_21m_224.dist_in22k_ft_in1k,97.200,2.800,99.490,0.510,21.20,224,0.950,bicubic
vit_base_r50_s16_384.orig_in21k_ft_in1k,97.190,2.810,99.560,0.440,98.95,384,1.000,bicubic
tf_efficientnet_b7.ap_in1k,97.190,2.810,99.540,0.460,66.35,600,0.949,bicubic
beitv2_base_patch16_224.in1k_ft_in1k,97.170,2.830,99.470,0.530,86.53,224,0.900,bicubic
regnety_320.swag_lc_in1k,97.160,2.840,99.670,0.330,145.05,224,0.965,bicubic
vit_base_patch16_224.augreg2_in21k_ft_in1k,97.150,2.850,99.540,0.460,86.57,224,0.900,bicubic
coat_lite_medium_384.in1k,97.150,2.850,99.450,0.550,44.57,384,1.000,bicubic
eva02_small_patch14_336.mim_in22k_ft_in1k,97.140,2.860,99.470,0.530,22.13,336,1.000,bicubic
deit3_small_patch16_384.fb_in22k_ft_in1k,97.130,2.870,99.500,0.500,22.21,384,1.000,bicubic
deit3_small_patch16_384.fb_in22k_ft_in1k,97.130,2.870,99.510,0.490,22.21,384,1.000,bicubic
vit_base_patch16_clip_224.laion2b_ft_in1k,97.130,2.870,99.460,0.540,86.57,224,1.000,bicubic
xcit_small_24_p16_384.fb_dist_in1k,97.120,2.880,99.450,0.550,47.67,384,1.000,bicubic
tf_efficientnet_b8.ap_in1k,97.110,2.890,99.660,0.340,87.41,672,0.954,bicubic
dm_nfnet_f2.dm_in1k,97.110,2.890,99.510,0.490,193.78,352,0.920,bicubic
vit_base_patch32_clip_384.openai_ft_in12k_in1k,97.110,2.890,99.500,0.500,88.30,384,0.950,bicubic
dm_nfnet_f2.dm_in1k,97.100,2.900,99.510,0.490,193.78,352,0.920,bicubic
convnext_large.fb_in1k,97.100,2.900,99.450,0.550,197.77,288,1.000,bicubic
volo_d3_224.sail_in1k,97.090,2.910,99.460,0.540,86.33,224,0.960,bicubic
ecaresnet269d.ra2_in1k,97.090,2.910,99.470,0.530,102.09,352,1.000,bicubic
volo_d3_224.sail_in1k,97.090,2.910,99.470,0.530,86.33,224,0.960,bicubic
beit_base_patch16_224.in22k_ft_in22k_in1k,97.080,2.920,99.610,0.390,86.53,224,0.900,bicubic
tf_efficientnet_b6.ap_in1k,97.080,2.920,99.610,0.390,43.04,528,0.942,bicubic
convformer_s36.sail_in22k_ft_in1k,97.080,2.920,99.560,0.440,40.01,224,1.000,bicubic
convnext_tiny.fb_in22k_ft_in1k_384,97.080,2.920,99.510,0.490,28.59,384,1.000,bicubic
eca_nfnet_l2.ra3_in1k,97.080,2.920,99.510,0.490,56.72,384,1.000,bicubic
vit_base_patch16_clip_224.openai_ft_in1k,97.080,2.920,99.490,0.510,86.57,224,0.900,bicubic
ecaresnet269d.ra2_in1k,97.080,2.920,99.470,0.530,102.09,352,1.000,bicubic
caformer_s18.sail_in1k_384,97.080,2.920,99.420,0.580,26.34,384,1.000,bicubic
cait_s24_384.fb_dist_in1k,97.070,2.930,99.430,0.570,47.06,384,1.000,bicubic
xcit_large_24_p8_224.fb_dist_in1k,97.070,2.930,99.420,0.580,188.93,224,1.000,bicubic
convnext_tiny.in12k_ft_in1k,97.060,2.940,99.550,0.450,28.59,288,1.000,bicubic
deit3_base_patch16_384.fb_in1k,97.040,2.960,99.390,0.610,86.88,384,1.000,bicubic
convformer_s18.sail_in1k_384,97.040,2.960,99.380,0.620,26.77,384,1.000,bicubic
hrnet_w48_ssld.paddle_in1k,97.030,2.970,99.640,0.360,77.47,288,1.000,bilinear
deit3_base_patch16_384.fb_in1k,97.030,2.970,99.390,0.610,86.88,384,1.000,bicubic
dm_nfnet_f1.dm_in1k,97.030,2.970,99.390,0.610,132.63,320,0.910,bicubic
tf_efficientnet_b7.ra_in1k,97.010,2.990,99.520,0.480,66.35,600,0.949,bicubic
resnetv2_152x2_bit.goog_in21k_ft_in1k,97.000,3.000,99.590,0.410,236.34,448,1.000,bilinear
tf_efficientnet_b7.ra_in1k,97.000,3.000,99.520,0.480,66.35,600,0.949,bicubic
volo_d2_224.sail_in1k,97.000,3.000,99.390,0.610,58.68,224,0.960,bicubic
caformer_b36.sail_in1k,96.990,3.010,99.340,0.660,98.75,224,1.000,bicubic
efficientnetv2_rw_m.agc_in1k,96.980,3.020,99.530,0.470,53.24,416,1.000,bicubic
resnetv2_101x3_bit.goog_in21k_ft_in1k,96.980,3.020,99.490,0.510,387.93,448,1.000,bilinear
caformer_b36.sail_in1k,96.980,3.020,99.340,0.660,98.75,224,1.000,bicubic
deit3_medium_patch16_224.fb_in22k_ft_in1k,96.970,3.030,99.430,0.570,38.85,224,1.000,bicubic
deit_base_distilled_patch16_384.fb_in1k,96.960,3.040,99.480,0.520,87.63,384,1.000,bicubic
seresnextaa101d_32x8d.ah_in1k,96.960,3.040,99.390,0.610,93.59,288,1.000,bicubic
@ -229,8 +234,8 @@ volo_d1_384.sail_in1k,96.910,3.090,99.520,0.480,26.78,384,1.000,bicubic
resnetrs420.tf_in1k,96.910,3.090,99.460,0.540,191.89,416,1.000,bicubic
deit3_huge_patch14_224.fb_in1k,96.900,3.100,99.480,0.520,632.13,224,0.900,bicubic
convformer_b36.sail_in1k,96.900,3.100,99.220,0.780,99.88,224,1.000,bicubic
vit_base_patch16_224.augreg_in21k_ft_in1k,96.890,3.110,99.530,0.470,86.57,224,0.900,bicubic
caformer_m36.sail_in1k,96.890,3.110,99.430,0.570,56.20,224,1.000,bicubic
vit_base_patch16_224.augreg_in21k_ft_in1k,96.880,3.120,99.530,0.470,86.57,224,0.900,bicubic
xcit_small_24_p8_224.fb_dist_in1k,96.870,3.130,99.480,0.520,47.63,224,1.000,bicubic
regnety_1280.seer_ft_in1k,96.860,3.140,99.390,0.610,644.81,384,1.000,bicubic
convnextv2_tiny.fcmae_ft_in22k_in1k,96.850,3.150,99.460,0.540,28.64,288,1.000,bicubic
@ -243,6 +248,7 @@ resnext101_32x16d.fb_wsl_ig1b_ft_in1k,96.810,3.190,99.600,0.400,194.03,224,0.875
maxxvit_rmlp_small_rw_256.sw_in1k,96.800,3.200,99.380,0.620,66.01,256,0.950,bicubic
xcit_large_24_p16_224.fb_dist_in1k,96.800,3.200,99.350,0.650,189.10,224,1.000,bicubic
vit_large_r50_s32_224.augreg_in21k_ft_in1k,96.790,3.210,99.340,0.660,328.99,224,0.900,bicubic
fastvit_ma36.apple_dist_in1k,96.780,3.220,99.330,0.670,44.07,256,0.950,bicubic
seresnet152d.ra2_in1k,96.770,3.230,99.440,0.560,66.84,320,1.000,bicubic
seresnext101_32x8d.ah_in1k,96.770,3.230,99.350,0.650,93.57,288,1.000,bicubic
mvitv2_base.fb_in1k,96.760,3.240,99.260,0.740,51.47,224,0.900,bicubic
@ -255,7 +261,7 @@ resnet200d.ra2_in1k,96.730,3.270,99.330,0.670,64.69,320,1.000,bicubic
vit_base_patch16_384.orig_in21k_ft_in1k,96.720,3.280,99.500,0.500,86.86,384,1.000,bicubic
regnetz_040.ra3_in1k,96.720,3.280,99.480,0.520,27.12,320,1.000,bicubic
resnetv2_50x3_bit.goog_in21k_ft_in1k,96.710,3.290,99.550,0.450,217.32,448,1.000,bilinear
caformer_s18.sail_in22k_ft_in1k,96.710,3.290,99.480,0.520,26.34,224,1.000,bicubic
caformer_s18.sail_in22k_ft_in1k,96.710,3.290,99.490,0.510,26.34,224,1.000,bicubic
regnetz_040_h.ra3_in1k,96.700,3.300,99.500,0.500,28.94,320,1.000,bicubic
vit_small_patch16_384.augreg_in21k_ft_in1k,96.700,3.300,99.480,0.520,22.20,384,1.000,bicubic
edgenext_base.usi_in1k,96.700,3.300,99.430,0.570,18.51,320,1.000,bicubic
@ -264,6 +270,7 @@ resnetrs200.tf_in1k,96.700,3.300,99.370,0.630,93.21,320,1.000,bicubic
resnetaa101d.sw_in12k_ft_in1k,96.700,3.300,99.360,0.640,44.57,288,1.000,bicubic
seresnext101d_32x8d.ah_in1k,96.700,3.300,99.360,0.640,93.59,288,1.000,bicubic
eca_nfnet_l1.ra2_in1k,96.700,3.300,99.290,0.710,41.41,320,1.000,bicubic
repvgg_d2se.rvgg_in1k,96.690,3.310,99.370,0.630,133.33,320,1.000,bilinear
caformer_s36.sail_in1k,96.690,3.310,99.360,0.640,39.30,224,1.000,bicubic
maxvit_small_tf_224.in1k,96.690,3.310,99.360,0.640,68.93,224,0.950,bicubic
resnetrs270.tf_in1k,96.690,3.310,99.350,0.650,129.86,352,1.000,bicubic
@ -274,14 +281,15 @@ vit_medium_patch16_gap_256.sw_in12k_ft_in1k,96.670,3.330,99.490,0.510,38.86,256,
tf_efficientnet_b6.aa_in1k,96.670,3.330,99.370,0.630,43.04,528,0.942,bicubic
deit3_small_patch16_224.fb_in22k_ft_in1k,96.660,3.340,99.330,0.670,22.06,224,1.000,bicubic
flexivit_base.600ep_in1k,96.650,3.350,99.330,0.670,86.59,240,0.950,bicubic
coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,96.640,3.360,99.160,0.840,41.72,224,0.950,bicubic
davit_small.msft_in1k,96.630,3.370,99.350,0.650,49.75,224,0.950,bicubic
convformer_s18.sail_in22k_ft_in1k,96.630,3.370,99.340,0.660,26.77,224,1.000,bicubic
efficientvit_b3.r288_in1k,96.630,3.370,99.220,0.780,48.65,288,1.000,bicubic
coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,96.630,3.370,99.160,0.840,41.72,224,0.950,bicubic
resmlp_big_24_224.fb_in22k_ft_in1k,96.620,3.380,99.510,0.490,129.14,224,0.875,bicubic
regnetz_d8.ra3_in1k,96.620,3.380,99.450,0.550,23.37,320,1.000,bicubic
flexivit_base.300ep_in1k,96.620,3.380,99.270,0.730,86.59,240,0.950,bicubic
resnest200e.in1k,96.610,3.390,99.350,0.650,70.20,320,0.909,bicubic
resnext101_32x16d.fb_swsl_ig1b_ft_in1k,96.600,3.400,99.530,0.470,194.03,224,0.875,bilinear
flexivit_base.300ep_in1k,96.600,3.400,99.270,0.730,86.59,240,0.950,bicubic
xcit_medium_24_p16_224.fb_dist_in1k,96.600,3.400,99.270,0.730,84.40,224,1.000,bicubic
regnetz_d32.ra3_in1k,96.590,3.410,99.380,0.620,27.58,320,0.950,bicubic
swin_base_patch4_window12_384.ms_in1k,96.580,3.420,99.250,0.750,87.90,384,1.000,bicubic
@ -289,20 +297,22 @@ resnetrs152.tf_in1k,96.580,3.420,99.240,0.760,86.62,320,1.000,bicubic
convformer_s36.sail_in1k,96.580,3.420,99.170,0.830,40.01,224,1.000,bicubic
maxvit_rmlp_small_rw_224.sw_in1k,96.580,3.420,99.120,0.880,64.90,224,0.900,bicubic
regnetz_d8_evos.ch_in1k,96.570,3.430,99.460,0.540,23.46,320,1.000,bicubic
gcvit_base.in1k,96.570,3.430,99.230,0.770,90.32,224,0.875,bicubic
focalnet_base_srf.ms_in1k,96.560,3.440,99.140,0.860,88.15,224,0.900,bicubic
gcvit_base.in1k,96.560,3.440,99.230,0.770,90.32,224,0.875,bicubic
focalnet_base_srf.ms_in1k,96.560,3.440,99.150,0.850,88.15,224,0.900,bicubic
inception_next_base.sail_in1k,96.560,3.440,99.080,0.920,86.67,224,0.950,bicubic
cait_xs24_384.fb_dist_in1k,96.540,3.460,99.420,0.580,26.67,384,1.000,bicubic
efficientnetv2_rw_s.ra2_in1k,96.540,3.460,99.360,0.640,23.94,384,1.000,bicubic
tf_efficientnet_b7.aa_in1k,96.540,3.460,99.300,0.700,66.35,600,0.949,bicubic
crossvit_18_dagger_408.in1k,96.540,3.460,99.260,0.740,44.61,408,1.000,bicubic
coatnet_rmlp_2_rw_224.sw_in1k,96.540,3.460,99.100,0.900,73.88,224,0.950,bicubic
regnety_080.ra3_in1k,96.530,3.470,99.320,0.680,39.18,288,1.000,bicubic
xcit_tiny_24_p8_384.fb_dist_in1k,96.530,3.470,99.320,0.680,12.11,384,1.000,bicubic
swinv2_base_window8_256.ms_in1k,96.530,3.470,99.270,0.730,87.92,256,0.900,bicubic
convnext_small.fb_in1k,96.520,3.480,99.340,0.660,50.22,288,1.000,bicubic
regnety_080.ra3_in1k,96.520,3.480,99.320,0.680,39.18,288,1.000,bicubic
resnest269e.in1k,96.510,3.490,99.350,0.650,110.93,416,0.928,bicubic
vit_base_patch32_384.augreg_in21k_ft_in1k,96.490,3.510,99.410,0.590,88.30,384,1.000,bicubic
swin_small_patch4_window7_224.ms_in22k_ft_in1k,96.480,3.520,99.390,0.610,49.61,224,0.900,bicubic
fastvit_ma36.apple_in1k,96.470,3.530,99.280,0.720,44.07,256,0.950,bicubic
tf_efficientnet_b5.aa_in1k,96.470,3.530,99.240,0.760,30.39,456,0.934,bicubic
swinv2_small_window16_256.ms_in1k,96.470,3.530,99.200,0.800,49.73,256,0.900,bicubic
coat_lite_medium.in1k,96.470,3.530,99.150,0.850,44.57,224,0.900,bicubic
@ -322,32 +332,38 @@ crossvit_15_dagger_408.in1k,96.390,3.610,99.160,0.840,28.50,408,1.000,bicubic
convnextv2_nano.fcmae_ft_in22k_in1k_384,96.370,3.630,99.400,0.600,15.62,384,1.000,bicubic
mvitv2_small.fb_in1k,96.370,3.630,99.200,0.800,34.87,224,0.900,bicubic
xception65.ra3_in1k,96.360,3.640,99.240,0.760,39.92,299,0.940,bicubic
fastvit_sa36.apple_dist_in1k,96.360,3.640,99.230,0.770,31.53,256,0.900,bicubic
regnety_064.ra3_in1k,96.360,3.640,99.230,0.770,30.58,288,1.000,bicubic
pvt_v2_b5.in1k,96.360,3.640,99.170,0.830,81.96,224,0.900,bicubic
regnety_160.deit_in1k,96.350,3.650,99.330,0.670,83.59,288,1.000,bicubic
pvt_v2_b4.in1k,96.350,3.650,99.180,0.820,62.56,224,0.900,bicubic
regnety_320.seer_ft_in1k,96.340,3.660,99.350,0.650,145.05,384,1.000,bicubic
tf_efficientnet_b5.ra_in1k,96.340,3.660,99.310,0.690,30.39,456,0.934,bicubic
tf_efficientnetv2_s.in1k,96.340,3.660,99.200,0.800,21.46,384,1.000,bicubic
resnext101_32x8d.fb_wsl_ig1b_ft_in1k,96.330,3.670,99.430,0.570,88.79,224,0.875,bilinear
regnety_320.seer_ft_in1k,96.330,3.670,99.350,0.650,145.05,384,1.000,bicubic
tf_efficientnet_b5.ra_in1k,96.330,3.670,99.310,0.690,30.39,456,0.934,bicubic
repvit_m2_3.dist_450e_in1k,96.330,3.670,99.400,0.600,23.69,224,0.950,bicubic
volo_d1_224.sail_in1k,96.320,3.680,99.310,0.690,26.63,224,0.960,bicubic
dm_nfnet_f0.dm_in1k,96.310,3.690,99.320,0.680,71.49,256,0.900,bicubic
deit3_base_patch16_224.fb_in1k,96.300,3.700,99.180,0.820,86.59,224,0.900,bicubic
resnet101d.ra2_in1k,96.290,3.710,99.230,0.770,44.57,320,1.000,bicubic
tiny_vit_11m_224.dist_in22k_ft_in1k,96.290,3.710,99.190,0.810,11.00,224,0.950,bicubic
efficientvit_b3.r256_in1k,96.290,3.710,99.120,0.880,48.65,256,1.000,bicubic
gcvit_small.in1k,96.280,3.720,99.140,0.860,51.09,224,0.875,bicubic
swinv2_small_window8_256.ms_in1k,96.270,3.730,99.210,0.790,49.73,256,0.900,bicubic
twins_svt_large.in1k,96.250,3.750,99.170,0.830,99.27,224,0.900,bicubic
inception_next_small.sail_in1k,96.240,3.760,99.220,0.780,49.37,224,0.875,bicubic
nest_base_jx.goog_in1k,96.240,3.760,99.200,0.800,67.72,224,0.875,bicubic
fastvit_sa36.apple_in1k,96.240,3.760,99.190,0.810,31.53,256,0.900,bicubic
twins_svt_large.in1k,96.240,3.760,99.170,0.830,99.27,224,0.900,bicubic
swin_s3_base_224.ms_in1k,96.240,3.760,99.150,0.850,71.13,224,0.900,bicubic
maxvit_tiny_rw_224.sw_in1k,96.240,3.760,99.130,0.870,29.06,224,0.950,bicubic
pit_b_distilled_224.in1k,96.230,3.770,99.110,0.890,74.79,224,0.900,bicubic
swin_s3_small_224.ms_in1k,96.230,3.770,99.080,0.920,49.74,224,0.900,bicubic
ecaresnet101d.miil_in1k,96.220,3.780,99.310,0.690,44.57,288,0.950,bicubic
rexnetr_200.sw_in12k_ft_in1k,96.220,3.780,99.260,0.740,16.52,288,1.000,bicubic
tf_efficientnetv2_b3.in21k_ft_in1k,96.220,3.780,99.230,0.770,14.36,300,0.900,bicubic
xcit_small_24_p16_224.fb_dist_in1k,96.220,3.780,99.210,0.790,47.67,224,1.000,bicubic
xception65p.ra3_in1k,96.210,3.790,99.180,0.820,39.82,299,0.940,bicubic
deit3_small_patch16_384.fb_in1k,96.200,3.800,99.300,0.700,22.21,384,1.000,bicubic
deit3_small_patch16_384.fb_in1k,96.200,3.800,99.290,0.710,22.21,384,1.000,bicubic
rexnetr_200.sw_in12k_ft_in1k,96.200,3.800,99.260,0.740,16.52,288,1.000,bicubic
resnet152.a1h_in1k,96.200,3.800,99.220,0.780,60.19,288,1.000,bicubic
regnetv_040.ra3_in1k,96.190,3.810,99.330,0.670,20.64,288,1.000,bicubic
convnextv2_tiny.fcmae_ft_in1k,96.190,3.810,99.250,0.750,28.64,288,1.000,bicubic
@ -359,16 +375,19 @@ tf_efficientnet_b4.ap_in1k,96.160,3.840,99.270,0.730,19.34,380,0.922,bicubic
tresnet_v2_l.miil_in21k_ft_in1k,96.160,3.840,99.240,0.760,46.17,224,0.875,bilinear
deit_base_patch16_384.fb_in1k,96.160,3.840,99.140,0.860,86.86,384,1.000,bicubic
twins_svt_base.in1k,96.160,3.840,99.050,0.950,56.07,224,0.900,bicubic
fastvit_sa24.apple_dist_in1k,96.150,3.850,99.210,0.790,21.55,256,0.900,bicubic
efficientnet_b4.ra2_in1k,96.150,3.850,99.190,0.810,19.34,384,1.000,bicubic
sequencer2d_l.in1k,96.150,3.850,99.160,0.840,54.30,224,0.875,bicubic
regnetz_c16_evos.ch_in1k,96.140,3.860,99.360,0.640,13.49,320,0.950,bicubic
twins_pcpvt_large.in1k,96.140,3.860,99.170,0.830,60.99,224,0.900,bicubic
caformer_s18.sail_in1k,96.140,3.860,99.000,1.000,26.34,224,1.000,bicubic
resnetv2_50x1_bit.goog_distilled_in1k,96.130,3.870,99.280,0.720,25.55,224,0.875,bicubic
vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,96.130,3.870,99.220,0.780,88.22,224,0.900,bicubic
tiny_vit_21m_224.in1k,96.130,3.870,99.160,0.840,21.20,224,0.950,bicubic
repvit_m2_3.dist_300e_in1k,96.120,3.880,99.340,0.660,23.69,224,0.950,bicubic
resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k,96.120,3.880,99.270,0.730,236.34,224,0.875,bicubic
nfnet_l0.ra2_in1k,96.120,3.880,99.240,0.760,35.07,288,1.000,bicubic
swin_base_patch4_window7_224.ms_in1k,96.120,3.880,99.060,0.940,87.77,224,0.900,bicubic
resnetv2_50x1_bit.goog_distilled_in1k,96.110,3.890,99.280,0.720,25.55,224,0.875,bicubic
efficientformer_l7.snap_dist_in1k,96.110,3.890,99.270,0.730,82.23,224,0.950,bicubic
xcit_small_12_p8_224.fb_in1k,96.110,3.890,99.160,0.840,26.21,224,1.000,bicubic
resnetv2_101x1_bit.goog_in21k_ft_in1k,96.100,3.900,99.280,0.720,44.54,448,1.000,bilinear
@ -377,20 +396,21 @@ deit_base_distilled_patch16_224.fb_in1k,96.090,3.910,99.190,0.810,87.34,224,0.90
xcit_medium_24_p8_224.fb_in1k,96.090,3.910,98.890,1.110,84.32,224,1.000,bicubic
resnext101_64x4d.c1_in1k,96.080,3.920,99.240,0.760,83.46,288,1.000,bicubic
regnety_320.tv2_in1k,96.080,3.920,99.230,0.770,145.05,224,0.965,bicubic
deit3_medium_patch16_224.fb_in1k,96.080,3.920,99.200,0.800,38.85,224,0.900,bicubic
xcit_tiny_12_p8_384.fb_dist_in1k,96.080,3.920,99.140,0.860,6.71,384,1.000,bicubic
swinv2_cr_small_224.sw_in1k,96.080,3.920,98.860,1.140,49.70,224,0.900,bicubic
tf_efficientnet_b5.in1k,96.070,3.930,99.290,0.710,30.39,456,0.934,bicubic
deit3_medium_patch16_224.fb_in1k,96.070,3.930,99.200,0.800,38.85,224,0.900,bicubic
efficientformerv2_l.snap_dist_in1k,96.070,3.930,99.190,0.810,26.32,224,0.950,bicubic
focalnet_small_srf.ms_in1k,96.070,3.930,99.120,0.880,49.89,224,0.900,bicubic
convnextv2_nano.fcmae_ft_in22k_in1k,96.060,3.940,99.220,0.780,15.62,288,1.000,bicubic
mobilevitv2_200.cvnets_in22k_ft_in1k_384,96.060,3.940,99.080,0.920,18.45,384,1.000,bicubic
resnetv2_101.a1h_in1k,96.050,3.950,99.170,0.830,44.54,288,1.000,bicubic
cs3edgenet_x.c2_in1k,96.050,3.950,99.140,0.860,47.82,288,1.000,bicubic
maxxvit_rmlp_nano_rw_256.sw_in1k,96.040,3.960,99.260,0.740,16.78,256,0.950,bicubic
resnetv2_101.a1h_in1k,96.040,3.960,99.170,0.830,44.54,288,1.000,bicubic
resnext101_64x4d.tv_in1k,96.030,3.970,99.160,0.840,83.46,224,0.875,bilinear
xcit_small_12_p16_224.fb_dist_in1k,96.030,3.970,99.130,0.870,26.25,224,1.000,bicubic
coatnet_1_rw_224.sw_in1k,96.030,3.970,99.060,0.940,41.72,224,0.950,bicubic
efficientvit_b3.r224_in1k,96.030,3.970,98.990,1.010,48.65,224,0.950,bicubic
regnety_040.ra3_in1k,96.020,3.980,99.190,0.810,20.65,288,1.000,bicubic
resnet101.a1h_in1k,96.020,3.980,99.140,0.860,44.55,288,1.000,bicubic
cs3sedarknet_x.c2ns_in1k,96.020,3.980,99.110,0.890,35.40,288,1.000,bicubic
@ -404,6 +424,7 @@ sequencer2d_s.in1k,95.980,4.020,99.050,0.950,27.65,224,0.875,bicubic
regnety_160.tv2_in1k,95.970,4.030,99.150,0.850,83.59,224,0.965,bicubic
nest_small_jx.goog_in1k,95.970,4.030,99.030,0.970,38.35,224,0.875,bicubic
maxvit_rmlp_nano_rw_256.sw_in1k,95.970,4.030,98.970,1.030,15.50,256,0.950,bicubic
efficientvit_b2.r288_in1k,95.960,4.040,99.190,0.810,24.33,288,1.000,bicubic
regnety_032.ra_in1k,95.960,4.040,99.190,0.810,19.44,288,1.000,bicubic
coatnet_rmlp_1_rw_224.sw_in1k,95.960,4.040,99.160,0.840,41.69,224,0.950,bicubic
resnext101_32x8d.tv2_in1k,95.950,4.050,99.080,0.920,88.79,224,0.965,bilinear
@ -413,12 +434,14 @@ eca_nfnet_l0.ra2_in1k,95.940,4.060,99.210,0.790,24.14,288,1.000,bicubic
regnetz_c16.ra3_in1k,95.940,4.060,99.110,0.890,13.46,320,1.000,bicubic
swinv2_tiny_window16_256.ms_in1k,95.930,4.070,99.150,0.850,28.35,256,0.900,bicubic
swin_small_patch4_window7_224.ms_in1k,95.930,4.070,99.020,0.980,49.61,224,0.900,bicubic
fastvit_sa24.apple_in1k,95.920,4.080,99.160,0.840,21.55,256,0.900,bicubic
maxvit_nano_rw_256.sw_in1k,95.920,4.080,99.010,0.990,15.45,256,0.950,bicubic
coat_small.in1k,95.910,4.090,99.150,0.850,21.69,224,0.900,bicubic
tf_efficientnet_b4.aa_in1k,95.900,4.100,99.170,0.830,19.34,380,0.922,bicubic
repvit_m1_5.dist_450e_in1k,95.900,4.100,99.120,0.880,14.64,224,0.950,bicubic
maxxvitv2_nano_rw_256.sw_in1k,95.900,4.100,99.050,0.950,23.70,256,0.950,bicubic
regnetx_160.tv2_in1k,95.880,4.120,99.090,0.910,54.28,224,0.965,bicubic
resnet51q.ra2_in1k,95.870,4.130,99.120,0.880,35.70,288,1.000,bilinear
resnet51q.ra2_in1k,95.870,4.130,99.130,0.870,35.70,288,1.000,bilinear
resnext50_32x4d.fb_swsl_ig1b_ft_in1k,95.860,4.140,99.250,0.750,25.03,224,0.875,bilinear
resnest101e.in1k,95.860,4.140,99.200,0.800,48.28,256,0.875,bilinear
tresnet_l.miil_in1k_448,95.860,4.140,99.120,0.880,55.99,448,0.875,bilinear
@ -435,8 +458,8 @@ sequencer2d_m.in1k,95.810,4.190,99.110,0.890,38.31,224,0.875,bicubic
convnextv2_nano.fcmae_ft_in1k,95.800,4.200,99.090,0.910,15.62,288,1.000,bicubic
resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k,95.790,4.210,99.180,0.820,194.03,224,0.875,bilinear
convnext_tiny.fb_in1k,95.790,4.210,99.160,0.840,28.59,288,1.000,bicubic
twins_pcpvt_base.in1k,95.790,4.210,99.130,0.870,43.83,224,0.900,bicubic
resnet61q.ra2_in1k,95.780,4.220,98.990,1.010,36.85,288,1.000,bicubic
twins_pcpvt_base.in1k,95.770,4.230,99.130,0.870,43.83,224,0.900,bicubic
tf_efficientnet_b2.ns_jft_in1k,95.770,4.230,99.120,0.880,9.11,260,0.890,bicubic
vit_relpos_base_patch16_clsgap_224.sw_in1k,95.770,4.230,99.040,0.960,86.43,224,0.900,bicubic
poolformerv2_m48.sail_in1k,95.770,4.230,98.980,1.020,73.35,224,1.000,bicubic
@ -453,18 +476,20 @@ crossvit_15_dagger_240.in1k,95.680,4.320,98.830,1.170,28.21,240,0.875,bicubic
flexivit_small.600ep_in1k,95.670,4.330,99.060,0.940,22.06,240,0.950,bicubic
xcit_tiny_24_p8_224.fb_in1k,95.660,4.340,99.050,0.950,12.11,224,1.000,bicubic
davit_tiny.msft_in1k,95.660,4.340,99.030,0.970,28.36,224,0.950,bicubic
vit_small_r26_s32_224.augreg_in21k_ft_in1k,95.640,4.360,99.190,0.810,36.43,224,0.900,bicubic
efficientvit_b2.r256_in1k,95.650,4.350,99.060,0.940,24.33,256,1.000,bicubic
repvit_m1_5.dist_300e_in1k,95.640,4.360,98.990,1.010,14.64,224,0.950,bicubic
wide_resnet50_2.racm_in1k,95.630,4.370,99.240,0.760,68.88,288,0.950,bicubic
vit_small_r26_s32_224.augreg_in21k_ft_in1k,95.630,4.370,99.190,0.810,36.43,224,0.900,bicubic
resnetv2_50d_evos.ah_in1k,95.630,4.370,99.110,0.890,25.59,288,1.000,bicubic
poolformer_m48.sail_in1k,95.630,4.370,98.940,1.060,73.47,224,0.950,bicubic
pit_b_224.in1k,95.620,4.380,98.670,1.330,73.76,224,0.900,bicubic
efficientnetv2_rw_t.ra2_in1k,95.600,4.400,99.070,0.930,13.65,288,1.000,bicubic
pit_b_224.in1k,95.630,4.370,98.660,1.340,73.76,224,0.900,bicubic
efficientformer_l3.snap_dist_in1k,95.590,4.410,99.160,0.840,31.41,224,0.950,bicubic
efficientnetv2_rw_t.ra2_in1k,95.590,4.410,99.070,0.930,13.65,288,1.000,bicubic
gcvit_xtiny.in1k,95.590,4.410,99.040,0.960,19.98,224,0.875,bicubic
crossvit_18_dagger_240.in1k,95.570,4.430,99.060,0.940,44.27,240,0.875,bicubic
vit_relpos_base_patch16_224.sw_in1k,95.560,4.440,99.030,0.970,86.43,224,0.900,bicubic
pvt_v2_b2_li.in1k,95.560,4.440,98.990,1.010,22.55,224,0.900,bicubic
flexivit_small.1200ep_in1k,95.550,4.450,99.120,0.880,22.06,240,0.950,bicubic
flexivit_small.1200ep_in1k,95.550,4.450,99.110,0.890,22.06,240,0.950,bicubic
convit_base.fb_in1k,95.550,4.450,98.880,1.120,86.54,224,0.875,bicubic
wide_resnet101_2.tv2_in1k,95.540,4.460,99.080,0.920,126.89,224,0.965,bilinear
coat_lite_small.in1k,95.540,4.460,98.860,1.140,19.84,224,0.900,bicubic
@ -473,24 +498,26 @@ xcit_medium_24_p16_224.fb_in1k,95.540,4.460,98.720,1.280,84.40,224,1.000,bicubic
levit_384.fb_dist_in1k,95.530,4.470,99.060,0.940,39.13,224,0.900,bicubic
levit_conv_384.fb_dist_in1k,95.530,4.470,99.050,0.950,39.13,224,0.900,bicubic
ecaresnet50t.ra2_in1k,95.520,4.480,99.110,0.890,25.57,320,0.950,bicubic
fbnetv3_g.ra2_in1k,95.520,4.480,98.990,1.010,16.62,288,0.950,bilinear
vit_base_patch32_clip_224.laion2b_ft_in1k,95.520,4.480,98.870,1.130,88.22,224,0.900,bicubic
resnet101.a1_in1k,95.520,4.480,98.850,1.150,44.55,288,1.000,bicubic
crossvit_base_240.in1k,95.520,4.480,98.810,1.190,105.03,240,0.875,bicubic
swin_tiny_patch4_window7_224.ms_in22k_ft_in1k,95.510,4.490,99.200,0.800,28.29,224,0.900,bicubic
resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k,95.510,4.490,99.120,0.880,88.79,224,0.875,bilinear
fbnetv3_g.ra2_in1k,95.510,4.490,98.990,1.010,16.62,288,0.950,bilinear
xception41p.ra3_in1k,95.510,4.490,98.910,1.090,26.91,299,0.940,bicubic
focalnet_tiny_srf.ms_in1k,95.500,4.500,99.130,0.870,28.43,224,0.900,bicubic
vit_relpos_medium_patch16_rpn_224.sw_in1k,95.500,4.500,99.080,0.920,38.73,224,0.900,bicubic
flexivit_small.300ep_in1k,95.500,4.500,98.960,1.040,22.06,240,0.950,bicubic
resnet152.tv2_in1k,95.500,4.500,98.960,1.040,60.19,224,0.965,bilinear
resnet152.a1_in1k,95.500,4.500,98.780,1.220,60.19,288,1.000,bicubic
swinv2_tiny_window8_256.ms_in1k,95.490,4.510,99.100,0.900,28.35,256,0.900,bicubic
visformer_small.in1k,95.490,4.510,98.900,1.100,40.22,224,0.900,bicubic
tiny_vit_11m_224.in1k,95.490,4.510,98.990,1.010,11.00,224,0.950,bicubic
flexivit_small.300ep_in1k,95.490,4.510,98.960,1.040,22.06,240,0.950,bicubic
resnet152.a2_in1k,95.490,4.510,98.790,1.210,60.19,288,1.000,bicubic
pvt_v2_b2.in1k,95.480,4.520,99.000,1.000,25.36,224,0.900,bicubic
resnetv2_50d_gn.ah_in1k,95.480,4.520,98.950,1.050,25.57,288,1.000,bicubic
visformer_small.in1k,95.480,4.520,98.900,1.100,40.22,224,0.900,bicubic
vit_relpos_medium_patch16_cls_224.sw_in1k,95.470,4.530,98.950,1.050,38.76,224,0.900,bicubic
inception_next_tiny.sail_in1k,95.460,4.540,99.010,0.990,28.06,224,0.875,bicubic
vit_relpos_medium_patch16_224.sw_in1k,95.460,4.540,98.960,1.040,38.75,224,0.900,bicubic
focalnet_tiny_lrf.ms_in1k,95.460,4.540,98.910,1.090,28.65,224,0.900,bicubic
ecaresnet50d.miil_in1k,95.450,4.550,99.090,0.910,25.58,288,0.950,bicubic
@ -503,9 +530,9 @@ coatnet_0_rw_224.sw_in1k,95.440,4.560,98.720,1.280,27.44,224,0.950,bicubic
resnetrs101.tf_in1k,95.430,4.570,99.040,0.960,63.62,288,0.940,bicubic
coatnext_nano_rw_224.sw_in1k,95.430,4.570,99.010,0.990,14.70,224,0.900,bicubic
coatnet_rmlp_nano_rw_224.sw_in1k,95.430,4.570,98.990,1.010,15.15,224,0.900,bicubic
xcit_small_12_p16_224.fb_in1k,95.430,4.570,98.840,1.160,26.25,224,1.000,bicubic
xcit_large_24_p16_224.fb_in1k,95.430,4.570,98.630,1.370,189.10,224,1.000,bicubic
halo2botnet50ts_256.a1h_in1k,95.420,4.580,99.020,0.980,22.64,256,0.950,bicubic
xcit_small_12_p16_224.fb_in1k,95.420,4.580,98.840,1.160,26.25,224,1.000,bicubic
ecaresnet50t.a1_in1k,95.410,4.590,99.010,0.990,25.57,288,1.000,bicubic
resnet101.a2_in1k,95.410,4.590,98.940,1.060,44.55,288,1.000,bicubic
resnet50.fb_swsl_ig1b_ft_in1k,95.400,4.600,99.300,0.700,25.56,224,0.875,bilinear
@ -529,7 +556,7 @@ ecaresnetlight.miil_in1k,95.290,4.710,99.030,0.970,30.16,288,0.950,bicubic
vit_small_patch16_384.augreg_in1k,95.290,4.710,99.000,1.000,22.20,384,1.000,bicubic
tresnet_l.miil_in1k,95.280,4.720,99.010,0.990,55.99,224,0.875,bilinear
cait_xxs24_384.fb_dist_in1k,95.280,4.720,98.960,1.040,12.03,384,1.000,bicubic
resnet101.tv2_in1k,95.270,4.730,98.910,1.090,44.55,224,0.965,bilinear
resnet101.tv2_in1k,95.280,4.720,98.910,1.090,44.55,224,0.965,bilinear
resnet50_gn.a1h_in1k,95.250,4.750,99.000,1.000,25.56,288,0.950,bicubic
vit_srelpos_medium_patch16_224.sw_in1k,95.240,4.760,98.990,1.010,38.74,224,0.900,bicubic
nest_tiny_jx.goog_in1k,95.240,4.760,98.980,1.020,17.06,224,0.875,bicubic
@ -539,17 +566,20 @@ convnextv2_pico.fcmae_ft_in1k,95.230,4.770,98.920,1.080,9.07,288,0.950,bicubic
mobilevitv2_175.cvnets_in22k_ft_in1k,95.220,4.780,98.800,1.200,14.25,256,0.888,bicubic
convit_small.fb_in1k,95.210,4.790,98.900,1.100,27.78,224,0.875,bicubic
twins_pcpvt_small.in1k,95.210,4.790,98.880,1.120,24.11,224,0.900,bicubic
repvit_m3.dist_in1k,95.200,4.800,99.090,0.910,10.68,224,0.950,bicubic
resnetaa50.a1h_in1k,95.200,4.800,98.920,1.080,25.56,288,1.000,bicubic
efficientvit_b2.r224_in1k,95.200,4.800,98.820,1.180,24.33,224,0.950,bicubic
twins_svt_small.in1k,95.190,4.810,98.880,1.120,24.06,224,0.900,bicubic
swin_s3_tiny_224.ms_in1k,95.180,4.820,98.950,1.050,28.33,224,0.900,bicubic
tf_efficientnetv2_b3.in1k,95.180,4.820,98.820,1.180,14.36,300,0.904,bicubic
regnetz_b16.ra3_in1k,95.170,4.830,99.080,0.920,9.72,288,1.000,bicubic
tf_efficientnet_b1.ns_jft_in1k,95.160,4.840,99.100,0.900,7.79,240,0.882,bicubic
cs3darknet_focus_l.c2ns_in1k,95.160,4.840,98.960,1.040,21.15,288,0.950,bicubic
mobilevitv2_200.cvnets_in22k_ft_in1k,95.160,4.840,98.950,1.050,18.45,256,0.888,bicubic
lamhalobotnet50ts_256.a1h_in1k,95.160,4.840,98.880,1.120,22.57,256,0.950,bicubic
tf_efficientnetv2_b3.in1k,95.160,4.840,98.820,1.180,14.36,300,0.904,bicubic
cs3darknet_focus_l.c2ns_in1k,95.150,4.850,98.960,1.040,21.15,288,0.950,bicubic
vit_relpos_small_patch16_224.sw_in1k,95.150,4.850,98.960,1.040,21.98,224,0.900,bicubic
crossvit_15_240.in1k,95.150,4.850,98.930,1.070,27.53,240,0.875,bicubic
lamhalobotnet50ts_256.a1h_in1k,95.150,4.850,98.880,1.120,22.57,256,0.950,bicubic
fastvit_sa12.apple_dist_in1k,95.150,4.850,98.810,1.190,11.58,256,0.900,bicubic
pit_s_distilled_224.in1k,95.140,4.860,98.890,1.110,24.04,224,0.900,bicubic
mobilevitv2_150.cvnets_in22k_ft_in1k,95.140,4.860,98.860,1.140,10.59,256,0.888,bicubic
swin_tiny_patch4_window7_224.ms_in1k,95.140,4.860,98.850,1.150,28.29,224,0.900,bicubic
@ -566,17 +596,18 @@ xcit_tiny_12_p8_224.fb_dist_in1k,95.090,4.910,98.910,1.090,6.71,224,1.000,bicubi
convmixer_1536_20.in1k,95.080,4.920,99.030,0.970,51.63,224,0.960,bicubic
poolformer_s36.sail_in1k,95.080,4.920,98.910,1.090,30.86,224,0.900,bicubic
legacy_senet154.in1k,95.070,4.930,98.830,1.170,115.09,224,0.875,bilinear
tiny_vit_5m_224.dist_in22k_ft_in1k,95.050,4.950,98.970,1.030,5.39,224,0.950,bicubic
seresnet33ts.ra2_in1k,95.040,4.960,98.900,1.100,19.78,288,1.000,bicubic
tnt_s_patch16_224,95.040,4.960,98.830,1.170,23.76,224,0.900,bicubic
vit_small_patch32_384.augreg_in21k_ft_in1k,95.030,4.970,98.990,1.010,22.92,384,1.000,bicubic
vit_srelpos_small_patch16_224.sw_in1k,95.030,4.970,98.950,1.050,21.97,224,0.900,bicubic
vit_small_patch32_384.augreg_in21k_ft_in1k,95.020,4.980,98.990,1.010,22.92,384,1.000,bicubic
resnet152s.gluon_in1k,95.020,4.980,98.930,1.070,60.32,224,0.875,bicubic
levit_256.fb_dist_in1k,95.020,4.980,98.880,1.120,18.89,224,0.900,bicubic
levit_conv_256.fb_dist_in1k,95.020,4.980,98.880,1.120,18.89,224,0.900,bicubic
resnetv2_50x1_bit.goog_in21k_ft_in1k,95.010,4.990,99.060,0.940,25.55,448,1.000,bilinear
vit_base_patch32_224.augreg_in21k_ft_in1k,95.010,4.990,99.030,0.970,88.22,224,0.900,bicubic
resnet50d.ra2_in1k,95.010,4.990,98.980,1.020,25.58,288,0.950,bicubic
tf_efficientnet_b3.aa_in1k,95.000,5.000,98.910,1.090,12.23,300,0.904,bicubic
tf_efficientnet_b3.aa_in1k,95.010,4.990,98.910,1.090,12.23,300,0.904,bicubic
tresnet_m.miil_in1k_448,94.990,5.010,98.980,1.020,31.39,448,0.875,bilinear
deit3_small_patch16_224.fb_in1k,94.990,5.010,98.460,1.540,22.06,224,0.900,bicubic
resnet50.d_in1k,94.980,5.020,98.840,1.160,25.56,288,1.000,bicubic
@ -589,28 +620,33 @@ gcresnet33ts.ra2_in1k,94.920,5.080,98.810,1.190,19.88,288,1.000,bicubic
resnet50.c2_in1k,94.920,5.080,98.810,1.190,25.56,288,1.000,bicubic
senet154.gluon_in1k,94.920,5.080,98.760,1.240,115.09,224,0.875,bicubic
eva02_tiny_patch14_336.mim_in22k_ft_in1k,94.910,5.090,98.880,1.120,5.76,336,1.000,bicubic
repvit_m1_1.dist_450e_in1k,94.900,5.100,98.960,1.040,8.80,224,0.950,bicubic
resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,94.890,5.110,98.870,1.130,25.03,224,0.875,bilinear
mobilevitv2_175.cvnets_in1k,94.890,5.110,98.860,1.140,14.25,256,0.888,bicubic
resmlp_36_224.fb_distilled_in1k,94.890,5.110,98.860,1.140,44.69,224,0.875,bicubic
seresnext101_32x4d.gluon_in1k,94.890,5.110,98.820,1.180,48.96,224,0.875,bicubic
tf_efficientnet_lite4.in1k,94.880,5.120,99.020,0.980,13.01,380,0.920,bilinear
fastvit_sa12.apple_in1k,94.880,5.120,98.890,1.110,11.58,256,0.900,bicubic
wide_resnet50_2.tv2_in1k,94.870,5.130,98.940,1.060,68.88,224,0.965,bilinear
ese_vovnet39b.ra_in1k,94.870,5.130,98.910,1.090,24.57,288,0.950,bicubic
resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,94.860,5.140,98.870,1.130,25.03,224,0.875,bilinear
gcresnext50ts.ch_in1k,94.860,5.140,98.860,1.140,15.67,288,1.000,bicubic
resnet50.b1k_in1k,94.860,5.140,98.810,1.190,25.56,288,1.000,bicubic
crossvit_small_240.in1k,94.850,5.150,99.010,0.990,26.86,240,0.875,bicubic
crossvit_small_240.in1k,94.850,5.150,99.020,0.980,26.86,240,0.875,bicubic
resnest50d.in1k,94.850,5.150,98.880,1.120,27.48,224,0.875,bilinear
resnetv2_50.a1h_in1k,94.850,5.150,98.870,1.130,25.55,288,1.000,bicubic
mobilevitv2_200.cvnets_in1k,94.840,5.160,98.710,1.290,18.45,256,0.888,bicubic
convnext_tiny.fb_in22k_ft_in1k,94.840,5.160,98.530,1.470,28.59,288,1.000,bicubic
fastvit_s12.apple_dist_in1k,94.830,5.170,98.810,1.190,9.47,256,0.900,bicubic
cspresnext50.ra_in1k,94.830,5.170,98.770,1.230,20.57,256,0.887,bilinear
resnext50_32x4d.a1_in1k,94.830,5.170,98.590,1.410,25.03,288,1.000,bicubic
res2net101d.in1k,94.820,5.180,98.770,1.230,45.23,224,0.875,bilinear
resnext50_32x4d.a1_in1k,94.820,5.180,98.600,1.400,25.03,288,1.000,bicubic
resnet50.a1h_in1k,94.770,5.230,98.690,1.310,25.56,224,1.000,bicubic
lambda_resnet50ts.a1h_in1k,94.770,5.230,98.470,1.530,21.54,256,0.950,bicubic
repvit_m1_1.dist_300e_in1k,94.760,5.240,98.930,1.070,8.80,224,0.950,bicubic
convnext_pico.d1_in1k,94.760,5.240,98.710,1.290,9.05,288,0.950,bicubic
sehalonet33ts.ra2_in1k,94.760,5.240,98.570,1.430,13.69,256,0.940,bicubic
resnet50.a1_in1k,94.740,5.260,98.710,1.290,25.56,288,1.000,bicubic
repvit_m2.dist_in1k,94.740,5.260,98.680,1.320,8.80,224,0.950,bicubic
resnest50d_1s4x24d.in1k,94.730,5.270,98.980,1.020,25.68,224,0.875,bicubic
resnet50.c1_in1k,94.730,5.270,98.930,1.070,25.56,288,1.000,bicubic
resnet50.b2k_in1k,94.730,5.270,98.820,1.180,25.56,288,1.000,bicubic
@ -626,22 +662,23 @@ resmlp_big_24_224.fb_in1k,94.680,5.320,98.500,1.500,129.14,224,0.875,bicubic
edgenext_small_rw.sw_in1k,94.670,5.330,98.780,1.220,7.83,320,1.000,bicubic
resnext101_64x4d.gluon_in1k,94.670,5.330,98.660,1.340,83.46,224,0.875,bicubic
regnetx_032.tv2_in1k,94.660,5.340,98.850,1.150,15.30,224,0.965,bicubic
resnet50.tv2_in1k,94.660,5.340,98.790,1.210,25.56,224,0.965,bilinear
cspdarknet53.ra_in1k,94.660,5.340,98.800,1.200,27.64,256,0.887,bilinear
seresnet50.a2_in1k,94.660,5.340,98.780,1.220,28.09,288,1.000,bicubic
seresnet50.a1_in1k,94.660,5.340,98.720,1.280,28.09,288,1.000,bicubic
poolformerv2_s24.sail_in1k,94.650,5.350,98.840,1.160,21.34,224,1.000,bicubic
cspdarknet53.ra_in1k,94.650,5.350,98.800,1.200,27.64,256,0.887,bilinear
maxvit_rmlp_pico_rw_256.sw_in1k,94.630,5.370,98.810,1.190,7.52,256,0.950,bicubic
maxvit_rmlp_pico_rw_256.sw_in1k,94.640,5.360,98.810,1.190,7.52,256,0.950,bicubic
resnet50.tv2_in1k,94.640,5.360,98.800,1.200,25.56,224,0.965,bilinear
efficientnet_b3_pruned.in1k,94.630,5.370,98.760,1.240,9.86,300,0.904,bicubic
resnet50.a2_in1k,94.630,5.370,98.660,1.340,25.56,288,1.000,bicubic
tresnet_m.miil_in1k,94.630,5.370,98.550,1.450,31.39,224,0.875,bilinear
eca_resnet33ts.ra2_in1k,94.620,5.380,98.910,1.090,19.68,288,1.000,bicubic
darknet53.c2ns_in1k,94.620,5.380,98.900,1.100,41.61,288,1.000,bicubic
gernet_m.idstcv_in1k,94.620,5.380,98.860,1.140,21.14,224,0.875,bilinear
resnext50_32x4d.tv2_in1k,94.620,5.380,98.780,1.220,25.03,224,0.965,bilinear
convnext_pico_ols.d1_in1k,94.620,5.380,98.760,1.240,9.06,288,1.000,bicubic
efficientnet_b2.ra_in1k,94.620,5.380,98.710,1.290,9.11,288,1.000,bicubic
tresnet_m.miil_in1k,94.620,5.380,98.550,1.450,31.39,224,0.875,bilinear
sebotnet33ts_256.a1h_in1k,94.610,5.390,98.510,1.490,13.70,256,0.940,bicubic
fastvit_t12.apple_dist_in1k,94.590,5.410,98.790,1.210,7.55,256,0.900,bicubic
inception_resnet_v2.tf_in1k,94.580,5.420,98.790,1.210,55.84,299,0.897,bicubic
resnet50d.a2_in1k,94.580,5.420,98.690,1.310,25.58,288,1.000,bicubic
resnext50_32x4d.a2_in1k,94.580,5.420,98.650,1.350,25.03,288,1.000,bicubic
@ -655,38 +692,42 @@ tf_efficientnet_b3.in1k,94.540,5.460,98.800,1.200,12.23,300,0.904,bicubic
nf_resnet50.ra2_in1k,94.540,5.460,98.790,1.210,25.56,288,0.940,bicubic
xcit_tiny_24_p16_224.fb_dist_in1k,94.540,5.460,98.780,1.220,12.12,224,1.000,bicubic
resnext101_32x4d.gluon_in1k,94.540,5.460,98.630,1.370,44.18,224,0.875,bicubic
repvit_m1_0.dist_450e_in1k,94.530,5.470,98.880,1.120,7.30,224,0.950,bicubic
regnety_016.tv2_in1k,94.520,5.480,98.820,1.180,11.20,224,0.965,bicubic
resnet50.ram_in1k,94.520,5.480,98.650,1.350,25.56,288,0.950,bicubic
repvgg_b3g4.rvgg_in1k,94.510,5.490,98.970,1.030,83.83,224,0.875,bilinear
tf_efficientnet_b2.ap_in1k,94.510,5.490,98.620,1.380,9.11,260,0.890,bicubic
convmixer_768_32.in1k,94.500,5.500,98.860,1.140,21.11,224,0.960,bicubic
efficientvit_b1.r288_in1k,94.490,5.510,98.520,1.480,9.10,288,1.000,bicubic
efficientformer_l1.snap_dist_in1k,94.480,5.520,98.830,1.170,12.29,224,0.950,bicubic
rexnet_150.nav_in1k,94.480,5.520,98.800,1.200,9.73,224,0.875,bicubic
regnety_120.pycls_in1k,94.470,5.530,98.820,1.180,51.82,224,0.875,bicubic
darknetaa53.c2ns_in1k,94.470,5.530,98.760,1.240,36.02,288,1.000,bilinear
darknetaa53.c2ns_in1k,94.470,5.530,98.770,1.230,36.02,288,1.000,bilinear
resnetblur50.bt_in1k,94.460,5.540,98.840,1.160,25.56,288,0.950,bicubic
resnet50.fb_ssl_yfcc100m_ft_in1k,94.450,5.550,98.920,1.080,25.56,224,0.875,bilinear
resmlp_24_224.fb_distilled_in1k,94.450,5.550,98.770,1.230,30.02,224,0.875,bicubic
regnetx_320.pycls_in1k,94.450,5.550,98.740,1.260,107.81,224,0.875,bicubic
gcvit_xxtiny.in1k,94.420,5.580,98.890,1.110,12.00,224,0.875,bicubic
tf_efficientnetv2_b2.in1k,94.420,5.580,98.580,1.420,10.10,260,0.890,bicubic
efficientnet_el_pruned.in1k,94.400,5.600,98.740,1.260,10.59,300,0.904,bicubic
tf_efficientnet_el.in1k,94.400,5.600,98.710,1.290,10.59,300,0.904,bicubic
efficientnet_el_pruned.in1k,94.390,5.610,98.740,1.260,10.59,300,0.904,bicubic
tf_efficientnet_b2.aa_in1k,94.380,5.620,98.610,1.390,9.11,260,0.890,bicubic
deit_small_patch16_224.fb_in1k,94.370,5.630,98.700,1.300,22.05,224,0.900,bicubic
legacy_seresnext101_32x4d.in1k,94.370,5.630,98.630,1.370,48.96,224,0.875,bilinear
inception_v4.tf_in1k,94.370,5.630,98.580,1.420,42.68,299,0.875,bicubic
regnety_160.pycls_in1k,94.360,5.640,98.860,1.140,83.59,224,0.875,bicubic
legacy_seresnext101_32x4d.in1k,94.360,5.640,98.630,1.370,48.96,224,0.875,bilinear
deit_small_patch16_224.fb_in1k,94.350,5.650,98.690,1.310,22.05,224,0.900,bicubic
ecaresnet50t.a3_in1k,94.350,5.650,98.670,1.330,25.57,224,0.950,bicubic
dpn107.mx_in1k,94.340,5.660,98.500,1.500,86.92,224,0.875,bicubic
seresnext50_32x4d.gluon_in1k,94.330,5.670,98.610,1.390,27.56,224,0.875,bicubic
ecaresnet26t.ra2_in1k,94.320,5.680,98.720,1.280,16.01,320,0.950,bicubic
resnet50.bt_in1k,94.320,5.680,98.640,1.360,25.56,288,0.950,bicubic
resnetrs50.tf_in1k,94.320,5.680,98.640,1.360,35.69,224,0.910,bicubic
res2net50d.in1k,94.320,5.680,98.530,1.470,25.72,224,0.875,bilinear
resnet50.bt_in1k,94.310,5.690,98.640,1.360,25.56,288,0.950,bicubic
repvit_m1_0.dist_300e_in1k,94.300,5.700,98.850,1.150,7.30,224,0.950,bicubic
xception71.tf_in1k,94.300,5.700,98.650,1.350,42.34,299,0.903,bicubic
dpn92.mx_in1k,94.290,5.710,98.750,1.250,37.67,224,0.875,bicubic
cait_xxs36_224.fb_dist_in1k,94.270,5.730,98.710,1.290,17.30,224,1.000,bicubic
tiny_vit_5m_224.in1k,94.240,5.760,98.690,1.310,5.39,224,0.950,bicubic
skresnext50_32x4d.ra_in1k,94.240,5.760,98.460,1.540,27.48,224,0.875,bicubic
regnetx_120.pycls_in1k,94.230,5.770,98.670,1.330,46.11,224,0.875,bicubic
resnet101d.gluon_in1k,94.230,5.770,98.540,1.460,44.57,224,0.875,bicubic
@ -695,9 +736,9 @@ tf_efficientnet_lite3.in1k,94.200,5.800,98.640,1.360,8.20,300,0.904,bilinear
efficientformerv2_s1.snap_dist_in1k,94.200,5.800,98.630,1.370,6.19,224,0.950,bicubic
resmlp_36_224.fb_in1k,94.190,5.810,98.660,1.340,44.69,224,0.875,bicubic
convnextv2_femto.fcmae_ft_in1k,94.190,5.810,98.610,1.390,5.23,288,0.950,bicubic
mixnet_xl.ra_in1k,94.180,5.820,98.330,1.670,11.90,224,0.875,bicubic
mixnet_xl.ra_in1k,94.180,5.820,98.320,1.680,11.90,224,0.875,bicubic
regnety_080.pycls_in1k,94.170,5.830,98.680,1.320,39.18,224,0.875,bicubic
inception_resnet_v2.tf_ens_adv_in1k,94.170,5.830,98.620,1.380,55.84,299,0.897,bicubic
inception_resnet_v2.tf_ens_adv_in1k,94.170,5.830,98.600,1.400,55.84,299,0.897,bicubic
levit_192.fb_dist_in1k,94.170,5.830,98.540,1.460,10.95,224,0.900,bicubic
levit_conv_192.fb_dist_in1k,94.170,5.830,98.540,1.460,10.95,224,0.900,bicubic
resnet152c.gluon_in1k,94.160,5.840,98.640,1.360,60.21,224,0.875,bicubic
@ -708,17 +749,19 @@ regnetx_160.pycls_in1k,94.140,5.860,98.750,1.250,54.28,224,0.875,bicubic
regnety_064.pycls_in1k,94.140,5.860,98.710,1.290,30.58,224,0.875,bicubic
efficientnet_b2_pruned.in1k,94.140,5.860,98.520,1.480,8.31,260,0.890,bicubic
regnetx_016.tv2_in1k,94.130,5.870,98.750,1.250,9.19,224,0.965,bicubic
fastvit_s12.apple_in1k,94.130,5.870,98.620,1.380,9.47,256,0.900,bicubic
nf_regnet_b1.ra2_in1k,94.110,5.890,98.620,1.380,10.22,288,0.900,bicubic
tf_efficientnet_b2.in1k,94.110,5.890,98.450,1.550,9.11,260,0.890,bicubic
resnet33ts.ra2_in1k,94.100,5.900,98.650,1.350,19.68,288,1.000,bicubic
efficientvit_b1.r256_in1k,94.090,5.910,98.360,1.640,9.10,256,1.000,bicubic
xcit_tiny_24_p16_224.fb_in1k,94.080,5.920,98.540,1.460,12.12,224,1.000,bicubic
resnet152.gluon_in1k,94.070,5.930,98.460,1.540,60.19,224,0.875,bicubic
dpn131.mx_in1k,94.050,5.950,98.710,1.290,79.25,224,0.875,bicubic
resnet101.a3_in1k,94.040,5.960,98.660,1.340,44.55,224,0.950,bicubic
coat_lite_mini.in1k,94.040,5.960,98.550,1.450,11.01,224,0.900,bicubic
eca_halonext26ts.c1_in1k,94.040,5.960,98.490,1.510,10.76,256,0.940,bicubic
resnet101.a3_in1k,94.030,5.970,98.660,1.340,44.55,224,0.950,bicubic
hrnet_w64.ms_in1k,94.030,5.970,98.590,1.410,128.06,224,0.875,bilinear
resmlp_24_224.fb_in1k,94.030,5.970,98.330,1.670,30.02,224,0.875,bicubic
hrnet_w64.ms_in1k,94.020,5.980,98.590,1.410,128.06,224,0.875,bilinear
halonet26t.a1h_in1k,94.000,6.000,98.500,1.500,12.48,256,0.950,bicubic
dpn68b.ra_in1k,94.000,6.000,98.340,1.660,12.61,288,1.000,bicubic
fbnetv3_b.ra2_in1k,93.970,6.030,98.630,1.370,8.60,256,0.950,bilinear
@ -730,6 +773,7 @@ convnext_femto.d1_in1k,93.930,6.070,98.520,1.480,5.22,288,0.950,bicubic
fbnetv3_d.ra2_in1k,93.920,6.080,98.740,1.260,10.31,256,0.950,bilinear
convnext_femto_ols.d1_in1k,93.920,6.080,98.620,1.380,5.23,288,0.950,bicubic
hrnet_w48.ms_in1k,93.920,6.080,98.610,1.390,77.47,224,0.875,bilinear
fastvit_t12.apple_in1k,93.920,6.080,98.600,1.400,7.55,256,0.900,bicubic
tf_efficientnet_cc_b1_8e.in1k,93.920,6.080,98.260,1.740,39.72,240,0.882,bicubic
regnetx_064.pycls_in1k,93.900,6.100,98.640,1.360,26.21,224,0.875,bicubic
rexnet_130.nav_in1k,93.900,6.100,98.400,1.600,7.56,224,0.875,bicubic
@ -737,22 +781,23 @@ vit_small_patch16_224.augreg_in1k,93.890,6.110,98.440,1.560,22.05,224,0.900,bicu
regnety_040.pycls_in1k,93.880,6.120,98.660,1.340,20.65,224,0.875,bicubic
repvgg_b2g4.rvgg_in1k,93.880,6.120,98.590,1.410,61.76,224,0.875,bilinear
regnetx_080.pycls_in1k,93.880,6.120,98.520,1.480,39.57,224,0.875,bicubic
efficientnet_em.ra2_in1k,93.840,6.160,98.820,1.180,6.90,240,0.882,bicubic
efficientnet_em.ra2_in1k,93.830,6.170,98.820,1.180,6.90,240,0.882,bicubic
resnet32ts.ra2_in1k,93.830,6.170,98.650,1.350,17.96,288,1.000,bicubic
lambda_resnet26t.c1_in1k,93.830,6.170,98.640,1.360,10.96,256,0.940,bicubic
resnext101_32x8d.tv_in1k,93.820,6.180,98.580,1.420,88.79,224,0.875,bilinear
resnext50_32x4d.gluon_in1k,93.810,6.190,98.420,1.580,25.03,224,0.875,bicubic
pvt_v2_b1.in1k,93.800,6.200,98.660,1.340,14.01,224,0.900,bicubic
xception65.tf_in1k,93.790,6.210,98.370,1.630,39.92,299,0.903,bicubic
pit_xs_distilled_224.in1k,93.780,6.220,98.620,1.380,11.00,224,0.900,bicubic
eca_botnext26ts_256.c1_in1k,93.780,6.220,98.500,1.500,10.59,256,0.950,bicubic
pit_xs_distilled_224.in1k,93.770,6.230,98.620,1.380,11.00,224,0.900,bicubic
cspresnet50.ra_in1k,93.750,6.250,98.640,1.360,21.62,256,0.887,bilinear
xception65.tf_in1k,93.780,6.220,98.370,1.630,39.92,299,0.903,bicubic
legacy_seresnext50_32x4d.in1k,93.750,6.250,98.580,1.420,27.56,224,0.875,bilinear
resnet50d.gluon_in1k,93.750,6.250,98.390,1.610,25.58,224,0.875,bicubic
resnet101.gluon_in1k,93.750,6.250,98.380,1.620,44.55,224,0.875,bicubic
cspresnet50.ra_in1k,93.740,6.260,98.640,1.360,21.62,256,0.887,bilinear
wide_resnet101_2.tv_in1k,93.740,6.260,98.540,1.460,126.89,224,0.875,bilinear
mobileone_s4.apple_in1k,93.740,6.260,98.230,1.770,14.95,224,0.900,bilinear
vit_relpos_base_patch32_plus_rpn_256.sw_in1k,93.740,6.260,98.070,1.930,119.42,256,0.900,bicubic
res2net101_26w_4s.in1k,93.720,6.280,98.320,1.680,45.21,224,0.875,bilinear
res2net101_26w_4s.in1k,93.720,6.280,98.310,1.690,45.21,224,0.875,bilinear
lambda_resnet26rpt_256.c1_in1k,93.710,6.290,98.520,1.480,10.99,256,0.940,bicubic
regnety_008_tv.tv2_in1k,93.690,6.310,98.490,1.510,6.43,224,0.965,bicubic
tf_efficientnet_b1.ap_in1k,93.680,6.320,98.360,1.640,7.79,240,0.882,bicubic
@ -762,243 +807,275 @@ vit_tiny_patch16_384.augreg_in21k_ft_in1k,93.650,6.350,98.590,1.410,5.79,384,1.0
resnet34d.ra2_in1k,93.640,6.360,98.540,1.460,21.82,288,0.950,bicubic
resnet50s.gluon_in1k,93.640,6.360,98.460,1.540,25.68,224,0.875,bicubic
vit_base_patch32_384.augreg_in1k,93.640,6.360,98.400,1.600,88.30,384,1.000,bicubic
vit_base_patch16_224.augreg_in1k,93.630,6.370,98.240,1.760,86.57,224,0.900,bicubic
vit_base_patch16_224.augreg_in1k,93.640,6.360,98.240,1.760,86.57,224,0.900,bicubic
tf_efficientnet_b0.ns_jft_in1k,93.620,6.380,98.640,1.360,5.29,224,0.875,bicubic
cait_xxs24_224.fb_dist_in1k,93.610,6.390,98.460,1.540,11.96,224,1.000,bicubic
repvit_m0_9.dist_450e_in1k,93.600,6.400,98.500,1.500,5.49,224,0.950,bicubic
coat_tiny.in1k,93.580,6.420,98.420,1.580,5.50,224,0.900,bicubic
regnetx_040.pycls_in1k,93.560,6.440,98.530,1.470,22.12,224,0.875,bicubic
visformer_tiny.in1k,93.560,6.440,98.490,1.510,10.32,224,0.900,bicubic
seresnext26t_32x4d.bt_in1k,93.560,6.440,98.390,1.610,16.81,288,0.950,bicubic
hrnet_w44.ms_in1k,93.550,6.450,98.700,1.300,67.06,224,0.875,bilinear
hrnet_w18.ms_aug_in1k,93.550,6.450,98.600,1.400,21.30,224,0.950,bilinear
hrnet_w32.ms_in1k,93.530,6.470,98.460,1.540,41.23,224,0.875,bilinear
hrnet_w32.ms_in1k,93.530,6.470,98.450,1.550,41.23,224,0.875,bilinear
xcit_nano_12_p8_384.fb_dist_in1k,93.520,6.480,98.530,1.470,3.05,384,1.000,bicubic
efficientvit_b1.r224_in1k,93.510,6.490,98.320,1.680,9.10,224,0.950,bicubic
botnet26t_256.c1_in1k,93.510,6.490,98.300,1.700,12.49,256,0.950,bicubic
repvgg_b2.rvgg_in1k,93.500,6.500,98.730,1.270,89.02,224,0.875,bilinear
hrnet_w40.ms_in1k,93.500,6.500,98.570,1.430,57.56,224,0.875,bilinear
dla102x.in1k,93.500,6.500,98.500,1.500,26.31,224,0.875,bilinear
repghostnet_200.in1k,93.500,6.500,98.540,1.460,9.80,224,0.875,bicubic
dla102x.in1k,93.490,6.510,98.500,1.500,26.31,224,0.875,bilinear
tf_efficientnet_b1.aa_in1k,93.490,6.510,98.360,1.640,7.79,240,0.882,bicubic
resnet50d.a3_in1k,93.480,6.520,98.450,1.550,25.58,224,0.950,bicubic
inception_v3.gluon_in1k,93.470,6.530,98.570,1.430,23.83,299,0.875,bicubic
resnet50d.a3_in1k,93.470,6.530,98.450,1.550,25.58,224,0.950,bicubic
legacy_xception.tf_in1k,93.460,6.540,98.530,1.470,22.86,299,0.897,bicubic
repvit_m0_9.dist_300e_in1k,93.440,6.560,98.710,1.290,5.49,224,0.950,bicubic
seresnext26d_32x4d.bt_in1k,93.440,6.560,98.330,1.670,16.81,288,0.950,bicubic
xception41.tf_in1k,93.430,6.570,98.430,1.570,26.97,299,0.903,bicubic
mixnet_l.ft_in1k,93.430,6.570,98.220,1.780,7.33,224,0.875,bicubic
xception41.tf_in1k,93.420,6.580,98.430,1.570,26.97,299,0.903,bicubic
regnety_032.pycls_in1k,93.410,6.590,98.640,1.360,19.44,224,0.875,bicubic
xcit_tiny_12_p16_224.fb_dist_in1k,93.410,6.590,98.510,1.490,6.72,224,1.000,bicubic
res2net50_26w_6s.in1k,93.400,6.600,98.280,1.720,37.05,224,0.875,bilinear
res2net50_26w_8s.in1k,93.390,6.610,98.170,1.830,48.40,224,0.875,bilinear
legacy_seresnet152.in1k,93.370,6.630,98.340,1.660,66.82,224,0.875,bilinear
dla169.in1k,93.360,6.640,98.610,1.390,53.39,224,0.875,bilinear
legacy_seresnet152.in1k,93.380,6.620,98.340,1.660,66.82,224,0.875,bilinear
dla169.in1k,93.350,6.650,98.610,1.390,53.39,224,0.875,bilinear
cs3darknet_m.c2ns_in1k,93.350,6.650,98.600,1.400,9.31,288,0.950,bicubic
levit_conv_128.fb_dist_in1k,93.350,6.650,98.370,1.630,9.21,224,0.900,bicubic
cs3darknet_m.c2ns_in1k,93.340,6.660,98.600,1.400,9.31,288,0.950,bicubic
levit_128.fb_dist_in1k,93.340,6.660,98.370,1.630,9.21,224,0.900,bicubic
repvgg_b1.rvgg_in1k,93.330,6.670,98.520,1.480,57.42,224,0.875,bilinear
levit_128.fb_dist_in1k,93.330,6.670,98.370,1.630,9.21,224,0.900,bicubic
resnest26d.gluon_in1k,93.320,6.680,98.620,1.380,17.07,224,0.875,bilinear
resnet152.tv_in1k,93.320,6.680,98.380,1.620,60.19,224,0.875,bilinear
bat_resnext26ts.ch_in1k,93.320,6.680,98.360,1.640,10.73,256,0.900,bicubic
inception_v3.tf_in1k,93.320,6.680,98.040,1.960,23.83,299,0.875,bicubic
tf_mixnet_l.in1k,93.320,6.680,98.030,1.970,7.33,224,0.875,bicubic
legacy_seresnet101.in1k,93.310,6.690,98.520,1.480,49.33,224,0.875,bilinear
SelecSls60b.in1k,93.310,6.690,98.290,1.710,32.77,224,0.875,bicubic
mobilevitv2_100.cvnets_in1k,93.290,6.710,98.280,1.720,4.90,256,0.888,bicubic
selecsls60b.in1k,93.310,6.690,98.290,1.710,32.77,224,0.875,bicubic
mobilevitv2_100.cvnets_in1k,93.300,6.700,98.280,1.720,4.90,256,0.888,bicubic
repvit_m1.dist_in1k,93.290,6.710,98.440,1.560,5.49,224,0.950,bicubic
efficientnet_b1.ft_in1k,93.250,6.750,98.290,1.710,7.79,256,1.000,bicubic
coat_lite_tiny.in1k,93.240,6.760,98.260,1.740,5.72,224,0.900,bicubic
resnet26t.ra2_in1k,93.200,6.800,98.490,1.510,16.01,320,1.000,bicubic
hrnet_w30.ms_in1k,93.200,6.800,98.410,1.590,37.71,224,0.875,bilinear
dla60_res2next.in1k,93.190,6.810,98.400,1.600,17.03,224,0.875,bilinear
mobilevit_s.cvnets_in1k,93.180,6.820,98.440,1.560,5.58,256,0.900,bicubic
dla60_res2net.in1k,93.180,6.820,98.430,1.570,20.85,224,0.875,bilinear
efficientnet_es.ra_in1k,93.160,6.840,98.410,1.590,5.44,224,0.875,bicubic
dla60_res2net.in1k,93.170,6.830,98.430,1.570,20.85,224,0.875,bilinear
efficientnet_es.ra_in1k,93.170,6.830,98.410,1.590,5.44,224,0.875,bicubic
mobilevit_s.cvnets_in1k,93.160,6.840,98.440,1.560,5.58,256,0.900,bicubic
wide_resnet50_2.tv_in1k,93.160,6.840,98.370,1.630,68.88,224,0.875,bilinear
gcresnext26ts.ch_in1k,93.160,6.840,98.320,1.680,10.48,288,1.000,bicubic
ese_vovnet19b_dw.ra_in1k,93.150,6.850,98.250,1.750,6.54,288,0.950,bicubic
regnetx_032.pycls_in1k,93.110,6.890,98.390,1.610,15.30,224,0.875,bicubic
tf_efficientnetv2_b0.in1k,93.110,6.890,98.390,1.610,7.14,224,0.875,bicubic
resnet34.a1_in1k,93.100,6.900,98.330,1.670,21.80,288,1.000,bicubic
pit_xs_224.in1k,93.100,6.900,98.320,1.680,10.62,224,0.900,bicubic
pit_xs_224.in1k,93.100,6.900,98.310,1.690,10.62,224,0.900,bicubic
tf_efficientnet_b1.in1k,93.100,6.900,98.300,1.700,7.79,240,0.882,bicubic
convnext_atto_ols.a2_in1k,93.090,6.910,98.470,1.530,3.70,288,0.950,bicubic
tf_efficientnet_b1.in1k,93.090,6.910,98.300,1.700,7.79,240,0.882,bicubic
dla60x.in1k,93.080,6.920,98.500,1.500,17.35,224,0.875,bilinear
dla102.in1k,93.060,6.940,98.550,1.450,33.27,224,0.875,bilinear
eca_resnext26ts.ch_in1k,93.060,6.940,98.400,1.600,10.30,288,1.000,bicubic
dla102.in1k,93.050,6.950,98.550,1.450,33.27,224,0.875,bilinear
regnety_016.pycls_in1k,93.040,6.960,98.370,1.630,11.20,224,0.875,bicubic
resnet50c.gluon_in1k,93.030,6.970,98.400,1.600,25.58,224,0.875,bicubic
SelecSls60.in1k,93.020,6.980,98.300,1.700,30.67,224,0.875,bicubic
rexnet_100.nav_in1k,93.020,6.980,98.190,1.810,4.80,224,0.875,bicubic
selecsls60.in1k,93.010,6.990,98.300,1.700,30.67,224,0.875,bicubic
repvgg_b1g4.rvgg_in1k,93.000,7.000,98.430,1.570,39.97,224,0.875,bilinear
ghostnetv2_160.in1k,92.990,7.010,98.230,1.770,12.39,224,0.875,bicubic
cs3darknet_focus_m.c2ns_in1k,92.970,7.030,98.390,1.610,9.30,288,0.950,bicubic
hardcorenas_f.miil_green_in1k,92.970,7.030,98.160,1.840,8.20,224,0.875,bilinear
convnextv2_atto.fcmae_ft_in1k,92.970,7.030,98.060,1.940,3.71,288,0.950,bicubic
seresnext26ts.ch_in1k,92.960,7.040,98.410,1.590,10.39,288,1.000,bicubic
poolformerv2_s12.sail_in1k,92.960,7.040,98.360,1.640,11.89,224,1.000,bicubic
legacy_seresnet50.in1k,92.960,7.040,98.180,1.820,28.09,224,0.875,bilinear
tf_efficientnet_em.in1k,92.920,7.080,98.210,1.790,6.90,240,0.882,bicubic
crossvit_9_dagger_240.in1k,92.900,7.100,98.240,1.760,8.78,240,0.875,bicubic
tf_efficientnet_em.in1k,92.940,7.060,98.190,1.810,6.90,240,0.882,bicubic
mobileone_s3.apple_in1k,92.940,7.060,98.180,1.820,10.17,224,0.900,bilinear
inception_v3.tf_adv_in1k,92.900,7.100,98.140,1.860,23.83,299,0.875,bicubic
crossvit_9_dagger_240.in1k,92.890,7.110,98.240,1.760,8.78,240,0.875,bicubic
res2next50.in1k,92.840,7.160,98.180,1.820,24.67,224,0.875,bilinear
tf_efficientnet_cc_b0_8e.in1k,92.840,7.160,98.180,1.820,24.01,224,0.875,bicubic
gmixer_24_224.ra3_in1k,92.830,7.170,97.880,2.120,24.72,224,0.875,bicubic
mobileone_s2.apple_in1k,92.820,7.180,98.270,1.730,7.88,224,0.900,bilinear
resmlp_12_224.fb_distilled_in1k,92.820,7.180,98.140,1.860,15.35,224,0.875,bicubic
resnet101.tv_in1k,92.810,7.190,98.250,1.750,44.55,224,0.875,bilinear
dpn68b.mx_in1k,92.790,7.210,98.150,1.850,12.61,224,0.875,bicubic
convnext_atto.d2_in1k,92.790,7.210,98.080,1.920,3.70,288,0.950,bicubic
efficientnet_b1_pruned.in1k,92.780,7.220,98.040,1.960,6.33,240,0.882,bicubic
res2net50_14w_8s.in1k,92.770,7.230,98.170,1.830,25.06,224,0.875,bilinear
hrnet_w18_small_v2.gluon_in1k,92.770,7.230,98.410,1.590,15.60,224,0.875,bicubic
res2net50_14w_8s.in1k,92.770,7.230,98.160,1.840,25.06,224,0.875,bilinear
resnext50_32x4d.tv_in1k,92.750,7.250,98.270,1.730,25.03,224,0.875,bilinear
inception_v3.tv_in1k,92.750,7.250,97.970,2.030,23.83,299,0.875,bicubic
densenet201.tv_in1k,92.740,7.260,98.230,1.770,20.01,224,0.875,bicubic
inception_v3.tv_in1k,92.730,7.270,97.970,2.030,23.83,299,0.875,bicubic
resnet50.a3_in1k,92.720,7.280,98.170,1.830,25.56,224,0.950,bicubic
resnet34.a2_in1k,92.720,7.280,98.010,1.990,21.80,288,1.000,bicubic
efficientnet_b0.ra_in1k,92.690,7.310,98.070,1.930,5.29,224,0.875,bicubic
tf_efficientnet_lite2.in1k,92.660,7.340,98.230,1.770,6.09,260,0.890,bicubic
tf_efficientnet_lite2.in1k,92.650,7.350,98.230,1.770,6.09,260,0.890,bicubic
legacy_seresnext26_32x4d.in1k,92.640,7.360,98.120,1.880,16.79,224,0.875,bicubic
tf_efficientnet_lite1.in1k,92.630,7.370,98.060,1.940,5.42,240,0.882,bicubic
densenetblur121d.ra_in1k,92.620,7.380,98.260,1.740,8.00,288,0.950,bicubic
tf_efficientnet_lite1.in1k,92.620,7.380,98.060,1.940,5.42,240,0.882,bicubic
poolformer_s12.sail_in1k,92.610,7.390,98.180,1.820,11.92,224,0.900,bicubic
tf_efficientnet_cc_b0_4e.in1k,92.590,7.410,98.080,1.920,13.31,224,0.875,bicubic
hardcorenas_e.miil_green_in1k,92.580,7.420,98.100,1.900,8.07,224,0.875,bilinear
tf_efficientnet_cc_b0_4e.in1k,92.600,7.400,98.080,1.920,13.31,224,0.875,bicubic
hardcorenas_e.miil_green_in1k,92.570,7.430,98.100,1.900,8.07,224,0.875,bilinear
regnetx_008.tv2_in1k,92.550,7.450,98.180,1.820,7.26,224,0.965,bicubic
res2net50_48w_2s.in1k,92.550,7.450,98.080,1.920,25.29,224,0.875,bilinear
resnet50.gluon_in1k,92.540,7.460,98.170,1.830,25.56,224,0.875,bicubic
fastvit_t8.apple_dist_in1k,92.540,7.460,98.040,1.960,4.03,256,0.900,bicubic
densenet121.ra_in1k,92.520,7.480,98.220,1.780,7.98,288,0.950,bicubic
resnet26d.bt_in1k,92.520,7.480,98.210,1.790,16.01,288,0.950,bicubic
xcit_tiny_12_p16_224.fb_in1k,92.510,7.490,98.240,1.760,6.72,224,1.000,bicubic
res2net50_26w_4s.in1k,92.490,7.510,98.030,1.970,25.70,224,0.875,bilinear
densenet161.tv_in1k,92.480,7.520,98.300,1.700,28.68,224,0.875,bicubic
efficientvit_m5.r224_in1k,92.460,7.540,97.990,2.010,12.47,224,0.875,bicubic
tinynet_a.in1k,92.440,7.560,98.080,1.920,6.19,192,0.875,bicubic
hardcorenas_d.miil_green_in1k,92.410,7.590,98.070,1.930,7.50,224,0.875,bilinear
resnet34.bt_in1k,92.410,7.590,98.150,1.850,21.80,288,0.950,bicubic
mixnet_m.ft_in1k,92.410,7.590,97.870,2.130,5.01,224,0.875,bicubic
convmixer_1024_20_ks9_p14.in1k,92.400,7.600,98.270,1.730,24.38,224,0.960,bicubic
resnet34.bt_in1k,92.400,7.600,98.150,1.850,21.80,288,0.950,bicubic
hardcorenas_d.miil_green_in1k,92.400,7.600,98.080,1.920,7.50,224,0.875,bilinear
mobilenetv2_120d.ra_in1k,92.400,7.600,98.060,1.940,5.83,224,0.875,bicubic
skresnet34.ra_in1k,92.380,7.620,98.150,1.850,22.28,224,0.875,bicubic
hrnet_w18.ms_in1k,92.320,7.680,98.270,1.730,21.30,224,0.875,bilinear
repghostnet_150.in1k,92.370,7.630,98.050,1.950,6.58,224,0.875,bicubic
hrnet_w18.ms_in1k,92.320,7.680,98.260,1.740,21.30,224,0.875,bilinear
ghostnetv2_130.in1k,92.320,7.680,98.070,1.930,8.96,224,0.875,bicubic
tf_mixnet_m.in1k,92.300,7.700,97.890,2.110,5.01,224,0.875,bicubic
SelecSls42b.in1k,92.290,7.710,98.110,1.890,32.46,224,0.875,bicubic
mobilenetv3_large_100.miil_in21k_ft_in1k,92.260,7.740,97.630,2.370,5.48,224,0.875,bilinear
tf_efficientnet_b0.aa_in1k,92.250,7.750,98.000,2.000,5.29,224,0.875,bicubic
selecsls42b.in1k,92.290,7.710,98.110,1.890,32.46,224,0.875,bicubic
mobilenetv3_large_100.miil_in21k_ft_in1k,92.260,7.740,97.620,2.380,5.48,224,0.875,bilinear
tf_efficientnet_b0.aa_in1k,92.240,7.760,98.000,2.000,5.29,224,0.875,bicubic
resmlp_12_224.fb_in1k,92.220,7.780,98.150,1.850,15.35,224,0.875,bicubic
dla60.in1k,92.200,7.800,98.110,1.890,22.04,224,0.875,bilinear
dla60.in1k,92.200,7.800,98.100,1.900,22.04,224,0.875,bilinear
tf_efficientnet_b0.ap_in1k,92.200,7.800,98.020,1.980,5.29,224,0.875,bicubic
regnetx_016.pycls_in1k,92.180,7.820,98.200,1.800,9.19,224,0.875,bicubic
gernet_s.idstcv_in1k,92.130,7.870,98.190,1.810,8.17,224,0.875,bilinear
resnext26ts.ra2_in1k,92.130,7.870,98.030,1.970,10.30,288,1.000,bicubic
xcit_nano_12_p8_224.fb_dist_in1k,92.090,7.910,98.160,1.840,3.05,224,1.000,bicubic
xcit_nano_12_p8_224.fb_dist_in1k,92.080,7.920,98.160,1.840,3.05,224,1.000,bicubic
tf_efficientnet_b0.in1k,92.080,7.920,97.910,2.090,5.29,224,0.875,bicubic
seresnet50.a3_in1k,92.070,7.930,98.040,1.960,28.09,224,0.950,bicubic
tf_efficientnet_b0.in1k,92.070,7.930,97.920,2.080,5.29,224,0.875,bicubic
fastvit_t8.apple_in1k,92.060,7.940,97.930,2.070,4.03,256,0.900,bicubic
vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,92.040,7.960,98.290,1.710,6.36,384,1.000,bicubic
vit_small_patch32_224.augreg_in21k_ft_in1k,92.040,7.960,98.230,1.770,22.88,224,0.900,bicubic
hardcorenas_c.miil_green_in1k,92.020,7.980,97.840,2.160,5.52,224,0.875,bilinear
resnet26.bt_in1k,91.990,8.010,98.220,1.780,16.00,288,0.950,bicubic
dpn68.mx_in1k,91.990,8.010,98.020,1.980,12.61,224,0.875,bicubic
efficientformerv2_s0.snap_dist_in1k,91.970,8.030,97.890,2.110,3.60,224,0.950,bicubic
tf_efficientnet_es.in1k,91.970,8.030,97.880,2.120,5.44,224,0.875,bicubic
levit_128s.fb_dist_in1k,91.960,8.040,98.060,1.940,7.78,224,0.900,bicubic
levit_conv_128s.fb_dist_in1k,91.960,8.040,98.060,1.940,7.78,224,0.900,bicubic
efficientformerv2_s0.snap_dist_in1k,91.960,8.040,97.890,2.110,3.60,224,0.950,bicubic
repvgg_a2.rvgg_in1k,91.940,8.060,98.140,1.860,28.21,224,0.875,bilinear
densenet169.tv_in1k,91.940,8.060,98.100,1.900,14.15,224,0.875,bicubic
repghostnet_130.in1k,91.890,8.110,97.930,2.070,5.48,224,0.875,bicubic
resnet50.tv_in1k,91.880,8.120,98.040,1.960,25.56,224,0.875,bilinear
mixer_b16_224.goog_in21k_ft_in1k,91.880,8.120,97.260,2.740,59.88,224,0.875,bicubic
resnet50.tv_in1k,91.870,8.130,98.040,1.960,25.56,224,0.875,bilinear
mobilenetv2_140.ra_in1k,91.840,8.160,97.860,2.140,6.11,224,0.875,bicubic
xcit_nano_12_p16_384.fb_dist_in1k,91.830,8.170,98.020,1.980,3.05,384,1.000,bicubic
mixnet_s.ft_in1k,91.830,8.170,97.690,2.310,4.13,224,0.875,bicubic
vit_tiny_patch16_224.augreg_in21k_ft_in1k,91.760,8.240,98.040,1.960,5.72,224,0.900,bicubic
mixnet_s.ft_in1k,91.820,8.180,97.700,2.300,4.13,224,0.875,bicubic
vit_tiny_patch16_224.augreg_in21k_ft_in1k,91.770,8.230,98.040,1.960,5.72,224,0.900,bicubic
mobilevitv2_075.cvnets_in1k,91.760,8.240,97.860,2.140,2.87,256,0.888,bicubic
hardcorenas_b.miil_green_in1k,91.760,8.240,97.770,2.230,5.18,224,0.875,bilinear
hardcorenas_b.miil_green_in1k,91.760,8.240,97.780,2.220,5.18,224,0.875,bilinear
regnety_008.pycls_in1k,91.730,8.270,98.180,1.820,6.26,224,0.875,bicubic
resnest14d.gluon_in1k,91.720,8.280,97.870,2.130,10.61,224,0.875,bilinear
edgenext_x_small.in1k,91.710,8.290,97.600,2.400,2.34,288,1.000,bicubic
regnety_004.tv2_in1k,91.580,8.420,97.890,2.110,4.34,224,0.965,bicubic
tf_mixnet_s.in1k,91.520,8.480,97.620,2.380,4.13,224,0.875,bicubic
repvgg_b0.rvgg_in1k,91.400,8.600,98.000,2.000,15.82,224,0.875,bilinear
repvgg_b0.rvgg_in1k,91.390,8.610,98.000,2.000,15.82,224,0.875,bilinear
regnety_006.pycls_in1k,91.390,8.610,97.700,2.300,6.06,224,0.875,bicubic
hardcorenas_a.miil_green_in1k,91.350,8.650,97.850,2.150,5.26,224,0.875,bilinear
mobilenetv3_large_100.ra_in1k,91.350,8.650,97.710,2.290,5.48,224,0.875,bicubic
semnasnet_100.rmsp_in1k,91.310,8.690,97.560,2.440,3.89,224,0.875,bicubic
tf_mobilenetv3_large_100.in1k,91.240,8.760,97.660,2.340,5.48,224,0.875,bilinear
mobileone_s1.apple_in1k,91.280,8.720,97.820,2.180,4.83,224,0.900,bilinear
tf_mobilenetv3_large_100.in1k,91.230,8.770,97.660,2.340,5.48,224,0.875,bilinear
mobilenetv3_rw.rmsp_in1k,91.210,8.790,97.660,2.340,5.48,224,0.875,bicubic
hrnet_w18_small_v2.ms_in1k,91.200,8.800,97.900,2.100,15.60,224,0.875,bilinear
vit_base_patch32_224.augreg_in1k,91.190,8.810,97.390,2.610,88.22,224,0.900,bicubic
efficientnet_es_pruned.in1k,91.170,8.830,97.740,2.260,5.44,224,0.875,bicubic
efficientnet_lite0.ra_in1k,91.120,8.880,97.630,2.370,4.65,224,0.875,bicubic
efficientnet_lite0.ra_in1k,91.120,8.880,97.640,2.360,4.65,224,0.875,bicubic
regnetx_008.pycls_in1k,91.050,8.950,97.720,2.280,7.26,224,0.875,bicubic
tf_efficientnet_lite0.in1k,91.050,8.950,97.580,2.420,4.65,224,0.875,bicubic
xcit_nano_12_p8_224.fb_in1k,91.010,8.990,97.780,2.220,3.05,224,1.000,bicubic
resnet34.gluon_in1k,90.970,9.030,97.630,2.370,21.80,224,0.875,bicubic
mobilenetv2_110d.ra_in1k,90.970,9.030,97.540,2.460,4.52,224,0.875,bicubic
xcit_nano_12_p8_224.fb_in1k,91.010,8.990,97.770,2.230,3.05,224,1.000,bicubic
resnet34.gluon_in1k,90.980,9.020,97.630,2.370,21.80,224,0.875,bicubic
mobilenetv2_110d.ra_in1k,90.960,9.040,97.540,2.460,4.52,224,0.875,bicubic
tinynet_b.in1k,90.920,9.080,97.660,2.340,3.73,188,0.875,bicubic
ghostnetv2_100.in1k,90.900,9.100,97.700,2.300,6.16,224,0.875,bicubic
legacy_seresnet34.in1k,90.900,9.100,97.580,2.420,21.96,224,0.875,bilinear
densenet121.tv_in1k,90.890,9.110,97.710,2.290,7.98,224,0.875,bicubic
mobilevit_xs.cvnets_in1k,90.800,9.200,97.930,2.070,2.32,256,0.900,bicubic
mobilevit_xs.cvnets_in1k,90.820,9.180,97.930,2.070,2.32,256,0.900,bicubic
pit_ti_distilled_224.in1k,90.770,9.230,97.610,2.390,5.10,224,0.900,bicubic
dla34.in1k,90.760,9.240,97.650,2.350,15.74,224,0.875,bilinear
fbnetc_100.rmsp_in1k,90.730,9.270,97.210,2.790,5.57,224,0.875,bilinear
deit_tiny_distilled_patch16_224.fb_in1k,90.710,9.290,97.560,2.440,5.91,224,0.900,bicubic
repghostnet_111.in1k,90.710,9.290,97.470,2.530,4.54,224,0.875,bicubic
resnet18.fb_swsl_ig1b_ft_in1k,90.700,9.300,97.700,2.300,11.69,224,0.875,bilinear
convit_tiny.fb_in1k,90.660,9.340,97.730,2.270,5.71,224,0.875,bicubic
crossvit_9_240.in1k,90.640,9.360,97.730,2.270,8.55,240,0.875,bicubic
regnetx_004_tv.tv2_in1k,90.640,9.360,97.590,2.410,5.50,224,0.965,bicubic
regnetx_004_tv.tv2_in1k,90.640,9.360,97.600,2.400,5.50,224,0.965,bicubic
crossvit_9_240.in1k,90.630,9.370,97.730,2.270,8.55,240,0.875,bicubic
repvgg_a1.rvgg_in1k,90.600,9.400,97.650,2.350,14.09,224,0.875,bilinear
efficientvit_m4.r224_in1k,90.580,9.420,97.530,2.470,8.80,224,0.875,bicubic
mnasnet_100.rmsp_in1k,90.500,9.500,97.470,2.530,4.38,224,0.875,bicubic
regnety_004.pycls_in1k,90.490,9.510,97.530,2.470,4.34,224,0.875,bicubic
regnetx_006.pycls_in1k,90.350,9.650,97.430,2.570,6.20,224,0.875,bicubic
spnasnet_100.rmsp_in1k,90.330,9.670,97.190,2.810,4.42,224,0.875,bilinear
repghostnet_100.in1k,90.290,9.710,97.480,2.520,4.07,224,0.875,bicubic
resnet18d.ra2_in1k,90.280,9.720,97.560,2.440,11.71,288,0.950,bicubic
crossvit_tiny_240.in1k,90.230,9.770,97.590,2.410,7.01,240,0.875,bicubic
resnet18.fb_ssl_yfcc100m_ft_in1k,90.210,9.790,97.540,2.460,11.69,224,0.875,bilinear
semnasnet_075.rmsp_in1k,90.090,9.910,97.440,2.560,2.91,224,0.875,bicubic
resnet18.fb_ssl_yfcc100m_ft_in1k,90.210,9.790,97.550,2.450,11.69,224,0.875,bilinear
ghostnet_100.in1k,90.180,9.820,97.290,2.710,5.18,224,0.875,bicubic
vgg16_bn.tv_in1k,90.090,9.910,97.370,2.630,138.37,224,0.875,bilinear
vgg19_bn.tv_in1k,90.080,9.920,97.580,2.420,143.68,224,0.875,bilinear
ghostnet_100.in1k,90.030,9.970,97.370,2.630,5.18,224,0.875,bilinear
semnasnet_075.rmsp_in1k,90.070,9.930,97.440,2.560,2.91,224,0.875,bicubic
resnet34.tv_in1k,89.950,10.050,97.340,2.660,21.80,224,0.875,bilinear
pit_ti_224.in1k,89.940,10.060,97.450,2.550,4.85,224,0.900,bicubic
resnet34.a3_in1k,89.940,10.060,97.180,2.820,21.80,224,0.950,bicubic
efficientvit_m3.r224_in1k,89.860,10.140,97.540,2.460,6.90,224,0.875,bicubic
vit_base_patch32_224.sam_in1k,89.740,10.260,97.000,3.000,88.22,224,0.900,bicubic
xcit_nano_12_p16_224.fb_dist_in1k,89.710,10.290,97.100,2.900,3.05,224,1.000,bicubic
xcit_nano_12_p16_224.fb_dist_in1k,89.700,10.300,97.100,2.900,3.05,224,1.000,bicubic
resnet18.a1_in1k,89.680,10.320,97.100,2.900,11.69,288,1.000,bicubic
deit_tiny_patch16_224.fb_in1k,89.660,10.340,97.450,2.550,5.72,224,0.900,bicubic
skresnet18.ra_in1k,89.660,10.340,97.230,2.770,11.96,224,0.875,bicubic
tf_mobilenetv3_large_075.in1k,89.660,10.340,97.190,2.810,3.99,224,0.875,bilinear
deit_tiny_patch16_224.fb_in1k,89.650,10.350,97.460,2.540,5.72,224,0.900,bicubic
mobilenetv2_100.ra_in1k,89.580,10.420,97.140,2.860,3.50,224,0.875,bicubic
tf_mobilenetv3_large_075.in1k,89.640,10.360,97.190,2.810,3.99,224,0.875,bilinear
mobilenetv2_100.ra_in1k,89.600,10.400,97.150,2.850,3.50,224,0.875,bicubic
resnet18.a2_in1k,89.570,10.430,96.960,3.040,11.69,288,1.000,bicubic
hrnet_w18_small.gluon_in1k,89.470,10.530,97.060,2.940,13.19,224,0.875,bicubic
repvgg_a0.rvgg_in1k,89.280,10.720,96.890,3.110,9.11,224,0.875,bilinear
vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,89.180,10.820,97.220,2.780,6.34,224,0.900,bicubic
hrnet_w18_small.ms_in1k,89.050,10.950,97.120,2.880,13.19,224,0.875,bilinear
vgg19.tv_in1k,89.050,10.950,96.870,3.130,143.67,224,0.875,bilinear
resnet14t.c3_in1k,89.000,11.000,96.730,3.270,10.08,224,0.950,bicubic
resnet14t.c3_in1k,88.990,11.010,96.730,3.270,10.08,224,0.950,bicubic
tf_mobilenetv3_large_minimal_100.in1k,88.950,11.050,96.860,3.140,3.92,224,0.875,bilinear
regnetx_004.pycls_in1k,88.890,11.110,97.110,2.890,5.16,224,0.875,bicubic
regnetx_004.pycls_in1k,88.930,11.070,97.120,2.880,5.16,224,0.875,bicubic
legacy_seresnet18.in1k,88.890,11.110,96.980,3.020,11.78,224,0.875,bicubic
edgenext_xx_small.in1k,88.890,11.110,96.700,3.300,1.33,288,1.000,bicubic
repghostnet_080.in1k,88.840,11.160,96.700,3.300,3.28,224,0.875,bicubic
pvt_v2_b0.in1k,88.780,11.220,96.860,3.140,3.67,224,0.900,bicubic
vgg13_bn.tv_in1k,88.750,11.250,96.980,3.020,133.05,224,0.875,bilinear
lcnet_100.ra2_in1k,88.750,11.250,96.720,3.280,2.95,224,0.875,bicubic
xcit_nano_12_p16_224.fb_in1k,88.620,11.380,96.790,3.210,3.05,224,1.000,bicubic
vgg16.tv_in1k,88.560,11.440,96.800,3.200,138.36,224,0.875,bilinear
efficientvit_m2.r224_in1k,88.470,11.530,96.900,3.100,4.19,224,0.875,bicubic
resnet18.gluon_in1k,88.370,11.630,96.670,3.330,11.69,224,0.875,bicubic
mobilevitv2_050.cvnets_in1k,88.190,11.810,96.990,3.010,1.37,256,0.888,bicubic
tinynet_c.in1k,87.790,12.210,96.370,3.630,2.46,184,0.875,bicubic
mobileone_s0.apple_in1k,88.230,11.770,96.400,3.600,5.29,224,0.875,bilinear
mobilevitv2_050.cvnets_in1k,88.180,11.820,96.990,3.010,1.37,256,0.888,bicubic
efficientvit_b0.r224_in1k,87.940,12.060,96.130,3.870,3.41,224,0.950,bicubic
tinynet_c.in1k,87.780,12.220,96.370,3.630,2.46,184,0.875,bicubic
vgg11_bn.tv_in1k,87.500,12.500,96.820,3.180,132.87,224,0.875,bilinear
resnet18.tv_in1k,87.380,12.620,96.290,3.710,11.69,224,0.875,bilinear
regnety_002.pycls_in1k,87.370,12.630,96.610,3.390,3.16,224,0.875,bicubic
mobilevit_xxs.cvnets_in1k,87.150,12.850,96.100,3.900,1.27,256,0.900,bicubic
mobilevit_xxs.cvnets_in1k,87.160,12.840,96.100,3.900,1.27,256,0.900,bicubic
mixer_l16_224.goog_in21k_ft_in1k,87.150,12.850,93.520,6.480,208.20,224,0.875,bicubic
vgg13.tv_in1k,87.040,12.960,96.330,3.670,133.05,224,0.875,bilinear
efficientvit_m1.r224_in1k,86.790,13.210,96.030,3.970,2.98,224,0.875,bicubic
vgg11.tv_in1k,86.580,13.420,96.280,3.720,132.86,224,0.875,bilinear
repghostnet_058.in1k,86.540,13.460,95.900,4.100,2.55,224,0.875,bicubic
resnet18.a3_in1k,86.450,13.550,95.880,4.120,11.69,224,0.950,bicubic
dla60x_c.in1k,86.280,13.720,96.160,3.840,1.32,224,0.875,bilinear
dla60x_c.in1k,86.290,13.710,96.160,3.840,1.32,224,0.875,bilinear
resnet10t.c3_in1k,86.220,13.780,95.740,4.260,5.44,224,0.950,bicubic
regnetx_002.pycls_in1k,86.140,13.860,95.960,4.040,2.68,224,0.875,bicubic
regnetx_002.pycls_in1k,86.140,13.860,95.970,4.030,2.68,224,0.875,bicubic
lcnet_075.ra2_in1k,85.970,14.030,95.680,4.320,2.36,224,0.875,bicubic
mobilenetv3_small_100.lamb_in1k,85.220,14.780,95.650,4.350,2.54,224,0.875,bicubic
tf_mobilenetv3_small_100.in1k,85.190,14.810,95.770,4.230,2.54,224,0.875,bilinear
repghostnet_050.in1k,85.060,14.940,95.200,4.800,2.31,224,0.875,bicubic
tinynet_d.in1k,84.720,15.280,95.170,4.830,2.34,152,0.875,bicubic
mnasnet_small.lamb_in1k,84.420,15.580,95.190,4.810,2.03,224,0.875,bicubic
dla46x_c.in1k,84.200,15.800,95.270,4.730,1.07,224,0.875,bilinear
mobilenetv2_050.lamb_in1k,83.900,16.100,94.730,5.270,1.97,224,0.875,bicubic
dla46x_c.in1k,84.230,15.770,95.270,4.730,1.07,224,0.875,bilinear
mobilenetv2_050.lamb_in1k,83.910,16.090,94.720,5.280,1.97,224,0.875,bicubic
dla46_c.in1k,83.610,16.390,94.950,5.050,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075.in1k,83.500,16.500,94.840,5.160,2.04,224,0.875,bilinear
mobilenetv3_small_075.lamb_in1k,83.030,16.970,94.100,5.900,2.04,224,0.875,bicubic
lcnet_050.ra2_in1k,81.780,18.220,93.740,6.260,1.88,224,0.875,bicubic
efficientvit_m0.r224_in1k,82.350,17.650,94.430,5.570,2.35,224,0.875,bicubic
lcnet_050.ra2_in1k,81.800,18.200,93.710,6.290,1.88,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100.in1k,81.400,18.600,93.680,6.320,2.04,224,0.875,bilinear
tinynet_e.in1k,78.920,21.080,92.540,7.460,2.04,106,0.875,bicubic
mobilenetv3_small_050.lamb_in1k,77.020,22.980,91.300,8.700,1.59,224,0.875,bicubic

1 model top1 top1_err top5 top5_err param_count img_size crop_pct interpolation
5 eva_giant_patch14_560.m30m_ft_in22k_in1k 98.830 1.170 99.900 0.100 1,014.45 560 1.000 bicubic
6 eva_giant_patch14_336.clip_ft_in1k 98.820 1.180 99.810 0.190 1,013.01 336 1.000 bicubic
7 eva_giant_patch14_336.m30m_ft_in22k_in1k 98.810 1.190 99.900 0.100 1,013.01 336 1.000 bicubic
8 eva_large_patch14_336.in22k_ft_in22k_in1k 98.740 1.260 99.810 99.800 0.190 0.200 304.53 336 1.000 bicubic
9 eva_large_patch14_336.in22k_ft_in1k 98.730 1.270 99.870 0.130 304.53 336 1.000 bicubic
10 eva02_large_patch14_448.mim_m38m_ft_in1k 98.730 1.270 99.790 0.210 305.08 448 1.000 bicubic
11 convnextv2_huge.fcmae_ft_in22k_in1k_384 98.670 1.330 99.860 0.140 660.29 384 1.000 bicubic
26 deit3_large_patch16_384.fb_in22k_ft_in1k 98.460 1.540 99.760 0.240 304.76 384 1.000 bicubic
27 eva_giant_patch14_224.clip_ft_in1k 98.460 1.540 99.750 0.250 1,012.56 224 0.900 bicubic
28 regnety_1280.swag_ft_in1k 98.450 1.550 99.870 0.130 644.81 384 1.000 bicubic
caformer_b36.sail_in22k_ft_in1k_384 98.450 1.550 99.810 0.190 98.75 384 1.000 bicubic
29 eva02_base_patch14_448.mim_in22k_ft_in1k 98.440 1.560 99.820 0.180 87.12 448 1.000 bicubic
30 caformer_b36.sail_in22k_ft_in1k_384 98.440 1.560 99.800 0.200 98.75 384 1.000 bicubic
31 convnext_xxlarge.clip_laion2b_soup_ft_in1k 98.440 1.560 99.800 0.200 846.47 256 1.000 bicubic
eva_large_patch14_196.in22k_ft_in22k_in1k 98.430 1.570 99.770 0.230 304.14 196 1.000 bicubic
32 convnext_xlarge.fb_in22k_ft_in1k_384 98.420 1.580 99.810 0.190 350.20 384 1.000 bicubic
33 vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k 98.420 1.580 99.810 0.190 632.46 336 1.000 bicubic
34 eva_large_patch14_196.in22k_ft_in22k_in1k 98.420 1.580 99.770 0.230 304.14 196 1.000 bicubic
35 convnextv2_large.fcmae_ft_in22k_in1k_384 98.400 1.600 99.760 0.240 197.96 384 1.000 bicubic
36 eva_large_patch14_196.in22k_ft_in1k 98.360 1.640 99.820 0.180 304.14 196 1.000 bicubic
37 convnextv2_base.fcmae_ft_in22k_in1k_384 98.350 1.650 99.770 0.230 88.72 384 1.000 bicubic
38 vit_large_patch14_clip_336.laion2b_ft_in12k_in1k 98.340 1.660 99.760 0.240 304.53 336 1.000 bicubic
39 vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k 98.300 1.700 99.760 0.240 632.05 224 1.000 bicubic
40 convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320 98.280 1.720 99.770 0.230 200.13 320 1.000 bicubic
vit_large_patch14_clip_336.openai_ft_in12k_in1k 98.270 1.730 99.770 0.230 304.53 336 1.000 bicubic
41 convformer_b36.sail_in22k_ft_in1k_384 98.260 1.740 99.830 0.170 99.88 384 1.000 bicubic
42 maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k 98.260 1.740 99.780 0.220 116.09 384 1.000 bicubic
43 vit_large_patch14_clip_336.openai_ft_in12k_in1k 98.260 1.740 99.770 0.230 304.53 336 1.000 bicubic
44 convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384 98.250 1.750 99.760 0.240 200.13 384 1.000 bicubic
45 convnext_large.fb_in22k_ft_in1k_384 98.240 1.760 99.750 0.250 197.77 384 1.000 bicubic
46 vit_large_patch16_384.augreg_in21k_ft_in1k 98.220 1.780 99.800 0.200 304.72 384 1.000 bicubic
47 vit_large_patch14_clip_224.openai_ft_in12k_in1k 98.220 1.780 99.720 0.280 304.20 224 1.000 bicubic
48 vit_large_patch14_clip_336.laion2b_ft_in1k 98.220 1.780 99.720 0.280 304.53 336 1.000 bicubic
49 seresnextaa201d_32x8d.sw_in12k_ft_in1k_384 98.210 1.790 99.780 0.220 149.39 384 1.000 bicubic
50 vit_base_patch16_clip_384.openai_ft_in12k_in1k 98.190 1.810 99.660 0.340 86.86 384 0.950 bicubic
51 beit_large_patch16_224.in22k_ft_in22k_in1k 98.180 1.820 99.760 0.240 304.43 224 0.900 bicubic
52 deit3_large_patch16_224.fb_in22k_ft_in1k 98.170 1.830 99.760 0.240 304.37 224 1.000 bicubic
53 maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k 98.170 1.830 99.760 0.240 116.14 384 1.000 bicubic
54 deit3_huge_patch14_224.fb_in22k_ft_in1k 98.170 1.830 99.730 0.270 632.13 224 1.000 bicubic
vit_large_patch14_clip_224.openai_ft_in1k 98.170 1.830 99.660 0.340 304.20 224 1.000 bicubic
55 caformer_b36.sail_in22k_ft_in1k 98.160 1.840 99.780 0.220 98.75 224 1.000 bicubic
56 vit_large_patch14_clip_224.openai_ft_in1k 98.160 1.840 99.660 0.340 304.20 224 1.000 bicubic
57 caformer_m36.sail_in22k_ft_in1k_384 98.150 1.850 99.750 0.250 56.20 384 1.000 bicubic
58 swinv2_large_window12to24_192to384.ms_in22k_ft_in1k 98.130 1.870 99.710 0.290 196.74 384 1.000 bicubic
59 swinv2_base_window12to24_192to384.ms_in22k_ft_in1k 98.120 1.880 99.780 0.220 87.92 384 1.000 bicubic
60 convnext_large.fb_in22k_ft_in1k 98.120 1.880 99.740 0.260 197.77 288 1.000 bicubic
61 convnext_xlarge.fb_in22k_ft_in1k 98.110 1.890 99.780 0.220 350.20 288 1.000 bicubic
62 convnextv2_large.fcmae_ft_in22k_in1k 98.090 1.910 99.770 0.230 197.96 288 1.000 bicubic
63 vit_large_patch14_clip_224.laion2b_ft_in12k_in1k 98.080 1.920 99.760 0.240 304.20 224 1.000 bicubic
64 convnext_base.fb_in22k_ft_in1k_384 98.080 1.920 99.650 0.350 88.59 384 1.000 bicubic
vit_large_patch14_clip_224.laion2b_ft_in12k_in1k 98.070 1.930 99.760 0.240 304.20 224 1.000 bicubic
65 coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k 98.070 1.930 99.720 0.280 73.88 384 1.000 bicubic
66 regnety_320.swag_ft_in1k 98.060 1.940 99.860 0.140 145.05 384 1.000 bicubic
67 convnextv2_base.fcmae_ft_in22k_in1k 98.060 1.940 99.760 0.240 88.72 288 1.000 bicubic
81 convnextv2_huge.fcmae_ft_in1k 97.900 2.100 99.670 0.330 660.29 288 1.000 bicubic
82 tf_efficientnetv2_xl.in21k_ft_in1k 97.900 2.100 99.570 0.430 208.12 512 1.000 bicubic
83 vit_large_patch14_clip_224.laion2b_ft_in1k 97.890 2.110 99.650 0.350 304.20 224 1.000 bicubic
84 tiny_vit_21m_512.dist_in22k_ft_in1k 97.870 2.130 99.630 0.370 21.27 512 1.000 bicubic
85 convnext_base.fb_in22k_ft_in1k 97.860 2.140 99.680 0.320 88.59 288 1.000 bicubic
86 vit_large_r50_s32_384.augreg_in21k_ft_in1k 97.860 2.140 99.670 0.330 329.09 384 1.000 bicubic
87 swinv2_large_window12to16_192to256.ms_in22k_ft_in1k 97.850 2.150 99.650 0.350 196.74 256 0.900 bicubic
117 tf_efficientnet_b6.ns_jft_in1k 97.620 2.380 99.580 0.420 43.04 528 0.942 bicubic
118 convnext_base.clip_laiona_augreg_ft_in1k_384 97.620 2.380 99.550 0.450 88.59 384 1.000 bicubic
119 convnext_small.fb_in22k_ft_in1k_384 97.610 2.390 99.600 0.400 50.22 384 1.000 bicubic
120 tiny_vit_21m_384.dist_in22k_ft_in1k 97.610 2.390 99.590 0.410 21.23 384 1.000 bicubic
121 convnext_base.clip_laion2b_augreg_ft_in12k_in1k 97.600 2.400 99.720 0.280 88.59 256 1.000 bicubic
122 convformer_m36.sail_in22k_ft_in1k 97.600 2.400 99.620 0.380 57.05 224 1.000 bicubic
123 caformer_s36.sail_in22k_ft_in1k 97.600 2.400 99.610 0.390 39.30 224 1.000 bicubic
170 xcit_medium_24_p16_384.fb_dist_in1k 97.280 2.720 99.470 0.530 84.40 384 1.000 bicubic
171 convformer_s36.sail_in1k_384 97.280 2.720 99.430 0.570 40.01 384 1.000 bicubic
172 convformer_s18.sail_in22k_ft_in1k_384 97.270 2.730 99.550 0.450 26.77 384 1.000 bicubic
173 inception_next_base.sail_in1k_384 97.260 2.740 99.490 0.510 86.67 384 1.000 bicubic
174 flexivit_large.300ep_in1k 97.250 2.750 99.490 0.510 304.36 240 0.950 bicubic
175 xcit_small_24_p8_384.fb_dist_in1k 97.240 2.760 99.610 0.390 47.63 384 1.000 bicubic
176 convnext_base.clip_laion2b_augreg_ft_in1k 97.240 2.760 99.550 0.450 88.59 256 1.000 bicubic
180 regnety_2560.seer_ft_in1k 97.220 2.780 99.520 0.480 1,282.60 384 1.000 bicubic
181 resnext101_32x8d.fb_swsl_ig1b_ft_in1k 97.210 2.790 99.570 0.430 88.79 224 0.875 bilinear
182 tf_efficientnetv2_m.in1k 97.210 2.790 99.530 0.470 54.14 480 1.000 bicubic
183 tf_efficientnet_b7.ap_in1k 97.200 2.800 99.540 0.460 66.35 600 0.949 bicubic
184 regnetz_e8.ra3_in1k 97.200 2.800 99.500 0.500 57.70 320 1.000 bicubic
185 tf_efficientnet_b8.ra_in1k 97.200 2.800 99.500 0.500 87.41 672 0.954 bicubic
186 tiny_vit_21m_224.dist_in22k_ft_in1k 97.200 2.800 99.490 0.510 21.20 224 0.950 bicubic
187 vit_base_r50_s16_384.orig_in21k_ft_in1k 97.190 2.810 99.560 0.440 98.95 384 1.000 bicubic
tf_efficientnet_b7.ap_in1k 97.190 2.810 99.540 0.460 66.35 600 0.949 bicubic
188 beitv2_base_patch16_224.in1k_ft_in1k 97.170 2.830 99.470 0.530 86.53 224 0.900 bicubic
189 regnety_320.swag_lc_in1k 97.160 2.840 99.670 0.330 145.05 224 0.965 bicubic
190 vit_base_patch16_224.augreg2_in21k_ft_in1k 97.150 2.850 99.540 0.460 86.57 224 0.900 bicubic
191 coat_lite_medium_384.in1k 97.150 2.850 99.450 0.550 44.57 384 1.000 bicubic
192 eva02_small_patch14_336.mim_in22k_ft_in1k 97.140 2.860 99.470 0.530 22.13 336 1.000 bicubic
193 deit3_small_patch16_384.fb_in22k_ft_in1k 97.130 2.870 99.500 99.510 0.500 0.490 22.21 384 1.000 bicubic
194 vit_base_patch16_clip_224.laion2b_ft_in1k 97.130 2.870 99.460 0.540 86.57 224 1.000 bicubic
195 xcit_small_24_p16_384.fb_dist_in1k 97.120 2.880 99.450 0.550 47.67 384 1.000 bicubic
196 tf_efficientnet_b8.ap_in1k 97.110 2.890 99.660 0.340 87.41 672 0.954 bicubic
197 dm_nfnet_f2.dm_in1k 97.110 2.890 99.510 0.490 193.78 352 0.920 bicubic
198 vit_base_patch32_clip_384.openai_ft_in12k_in1k 97.110 2.890 99.500 0.500 88.30 384 0.950 bicubic
dm_nfnet_f2.dm_in1k 97.100 2.900 99.510 0.490 193.78 352 0.920 bicubic
199 convnext_large.fb_in1k 97.100 2.900 99.450 0.550 197.77 288 1.000 bicubic
200 volo_d3_224.sail_in1k ecaresnet269d.ra2_in1k 97.090 2.910 99.460 99.470 0.540 0.530 86.33 102.09 224 352 0.960 1.000 bicubic
201 volo_d3_224.sail_in1k 97.090 2.910 99.470 0.530 86.33 224 0.960 bicubic
202 beit_base_patch16_224.in22k_ft_in22k_in1k 97.080 2.920 99.610 0.390 86.53 224 0.900 bicubic
203 tf_efficientnet_b6.ap_in1k 97.080 2.920 99.610 0.390 43.04 528 0.942 bicubic
204 convformer_s36.sail_in22k_ft_in1k 97.080 2.920 99.560 0.440 40.01 224 1.000 bicubic
205 convnext_tiny.fb_in22k_ft_in1k_384 97.080 2.920 99.510 0.490 28.59 384 1.000 bicubic
206 eca_nfnet_l2.ra3_in1k 97.080 2.920 99.510 0.490 56.72 384 1.000 bicubic
207 vit_base_patch16_clip_224.openai_ft_in1k 97.080 2.920 99.490 0.510 86.57 224 0.900 bicubic
ecaresnet269d.ra2_in1k 97.080 2.920 99.470 0.530 102.09 352 1.000 bicubic
208 caformer_s18.sail_in1k_384 97.080 2.920 99.420 0.580 26.34 384 1.000 bicubic
209 cait_s24_384.fb_dist_in1k 97.070 2.930 99.430 0.570 47.06 384 1.000 bicubic
210 xcit_large_24_p8_224.fb_dist_in1k 97.070 2.930 99.420 0.580 188.93 224 1.000 bicubic
211 convnext_tiny.in12k_ft_in1k 97.060 2.940 99.550 0.450 28.59 288 1.000 bicubic
212 deit3_base_patch16_384.fb_in1k 97.040 2.960 99.390 0.610 86.88 384 1.000 bicubic
213 convformer_s18.sail_in1k_384 97.040 2.960 99.380 0.620 26.77 384 1.000 bicubic
214 hrnet_w48_ssld.paddle_in1k 97.030 2.970 99.640 0.360 77.47 288 1.000 bilinear
deit3_base_patch16_384.fb_in1k 97.030 2.970 99.390 0.610 86.88 384 1.000 bicubic
215 dm_nfnet_f1.dm_in1k 97.030 2.970 99.390 0.610 132.63 320 0.910 bicubic
tf_efficientnet_b7.ra_in1k 97.010 2.990 99.520 0.480 66.35 600 0.949 bicubic
216 resnetv2_152x2_bit.goog_in21k_ft_in1k 97.000 3.000 99.590 0.410 236.34 448 1.000 bilinear
217 tf_efficientnet_b7.ra_in1k 97.000 3.000 99.520 0.480 66.35 600 0.949 bicubic
218 volo_d2_224.sail_in1k 97.000 3.000 99.390 0.610 58.68 224 0.960 bicubic
caformer_b36.sail_in1k 96.990 3.010 99.340 0.660 98.75 224 1.000 bicubic
219 efficientnetv2_rw_m.agc_in1k 96.980 3.020 99.530 0.470 53.24 416 1.000 bicubic
220 resnetv2_101x3_bit.goog_in21k_ft_in1k 96.980 3.020 99.490 0.510 387.93 448 1.000 bilinear
221 caformer_b36.sail_in1k 96.980 3.020 99.340 0.660 98.75 224 1.000 bicubic
222 deit3_medium_patch16_224.fb_in22k_ft_in1k 96.970 3.030 99.430 0.570 38.85 224 1.000 bicubic
223 deit_base_distilled_patch16_384.fb_in1k 96.960 3.040 99.480 0.520 87.63 384 1.000 bicubic
224 seresnextaa101d_32x8d.ah_in1k 96.960 3.040 99.390 0.610 93.59 288 1.000 bicubic
234 resnetrs420.tf_in1k 96.910 3.090 99.460 0.540 191.89 416 1.000 bicubic
235 deit3_huge_patch14_224.fb_in1k 96.900 3.100 99.480 0.520 632.13 224 0.900 bicubic
236 convformer_b36.sail_in1k 96.900 3.100 99.220 0.780 99.88 224 1.000 bicubic
vit_base_patch16_224.augreg_in21k_ft_in1k 96.890 3.110 99.530 0.470 86.57 224 0.900 bicubic
237 caformer_m36.sail_in1k 96.890 3.110 99.430 0.570 56.20 224 1.000 bicubic
238 vit_base_patch16_224.augreg_in21k_ft_in1k 96.880 3.120 99.530 0.470 86.57 224 0.900 bicubic
239 xcit_small_24_p8_224.fb_dist_in1k 96.870 3.130 99.480 0.520 47.63 224 1.000 bicubic
240 regnety_1280.seer_ft_in1k 96.860 3.140 99.390 0.610 644.81 384 1.000 bicubic
241 convnextv2_tiny.fcmae_ft_in22k_in1k 96.850 3.150 99.460 0.540 28.64 288 1.000 bicubic
248 maxxvit_rmlp_small_rw_256.sw_in1k 96.800 3.200 99.380 0.620 66.01 256 0.950 bicubic
249 xcit_large_24_p16_224.fb_dist_in1k 96.800 3.200 99.350 0.650 189.10 224 1.000 bicubic
250 vit_large_r50_s32_224.augreg_in21k_ft_in1k 96.790 3.210 99.340 0.660 328.99 224 0.900 bicubic
251 fastvit_ma36.apple_dist_in1k 96.780 3.220 99.330 0.670 44.07 256 0.950 bicubic
252 seresnet152d.ra2_in1k 96.770 3.230 99.440 0.560 66.84 320 1.000 bicubic
253 seresnext101_32x8d.ah_in1k 96.770 3.230 99.350 0.650 93.57 288 1.000 bicubic
254 mvitv2_base.fb_in1k 96.760 3.240 99.260 0.740 51.47 224 0.900 bicubic
261 vit_base_patch16_384.orig_in21k_ft_in1k 96.720 3.280 99.500 0.500 86.86 384 1.000 bicubic
262 regnetz_040.ra3_in1k 96.720 3.280 99.480 0.520 27.12 320 1.000 bicubic
263 resnetv2_50x3_bit.goog_in21k_ft_in1k 96.710 3.290 99.550 0.450 217.32 448 1.000 bilinear
264 caformer_s18.sail_in22k_ft_in1k 96.710 3.290 99.480 99.490 0.520 0.510 26.34 224 1.000 bicubic
265 regnetz_040_h.ra3_in1k 96.700 3.300 99.500 0.500 28.94 320 1.000 bicubic
266 vit_small_patch16_384.augreg_in21k_ft_in1k 96.700 3.300 99.480 0.520 22.20 384 1.000 bicubic
267 edgenext_base.usi_in1k 96.700 3.300 99.430 0.570 18.51 320 1.000 bicubic
270 resnetaa101d.sw_in12k_ft_in1k 96.700 3.300 99.360 0.640 44.57 288 1.000 bicubic
271 seresnext101d_32x8d.ah_in1k 96.700 3.300 99.360 0.640 93.59 288 1.000 bicubic
272 eca_nfnet_l1.ra2_in1k 96.700 3.300 99.290 0.710 41.41 320 1.000 bicubic
273 repvgg_d2se.rvgg_in1k 96.690 3.310 99.370 0.630 133.33 320 1.000 bilinear
274 caformer_s36.sail_in1k 96.690 3.310 99.360 0.640 39.30 224 1.000 bicubic
275 maxvit_small_tf_224.in1k 96.690 3.310 99.360 0.640 68.93 224 0.950 bicubic
276 resnetrs270.tf_in1k 96.690 3.310 99.350 0.650 129.86 352 1.000 bicubic
281 tf_efficientnet_b6.aa_in1k 96.670 3.330 99.370 0.630 43.04 528 0.942 bicubic
282 deit3_small_patch16_224.fb_in22k_ft_in1k 96.660 3.340 99.330 0.670 22.06 224 1.000 bicubic
283 flexivit_base.600ep_in1k 96.650 3.350 99.330 0.670 86.59 240 0.950 bicubic
coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k 96.640 3.360 99.160 0.840 41.72 224 0.950 bicubic
284 davit_small.msft_in1k 96.630 3.370 99.350 0.650 49.75 224 0.950 bicubic
285 convformer_s18.sail_in22k_ft_in1k 96.630 3.370 99.340 0.660 26.77 224 1.000 bicubic
286 efficientvit_b3.r288_in1k 96.630 3.370 99.220 0.780 48.65 288 1.000 bicubic
287 coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k 96.630 3.370 99.160 0.840 41.72 224 0.950 bicubic
288 resmlp_big_24_224.fb_in22k_ft_in1k 96.620 3.380 99.510 0.490 129.14 224 0.875 bicubic
289 regnetz_d8.ra3_in1k 96.620 3.380 99.450 0.550 23.37 320 1.000 bicubic
flexivit_base.300ep_in1k 96.620 3.380 99.270 0.730 86.59 240 0.950 bicubic
290 resnest200e.in1k 96.610 3.390 99.350 0.650 70.20 320 0.909 bicubic
291 resnext101_32x16d.fb_swsl_ig1b_ft_in1k 96.600 3.400 99.530 0.470 194.03 224 0.875 bilinear
292 flexivit_base.300ep_in1k 96.600 3.400 99.270 0.730 86.59 240 0.950 bicubic
293 xcit_medium_24_p16_224.fb_dist_in1k 96.600 3.400 99.270 0.730 84.40 224 1.000 bicubic
294 regnetz_d32.ra3_in1k 96.590 3.410 99.380 0.620 27.58 320 0.950 bicubic
295 swin_base_patch4_window12_384.ms_in1k 96.580 3.420 99.250 0.750 87.90 384 1.000 bicubic
297 convformer_s36.sail_in1k 96.580 3.420 99.170 0.830 40.01 224 1.000 bicubic
298 maxvit_rmlp_small_rw_224.sw_in1k 96.580 3.420 99.120 0.880 64.90 224 0.900 bicubic
299 regnetz_d8_evos.ch_in1k 96.570 3.430 99.460 0.540 23.46 320 1.000 bicubic
300 gcvit_base.in1k 96.570 96.560 3.430 3.440 99.230 0.770 90.32 224 0.875 bicubic
301 focalnet_base_srf.ms_in1k 96.560 3.440 99.140 99.150 0.860 0.850 88.15 224 0.900 bicubic
302 inception_next_base.sail_in1k 96.560 3.440 99.080 0.920 86.67 224 0.950 bicubic
303 cait_xs24_384.fb_dist_in1k 96.540 3.460 99.420 0.580 26.67 384 1.000 bicubic
304 efficientnetv2_rw_s.ra2_in1k 96.540 3.460 99.360 0.640 23.94 384 1.000 bicubic
305 tf_efficientnet_b7.aa_in1k 96.540 3.460 99.300 0.700 66.35 600 0.949 bicubic
306 crossvit_18_dagger_408.in1k 96.540 3.460 99.260 0.740 44.61 408 1.000 bicubic
307 coatnet_rmlp_2_rw_224.sw_in1k 96.540 3.460 99.100 0.900 73.88 224 0.950 bicubic
308 regnety_080.ra3_in1k 96.530 3.470 99.320 0.680 39.18 288 1.000 bicubic
309 xcit_tiny_24_p8_384.fb_dist_in1k 96.530 3.470 99.320 0.680 12.11 384 1.000 bicubic
310 swinv2_base_window8_256.ms_in1k 96.530 3.470 99.270 0.730 87.92 256 0.900 bicubic
311 convnext_small.fb_in1k 96.520 3.480 99.340 0.660 50.22 288 1.000 bicubic
regnety_080.ra3_in1k 96.520 3.480 99.320 0.680 39.18 288 1.000 bicubic
312 resnest269e.in1k 96.510 3.490 99.350 0.650 110.93 416 0.928 bicubic
313 vit_base_patch32_384.augreg_in21k_ft_in1k 96.490 3.510 99.410 0.590 88.30 384 1.000 bicubic
314 swin_small_patch4_window7_224.ms_in22k_ft_in1k 96.480 3.520 99.390 0.610 49.61 224 0.900 bicubic
315 fastvit_ma36.apple_in1k 96.470 3.530 99.280 0.720 44.07 256 0.950 bicubic
316 tf_efficientnet_b5.aa_in1k 96.470 3.530 99.240 0.760 30.39 456 0.934 bicubic
317 swinv2_small_window16_256.ms_in1k 96.470 3.530 99.200 0.800 49.73 256 0.900 bicubic
318 coat_lite_medium.in1k 96.470 3.530 99.150 0.850 44.57 224 0.900 bicubic
332 convnextv2_nano.fcmae_ft_in22k_in1k_384 96.370 3.630 99.400 0.600 15.62 384 1.000 bicubic
333 mvitv2_small.fb_in1k 96.370 3.630 99.200 0.800 34.87 224 0.900 bicubic
334 xception65.ra3_in1k 96.360 3.640 99.240 0.760 39.92 299 0.940 bicubic
335 fastvit_sa36.apple_dist_in1k 96.360 3.640 99.230 0.770 31.53 256 0.900 bicubic
336 regnety_064.ra3_in1k 96.360 3.640 99.230 0.770 30.58 288 1.000 bicubic
337 pvt_v2_b5.in1k 96.360 3.640 99.170 0.830 81.96 224 0.900 bicubic
338 regnety_160.deit_in1k 96.350 3.650 99.330 0.670 83.59 288 1.000 bicubic
339 pvt_v2_b4.in1k 96.350 3.650 99.180 0.820 62.56 224 0.900 bicubic
340 regnety_320.seer_ft_in1k 96.340 3.660 99.350 0.650 145.05 384 1.000 bicubic
341 tf_efficientnet_b5.ra_in1k 96.340 3.660 99.310 0.690 30.39 456 0.934 bicubic
342 tf_efficientnetv2_s.in1k 96.340 3.660 99.200 0.800 21.46 384 1.000 bicubic
343 resnext101_32x8d.fb_wsl_ig1b_ft_in1k 96.330 3.670 99.430 0.570 88.79 224 0.875 bilinear
344 regnety_320.seer_ft_in1k repvit_m2_3.dist_450e_in1k 96.330 3.670 99.350 99.400 0.650 0.600 145.05 23.69 384 224 1.000 0.950 bicubic
tf_efficientnet_b5.ra_in1k 96.330 3.670 99.310 0.690 30.39 456 0.934 bicubic
345 volo_d1_224.sail_in1k 96.320 3.680 99.310 0.690 26.63 224 0.960 bicubic
346 dm_nfnet_f0.dm_in1k 96.310 3.690 99.320 0.680 71.49 256 0.900 bicubic
347 deit3_base_patch16_224.fb_in1k 96.300 3.700 99.180 0.820 86.59 224 0.900 bicubic
348 resnet101d.ra2_in1k 96.290 3.710 99.230 0.770 44.57 320 1.000 bicubic
349 tiny_vit_11m_224.dist_in22k_ft_in1k 96.290 3.710 99.190 0.810 11.00 224 0.950 bicubic
350 efficientvit_b3.r256_in1k 96.290 3.710 99.120 0.880 48.65 256 1.000 bicubic
351 gcvit_small.in1k 96.280 3.720 99.140 0.860 51.09 224 0.875 bicubic
352 swinv2_small_window8_256.ms_in1k 96.270 3.730 99.210 0.790 49.73 256 0.900 bicubic
353 twins_svt_large.in1k inception_next_small.sail_in1k 96.250 96.240 3.750 3.760 99.170 99.220 0.830 0.780 99.27 49.37 224 0.900 0.875 bicubic
354 nest_base_jx.goog_in1k 96.240 3.760 99.200 0.800 67.72 224 0.875 bicubic
355 fastvit_sa36.apple_in1k 96.240 3.760 99.190 0.810 31.53 256 0.900 bicubic
356 twins_svt_large.in1k 96.240 3.760 99.170 0.830 99.27 224 0.900 bicubic
357 swin_s3_base_224.ms_in1k 96.240 3.760 99.150 0.850 71.13 224 0.900 bicubic
358 maxvit_tiny_rw_224.sw_in1k 96.240 3.760 99.130 0.870 29.06 224 0.950 bicubic
359 pit_b_distilled_224.in1k 96.230 3.770 99.110 0.890 74.79 224 0.900 bicubic
360 swin_s3_small_224.ms_in1k 96.230 3.770 99.080 0.920 49.74 224 0.900 bicubic
361 ecaresnet101d.miil_in1k 96.220 3.780 99.310 0.690 44.57 288 0.950 bicubic
rexnetr_200.sw_in12k_ft_in1k 96.220 3.780 99.260 0.740 16.52 288 1.000 bicubic
362 tf_efficientnetv2_b3.in21k_ft_in1k 96.220 3.780 99.230 0.770 14.36 300 0.900 bicubic
363 xcit_small_24_p16_224.fb_dist_in1k 96.220 3.780 99.210 0.790 47.67 224 1.000 bicubic
364 xception65p.ra3_in1k 96.210 3.790 99.180 0.820 39.82 299 0.940 bicubic
365 deit3_small_patch16_384.fb_in1k 96.200 3.800 99.300 99.290 0.700 0.710 22.21 384 1.000 bicubic
366 rexnetr_200.sw_in12k_ft_in1k 96.200 3.800 99.260 0.740 16.52 288 1.000 bicubic
367 resnet152.a1h_in1k 96.200 3.800 99.220 0.780 60.19 288 1.000 bicubic
368 regnetv_040.ra3_in1k 96.190 3.810 99.330 0.670 20.64 288 1.000 bicubic
369 convnextv2_tiny.fcmae_ft_in1k 96.190 3.810 99.250 0.750 28.64 288 1.000 bicubic
375 tresnet_v2_l.miil_in21k_ft_in1k 96.160 3.840 99.240 0.760 46.17 224 0.875 bilinear
376 deit_base_patch16_384.fb_in1k 96.160 3.840 99.140 0.860 86.86 384 1.000 bicubic
377 twins_svt_base.in1k 96.160 3.840 99.050 0.950 56.07 224 0.900 bicubic
378 fastvit_sa24.apple_dist_in1k 96.150 3.850 99.210 0.790 21.55 256 0.900 bicubic
379 efficientnet_b4.ra2_in1k 96.150 3.850 99.190 0.810 19.34 384 1.000 bicubic
380 sequencer2d_l.in1k 96.150 3.850 99.160 0.840 54.30 224 0.875 bicubic
381 regnetz_c16_evos.ch_in1k 96.140 3.860 99.360 0.640 13.49 320 0.950 bicubic
382 twins_pcpvt_large.in1k 96.140 3.860 99.170 0.830 60.99 224 0.900 bicubic
383 caformer_s18.sail_in1k 96.140 3.860 99.000 1.000 26.34 224 1.000 bicubic
resnetv2_50x1_bit.goog_distilled_in1k 96.130 3.870 99.280 0.720 25.55 224 0.875 bicubic
384 vit_base_patch32_clip_224.laion2b_ft_in12k_in1k 96.130 3.870 99.220 0.780 88.22 224 0.900 bicubic
385 tiny_vit_21m_224.in1k 96.130 3.870 99.160 0.840 21.20 224 0.950 bicubic
386 repvit_m2_3.dist_300e_in1k 96.120 3.880 99.340 0.660 23.69 224 0.950 bicubic
387 resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k 96.120 3.880 99.270 0.730 236.34 224 0.875 bicubic
388 nfnet_l0.ra2_in1k 96.120 3.880 99.240 0.760 35.07 288 1.000 bicubic
389 swin_base_patch4_window7_224.ms_in1k 96.120 3.880 99.060 0.940 87.77 224 0.900 bicubic
390 resnetv2_50x1_bit.goog_distilled_in1k 96.110 3.890 99.280 0.720 25.55 224 0.875 bicubic
391 efficientformer_l7.snap_dist_in1k 96.110 3.890 99.270 0.730 82.23 224 0.950 bicubic
392 xcit_small_12_p8_224.fb_in1k 96.110 3.890 99.160 0.840 26.21 224 1.000 bicubic
393 resnetv2_101x1_bit.goog_in21k_ft_in1k 96.100 3.900 99.280 0.720 44.54 448 1.000 bilinear
396 xcit_medium_24_p8_224.fb_in1k 96.090 3.910 98.890 1.110 84.32 224 1.000 bicubic
397 resnext101_64x4d.c1_in1k 96.080 3.920 99.240 0.760 83.46 288 1.000 bicubic
398 regnety_320.tv2_in1k 96.080 3.920 99.230 0.770 145.05 224 0.965 bicubic
399 deit3_medium_patch16_224.fb_in1k 96.080 3.920 99.200 0.800 38.85 224 0.900 bicubic
400 xcit_tiny_12_p8_384.fb_dist_in1k 96.080 3.920 99.140 0.860 6.71 384 1.000 bicubic
401 swinv2_cr_small_224.sw_in1k 96.080 3.920 98.860 1.140 49.70 224 0.900 bicubic
402 tf_efficientnet_b5.in1k 96.070 3.930 99.290 0.710 30.39 456 0.934 bicubic
deit3_medium_patch16_224.fb_in1k 96.070 3.930 99.200 0.800 38.85 224 0.900 bicubic
403 efficientformerv2_l.snap_dist_in1k 96.070 3.930 99.190 0.810 26.32 224 0.950 bicubic
404 focalnet_small_srf.ms_in1k 96.070 3.930 99.120 0.880 49.89 224 0.900 bicubic
405 convnextv2_nano.fcmae_ft_in22k_in1k 96.060 3.940 99.220 0.780 15.62 288 1.000 bicubic
406 mobilevitv2_200.cvnets_in22k_ft_in1k_384 96.060 3.940 99.080 0.920 18.45 384 1.000 bicubic
407 resnetv2_101.a1h_in1k 96.050 3.950 99.170 0.830 44.54 288 1.000 bicubic
408 cs3edgenet_x.c2_in1k 96.050 3.950 99.140 0.860 47.82 288 1.000 bicubic
409 maxxvit_rmlp_nano_rw_256.sw_in1k 96.040 3.960 99.260 0.740 16.78 256 0.950 bicubic
resnetv2_101.a1h_in1k 96.040 3.960 99.170 0.830 44.54 288 1.000 bicubic
410 resnext101_64x4d.tv_in1k 96.030 3.970 99.160 0.840 83.46 224 0.875 bilinear
411 xcit_small_12_p16_224.fb_dist_in1k 96.030 3.970 99.130 0.870 26.25 224 1.000 bicubic
412 coatnet_1_rw_224.sw_in1k 96.030 3.970 99.060 0.940 41.72 224 0.950 bicubic
413 efficientvit_b3.r224_in1k 96.030 3.970 98.990 1.010 48.65 224 0.950 bicubic
414 regnety_040.ra3_in1k 96.020 3.980 99.190 0.810 20.65 288 1.000 bicubic
415 resnet101.a1h_in1k 96.020 3.980 99.140 0.860 44.55 288 1.000 bicubic
416 cs3sedarknet_x.c2ns_in1k 96.020 3.980 99.110 0.890 35.40 288 1.000 bicubic
424 regnety_160.tv2_in1k 95.970 4.030 99.150 0.850 83.59 224 0.965 bicubic
425 nest_small_jx.goog_in1k 95.970 4.030 99.030 0.970 38.35 224 0.875 bicubic
426 maxvit_rmlp_nano_rw_256.sw_in1k 95.970 4.030 98.970 1.030 15.50 256 0.950 bicubic
427 efficientvit_b2.r288_in1k 95.960 4.040 99.190 0.810 24.33 288 1.000 bicubic
428 regnety_032.ra_in1k 95.960 4.040 99.190 0.810 19.44 288 1.000 bicubic
429 coatnet_rmlp_1_rw_224.sw_in1k 95.960 4.040 99.160 0.840 41.69 224 0.950 bicubic
430 resnext101_32x8d.tv2_in1k 95.950 4.050 99.080 0.920 88.79 224 0.965 bilinear
434 regnetz_c16.ra3_in1k 95.940 4.060 99.110 0.890 13.46 320 1.000 bicubic
435 swinv2_tiny_window16_256.ms_in1k 95.930 4.070 99.150 0.850 28.35 256 0.900 bicubic
436 swin_small_patch4_window7_224.ms_in1k 95.930 4.070 99.020 0.980 49.61 224 0.900 bicubic
437 fastvit_sa24.apple_in1k 95.920 4.080 99.160 0.840 21.55 256 0.900 bicubic
438 maxvit_nano_rw_256.sw_in1k 95.920 4.080 99.010 0.990 15.45 256 0.950 bicubic
439 coat_small.in1k 95.910 4.090 99.150 0.850 21.69 224 0.900 bicubic
440 tf_efficientnet_b4.aa_in1k 95.900 4.100 99.170 0.830 19.34 380 0.922 bicubic
441 repvit_m1_5.dist_450e_in1k 95.900 4.100 99.120 0.880 14.64 224 0.950 bicubic
442 maxxvitv2_nano_rw_256.sw_in1k 95.900 4.100 99.050 0.950 23.70 256 0.950 bicubic
443 regnetx_160.tv2_in1k 95.880 4.120 99.090 0.910 54.28 224 0.965 bicubic
444 resnet51q.ra2_in1k 95.870 4.130 99.120 99.130 0.880 0.870 35.70 288 1.000 bilinear
445 resnext50_32x4d.fb_swsl_ig1b_ft_in1k 95.860 4.140 99.250 0.750 25.03 224 0.875 bilinear
446 resnest101e.in1k 95.860 4.140 99.200 0.800 48.28 256 0.875 bilinear
447 tresnet_l.miil_in1k_448 95.860 4.140 99.120 0.880 55.99 448 0.875 bilinear
458 convnextv2_nano.fcmae_ft_in1k 95.800 4.200 99.090 0.910 15.62 288 1.000 bicubic
459 resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k 95.790 4.210 99.180 0.820 194.03 224 0.875 bilinear
460 convnext_tiny.fb_in1k 95.790 4.210 99.160 0.840 28.59 288 1.000 bicubic
461 twins_pcpvt_base.in1k 95.790 4.210 99.130 0.870 43.83 224 0.900 bicubic
462 resnet61q.ra2_in1k 95.780 4.220 98.990 1.010 36.85 288 1.000 bicubic
twins_pcpvt_base.in1k 95.770 4.230 99.130 0.870 43.83 224 0.900 bicubic
463 tf_efficientnet_b2.ns_jft_in1k 95.770 4.230 99.120 0.880 9.11 260 0.890 bicubic
464 vit_relpos_base_patch16_clsgap_224.sw_in1k 95.770 4.230 99.040 0.960 86.43 224 0.900 bicubic
465 poolformerv2_m48.sail_in1k 95.770 4.230 98.980 1.020 73.35 224 1.000 bicubic
476 flexivit_small.600ep_in1k 95.670 4.330 99.060 0.940 22.06 240 0.950 bicubic
477 xcit_tiny_24_p8_224.fb_in1k 95.660 4.340 99.050 0.950 12.11 224 1.000 bicubic
478 davit_tiny.msft_in1k 95.660 4.340 99.030 0.970 28.36 224 0.950 bicubic
479 vit_small_r26_s32_224.augreg_in21k_ft_in1k efficientvit_b2.r256_in1k 95.640 95.650 4.360 4.350 99.190 99.060 0.810 0.940 36.43 24.33 224 256 0.900 1.000 bicubic
480 repvit_m1_5.dist_300e_in1k 95.640 4.360 98.990 1.010 14.64 224 0.950 bicubic
481 wide_resnet50_2.racm_in1k 95.630 4.370 99.240 0.760 68.88 288 0.950 bicubic
482 vit_small_r26_s32_224.augreg_in21k_ft_in1k 95.630 4.370 99.190 0.810 36.43 224 0.900 bicubic
483 resnetv2_50d_evos.ah_in1k 95.630 4.370 99.110 0.890 25.59 288 1.000 bicubic
484 poolformer_m48.sail_in1k 95.630 4.370 98.940 1.060 73.47 224 0.950 bicubic
485 pit_b_224.in1k 95.620 95.630 4.380 4.370 98.670 98.660 1.330 1.340 73.76 224 0.900 bicubic
efficientnetv2_rw_t.ra2_in1k 95.600 4.400 99.070 0.930 13.65 288 1.000 bicubic
486 efficientformer_l3.snap_dist_in1k 95.590 4.410 99.160 0.840 31.41 224 0.950 bicubic
487 efficientnetv2_rw_t.ra2_in1k 95.590 4.410 99.070 0.930 13.65 288 1.000 bicubic
488 gcvit_xtiny.in1k 95.590 4.410 99.040 0.960 19.98 224 0.875 bicubic
489 crossvit_18_dagger_240.in1k 95.570 4.430 99.060 0.940 44.27 240 0.875 bicubic
490 vit_relpos_base_patch16_224.sw_in1k 95.560 4.440 99.030 0.970 86.43 224 0.900 bicubic
491 pvt_v2_b2_li.in1k 95.560 4.440 98.990 1.010 22.55 224 0.900 bicubic
492 flexivit_small.1200ep_in1k 95.550 4.450 99.120 99.110 0.880 0.890 22.06 240 0.950 bicubic
493 convit_base.fb_in1k 95.550 4.450 98.880 1.120 86.54 224 0.875 bicubic
494 wide_resnet101_2.tv2_in1k 95.540 4.460 99.080 0.920 126.89 224 0.965 bilinear
495 coat_lite_small.in1k 95.540 4.460 98.860 1.140 19.84 224 0.900 bicubic
498 levit_384.fb_dist_in1k 95.530 4.470 99.060 0.940 39.13 224 0.900 bicubic
499 levit_conv_384.fb_dist_in1k 95.530 4.470 99.050 0.950 39.13 224 0.900 bicubic
500 ecaresnet50t.ra2_in1k 95.520 4.480 99.110 0.890 25.57 320 0.950 bicubic
501 fbnetv3_g.ra2_in1k 95.520 4.480 98.990 1.010 16.62 288 0.950 bilinear
502 vit_base_patch32_clip_224.laion2b_ft_in1k 95.520 4.480 98.870 1.130 88.22 224 0.900 bicubic
503 resnet101.a1_in1k 95.520 4.480 98.850 1.150 44.55 288 1.000 bicubic
504 crossvit_base_240.in1k 95.520 4.480 98.810 1.190 105.03 240 0.875 bicubic
505 swin_tiny_patch4_window7_224.ms_in22k_ft_in1k 95.510 4.490 99.200 0.800 28.29 224 0.900 bicubic
506 resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k 95.510 4.490 99.120 0.880 88.79 224 0.875 bilinear
fbnetv3_g.ra2_in1k 95.510 4.490 98.990 1.010 16.62 288 0.950 bilinear
507 xception41p.ra3_in1k 95.510 4.490 98.910 1.090 26.91 299 0.940 bicubic
508 focalnet_tiny_srf.ms_in1k 95.500 4.500 99.130 0.870 28.43 224 0.900 bicubic
509 vit_relpos_medium_patch16_rpn_224.sw_in1k 95.500 4.500 99.080 0.920 38.73 224 0.900 bicubic
flexivit_small.300ep_in1k 95.500 4.500 98.960 1.040 22.06 240 0.950 bicubic
510 resnet152.tv2_in1k 95.500 4.500 98.960 1.040 60.19 224 0.965 bilinear
511 resnet152.a1_in1k 95.500 4.500 98.780 1.220 60.19 288 1.000 bicubic
512 swinv2_tiny_window8_256.ms_in1k 95.490 4.510 99.100 0.900 28.35 256 0.900 bicubic
513 visformer_small.in1k tiny_vit_11m_224.in1k 95.490 4.510 98.900 98.990 1.100 1.010 40.22 11.00 224 0.900 0.950 bicubic
514 flexivit_small.300ep_in1k 95.490 4.510 98.960 1.040 22.06 240 0.950 bicubic
515 resnet152.a2_in1k 95.490 4.510 98.790 1.210 60.19 288 1.000 bicubic
516 pvt_v2_b2.in1k 95.480 4.520 99.000 1.000 25.36 224 0.900 bicubic
517 resnetv2_50d_gn.ah_in1k 95.480 4.520 98.950 1.050 25.57 288 1.000 bicubic
518 visformer_small.in1k 95.480 4.520 98.900 1.100 40.22 224 0.900 bicubic
519 vit_relpos_medium_patch16_cls_224.sw_in1k 95.470 4.530 98.950 1.050 38.76 224 0.900 bicubic
520 inception_next_tiny.sail_in1k 95.460 4.540 99.010 0.990 28.06 224 0.875 bicubic
521 vit_relpos_medium_patch16_224.sw_in1k 95.460 4.540 98.960 1.040 38.75 224 0.900 bicubic
522 focalnet_tiny_lrf.ms_in1k 95.460 4.540 98.910 1.090 28.65 224 0.900 bicubic
523 ecaresnet50d.miil_in1k 95.450 4.550 99.090 0.910 25.58 288 0.950 bicubic
530 resnetrs101.tf_in1k 95.430 4.570 99.040 0.960 63.62 288 0.940 bicubic
531 coatnext_nano_rw_224.sw_in1k 95.430 4.570 99.010 0.990 14.70 224 0.900 bicubic
532 coatnet_rmlp_nano_rw_224.sw_in1k 95.430 4.570 98.990 1.010 15.15 224 0.900 bicubic
533 xcit_small_12_p16_224.fb_in1k 95.430 4.570 98.840 1.160 26.25 224 1.000 bicubic
534 xcit_large_24_p16_224.fb_in1k 95.430 4.570 98.630 1.370 189.10 224 1.000 bicubic
535 halo2botnet50ts_256.a1h_in1k 95.420 4.580 99.020 0.980 22.64 256 0.950 bicubic
xcit_small_12_p16_224.fb_in1k 95.420 4.580 98.840 1.160 26.25 224 1.000 bicubic
536 ecaresnet50t.a1_in1k 95.410 4.590 99.010 0.990 25.57 288 1.000 bicubic
537 resnet101.a2_in1k 95.410 4.590 98.940 1.060 44.55 288 1.000 bicubic
538 resnet50.fb_swsl_ig1b_ft_in1k 95.400 4.600 99.300 0.700 25.56 224 0.875 bilinear
556 vit_small_patch16_384.augreg_in1k 95.290 4.710 99.000 1.000 22.20 384 1.000 bicubic
557 tresnet_l.miil_in1k 95.280 4.720 99.010 0.990 55.99 224 0.875 bilinear
558 cait_xxs24_384.fb_dist_in1k 95.280 4.720 98.960 1.040 12.03 384 1.000 bicubic
559 resnet101.tv2_in1k 95.270 95.280 4.730 4.720 98.910 1.090 44.55 224 0.965 bilinear
560 resnet50_gn.a1h_in1k 95.250 4.750 99.000 1.000 25.56 288 0.950 bicubic
561 vit_srelpos_medium_patch16_224.sw_in1k 95.240 4.760 98.990 1.010 38.74 224 0.900 bicubic
562 nest_tiny_jx.goog_in1k 95.240 4.760 98.980 1.020 17.06 224 0.875 bicubic
566 mobilevitv2_175.cvnets_in22k_ft_in1k 95.220 4.780 98.800 1.200 14.25 256 0.888 bicubic
567 convit_small.fb_in1k 95.210 4.790 98.900 1.100 27.78 224 0.875 bicubic
568 twins_pcpvt_small.in1k 95.210 4.790 98.880 1.120 24.11 224 0.900 bicubic
569 repvit_m3.dist_in1k 95.200 4.800 99.090 0.910 10.68 224 0.950 bicubic
570 resnetaa50.a1h_in1k 95.200 4.800 98.920 1.080 25.56 288 1.000 bicubic
571 efficientvit_b2.r224_in1k 95.200 4.800 98.820 1.180 24.33 224 0.950 bicubic
572 twins_svt_small.in1k 95.190 4.810 98.880 1.120 24.06 224 0.900 bicubic
573 swin_s3_tiny_224.ms_in1k 95.180 4.820 98.950 1.050 28.33 224 0.900 bicubic
tf_efficientnetv2_b3.in1k 95.180 4.820 98.820 1.180 14.36 300 0.904 bicubic
574 regnetz_b16.ra3_in1k 95.170 4.830 99.080 0.920 9.72 288 1.000 bicubic
575 tf_efficientnet_b1.ns_jft_in1k 95.160 4.840 99.100 0.900 7.79 240 0.882 bicubic
cs3darknet_focus_l.c2ns_in1k 95.160 4.840 98.960 1.040 21.15 288 0.950 bicubic
576 mobilevitv2_200.cvnets_in22k_ft_in1k 95.160 4.840 98.950 1.050 18.45 256 0.888 bicubic
577 lamhalobotnet50ts_256.a1h_in1k tf_efficientnetv2_b3.in1k 95.160 4.840 98.880 98.820 1.120 1.180 22.57 14.36 256 300 0.950 0.904 bicubic
578 cs3darknet_focus_l.c2ns_in1k 95.150 4.850 98.960 1.040 21.15 288 0.950 bicubic
579 vit_relpos_small_patch16_224.sw_in1k 95.150 4.850 98.960 1.040 21.98 224 0.900 bicubic
580 crossvit_15_240.in1k 95.150 4.850 98.930 1.070 27.53 240 0.875 bicubic
581 lamhalobotnet50ts_256.a1h_in1k 95.150 4.850 98.880 1.120 22.57 256 0.950 bicubic
582 fastvit_sa12.apple_dist_in1k 95.150 4.850 98.810 1.190 11.58 256 0.900 bicubic
583 pit_s_distilled_224.in1k 95.140 4.860 98.890 1.110 24.04 224 0.900 bicubic
584 mobilevitv2_150.cvnets_in22k_ft_in1k 95.140 4.860 98.860 1.140 10.59 256 0.888 bicubic
585 swin_tiny_patch4_window7_224.ms_in1k 95.140 4.860 98.850 1.150 28.29 224 0.900 bicubic
596 convmixer_1536_20.in1k 95.080 4.920 99.030 0.970 51.63 224 0.960 bicubic
597 poolformer_s36.sail_in1k 95.080 4.920 98.910 1.090 30.86 224 0.900 bicubic
598 legacy_senet154.in1k 95.070 4.930 98.830 1.170 115.09 224 0.875 bilinear
599 tiny_vit_5m_224.dist_in22k_ft_in1k 95.050 4.950 98.970 1.030 5.39 224 0.950 bicubic
600 seresnet33ts.ra2_in1k 95.040 4.960 98.900 1.100 19.78 288 1.000 bicubic
601 tnt_s_patch16_224 95.040 4.960 98.830 1.170 23.76 224 0.900 bicubic
vit_small_patch32_384.augreg_in21k_ft_in1k 95.030 4.970 98.990 1.010 22.92 384 1.000 bicubic
602 vit_srelpos_small_patch16_224.sw_in1k 95.030 4.970 98.950 1.050 21.97 224 0.900 bicubic
603 vit_small_patch32_384.augreg_in21k_ft_in1k 95.020 4.980 98.990 1.010 22.92 384 1.000 bicubic
604 resnet152s.gluon_in1k 95.020 4.980 98.930 1.070 60.32 224 0.875 bicubic
605 levit_256.fb_dist_in1k 95.020 4.980 98.880 1.120 18.89 224 0.900 bicubic
606 levit_conv_256.fb_dist_in1k 95.020 4.980 98.880 1.120 18.89 224 0.900 bicubic
607 resnetv2_50x1_bit.goog_in21k_ft_in1k 95.010 4.990 99.060 0.940 25.55 448 1.000 bilinear
608 vit_base_patch32_224.augreg_in21k_ft_in1k 95.010 4.990 99.030 0.970 88.22 224 0.900 bicubic
609 resnet50d.ra2_in1k 95.010 4.990 98.980 1.020 25.58 288 0.950 bicubic
610 tf_efficientnet_b3.aa_in1k 95.000 95.010 5.000 4.990 98.910 1.090 12.23 300 0.904 bicubic
611 tresnet_m.miil_in1k_448 94.990 5.010 98.980 1.020 31.39 448 0.875 bilinear
612 deit3_small_patch16_224.fb_in1k 94.990 5.010 98.460 1.540 22.06 224 0.900 bicubic
613 resnet50.d_in1k 94.980 5.020 98.840 1.160 25.56 288 1.000 bicubic
620 resnet50.c2_in1k 94.920 5.080 98.810 1.190 25.56 288 1.000 bicubic
621 senet154.gluon_in1k 94.920 5.080 98.760 1.240 115.09 224 0.875 bicubic
622 eva02_tiny_patch14_336.mim_in22k_ft_in1k 94.910 5.090 98.880 1.120 5.76 336 1.000 bicubic
623 repvit_m1_1.dist_450e_in1k 94.900 5.100 98.960 1.040 8.80 224 0.950 bicubic
624 resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k 94.890 5.110 98.870 1.130 25.03 224 0.875 bilinear
625 mobilevitv2_175.cvnets_in1k 94.890 5.110 98.860 1.140 14.25 256 0.888 bicubic
626 resmlp_36_224.fb_distilled_in1k 94.890 5.110 98.860 1.140 44.69 224 0.875 bicubic
627 seresnext101_32x4d.gluon_in1k 94.890 5.110 98.820 1.180 48.96 224 0.875 bicubic
628 tf_efficientnet_lite4.in1k 94.880 5.120 99.020 0.980 13.01 380 0.920 bilinear
629 fastvit_sa12.apple_in1k 94.880 5.120 98.890 1.110 11.58 256 0.900 bicubic
630 wide_resnet50_2.tv2_in1k 94.870 5.130 98.940 1.060 68.88 224 0.965 bilinear
631 ese_vovnet39b.ra_in1k 94.870 5.130 98.910 1.090 24.57 288 0.950 bicubic
resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k 94.860 5.140 98.870 1.130 25.03 224 0.875 bilinear
632 gcresnext50ts.ch_in1k 94.860 5.140 98.860 1.140 15.67 288 1.000 bicubic
633 resnet50.b1k_in1k 94.860 5.140 98.810 1.190 25.56 288 1.000 bicubic
634 crossvit_small_240.in1k 94.850 5.150 99.010 99.020 0.990 0.980 26.86 240 0.875 bicubic
635 resnest50d.in1k 94.850 5.150 98.880 1.120 27.48 224 0.875 bilinear
636 resnetv2_50.a1h_in1k 94.850 5.150 98.870 1.130 25.55 288 1.000 bicubic
637 mobilevitv2_200.cvnets_in1k 94.840 5.160 98.710 1.290 18.45 256 0.888 bicubic
638 convnext_tiny.fb_in22k_ft_in1k 94.840 5.160 98.530 1.470 28.59 288 1.000 bicubic
639 fastvit_s12.apple_dist_in1k 94.830 5.170 98.810 1.190 9.47 256 0.900 bicubic
640 cspresnext50.ra_in1k 94.830 5.170 98.770 1.230 20.57 256 0.887 bilinear
641 resnext50_32x4d.a1_in1k 94.830 5.170 98.590 1.410 25.03 288 1.000 bicubic
642 res2net101d.in1k 94.820 5.180 98.770 1.230 45.23 224 0.875 bilinear
resnext50_32x4d.a1_in1k 94.820 5.180 98.600 1.400 25.03 288 1.000 bicubic
643 resnet50.a1h_in1k 94.770 5.230 98.690 1.310 25.56 224 1.000 bicubic
644 lambda_resnet50ts.a1h_in1k 94.770 5.230 98.470 1.530 21.54 256 0.950 bicubic
645 repvit_m1_1.dist_300e_in1k 94.760 5.240 98.930 1.070 8.80 224 0.950 bicubic
646 convnext_pico.d1_in1k 94.760 5.240 98.710 1.290 9.05 288 0.950 bicubic
647 sehalonet33ts.ra2_in1k 94.760 5.240 98.570 1.430 13.69 256 0.940 bicubic
648 resnet50.a1_in1k 94.740 5.260 98.710 1.290 25.56 288 1.000 bicubic
649 repvit_m2.dist_in1k 94.740 5.260 98.680 1.320 8.80 224 0.950 bicubic
650 resnest50d_1s4x24d.in1k 94.730 5.270 98.980 1.020 25.68 224 0.875 bicubic
651 resnet50.c1_in1k 94.730 5.270 98.930 1.070 25.56 288 1.000 bicubic
652 resnet50.b2k_in1k 94.730 5.270 98.820 1.180 25.56 288 1.000 bicubic
662 edgenext_small_rw.sw_in1k 94.670 5.330 98.780 1.220 7.83 320 1.000 bicubic
663 resnext101_64x4d.gluon_in1k 94.670 5.330 98.660 1.340 83.46 224 0.875 bicubic
664 regnetx_032.tv2_in1k 94.660 5.340 98.850 1.150 15.30 224 0.965 bicubic
665 resnet50.tv2_in1k cspdarknet53.ra_in1k 94.660 5.340 98.790 98.800 1.210 1.200 25.56 27.64 224 256 0.965 0.887 bilinear
666 seresnet50.a2_in1k 94.660 5.340 98.780 1.220 28.09 288 1.000 bicubic
667 seresnet50.a1_in1k 94.660 5.340 98.720 1.280 28.09 288 1.000 bicubic
668 poolformerv2_s24.sail_in1k 94.650 5.350 98.840 1.160 21.34 224 1.000 bicubic
669 cspdarknet53.ra_in1k maxvit_rmlp_pico_rw_256.sw_in1k 94.650 94.640 5.350 5.360 98.800 98.810 1.200 1.190 27.64 7.52 256 0.887 0.950 bilinear bicubic
670 maxvit_rmlp_pico_rw_256.sw_in1k resnet50.tv2_in1k 94.630 94.640 5.370 5.360 98.810 98.800 1.190 1.200 7.52 25.56 256 224 0.950 0.965 bicubic bilinear
671 efficientnet_b3_pruned.in1k 94.630 5.370 98.760 1.240 9.86 300 0.904 bicubic
672 resnet50.a2_in1k 94.630 5.370 98.660 1.340 25.56 288 1.000 bicubic
tresnet_m.miil_in1k 94.630 5.370 98.550 1.450 31.39 224 0.875 bilinear
673 eca_resnet33ts.ra2_in1k 94.620 5.380 98.910 1.090 19.68 288 1.000 bicubic
674 darknet53.c2ns_in1k 94.620 5.380 98.900 1.100 41.61 288 1.000 bicubic
675 gernet_m.idstcv_in1k 94.620 5.380 98.860 1.140 21.14 224 0.875 bilinear
676 resnext50_32x4d.tv2_in1k 94.620 5.380 98.780 1.220 25.03 224 0.965 bilinear
677 convnext_pico_ols.d1_in1k 94.620 5.380 98.760 1.240 9.06 288 1.000 bicubic
678 efficientnet_b2.ra_in1k 94.620 5.380 98.710 1.290 9.11 288 1.000 bicubic
679 tresnet_m.miil_in1k 94.620 5.380 98.550 1.450 31.39 224 0.875 bilinear
680 sebotnet33ts_256.a1h_in1k 94.610 5.390 98.510 1.490 13.70 256 0.940 bicubic
681 fastvit_t12.apple_dist_in1k 94.590 5.410 98.790 1.210 7.55 256 0.900 bicubic
682 inception_resnet_v2.tf_in1k 94.580 5.420 98.790 1.210 55.84 299 0.897 bicubic
683 resnet50d.a2_in1k 94.580 5.420 98.690 1.310 25.58 288 1.000 bicubic
684 resnext50_32x4d.a2_in1k 94.580 5.420 98.650 1.350 25.03 288 1.000 bicubic
692 nf_resnet50.ra2_in1k 94.540 5.460 98.790 1.210 25.56 288 0.940 bicubic
693 xcit_tiny_24_p16_224.fb_dist_in1k 94.540 5.460 98.780 1.220 12.12 224 1.000 bicubic
694 resnext101_32x4d.gluon_in1k 94.540 5.460 98.630 1.370 44.18 224 0.875 bicubic
695 repvit_m1_0.dist_450e_in1k 94.530 5.470 98.880 1.120 7.30 224 0.950 bicubic
696 regnety_016.tv2_in1k 94.520 5.480 98.820 1.180 11.20 224 0.965 bicubic
697 resnet50.ram_in1k 94.520 5.480 98.650 1.350 25.56 288 0.950 bicubic
698 repvgg_b3g4.rvgg_in1k 94.510 5.490 98.970 1.030 83.83 224 0.875 bilinear
699 tf_efficientnet_b2.ap_in1k 94.510 5.490 98.620 1.380 9.11 260 0.890 bicubic
700 convmixer_768_32.in1k 94.500 5.500 98.860 1.140 21.11 224 0.960 bicubic
701 efficientvit_b1.r288_in1k 94.490 5.510 98.520 1.480 9.10 288 1.000 bicubic
702 efficientformer_l1.snap_dist_in1k 94.480 5.520 98.830 1.170 12.29 224 0.950 bicubic
703 rexnet_150.nav_in1k 94.480 5.520 98.800 1.200 9.73 224 0.875 bicubic
704 regnety_120.pycls_in1k 94.470 5.530 98.820 1.180 51.82 224 0.875 bicubic
705 darknetaa53.c2ns_in1k 94.470 5.530 98.760 98.770 1.240 1.230 36.02 288 1.000 bilinear
706 resnetblur50.bt_in1k 94.460 5.540 98.840 1.160 25.56 288 0.950 bicubic
707 resnet50.fb_ssl_yfcc100m_ft_in1k 94.450 5.550 98.920 1.080 25.56 224 0.875 bilinear
708 resmlp_24_224.fb_distilled_in1k 94.450 5.550 98.770 1.230 30.02 224 0.875 bicubic
709 regnetx_320.pycls_in1k 94.450 5.550 98.740 1.260 107.81 224 0.875 bicubic
710 gcvit_xxtiny.in1k 94.420 5.580 98.890 1.110 12.00 224 0.875 bicubic
711 tf_efficientnetv2_b2.in1k 94.420 5.580 98.580 1.420 10.10 260 0.890 bicubic
efficientnet_el_pruned.in1k 94.400 5.600 98.740 1.260 10.59 300 0.904 bicubic
712 tf_efficientnet_el.in1k 94.400 5.600 98.710 1.290 10.59 300 0.904 bicubic
713 efficientnet_el_pruned.in1k 94.390 5.610 98.740 1.260 10.59 300 0.904 bicubic
714 tf_efficientnet_b2.aa_in1k 94.380 5.620 98.610 1.390 9.11 260 0.890 bicubic
715 deit_small_patch16_224.fb_in1k legacy_seresnext101_32x4d.in1k 94.370 5.630 98.700 98.630 1.300 1.370 22.05 48.96 224 0.900 0.875 bicubic bilinear
716 inception_v4.tf_in1k 94.370 5.630 98.580 1.420 42.68 299 0.875 bicubic
717 regnety_160.pycls_in1k 94.360 5.640 98.860 1.140 83.59 224 0.875 bicubic
718 legacy_seresnext101_32x4d.in1k deit_small_patch16_224.fb_in1k 94.360 94.350 5.640 5.650 98.630 98.690 1.370 1.310 48.96 22.05 224 0.875 0.900 bilinear bicubic
719 ecaresnet50t.a3_in1k 94.350 5.650 98.670 1.330 25.57 224 0.950 bicubic
720 dpn107.mx_in1k 94.340 5.660 98.500 1.500 86.92 224 0.875 bicubic
721 seresnext50_32x4d.gluon_in1k 94.330 5.670 98.610 1.390 27.56 224 0.875 bicubic
722 ecaresnet26t.ra2_in1k 94.320 5.680 98.720 1.280 16.01 320 0.950 bicubic
723 resnet50.bt_in1k 94.320 5.680 98.640 1.360 25.56 288 0.950 bicubic
724 resnetrs50.tf_in1k 94.320 5.680 98.640 1.360 35.69 224 0.910 bicubic
725 res2net50d.in1k 94.320 5.680 98.530 1.470 25.72 224 0.875 bilinear
726 resnet50.bt_in1k repvit_m1_0.dist_300e_in1k 94.310 94.300 5.690 5.700 98.640 98.850 1.360 1.150 25.56 7.30 288 224 0.950 bicubic
727 xception71.tf_in1k 94.300 5.700 98.650 1.350 42.34 299 0.903 bicubic
728 dpn92.mx_in1k 94.290 5.710 98.750 1.250 37.67 224 0.875 bicubic
729 cait_xxs36_224.fb_dist_in1k 94.270 5.730 98.710 1.290 17.30 224 1.000 bicubic
730 tiny_vit_5m_224.in1k 94.240 5.760 98.690 1.310 5.39 224 0.950 bicubic
731 skresnext50_32x4d.ra_in1k 94.240 5.760 98.460 1.540 27.48 224 0.875 bicubic
732 regnetx_120.pycls_in1k 94.230 5.770 98.670 1.330 46.11 224 0.875 bicubic
733 resnet101d.gluon_in1k 94.230 5.770 98.540 1.460 44.57 224 0.875 bicubic
736 efficientformerv2_s1.snap_dist_in1k 94.200 5.800 98.630 1.370 6.19 224 0.950 bicubic
737 resmlp_36_224.fb_in1k 94.190 5.810 98.660 1.340 44.69 224 0.875 bicubic
738 convnextv2_femto.fcmae_ft_in1k 94.190 5.810 98.610 1.390 5.23 288 0.950 bicubic
739 mixnet_xl.ra_in1k 94.180 5.820 98.330 98.320 1.670 1.680 11.90 224 0.875 bicubic
740 regnety_080.pycls_in1k 94.170 5.830 98.680 1.320 39.18 224 0.875 bicubic
741 inception_resnet_v2.tf_ens_adv_in1k 94.170 5.830 98.620 98.600 1.380 1.400 55.84 299 0.897 bicubic
742 levit_192.fb_dist_in1k 94.170 5.830 98.540 1.460 10.95 224 0.900 bicubic
743 levit_conv_192.fb_dist_in1k 94.170 5.830 98.540 1.460 10.95 224 0.900 bicubic
744 resnet152c.gluon_in1k 94.160 5.840 98.640 1.360 60.21 224 0.875 bicubic
749 regnety_064.pycls_in1k 94.140 5.860 98.710 1.290 30.58 224 0.875 bicubic
750 efficientnet_b2_pruned.in1k 94.140 5.860 98.520 1.480 8.31 260 0.890 bicubic
751 regnetx_016.tv2_in1k 94.130 5.870 98.750 1.250 9.19 224 0.965 bicubic
752 fastvit_s12.apple_in1k 94.130 5.870 98.620 1.380 9.47 256 0.900 bicubic
753 nf_regnet_b1.ra2_in1k 94.110 5.890 98.620 1.380 10.22 288 0.900 bicubic
754 tf_efficientnet_b2.in1k 94.110 5.890 98.450 1.550 9.11 260 0.890 bicubic
755 resnet33ts.ra2_in1k 94.100 5.900 98.650 1.350 19.68 288 1.000 bicubic
756 efficientvit_b1.r256_in1k 94.090 5.910 98.360 1.640 9.10 256 1.000 bicubic
757 xcit_tiny_24_p16_224.fb_in1k 94.080 5.920 98.540 1.460 12.12 224 1.000 bicubic
758 resnet152.gluon_in1k 94.070 5.930 98.460 1.540 60.19 224 0.875 bicubic
759 dpn131.mx_in1k 94.050 5.950 98.710 1.290 79.25 224 0.875 bicubic
resnet101.a3_in1k 94.040 5.960 98.660 1.340 44.55 224 0.950 bicubic
760 coat_lite_mini.in1k 94.040 5.960 98.550 1.450 11.01 224 0.900 bicubic
761 eca_halonext26ts.c1_in1k 94.040 5.960 98.490 1.510 10.76 256 0.940 bicubic
762 resnet101.a3_in1k 94.030 5.970 98.660 1.340 44.55 224 0.950 bicubic
763 hrnet_w64.ms_in1k 94.030 5.970 98.590 1.410 128.06 224 0.875 bilinear
764 resmlp_24_224.fb_in1k 94.030 5.970 98.330 1.670 30.02 224 0.875 bicubic
hrnet_w64.ms_in1k 94.020 5.980 98.590 1.410 128.06 224 0.875 bilinear
765 halonet26t.a1h_in1k 94.000 6.000 98.500 1.500 12.48 256 0.950 bicubic
766 dpn68b.ra_in1k 94.000 6.000 98.340 1.660 12.61 288 1.000 bicubic
767 fbnetv3_b.ra2_in1k 93.970 6.030 98.630 1.370 8.60 256 0.950 bilinear
773 fbnetv3_d.ra2_in1k 93.920 6.080 98.740 1.260 10.31 256 0.950 bilinear
774 convnext_femto_ols.d1_in1k 93.920 6.080 98.620 1.380 5.23 288 0.950 bicubic
775 hrnet_w48.ms_in1k 93.920 6.080 98.610 1.390 77.47 224 0.875 bilinear
776 fastvit_t12.apple_in1k 93.920 6.080 98.600 1.400 7.55 256 0.900 bicubic
777 tf_efficientnet_cc_b1_8e.in1k 93.920 6.080 98.260 1.740 39.72 240 0.882 bicubic
778 regnetx_064.pycls_in1k 93.900 6.100 98.640 1.360 26.21 224 0.875 bicubic
779 rexnet_130.nav_in1k 93.900 6.100 98.400 1.600 7.56 224 0.875 bicubic
781 regnety_040.pycls_in1k 93.880 6.120 98.660 1.340 20.65 224 0.875 bicubic
782 repvgg_b2g4.rvgg_in1k 93.880 6.120 98.590 1.410 61.76 224 0.875 bilinear
783 regnetx_080.pycls_in1k 93.880 6.120 98.520 1.480 39.57 224 0.875 bicubic
784 efficientnet_em.ra2_in1k 93.840 93.830 6.160 6.170 98.820 1.180 6.90 240 0.882 bicubic
785 resnet32ts.ra2_in1k 93.830 6.170 98.650 1.350 17.96 288 1.000 bicubic
786 lambda_resnet26t.c1_in1k 93.830 6.170 98.640 1.360 10.96 256 0.940 bicubic
787 resnext101_32x8d.tv_in1k 93.820 6.180 98.580 1.420 88.79 224 0.875 bilinear
788 resnext50_32x4d.gluon_in1k 93.810 6.190 98.420 1.580 25.03 224 0.875 bicubic
789 pvt_v2_b1.in1k 93.800 6.200 98.660 1.340 14.01 224 0.900 bicubic
790 xception65.tf_in1k pit_xs_distilled_224.in1k 93.790 93.780 6.210 6.220 98.370 98.620 1.630 1.380 39.92 11.00 299 224 0.903 0.900 bicubic
791 eca_botnext26ts_256.c1_in1k 93.780 6.220 98.500 1.500 10.59 256 0.950 bicubic
792 pit_xs_distilled_224.in1k xception65.tf_in1k 93.770 93.780 6.230 6.220 98.620 98.370 1.380 1.630 11.00 39.92 224 299 0.900 0.903 bicubic
cspresnet50.ra_in1k 93.750 6.250 98.640 1.360 21.62 256 0.887 bilinear
793 legacy_seresnext50_32x4d.in1k 93.750 6.250 98.580 1.420 27.56 224 0.875 bilinear
794 resnet50d.gluon_in1k 93.750 6.250 98.390 1.610 25.58 224 0.875 bicubic
795 resnet101.gluon_in1k 93.750 6.250 98.380 1.620 44.55 224 0.875 bicubic
796 cspresnet50.ra_in1k 93.740 6.260 98.640 1.360 21.62 256 0.887 bilinear
797 wide_resnet101_2.tv_in1k 93.740 6.260 98.540 1.460 126.89 224 0.875 bilinear
798 mobileone_s4.apple_in1k 93.740 6.260 98.230 1.770 14.95 224 0.900 bilinear
799 vit_relpos_base_patch32_plus_rpn_256.sw_in1k 93.740 6.260 98.070 1.930 119.42 256 0.900 bicubic
800 res2net101_26w_4s.in1k 93.720 6.280 98.320 98.310 1.680 1.690 45.21 224 0.875 bilinear
801 lambda_resnet26rpt_256.c1_in1k 93.710 6.290 98.520 1.480 10.99 256 0.940 bicubic
802 regnety_008_tv.tv2_in1k 93.690 6.310 98.490 1.510 6.43 224 0.965 bicubic
803 tf_efficientnet_b1.ap_in1k 93.680 6.320 98.360 1.640 7.79 240 0.882 bicubic
807 resnet34d.ra2_in1k 93.640 6.360 98.540 1.460 21.82 288 0.950 bicubic
808 resnet50s.gluon_in1k 93.640 6.360 98.460 1.540 25.68 224 0.875 bicubic
809 vit_base_patch32_384.augreg_in1k 93.640 6.360 98.400 1.600 88.30 384 1.000 bicubic
810 vit_base_patch16_224.augreg_in1k 93.630 93.640 6.370 6.360 98.240 1.760 86.57 224 0.900 bicubic
811 tf_efficientnet_b0.ns_jft_in1k 93.620 6.380 98.640 1.360 5.29 224 0.875 bicubic
812 cait_xxs24_224.fb_dist_in1k 93.610 6.390 98.460 1.540 11.96 224 1.000 bicubic
813 repvit_m0_9.dist_450e_in1k 93.600 6.400 98.500 1.500 5.49 224 0.950 bicubic
814 coat_tiny.in1k 93.580 6.420 98.420 1.580 5.50 224 0.900 bicubic
815 regnetx_040.pycls_in1k 93.560 6.440 98.530 1.470 22.12 224 0.875 bicubic
816 visformer_tiny.in1k 93.560 6.440 98.490 1.510 10.32 224 0.900 bicubic
817 seresnext26t_32x4d.bt_in1k 93.560 6.440 98.390 1.610 16.81 288 0.950 bicubic
818 hrnet_w44.ms_in1k 93.550 6.450 98.700 1.300 67.06 224 0.875 bilinear
819 hrnet_w18.ms_aug_in1k 93.550 6.450 98.600 1.400 21.30 224 0.950 bilinear
820 hrnet_w32.ms_in1k 93.530 6.470 98.460 98.450 1.540 1.550 41.23 224 0.875 bilinear
821 xcit_nano_12_p8_384.fb_dist_in1k 93.520 6.480 98.530 1.470 3.05 384 1.000 bicubic
822 efficientvit_b1.r224_in1k 93.510 6.490 98.320 1.680 9.10 224 0.950 bicubic
823 botnet26t_256.c1_in1k 93.510 6.490 98.300 1.700 12.49 256 0.950 bicubic
824 repvgg_b2.rvgg_in1k 93.500 6.500 98.730 1.270 89.02 224 0.875 bilinear
825 hrnet_w40.ms_in1k 93.500 6.500 98.570 1.430 57.56 224 0.875 bilinear
826 dla102x.in1k repghostnet_200.in1k 93.500 6.500 98.500 98.540 1.500 1.460 26.31 9.80 224 0.875 bilinear bicubic
827 dla102x.in1k 93.490 6.510 98.500 1.500 26.31 224 0.875 bilinear
828 tf_efficientnet_b1.aa_in1k 93.490 6.510 98.360 1.640 7.79 240 0.882 bicubic
829 resnet50d.a3_in1k 93.480 6.520 98.450 1.550 25.58 224 0.950 bicubic
830 inception_v3.gluon_in1k 93.470 6.530 98.570 1.430 23.83 299 0.875 bicubic
resnet50d.a3_in1k 93.470 6.530 98.450 1.550 25.58 224 0.950 bicubic
831 legacy_xception.tf_in1k 93.460 6.540 98.530 1.470 22.86 299 0.897 bicubic
832 repvit_m0_9.dist_300e_in1k 93.440 6.560 98.710 1.290 5.49 224 0.950 bicubic
833 seresnext26d_32x4d.bt_in1k 93.440 6.560 98.330 1.670 16.81 288 0.950 bicubic
834 xception41.tf_in1k 93.430 6.570 98.430 1.570 26.97 299 0.903 bicubic
835 mixnet_l.ft_in1k 93.430 6.570 98.220 1.780 7.33 224 0.875 bicubic
xception41.tf_in1k 93.420 6.580 98.430 1.570 26.97 299 0.903 bicubic
836 regnety_032.pycls_in1k 93.410 6.590 98.640 1.360 19.44 224 0.875 bicubic
837 xcit_tiny_12_p16_224.fb_dist_in1k 93.410 6.590 98.510 1.490 6.72 224 1.000 bicubic
838 res2net50_26w_6s.in1k 93.400 6.600 98.280 1.720 37.05 224 0.875 bilinear
839 res2net50_26w_8s.in1k 93.390 6.610 98.170 1.830 48.40 224 0.875 bilinear
840 legacy_seresnet152.in1k 93.370 93.380 6.630 6.620 98.340 1.660 66.82 224 0.875 bilinear
841 dla169.in1k 93.360 93.350 6.640 6.650 98.610 1.390 53.39 224 0.875 bilinear
842 cs3darknet_m.c2ns_in1k 93.350 6.650 98.600 1.400 9.31 288 0.950 bicubic
843 levit_conv_128.fb_dist_in1k 93.350 6.650 98.370 1.630 9.21 224 0.900 bicubic
cs3darknet_m.c2ns_in1k 93.340 6.660 98.600 1.400 9.31 288 0.950 bicubic
levit_128.fb_dist_in1k 93.340 6.660 98.370 1.630 9.21 224 0.900 bicubic
844 repvgg_b1.rvgg_in1k 93.330 6.670 98.520 1.480 57.42 224 0.875 bilinear
845 levit_128.fb_dist_in1k 93.330 6.670 98.370 1.630 9.21 224 0.900 bicubic
846 resnest26d.gluon_in1k 93.320 6.680 98.620 1.380 17.07 224 0.875 bilinear
847 resnet152.tv_in1k 93.320 6.680 98.380 1.620 60.19 224 0.875 bilinear
848 bat_resnext26ts.ch_in1k 93.320 6.680 98.360 1.640 10.73 256 0.900 bicubic
849 inception_v3.tf_in1k 93.320 6.680 98.040 1.960 23.83 299 0.875 bicubic
850 tf_mixnet_l.in1k 93.320 6.680 98.030 1.970 7.33 224 0.875 bicubic
851 legacy_seresnet101.in1k 93.310 6.690 98.520 1.480 49.33 224 0.875 bilinear
852 SelecSls60b.in1k selecsls60b.in1k 93.310 6.690 98.290 1.710 32.77 224 0.875 bicubic
853 mobilevitv2_100.cvnets_in1k 93.290 93.300 6.710 6.700 98.280 1.720 4.90 256 0.888 bicubic
854 repvit_m1.dist_in1k 93.290 6.710 98.440 1.560 5.49 224 0.950 bicubic
855 efficientnet_b1.ft_in1k 93.250 6.750 98.290 1.710 7.79 256 1.000 bicubic
856 coat_lite_tiny.in1k 93.240 6.760 98.260 1.740 5.72 224 0.900 bicubic
857 resnet26t.ra2_in1k 93.200 6.800 98.490 1.510 16.01 320 1.000 bicubic
858 hrnet_w30.ms_in1k 93.200 6.800 98.410 1.590 37.71 224 0.875 bilinear
859 dla60_res2next.in1k 93.190 6.810 98.400 1.600 17.03 224 0.875 bilinear
860 mobilevit_s.cvnets_in1k dla60_res2net.in1k 93.180 93.170 6.820 6.830 98.440 98.430 1.560 1.570 5.58 20.85 256 224 0.900 0.875 bicubic bilinear
861 dla60_res2net.in1k efficientnet_es.ra_in1k 93.180 93.170 6.820 6.830 98.430 98.410 1.570 1.590 20.85 5.44 224 0.875 bilinear bicubic
862 efficientnet_es.ra_in1k mobilevit_s.cvnets_in1k 93.160 6.840 98.410 98.440 1.590 1.560 5.44 5.58 224 256 0.875 0.900 bicubic
863 wide_resnet50_2.tv_in1k 93.160 6.840 98.370 1.630 68.88 224 0.875 bilinear
864 gcresnext26ts.ch_in1k 93.160 6.840 98.320 1.680 10.48 288 1.000 bicubic
865 ese_vovnet19b_dw.ra_in1k 93.150 6.850 98.250 1.750 6.54 288 0.950 bicubic
866 regnetx_032.pycls_in1k 93.110 6.890 98.390 1.610 15.30 224 0.875 bicubic
867 tf_efficientnetv2_b0.in1k 93.110 6.890 98.390 1.610 7.14 224 0.875 bicubic
868 resnet34.a1_in1k 93.100 6.900 98.330 1.670 21.80 288 1.000 bicubic
869 pit_xs_224.in1k 93.100 6.900 98.320 98.310 1.680 1.690 10.62 224 0.900 bicubic
870 tf_efficientnet_b1.in1k 93.100 6.900 98.300 1.700 7.79 240 0.882 bicubic
871 convnext_atto_ols.a2_in1k 93.090 6.910 98.470 1.530 3.70 288 0.950 bicubic
tf_efficientnet_b1.in1k 93.090 6.910 98.300 1.700 7.79 240 0.882 bicubic
872 dla60x.in1k 93.080 6.920 98.500 1.500 17.35 224 0.875 bilinear
dla102.in1k 93.060 6.940 98.550 1.450 33.27 224 0.875 bilinear
873 eca_resnext26ts.ch_in1k 93.060 6.940 98.400 1.600 10.30 288 1.000 bicubic
874 dla102.in1k 93.050 6.950 98.550 1.450 33.27 224 0.875 bilinear
875 regnety_016.pycls_in1k 93.040 6.960 98.370 1.630 11.20 224 0.875 bicubic
876 resnet50c.gluon_in1k 93.030 6.970 98.400 1.600 25.58 224 0.875 bicubic
SelecSls60.in1k 93.020 6.980 98.300 1.700 30.67 224 0.875 bicubic
877 rexnet_100.nav_in1k 93.020 6.980 98.190 1.810 4.80 224 0.875 bicubic
878 selecsls60.in1k 93.010 6.990 98.300 1.700 30.67 224 0.875 bicubic
879 repvgg_b1g4.rvgg_in1k 93.000 7.000 98.430 1.570 39.97 224 0.875 bilinear
880 ghostnetv2_160.in1k 92.990 7.010 98.230 1.770 12.39 224 0.875 bicubic
881 cs3darknet_focus_m.c2ns_in1k 92.970 7.030 98.390 1.610 9.30 288 0.950 bicubic
882 hardcorenas_f.miil_green_in1k 92.970 7.030 98.160 1.840 8.20 224 0.875 bilinear
883 convnextv2_atto.fcmae_ft_in1k 92.970 7.030 98.060 1.940 3.71 288 0.950 bicubic
884 seresnext26ts.ch_in1k 92.960 7.040 98.410 1.590 10.39 288 1.000 bicubic
885 poolformerv2_s12.sail_in1k 92.960 7.040 98.360 1.640 11.89 224 1.000 bicubic
886 legacy_seresnet50.in1k 92.960 7.040 98.180 1.820 28.09 224 0.875 bilinear
887 tf_efficientnet_em.in1k 92.920 92.940 7.080 7.060 98.210 98.190 1.790 1.810 6.90 240 0.882 bicubic
888 crossvit_9_dagger_240.in1k mobileone_s3.apple_in1k 92.900 92.940 7.100 7.060 98.240 98.180 1.760 1.820 8.78 10.17 240 224 0.875 0.900 bicubic bilinear
889 inception_v3.tf_adv_in1k 92.900 7.100 98.140 1.860 23.83 299 0.875 bicubic
890 crossvit_9_dagger_240.in1k 92.890 7.110 98.240 1.760 8.78 240 0.875 bicubic
891 res2next50.in1k 92.840 7.160 98.180 1.820 24.67 224 0.875 bilinear
892 tf_efficientnet_cc_b0_8e.in1k 92.840 7.160 98.180 1.820 24.01 224 0.875 bicubic
893 gmixer_24_224.ra3_in1k 92.830 7.170 97.880 2.120 24.72 224 0.875 bicubic
894 mobileone_s2.apple_in1k 92.820 7.180 98.270 1.730 7.88 224 0.900 bilinear
895 resmlp_12_224.fb_distilled_in1k 92.820 7.180 98.140 1.860 15.35 224 0.875 bicubic
896 resnet101.tv_in1k 92.810 7.190 98.250 1.750 44.55 224 0.875 bilinear
897 dpn68b.mx_in1k 92.790 7.210 98.150 1.850 12.61 224 0.875 bicubic
898 convnext_atto.d2_in1k 92.790 7.210 98.080 1.920 3.70 288 0.950 bicubic
899 efficientnet_b1_pruned.in1k 92.780 7.220 98.040 1.960 6.33 240 0.882 bicubic
900 res2net50_14w_8s.in1k hrnet_w18_small_v2.gluon_in1k 92.770 7.230 98.170 98.410 1.830 1.590 25.06 15.60 224 0.875 bilinear bicubic
901 res2net50_14w_8s.in1k 92.770 7.230 98.160 1.840 25.06 224 0.875 bilinear
902 resnext50_32x4d.tv_in1k 92.750 7.250 98.270 1.730 25.03 224 0.875 bilinear
inception_v3.tv_in1k 92.750 7.250 97.970 2.030 23.83 299 0.875 bicubic
903 densenet201.tv_in1k 92.740 7.260 98.230 1.770 20.01 224 0.875 bicubic
904 inception_v3.tv_in1k 92.730 7.270 97.970 2.030 23.83 299 0.875 bicubic
905 resnet50.a3_in1k 92.720 7.280 98.170 1.830 25.56 224 0.950 bicubic
906 resnet34.a2_in1k 92.720 7.280 98.010 1.990 21.80 288 1.000 bicubic
907 efficientnet_b0.ra_in1k 92.690 7.310 98.070 1.930 5.29 224 0.875 bicubic
908 tf_efficientnet_lite2.in1k 92.660 92.650 7.340 7.350 98.230 1.770 6.09 260 0.890 bicubic
909 legacy_seresnext26_32x4d.in1k 92.640 7.360 98.120 1.880 16.79 224 0.875 bicubic
910 tf_efficientnet_lite1.in1k 92.630 7.370 98.060 1.940 5.42 240 0.882 bicubic
911 densenetblur121d.ra_in1k 92.620 7.380 98.260 1.740 8.00 288 0.950 bicubic
tf_efficientnet_lite1.in1k 92.620 7.380 98.060 1.940 5.42 240 0.882 bicubic
912 poolformer_s12.sail_in1k 92.610 7.390 98.180 1.820 11.92 224 0.900 bicubic
913 tf_efficientnet_cc_b0_4e.in1k 92.590 92.600 7.410 7.400 98.080 1.920 13.31 224 0.875 bicubic
914 hardcorenas_e.miil_green_in1k 92.580 92.570 7.420 7.430 98.100 1.900 8.07 224 0.875 bilinear
915 regnetx_008.tv2_in1k 92.550 7.450 98.180 1.820 7.26 224 0.965 bicubic
916 res2net50_48w_2s.in1k 92.550 7.450 98.080 1.920 25.29 224 0.875 bilinear
917 resnet50.gluon_in1k 92.540 7.460 98.170 1.830 25.56 224 0.875 bicubic
918 fastvit_t8.apple_dist_in1k 92.540 7.460 98.040 1.960 4.03 256 0.900 bicubic
919 densenet121.ra_in1k 92.520 7.480 98.220 1.780 7.98 288 0.950 bicubic
920 resnet26d.bt_in1k 92.520 7.480 98.210 1.790 16.01 288 0.950 bicubic
921 xcit_tiny_12_p16_224.fb_in1k 92.510 7.490 98.240 1.760 6.72 224 1.000 bicubic
922 res2net50_26w_4s.in1k 92.490 7.510 98.030 1.970 25.70 224 0.875 bilinear
923 densenet161.tv_in1k 92.480 7.520 98.300 1.700 28.68 224 0.875 bicubic
924 efficientvit_m5.r224_in1k 92.460 7.540 97.990 2.010 12.47 224 0.875 bicubic
925 tinynet_a.in1k 92.440 7.560 98.080 1.920 6.19 192 0.875 bicubic
926 hardcorenas_d.miil_green_in1k resnet34.bt_in1k 92.410 7.590 98.070 98.150 1.930 1.850 7.50 21.80 224 288 0.875 0.950 bilinear bicubic
927 mixnet_m.ft_in1k 92.410 7.590 97.870 2.130 5.01 224 0.875 bicubic
928 convmixer_1024_20_ks9_p14.in1k 92.400 7.600 98.270 1.730 24.38 224 0.960 bicubic
929 resnet34.bt_in1k hardcorenas_d.miil_green_in1k 92.400 7.600 98.150 98.080 1.850 1.920 21.80 7.50 288 224 0.950 0.875 bicubic bilinear
930 mobilenetv2_120d.ra_in1k 92.400 7.600 98.060 1.940 5.83 224 0.875 bicubic
931 skresnet34.ra_in1k 92.380 7.620 98.150 1.850 22.28 224 0.875 bicubic
932 hrnet_w18.ms_in1k repghostnet_150.in1k 92.320 92.370 7.680 7.630 98.270 98.050 1.730 1.950 21.30 6.58 224 0.875 bilinear bicubic
933 hrnet_w18.ms_in1k 92.320 7.680 98.260 1.740 21.30 224 0.875 bilinear
934 ghostnetv2_130.in1k 92.320 7.680 98.070 1.930 8.96 224 0.875 bicubic
935 tf_mixnet_m.in1k 92.300 7.700 97.890 2.110 5.01 224 0.875 bicubic
936 SelecSls42b.in1k selecsls42b.in1k 92.290 7.710 98.110 1.890 32.46 224 0.875 bicubic
937 mobilenetv3_large_100.miil_in21k_ft_in1k 92.260 7.740 97.630 97.620 2.370 2.380 5.48 224 0.875 bilinear
938 tf_efficientnet_b0.aa_in1k 92.250 92.240 7.750 7.760 98.000 2.000 5.29 224 0.875 bicubic
939 resmlp_12_224.fb_in1k 92.220 7.780 98.150 1.850 15.35 224 0.875 bicubic
940 dla60.in1k 92.200 7.800 98.110 98.100 1.890 1.900 22.04 224 0.875 bilinear
941 tf_efficientnet_b0.ap_in1k 92.200 7.800 98.020 1.980 5.29 224 0.875 bicubic
942 regnetx_016.pycls_in1k 92.180 7.820 98.200 1.800 9.19 224 0.875 bicubic
943 gernet_s.idstcv_in1k 92.130 7.870 98.190 1.810 8.17 224 0.875 bilinear
944 resnext26ts.ra2_in1k 92.130 7.870 98.030 1.970 10.30 288 1.000 bicubic
945 xcit_nano_12_p8_224.fb_dist_in1k 92.090 92.080 7.910 7.920 98.160 1.840 3.05 224 1.000 bicubic
946 tf_efficientnet_b0.in1k 92.080 7.920 97.910 2.090 5.29 224 0.875 bicubic
947 seresnet50.a3_in1k 92.070 7.930 98.040 1.960 28.09 224 0.950 bicubic
948 tf_efficientnet_b0.in1k fastvit_t8.apple_in1k 92.070 92.060 7.930 7.940 97.920 97.930 2.080 2.070 5.29 4.03 224 256 0.875 0.900 bicubic
949 vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k 92.040 7.960 98.290 1.710 6.36 384 1.000 bicubic
950 vit_small_patch32_224.augreg_in21k_ft_in1k 92.040 7.960 98.230 1.770 22.88 224 0.900 bicubic
951 hardcorenas_c.miil_green_in1k 92.020 7.980 97.840 2.160 5.52 224 0.875 bilinear
952 resnet26.bt_in1k 91.990 8.010 98.220 1.780 16.00 288 0.950 bicubic
953 dpn68.mx_in1k 91.990 8.010 98.020 1.980 12.61 224 0.875 bicubic
efficientformerv2_s0.snap_dist_in1k 91.970 8.030 97.890 2.110 3.60 224 0.950 bicubic
954 tf_efficientnet_es.in1k 91.970 8.030 97.880 2.120 5.44 224 0.875 bicubic
955 levit_128s.fb_dist_in1k 91.960 8.040 98.060 1.940 7.78 224 0.900 bicubic
956 levit_conv_128s.fb_dist_in1k 91.960 8.040 98.060 1.940 7.78 224 0.900 bicubic
957 efficientformerv2_s0.snap_dist_in1k 91.960 8.040 97.890 2.110 3.60 224 0.950 bicubic
958 repvgg_a2.rvgg_in1k 91.940 8.060 98.140 1.860 28.21 224 0.875 bilinear
959 densenet169.tv_in1k 91.940 8.060 98.100 1.900 14.15 224 0.875 bicubic
960 repghostnet_130.in1k 91.890 8.110 97.930 2.070 5.48 224 0.875 bicubic
961 resnet50.tv_in1k 91.880 8.120 98.040 1.960 25.56 224 0.875 bilinear
962 mixer_b16_224.goog_in21k_ft_in1k 91.880 8.120 97.260 2.740 59.88 224 0.875 bicubic
resnet50.tv_in1k 91.870 8.130 98.040 1.960 25.56 224 0.875 bilinear
963 mobilenetv2_140.ra_in1k 91.840 8.160 97.860 2.140 6.11 224 0.875 bicubic
964 xcit_nano_12_p16_384.fb_dist_in1k 91.830 8.170 98.020 1.980 3.05 384 1.000 bicubic
965 mixnet_s.ft_in1k 91.830 91.820 8.170 8.180 97.690 97.700 2.310 2.300 4.13 224 0.875 bicubic
966 vit_tiny_patch16_224.augreg_in21k_ft_in1k 91.760 91.770 8.240 8.230 98.040 1.960 5.72 224 0.900 bicubic
967 mobilevitv2_075.cvnets_in1k 91.760 8.240 97.860 2.140 2.87 256 0.888 bicubic
968 hardcorenas_b.miil_green_in1k 91.760 8.240 97.770 97.780 2.230 2.220 5.18 224 0.875 bilinear
969 regnety_008.pycls_in1k 91.730 8.270 98.180 1.820 6.26 224 0.875 bicubic
970 resnest14d.gluon_in1k 91.720 8.280 97.870 2.130 10.61 224 0.875 bilinear
971 edgenext_x_small.in1k 91.710 8.290 97.600 2.400 2.34 288 1.000 bicubic
972 regnety_004.tv2_in1k 91.580 8.420 97.890 2.110 4.34 224 0.965 bicubic
973 tf_mixnet_s.in1k 91.520 8.480 97.620 2.380 4.13 224 0.875 bicubic
974 repvgg_b0.rvgg_in1k 91.400 91.390 8.600 8.610 98.000 2.000 15.82 224 0.875 bilinear
975 regnety_006.pycls_in1k 91.390 8.610 97.700 2.300 6.06 224 0.875 bicubic
976 hardcorenas_a.miil_green_in1k 91.350 8.650 97.850 2.150 5.26 224 0.875 bilinear
977 mobilenetv3_large_100.ra_in1k 91.350 8.650 97.710 2.290 5.48 224 0.875 bicubic
978 semnasnet_100.rmsp_in1k 91.310 8.690 97.560 2.440 3.89 224 0.875 bicubic
979 tf_mobilenetv3_large_100.in1k mobileone_s1.apple_in1k 91.240 91.280 8.760 8.720 97.660 97.820 2.340 2.180 5.48 4.83 224 0.875 0.900 bilinear
980 tf_mobilenetv3_large_100.in1k 91.230 8.770 97.660 2.340 5.48 224 0.875 bilinear
981 mobilenetv3_rw.rmsp_in1k 91.210 8.790 97.660 2.340 5.48 224 0.875 bicubic
982 hrnet_w18_small_v2.ms_in1k 91.200 8.800 97.900 2.100 15.60 224 0.875 bilinear
983 vit_base_patch32_224.augreg_in1k 91.190 8.810 97.390 2.610 88.22 224 0.900 bicubic
984 efficientnet_es_pruned.in1k 91.170 8.830 97.740 2.260 5.44 224 0.875 bicubic
985 efficientnet_lite0.ra_in1k 91.120 8.880 97.630 97.640 2.370 2.360 4.65 224 0.875 bicubic
986 regnetx_008.pycls_in1k 91.050 8.950 97.720 2.280 7.26 224 0.875 bicubic
987 tf_efficientnet_lite0.in1k 91.050 8.950 97.580 2.420 4.65 224 0.875 bicubic
988 xcit_nano_12_p8_224.fb_in1k 91.010 8.990 97.780 97.770 2.220 2.230 3.05 224 1.000 bicubic
989 resnet34.gluon_in1k 90.970 90.980 9.030 9.020 97.630 2.370 21.80 224 0.875 bicubic
990 mobilenetv2_110d.ra_in1k 90.970 90.960 9.030 9.040 97.540 2.460 4.52 224 0.875 bicubic
991 tinynet_b.in1k 90.920 9.080 97.660 2.340 3.73 188 0.875 bicubic
992 ghostnetv2_100.in1k 90.900 9.100 97.700 2.300 6.16 224 0.875 bicubic
993 legacy_seresnet34.in1k 90.900 9.100 97.580 2.420 21.96 224 0.875 bilinear
994 densenet121.tv_in1k 90.890 9.110 97.710 2.290 7.98 224 0.875 bicubic
995 mobilevit_xs.cvnets_in1k 90.800 90.820 9.200 9.180 97.930 2.070 2.32 256 0.900 bicubic
996 pit_ti_distilled_224.in1k 90.770 9.230 97.610 2.390 5.10 224 0.900 bicubic
997 dla34.in1k 90.760 9.240 97.650 2.350 15.74 224 0.875 bilinear
998 fbnetc_100.rmsp_in1k 90.730 9.270 97.210 2.790 5.57 224 0.875 bilinear
999 deit_tiny_distilled_patch16_224.fb_in1k 90.710 9.290 97.560 2.440 5.91 224 0.900 bicubic
1000 repghostnet_111.in1k 90.710 9.290 97.470 2.530 4.54 224 0.875 bicubic
1001 resnet18.fb_swsl_ig1b_ft_in1k 90.700 9.300 97.700 2.300 11.69 224 0.875 bilinear
1002 convit_tiny.fb_in1k 90.660 9.340 97.730 2.270 5.71 224 0.875 bicubic
1003 crossvit_9_240.in1k regnetx_004_tv.tv2_in1k 90.640 9.360 97.730 97.600 2.270 2.400 8.55 5.50 240 224 0.875 0.965 bicubic
1004 regnetx_004_tv.tv2_in1k crossvit_9_240.in1k 90.640 90.630 9.360 9.370 97.590 97.730 2.410 2.270 5.50 8.55 224 240 0.965 0.875 bicubic
1005 repvgg_a1.rvgg_in1k 90.600 9.400 97.650 2.350 14.09 224 0.875 bilinear
1006 efficientvit_m4.r224_in1k 90.580 9.420 97.530 2.470 8.80 224 0.875 bicubic
1007 mnasnet_100.rmsp_in1k 90.500 9.500 97.470 2.530 4.38 224 0.875 bicubic
1008 regnety_004.pycls_in1k 90.490 9.510 97.530 2.470 4.34 224 0.875 bicubic
1009 regnetx_006.pycls_in1k 90.350 9.650 97.430 2.570 6.20 224 0.875 bicubic
1010 spnasnet_100.rmsp_in1k 90.330 9.670 97.190 2.810 4.42 224 0.875 bilinear
1011 repghostnet_100.in1k 90.290 9.710 97.480 2.520 4.07 224 0.875 bicubic
1012 resnet18d.ra2_in1k 90.280 9.720 97.560 2.440 11.71 288 0.950 bicubic
1013 crossvit_tiny_240.in1k 90.230 9.770 97.590 2.410 7.01 240 0.875 bicubic
1014 resnet18.fb_ssl_yfcc100m_ft_in1k 90.210 9.790 97.540 97.550 2.460 2.450 11.69 224 0.875 bilinear
1015 semnasnet_075.rmsp_in1k ghostnet_100.in1k 90.090 90.180 9.910 9.820 97.440 97.290 2.560 2.710 2.91 5.18 224 0.875 bicubic
1016 vgg16_bn.tv_in1k 90.090 9.910 97.370 2.630 138.37 224 0.875 bilinear
1017 vgg19_bn.tv_in1k 90.080 9.920 97.580 2.420 143.68 224 0.875 bilinear
1018 ghostnet_100.in1k semnasnet_075.rmsp_in1k 90.030 90.070 9.970 9.930 97.370 97.440 2.630 2.560 5.18 2.91 224 0.875 bilinear bicubic
1019 resnet34.tv_in1k 89.950 10.050 97.340 2.660 21.80 224 0.875 bilinear
1020 pit_ti_224.in1k 89.940 10.060 97.450 2.550 4.85 224 0.900 bicubic
1021 resnet34.a3_in1k 89.940 10.060 97.180 2.820 21.80 224 0.950 bicubic
1022 efficientvit_m3.r224_in1k 89.860 10.140 97.540 2.460 6.90 224 0.875 bicubic
1023 vit_base_patch32_224.sam_in1k 89.740 10.260 97.000 3.000 88.22 224 0.900 bicubic
1024 xcit_nano_12_p16_224.fb_dist_in1k 89.710 89.700 10.290 10.300 97.100 2.900 3.05 224 1.000 bicubic
1025 resnet18.a1_in1k 89.680 10.320 97.100 2.900 11.69 288 1.000 bicubic
1026 deit_tiny_patch16_224.fb_in1k 89.660 10.340 97.450 2.550 5.72 224 0.900 bicubic
1027 skresnet18.ra_in1k 89.660 10.340 97.230 2.770 11.96 224 0.875 bicubic
1028 tf_mobilenetv3_large_075.in1k 89.660 89.640 10.340 10.360 97.190 2.810 3.99 224 0.875 bilinear
1029 deit_tiny_patch16_224.fb_in1k mobilenetv2_100.ra_in1k 89.650 89.600 10.350 10.400 97.460 97.150 2.540 2.850 5.72 3.50 224 0.900 0.875 bicubic
mobilenetv2_100.ra_in1k 89.580 10.420 97.140 2.860 3.50 224 0.875 bicubic
1030 resnet18.a2_in1k 89.570 10.430 96.960 3.040 11.69 288 1.000 bicubic
1031 hrnet_w18_small.gluon_in1k 89.470 10.530 97.060 2.940 13.19 224 0.875 bicubic
1032 repvgg_a0.rvgg_in1k 89.280 10.720 96.890 3.110 9.11 224 0.875 bilinear
1033 vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k 89.180 10.820 97.220 2.780 6.34 224 0.900 bicubic
1034 hrnet_w18_small.ms_in1k 89.050 10.950 97.120 2.880 13.19 224 0.875 bilinear
1035 vgg19.tv_in1k 89.050 10.950 96.870 3.130 143.67 224 0.875 bilinear
1036 resnet14t.c3_in1k 89.000 88.990 11.000 11.010 96.730 3.270 10.08 224 0.950 bicubic
1037 tf_mobilenetv3_large_minimal_100.in1k 88.950 11.050 96.860 3.140 3.92 224 0.875 bilinear
1038 regnetx_004.pycls_in1k 88.890 88.930 11.110 11.070 97.110 97.120 2.890 2.880 5.16 224 0.875 bicubic
1039 legacy_seresnet18.in1k 88.890 11.110 96.980 3.020 11.78 224 0.875 bicubic
1040 edgenext_xx_small.in1k 88.890 11.110 96.700 3.300 1.33 288 1.000 bicubic
1041 repghostnet_080.in1k 88.840 11.160 96.700 3.300 3.28 224 0.875 bicubic
1042 pvt_v2_b0.in1k 88.780 11.220 96.860 3.140 3.67 224 0.900 bicubic
1043 vgg13_bn.tv_in1k 88.750 11.250 96.980 3.020 133.05 224 0.875 bilinear
1044 lcnet_100.ra2_in1k 88.750 11.250 96.720 3.280 2.95 224 0.875 bicubic
1045 xcit_nano_12_p16_224.fb_in1k 88.620 11.380 96.790 3.210 3.05 224 1.000 bicubic
1046 vgg16.tv_in1k 88.560 11.440 96.800 3.200 138.36 224 0.875 bilinear
1047 efficientvit_m2.r224_in1k 88.470 11.530 96.900 3.100 4.19 224 0.875 bicubic
1048 resnet18.gluon_in1k 88.370 11.630 96.670 3.330 11.69 224 0.875 bicubic
1049 mobilevitv2_050.cvnets_in1k mobileone_s0.apple_in1k 88.190 88.230 11.810 11.770 96.990 96.400 3.010 3.600 1.37 5.29 256 224 0.888 0.875 bicubic bilinear
1050 tinynet_c.in1k mobilevitv2_050.cvnets_in1k 87.790 88.180 12.210 11.820 96.370 96.990 3.630 3.010 2.46 1.37 184 256 0.875 0.888 bicubic
1051 efficientvit_b0.r224_in1k 87.940 12.060 96.130 3.870 3.41 224 0.950 bicubic
1052 tinynet_c.in1k 87.780 12.220 96.370 3.630 2.46 184 0.875 bicubic
1053 vgg11_bn.tv_in1k 87.500 12.500 96.820 3.180 132.87 224 0.875 bilinear
1054 resnet18.tv_in1k 87.380 12.620 96.290 3.710 11.69 224 0.875 bilinear
1055 regnety_002.pycls_in1k 87.370 12.630 96.610 3.390 3.16 224 0.875 bicubic
1056 mobilevit_xxs.cvnets_in1k 87.150 87.160 12.850 12.840 96.100 3.900 1.27 256 0.900 bicubic
1057 mixer_l16_224.goog_in21k_ft_in1k 87.150 12.850 93.520 6.480 208.20 224 0.875 bicubic
1058 vgg13.tv_in1k 87.040 12.960 96.330 3.670 133.05 224 0.875 bilinear
1059 efficientvit_m1.r224_in1k 86.790 13.210 96.030 3.970 2.98 224 0.875 bicubic
1060 vgg11.tv_in1k 86.580 13.420 96.280 3.720 132.86 224 0.875 bilinear
1061 repghostnet_058.in1k 86.540 13.460 95.900 4.100 2.55 224 0.875 bicubic
1062 resnet18.a3_in1k 86.450 13.550 95.880 4.120 11.69 224 0.950 bicubic
1063 dla60x_c.in1k 86.280 86.290 13.720 13.710 96.160 3.840 1.32 224 0.875 bilinear
1064 resnet10t.c3_in1k 86.220 13.780 95.740 4.260 5.44 224 0.950 bicubic
1065 regnetx_002.pycls_in1k 86.140 13.860 95.960 95.970 4.040 4.030 2.68 224 0.875 bicubic
1066 lcnet_075.ra2_in1k 85.970 14.030 95.680 4.320 2.36 224 0.875 bicubic
1067 mobilenetv3_small_100.lamb_in1k 85.220 14.780 95.650 4.350 2.54 224 0.875 bicubic
1068 tf_mobilenetv3_small_100.in1k 85.190 14.810 95.770 4.230 2.54 224 0.875 bilinear
1069 repghostnet_050.in1k 85.060 14.940 95.200 4.800 2.31 224 0.875 bicubic
1070 tinynet_d.in1k 84.720 15.280 95.170 4.830 2.34 152 0.875 bicubic
1071 mnasnet_small.lamb_in1k 84.420 15.580 95.190 4.810 2.03 224 0.875 bicubic
1072 dla46x_c.in1k 84.200 84.230 15.800 15.770 95.270 4.730 1.07 224 0.875 bilinear
1073 mobilenetv2_050.lamb_in1k 83.900 83.910 16.100 16.090 94.730 94.720 5.270 5.280 1.97 224 0.875 bicubic
1074 dla46_c.in1k 83.610 16.390 94.950 5.050 1.30 224 0.875 bilinear
1075 tf_mobilenetv3_small_075.in1k 83.500 16.500 94.840 5.160 2.04 224 0.875 bilinear
1076 mobilenetv3_small_075.lamb_in1k 83.030 16.970 94.100 5.900 2.04 224 0.875 bicubic
1077 lcnet_050.ra2_in1k efficientvit_m0.r224_in1k 81.780 82.350 18.220 17.650 93.740 94.430 6.260 5.570 1.88 2.35 224 0.875 bicubic
1078 lcnet_050.ra2_in1k 81.800 18.200 93.710 6.290 1.88 224 0.875 bicubic
1079 tf_mobilenetv3_small_minimal_100.in1k 81.400 18.600 93.680 6.320 2.04 224 0.875 bilinear
1080 tinynet_e.in1k 78.920 21.080 92.540 7.460 2.04 106 0.875 bicubic
1081 mobilenetv3_small_050.lamb_in1k 77.020 22.980 91.300 8.700 1.59 224 0.875 bicubic

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@ -1,5 +1,5 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,crop_pct,interpolation
eva02_large_patch14_448.mim_in22k_ft_in22k_in1k,98.160,1.840,99.880,0.120,305.08,448,1.000,bicubic
eva02_large_patch14_448.mim_in22k_ft_in22k_in1k,98.150,1.850,99.880,0.120,305.08,448,1.000,bicubic
eva02_large_patch14_448.mim_m38m_ft_in22k_in1k,98.030,1.970,99.890,0.110,305.08,448,1.000,bicubic
eva_giant_patch14_560.m30m_ft_in22k_in1k,98.000,2.000,99.860,0.140,"1,014.45",560,1.000,bicubic
eva_giant_patch14_336.m30m_ft_in22k_in1k,97.990,2.010,99.900,0.100,"1,013.01",336,1.000,bicubic
@ -25,8 +25,8 @@ maxvit_large_tf_512.in21k_ft_in1k,97.670,2.330,99.730,0.270,212.33,512,1.000,bic
caformer_b36.sail_in22k_ft_in1k_384,97.660,2.340,99.860,0.140,98.75,384,1.000,bicubic
maxvit_large_tf_384.in21k_ft_in1k,97.660,2.340,99.820,0.180,212.03,384,1.000,bicubic
convnextv2_large.fcmae_ft_in22k_in1k_384,97.630,2.370,99.800,0.200,197.96,384,1.000,bicubic
eva_large_patch14_196.in22k_ft_in22k_in1k,97.620,2.380,99.810,0.190,304.14,196,1.000,bicubic
eva02_base_patch14_448.mim_in22k_ft_in22k_in1k,97.610,2.390,99.820,0.180,87.12,448,1.000,bicubic
eva_large_patch14_196.in22k_ft_in22k_in1k,97.610,2.390,99.810,0.190,304.14,196,1.000,bicubic
vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,97.610,2.390,99.780,0.220,632.46,336,1.000,bicubic
vit_large_patch14_clip_224.openai_ft_in12k_in1k,97.610,2.390,99.730,0.270,304.20,224,1.000,bicubic
vit_large_patch14_clip_336.openai_ft_in12k_in1k,97.600,2.400,99.730,0.270,304.53,336,1.000,bicubic
@ -63,6 +63,7 @@ deit3_large_patch16_224.fb_in22k_ft_in1k,97.310,2.690,99.680,0.320,304.37,224,1.
convnext_large.fb_in22k_ft_in1k_384,97.300,2.700,99.760,0.240,197.77,384,1.000,bicubic
volo_d5_512.sail_in1k,97.300,2.700,99.760,0.240,296.09,512,1.150,bicubic
seresnextaa101d_32x8d.sw_in12k_ft_in1k_288,97.290,2.710,99.780,0.220,93.59,320,1.000,bicubic
seresnextaa201d_32x8d.sw_in12k_ft_in1k_384,97.290,2.710,99.750,0.250,149.39,384,1.000,bicubic
caformer_s36.sail_in22k_ft_in1k_384,97.290,2.710,99.720,0.280,39.30,384,1.000,bicubic
swinv2_large_window12to24_192to384.ms_in22k_ft_in1k,97.280,2.720,99.780,0.220,196.74,384,1.000,bicubic
swinv2_base_window12to24_192to384.ms_in22k_ft_in1k,97.270,2.730,99.790,0.210,87.92,384,1.000,bicubic
@ -79,8 +80,8 @@ convnext_large.fb_in22k_ft_in1k,97.220,2.780,99.730,0.270,197.77,288,1.000,bicub
vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,97.220,2.780,99.700,0.300,86.86,384,1.000,bicubic
convnext_base.fb_in22k_ft_in1k,97.200,2.800,99.760,0.240,88.59,288,1.000,bicubic
convnextv2_base.fcmae_ft_in22k_in1k,97.200,2.800,99.760,0.240,88.72,288,1.000,bicubic
maxvit_small_tf_512.in1k,97.200,2.800,99.620,0.380,69.13,512,1.000,bicubic
tf_efficientnet_b7.ns_jft_in1k,97.190,2.810,99.700,0.300,66.35,600,0.949,bicubic
maxvit_small_tf_512.in1k,97.190,2.810,99.620,0.380,69.13,512,1.000,bicubic
coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k,97.180,2.820,99.650,0.350,73.88,224,0.950,bicubic
regnety_160.swag_ft_in1k,97.170,2.830,99.780,0.220,83.59,384,1.000,bicubic
seresnextaa101d_32x8d.sw_in12k_ft_in1k,97.170,2.830,99.740,0.260,93.59,288,1.000,bicubic
@ -117,10 +118,12 @@ maxvit_tiny_tf_512.in1k,96.970,3.030,99.670,0.330,31.05,512,1.000,bicubic
vit_large_r50_s32_384.augreg_in21k_ft_in1k,96.950,3.050,99.710,0.290,329.09,384,1.000,bicubic
vit_base_patch8_224.augreg2_in21k_ft_in1k,96.950,3.050,99.640,0.360,86.58,224,0.900,bicubic
dm_nfnet_f4.dm_in1k,96.950,3.050,99.630,0.370,316.07,512,0.951,bicubic
tiny_vit_21m_384.dist_in22k_ft_in1k,96.950,3.050,99.610,0.390,21.23,384,1.000,bicubic
swin_large_patch4_window7_224.ms_in22k_ft_in1k,96.940,3.060,99.670,0.330,196.53,224,0.900,bicubic
xcit_large_24_p16_384.fb_dist_in1k,96.940,3.060,99.510,0.490,189.10,384,1.000,bicubic
maxvit_large_tf_384.in1k,96.930,3.070,99.570,0.430,212.03,384,1.000,bicubic
beitv2_base_patch16_224.in1k_ft_in22k_in1k,96.910,3.090,99.730,0.270,86.53,224,0.900,bicubic
tiny_vit_21m_512.dist_in22k_ft_in1k,96.900,3.100,99.690,0.310,21.27,512,1.000,bicubic
vit_base_patch16_clip_384.laion2b_ft_in1k,96.900,3.100,99.670,0.330,86.86,384,1.000,bicubic
caformer_s36.sail_in1k_384,96.880,3.120,99.670,0.330,39.30,384,1.000,bicubic
volo_d5_224.sail_in1k,96.880,3.120,99.670,0.330,295.46,224,0.960,bicubic
@ -153,6 +156,7 @@ maxvit_small_tf_384.in1k,96.750,3.250,99.600,0.400,69.02,384,1.000,bicubic
beitv2_base_patch16_224.in1k_ft_in1k,96.750,3.250,99.540,0.460,86.53,224,0.900,bicubic
tf_efficientnetv2_l.in1k,96.740,3.260,99.550,0.450,118.52,480,1.000,bicubic
flexivit_large.600ep_in1k,96.730,3.270,99.560,0.440,304.36,240,0.950,bicubic
inception_next_base.sail_in1k_384,96.720,3.280,99.610,0.390,86.67,384,1.000,bicubic
tf_efficientnet_b4.ns_jft_in1k,96.710,3.290,99.640,0.360,19.34,380,0.922,bicubic
volo_d2_384.sail_in1k,96.710,3.290,99.600,0.400,58.87,384,1.000,bicubic
vit_large_patch16_224.augreg_in21k_ft_in1k,96.700,3.300,99.650,0.350,304.33,224,0.900,bicubic
@ -172,15 +176,15 @@ vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,96.620,3.380,99.560,0.440,86.57,
vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,96.610,3.390,99.480,0.520,88.30,384,1.000,bicubic
regnetz_e8.ra3_in1k,96.600,3.400,99.620,0.380,57.70,320,1.000,bicubic
convnext_small.in12k_ft_in1k,96.600,3.400,99.580,0.420,50.22,288,1.000,bicubic
maxvit_tiny_tf_384.in1k,96.590,3.410,99.560,0.440,30.98,384,1.000,bicubic
maxvit_tiny_tf_384.in1k,96.600,3.400,99.560,0.440,30.98,384,1.000,bicubic
deit3_huge_patch14_224.fb_in1k,96.580,3.420,99.520,0.480,632.13,224,0.900,bicubic
cait_s24_384.fb_dist_in1k,96.570,3.430,99.550,0.450,47.06,384,1.000,bicubic
tf_efficientnet_b7.ra_in1k,96.570,3.430,99.520,0.480,66.35,600,0.949,bicubic
vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,96.570,3.430,99.520,0.480,88.34,448,1.000,bicubic
coat_lite_medium_384.in1k,96.570,3.430,99.470,0.530,44.57,384,1.000,bicubic
regnety_120.sw_in12k_ft_in1k,96.560,3.440,99.680,0.320,51.82,288,1.000,bicubic
convnext_base.clip_laion2b_augreg_ft_in1k,96.560,3.440,99.650,0.350,88.59,256,1.000,bicubic
convnext_tiny.in12k_ft_in1k_384,96.560,3.440,99.630,0.370,28.59,384,1.000,bicubic
vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,96.560,3.440,99.520,0.480,88.34,448,1.000,bicubic
regnety_120.sw_in12k_ft_in1k,96.550,3.450,99.680,0.320,51.82,288,1.000,bicubic
xcit_small_24_p8_224.fb_dist_in1k,96.550,3.450,99.560,0.440,47.63,224,1.000,bicubic
tf_efficientnet_b8.ap_in1k,96.550,3.450,99.540,0.460,87.41,672,0.954,bicubic
hrnet_w48_ssld.paddle_in1k,96.540,3.460,99.640,0.360,77.47,288,1.000,bilinear
@ -214,6 +218,7 @@ caformer_m36.sail_in1k,96.410,3.590,99.530,0.470,56.20,224,1.000,bicubic
resnetrs420.tf_in1k,96.400,3.600,99.540,0.460,191.89,416,1.000,bicubic
convnext_large.fb_in1k,96.400,3.600,99.530,0.470,197.77,288,1.000,bicubic
mvitv2_large.fb_in1k,96.400,3.600,99.450,0.550,217.99,224,0.900,bicubic
tiny_vit_21m_224.dist_in22k_ft_in1k,96.380,3.620,99.500,0.500,21.20,224,0.950,bicubic
swin_base_patch4_window12_384.ms_in1k,96.380,3.620,99.420,0.580,87.90,384,1.000,bicubic
tf_efficientnet_b6.ap_in1k,96.370,3.630,99.550,0.450,43.04,528,0.942,bicubic
seresnext101d_32x8d.ah_in1k,96.360,3.640,99.470,0.530,93.59,288,1.000,bicubic
@ -229,13 +234,14 @@ maxvit_large_tf_224.in1k,96.330,3.670,99.410,0.590,211.79,224,0.950,bicubic
vit_base_patch16_clip_224.laion2b_ft_in1k,96.320,3.680,99.540,0.460,86.57,224,1.000,bicubic
regnetz_040_h.ra3_in1k,96.320,3.680,99.520,0.480,28.94,320,1.000,bicubic
xcit_large_24_p16_224.fb_dist_in1k,96.320,3.680,99.500,0.500,189.10,224,1.000,bicubic
vit_base_patch16_clip_224.openai_ft_in1k,96.310,3.690,99.560,0.440,86.57,224,0.900,bicubic
vit_base_patch16_clip_224.openai_ft_in1k,96.310,3.690,99.550,0.450,86.57,224,0.900,bicubic
seresnet152d.ra2_in1k,96.310,3.690,99.510,0.490,66.84,320,1.000,bicubic
convnext_base.fb_in1k,96.310,3.690,99.500,0.500,88.59,288,1.000,bicubic
regnety_1280.seer_ft_in1k,96.310,3.690,99.410,0.590,644.81,384,1.000,bicubic
vit_base_patch16_224.augreg_in21k_ft_in1k,96.300,3.700,99.560,0.440,86.57,224,0.900,bicubic
dm_nfnet_f1.dm_in1k,96.300,3.700,99.530,0.470,132.63,320,0.910,bicubic
tf_efficientnet_b6.aa_in1k,96.300,3.700,99.530,0.470,43.04,528,0.942,bicubic
fastvit_ma36.apple_dist_in1k,96.300,3.700,99.500,0.500,44.07,256,0.950,bicubic
resnetv2_50x3_bit.goog_in21k_ft_in1k,96.270,3.730,99.630,0.370,217.32,448,1.000,bilinear
efficientnetv2_rw_m.agc_in1k,96.270,3.730,99.560,0.440,53.24,416,1.000,bicubic
resnext101_32x16d.fb_swsl_ig1b_ft_in1k,96.270,3.730,99.500,0.500,194.03,224,0.875,bilinear
@ -264,10 +270,11 @@ crossvit_18_dagger_408.in1k,96.150,3.850,99.470,0.530,44.61,408,1.000,bicubic
regnetz_d8_evos.ch_in1k,96.140,3.860,99.490,0.510,23.46,320,1.000,bicubic
deit3_medium_patch16_224.fb_in22k_ft_in1k,96.140,3.860,99.480,0.520,38.85,224,1.000,bicubic
seresnext101_32x8d.ah_in1k,96.140,3.860,99.360,0.640,93.57,288,1.000,bicubic
efficientvit_b3.r288_in1k,96.140,3.860,99.290,0.710,48.65,288,1.000,bicubic
coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,96.130,3.870,99.340,0.660,41.72,224,0.950,bicubic
flexivit_base.1200ep_in1k,96.120,3.880,99.410,0.590,86.59,240,0.950,bicubic
resnest269e.in1k,96.110,3.890,99.520,0.480,110.93,416,0.928,bicubic
resnet200d.ra2_in1k,96.110,3.890,99.460,0.540,64.69,320,1.000,bicubic
flexivit_base.1200ep_in1k,96.110,3.890,99.410,0.590,86.59,240,0.950,bicubic
convformer_s36.sail_in1k,96.110,3.890,99.310,0.690,40.01,224,1.000,bicubic
convformer_s18.sail_in22k_ft_in1k,96.100,3.900,99.490,0.510,26.77,224,1.000,bicubic
tf_efficientnet_b3.ns_jft_in1k,96.100,3.900,99.480,0.520,12.23,300,0.904,bicubic
@ -280,11 +287,11 @@ convformer_m36.sail_in1k,96.080,3.920,99.250,0.750,57.05,224,1.000,bicubic
resnest200e.in1k,96.070,3.930,99.480,0.520,70.20,320,0.909,bicubic
tf_efficientnet_b7.aa_in1k,96.070,3.930,99.450,0.550,66.35,600,0.949,bicubic
swinv2_small_window16_256.ms_in1k,96.070,3.930,99.340,0.660,49.73,256,0.900,bicubic
vit_small_r26_s32_384.augreg_in21k_ft_in1k,96.060,3.940,99.550,0.450,36.47,384,1.000,bicubic
regnety_640.seer_ft_in1k,96.060,3.940,99.500,0.500,281.38,384,1.000,bicubic
resnetrs270.tf_in1k,96.060,3.940,99.480,0.520,129.86,352,1.000,bicubic
swin_small_patch4_window7_224.ms_in22k_ft_in1k,96.060,3.940,99.480,0.520,49.61,224,0.900,bicubic
swinv2_base_window8_256.ms_in1k,96.060,3.940,99.410,0.590,87.92,256,0.900,bicubic
vit_small_r26_s32_384.augreg_in21k_ft_in1k,96.050,3.950,99.550,0.450,36.47,384,1.000,bicubic
resnext101_32x4d.fb_swsl_ig1b_ft_in1k,96.040,3.960,99.540,0.460,44.18,224,0.875,bilinear
maxvit_rmlp_tiny_rw_256.sw_in1k,96.040,3.960,99.410,0.590,29.15,256,0.950,bicubic
swin_s3_base_224.ms_in1k,96.040,3.960,99.350,0.650,71.13,224,0.900,bicubic
@ -297,19 +304,24 @@ vit_medium_patch16_gap_256.sw_in12k_ft_in1k,96.000,4.000,99.500,0.500,38.86,256,
cs3se_edgenet_x.c2ns_in1k,96.000,4.000,99.430,0.570,50.72,320,1.000,bicubic
cait_xs24_384.fb_dist_in1k,96.000,4.000,99.420,0.580,26.67,384,1.000,bicubic
coat_lite_medium.in1k,96.000,4.000,99.350,0.650,44.57,224,0.900,bicubic
repvit_m2_3.dist_450e_in1k,95.990,4.010,99.400,0.600,23.69,224,0.950,bicubic
vit_small_patch16_384.augreg_in21k_ft_in1k,95.980,4.020,99.590,0.410,22.20,384,1.000,bicubic
mvitv2_base.fb_in1k,95.980,4.020,99.330,0.670,51.47,224,0.900,bicubic
tf_efficientnet_b5.ra_in1k,95.970,4.030,99.450,0.550,30.39,456,0.934,bicubic
tf_efficientnet_b5.ra_in1k,95.970,4.030,99.460,0.540,30.39,456,0.934,bicubic
convnext_small.fb_in1k,95.970,4.030,99.430,0.570,50.22,288,1.000,bicubic
fastvit_ma36.apple_in1k,95.970,4.030,99.360,0.640,44.07,256,0.950,bicubic
xcit_small_12_p8_224.fb_dist_in1k,95.960,4.040,99.430,0.570,26.21,224,1.000,bicubic
flexivit_base.600ep_in1k,95.960,4.040,99.420,0.580,86.59,240,0.950,bicubic
resnetrs152.tf_in1k,95.960,4.040,99.380,0.620,86.62,320,1.000,bicubic
flexivit_base.300ep_in1k,95.960,4.040,99.370,0.630,86.59,240,0.950,bicubic
fastvit_sa36.apple_dist_in1k,95.960,4.040,99.370,0.630,31.53,256,0.900,bicubic
maxvit_rmlp_small_rw_224.sw_in1k,95.960,4.040,99.350,0.650,64.90,224,0.900,bicubic
repvgg_d2se.rvgg_in1k,95.950,4.050,99.470,0.530,133.33,320,1.000,bilinear
flexivit_base.300ep_in1k,95.950,4.050,99.370,0.630,86.59,240,0.950,bicubic
pvt_v2_b5.in1k,95.940,4.060,99.390,0.610,81.96,224,0.900,bicubic
resnext101_32x8d.fb_wsl_ig1b_ft_in1k,95.940,4.060,99.380,0.620,88.79,224,0.875,bilinear
eca_nfnet_l1.ra2_in1k,95.930,4.070,99.490,0.510,41.41,320,1.000,bicubic
pvt_v2_b4.in1k,95.920,4.080,99.360,0.640,62.56,224,0.900,bicubic
inception_next_base.sail_in1k,95.920,4.080,99.220,0.780,86.67,224,0.950,bicubic
gcvit_small.in1k,95.910,4.090,99.280,0.720,51.09,224,0.875,bicubic
vit_base_patch32_384.augreg_in21k_ft_in1k,95.900,4.100,99.440,0.560,88.30,384,1.000,bicubic
focalnet_base_srf.ms_in1k,95.900,4.100,99.340,0.660,88.15,224,0.900,bicubic
@ -327,15 +339,16 @@ tf_efficientnet_b5.in1k,95.870,4.130,99.390,0.610,30.39,456,0.934,bicubic
xcit_medium_24_p8_224.fb_in1k,95.860,4.140,99.080,0.920,84.32,224,1.000,bicubic
deit3_small_patch16_224.fb_in22k_ft_in1k,95.830,4.170,99.390,0.610,22.06,224,1.000,bicubic
convnextv2_tiny.fcmae_ft_in1k,95.830,4.170,99.340,0.660,28.64,288,1.000,bicubic
crossvit_15_dagger_408.in1k,95.830,4.170,99.320,0.680,28.50,408,1.000,bicubic
efficientvit_b3.r256_in1k,95.830,4.170,99.220,0.780,48.65,256,1.000,bicubic
swin_s3_small_224.ms_in1k,95.830,4.170,99.200,0.800,49.74,224,0.900,bicubic
focalnet_base_lrf.ms_in1k,95.830,4.170,99.180,0.820,88.75,224,0.900,bicubic
resnext101_64x4d.tv_in1k,95.820,4.180,99.320,0.680,83.46,224,0.875,bilinear
crossvit_15_dagger_408.in1k,95.820,4.180,99.310,0.690,28.50,408,1.000,bicubic
tresnet_v2_l.miil_in21k_ft_in1k,95.820,4.180,99.290,0.710,46.17,224,0.875,bilinear
pit_b_distilled_224.in1k,95.820,4.180,99.210,0.790,74.79,224,0.900,bicubic
maxvit_tiny_tf_224.in1k,95.810,4.190,99.260,0.740,30.92,224,0.950,bicubic
regnety_320.seer_ft_in1k,95.800,4.200,99.390,0.610,145.05,384,1.000,bicubic
edgenext_base.usi_in1k,95.790,4.210,99.570,0.430,18.51,320,1.000,bicubic
regnety_320.seer_ft_in1k,95.790,4.210,99.390,0.610,145.05,384,1.000,bicubic
xcit_small_24_p16_224.fb_dist_in1k,95.790,4.210,99.350,0.650,47.67,224,1.000,bicubic
convnextv2_nano.fcmae_ft_in22k_in1k_384,95.790,4.210,99.300,0.700,15.62,384,1.000,bicubic
regnety_064.ra3_in1k,95.790,4.210,99.290,0.710,30.58,288,1.000,bicubic
@ -357,40 +370,48 @@ efficientnetv2_rw_s.ra2_in1k,95.710,4.290,99.380,0.620,23.94,384,1.000,bicubic
hrnet_w18_ssld.paddle_in1k,95.710,4.290,99.340,0.660,21.30,288,1.000,bilinear
swin_small_patch4_window7_224.ms_in1k,95.710,4.290,99.290,0.710,49.61,224,0.900,bicubic
swinv2_cr_small_ns_224.sw_in1k,95.710,4.290,99.290,0.710,49.70,224,0.900,bicubic
tiny_vit_11m_224.dist_in22k_ft_in1k,95.710,4.290,99.260,0.740,11.00,224,0.950,bicubic
twins_svt_large.in1k,95.700,4.300,99.370,0.630,99.27,224,0.900,bicubic
dm_nfnet_f0.dm_in1k,95.690,4.310,99.350,0.650,71.49,256,0.900,bicubic
xception65.ra3_in1k,95.690,4.310,99.320,0.680,39.92,299,0.940,bicubic
caformer_s18.sail_in1k,95.680,4.320,99.290,0.710,26.34,224,1.000,bicubic
inception_next_small.sail_in1k,95.680,4.320,99.250,0.750,49.37,224,0.875,bicubic
cait_s24_224.fb_dist_in1k,95.660,4.340,99.390,0.610,46.92,224,1.000,bicubic
gcvit_tiny.in1k,95.660,4.340,99.330,0.670,28.22,224,0.875,bicubic
xception65p.ra3_in1k,95.660,4.340,99.270,0.730,39.82,299,0.940,bicubic
tiny_vit_21m_224.in1k,95.650,4.350,99.250,0.750,21.20,224,0.950,bicubic
regnetz_c16_evos.ch_in1k,95.640,4.360,99.420,0.580,13.49,320,0.950,bicubic
deit_base_patch16_384.fb_in1k,95.640,4.360,99.240,0.760,86.86,384,1.000,bicubic
resnext50_32x4d.fb_swsl_ig1b_ft_in1k,95.630,4.370,99.440,0.560,25.03,224,0.875,bilinear
ecaresnet101d.miil_in1k,95.630,4.370,99.410,0.590,44.57,288,0.950,bicubic
focalnet_small_srf.ms_in1k,95.630,4.370,99.290,0.710,49.89,224,0.900,bicubic
coatnet_1_rw_224.sw_in1k,95.610,4.390,99.220,0.780,41.72,224,0.950,bicubic
coatnet_1_rw_224.sw_in1k,95.620,4.380,99.220,0.780,41.72,224,0.950,bicubic
fastvit_sa36.apple_in1k,95.610,4.390,99.320,0.680,31.53,256,0.900,bicubic
efficientformer_l7.snap_dist_in1k,95.600,4.400,99.440,0.560,82.23,224,0.950,bicubic
deit3_small_patch16_384.fb_in1k,95.600,4.400,99.390,0.610,22.21,384,1.000,bicubic
tf_efficientnetv2_b3.in21k_ft_in1k,95.600,4.400,99.280,0.720,14.36,300,0.900,bicubic
repvit_m2_3.dist_300e_in1k,95.590,4.410,99.390,0.610,23.69,224,0.950,bicubic
tf_efficientnet_b4.aa_in1k,95.590,4.410,99.330,0.670,19.34,380,0.922,bicubic
sequencer2d_m.in1k,95.580,4.420,99.270,0.730,38.31,224,0.875,bicubic
resnet101.a1h_in1k,95.580,4.420,99.250,0.750,44.55,288,1.000,bicubic
efficientvit_b2.r288_in1k,95.580,4.420,99.220,0.780,24.33,288,1.000,bicubic
resnetv2_101.a1h_in1k,95.570,4.430,99.370,0.630,44.54,288,1.000,bicubic
resnest101e.in1k,95.570,4.430,99.270,0.730,48.28,256,0.875,bilinear
regnety_320.tv2_in1k,95.560,4.440,99.390,0.610,145.05,224,0.965,bicubic
twins_svt_base.in1k,95.560,4.440,99.230,0.770,56.07,224,0.900,bicubic
fastvit_sa24.apple_dist_in1k,95.550,4.450,99.310,0.690,21.55,256,0.900,bicubic
rexnet_300.nav_in1k,95.540,4.460,99.320,0.680,34.71,224,0.875,bicubic
nest_base_jx.goog_in1k,95.540,4.460,99.290,0.710,67.72,224,0.875,bicubic
nest_small_jx.goog_in1k,95.540,4.460,99.220,0.780,38.35,224,0.875,bicubic
efficientvit_b3.r224_in1k,95.540,4.460,99.190,0.810,48.65,224,0.950,bicubic
efficientnet_b4.ra2_in1k,95.530,4.470,99.400,0.600,19.34,384,1.000,bicubic
resnext101_64x4d.c1_in1k,95.530,4.470,99.290,0.710,83.46,288,1.000,bicubic
tf_efficientnet_b2.ns_jft_in1k,95.520,4.480,99.340,0.660,9.11,260,0.890,bicubic
tresnet_xl.miil_in1k_448,95.510,4.490,99.340,0.660,78.44,448,0.875,bilinear
coatnet_rmlp_1_rw_224.sw_in1k,95.500,4.500,99.250,0.750,41.69,224,0.950,bicubic
regnety_040.ra3_in1k,95.490,4.510,99.420,0.580,20.65,288,1.000,bicubic
tf_efficientnet_b4.ap_in1k,95.490,4.510,99.390,0.610,19.34,380,0.922,bicubic
xcit_tiny_24_p16_384.fb_dist_in1k,95.490,4.510,99.360,0.640,12.12,384,1.000,bicubic
coatnet_rmlp_1_rw_224.sw_in1k,95.490,4.510,99.250,0.750,41.69,224,0.950,bicubic
tf_efficientnet_b4.in1k,95.480,4.520,99.270,0.730,19.34,380,0.922,bicubic
twins_pcpvt_base.in1k,95.470,4.530,99.390,0.610,43.83,224,0.900,bicubic
pvt_v2_b3.in1k,95.470,4.530,99.310,0.690,45.24,224,0.900,bicubic
@ -424,14 +445,16 @@ swinv2_tiny_window16_256.ms_in1k,95.330,4.670,99.300,0.700,28.35,256,0.900,bicub
convformer_s18.sail_in1k,95.330,4.670,99.150,0.850,26.77,224,1.000,bicubic
resnetv2_101x1_bit.goog_in21k_ft_in1k,95.320,4.680,99.370,0.630,44.54,448,1.000,bilinear
resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k,95.320,4.680,99.320,0.680,88.79,224,0.875,bilinear
rexnetr_200.sw_in12k_ft_in1k,95.310,4.690,99.480,0.520,16.52,288,1.000,bicubic
rexnetr_200.sw_in12k_ft_in1k,95.310,4.690,99.470,0.530,16.52,288,1.000,bicubic
resnext101_32x8d.tv2_in1k,95.300,4.700,99.360,0.640,88.79,224,0.965,bilinear
regnety_080_tv.tv2_in1k,95.300,4.700,99.230,0.770,39.38,224,0.965,bicubic
vit_relpos_medium_patch16_cls_224.sw_in1k,95.300,4.700,99.100,0.900,38.76,224,0.900,bicubic
resnetaa50d.sw_in12k_ft_in1k,95.290,4.710,99.380,0.620,25.58,288,1.000,bicubic
gc_efficientnetv2_rw_t.agc_in1k,95.290,4.710,99.220,0.780,13.68,288,1.000,bicubic
fastvit_sa24.apple_in1k,95.280,4.720,99.310,0.690,21.55,256,0.900,bicubic
cs3darknet_x.c2ns_in1k,95.280,4.720,99.290,0.710,35.05,288,1.000,bicubic
regnetx_320.tv2_in1k,95.280,4.720,99.290,0.710,107.81,224,0.965,bicubic
repvit_m1_5.dist_450e_in1k,95.280,4.720,99.230,0.770,14.64,224,0.950,bicubic
mobilevitv2_175.cvnets_in22k_ft_in1k_384,95.260,4.740,99.380,0.620,14.25,384,1.000,bicubic
flexivit_small.600ep_in1k,95.260,4.740,99.160,0.840,22.06,240,0.950,bicubic
resnetrs101.tf_in1k,95.250,4.750,99.210,0.790,63.62,288,0.940,bicubic
@ -439,9 +462,11 @@ vit_relpos_base_patch16_clsgap_224.sw_in1k,95.250,4.750,99.200,0.800,86.43,224,0
convnext_tiny_hnf.a2h_in1k,95.250,4.750,98.980,1.020,28.59,288,1.000,bicubic
cait_xxs36_384.fb_dist_in1k,95.240,4.760,99.320,0.680,17.37,384,1.000,bicubic
vit_large_patch32_384.orig_in21k_ft_in1k,95.240,4.760,99.320,0.680,306.63,384,1.000,bicubic
tiny_vit_11m_224.in1k,95.240,4.760,99.230,0.770,11.00,224,0.950,bicubic
wide_resnet101_2.tv2_in1k,95.240,4.760,99.200,0.800,126.89,224,0.965,bilinear
vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,95.230,4.770,99.240,0.760,88.22,224,0.900,bicubic
pvt_v2_b2_li.in1k,95.220,4.780,99.260,0.740,22.55,224,0.900,bicubic
efficientvit_b2.r256_in1k,95.220,4.780,99.130,0.870,24.33,256,1.000,bicubic
resnetv2_50d_gn.ah_in1k,95.220,4.780,99.030,0.970,25.57,288,1.000,bicubic
convnext_tiny.fb_in1k,95.210,4.790,99.310,0.690,28.59,288,1.000,bicubic
efficientformer_l3.snap_dist_in1k,95.210,4.790,99.310,0.690,31.41,224,0.950,bicubic
@ -454,25 +479,27 @@ vit_base_patch16_224.orig_in21k_ft_in1k,95.200,4.800,99.230,0.770,86.57,224,0.90
coat_small.in1k,95.190,4.810,99.280,0.720,21.69,224,0.900,bicubic
focalnet_tiny_lrf.ms_in1k,95.190,4.810,99.220,0.780,28.65,224,0.900,bicubic
vit_relpos_medium_patch16_224.sw_in1k,95.190,4.810,99.220,0.780,38.75,224,0.900,bicubic
flexivit_small.1200ep_in1k,95.180,4.820,99.180,0.820,22.06,240,0.950,bicubic
flexivit_small.1200ep_in1k,95.190,4.810,99.180,0.820,22.06,240,0.950,bicubic
poolformerv2_m48.sail_in1k,95.180,4.820,99.160,0.840,73.35,224,1.000,bicubic
crossvit_18_dagger_240.in1k,95.180,4.820,99.120,0.880,44.27,240,0.875,bicubic
regnety_160.tv2_in1k,95.160,4.840,99.250,0.750,83.59,224,0.965,bicubic
efficientnet_b3.ra2_in1k,95.150,4.850,99.210,0.790,12.23,320,1.000,bicubic
repvit_m1_5.dist_300e_in1k,95.150,4.850,99.270,0.730,14.64,224,0.950,bicubic
flexivit_small.300ep_in1k,95.150,4.850,99.150,0.850,22.06,240,0.950,bicubic
nasnetalarge.tf_in1k,95.150,4.850,99.130,0.870,88.75,331,0.911,bicubic
resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k,95.140,4.860,99.300,0.700,44.18,224,0.875,bilinear
convnextv2_nano.fcmae_ft_in1k,95.140,4.860,99.220,0.780,15.62,288,1.000,bicubic
efficientnet_b3.ra2_in1k,95.140,4.860,99.210,0.790,12.23,320,1.000,bicubic
vit_relpos_base_patch16_224.sw_in1k,95.130,4.870,99.290,0.710,86.43,224,0.900,bicubic
wide_resnet50_2.racm_in1k,95.130,4.870,99.260,0.740,68.88,288,0.950,bicubic
vit_small_r26_s32_224.augreg_in21k_ft_in1k,95.130,4.870,99.220,0.780,36.43,224,0.900,bicubic
resnet61q.ra2_in1k,95.130,4.870,99.080,0.920,36.85,288,1.000,bicubic
xcit_medium_24_p16_224.fb_in1k,95.130,4.870,98.940,1.060,84.40,224,1.000,bicubic
vit_small_r26_s32_224.augreg_in21k_ft_in1k,95.120,4.880,99.220,0.780,36.43,224,0.900,bicubic
fbnetv3_g.ra2_in1k,95.120,4.880,99.200,0.800,16.62,288,0.950,bilinear
tf_efficientnetv2_b3.in1k,95.120,4.880,99.200,0.800,14.36,300,0.904,bicubic
efficientformerv2_s2.snap_dist_in1k,95.120,4.880,99.120,0.880,12.71,224,0.950,bicubic
cs3sedarknet_l.c2ns_in1k,95.110,4.890,99.210,0.790,21.91,288,0.950,bicubic
efficientformerv2_s2.snap_dist_in1k,95.110,4.890,99.120,0.880,12.71,224,0.950,bicubic
convit_base.fb_in1k,95.100,4.900,99.150,0.850,86.54,224,0.875,bicubic
inception_next_tiny.sail_in1k,95.100,4.900,99.140,0.860,28.06,224,0.875,bicubic
poolformer_m48.sail_in1k,95.100,4.900,99.100,0.900,73.47,224,0.950,bicubic
coatnet_rmlp_nano_rw_224.sw_in1k,95.090,4.910,99.170,0.830,15.15,224,0.900,bicubic
resnet152.a1_in1k,95.090,4.910,98.990,1.010,60.19,288,1.000,bicubic
@ -484,24 +511,24 @@ coat_lite_small.in1k,95.070,4.930,99.030,0.970,19.84,224,0.900,bicubic
crossvit_base_240.in1k,95.070,4.930,98.980,1.020,105.03,240,0.875,bicubic
efficientnetv2_rw_t.ra2_in1k,95.060,4.940,99.220,0.780,13.65,288,1.000,bicubic
vit_relpos_medium_patch16_rpn_224.sw_in1k,95.060,4.940,99.200,0.800,38.73,224,0.900,bicubic
xception41p.ra3_in1k,95.060,4.940,99.160,0.840,26.91,299,0.940,bicubic
xcit_small_24_p16_224.fb_in1k,95.060,4.940,99.070,0.930,47.67,224,1.000,bicubic
focalnet_tiny_srf.ms_in1k,95.050,4.950,99.280,0.720,28.43,224,0.900,bicubic
xception41p.ra3_in1k,95.050,4.950,99.160,0.840,26.91,299,0.940,bicubic
poolformerv2_m36.sail_in1k,95.050,4.950,99.150,0.850,56.08,224,1.000,bicubic
coatnet_nano_rw_224.sw_in1k,95.050,4.950,99.140,0.860,15.14,224,0.900,bicubic
mobilevitv2_200.cvnets_in22k_ft_in1k,95.050,4.950,99.080,0.920,18.45,256,0.888,bicubic
resnet152.tv2_in1k,95.040,4.960,99.180,0.820,60.19,224,0.965,bilinear
focalnet_tiny_srf.ms_in1k,95.040,4.960,99.280,0.720,28.43,224,0.900,bicubic
resnet152.tv2_in1k,95.040,4.960,99.170,0.830,60.19,224,0.965,bilinear
poolformer_m36.sail_in1k,95.030,4.970,99.100,0.900,56.17,224,0.950,bicubic
swinv2_tiny_window8_256.ms_in1k,95.020,4.980,99.170,0.830,28.35,256,0.900,bicubic
gcvit_xtiny.in1k,95.020,4.980,99.160,0.840,19.98,224,0.875,bicubic
deit_base_patch16_224.fb_in1k,95.020,4.980,98.970,1.030,86.57,224,0.900,bicubic
pvt_v2_b2.in1k,95.010,4.990,99.140,0.860,25.36,224,0.900,bicubic
halo2botnet50ts_256.a1h_in1k,95.010,4.990,99.040,0.960,22.64,256,0.950,bicubic
halo2botnet50ts_256.a1h_in1k,95.010,4.990,99.050,0.950,22.64,256,0.950,bicubic
ecaresnet101d_pruned.miil_in1k,95.000,5.000,99.230,0.770,24.88,288,0.950,bicubic
seresnext50_32x4d.racm_in1k,95.000,5.000,99.200,0.800,27.56,288,0.950,bicubic
seresnext50_32x4d.racm_in1k,95.000,5.000,99.190,0.810,27.56,288,0.950,bicubic
resnext50_32x4d.a1h_in1k,94.990,5.010,99.190,0.810,25.03,288,1.000,bicubic
crossvit_15_dagger_240.in1k,94.990,5.010,99.160,0.840,28.21,240,0.875,bicubic
coatnet_bn_0_rw_224.sw_in1k,94.980,5.020,99.240,0.760,27.44,224,0.950,bicubic
coatnet_bn_0_rw_224.sw_in1k,94.980,5.020,99.230,0.770,27.44,224,0.950,bicubic
visformer_small.in1k,94.970,5.030,99.210,0.790,40.22,224,0.900,bicubic
convmixer_1536_20.in1k,94.970,5.030,99.170,0.830,51.63,224,0.960,bicubic
tf_efficientnet_b3.ap_in1k,94.970,5.030,99.110,0.890,12.23,300,0.904,bicubic
@ -529,9 +556,10 @@ tf_efficientnet_lite4.in1k,94.870,5.130,99.100,0.900,13.01,380,0.920,bilinear
tf_efficientnet_b1.ns_jft_in1k,94.860,5.140,99.250,0.750,7.79,240,0.882,bicubic
coatnext_nano_rw_224.sw_in1k,94.850,5.150,99.200,0.800,14.70,224,0.900,bicubic
resnetaa50.a1h_in1k,94.850,5.150,99.120,0.880,25.56,288,1.000,bicubic
efficientvit_b2.r224_in1k,94.850,5.150,98.970,1.030,24.33,224,0.950,bicubic
resnet101.tv2_in1k,94.840,5.160,99.030,0.970,44.55,224,0.965,bilinear
edgenext_small.usi_in1k,94.830,5.170,99.410,0.590,5.59,320,1.000,bicubic
vit_base_patch16_rpn_224.sw_in1k,94.830,5.170,99.090,0.910,86.54,224,0.900,bicubic
vit_base_patch16_rpn_224.sw_in1k,94.820,5.180,99.090,0.910,86.54,224,0.900,bicubic
xcit_small_12_p16_224.fb_in1k,94.820,5.180,99.060,0.940,26.25,224,1.000,bicubic
wide_resnet50_2.tv2_in1k,94.810,5.190,99.260,0.740,68.88,224,0.965,bilinear
resnet50d.ra2_in1k,94.810,5.190,99.230,0.770,25.58,288,0.950,bicubic
@ -549,26 +577,29 @@ resnetv2_50x1_bit.goog_in21k_ft_in1k,94.740,5.260,99.180,0.820,25.55,448,1.000,b
seresnet50.ra2_in1k,94.740,5.260,99.110,0.890,28.09,288,0.950,bicubic
legacy_senet154.in1k,94.730,5.270,99.100,0.900,115.09,224,0.875,bilinear
regnetx_080.tv2_in1k,94.730,5.270,99.030,0.970,39.57,224,0.965,bicubic
resnet152s.gluon_in1k,94.720,5.280,99.060,0.940,60.32,224,0.875,bicubic
repvit_m3.dist_in1k,94.720,5.280,99.060,0.940,10.68,224,0.950,bicubic
halonet50ts.a1h_in1k,94.720,5.280,98.830,1.170,22.73,256,0.940,bicubic
resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,94.710,5.290,99.240,0.760,25.03,224,0.875,bilinear
resnet152s.gluon_in1k,94.710,5.290,99.060,0.940,60.32,224,0.875,bicubic
resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,94.700,5.300,99.240,0.760,25.03,224,0.875,bilinear
poolformerv2_s36.sail_in1k,94.700,5.300,99.230,0.770,30.79,224,1.000,bicubic
resnest50d_4s2x40d.in1k,94.700,5.300,99.130,0.870,30.42,224,0.875,bicubic
crossvit_15_240.in1k,94.700,5.300,99.080,0.920,27.53,240,0.875,bicubic
senet154.gluon_in1k,94.700,5.300,98.970,1.030,115.09,224,0.875,bicubic
xcit_tiny_12_p8_224.fb_dist_in1k,94.690,5.310,99.180,0.820,6.71,224,1.000,bicubic
pit_s_distilled_224.in1k,94.690,5.310,99.150,0.850,24.04,224,0.900,bicubic
resnetv2_50.a1h_in1k,94.690,5.310,99.090,0.910,25.55,288,1.000,bicubic
deit3_small_patch16_224.fb_in1k,94.690,5.310,98.760,1.240,22.06,224,0.900,bicubic
cs3darknet_l.c2ns_in1k,94.680,5.320,99.230,0.770,21.16,288,0.950,bicubic
vit_relpos_small_patch16_224.sw_in1k,94.680,5.320,99.110,0.890,21.98,224,0.900,bicubic
fastvit_sa12.apple_dist_in1k,94.680,5.320,99.100,0.900,11.58,256,0.900,bicubic
resnetv2_50.a1h_in1k,94.680,5.320,99.090,0.910,25.55,288,1.000,bicubic
mobilevitv2_150.cvnets_in22k_ft_in1k,94.680,5.320,98.920,1.080,10.59,256,0.888,bicubic
ecaresnet50d.miil_in1k,94.670,5.330,99.260,0.740,25.58,288,0.950,bicubic
cs3darknet_l.c2ns_in1k,94.670,5.330,99.230,0.770,21.16,288,0.950,bicubic
efficientnet_el.ra_in1k,94.670,5.330,99.130,0.870,10.59,300,0.904,bicubic
regnetz_b16.ra3_in1k,94.670,5.330,99.130,0.870,9.72,288,1.000,bicubic
rexnet_200.nav_in1k,94.670,5.330,99.090,0.910,16.37,224,0.875,bicubic
tresnet_m.miil_in1k_448,94.660,5.340,99.150,0.850,31.39,448,0.875,bilinear
seresnext101_64x4d.gluon_in1k,94.650,5.350,98.970,1.030,88.23,224,0.875,bicubic
tiny_vit_5m_224.dist_in22k_ft_in1k,94.630,5.370,99.140,0.860,5.39,224,0.950,bicubic
resnet50_gn.a1h_in1k,94.620,5.380,99.150,0.850,25.56,288,0.950,bicubic
swin_tiny_patch4_window7_224.ms_in1k,94.620,5.380,99.120,0.880,28.29,224,0.900,bicubic
poolformer_s36.sail_in1k,94.620,5.380,99.050,0.950,30.86,224,0.900,bicubic
@ -576,11 +607,11 @@ vit_small_patch16_384.augreg_in1k,94.610,5.390,99.140,0.860,22.20,384,1.000,bicu
twins_pcpvt_small.in1k,94.600,5.400,99.150,0.850,24.11,224,0.900,bicubic
deit_small_distilled_patch16_224.fb_in1k,94.600,5.400,99.100,0.900,22.44,224,0.900,bicubic
resnet50.tv2_in1k,94.600,5.400,99.090,0.910,25.56,224,0.965,bilinear
efficientnet_b3_pruned.in1k,94.600,5.400,99.070,0.930,9.86,300,0.904,bicubic
resnest50d.in1k,94.600,5.400,99.030,0.970,27.48,224,0.875,bilinear
vit_small_patch32_384.augreg_in21k_ft_in1k,94.590,5.410,99.140,0.860,22.92,384,1.000,bicubic
efficientnet_b3_pruned.in1k,94.590,5.410,99.070,0.930,9.86,300,0.904,bicubic
pit_s_224.in1k,94.590,5.410,98.930,1.070,23.46,224,0.900,bicubic
crossvit_small_240.in1k,94.580,5.420,99.110,0.890,26.86,240,0.875,bicubic
crossvit_small_240.in1k,94.580,5.420,99.120,0.880,26.86,240,0.875,bicubic
convnext_nano_ols.d1h_in1k,94.580,5.420,99.050,0.950,15.65,288,1.000,bicubic
ecaresnet50t.a2_in1k,94.570,5.430,99.040,0.960,25.57,288,1.000,bicubic
repvgg_b3.rvgg_in1k,94.570,5.430,98.910,1.090,123.09,224,0.875,bilinear
@ -589,17 +620,18 @@ tnt_s_patch16_224,94.560,5.440,99.170,0.830,23.76,224,0.900,bicubic
resmlp_36_224.fb_distilled_in1k,94.560,5.440,99.160,0.840,44.69,224,0.875,bicubic
convnextv2_pico.fcmae_ft_in1k,94.560,5.440,99.140,0.860,9.07,288,0.950,bicubic
vit_srelpos_small_patch16_224.sw_in1k,94.550,5.450,99.150,0.850,21.97,224,0.900,bicubic
repvit_m1_1.dist_450e_in1k,94.550,5.450,99.090,0.910,8.80,224,0.950,bicubic
gernet_m.idstcv_in1k,94.540,5.460,98.920,1.080,21.14,224,0.875,bilinear
ecaresnetlight.miil_in1k,94.530,5.470,99.180,0.820,30.16,288,0.950,bicubic
res2net101d.in1k,94.530,5.470,98.980,1.020,45.23,224,0.875,bilinear
regnety_320.pycls_in1k,94.520,5.480,99.170,0.830,145.05,224,0.875,bicubic
xcit_tiny_12_p16_384.fb_dist_in1k,94.520,5.480,99.170,0.830,6.72,384,1.000,bicubic
res2net101d.in1k,94.520,5.480,98.980,1.020,45.23,224,0.875,bilinear
mobilevitv2_200.cvnets_in1k,94.520,5.480,98.970,1.030,18.45,256,0.888,bicubic
haloregnetz_b.ra3_in1k,94.520,5.480,98.960,1.040,11.68,224,0.940,bicubic
regnetx_032.tv2_in1k,94.520,5.480,98.910,1.090,15.30,224,0.965,bicubic
sehalonet33ts.ra2_in1k,94.520,5.480,98.770,1.230,13.69,256,0.940,bicubic
resnet50.c1_in1k,94.510,5.490,99.070,0.930,25.56,288,1.000,bicubic
resnet50.b1k_in1k,94.510,5.490,99.000,1.000,25.56,288,1.000,bicubic
sehalonet33ts.ra2_in1k,94.510,5.490,98.760,1.240,13.69,256,0.940,bicubic
repvgg_b3g4.rvgg_in1k,94.500,5.500,99.020,0.980,83.83,224,0.875,bilinear
gcresnext50ts.ch_in1k,94.490,5.510,99.010,0.990,15.67,288,1.000,bicubic
ese_vovnet39b.ra_in1k,94.480,5.520,99.060,0.940,24.57,288,0.950,bicubic
@ -611,15 +643,17 @@ eva02_tiny_patch14_336.mim_in22k_ft_in1k,94.450,5.550,99.100,0.900,5.76,336,1.00
seresnet50.a2_in1k,94.450,5.550,98.890,1.110,28.09,288,1.000,bicubic
vit_base_patch32_clip_224.openai_ft_in1k,94.440,5.560,99.180,0.820,88.22,224,0.900,bicubic
convmixer_768_32.in1k,94.440,5.560,99.110,0.890,21.11,224,0.960,bicubic
vit_base_patch16_384.augreg_in1k,94.440,5.560,99.020,0.980,86.86,384,1.000,bicubic
vit_base_patch16_384.augreg_in1k,94.440,5.560,99.030,0.970,86.86,384,1.000,bicubic
resnet152.a3_in1k,94.440,5.560,98.880,1.120,60.19,224,0.950,bicubic
seresnext101_32x4d.gluon_in1k,94.430,5.570,99.090,0.910,48.96,224,0.875,bicubic
fastvit_sa12.apple_in1k,94.430,5.570,99.030,0.970,11.58,256,0.900,bicubic
resnet152d.gluon_in1k,94.430,5.570,99.000,1.000,60.21,224,0.875,bicubic
regnety_016.tv2_in1k,94.410,5.590,99.040,0.960,11.20,224,0.965,bicubic
levit_256.fb_dist_in1k,94.400,5.600,99.060,0.940,18.89,224,0.900,bicubic
levit_conv_256.fb_dist_in1k,94.400,5.600,99.060,0.940,18.89,224,0.900,bicubic
vit_base_patch32_224.augreg_in21k_ft_in1k,94.400,5.600,99.060,0.940,88.22,224,0.900,bicubic
resnext50d_32x4d.bt_in1k,94.400,5.600,99.050,0.950,25.05,288,0.950,bicubic
repvit_m2.dist_in1k,94.400,5.600,99.040,0.960,8.80,224,0.950,bicubic
resnet50d.a1_in1k,94.400,5.600,98.790,1.210,25.58,288,1.000,bicubic
poolformer_s24.sail_in1k,94.390,5.610,99.060,0.940,21.39,224,0.900,bicubic
nf_resnet50.ra2_in1k,94.380,5.620,99.070,0.930,25.56,288,0.940,bicubic
@ -636,13 +670,15 @@ gcresnet33ts.ra2_in1k,94.350,5.650,98.960,1.040,19.88,288,1.000,bicubic
resnext101_64x4d.gluon_in1k,94.350,5.650,98.880,1.120,83.46,224,0.875,bicubic
resmlp_24_224.fb_distilled_in1k,94.330,5.670,99.090,0.910,30.02,224,0.875,bicubic
resnext50_32x4d.ra_in1k,94.330,5.670,99.030,0.970,25.03,288,0.950,bicubic
resnet50.fb_ssl_yfcc100m_ft_in1k,94.320,5.680,99.150,0.850,25.56,224,0.875,bilinear
resnet50.fb_ssl_yfcc100m_ft_in1k,94.310,5.690,99.150,0.850,25.56,224,0.875,bilinear
sebotnet33ts_256.a1h_in1k,94.310,5.690,98.600,1.400,13.70,256,0.940,bicubic
ecaresnet50d_pruned.miil_in1k,94.300,5.700,99.200,0.800,19.94,288,0.950,bicubic
resnet50.b2k_in1k,94.300,5.700,98.930,1.070,25.56,288,1.000,bicubic
tf_efficientnet_b3.in1k,94.290,5.710,99.100,0.900,12.23,300,0.904,bicubic
rexnet_150.nav_in1k,94.280,5.720,99.090,0.910,9.73,224,0.875,bicubic
fastvit_s12.apple_dist_in1k,94.280,5.720,98.980,1.020,9.47,256,0.900,bicubic
res2net50d.in1k,94.280,5.720,98.860,1.140,25.72,224,0.875,bilinear
rexnet_150.nav_in1k,94.270,5.730,99.090,0.910,9.73,224,0.875,bicubic
repvit_m1_0.dist_450e_in1k,94.270,5.730,99.040,0.960,7.30,224,0.950,bicubic
resnet50.c2_in1k,94.270,5.730,99.040,0.960,25.56,288,1.000,bicubic
tf_efficientnet_b2.ap_in1k,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic
resmlp_big_24_224.fb_in1k,94.270,5.730,98.820,1.180,129.14,224,0.875,bicubic
@ -652,6 +688,7 @@ eca_resnet33ts.ra2_in1k,94.250,5.750,99.030,0.970,19.68,288,1.000,bicubic
cspresnext50.ra_in1k,94.240,5.760,99.050,0.950,20.57,256,0.887,bilinear
xcit_tiny_24_p16_224.fb_dist_in1k,94.240,5.760,98.960,1.040,12.12,224,1.000,bicubic
regnetx_320.pycls_in1k,94.230,5.770,99.050,0.950,107.81,224,0.875,bicubic
efficientvit_b1.r288_in1k,94.230,5.770,98.950,1.050,9.10,288,1.000,bicubic
mobilevitv2_175.cvnets_in1k,94.230,5.770,98.930,1.070,14.25,256,0.888,bicubic
mixnet_xl.ra_in1k,94.230,5.770,98.820,1.180,11.90,224,0.875,bicubic
tf_efficientnet_b2.aa_in1k,94.220,5.780,99.040,0.960,9.11,260,0.890,bicubic
@ -659,23 +696,25 @@ resnet50.a1_in1k,94.220,5.780,98.930,1.070,25.56,288,1.000,bicubic
resnext50_32x4d.a2_in1k,94.220,5.780,98.750,1.250,25.03,288,1.000,bicubic
maxvit_rmlp_pico_rw_256.sw_in1k,94.210,5.790,99.000,1.000,7.52,256,0.950,bicubic
darknetaa53.c2ns_in1k,94.210,5.790,98.950,1.050,36.02,288,1.000,bilinear
resnet50.a1h_in1k,94.210,5.790,98.920,1.080,25.56,224,1.000,bicubic
resnet50.a1h_in1k,94.200,5.800,98.920,1.080,25.56,224,1.000,bicubic
repvit_m1_1.dist_300e_in1k,94.180,5.820,99.080,0.920,8.80,224,0.950,bicubic
resnet101s.gluon_in1k,94.180,5.820,99.010,0.990,44.67,224,0.875,bicubic
resnet101d.gluon_in1k,94.180,5.820,98.940,1.060,44.57,224,0.875,bicubic
seresnext50_32x4d.gluon_in1k,94.180,5.820,98.920,1.080,27.56,224,0.875,bicubic
resnetblur50.bt_in1k,94.170,5.830,99.010,0.990,25.56,288,0.950,bicubic
seresnext50_32x4d.gluon_in1k,94.170,5.830,98.920,1.080,27.56,224,0.875,bicubic
seresnet50.a1_in1k,94.160,5.840,98.850,1.150,28.09,288,1.000,bicubic
dpn92.mx_in1k,94.150,5.850,98.950,1.050,37.67,224,0.875,bicubic
regnety_064.pycls_in1k,94.130,5.870,99.030,0.970,30.58,224,0.875,bicubic
regnety_160.pycls_in1k,94.130,5.870,99.020,0.980,83.59,224,0.875,bicubic
resnext101_32x4d.gluon_in1k,94.130,5.870,98.940,1.060,44.18,224,0.875,bicubic
resnet50.a2_in1k,94.130,5.870,98.850,1.150,25.56,288,1.000,bicubic
legacy_seresnext101_32x4d.in1k,94.120,5.880,98.970,1.030,48.96,224,0.875,bilinear
resnet50.a2_in1k,94.120,5.880,98.850,1.150,25.56,288,1.000,bicubic
inception_resnet_v2.tf_ens_adv_in1k,94.120,5.880,98.790,1.210,55.84,299,0.897,bicubic
resnet50.ra_in1k,94.100,5.900,98.840,1.160,25.56,288,0.950,bicubic
cspdarknet53.ra_in1k,94.090,5.910,98.980,1.020,27.64,256,0.887,bilinear
cspdarknet53.ra_in1k,94.100,5.900,98.980,1.020,27.64,256,0.887,bilinear
fastvit_t12.apple_dist_in1k,94.100,5.900,98.950,1.050,7.55,256,0.900,bicubic
efficientnet_el_pruned.in1k,94.090,5.910,99.020,0.980,10.59,300,0.904,bicubic
tf_efficientnet_lite3.in1k,94.090,5.910,98.960,1.040,8.20,300,0.904,bilinear
efficientnet_el_pruned.in1k,94.080,5.920,99.020,0.980,10.59,300,0.904,bicubic
resnet50.ra_in1k,94.090,5.910,98.840,1.160,25.56,288,0.950,bicubic
tresnet_m.miil_in1k,94.080,5.920,98.830,1.170,31.39,224,0.875,bilinear
tf_efficientnetv2_b2.in1k,94.060,5.940,98.930,1.070,10.10,260,0.890,bicubic
gcvit_xxtiny.in1k,94.050,5.950,99.080,0.920,12.00,224,0.875,bicubic
@ -691,8 +730,8 @@ dpn107.mx_in1k,94.010,5.990,98.820,1.180,86.92,224,0.875,bicubic
resnet50.ram_in1k,94.000,6.000,98.880,1.120,25.56,288,0.950,bicubic
dla102x2.in1k,93.990,6.010,99.040,0.960,41.28,224,0.875,bilinear
deit_small_patch16_224.fb_in1k,93.990,6.010,98.960,1.040,22.05,224,0.900,bicubic
skresnext50_32x4d.ra_in1k,93.970,6.030,98.830,1.170,27.48,224,0.875,bicubic
resnet50.bt_in1k,93.960,6.040,98.930,1.070,25.56,288,0.950,bicubic
skresnext50_32x4d.ra_in1k,93.960,6.040,98.830,1.170,27.48,224,0.875,bicubic
efficientformer_l1.snap_dist_in1k,93.940,6.060,99.030,0.970,12.29,224,0.950,bicubic
ecaresnet26t.ra2_in1k,93.940,6.060,98.930,1.070,16.01,320,0.950,bicubic
dpn98.mx_in1k,93.930,6.070,98.910,1.090,61.57,224,0.875,bicubic
@ -701,11 +740,11 @@ xception71.tf_in1k,93.920,6.080,98.950,1.050,42.34,299,0.903,bicubic
regnetx_160.pycls_in1k,93.910,6.090,99.090,0.910,54.28,224,0.875,bicubic
cait_xxs36_224.fb_dist_in1k,93.910,6.090,98.890,1.110,17.30,224,1.000,bicubic
vit_base_patch16_224.sam_in1k,93.890,6.110,98.890,1.110,86.57,224,0.900,bicubic
nf_regnet_b1.ra2_in1k,93.890,6.110,98.750,1.250,10.22,288,0.900,bicubic
nf_regnet_b1.ra2_in1k,93.890,6.110,98.740,1.260,10.22,288,0.900,bicubic
regnety_080.pycls_in1k,93.880,6.120,99.000,1.000,39.18,224,0.875,bicubic
resnet152c.gluon_in1k,93.880,6.120,98.800,1.200,60.21,224,0.875,bicubic
fbnetv3_d.ra2_in1k,93.870,6.130,98.900,1.100,10.31,256,0.950,bilinear
fbnetv3_d.ra2_in1k,93.870,6.130,98.890,1.110,10.31,256,0.950,bilinear
cspresnet50.ra_in1k,93.870,6.130,98.870,1.130,21.62,256,0.887,bilinear
resnet152c.gluon_in1k,93.870,6.130,98.800,1.200,60.21,224,0.875,bicubic
ecaresnet50t.a3_in1k,93.860,6.140,98.850,1.150,25.57,224,0.950,bicubic
resnet101.a3_in1k,93.860,6.140,98.760,1.240,44.55,224,0.950,bicubic
xcit_tiny_24_p16_224.fb_in1k,93.850,6.150,98.750,1.250,12.12,224,1.000,bicubic
@ -713,63 +752,72 @@ efficientformerv2_s1.snap_dist_in1k,93.840,6.160,98.890,1.110,6.19,224,0.950,bic
hrnet_w64.ms_in1k,93.830,6.170,98.940,1.060,128.06,224,0.875,bilinear
repvgg_b2g4.rvgg_in1k,93.830,6.170,98.930,1.070,61.76,224,0.875,bilinear
efficientnet_b2_pruned.in1k,93.800,6.200,98.910,1.090,8.31,260,0.890,bicubic
dla169.in1k,93.800,6.200,98.860,1.140,53.39,224,0.875,bilinear
tiny_vit_5m_224.in1k,93.790,6.210,98.940,1.060,5.39,224,0.950,bicubic
regnetx_080.pycls_in1k,93.790,6.210,98.910,1.090,39.57,224,0.875,bicubic
dla169.in1k,93.790,6.210,98.860,1.140,53.39,224,0.875,bilinear
dpn68b.ra_in1k,93.790,6.210,98.540,1.460,12.61,288,1.000,bicubic
resnext101_32x8d.tv_in1k,93.780,6.220,98.960,1.040,88.79,224,0.875,bilinear
dpn131.mx_in1k,93.780,6.220,98.850,1.150,79.25,224,0.875,bicubic
repvit_m1_0.dist_300e_in1k,93.760,6.240,98.920,1.080,7.30,224,0.950,bicubic
resnet101.gluon_in1k,93.760,6.240,98.700,1.300,44.55,224,0.875,bicubic
tf_efficientnet_b0.ns_jft_in1k,93.750,6.250,98.970,1.030,5.29,224,0.875,bicubic
convnextv2_femto.fcmae_ft_in1k,93.750,6.250,98.930,1.070,5.23,288,0.950,bicubic
xception65.tf_in1k,93.750,6.250,98.860,1.140,39.92,299,0.903,bicubic
xception65.tf_in1k,93.750,6.250,98.870,1.130,39.92,299,0.903,bicubic
efficientnet_em.ra2_in1k,93.730,6.270,98.930,1.070,6.90,240,0.882,bicubic
hrnet_w40.ms_in1k,93.730,6.270,98.800,1.200,57.56,224,0.875,bilinear
wide_resnet101_2.tv_in1k,93.720,6.280,98.810,1.190,126.89,224,0.875,bilinear
tf_efficientnet_b1.aa_in1k,93.720,6.280,98.800,1.200,7.79,240,0.882,bicubic
tf_efficientnet_b2.in1k,93.710,6.290,98.930,1.070,9.11,260,0.890,bicubic
tf_efficientnetv2_b1.in1k,93.710,6.290,98.820,1.180,8.14,240,0.882,bicubic
efficientvit_b1.r256_in1k,93.710,6.290,98.810,1.190,9.10,256,1.000,bicubic
levit_192.fb_dist_in1k,93.710,6.290,98.790,1.210,10.95,224,0.900,bicubic
levit_conv_192.fb_dist_in1k,93.710,6.290,98.790,1.210,10.95,224,0.900,bicubic
resnet101c.gluon_in1k,93.700,6.300,98.760,1.240,44.57,224,0.875,bicubic
fastvit_s12.apple_in1k,93.700,6.300,98.720,1.280,9.47,256,0.900,bicubic
regnetx_040.pycls_in1k,93.690,6.310,98.930,1.070,22.12,224,0.875,bicubic
resnet101c.gluon_in1k,93.690,6.310,98.760,1.240,44.57,224,0.875,bicubic
rexnet_130.nav_in1k,93.680,6.320,98.700,1.300,7.56,224,0.875,bicubic
resnext50_32x4d.gluon_in1k,93.670,6.330,98.690,1.310,25.03,224,0.875,bicubic
resmlp_36_224.fb_in1k,93.650,6.350,98.950,1.050,44.69,224,0.875,bicubic
mobileone_s4.apple_in1k,93.650,6.350,98.650,1.350,14.95,224,0.900,bilinear
regnetx_064.pycls_in1k,93.640,6.360,99.040,0.960,26.21,224,0.875,bicubic
resnet50.am_in1k,93.640,6.360,98.870,1.130,25.56,224,0.875,bicubic
regnety_040.pycls_in1k,93.630,6.370,98.950,1.050,20.65,224,0.875,bicubic
fbnetv3_b.ra2_in1k,93.630,6.370,98.910,1.090,8.60,256,0.950,bilinear
resnet50.am_in1k,93.630,6.370,98.870,1.130,25.56,224,0.875,bicubic
tf_efficientnet_b1.ap_in1k,93.630,6.370,98.800,1.200,7.79,240,0.882,bicubic
hrnet_w44.ms_in1k,93.620,6.380,98.960,1.040,67.06,224,0.875,bilinear
tf_efficientnet_b1.ap_in1k,93.620,6.380,98.800,1.200,7.79,240,0.882,bicubic
legacy_xception.tf_in1k,93.620,6.380,98.770,1.230,22.86,299,0.897,bicubic
resnet34d.ra2_in1k,93.600,6.400,98.760,1.240,21.82,288,0.950,bicubic
res2net50_26w_6s.in1k,93.590,6.410,98.740,1.260,37.05,224,0.875,bilinear
resnet32ts.ra2_in1k,93.590,6.410,98.740,1.260,17.96,288,1.000,bicubic
halonet26t.a1h_in1k,93.590,6.410,98.630,1.370,12.48,256,0.950,bicubic
repvgg_b2.rvgg_in1k,93.580,6.420,99.070,0.930,89.02,224,0.875,bilinear
dla60_res2next.in1k,93.580,6.420,98.780,1.220,17.03,224,0.875,bilinear
dla60_res2next.in1k,93.580,6.420,98.790,1.210,17.03,224,0.875,bilinear
tf_efficientnet_cc_b1_8e.in1k,93.580,6.420,98.690,1.310,39.72,240,0.882,bicubic
resnet50s.gluon_in1k,93.570,6.430,98.840,1.160,25.68,224,0.875,bicubic
inception_v3.gluon_in1k,93.560,6.440,98.840,1.160,23.83,299,0.875,bicubic
resnext50_32x4d.a3_in1k,93.550,6.450,98.820,1.180,25.03,224,0.950,bicubic
eca_halonext26ts.c1_in1k,93.550,6.450,98.680,1.320,10.76,256,0.940,bicubic
repghostnet_200.in1k,93.550,6.450,98.600,1.400,9.80,224,0.875,bicubic
dla102x.in1k,93.540,6.460,98.850,1.150,26.31,224,0.875,bilinear
resnet50d.gluon_in1k,93.540,6.460,98.710,1.290,25.58,224,0.875,bicubic
res2net101_26w_4s.in1k,93.530,6.470,98.600,1.400,45.21,224,0.875,bilinear
convnext_tiny.fb_in22k_ft_in1k,93.530,6.470,98.570,1.430,28.59,288,1.000,bicubic
coat_tiny.in1k,93.510,6.490,98.680,1.320,5.50,224,0.900,bicubic
SelecSls60b.in1k,93.500,6.500,98.840,1.160,32.77,224,0.875,bicubic
selecsls60b.in1k,93.500,6.500,98.840,1.160,32.77,224,0.875,bicubic
gmlp_s16_224.ra3_in1k,93.500,6.500,98.780,1.220,19.42,224,0.875,bicubic
pvt_v2_b1.in1k,93.490,6.510,98.860,1.140,14.01,224,0.900,bicubic
fastvit_t12.apple_in1k,93.490,6.510,98.710,1.290,7.55,256,0.900,bicubic
hrnet_w18.ms_aug_in1k,93.480,6.520,98.980,1.020,21.30,224,0.950,bilinear
mobilevitv2_125.cvnets_in1k,93.480,6.520,98.840,1.160,7.48,256,0.888,bicubic
xception41.tf_in1k,93.480,6.520,98.750,1.250,26.97,299,0.903,bicubic
coat_lite_mini.in1k,93.470,6.530,98.770,1.230,11.01,224,0.900,bicubic
regnety_032.pycls_in1k,93.460,6.540,98.950,1.050,19.44,224,0.875,bicubic
wide_resnet50_2.tv_in1k,93.460,6.540,98.950,1.050,68.88,224,0.875,bilinear
repvit_m0_9.dist_300e_in1k,93.460,6.540,98.820,1.180,5.49,224,0.950,bicubic
legacy_seresnext50_32x4d.in1k,93.450,6.550,98.800,1.200,27.56,224,0.875,bilinear
cait_xxs24_224.fb_dist_in1k,93.450,6.550,98.780,1.220,11.96,224,1.000,bicubic
vit_small_patch16_224.augreg_in1k,93.450,6.550,98.780,1.220,22.05,224,0.900,bicubic
repvit_m0_9.dist_450e_in1k,93.440,6.560,98.910,1.090,5.49,224,0.950,bicubic
convnext_femto.d1_in1k,93.440,6.560,98.820,1.180,5.22,288,0.950,bicubic
repvgg_b1.rvgg_in1k,93.440,6.560,98.790,1.210,57.42,224,0.875,bilinear
botnet26t_256.c1_in1k,93.440,6.560,98.650,1.350,12.49,256,0.950,bicubic
@ -782,32 +830,35 @@ hrnet_w30.ms_in1k,93.410,6.590,98.830,1.170,37.71,224,0.875,bilinear
resnet50d.a3_in1k,93.410,6.590,98.750,1.250,25.58,224,0.950,bicubic
res2net50_26w_8s.in1k,93.410,6.590,98.690,1.310,48.40,224,0.875,bilinear
convnext_femto_ols.d1_in1k,93.390,6.610,98.910,1.090,5.23,288,0.950,bicubic
dla60_res2net.in1k,93.370,6.630,98.830,1.170,20.85,224,0.875,bilinear
repvit_m1.dist_in1k,93.380,6.620,98.650,1.350,5.49,224,0.950,bicubic
dla60_res2net.in1k,93.370,6.630,98.840,1.160,20.85,224,0.875,bilinear
xcit_tiny_12_p16_224.fb_dist_in1k,93.350,6.650,98.760,1.240,6.72,224,1.000,bicubic
eca_botnext26ts_256.c1_in1k,93.350,6.650,98.690,1.310,10.59,256,0.950,bicubic
seresnext26t_32x4d.bt_in1k,93.350,6.650,98.690,1.310,16.81,288,0.950,bicubic
vit_base_patch16_224.augreg_in1k,93.350,6.650,98.660,1.340,86.57,224,0.900,bicubic
efficientvit_b1.r224_in1k,93.330,6.670,98.570,1.430,9.10,224,0.950,bicubic
xcit_nano_12_p8_384.fb_dist_in1k,93.300,6.700,98.860,1.140,3.05,384,1.000,bicubic
pit_xs_distilled_224.in1k,93.280,6.720,98.790,1.210,11.00,224,0.900,bicubic
pit_xs_distilled_224.in1k,93.290,6.710,98.790,1.210,11.00,224,0.900,bicubic
cs3darknet_m.c2ns_in1k,93.280,6.720,98.720,1.280,9.31,288,0.950,bicubic
dla102.in1k,93.270,6.730,98.790,1.210,33.27,224,0.875,bilinear
legacy_seresnet101.in1k,93.270,6.730,98.740,1.260,49.33,224,0.875,bilinear
dla102.in1k,93.250,6.750,98.790,1.210,33.27,224,0.875,bilinear
resnet152.tv_in1k,93.240,6.760,98.750,1.250,60.19,224,0.875,bilinear
regnetx_032.pycls_in1k,93.240,6.760,98.720,1.280,15.30,224,0.875,bicubic
mixnet_l.ft_in1k,93.240,6.760,98.700,1.300,7.33,224,0.875,bicubic
resnest26d.gluon_in1k,93.230,6.770,98.850,1.150,17.07,224,0.875,bilinear
resnest26d.gluon_in1k,93.220,6.780,98.850,1.150,17.07,224,0.875,bilinear
dla60x.in1k,93.190,6.810,98.720,1.280,17.35,224,0.875,bilinear
tf_efficientnet_em.in1k,93.190,6.810,98.660,1.340,6.90,240,0.882,bicubic
inception_v3.tf_in1k,93.190,6.810,98.490,1.510,23.83,299,0.875,bicubic
res2net50_26w_4s.in1k,93.180,6.820,98.660,1.340,25.70,224,0.875,bilinear
regnety_008_tv.tv2_in1k,93.160,6.840,98.680,1.320,6.43,224,0.965,bicubic
vit_base_patch32_384.augreg_in1k,93.160,6.840,98.610,1.390,88.30,384,1.000,bicubic
mobilevit_s.cvnets_in1k,93.150,6.850,98.780,1.220,5.58,256,0.900,bicubic
regnety_008_tv.tv2_in1k,93.150,6.850,98.680,1.320,6.43,224,0.965,bicubic
res2next50.in1k,93.150,6.850,98.640,1.360,24.67,224,0.875,bilinear
vit_base_patch32_384.augreg_in1k,93.150,6.850,98.610,1.390,88.30,384,1.000,bicubic
mobilevitv2_100.cvnets_in1k,93.140,6.860,98.760,1.240,4.90,256,0.888,bicubic
vit_relpos_base_patch32_plus_rpn_256.sw_in1k,93.140,6.860,98.310,1.690,119.42,256,0.900,bicubic
bat_resnext26ts.ch_in1k,93.120,6.880,98.730,1.270,10.73,256,0.900,bicubic
cs3darknet_focus_m.c2ns_in1k,93.100,6.900,98.750,1.250,9.30,288,0.950,bicubic
ghostnetv2_160.in1k,93.090,6.910,98.740,1.260,12.39,224,0.875,bicubic
seresnext26d_32x4d.bt_in1k,93.060,6.940,98.710,1.290,16.81,288,0.950,bicubic
tf_efficientnetv2_b0.in1k,93.060,6.940,98.700,1.300,7.14,224,0.875,bicubic
repvgg_b1g4.rvgg_in1k,93.030,6.970,98.820,1.180,39.97,224,0.875,bilinear
@ -817,67 +868,72 @@ res2net50_14w_8s.in1k,93.030,6.970,98.700,1.300,25.06,224,0.875,bilinear
densenetblur121d.ra_in1k,93.030,6.970,98.600,1.400,8.00,288,0.950,bicubic
tf_mixnet_l.in1k,93.030,6.970,98.530,1.470,7.33,224,0.875,bicubic
efficientnet_b1.ft_in1k,93.020,6.980,98.710,1.290,7.79,256,1.000,bicubic
selecsls60.in1k,93.010,6.990,98.820,1.180,30.67,224,0.875,bicubic
regnety_016.pycls_in1k,93.010,6.990,98.670,1.330,11.20,224,0.875,bicubic
SelecSls60.in1k,93.000,7.000,98.820,1.180,30.67,224,0.875,bicubic
inception_v3.tf_adv_in1k,93.010,6.990,98.490,1.510,23.83,299,0.875,bicubic
hrnet_w18_small_v2.gluon_in1k,93.000,7.000,98.760,1.240,15.60,224,0.875,bicubic
resnet34.a1_in1k,93.000,7.000,98.630,1.370,21.80,288,1.000,bicubic
inception_v3.tf_adv_in1k,93.000,7.000,98.490,1.510,23.83,299,0.875,bicubic
visformer_tiny.in1k,92.980,7.020,98.730,1.270,10.32,224,0.900,bicubic
convnext_atto_ols.a2_in1k,92.980,7.020,98.670,1.330,3.70,288,0.950,bicubic
mobileone_s3.apple_in1k,92.980,7.020,98.630,1.370,10.17,224,0.900,bilinear
hardcorenas_f.miil_green_in1k,92.980,7.020,98.620,1.380,8.20,224,0.875,bilinear
efficientnet_b1_pruned.in1k,92.980,7.020,98.530,1.470,6.33,240,0.882,bicubic
hrnet_w32.ms_in1k,92.960,7.040,98.850,1.150,41.23,224,0.875,bilinear
efficientnet_b1_pruned.in1k,92.980,7.020,98.540,1.460,6.33,240,0.882,bicubic
hrnet_w32.ms_in1k,92.950,7.050,98.850,1.150,41.23,224,0.875,bilinear
seresnext26ts.ch_in1k,92.940,7.060,98.670,1.330,10.39,288,1.000,bicubic
tf_efficientnet_b1.in1k,92.940,7.060,98.660,1.340,7.79,240,0.882,bicubic
hardcorenas_e.miil_green_in1k,92.940,7.060,98.580,1.420,8.07,224,0.875,bilinear
resnet50.a3_in1k,92.940,7.060,98.530,1.470,25.56,224,0.950,bicubic
efficientnet_es.ra_in1k,92.920,7.080,98.690,1.310,5.44,224,0.875,bicubic
resnet26t.ra2_in1k,92.920,7.080,98.680,1.320,16.01,320,1.000,bicubic
resnet50.a3_in1k,92.940,7.060,98.510,1.490,25.56,224,0.950,bicubic
tf_efficientnet_b1.in1k,92.930,7.070,98.660,1.340,7.79,240,0.882,bicubic
convnextv2_atto.fcmae_ft_in1k,92.920,7.080,98.560,1.440,3.71,288,0.950,bicubic
resnet50c.gluon_in1k,92.910,7.090,98.700,1.300,25.58,224,0.875,bicubic
efficientnet_es.ra_in1k,92.910,7.090,98.690,1.310,5.44,224,0.875,bicubic
resnet26t.ra2_in1k,92.910,7.090,98.680,1.320,16.01,320,1.000,bicubic
resnext50_32x4d.tv_in1k,92.900,7.100,98.730,1.270,25.03,224,0.875,bilinear
inception_v3.tv_in1k,92.900,7.100,98.320,1.680,23.83,299,0.875,bicubic
densenet161.tv_in1k,92.890,7.110,98.790,1.210,28.68,224,0.875,bicubic
pit_xs_224.in1k,92.890,7.110,98.770,1.230,10.62,224,0.900,bicubic
pit_xs_224.in1k,92.890,7.110,98.780,1.220,10.62,224,0.900,bicubic
poolformerv2_s12.sail_in1k,92.890,7.110,98.530,1.470,11.89,224,1.000,bicubic
resnet101.tv_in1k,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear
resmlp_12_224.fb_distilled_in1k,92.870,7.130,98.620,1.380,15.35,224,0.875,bicubic
tf_efficientnet_cc_b0_8e.in1k,92.870,7.130,98.460,1.540,24.01,224,0.875,bicubic
coat_lite_tiny.in1k,92.860,7.140,98.630,1.370,5.72,224,0.900,bicubic
coat_lite_tiny.in1k,92.860,7.140,98.640,1.360,5.72,224,0.900,bicubic
rexnet_100.nav_in1k,92.830,7.170,98.600,1.400,4.80,224,0.875,bicubic
tf_efficientnet_cc_b0_4e.in1k,92.820,7.180,98.440,1.560,13.31,224,0.875,bicubic
tinynet_a.in1k,92.800,7.200,98.560,1.440,6.19,192,0.875,bicubic
dpn68b.mx_in1k,92.790,7.210,98.520,1.480,12.61,224,0.875,bicubic
tinynet_a.in1k,92.810,7.190,98.560,1.440,6.19,192,0.875,bicubic
dpn68b.mx_in1k,92.780,7.220,98.520,1.480,12.61,224,0.875,bicubic
res2net50_48w_2s.in1k,92.780,7.220,98.470,1.530,25.29,224,0.875,bilinear
hrnet_w18.ms_in1k,92.770,7.230,98.660,1.340,21.30,224,0.875,bilinear
convnext_atto.d2_in1k,92.770,7.230,98.620,1.380,3.70,288,0.950,bicubic
crossvit_9_dagger_240.in1k,92.770,7.230,98.490,1.510,8.78,240,0.875,bicubic
ese_vovnet19b_dw.ra_in1k,92.760,7.240,98.650,1.350,6.54,288,0.950,bicubic
crossvit_9_dagger_240.in1k,92.760,7.240,98.490,1.510,8.78,240,0.875,bicubic
eca_resnext26ts.ch_in1k,92.750,7.250,98.710,1.290,10.30,288,1.000,bicubic
gcresnext26ts.ch_in1k,92.740,7.260,98.610,1.390,10.48,288,1.000,bicubic
densenet201.tv_in1k,92.700,7.300,98.640,1.360,20.01,224,0.875,bicubic
densenet121.ra_in1k,92.700,7.300,98.600,1.400,7.98,288,0.950,bicubic
repvgg_a2.rvgg_in1k,92.680,7.320,98.530,1.470,28.21,224,0.875,bilinear
gmixer_24_224.ra3_in1k,92.680,7.320,98.280,1.720,24.72,224,0.875,bicubic
legacy_seresnet50.in1k,92.670,7.330,98.650,1.350,28.09,224,0.875,bilinear
dla60.in1k,92.640,7.360,98.630,1.370,22.04,224,0.875,bilinear
mobileone_s2.apple_in1k,92.660,7.340,98.680,1.320,7.88,224,0.900,bilinear
legacy_seresnet50.in1k,92.660,7.340,98.650,1.350,28.09,224,0.875,bilinear
dla60.in1k,92.650,7.350,98.630,1.370,22.04,224,0.875,bilinear
tf_efficientnet_b0.ap_in1k,92.620,7.380,98.370,1.630,5.29,224,0.875,bicubic
mobilenetv2_120d.ra_in1k,92.610,7.390,98.510,1.490,5.83,224,0.875,bicubic
hardcorenas_d.miil_green_in1k,92.610,7.390,98.430,1.570,7.50,224,0.875,bilinear
legacy_seresnext26_32x4d.in1k,92.600,7.400,98.410,1.590,16.79,224,0.875,bicubic
tf_efficientnet_lite2.in1k,92.590,7.410,98.540,1.460,6.09,260,0.890,bicubic
fastvit_t8.apple_dist_in1k,92.590,7.410,98.430,1.570,4.03,256,0.900,bicubic
resnet34.a2_in1k,92.570,7.430,98.570,1.430,21.80,288,1.000,bicubic
skresnet34.ra_in1k,92.570,7.430,98.520,1.480,22.28,224,0.875,bicubic
resnet50.gluon_in1k,92.560,7.440,98.550,1.450,25.56,224,0.875,bicubic
resnet26d.bt_in1k,92.550,7.450,98.650,1.350,16.01,288,0.950,bicubic
regnetx_016.pycls_in1k,92.530,7.470,98.550,1.450,9.19,224,0.875,bicubic
poolformer_s12.sail_in1k,92.500,7.500,98.400,1.600,11.92,224,0.900,bicubic
poolformer_s12.sail_in1k,92.500,7.500,98.390,1.610,11.92,224,0.900,bicubic
regnetx_008.tv2_in1k,92.490,7.510,98.430,1.570,7.26,224,0.965,bicubic
efficientnet_b0.ra_in1k,92.480,7.520,98.680,1.320,5.29,224,0.875,bicubic
xcit_tiny_12_p16_224.fb_in1k,92.480,7.520,98.630,1.370,6.72,224,1.000,bicubic
SelecSls42b.in1k,92.480,7.520,98.430,1.570,32.46,224,0.875,bicubic
selecsls42b.in1k,92.480,7.520,98.430,1.570,32.46,224,0.875,bicubic
gernet_s.idstcv_in1k,92.440,7.560,98.500,1.500,8.17,224,0.875,bilinear
xcit_nano_12_p8_224.fb_dist_in1k,92.430,7.570,98.530,1.470,3.05,224,1.000,bicubic
xcit_nano_12_p8_224.fb_dist_in1k,92.430,7.570,98.540,1.460,3.05,224,1.000,bicubic
tf_efficientnet_b0.aa_in1k,92.400,7.600,98.470,1.530,5.29,224,0.875,bicubic
repghostnet_150.in1k,92.380,7.620,98.530,1.470,6.58,224,0.875,bicubic
resnext26ts.ra2_in1k,92.380,7.620,98.390,1.610,10.30,288,1.000,bicubic
seresnet50.a3_in1k,92.360,7.640,98.330,1.670,28.09,224,0.950,bicubic
hardcorenas_c.miil_green_in1k,92.350,7.650,98.340,1.660,5.52,224,0.875,bilinear
@ -889,26 +945,32 @@ resnet34.bt_in1k,92.280,7.720,98.600,1.400,21.80,288,0.950,bicubic
tf_efficientnet_b0.in1k,92.280,7.720,98.550,1.450,5.29,224,0.875,bicubic
mixnet_m.ft_in1k,92.270,7.730,98.360,1.640,5.01,224,0.875,bicubic
mobilenetv3_large_100.miil_in21k_ft_in1k,92.260,7.740,98.240,1.760,5.48,224,0.875,bilinear
ghostnetv2_130.in1k,92.240,7.760,98.380,1.620,8.96,224,0.875,bicubic
tf_mixnet_m.in1k,92.210,7.790,98.420,1.580,5.01,224,0.875,bicubic
efficientvit_m5.r224_in1k,92.150,7.850,98.520,1.480,12.47,224,0.875,bicubic
vit_small_patch32_224.augreg_in21k_ft_in1k,92.140,7.860,98.520,1.480,22.88,224,0.900,bicubic
xcit_nano_12_p16_384.fb_dist_in1k,92.140,7.860,98.510,1.490,3.05,384,1.000,bicubic
xcit_nano_12_p16_384.fb_dist_in1k,92.130,7.870,98.510,1.490,3.05,384,1.000,bicubic
resmlp_12_224.fb_in1k,92.120,7.880,98.570,1.430,15.35,224,0.875,bicubic
resnet26.bt_in1k,92.120,7.880,98.550,1.450,16.00,288,0.950,bicubic
resnet50.tv_in1k,92.120,7.880,98.410,1.590,25.56,224,0.875,bilinear
resnet26.bt_in1k,92.110,7.890,98.550,1.450,16.00,288,0.950,bicubic
tf_efficientnet_es.in1k,92.110,7.890,98.430,1.570,5.44,224,0.875,bicubic
mobilenetv2_140.ra_in1k,92.050,7.950,98.250,1.750,6.11,224,0.875,bicubic
mobilevitv2_075.cvnets_in1k,91.970,8.030,98.300,1.700,2.87,256,0.888,bicubic
repghostnet_130.in1k,91.940,8.060,98.390,1.610,5.48,224,0.875,bicubic
fastvit_t8.apple_in1k,91.930,8.070,98.380,1.620,4.03,256,0.900,bicubic
hardcorenas_b.miil_green_in1k,91.920,8.080,98.410,1.590,5.18,224,0.875,bilinear
vit_tiny_patch16_224.augreg_in21k_ft_in1k,91.920,8.080,98.340,1.660,5.72,224,0.900,bicubic
regnety_008.pycls_in1k,91.890,8.110,98.410,1.590,6.26,224,0.875,bicubic
efficientformerv2_s0.snap_dist_in1k,91.870,8.130,98.370,1.630,3.60,224,0.950,bicubic
mixnet_s.ft_in1k,91.770,8.230,98.310,1.690,4.13,224,0.875,bicubic
regnety_008.pycls_in1k,91.900,8.100,98.410,1.590,6.26,224,0.875,bicubic
efficientformerv2_s0.snap_dist_in1k,91.860,8.140,98.370,1.630,3.60,224,0.950,bicubic
mobileone_s1.apple_in1k,91.790,8.210,98.460,1.540,4.83,224,0.900,bilinear
mixnet_s.ft_in1k,91.780,8.220,98.300,1.700,4.13,224,0.875,bicubic
vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,91.730,8.270,98.430,1.570,6.36,384,1.000,bicubic
efficientnet_es_pruned.in1k,91.690,8.310,98.410,1.590,5.44,224,0.875,bicubic
efficientnet_es_pruned.in1k,91.700,8.300,98.410,1.590,5.44,224,0.875,bicubic
repvgg_b0.rvgg_in1k,91.680,8.320,98.450,1.550,15.82,224,0.875,bilinear
tf_mixnet_s.in1k,91.680,8.320,98.240,1.760,4.13,224,0.875,bicubic
semnasnet_100.rmsp_in1k,91.670,8.330,98.290,1.710,3.89,224,0.875,bicubic
regnety_004.tv2_in1k,91.620,8.380,98.290,1.710,4.34,224,0.965,bicubic
ghostnetv2_100.in1k,91.630,8.370,98.290,1.710,6.16,224,0.875,bicubic
regnety_004.tv2_in1k,91.620,8.380,98.280,1.720,4.34,224,0.965,bicubic
hardcorenas_a.miil_green_in1k,91.620,8.380,98.170,1.830,5.26,224,0.875,bilinear
edgenext_x_small.in1k,91.580,8.420,98.190,1.810,2.34,288,1.000,bicubic
regnety_006.pycls_in1k,91.560,8.440,98.430,1.570,6.06,224,0.875,bicubic
@ -920,85 +982,100 @@ mobilenetv3_large_100.ra_in1k,91.470,8.530,98.320,1.680,5.48,224,0.875,bicubic
tf_mobilenetv3_large_100.in1k,91.420,8.580,98.260,1.740,5.48,224,0.875,bilinear
densenet121.tv_in1k,91.400,8.600,98.250,1.750,7.98,224,0.875,bicubic
mobilenetv2_110d.ra_in1k,91.330,8.670,98.190,1.810,4.52,224,0.875,bicubic
tf_efficientnet_lite0.in1k,91.280,8.720,98.090,1.910,4.65,224,0.875,bicubic
tf_efficientnet_lite0.in1k,91.280,8.720,98.080,1.920,4.65,224,0.875,bicubic
fbnetc_100.rmsp_in1k,91.280,8.720,97.840,2.160,5.57,224,0.875,bilinear
efficientnet_lite0.ra_in1k,91.260,8.740,98.240,1.760,4.65,224,0.875,bicubic
efficientnet_lite0.ra_in1k,91.250,8.750,98.240,1.760,4.65,224,0.875,bicubic
dla34.in1k,91.220,8.780,98.170,1.830,15.74,224,0.875,bilinear
mobilevit_xs.cvnets_in1k,91.210,8.790,98.220,1.780,2.32,256,0.900,bicubic
mnasnet_100.rmsp_in1k,91.210,8.790,98.060,1.940,4.38,224,0.875,bicubic
regnetx_008.pycls_in1k,91.180,8.820,98.370,1.630,7.26,224,0.875,bicubic
mnasnet_100.rmsp_in1k,91.210,8.790,98.050,1.950,4.38,224,0.875,bicubic
regnetx_008.pycls_in1k,91.170,8.830,98.370,1.630,7.26,224,0.875,bicubic
hrnet_w18_small_v2.ms_in1k,91.160,8.840,98.340,1.660,15.60,224,0.875,bilinear
regnetx_004_tv.tv2_in1k,91.160,8.840,98.110,1.890,5.50,224,0.965,bicubic
regnetx_004_tv.tv2_in1k,91.160,8.840,98.100,1.900,5.50,224,0.965,bicubic
resnest14d.gluon_in1k,91.150,8.850,98.330,1.670,10.61,224,0.875,bilinear
mixer_b16_224.goog_in21k_ft_in1k,91.140,8.860,97.400,2.600,59.88,224,0.875,bicubic
tinynet_b.in1k,91.120,8.880,98.060,1.940,3.73,188,0.875,bicubic
repvgg_a1.rvgg_in1k,91.120,8.880,98.160,1.840,14.09,224,0.875,bilinear
tinynet_b.in1k,91.110,8.890,98.060,1.940,3.73,188,0.875,bicubic
xcit_nano_12_p8_224.fb_in1k,91.100,8.900,98.230,1.770,3.05,224,1.000,bicubic
resnet34.gluon_in1k,91.090,8.910,98.170,1.830,21.80,224,0.875,bicubic
resnet18.fb_swsl_ig1b_ft_in1k,91.100,8.900,98.200,1.800,11.69,224,0.875,bilinear
repghostnet_111.in1k,91.100,8.900,98.050,1.950,4.54,224,0.875,bicubic
resnet34.gluon_in1k,91.090,8.910,98.180,1.820,21.80,224,0.875,bicubic
deit_tiny_distilled_patch16_224.fb_in1k,91.080,8.920,98.270,1.730,5.91,224,0.900,bicubic
resnet18.fb_swsl_ig1b_ft_in1k,91.080,8.920,98.200,1.800,11.69,224,0.875,bilinear
crossvit_9_240.in1k,91.060,8.940,98.300,1.700,8.55,240,0.875,bicubic
crossvit_9_240.in1k,91.050,8.950,98.320,1.680,8.55,240,0.875,bicubic
vgg19_bn.tv_in1k,90.990,9.010,98.100,1.900,143.68,224,0.875,bilinear
resnet18d.ra2_in1k,90.800,9.200,98.160,1.840,11.71,288,0.950,bicubic
regnetx_006.pycls_in1k,90.790,9.210,98.090,1.910,6.20,224,0.875,bicubic
regnety_004.pycls_in1k,90.770,9.230,98.070,1.930,4.34,224,0.875,bicubic
efficientvit_m4.r224_in1k,90.740,9.260,98.040,1.960,8.80,224,0.875,bicubic
pit_ti_distilled_224.in1k,90.730,9.270,98.250,1.750,5.10,224,0.900,bicubic
resnet18.fb_ssl_yfcc100m_ft_in1k,90.700,9.300,98.030,1.970,11.69,224,0.875,bilinear
resnet18.fb_ssl_yfcc100m_ft_in1k,90.700,9.300,98.020,1.980,11.69,224,0.875,bilinear
repghostnet_100.in1k,90.690,9.310,98.120,1.880,4.07,224,0.875,bicubic
spnasnet_100.rmsp_in1k,90.590,9.410,97.950,2.050,4.42,224,0.875,bilinear
vit_base_patch32_224.augreg_in1k,90.590,9.410,97.720,2.280,88.22,224,0.900,bicubic
convit_tiny.fb_in1k,90.550,9.450,98.190,1.810,5.71,224,0.875,bicubic
vgg16_bn.tv_in1k,90.540,9.460,97.990,2.010,138.37,224,0.875,bilinear
crossvit_tiny_240.in1k,90.530,9.470,97.950,2.050,7.01,240,0.875,bicubic
ghostnet_100.in1k,90.450,9.550,97.820,2.180,5.18,224,0.875,bilinear
ghostnet_100.in1k,90.460,9.540,97.910,2.090,5.18,224,0.875,bicubic
pit_ti_224.in1k,90.420,9.580,98.010,1.990,4.85,224,0.900,bicubic
tf_mobilenetv3_large_075.in1k,90.330,9.670,97.870,2.130,3.99,224,0.875,bilinear
hrnet_w18_small.gluon_in1k,90.310,9.690,97.750,2.250,13.19,224,0.875,bicubic
resnet34.tv_in1k,90.300,9.700,97.970,2.030,21.80,224,0.875,bilinear
resnet34.a3_in1k,90.240,9.760,97.880,2.120,21.80,224,0.950,bicubic
semnasnet_075.rmsp_in1k,90.220,9.780,97.950,2.050,2.91,224,0.875,bicubic
resnet18.a1_in1k,90.200,9.800,97.760,2.240,11.69,288,1.000,bicubic
xcit_nano_12_p16_224.fb_dist_in1k,90.190,9.810,97.750,2.250,3.05,224,1.000,bicubic
skresnet18.ra_in1k,90.180,9.820,97.780,2.220,11.96,224,0.875,bicubic
efficientvit_m3.r224_in1k,90.000,10.000,97.830,2.170,6.90,224,0.875,bicubic
hrnet_w18_small.ms_in1k,89.870,10.130,97.890,2.110,13.19,224,0.875,bilinear
mobilenetv2_100.ra_in1k,89.870,10.130,97.830,2.170,3.50,224,0.875,bicubic
vit_base_patch32_224.sam_in1k,89.870,10.130,97.600,2.400,88.22,224,0.900,bicubic
mobilenetv2_100.ra_in1k,89.850,10.150,97.830,2.170,3.50,224,0.875,bicubic
edgenext_xx_small.in1k,89.800,10.200,97.500,2.500,1.33,288,1.000,bicubic
repvgg_a0.rvgg_in1k,89.680,10.320,97.760,2.240,9.11,224,0.875,bilinear
vgg19.tv_in1k,89.680,10.320,97.550,2.450,143.67,224,0.875,bilinear
deit_tiny_patch16_224.fb_in1k,89.610,10.390,97.960,2.040,5.72,224,0.900,bicubic
resnet18.a2_in1k,89.480,10.520,97.630,2.370,11.69,288,1.000,bicubic
regnetx_004.pycls_in1k,89.460,10.540,97.760,2.240,5.16,224,0.875,bicubic
regnetx_004.pycls_in1k,89.470,10.530,97.760,2.240,5.16,224,0.875,bicubic
resnet18.a2_in1k,89.470,10.530,97.630,2.370,11.69,288,1.000,bicubic
repghostnet_080.in1k,89.470,10.530,97.410,2.590,3.28,224,0.875,bicubic
vgg16.tv_in1k,89.370,10.630,97.520,2.480,138.36,224,0.875,bilinear
vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,89.340,10.660,97.700,2.300,6.34,224,0.900,bicubic
legacy_seresnet18.in1k,89.260,10.740,97.690,2.310,11.78,224,0.875,bicubic
resnet14t.c3_in1k,89.250,10.750,97.440,2.560,10.08,224,0.950,bicubic
vgg13_bn.tv_in1k,89.200,10.800,97.530,2.470,133.05,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100.in1k,89.160,10.840,97.310,2.690,3.92,224,0.875,bilinear
mobilevitv2_050.cvnets_in1k,89.030,10.970,97.590,2.410,1.37,256,0.888,bicubic
mobilevitv2_050.cvnets_in1k,89.030,10.970,97.600,2.400,1.37,256,0.888,bicubic
pvt_v2_b0.in1k,88.970,11.030,97.690,2.310,3.67,224,0.900,bicubic
xcit_nano_12_p16_224.fb_in1k,88.970,11.030,97.410,2.590,3.05,224,1.000,bicubic
efficientvit_m2.r224_in1k,88.910,11.090,97.390,2.610,4.19,224,0.875,bicubic
lcnet_100.ra2_in1k,88.910,11.090,97.380,2.620,2.95,224,0.875,bicubic
resnet18.gluon_in1k,88.660,11.340,97.090,2.910,11.69,224,0.875,bicubic
mobileone_s0.apple_in1k,88.810,11.190,97.220,2.780,5.29,224,0.875,bilinear
resnet18.gluon_in1k,88.660,11.340,97.100,2.900,11.69,224,0.875,bicubic
tinynet_c.in1k,88.400,11.600,97.260,2.740,2.46,184,0.875,bicubic
vgg11_bn.tv_in1k,88.400,11.600,97.250,2.750,132.87,224,0.875,bilinear
regnety_002.pycls_in1k,88.190,11.810,97.440,2.560,3.16,224,0.875,bicubic
efficientvit_b0.r224_in1k,88.300,11.700,96.880,3.120,3.41,224,0.950,bicubic
regnety_002.pycls_in1k,88.170,11.830,97.440,2.560,3.16,224,0.875,bicubic
resnet18.tv_in1k,88.150,11.850,97.120,2.880,11.69,224,0.875,bilinear
mobilevit_xxs.cvnets_in1k,87.930,12.070,97.190,2.810,1.27,256,0.900,bicubic
mobilevit_xxs.cvnets_in1k,87.940,12.060,97.190,2.810,1.27,256,0.900,bicubic
vgg13.tv_in1k,87.570,12.430,97.110,2.890,133.05,224,0.875,bilinear
regnetx_002.pycls_in1k,87.360,12.640,97.000,3.000,2.68,224,0.875,bicubic
regnetx_002.pycls_in1k,87.370,12.630,97.000,3.000,2.68,224,0.875,bicubic
vgg11.tv_in1k,87.350,12.650,97.100,2.900,132.86,224,0.875,bilinear
dla60x_c.in1k,87.130,12.870,97.140,2.860,1.32,224,0.875,bilinear
efficientvit_m1.r224_in1k,87.220,12.780,97.020,2.980,2.98,224,0.875,bicubic
repghostnet_058.in1k,87.150,12.850,96.780,3.220,2.55,224,0.875,bicubic
dla60x_c.in1k,87.110,12.890,97.140,2.860,1.32,224,0.875,bilinear
resnet18.a3_in1k,87.070,12.930,96.660,3.340,11.69,224,0.950,bicubic
mixer_l16_224.goog_in21k_ft_in1k,86.990,13.010,94.070,5.930,208.20,224,0.875,bicubic
lcnet_075.ra2_in1k,86.960,13.040,96.550,3.450,2.36,224,0.875,bicubic
resnet10t.c3_in1k,86.680,13.320,96.730,3.270,5.44,224,0.950,bicubic
mobilenetv3_small_100.lamb_in1k,86.180,13.820,96.450,3.550,2.54,224,0.875,bicubic
tf_mobilenetv3_small_100.in1k,85.940,14.060,96.400,3.600,2.54,224,0.875,bilinear
tf_mobilenetv3_small_100.in1k,85.950,14.050,96.400,3.600,2.54,224,0.875,bilinear
mnasnet_small.lamb_in1k,85.480,14.520,96.000,4.000,2.03,224,0.875,bicubic
repghostnet_050.in1k,85.450,14.550,96.150,3.850,2.31,224,0.875,bicubic
dla46x_c.in1k,85.440,14.560,96.420,3.580,1.07,224,0.875,bilinear
tinynet_d.in1k,85.440,14.560,96.020,3.980,2.34,152,0.875,bicubic
dla46x_c.in1k,85.430,14.570,96.430,3.570,1.07,224,0.875,bilinear
mobilenetv2_050.lamb_in1k,84.990,15.010,95.620,4.380,1.97,224,0.875,bicubic
dla46_c.in1k,84.700,15.300,96.210,3.790,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075.in1k,84.500,15.500,95.880,4.120,2.04,224,0.875,bilinear
mobilenetv3_small_075.lamb_in1k,84.120,15.880,95.520,4.480,2.04,224,0.875,bicubic
lcnet_050.ra2_in1k,83.030,16.970,95.000,5.000,1.88,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100.in1k,82.670,17.330,95.020,4.980,2.04,224,0.875,bilinear
tinynet_e.in1k,79.820,20.180,93.970,6.030,2.04,106,0.875,bicubic
mobilenetv3_small_050.lamb_in1k,78.090,21.910,93.010,6.990,1.59,224,0.875,bicubic
efficientvit_m0.r224_in1k,83.220,16.780,95.700,4.300,2.35,224,0.875,bicubic
lcnet_050.ra2_in1k,83.040,16.960,95.020,4.980,1.88,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100.in1k,82.660,17.340,95.030,4.970,2.04,224,0.875,bilinear
tinynet_e.in1k,79.810,20.190,93.970,6.030,2.04,106,0.875,bicubic
mobilenetv3_small_050.lamb_in1k,78.080,21.920,93.010,6.990,1.59,224,0.875,bicubic

1 model top1 top1_err top5 top5_err param_count img_size crop_pct interpolation
2 eva02_large_patch14_448.mim_in22k_ft_in22k_in1k 98.160 98.150 1.840 1.850 99.880 0.120 305.08 448 1.000 bicubic
3 eva02_large_patch14_448.mim_m38m_ft_in22k_in1k 98.030 1.970 99.890 0.110 305.08 448 1.000 bicubic
4 eva_giant_patch14_560.m30m_ft_in22k_in1k 98.000 2.000 99.860 0.140 1,014.45 560 1.000 bicubic
5 eva_giant_patch14_336.m30m_ft_in22k_in1k 97.990 2.010 99.900 0.100 1,013.01 336 1.000 bicubic
25 caformer_b36.sail_in22k_ft_in1k_384 97.660 2.340 99.860 0.140 98.75 384 1.000 bicubic
26 maxvit_large_tf_384.in21k_ft_in1k 97.660 2.340 99.820 0.180 212.03 384 1.000 bicubic
27 convnextv2_large.fcmae_ft_in22k_in1k_384 97.630 2.370 99.800 0.200 197.96 384 1.000 bicubic
eva_large_patch14_196.in22k_ft_in22k_in1k 97.620 2.380 99.810 0.190 304.14 196 1.000 bicubic
28 eva02_base_patch14_448.mim_in22k_ft_in22k_in1k 97.610 2.390 99.820 0.180 87.12 448 1.000 bicubic
29 eva_large_patch14_196.in22k_ft_in22k_in1k 97.610 2.390 99.810 0.190 304.14 196 1.000 bicubic
30 vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k 97.610 2.390 99.780 0.220 632.46 336 1.000 bicubic
31 vit_large_patch14_clip_224.openai_ft_in12k_in1k 97.610 2.390 99.730 0.270 304.20 224 1.000 bicubic
32 vit_large_patch14_clip_336.openai_ft_in12k_in1k 97.600 2.400 99.730 0.270 304.53 336 1.000 bicubic
63 convnext_large.fb_in22k_ft_in1k_384 97.300 2.700 99.760 0.240 197.77 384 1.000 bicubic
64 volo_d5_512.sail_in1k 97.300 2.700 99.760 0.240 296.09 512 1.150 bicubic
65 seresnextaa101d_32x8d.sw_in12k_ft_in1k_288 97.290 2.710 99.780 0.220 93.59 320 1.000 bicubic
66 seresnextaa201d_32x8d.sw_in12k_ft_in1k_384 97.290 2.710 99.750 0.250 149.39 384 1.000 bicubic
67 caformer_s36.sail_in22k_ft_in1k_384 97.290 2.710 99.720 0.280 39.30 384 1.000 bicubic
68 swinv2_large_window12to24_192to384.ms_in22k_ft_in1k 97.280 2.720 99.780 0.220 196.74 384 1.000 bicubic
69 swinv2_base_window12to24_192to384.ms_in22k_ft_in1k 97.270 2.730 99.790 0.210 87.92 384 1.000 bicubic
80 vit_base_patch16_clip_384.laion2b_ft_in12k_in1k 97.220 2.780 99.700 0.300 86.86 384 1.000 bicubic
81 convnext_base.fb_in22k_ft_in1k 97.200 2.800 99.760 0.240 88.59 288 1.000 bicubic
82 convnextv2_base.fcmae_ft_in22k_in1k 97.200 2.800 99.760 0.240 88.72 288 1.000 bicubic
83 maxvit_small_tf_512.in1k 97.200 2.800 99.620 0.380 69.13 512 1.000 bicubic
84 tf_efficientnet_b7.ns_jft_in1k 97.190 2.810 99.700 0.300 66.35 600 0.949 bicubic
maxvit_small_tf_512.in1k 97.190 2.810 99.620 0.380 69.13 512 1.000 bicubic
85 coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k 97.180 2.820 99.650 0.350 73.88 224 0.950 bicubic
86 regnety_160.swag_ft_in1k 97.170 2.830 99.780 0.220 83.59 384 1.000 bicubic
87 seresnextaa101d_32x8d.sw_in12k_ft_in1k 97.170 2.830 99.740 0.260 93.59 288 1.000 bicubic
118 vit_large_r50_s32_384.augreg_in21k_ft_in1k 96.950 3.050 99.710 0.290 329.09 384 1.000 bicubic
119 vit_base_patch8_224.augreg2_in21k_ft_in1k 96.950 3.050 99.640 0.360 86.58 224 0.900 bicubic
120 dm_nfnet_f4.dm_in1k 96.950 3.050 99.630 0.370 316.07 512 0.951 bicubic
121 tiny_vit_21m_384.dist_in22k_ft_in1k 96.950 3.050 99.610 0.390 21.23 384 1.000 bicubic
122 swin_large_patch4_window7_224.ms_in22k_ft_in1k 96.940 3.060 99.670 0.330 196.53 224 0.900 bicubic
123 xcit_large_24_p16_384.fb_dist_in1k 96.940 3.060 99.510 0.490 189.10 384 1.000 bicubic
124 maxvit_large_tf_384.in1k 96.930 3.070 99.570 0.430 212.03 384 1.000 bicubic
125 beitv2_base_patch16_224.in1k_ft_in22k_in1k 96.910 3.090 99.730 0.270 86.53 224 0.900 bicubic
126 tiny_vit_21m_512.dist_in22k_ft_in1k 96.900 3.100 99.690 0.310 21.27 512 1.000 bicubic
127 vit_base_patch16_clip_384.laion2b_ft_in1k 96.900 3.100 99.670 0.330 86.86 384 1.000 bicubic
128 caformer_s36.sail_in1k_384 96.880 3.120 99.670 0.330 39.30 384 1.000 bicubic
129 volo_d5_224.sail_in1k 96.880 3.120 99.670 0.330 295.46 224 0.960 bicubic
156 beitv2_base_patch16_224.in1k_ft_in1k 96.750 3.250 99.540 0.460 86.53 224 0.900 bicubic
157 tf_efficientnetv2_l.in1k 96.740 3.260 99.550 0.450 118.52 480 1.000 bicubic
158 flexivit_large.600ep_in1k 96.730 3.270 99.560 0.440 304.36 240 0.950 bicubic
159 inception_next_base.sail_in1k_384 96.720 3.280 99.610 0.390 86.67 384 1.000 bicubic
160 tf_efficientnet_b4.ns_jft_in1k 96.710 3.290 99.640 0.360 19.34 380 0.922 bicubic
161 volo_d2_384.sail_in1k 96.710 3.290 99.600 0.400 58.87 384 1.000 bicubic
162 vit_large_patch16_224.augreg_in21k_ft_in1k 96.700 3.300 99.650 0.350 304.33 224 0.900 bicubic
176 vit_base_patch32_clip_384.laion2b_ft_in12k_in1k 96.610 3.390 99.480 0.520 88.30 384 1.000 bicubic
177 regnetz_e8.ra3_in1k 96.600 3.400 99.620 0.380 57.70 320 1.000 bicubic
178 convnext_small.in12k_ft_in1k 96.600 3.400 99.580 0.420 50.22 288 1.000 bicubic
179 maxvit_tiny_tf_384.in1k 96.590 96.600 3.410 3.400 99.560 0.440 30.98 384 1.000 bicubic
180 deit3_huge_patch14_224.fb_in1k 96.580 3.420 99.520 0.480 632.13 224 0.900 bicubic
181 cait_s24_384.fb_dist_in1k 96.570 3.430 99.550 0.450 47.06 384 1.000 bicubic
182 tf_efficientnet_b7.ra_in1k 96.570 3.430 99.520 0.480 66.35 600 0.949 bicubic
vit_base_patch32_clip_448.laion2b_ft_in12k_in1k 96.570 3.430 99.520 0.480 88.34 448 1.000 bicubic
183 coat_lite_medium_384.in1k 96.570 3.430 99.470 0.530 44.57 384 1.000 bicubic
regnety_120.sw_in12k_ft_in1k 96.560 3.440 99.680 0.320 51.82 288 1.000 bicubic
184 convnext_base.clip_laion2b_augreg_ft_in1k 96.560 3.440 99.650 0.350 88.59 256 1.000 bicubic
185 convnext_tiny.in12k_ft_in1k_384 96.560 3.440 99.630 0.370 28.59 384 1.000 bicubic
186 vit_base_patch32_clip_448.laion2b_ft_in12k_in1k 96.560 3.440 99.520 0.480 88.34 448 1.000 bicubic
187 regnety_120.sw_in12k_ft_in1k 96.550 3.450 99.680 0.320 51.82 288 1.000 bicubic
188 xcit_small_24_p8_224.fb_dist_in1k 96.550 3.450 99.560 0.440 47.63 224 1.000 bicubic
189 tf_efficientnet_b8.ap_in1k 96.550 3.450 99.540 0.460 87.41 672 0.954 bicubic
190 hrnet_w48_ssld.paddle_in1k 96.540 3.460 99.640 0.360 77.47 288 1.000 bilinear
218 resnetrs420.tf_in1k 96.400 3.600 99.540 0.460 191.89 416 1.000 bicubic
219 convnext_large.fb_in1k 96.400 3.600 99.530 0.470 197.77 288 1.000 bicubic
220 mvitv2_large.fb_in1k 96.400 3.600 99.450 0.550 217.99 224 0.900 bicubic
221 tiny_vit_21m_224.dist_in22k_ft_in1k 96.380 3.620 99.500 0.500 21.20 224 0.950 bicubic
222 swin_base_patch4_window12_384.ms_in1k 96.380 3.620 99.420 0.580 87.90 384 1.000 bicubic
223 tf_efficientnet_b6.ap_in1k 96.370 3.630 99.550 0.450 43.04 528 0.942 bicubic
224 seresnext101d_32x8d.ah_in1k 96.360 3.640 99.470 0.530 93.59 288 1.000 bicubic
234 vit_base_patch16_clip_224.laion2b_ft_in1k 96.320 3.680 99.540 0.460 86.57 224 1.000 bicubic
235 regnetz_040_h.ra3_in1k 96.320 3.680 99.520 0.480 28.94 320 1.000 bicubic
236 xcit_large_24_p16_224.fb_dist_in1k 96.320 3.680 99.500 0.500 189.10 224 1.000 bicubic
237 vit_base_patch16_clip_224.openai_ft_in1k 96.310 3.690 99.560 99.550 0.440 0.450 86.57 224 0.900 bicubic
238 seresnet152d.ra2_in1k 96.310 3.690 99.510 0.490 66.84 320 1.000 bicubic
239 convnext_base.fb_in1k 96.310 3.690 99.500 0.500 88.59 288 1.000 bicubic
240 regnety_1280.seer_ft_in1k 96.310 3.690 99.410 0.590 644.81 384 1.000 bicubic
241 vit_base_patch16_224.augreg_in21k_ft_in1k 96.300 3.700 99.560 0.440 86.57 224 0.900 bicubic
242 dm_nfnet_f1.dm_in1k 96.300 3.700 99.530 0.470 132.63 320 0.910 bicubic
243 tf_efficientnet_b6.aa_in1k 96.300 3.700 99.530 0.470 43.04 528 0.942 bicubic
244 fastvit_ma36.apple_dist_in1k 96.300 3.700 99.500 0.500 44.07 256 0.950 bicubic
245 resnetv2_50x3_bit.goog_in21k_ft_in1k 96.270 3.730 99.630 0.370 217.32 448 1.000 bilinear
246 efficientnetv2_rw_m.agc_in1k 96.270 3.730 99.560 0.440 53.24 416 1.000 bicubic
247 resnext101_32x16d.fb_swsl_ig1b_ft_in1k 96.270 3.730 99.500 0.500 194.03 224 0.875 bilinear
270 regnetz_d8_evos.ch_in1k 96.140 3.860 99.490 0.510 23.46 320 1.000 bicubic
271 deit3_medium_patch16_224.fb_in22k_ft_in1k 96.140 3.860 99.480 0.520 38.85 224 1.000 bicubic
272 seresnext101_32x8d.ah_in1k 96.140 3.860 99.360 0.640 93.57 288 1.000 bicubic
273 efficientvit_b3.r288_in1k 96.140 3.860 99.290 0.710 48.65 288 1.000 bicubic
274 coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k 96.130 3.870 99.340 0.660 41.72 224 0.950 bicubic
275 flexivit_base.1200ep_in1k 96.120 3.880 99.410 0.590 86.59 240 0.950 bicubic
276 resnest269e.in1k 96.110 3.890 99.520 0.480 110.93 416 0.928 bicubic
277 resnet200d.ra2_in1k 96.110 3.890 99.460 0.540 64.69 320 1.000 bicubic
flexivit_base.1200ep_in1k 96.110 3.890 99.410 0.590 86.59 240 0.950 bicubic
278 convformer_s36.sail_in1k 96.110 3.890 99.310 0.690 40.01 224 1.000 bicubic
279 convformer_s18.sail_in22k_ft_in1k 96.100 3.900 99.490 0.510 26.77 224 1.000 bicubic
280 tf_efficientnet_b3.ns_jft_in1k 96.100 3.900 99.480 0.520 12.23 300 0.904 bicubic
287 resnest200e.in1k 96.070 3.930 99.480 0.520 70.20 320 0.909 bicubic
288 tf_efficientnet_b7.aa_in1k 96.070 3.930 99.450 0.550 66.35 600 0.949 bicubic
289 swinv2_small_window16_256.ms_in1k 96.070 3.930 99.340 0.660 49.73 256 0.900 bicubic
290 vit_small_r26_s32_384.augreg_in21k_ft_in1k 96.060 3.940 99.550 0.450 36.47 384 1.000 bicubic
291 regnety_640.seer_ft_in1k 96.060 3.940 99.500 0.500 281.38 384 1.000 bicubic
292 resnetrs270.tf_in1k 96.060 3.940 99.480 0.520 129.86 352 1.000 bicubic
293 swin_small_patch4_window7_224.ms_in22k_ft_in1k 96.060 3.940 99.480 0.520 49.61 224 0.900 bicubic
294 swinv2_base_window8_256.ms_in1k 96.060 3.940 99.410 0.590 87.92 256 0.900 bicubic
vit_small_r26_s32_384.augreg_in21k_ft_in1k 96.050 3.950 99.550 0.450 36.47 384 1.000 bicubic
295 resnext101_32x4d.fb_swsl_ig1b_ft_in1k 96.040 3.960 99.540 0.460 44.18 224 0.875 bilinear
296 maxvit_rmlp_tiny_rw_256.sw_in1k 96.040 3.960 99.410 0.590 29.15 256 0.950 bicubic
297 swin_s3_base_224.ms_in1k 96.040 3.960 99.350 0.650 71.13 224 0.900 bicubic
304 cs3se_edgenet_x.c2ns_in1k 96.000 4.000 99.430 0.570 50.72 320 1.000 bicubic
305 cait_xs24_384.fb_dist_in1k 96.000 4.000 99.420 0.580 26.67 384 1.000 bicubic
306 coat_lite_medium.in1k 96.000 4.000 99.350 0.650 44.57 224 0.900 bicubic
307 repvit_m2_3.dist_450e_in1k 95.990 4.010 99.400 0.600 23.69 224 0.950 bicubic
308 vit_small_patch16_384.augreg_in21k_ft_in1k 95.980 4.020 99.590 0.410 22.20 384 1.000 bicubic
309 mvitv2_base.fb_in1k 95.980 4.020 99.330 0.670 51.47 224 0.900 bicubic
310 tf_efficientnet_b5.ra_in1k 95.970 4.030 99.450 99.460 0.550 0.540 30.39 456 0.934 bicubic
311 convnext_small.fb_in1k 95.970 4.030 99.430 0.570 50.22 288 1.000 bicubic
312 fastvit_ma36.apple_in1k 95.970 4.030 99.360 0.640 44.07 256 0.950 bicubic
313 xcit_small_12_p8_224.fb_dist_in1k 95.960 4.040 99.430 0.570 26.21 224 1.000 bicubic
314 flexivit_base.600ep_in1k 95.960 4.040 99.420 0.580 86.59 240 0.950 bicubic
315 resnetrs152.tf_in1k 95.960 4.040 99.380 0.620 86.62 320 1.000 bicubic
316 flexivit_base.300ep_in1k fastvit_sa36.apple_dist_in1k 95.960 4.040 99.370 0.630 86.59 31.53 240 256 0.950 0.900 bicubic
317 maxvit_rmlp_small_rw_224.sw_in1k 95.960 4.040 99.350 0.650 64.90 224 0.900 bicubic
318 repvgg_d2se.rvgg_in1k 95.950 4.050 99.470 0.530 133.33 320 1.000 bilinear
319 flexivit_base.300ep_in1k 95.950 4.050 99.370 0.630 86.59 240 0.950 bicubic
320 pvt_v2_b5.in1k 95.940 4.060 99.390 0.610 81.96 224 0.900 bicubic
321 resnext101_32x8d.fb_wsl_ig1b_ft_in1k 95.940 4.060 99.380 0.620 88.79 224 0.875 bilinear
322 eca_nfnet_l1.ra2_in1k 95.930 4.070 99.490 0.510 41.41 320 1.000 bicubic
323 pvt_v2_b4.in1k 95.920 4.080 99.360 0.640 62.56 224 0.900 bicubic
324 inception_next_base.sail_in1k 95.920 4.080 99.220 0.780 86.67 224 0.950 bicubic
325 gcvit_small.in1k 95.910 4.090 99.280 0.720 51.09 224 0.875 bicubic
326 vit_base_patch32_384.augreg_in21k_ft_in1k 95.900 4.100 99.440 0.560 88.30 384 1.000 bicubic
327 focalnet_base_srf.ms_in1k 95.900 4.100 99.340 0.660 88.15 224 0.900 bicubic
339 xcit_medium_24_p8_224.fb_in1k 95.860 4.140 99.080 0.920 84.32 224 1.000 bicubic
340 deit3_small_patch16_224.fb_in22k_ft_in1k 95.830 4.170 99.390 0.610 22.06 224 1.000 bicubic
341 convnextv2_tiny.fcmae_ft_in1k 95.830 4.170 99.340 0.660 28.64 288 1.000 bicubic
342 crossvit_15_dagger_408.in1k efficientvit_b3.r256_in1k 95.830 4.170 99.320 99.220 0.680 0.780 28.50 48.65 408 256 1.000 bicubic
343 swin_s3_small_224.ms_in1k 95.830 4.170 99.200 0.800 49.74 224 0.900 bicubic
344 focalnet_base_lrf.ms_in1k 95.830 4.170 99.180 0.820 88.75 224 0.900 bicubic
345 resnext101_64x4d.tv_in1k 95.820 4.180 99.320 0.680 83.46 224 0.875 bilinear
346 crossvit_15_dagger_408.in1k 95.820 4.180 99.310 0.690 28.50 408 1.000 bicubic
347 tresnet_v2_l.miil_in21k_ft_in1k 95.820 4.180 99.290 0.710 46.17 224 0.875 bilinear
348 pit_b_distilled_224.in1k 95.820 4.180 99.210 0.790 74.79 224 0.900 bicubic
349 maxvit_tiny_tf_224.in1k 95.810 4.190 99.260 0.740 30.92 224 0.950 bicubic
regnety_320.seer_ft_in1k 95.800 4.200 99.390 0.610 145.05 384 1.000 bicubic
350 edgenext_base.usi_in1k 95.790 4.210 99.570 0.430 18.51 320 1.000 bicubic
351 regnety_320.seer_ft_in1k 95.790 4.210 99.390 0.610 145.05 384 1.000 bicubic
352 xcit_small_24_p16_224.fb_dist_in1k 95.790 4.210 99.350 0.650 47.67 224 1.000 bicubic
353 convnextv2_nano.fcmae_ft_in22k_in1k_384 95.790 4.210 99.300 0.700 15.62 384 1.000 bicubic
354 regnety_064.ra3_in1k 95.790 4.210 99.290 0.710 30.58 288 1.000 bicubic
370 hrnet_w18_ssld.paddle_in1k 95.710 4.290 99.340 0.660 21.30 288 1.000 bilinear
371 swin_small_patch4_window7_224.ms_in1k 95.710 4.290 99.290 0.710 49.61 224 0.900 bicubic
372 swinv2_cr_small_ns_224.sw_in1k 95.710 4.290 99.290 0.710 49.70 224 0.900 bicubic
373 tiny_vit_11m_224.dist_in22k_ft_in1k 95.710 4.290 99.260 0.740 11.00 224 0.950 bicubic
374 twins_svt_large.in1k 95.700 4.300 99.370 0.630 99.27 224 0.900 bicubic
375 dm_nfnet_f0.dm_in1k 95.690 4.310 99.350 0.650 71.49 256 0.900 bicubic
376 xception65.ra3_in1k 95.690 4.310 99.320 0.680 39.92 299 0.940 bicubic
377 caformer_s18.sail_in1k 95.680 4.320 99.290 0.710 26.34 224 1.000 bicubic
378 inception_next_small.sail_in1k 95.680 4.320 99.250 0.750 49.37 224 0.875 bicubic
379 cait_s24_224.fb_dist_in1k 95.660 4.340 99.390 0.610 46.92 224 1.000 bicubic
380 gcvit_tiny.in1k 95.660 4.340 99.330 0.670 28.22 224 0.875 bicubic
381 xception65p.ra3_in1k 95.660 4.340 99.270 0.730 39.82 299 0.940 bicubic
382 tiny_vit_21m_224.in1k 95.650 4.350 99.250 0.750 21.20 224 0.950 bicubic
383 regnetz_c16_evos.ch_in1k 95.640 4.360 99.420 0.580 13.49 320 0.950 bicubic
384 deit_base_patch16_384.fb_in1k 95.640 4.360 99.240 0.760 86.86 384 1.000 bicubic
385 resnext50_32x4d.fb_swsl_ig1b_ft_in1k 95.630 4.370 99.440 0.560 25.03 224 0.875 bilinear
386 ecaresnet101d.miil_in1k 95.630 4.370 99.410 0.590 44.57 288 0.950 bicubic
387 focalnet_small_srf.ms_in1k 95.630 4.370 99.290 0.710 49.89 224 0.900 bicubic
388 coatnet_1_rw_224.sw_in1k 95.610 95.620 4.390 4.380 99.220 0.780 41.72 224 0.950 bicubic
389 fastvit_sa36.apple_in1k 95.610 4.390 99.320 0.680 31.53 256 0.900 bicubic
390 efficientformer_l7.snap_dist_in1k 95.600 4.400 99.440 0.560 82.23 224 0.950 bicubic
391 deit3_small_patch16_384.fb_in1k 95.600 4.400 99.390 0.610 22.21 384 1.000 bicubic
392 tf_efficientnetv2_b3.in21k_ft_in1k 95.600 4.400 99.280 0.720 14.36 300 0.900 bicubic
393 repvit_m2_3.dist_300e_in1k 95.590 4.410 99.390 0.610 23.69 224 0.950 bicubic
394 tf_efficientnet_b4.aa_in1k 95.590 4.410 99.330 0.670 19.34 380 0.922 bicubic
395 sequencer2d_m.in1k 95.580 4.420 99.270 0.730 38.31 224 0.875 bicubic
396 resnet101.a1h_in1k 95.580 4.420 99.250 0.750 44.55 288 1.000 bicubic
397 efficientvit_b2.r288_in1k 95.580 4.420 99.220 0.780 24.33 288 1.000 bicubic
398 resnetv2_101.a1h_in1k 95.570 4.430 99.370 0.630 44.54 288 1.000 bicubic
399 resnest101e.in1k 95.570 4.430 99.270 0.730 48.28 256 0.875 bilinear
400 regnety_320.tv2_in1k 95.560 4.440 99.390 0.610 145.05 224 0.965 bicubic
401 twins_svt_base.in1k 95.560 4.440 99.230 0.770 56.07 224 0.900 bicubic
402 fastvit_sa24.apple_dist_in1k 95.550 4.450 99.310 0.690 21.55 256 0.900 bicubic
403 rexnet_300.nav_in1k 95.540 4.460 99.320 0.680 34.71 224 0.875 bicubic
404 nest_base_jx.goog_in1k 95.540 4.460 99.290 0.710 67.72 224 0.875 bicubic
405 nest_small_jx.goog_in1k 95.540 4.460 99.220 0.780 38.35 224 0.875 bicubic
406 efficientvit_b3.r224_in1k 95.540 4.460 99.190 0.810 48.65 224 0.950 bicubic
407 efficientnet_b4.ra2_in1k 95.530 4.470 99.400 0.600 19.34 384 1.000 bicubic
408 resnext101_64x4d.c1_in1k 95.530 4.470 99.290 0.710 83.46 288 1.000 bicubic
409 tf_efficientnet_b2.ns_jft_in1k 95.520 4.480 99.340 0.660 9.11 260 0.890 bicubic
410 tresnet_xl.miil_in1k_448 95.510 4.490 99.340 0.660 78.44 448 0.875 bilinear
coatnet_rmlp_1_rw_224.sw_in1k 95.500 4.500 99.250 0.750 41.69 224 0.950 bicubic
411 regnety_040.ra3_in1k 95.490 4.510 99.420 0.580 20.65 288 1.000 bicubic
412 tf_efficientnet_b4.ap_in1k 95.490 4.510 99.390 0.610 19.34 380 0.922 bicubic
413 xcit_tiny_24_p16_384.fb_dist_in1k 95.490 4.510 99.360 0.640 12.12 384 1.000 bicubic
414 coatnet_rmlp_1_rw_224.sw_in1k 95.490 4.510 99.250 0.750 41.69 224 0.950 bicubic
415 tf_efficientnet_b4.in1k 95.480 4.520 99.270 0.730 19.34 380 0.922 bicubic
416 twins_pcpvt_base.in1k 95.470 4.530 99.390 0.610 43.83 224 0.900 bicubic
417 pvt_v2_b3.in1k 95.470 4.530 99.310 0.690 45.24 224 0.900 bicubic
445 convformer_s18.sail_in1k 95.330 4.670 99.150 0.850 26.77 224 1.000 bicubic
446 resnetv2_101x1_bit.goog_in21k_ft_in1k 95.320 4.680 99.370 0.630 44.54 448 1.000 bilinear
447 resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k 95.320 4.680 99.320 0.680 88.79 224 0.875 bilinear
448 rexnetr_200.sw_in12k_ft_in1k 95.310 4.690 99.480 99.470 0.520 0.530 16.52 288 1.000 bicubic
449 resnext101_32x8d.tv2_in1k 95.300 4.700 99.360 0.640 88.79 224 0.965 bilinear
450 regnety_080_tv.tv2_in1k 95.300 4.700 99.230 0.770 39.38 224 0.965 bicubic
451 vit_relpos_medium_patch16_cls_224.sw_in1k 95.300 4.700 99.100 0.900 38.76 224 0.900 bicubic
452 resnetaa50d.sw_in12k_ft_in1k 95.290 4.710 99.380 0.620 25.58 288 1.000 bicubic
453 gc_efficientnetv2_rw_t.agc_in1k 95.290 4.710 99.220 0.780 13.68 288 1.000 bicubic
454 fastvit_sa24.apple_in1k 95.280 4.720 99.310 0.690 21.55 256 0.900 bicubic
455 cs3darknet_x.c2ns_in1k 95.280 4.720 99.290 0.710 35.05 288 1.000 bicubic
456 regnetx_320.tv2_in1k 95.280 4.720 99.290 0.710 107.81 224 0.965 bicubic
457 repvit_m1_5.dist_450e_in1k 95.280 4.720 99.230 0.770 14.64 224 0.950 bicubic
458 mobilevitv2_175.cvnets_in22k_ft_in1k_384 95.260 4.740 99.380 0.620 14.25 384 1.000 bicubic
459 flexivit_small.600ep_in1k 95.260 4.740 99.160 0.840 22.06 240 0.950 bicubic
460 resnetrs101.tf_in1k 95.250 4.750 99.210 0.790 63.62 288 0.940 bicubic
462 convnext_tiny_hnf.a2h_in1k 95.250 4.750 98.980 1.020 28.59 288 1.000 bicubic
463 cait_xxs36_384.fb_dist_in1k 95.240 4.760 99.320 0.680 17.37 384 1.000 bicubic
464 vit_large_patch32_384.orig_in21k_ft_in1k 95.240 4.760 99.320 0.680 306.63 384 1.000 bicubic
465 tiny_vit_11m_224.in1k 95.240 4.760 99.230 0.770 11.00 224 0.950 bicubic
466 wide_resnet101_2.tv2_in1k 95.240 4.760 99.200 0.800 126.89 224 0.965 bilinear
467 vit_base_patch32_clip_224.laion2b_ft_in12k_in1k 95.230 4.770 99.240 0.760 88.22 224 0.900 bicubic
468 pvt_v2_b2_li.in1k 95.220 4.780 99.260 0.740 22.55 224 0.900 bicubic
469 efficientvit_b2.r256_in1k 95.220 4.780 99.130 0.870 24.33 256 1.000 bicubic
470 resnetv2_50d_gn.ah_in1k 95.220 4.780 99.030 0.970 25.57 288 1.000 bicubic
471 convnext_tiny.fb_in1k 95.210 4.790 99.310 0.690 28.59 288 1.000 bicubic
472 efficientformer_l3.snap_dist_in1k 95.210 4.790 99.310 0.690 31.41 224 0.950 bicubic
479 coat_small.in1k 95.190 4.810 99.280 0.720 21.69 224 0.900 bicubic
480 focalnet_tiny_lrf.ms_in1k 95.190 4.810 99.220 0.780 28.65 224 0.900 bicubic
481 vit_relpos_medium_patch16_224.sw_in1k 95.190 4.810 99.220 0.780 38.75 224 0.900 bicubic
482 flexivit_small.1200ep_in1k 95.180 95.190 4.820 4.810 99.180 0.820 22.06 240 0.950 bicubic
483 poolformerv2_m48.sail_in1k 95.180 4.820 99.160 0.840 73.35 224 1.000 bicubic
484 crossvit_18_dagger_240.in1k 95.180 4.820 99.120 0.880 44.27 240 0.875 bicubic
485 regnety_160.tv2_in1k 95.160 4.840 99.250 0.750 83.59 224 0.965 bicubic
486 efficientnet_b3.ra2_in1k repvit_m1_5.dist_300e_in1k 95.150 4.850 99.210 99.270 0.790 0.730 12.23 14.64 320 224 1.000 0.950 bicubic
487 flexivit_small.300ep_in1k 95.150 4.850 99.150 0.850 22.06 240 0.950 bicubic
488 nasnetalarge.tf_in1k 95.150 4.850 99.130 0.870 88.75 331 0.911 bicubic
489 resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k 95.140 4.860 99.300 0.700 44.18 224 0.875 bilinear
490 convnextv2_nano.fcmae_ft_in1k 95.140 4.860 99.220 0.780 15.62 288 1.000 bicubic
491 efficientnet_b3.ra2_in1k 95.140 4.860 99.210 0.790 12.23 320 1.000 bicubic
492 vit_relpos_base_patch16_224.sw_in1k 95.130 4.870 99.290 0.710 86.43 224 0.900 bicubic
493 wide_resnet50_2.racm_in1k 95.130 4.870 99.260 0.740 68.88 288 0.950 bicubic
vit_small_r26_s32_224.augreg_in21k_ft_in1k 95.130 4.870 99.220 0.780 36.43 224 0.900 bicubic
494 resnet61q.ra2_in1k 95.130 4.870 99.080 0.920 36.85 288 1.000 bicubic
495 xcit_medium_24_p16_224.fb_in1k 95.130 4.870 98.940 1.060 84.40 224 1.000 bicubic
496 vit_small_r26_s32_224.augreg_in21k_ft_in1k 95.120 4.880 99.220 0.780 36.43 224 0.900 bicubic
497 fbnetv3_g.ra2_in1k 95.120 4.880 99.200 0.800 16.62 288 0.950 bilinear
498 tf_efficientnetv2_b3.in1k 95.120 4.880 99.200 0.800 14.36 300 0.904 bicubic
efficientformerv2_s2.snap_dist_in1k 95.120 4.880 99.120 0.880 12.71 224 0.950 bicubic
499 cs3sedarknet_l.c2ns_in1k 95.110 4.890 99.210 0.790 21.91 288 0.950 bicubic
500 efficientformerv2_s2.snap_dist_in1k 95.110 4.890 99.120 0.880 12.71 224 0.950 bicubic
501 convit_base.fb_in1k 95.100 4.900 99.150 0.850 86.54 224 0.875 bicubic
502 inception_next_tiny.sail_in1k 95.100 4.900 99.140 0.860 28.06 224 0.875 bicubic
503 poolformer_m48.sail_in1k 95.100 4.900 99.100 0.900 73.47 224 0.950 bicubic
504 coatnet_rmlp_nano_rw_224.sw_in1k 95.090 4.910 99.170 0.830 15.15 224 0.900 bicubic
505 resnet152.a1_in1k 95.090 4.910 98.990 1.010 60.19 288 1.000 bicubic
511 crossvit_base_240.in1k 95.070 4.930 98.980 1.020 105.03 240 0.875 bicubic
512 efficientnetv2_rw_t.ra2_in1k 95.060 4.940 99.220 0.780 13.65 288 1.000 bicubic
513 vit_relpos_medium_patch16_rpn_224.sw_in1k 95.060 4.940 99.200 0.800 38.73 224 0.900 bicubic
xception41p.ra3_in1k 95.060 4.940 99.160 0.840 26.91 299 0.940 bicubic
514 xcit_small_24_p16_224.fb_in1k 95.060 4.940 99.070 0.930 47.67 224 1.000 bicubic
515 focalnet_tiny_srf.ms_in1k xception41p.ra3_in1k 95.050 4.950 99.280 99.160 0.720 0.840 28.43 26.91 224 299 0.900 0.940 bicubic
516 poolformerv2_m36.sail_in1k 95.050 4.950 99.150 0.850 56.08 224 1.000 bicubic
517 coatnet_nano_rw_224.sw_in1k 95.050 4.950 99.140 0.860 15.14 224 0.900 bicubic
518 mobilevitv2_200.cvnets_in22k_ft_in1k 95.050 4.950 99.080 0.920 18.45 256 0.888 bicubic
519 resnet152.tv2_in1k focalnet_tiny_srf.ms_in1k 95.040 4.960 99.180 99.280 0.820 0.720 60.19 28.43 224 0.965 0.900 bilinear bicubic
520 resnet152.tv2_in1k 95.040 4.960 99.170 0.830 60.19 224 0.965 bilinear
521 poolformer_m36.sail_in1k 95.030 4.970 99.100 0.900 56.17 224 0.950 bicubic
522 swinv2_tiny_window8_256.ms_in1k 95.020 4.980 99.170 0.830 28.35 256 0.900 bicubic
523 gcvit_xtiny.in1k 95.020 4.980 99.160 0.840 19.98 224 0.875 bicubic
524 deit_base_patch16_224.fb_in1k 95.020 4.980 98.970 1.030 86.57 224 0.900 bicubic
525 pvt_v2_b2.in1k 95.010 4.990 99.140 0.860 25.36 224 0.900 bicubic
526 halo2botnet50ts_256.a1h_in1k 95.010 4.990 99.040 99.050 0.960 0.950 22.64 256 0.950 bicubic
527 ecaresnet101d_pruned.miil_in1k 95.000 5.000 99.230 0.770 24.88 288 0.950 bicubic
528 seresnext50_32x4d.racm_in1k 95.000 5.000 99.200 99.190 0.800 0.810 27.56 288 0.950 bicubic
529 resnext50_32x4d.a1h_in1k 94.990 5.010 99.190 0.810 25.03 288 1.000 bicubic
530 crossvit_15_dagger_240.in1k 94.990 5.010 99.160 0.840 28.21 240 0.875 bicubic
531 coatnet_bn_0_rw_224.sw_in1k 94.980 5.020 99.240 99.230 0.760 0.770 27.44 224 0.950 bicubic
532 visformer_small.in1k 94.970 5.030 99.210 0.790 40.22 224 0.900 bicubic
533 convmixer_1536_20.in1k 94.970 5.030 99.170 0.830 51.63 224 0.960 bicubic
534 tf_efficientnet_b3.ap_in1k 94.970 5.030 99.110 0.890 12.23 300 0.904 bicubic
556 tf_efficientnet_b1.ns_jft_in1k 94.860 5.140 99.250 0.750 7.79 240 0.882 bicubic
557 coatnext_nano_rw_224.sw_in1k 94.850 5.150 99.200 0.800 14.70 224 0.900 bicubic
558 resnetaa50.a1h_in1k 94.850 5.150 99.120 0.880 25.56 288 1.000 bicubic
559 efficientvit_b2.r224_in1k 94.850 5.150 98.970 1.030 24.33 224 0.950 bicubic
560 resnet101.tv2_in1k 94.840 5.160 99.030 0.970 44.55 224 0.965 bilinear
561 edgenext_small.usi_in1k 94.830 5.170 99.410 0.590 5.59 320 1.000 bicubic
562 vit_base_patch16_rpn_224.sw_in1k 94.830 94.820 5.170 5.180 99.090 0.910 86.54 224 0.900 bicubic
563 xcit_small_12_p16_224.fb_in1k 94.820 5.180 99.060 0.940 26.25 224 1.000 bicubic
564 wide_resnet50_2.tv2_in1k 94.810 5.190 99.260 0.740 68.88 224 0.965 bilinear
565 resnet50d.ra2_in1k 94.810 5.190 99.230 0.770 25.58 288 0.950 bicubic
577 seresnet50.ra2_in1k 94.740 5.260 99.110 0.890 28.09 288 0.950 bicubic
578 legacy_senet154.in1k 94.730 5.270 99.100 0.900 115.09 224 0.875 bilinear
579 regnetx_080.tv2_in1k 94.730 5.270 99.030 0.970 39.57 224 0.965 bicubic
580 resnet152s.gluon_in1k repvit_m3.dist_in1k 94.720 5.280 99.060 0.940 60.32 10.68 224 0.875 0.950 bicubic
581 halonet50ts.a1h_in1k 94.720 5.280 98.830 1.170 22.73 256 0.940 bicubic
582 resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k resnet152s.gluon_in1k 94.710 5.290 99.240 99.060 0.760 0.940 25.03 60.32 224 0.875 bilinear bicubic
583 resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k 94.700 5.300 99.240 0.760 25.03 224 0.875 bilinear
584 poolformerv2_s36.sail_in1k 94.700 5.300 99.230 0.770 30.79 224 1.000 bicubic
585 resnest50d_4s2x40d.in1k 94.700 5.300 99.130 0.870 30.42 224 0.875 bicubic
586 crossvit_15_240.in1k 94.700 5.300 99.080 0.920 27.53 240 0.875 bicubic
587 senet154.gluon_in1k 94.700 5.300 98.970 1.030 115.09 224 0.875 bicubic
588 xcit_tiny_12_p8_224.fb_dist_in1k 94.690 5.310 99.180 0.820 6.71 224 1.000 bicubic
589 pit_s_distilled_224.in1k 94.690 5.310 99.150 0.850 24.04 224 0.900 bicubic
resnetv2_50.a1h_in1k 94.690 5.310 99.090 0.910 25.55 288 1.000 bicubic
590 deit3_small_patch16_224.fb_in1k 94.690 5.310 98.760 1.240 22.06 224 0.900 bicubic
cs3darknet_l.c2ns_in1k 94.680 5.320 99.230 0.770 21.16 288 0.950 bicubic
591 vit_relpos_small_patch16_224.sw_in1k 94.680 5.320 99.110 0.890 21.98 224 0.900 bicubic
592 fastvit_sa12.apple_dist_in1k 94.680 5.320 99.100 0.900 11.58 256 0.900 bicubic
593 resnetv2_50.a1h_in1k 94.680 5.320 99.090 0.910 25.55 288 1.000 bicubic
594 mobilevitv2_150.cvnets_in22k_ft_in1k 94.680 5.320 98.920 1.080 10.59 256 0.888 bicubic
595 ecaresnet50d.miil_in1k 94.670 5.330 99.260 0.740 25.58 288 0.950 bicubic
596 cs3darknet_l.c2ns_in1k 94.670 5.330 99.230 0.770 21.16 288 0.950 bicubic
597 efficientnet_el.ra_in1k 94.670 5.330 99.130 0.870 10.59 300 0.904 bicubic
598 regnetz_b16.ra3_in1k 94.670 5.330 99.130 0.870 9.72 288 1.000 bicubic
599 rexnet_200.nav_in1k 94.670 5.330 99.090 0.910 16.37 224 0.875 bicubic
600 tresnet_m.miil_in1k_448 94.660 5.340 99.150 0.850 31.39 448 0.875 bilinear
601 seresnext101_64x4d.gluon_in1k 94.650 5.350 98.970 1.030 88.23 224 0.875 bicubic
602 tiny_vit_5m_224.dist_in22k_ft_in1k 94.630 5.370 99.140 0.860 5.39 224 0.950 bicubic
603 resnet50_gn.a1h_in1k 94.620 5.380 99.150 0.850 25.56 288 0.950 bicubic
604 swin_tiny_patch4_window7_224.ms_in1k 94.620 5.380 99.120 0.880 28.29 224 0.900 bicubic
605 poolformer_s36.sail_in1k 94.620 5.380 99.050 0.950 30.86 224 0.900 bicubic
607 twins_pcpvt_small.in1k 94.600 5.400 99.150 0.850 24.11 224 0.900 bicubic
608 deit_small_distilled_patch16_224.fb_in1k 94.600 5.400 99.100 0.900 22.44 224 0.900 bicubic
609 resnet50.tv2_in1k 94.600 5.400 99.090 0.910 25.56 224 0.965 bilinear
610 efficientnet_b3_pruned.in1k 94.600 5.400 99.070 0.930 9.86 300 0.904 bicubic
611 resnest50d.in1k 94.600 5.400 99.030 0.970 27.48 224 0.875 bilinear
612 vit_small_patch32_384.augreg_in21k_ft_in1k 94.590 5.410 99.140 0.860 22.92 384 1.000 bicubic
efficientnet_b3_pruned.in1k 94.590 5.410 99.070 0.930 9.86 300 0.904 bicubic
613 pit_s_224.in1k 94.590 5.410 98.930 1.070 23.46 224 0.900 bicubic
614 crossvit_small_240.in1k 94.580 5.420 99.110 99.120 0.890 0.880 26.86 240 0.875 bicubic
615 convnext_nano_ols.d1h_in1k 94.580 5.420 99.050 0.950 15.65 288 1.000 bicubic
616 ecaresnet50t.a2_in1k 94.570 5.430 99.040 0.960 25.57 288 1.000 bicubic
617 repvgg_b3.rvgg_in1k 94.570 5.430 98.910 1.090 123.09 224 0.875 bilinear
620 resmlp_36_224.fb_distilled_in1k 94.560 5.440 99.160 0.840 44.69 224 0.875 bicubic
621 convnextv2_pico.fcmae_ft_in1k 94.560 5.440 99.140 0.860 9.07 288 0.950 bicubic
622 vit_srelpos_small_patch16_224.sw_in1k 94.550 5.450 99.150 0.850 21.97 224 0.900 bicubic
623 repvit_m1_1.dist_450e_in1k 94.550 5.450 99.090 0.910 8.80 224 0.950 bicubic
624 gernet_m.idstcv_in1k 94.540 5.460 98.920 1.080 21.14 224 0.875 bilinear
625 ecaresnetlight.miil_in1k 94.530 5.470 99.180 0.820 30.16 288 0.950 bicubic
res2net101d.in1k 94.530 5.470 98.980 1.020 45.23 224 0.875 bilinear
626 regnety_320.pycls_in1k 94.520 5.480 99.170 0.830 145.05 224 0.875 bicubic
627 xcit_tiny_12_p16_384.fb_dist_in1k 94.520 5.480 99.170 0.830 6.72 384 1.000 bicubic
628 res2net101d.in1k 94.520 5.480 98.980 1.020 45.23 224 0.875 bilinear
629 mobilevitv2_200.cvnets_in1k 94.520 5.480 98.970 1.030 18.45 256 0.888 bicubic
630 haloregnetz_b.ra3_in1k 94.520 5.480 98.960 1.040 11.68 224 0.940 bicubic
631 regnetx_032.tv2_in1k 94.520 5.480 98.910 1.090 15.30 224 0.965 bicubic
sehalonet33ts.ra2_in1k 94.520 5.480 98.770 1.230 13.69 256 0.940 bicubic
632 resnet50.c1_in1k 94.510 5.490 99.070 0.930 25.56 288 1.000 bicubic
633 resnet50.b1k_in1k 94.510 5.490 99.000 1.000 25.56 288 1.000 bicubic
634 sehalonet33ts.ra2_in1k 94.510 5.490 98.760 1.240 13.69 256 0.940 bicubic
635 repvgg_b3g4.rvgg_in1k 94.500 5.500 99.020 0.980 83.83 224 0.875 bilinear
636 gcresnext50ts.ch_in1k 94.490 5.510 99.010 0.990 15.67 288 1.000 bicubic
637 ese_vovnet39b.ra_in1k 94.480 5.520 99.060 0.940 24.57 288 0.950 bicubic
643 seresnet50.a2_in1k 94.450 5.550 98.890 1.110 28.09 288 1.000 bicubic
644 vit_base_patch32_clip_224.openai_ft_in1k 94.440 5.560 99.180 0.820 88.22 224 0.900 bicubic
645 convmixer_768_32.in1k 94.440 5.560 99.110 0.890 21.11 224 0.960 bicubic
646 vit_base_patch16_384.augreg_in1k 94.440 5.560 99.020 99.030 0.980 0.970 86.86 384 1.000 bicubic
647 resnet152.a3_in1k 94.440 5.560 98.880 1.120 60.19 224 0.950 bicubic
648 seresnext101_32x4d.gluon_in1k 94.430 5.570 99.090 0.910 48.96 224 0.875 bicubic
649 fastvit_sa12.apple_in1k 94.430 5.570 99.030 0.970 11.58 256 0.900 bicubic
650 resnet152d.gluon_in1k 94.430 5.570 99.000 1.000 60.21 224 0.875 bicubic
651 regnety_016.tv2_in1k 94.410 5.590 99.040 0.960 11.20 224 0.965 bicubic
652 levit_256.fb_dist_in1k 94.400 5.600 99.060 0.940 18.89 224 0.900 bicubic
653 levit_conv_256.fb_dist_in1k 94.400 5.600 99.060 0.940 18.89 224 0.900 bicubic
654 vit_base_patch32_224.augreg_in21k_ft_in1k 94.400 5.600 99.060 0.940 88.22 224 0.900 bicubic
655 resnext50d_32x4d.bt_in1k 94.400 5.600 99.050 0.950 25.05 288 0.950 bicubic
656 repvit_m2.dist_in1k 94.400 5.600 99.040 0.960 8.80 224 0.950 bicubic
657 resnet50d.a1_in1k 94.400 5.600 98.790 1.210 25.58 288 1.000 bicubic
658 poolformer_s24.sail_in1k 94.390 5.610 99.060 0.940 21.39 224 0.900 bicubic
659 nf_resnet50.ra2_in1k 94.380 5.620 99.070 0.930 25.56 288 0.940 bicubic
670 resnext101_64x4d.gluon_in1k 94.350 5.650 98.880 1.120 83.46 224 0.875 bicubic
671 resmlp_24_224.fb_distilled_in1k 94.330 5.670 99.090 0.910 30.02 224 0.875 bicubic
672 resnext50_32x4d.ra_in1k 94.330 5.670 99.030 0.970 25.03 288 0.950 bicubic
673 resnet50.fb_ssl_yfcc100m_ft_in1k 94.320 94.310 5.680 5.690 99.150 0.850 25.56 224 0.875 bilinear
674 sebotnet33ts_256.a1h_in1k 94.310 5.690 98.600 1.400 13.70 256 0.940 bicubic
675 ecaresnet50d_pruned.miil_in1k 94.300 5.700 99.200 0.800 19.94 288 0.950 bicubic
676 resnet50.b2k_in1k 94.300 5.700 98.930 1.070 25.56 288 1.000 bicubic
677 tf_efficientnet_b3.in1k 94.290 5.710 99.100 0.900 12.23 300 0.904 bicubic
678 rexnet_150.nav_in1k 94.280 5.720 99.090 0.910 9.73 224 0.875 bicubic
679 fastvit_s12.apple_dist_in1k 94.280 5.720 98.980 1.020 9.47 256 0.900 bicubic
680 res2net50d.in1k 94.280 5.720 98.860 1.140 25.72 224 0.875 bilinear
681 rexnet_150.nav_in1k repvit_m1_0.dist_450e_in1k 94.270 5.730 99.090 99.040 0.910 0.960 9.73 7.30 224 0.875 0.950 bicubic
682 resnet50.c2_in1k 94.270 5.730 99.040 0.960 25.56 288 1.000 bicubic
683 tf_efficientnet_b2.ap_in1k 94.270 5.730 98.950 1.050 9.11 260 0.890 bicubic
684 resmlp_big_24_224.fb_in1k 94.270 5.730 98.820 1.180 129.14 224 0.875 bicubic
688 cspresnext50.ra_in1k 94.240 5.760 99.050 0.950 20.57 256 0.887 bilinear
689 xcit_tiny_24_p16_224.fb_dist_in1k 94.240 5.760 98.960 1.040 12.12 224 1.000 bicubic
690 regnetx_320.pycls_in1k 94.230 5.770 99.050 0.950 107.81 224 0.875 bicubic
691 efficientvit_b1.r288_in1k 94.230 5.770 98.950 1.050 9.10 288 1.000 bicubic
692 mobilevitv2_175.cvnets_in1k 94.230 5.770 98.930 1.070 14.25 256 0.888 bicubic
693 mixnet_xl.ra_in1k 94.230 5.770 98.820 1.180 11.90 224 0.875 bicubic
694 tf_efficientnet_b2.aa_in1k 94.220 5.780 99.040 0.960 9.11 260 0.890 bicubic
696 resnext50_32x4d.a2_in1k 94.220 5.780 98.750 1.250 25.03 288 1.000 bicubic
697 maxvit_rmlp_pico_rw_256.sw_in1k 94.210 5.790 99.000 1.000 7.52 256 0.950 bicubic
698 darknetaa53.c2ns_in1k 94.210 5.790 98.950 1.050 36.02 288 1.000 bilinear
699 resnet50.a1h_in1k 94.210 94.200 5.790 5.800 98.920 1.080 25.56 224 1.000 bicubic
700 repvit_m1_1.dist_300e_in1k 94.180 5.820 99.080 0.920 8.80 224 0.950 bicubic
701 resnet101s.gluon_in1k 94.180 5.820 99.010 0.990 44.67 224 0.875 bicubic
702 resnet101d.gluon_in1k 94.180 5.820 98.940 1.060 44.57 224 0.875 bicubic
seresnext50_32x4d.gluon_in1k 94.180 5.820 98.920 1.080 27.56 224 0.875 bicubic
703 resnetblur50.bt_in1k 94.170 5.830 99.010 0.990 25.56 288 0.950 bicubic
704 seresnext50_32x4d.gluon_in1k 94.170 5.830 98.920 1.080 27.56 224 0.875 bicubic
705 seresnet50.a1_in1k 94.160 5.840 98.850 1.150 28.09 288 1.000 bicubic
706 dpn92.mx_in1k 94.150 5.850 98.950 1.050 37.67 224 0.875 bicubic
707 regnety_064.pycls_in1k 94.130 5.870 99.030 0.970 30.58 224 0.875 bicubic
708 regnety_160.pycls_in1k 94.130 5.870 99.020 0.980 83.59 224 0.875 bicubic
709 resnext101_32x4d.gluon_in1k 94.130 5.870 98.940 1.060 44.18 224 0.875 bicubic
resnet50.a2_in1k 94.130 5.870 98.850 1.150 25.56 288 1.000 bicubic
710 legacy_seresnext101_32x4d.in1k 94.120 5.880 98.970 1.030 48.96 224 0.875 bilinear
711 resnet50.a2_in1k 94.120 5.880 98.850 1.150 25.56 288 1.000 bicubic
712 inception_resnet_v2.tf_ens_adv_in1k 94.120 5.880 98.790 1.210 55.84 299 0.897 bicubic
713 resnet50.ra_in1k cspdarknet53.ra_in1k 94.100 5.900 98.840 98.980 1.160 1.020 25.56 27.64 288 256 0.950 0.887 bicubic bilinear
714 cspdarknet53.ra_in1k fastvit_t12.apple_dist_in1k 94.090 94.100 5.910 5.900 98.980 98.950 1.020 1.050 27.64 7.55 256 0.887 0.900 bilinear bicubic
715 efficientnet_el_pruned.in1k 94.090 5.910 99.020 0.980 10.59 300 0.904 bicubic
716 tf_efficientnet_lite3.in1k 94.090 5.910 98.960 1.040 8.20 300 0.904 bilinear
717 efficientnet_el_pruned.in1k resnet50.ra_in1k 94.080 94.090 5.920 5.910 99.020 98.840 0.980 1.160 10.59 25.56 300 288 0.904 0.950 bicubic
718 tresnet_m.miil_in1k 94.080 5.920 98.830 1.170 31.39 224 0.875 bilinear
719 tf_efficientnetv2_b2.in1k 94.060 5.940 98.930 1.070 10.10 260 0.890 bicubic
720 gcvit_xxtiny.in1k 94.050 5.950 99.080 0.920 12.00 224 0.875 bicubic
730 resnet50.ram_in1k 94.000 6.000 98.880 1.120 25.56 288 0.950 bicubic
731 dla102x2.in1k 93.990 6.010 99.040 0.960 41.28 224 0.875 bilinear
732 deit_small_patch16_224.fb_in1k 93.990 6.010 98.960 1.040 22.05 224 0.900 bicubic
733 skresnext50_32x4d.ra_in1k 93.970 6.030 98.830 1.170 27.48 224 0.875 bicubic
734 resnet50.bt_in1k 93.960 6.040 98.930 1.070 25.56 288 0.950 bicubic
skresnext50_32x4d.ra_in1k 93.960 6.040 98.830 1.170 27.48 224 0.875 bicubic
735 efficientformer_l1.snap_dist_in1k 93.940 6.060 99.030 0.970 12.29 224 0.950 bicubic
736 ecaresnet26t.ra2_in1k 93.940 6.060 98.930 1.070 16.01 320 0.950 bicubic
737 dpn98.mx_in1k 93.930 6.070 98.910 1.090 61.57 224 0.875 bicubic
740 regnetx_160.pycls_in1k 93.910 6.090 99.090 0.910 54.28 224 0.875 bicubic
741 cait_xxs36_224.fb_dist_in1k 93.910 6.090 98.890 1.110 17.30 224 1.000 bicubic
742 vit_base_patch16_224.sam_in1k 93.890 6.110 98.890 1.110 86.57 224 0.900 bicubic
743 nf_regnet_b1.ra2_in1k 93.890 6.110 98.750 98.740 1.250 1.260 10.22 288 0.900 bicubic
744 regnety_080.pycls_in1k 93.880 6.120 99.000 1.000 39.18 224 0.875 bicubic
745 resnet152c.gluon_in1k fbnetv3_d.ra2_in1k 93.880 93.870 6.120 6.130 98.800 98.890 1.200 1.110 60.21 10.31 224 256 0.875 0.950 bicubic bilinear
fbnetv3_d.ra2_in1k 93.870 6.130 98.900 1.100 10.31 256 0.950 bilinear
746 cspresnet50.ra_in1k 93.870 6.130 98.870 1.130 21.62 256 0.887 bilinear
747 resnet152c.gluon_in1k 93.870 6.130 98.800 1.200 60.21 224 0.875 bicubic
748 ecaresnet50t.a3_in1k 93.860 6.140 98.850 1.150 25.57 224 0.950 bicubic
749 resnet101.a3_in1k 93.860 6.140 98.760 1.240 44.55 224 0.950 bicubic
750 xcit_tiny_24_p16_224.fb_in1k 93.850 6.150 98.750 1.250 12.12 224 1.000 bicubic
752 hrnet_w64.ms_in1k 93.830 6.170 98.940 1.060 128.06 224 0.875 bilinear
753 repvgg_b2g4.rvgg_in1k 93.830 6.170 98.930 1.070 61.76 224 0.875 bilinear
754 efficientnet_b2_pruned.in1k 93.800 6.200 98.910 1.090 8.31 260 0.890 bicubic
755 dla169.in1k 93.800 6.200 98.860 1.140 53.39 224 0.875 bilinear
756 tiny_vit_5m_224.in1k 93.790 6.210 98.940 1.060 5.39 224 0.950 bicubic
757 regnetx_080.pycls_in1k 93.790 6.210 98.910 1.090 39.57 224 0.875 bicubic
dla169.in1k 93.790 6.210 98.860 1.140 53.39 224 0.875 bilinear
758 dpn68b.ra_in1k 93.790 6.210 98.540 1.460 12.61 288 1.000 bicubic
759 resnext101_32x8d.tv_in1k 93.780 6.220 98.960 1.040 88.79 224 0.875 bilinear
760 dpn131.mx_in1k 93.780 6.220 98.850 1.150 79.25 224 0.875 bicubic
761 repvit_m1_0.dist_300e_in1k 93.760 6.240 98.920 1.080 7.30 224 0.950 bicubic
762 resnet101.gluon_in1k 93.760 6.240 98.700 1.300 44.55 224 0.875 bicubic
763 tf_efficientnet_b0.ns_jft_in1k 93.750 6.250 98.970 1.030 5.29 224 0.875 bicubic
764 convnextv2_femto.fcmae_ft_in1k 93.750 6.250 98.930 1.070 5.23 288 0.950 bicubic
765 xception65.tf_in1k 93.750 6.250 98.860 98.870 1.140 1.130 39.92 299 0.903 bicubic
766 efficientnet_em.ra2_in1k 93.730 6.270 98.930 1.070 6.90 240 0.882 bicubic
767 hrnet_w40.ms_in1k 93.730 6.270 98.800 1.200 57.56 224 0.875 bilinear
768 wide_resnet101_2.tv_in1k 93.720 6.280 98.810 1.190 126.89 224 0.875 bilinear
769 tf_efficientnet_b1.aa_in1k 93.720 6.280 98.800 1.200 7.79 240 0.882 bicubic
770 tf_efficientnet_b2.in1k 93.710 6.290 98.930 1.070 9.11 260 0.890 bicubic
771 tf_efficientnetv2_b1.in1k 93.710 6.290 98.820 1.180 8.14 240 0.882 bicubic
772 efficientvit_b1.r256_in1k 93.710 6.290 98.810 1.190 9.10 256 1.000 bicubic
773 levit_192.fb_dist_in1k 93.710 6.290 98.790 1.210 10.95 224 0.900 bicubic
774 levit_conv_192.fb_dist_in1k 93.710 6.290 98.790 1.210 10.95 224 0.900 bicubic
775 resnet101c.gluon_in1k 93.700 6.300 98.760 1.240 44.57 224 0.875 bicubic
776 fastvit_s12.apple_in1k 93.700 6.300 98.720 1.280 9.47 256 0.900 bicubic
777 regnetx_040.pycls_in1k 93.690 6.310 98.930 1.070 22.12 224 0.875 bicubic
resnet101c.gluon_in1k 93.690 6.310 98.760 1.240 44.57 224 0.875 bicubic
778 rexnet_130.nav_in1k 93.680 6.320 98.700 1.300 7.56 224 0.875 bicubic
779 resnext50_32x4d.gluon_in1k 93.670 6.330 98.690 1.310 25.03 224 0.875 bicubic
780 resmlp_36_224.fb_in1k 93.650 6.350 98.950 1.050 44.69 224 0.875 bicubic
781 mobileone_s4.apple_in1k 93.650 6.350 98.650 1.350 14.95 224 0.900 bilinear
782 regnetx_064.pycls_in1k 93.640 6.360 99.040 0.960 26.21 224 0.875 bicubic
783 resnet50.am_in1k 93.640 6.360 98.870 1.130 25.56 224 0.875 bicubic
784 regnety_040.pycls_in1k 93.630 6.370 98.950 1.050 20.65 224 0.875 bicubic
785 fbnetv3_b.ra2_in1k 93.630 6.370 98.910 1.090 8.60 256 0.950 bilinear
786 resnet50.am_in1k tf_efficientnet_b1.ap_in1k 93.630 6.370 98.870 98.800 1.130 1.200 25.56 7.79 224 240 0.875 0.882 bicubic
787 hrnet_w44.ms_in1k 93.620 6.380 98.960 1.040 67.06 224 0.875 bilinear
tf_efficientnet_b1.ap_in1k 93.620 6.380 98.800 1.200 7.79 240 0.882 bicubic
788 legacy_xception.tf_in1k 93.620 6.380 98.770 1.230 22.86 299 0.897 bicubic
789 resnet34d.ra2_in1k 93.600 6.400 98.760 1.240 21.82 288 0.950 bicubic
790 res2net50_26w_6s.in1k 93.590 6.410 98.740 1.260 37.05 224 0.875 bilinear
791 resnet32ts.ra2_in1k 93.590 6.410 98.740 1.260 17.96 288 1.000 bicubic
792 halonet26t.a1h_in1k 93.590 6.410 98.630 1.370 12.48 256 0.950 bicubic
793 repvgg_b2.rvgg_in1k 93.580 6.420 99.070 0.930 89.02 224 0.875 bilinear
794 dla60_res2next.in1k 93.580 6.420 98.780 98.790 1.220 1.210 17.03 224 0.875 bilinear
795 tf_efficientnet_cc_b1_8e.in1k 93.580 6.420 98.690 1.310 39.72 240 0.882 bicubic
796 resnet50s.gluon_in1k 93.570 6.430 98.840 1.160 25.68 224 0.875 bicubic
797 inception_v3.gluon_in1k 93.560 6.440 98.840 1.160 23.83 299 0.875 bicubic
798 resnext50_32x4d.a3_in1k 93.550 6.450 98.820 1.180 25.03 224 0.950 bicubic
799 eca_halonext26ts.c1_in1k 93.550 6.450 98.680 1.320 10.76 256 0.940 bicubic
800 repghostnet_200.in1k 93.550 6.450 98.600 1.400 9.80 224 0.875 bicubic
801 dla102x.in1k 93.540 6.460 98.850 1.150 26.31 224 0.875 bilinear
802 resnet50d.gluon_in1k 93.540 6.460 98.710 1.290 25.58 224 0.875 bicubic
803 res2net101_26w_4s.in1k 93.530 6.470 98.600 1.400 45.21 224 0.875 bilinear
804 convnext_tiny.fb_in22k_ft_in1k 93.530 6.470 98.570 1.430 28.59 288 1.000 bicubic
805 coat_tiny.in1k 93.510 6.490 98.680 1.320 5.50 224 0.900 bicubic
806 SelecSls60b.in1k selecsls60b.in1k 93.500 6.500 98.840 1.160 32.77 224 0.875 bicubic
807 gmlp_s16_224.ra3_in1k 93.500 6.500 98.780 1.220 19.42 224 0.875 bicubic
808 pvt_v2_b1.in1k 93.490 6.510 98.860 1.140 14.01 224 0.900 bicubic
809 fastvit_t12.apple_in1k 93.490 6.510 98.710 1.290 7.55 256 0.900 bicubic
810 hrnet_w18.ms_aug_in1k 93.480 6.520 98.980 1.020 21.30 224 0.950 bilinear
811 mobilevitv2_125.cvnets_in1k 93.480 6.520 98.840 1.160 7.48 256 0.888 bicubic
812 xception41.tf_in1k 93.480 6.520 98.750 1.250 26.97 299 0.903 bicubic
813 coat_lite_mini.in1k 93.470 6.530 98.770 1.230 11.01 224 0.900 bicubic
814 regnety_032.pycls_in1k 93.460 6.540 98.950 1.050 19.44 224 0.875 bicubic
815 wide_resnet50_2.tv_in1k 93.460 6.540 98.950 1.050 68.88 224 0.875 bilinear
816 repvit_m0_9.dist_300e_in1k 93.460 6.540 98.820 1.180 5.49 224 0.950 bicubic
817 legacy_seresnext50_32x4d.in1k 93.450 6.550 98.800 1.200 27.56 224 0.875 bilinear
818 cait_xxs24_224.fb_dist_in1k 93.450 6.550 98.780 1.220 11.96 224 1.000 bicubic
819 vit_small_patch16_224.augreg_in1k 93.450 6.550 98.780 1.220 22.05 224 0.900 bicubic
820 repvit_m0_9.dist_450e_in1k 93.440 6.560 98.910 1.090 5.49 224 0.950 bicubic
821 convnext_femto.d1_in1k 93.440 6.560 98.820 1.180 5.22 288 0.950 bicubic
822 repvgg_b1.rvgg_in1k 93.440 6.560 98.790 1.210 57.42 224 0.875 bilinear
823 botnet26t_256.c1_in1k 93.440 6.560 98.650 1.350 12.49 256 0.950 bicubic
830 resnet50d.a3_in1k 93.410 6.590 98.750 1.250 25.58 224 0.950 bicubic
831 res2net50_26w_8s.in1k 93.410 6.590 98.690 1.310 48.40 224 0.875 bilinear
832 convnext_femto_ols.d1_in1k 93.390 6.610 98.910 1.090 5.23 288 0.950 bicubic
833 dla60_res2net.in1k repvit_m1.dist_in1k 93.370 93.380 6.630 6.620 98.830 98.650 1.170 1.350 20.85 5.49 224 0.875 0.950 bilinear bicubic
834 dla60_res2net.in1k 93.370 6.630 98.840 1.160 20.85 224 0.875 bilinear
835 xcit_tiny_12_p16_224.fb_dist_in1k 93.350 6.650 98.760 1.240 6.72 224 1.000 bicubic
836 eca_botnext26ts_256.c1_in1k 93.350 6.650 98.690 1.310 10.59 256 0.950 bicubic
837 seresnext26t_32x4d.bt_in1k 93.350 6.650 98.690 1.310 16.81 288 0.950 bicubic
838 vit_base_patch16_224.augreg_in1k 93.350 6.650 98.660 1.340 86.57 224 0.900 bicubic
839 efficientvit_b1.r224_in1k 93.330 6.670 98.570 1.430 9.10 224 0.950 bicubic
840 xcit_nano_12_p8_384.fb_dist_in1k 93.300 6.700 98.860 1.140 3.05 384 1.000 bicubic
841 pit_xs_distilled_224.in1k 93.280 93.290 6.720 6.710 98.790 1.210 11.00 224 0.900 bicubic
842 cs3darknet_m.c2ns_in1k 93.280 6.720 98.720 1.280 9.31 288 0.950 bicubic
843 dla102.in1k 93.270 6.730 98.790 1.210 33.27 224 0.875 bilinear
844 legacy_seresnet101.in1k 93.270 6.730 98.740 1.260 49.33 224 0.875 bilinear
dla102.in1k 93.250 6.750 98.790 1.210 33.27 224 0.875 bilinear
845 resnet152.tv_in1k 93.240 6.760 98.750 1.250 60.19 224 0.875 bilinear
846 regnetx_032.pycls_in1k 93.240 6.760 98.720 1.280 15.30 224 0.875 bicubic
847 mixnet_l.ft_in1k 93.240 6.760 98.700 1.300 7.33 224 0.875 bicubic
848 resnest26d.gluon_in1k 93.230 93.220 6.770 6.780 98.850 1.150 17.07 224 0.875 bilinear
849 dla60x.in1k 93.190 6.810 98.720 1.280 17.35 224 0.875 bilinear
850 tf_efficientnet_em.in1k 93.190 6.810 98.660 1.340 6.90 240 0.882 bicubic
851 inception_v3.tf_in1k 93.190 6.810 98.490 1.510 23.83 299 0.875 bicubic
852 res2net50_26w_4s.in1k 93.180 6.820 98.660 1.340 25.70 224 0.875 bilinear
853 regnety_008_tv.tv2_in1k vit_base_patch32_384.augreg_in1k 93.160 6.840 98.680 98.610 1.320 1.390 6.43 88.30 224 384 0.965 1.000 bicubic
854 mobilevit_s.cvnets_in1k 93.150 6.850 98.780 1.220 5.58 256 0.900 bicubic
855 regnety_008_tv.tv2_in1k 93.150 6.850 98.680 1.320 6.43 224 0.965 bicubic
856 res2next50.in1k 93.150 6.850 98.640 1.360 24.67 224 0.875 bilinear
vit_base_patch32_384.augreg_in1k 93.150 6.850 98.610 1.390 88.30 384 1.000 bicubic
857 mobilevitv2_100.cvnets_in1k 93.140 6.860 98.760 1.240 4.90 256 0.888 bicubic
858 vit_relpos_base_patch32_plus_rpn_256.sw_in1k 93.140 6.860 98.310 1.690 119.42 256 0.900 bicubic
859 bat_resnext26ts.ch_in1k 93.120 6.880 98.730 1.270 10.73 256 0.900 bicubic
860 cs3darknet_focus_m.c2ns_in1k 93.100 6.900 98.750 1.250 9.30 288 0.950 bicubic
861 ghostnetv2_160.in1k 93.090 6.910 98.740 1.260 12.39 224 0.875 bicubic
862 seresnext26d_32x4d.bt_in1k 93.060 6.940 98.710 1.290 16.81 288 0.950 bicubic
863 tf_efficientnetv2_b0.in1k 93.060 6.940 98.700 1.300 7.14 224 0.875 bicubic
864 repvgg_b1g4.rvgg_in1k 93.030 6.970 98.820 1.180 39.97 224 0.875 bilinear
868 densenetblur121d.ra_in1k 93.030 6.970 98.600 1.400 8.00 288 0.950 bicubic
869 tf_mixnet_l.in1k 93.030 6.970 98.530 1.470 7.33 224 0.875 bicubic
870 efficientnet_b1.ft_in1k 93.020 6.980 98.710 1.290 7.79 256 1.000 bicubic
871 selecsls60.in1k 93.010 6.990 98.820 1.180 30.67 224 0.875 bicubic
872 regnety_016.pycls_in1k 93.010 6.990 98.670 1.330 11.20 224 0.875 bicubic
873 SelecSls60.in1k inception_v3.tf_adv_in1k 93.000 93.010 7.000 6.990 98.820 98.490 1.180 1.510 30.67 23.83 224 299 0.875 bicubic
874 hrnet_w18_small_v2.gluon_in1k 93.000 7.000 98.760 1.240 15.60 224 0.875 bicubic
875 resnet34.a1_in1k 93.000 7.000 98.630 1.370 21.80 288 1.000 bicubic
inception_v3.tf_adv_in1k 93.000 7.000 98.490 1.510 23.83 299 0.875 bicubic
876 visformer_tiny.in1k 92.980 7.020 98.730 1.270 10.32 224 0.900 bicubic
877 convnext_atto_ols.a2_in1k 92.980 7.020 98.670 1.330 3.70 288 0.950 bicubic
878 mobileone_s3.apple_in1k 92.980 7.020 98.630 1.370 10.17 224 0.900 bilinear
879 hardcorenas_f.miil_green_in1k 92.980 7.020 98.620 1.380 8.20 224 0.875 bilinear
880 efficientnet_b1_pruned.in1k 92.980 7.020 98.530 98.540 1.470 1.460 6.33 240 0.882 bicubic
881 hrnet_w32.ms_in1k 92.960 92.950 7.040 7.050 98.850 1.150 41.23 224 0.875 bilinear
882 seresnext26ts.ch_in1k 92.940 7.060 98.670 1.330 10.39 288 1.000 bicubic
tf_efficientnet_b1.in1k 92.940 7.060 98.660 1.340 7.79 240 0.882 bicubic
883 hardcorenas_e.miil_green_in1k 92.940 7.060 98.580 1.420 8.07 224 0.875 bilinear
884 resnet50.a3_in1k 92.940 7.060 98.530 98.510 1.470 1.490 25.56 224 0.950 bicubic
885 efficientnet_es.ra_in1k tf_efficientnet_b1.in1k 92.920 92.930 7.080 7.070 98.690 98.660 1.310 1.340 5.44 7.79 224 240 0.875 0.882 bicubic
resnet26t.ra2_in1k 92.920 7.080 98.680 1.320 16.01 320 1.000 bicubic
886 convnextv2_atto.fcmae_ft_in1k 92.920 7.080 98.560 1.440 3.71 288 0.950 bicubic
887 resnet50c.gluon_in1k 92.910 7.090 98.700 1.300 25.58 224 0.875 bicubic
888 efficientnet_es.ra_in1k 92.910 7.090 98.690 1.310 5.44 224 0.875 bicubic
889 resnet26t.ra2_in1k 92.910 7.090 98.680 1.320 16.01 320 1.000 bicubic
890 resnext50_32x4d.tv_in1k 92.900 7.100 98.730 1.270 25.03 224 0.875 bilinear
891 inception_v3.tv_in1k 92.900 7.100 98.320 1.680 23.83 299 0.875 bicubic
892 densenet161.tv_in1k 92.890 7.110 98.790 1.210 28.68 224 0.875 bicubic
893 pit_xs_224.in1k 92.890 7.110 98.770 98.780 1.230 1.220 10.62 224 0.900 bicubic
894 poolformerv2_s12.sail_in1k 92.890 7.110 98.530 1.470 11.89 224 1.000 bicubic
895 resnet101.tv_in1k 92.880 7.120 98.660 1.340 44.55 224 0.875 bilinear
896 resmlp_12_224.fb_distilled_in1k 92.870 7.130 98.620 1.380 15.35 224 0.875 bicubic
897 tf_efficientnet_cc_b0_8e.in1k 92.870 7.130 98.460 1.540 24.01 224 0.875 bicubic
898 coat_lite_tiny.in1k 92.860 7.140 98.630 98.640 1.370 1.360 5.72 224 0.900 bicubic
899 rexnet_100.nav_in1k 92.830 7.170 98.600 1.400 4.80 224 0.875 bicubic
900 tf_efficientnet_cc_b0_4e.in1k 92.820 7.180 98.440 1.560 13.31 224 0.875 bicubic
901 tinynet_a.in1k 92.800 92.810 7.200 7.190 98.560 1.440 6.19 192 0.875 bicubic
902 dpn68b.mx_in1k 92.790 92.780 7.210 7.220 98.520 1.480 12.61 224 0.875 bicubic
903 res2net50_48w_2s.in1k 92.780 7.220 98.470 1.530 25.29 224 0.875 bilinear
904 hrnet_w18.ms_in1k 92.770 7.230 98.660 1.340 21.30 224 0.875 bilinear
905 convnext_atto.d2_in1k 92.770 7.230 98.620 1.380 3.70 288 0.950 bicubic
906 crossvit_9_dagger_240.in1k 92.770 7.230 98.490 1.510 8.78 240 0.875 bicubic
907 ese_vovnet19b_dw.ra_in1k 92.760 7.240 98.650 1.350 6.54 288 0.950 bicubic
crossvit_9_dagger_240.in1k 92.760 7.240 98.490 1.510 8.78 240 0.875 bicubic
908 eca_resnext26ts.ch_in1k 92.750 7.250 98.710 1.290 10.30 288 1.000 bicubic
909 gcresnext26ts.ch_in1k 92.740 7.260 98.610 1.390 10.48 288 1.000 bicubic
910 densenet201.tv_in1k 92.700 7.300 98.640 1.360 20.01 224 0.875 bicubic
911 densenet121.ra_in1k 92.700 7.300 98.600 1.400 7.98 288 0.950 bicubic
912 repvgg_a2.rvgg_in1k 92.680 7.320 98.530 1.470 28.21 224 0.875 bilinear
913 gmixer_24_224.ra3_in1k 92.680 7.320 98.280 1.720 24.72 224 0.875 bicubic
914 legacy_seresnet50.in1k mobileone_s2.apple_in1k 92.670 92.660 7.330 7.340 98.650 98.680 1.350 1.320 28.09 7.88 224 0.875 0.900 bilinear
915 dla60.in1k legacy_seresnet50.in1k 92.640 92.660 7.360 7.340 98.630 98.650 1.370 1.350 22.04 28.09 224 0.875 bilinear
916 dla60.in1k 92.650 7.350 98.630 1.370 22.04 224 0.875 bilinear
917 tf_efficientnet_b0.ap_in1k 92.620 7.380 98.370 1.630 5.29 224 0.875 bicubic
918 mobilenetv2_120d.ra_in1k 92.610 7.390 98.510 1.490 5.83 224 0.875 bicubic
919 hardcorenas_d.miil_green_in1k 92.610 7.390 98.430 1.570 7.50 224 0.875 bilinear
920 legacy_seresnext26_32x4d.in1k 92.600 7.400 98.410 1.590 16.79 224 0.875 bicubic
921 tf_efficientnet_lite2.in1k 92.590 7.410 98.540 1.460 6.09 260 0.890 bicubic
922 fastvit_t8.apple_dist_in1k 92.590 7.410 98.430 1.570 4.03 256 0.900 bicubic
923 resnet34.a2_in1k 92.570 7.430 98.570 1.430 21.80 288 1.000 bicubic
924 skresnet34.ra_in1k 92.570 7.430 98.520 1.480 22.28 224 0.875 bicubic
925 resnet50.gluon_in1k 92.560 7.440 98.550 1.450 25.56 224 0.875 bicubic
926 resnet26d.bt_in1k 92.550 7.450 98.650 1.350 16.01 288 0.950 bicubic
927 regnetx_016.pycls_in1k 92.530 7.470 98.550 1.450 9.19 224 0.875 bicubic
928 poolformer_s12.sail_in1k 92.500 7.500 98.400 98.390 1.600 1.610 11.92 224 0.900 bicubic
929 regnetx_008.tv2_in1k 92.490 7.510 98.430 1.570 7.26 224 0.965 bicubic
930 efficientnet_b0.ra_in1k 92.480 7.520 98.680 1.320 5.29 224 0.875 bicubic
931 xcit_tiny_12_p16_224.fb_in1k 92.480 7.520 98.630 1.370 6.72 224 1.000 bicubic
932 SelecSls42b.in1k selecsls42b.in1k 92.480 7.520 98.430 1.570 32.46 224 0.875 bicubic
933 gernet_s.idstcv_in1k 92.440 7.560 98.500 1.500 8.17 224 0.875 bilinear
934 xcit_nano_12_p8_224.fb_dist_in1k 92.430 7.570 98.530 98.540 1.470 1.460 3.05 224 1.000 bicubic
935 tf_efficientnet_b0.aa_in1k 92.400 7.600 98.470 1.530 5.29 224 0.875 bicubic
936 repghostnet_150.in1k 92.380 7.620 98.530 1.470 6.58 224 0.875 bicubic
937 resnext26ts.ra2_in1k 92.380 7.620 98.390 1.610 10.30 288 1.000 bicubic
938 seresnet50.a3_in1k 92.360 7.640 98.330 1.670 28.09 224 0.950 bicubic
939 hardcorenas_c.miil_green_in1k 92.350 7.650 98.340 1.660 5.52 224 0.875 bilinear
945 tf_efficientnet_b0.in1k 92.280 7.720 98.550 1.450 5.29 224 0.875 bicubic
946 mixnet_m.ft_in1k 92.270 7.730 98.360 1.640 5.01 224 0.875 bicubic
947 mobilenetv3_large_100.miil_in21k_ft_in1k 92.260 7.740 98.240 1.760 5.48 224 0.875 bilinear
948 ghostnetv2_130.in1k 92.240 7.760 98.380 1.620 8.96 224 0.875 bicubic
949 tf_mixnet_m.in1k 92.210 7.790 98.420 1.580 5.01 224 0.875 bicubic
950 efficientvit_m5.r224_in1k 92.150 7.850 98.520 1.480 12.47 224 0.875 bicubic
951 vit_small_patch32_224.augreg_in21k_ft_in1k 92.140 7.860 98.520 1.480 22.88 224 0.900 bicubic
952 xcit_nano_12_p16_384.fb_dist_in1k 92.140 92.130 7.860 7.870 98.510 1.490 3.05 384 1.000 bicubic
953 resmlp_12_224.fb_in1k 92.120 7.880 98.570 1.430 15.35 224 0.875 bicubic
resnet26.bt_in1k 92.120 7.880 98.550 1.450 16.00 288 0.950 bicubic
954 resnet50.tv_in1k 92.120 7.880 98.410 1.590 25.56 224 0.875 bilinear
955 resnet26.bt_in1k 92.110 7.890 98.550 1.450 16.00 288 0.950 bicubic
956 tf_efficientnet_es.in1k 92.110 7.890 98.430 1.570 5.44 224 0.875 bicubic
957 mobilenetv2_140.ra_in1k 92.050 7.950 98.250 1.750 6.11 224 0.875 bicubic
958 mobilevitv2_075.cvnets_in1k 91.970 8.030 98.300 1.700 2.87 256 0.888 bicubic
959 repghostnet_130.in1k 91.940 8.060 98.390 1.610 5.48 224 0.875 bicubic
960 fastvit_t8.apple_in1k 91.930 8.070 98.380 1.620 4.03 256 0.900 bicubic
961 hardcorenas_b.miil_green_in1k 91.920 8.080 98.410 1.590 5.18 224 0.875 bilinear
962 vit_tiny_patch16_224.augreg_in21k_ft_in1k 91.920 8.080 98.340 1.660 5.72 224 0.900 bicubic
963 regnety_008.pycls_in1k 91.890 91.900 8.110 8.100 98.410 1.590 6.26 224 0.875 bicubic
964 efficientformerv2_s0.snap_dist_in1k 91.870 91.860 8.130 8.140 98.370 1.630 3.60 224 0.950 bicubic
965 mixnet_s.ft_in1k mobileone_s1.apple_in1k 91.770 91.790 8.230 8.210 98.310 98.460 1.690 1.540 4.13 4.83 224 0.875 0.900 bicubic bilinear
966 mixnet_s.ft_in1k 91.780 8.220 98.300 1.700 4.13 224 0.875 bicubic
967 vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k 91.730 8.270 98.430 1.570 6.36 384 1.000 bicubic
968 efficientnet_es_pruned.in1k 91.690 91.700 8.310 8.300 98.410 1.590 5.44 224 0.875 bicubic
969 repvgg_b0.rvgg_in1k 91.680 8.320 98.450 1.550 15.82 224 0.875 bilinear
970 tf_mixnet_s.in1k 91.680 8.320 98.240 1.760 4.13 224 0.875 bicubic
971 semnasnet_100.rmsp_in1k 91.670 8.330 98.290 1.710 3.89 224 0.875 bicubic
972 regnety_004.tv2_in1k ghostnetv2_100.in1k 91.620 91.630 8.380 8.370 98.290 1.710 4.34 6.16 224 0.965 0.875 bicubic
973 regnety_004.tv2_in1k 91.620 8.380 98.280 1.720 4.34 224 0.965 bicubic
974 hardcorenas_a.miil_green_in1k 91.620 8.380 98.170 1.830 5.26 224 0.875 bilinear
975 edgenext_x_small.in1k 91.580 8.420 98.190 1.810 2.34 288 1.000 bicubic
976 regnety_006.pycls_in1k 91.560 8.440 98.430 1.570 6.06 224 0.875 bicubic
982 tf_mobilenetv3_large_100.in1k 91.420 8.580 98.260 1.740 5.48 224 0.875 bilinear
983 densenet121.tv_in1k 91.400 8.600 98.250 1.750 7.98 224 0.875 bicubic
984 mobilenetv2_110d.ra_in1k 91.330 8.670 98.190 1.810 4.52 224 0.875 bicubic
985 tf_efficientnet_lite0.in1k 91.280 8.720 98.090 98.080 1.910 1.920 4.65 224 0.875 bicubic
986 fbnetc_100.rmsp_in1k 91.280 8.720 97.840 2.160 5.57 224 0.875 bilinear
987 efficientnet_lite0.ra_in1k 91.260 91.250 8.740 8.750 98.240 1.760 4.65 224 0.875 bicubic
988 dla34.in1k 91.220 8.780 98.170 1.830 15.74 224 0.875 bilinear
989 mobilevit_xs.cvnets_in1k 91.210 8.790 98.220 1.780 2.32 256 0.900 bicubic
990 mnasnet_100.rmsp_in1k 91.210 8.790 98.060 98.050 1.940 1.950 4.38 224 0.875 bicubic
991 regnetx_008.pycls_in1k 91.180 91.170 8.820 8.830 98.370 1.630 7.26 224 0.875 bicubic
992 hrnet_w18_small_v2.ms_in1k 91.160 8.840 98.340 1.660 15.60 224 0.875 bilinear
993 regnetx_004_tv.tv2_in1k 91.160 8.840 98.110 98.100 1.890 1.900 5.50 224 0.965 bicubic
994 resnest14d.gluon_in1k 91.150 8.850 98.330 1.670 10.61 224 0.875 bilinear
995 mixer_b16_224.goog_in21k_ft_in1k 91.140 8.860 97.400 2.600 59.88 224 0.875 bicubic
996 tinynet_b.in1k repvgg_a1.rvgg_in1k 91.120 8.880 98.060 98.160 1.940 1.840 3.73 14.09 188 224 0.875 bicubic bilinear
997 tinynet_b.in1k 91.110 8.890 98.060 1.940 3.73 188 0.875 bicubic
998 xcit_nano_12_p8_224.fb_in1k 91.100 8.900 98.230 1.770 3.05 224 1.000 bicubic
999 resnet34.gluon_in1k resnet18.fb_swsl_ig1b_ft_in1k 91.090 91.100 8.910 8.900 98.170 98.200 1.830 1.800 21.80 11.69 224 0.875 bicubic bilinear
1000 repghostnet_111.in1k 91.100 8.900 98.050 1.950 4.54 224 0.875 bicubic
1001 resnet34.gluon_in1k 91.090 8.910 98.180 1.820 21.80 224 0.875 bicubic
1002 deit_tiny_distilled_patch16_224.fb_in1k 91.080 8.920 98.270 1.730 5.91 224 0.900 bicubic
1003 resnet18.fb_swsl_ig1b_ft_in1k crossvit_9_240.in1k 91.080 91.050 8.920 8.950 98.200 98.320 1.800 1.680 11.69 8.55 224 240 0.875 bilinear bicubic
crossvit_9_240.in1k 91.060 8.940 98.300 1.700 8.55 240 0.875 bicubic
1004 vgg19_bn.tv_in1k 90.990 9.010 98.100 1.900 143.68 224 0.875 bilinear
1005 resnet18d.ra2_in1k 90.800 9.200 98.160 1.840 11.71 288 0.950 bicubic
1006 regnetx_006.pycls_in1k 90.790 9.210 98.090 1.910 6.20 224 0.875 bicubic
1007 regnety_004.pycls_in1k 90.770 9.230 98.070 1.930 4.34 224 0.875 bicubic
1008 efficientvit_m4.r224_in1k 90.740 9.260 98.040 1.960 8.80 224 0.875 bicubic
1009 pit_ti_distilled_224.in1k 90.730 9.270 98.250 1.750 5.10 224 0.900 bicubic
1010 resnet18.fb_ssl_yfcc100m_ft_in1k 90.700 9.300 98.030 98.020 1.970 1.980 11.69 224 0.875 bilinear
1011 repghostnet_100.in1k 90.690 9.310 98.120 1.880 4.07 224 0.875 bicubic
1012 spnasnet_100.rmsp_in1k 90.590 9.410 97.950 2.050 4.42 224 0.875 bilinear
1013 vit_base_patch32_224.augreg_in1k 90.590 9.410 97.720 2.280 88.22 224 0.900 bicubic
1014 convit_tiny.fb_in1k 90.550 9.450 98.190 1.810 5.71 224 0.875 bicubic
1015 vgg16_bn.tv_in1k 90.540 9.460 97.990 2.010 138.37 224 0.875 bilinear
1016 crossvit_tiny_240.in1k 90.530 9.470 97.950 2.050 7.01 240 0.875 bicubic
1017 ghostnet_100.in1k 90.450 90.460 9.550 9.540 97.820 97.910 2.180 2.090 5.18 224 0.875 bilinear bicubic
1018 pit_ti_224.in1k 90.420 9.580 98.010 1.990 4.85 224 0.900 bicubic
1019 tf_mobilenetv3_large_075.in1k 90.330 9.670 97.870 2.130 3.99 224 0.875 bilinear
1020 hrnet_w18_small.gluon_in1k 90.310 9.690 97.750 2.250 13.19 224 0.875 bicubic
1021 resnet34.tv_in1k 90.300 9.700 97.970 2.030 21.80 224 0.875 bilinear
1022 resnet34.a3_in1k 90.240 9.760 97.880 2.120 21.80 224 0.950 bicubic
1023 semnasnet_075.rmsp_in1k 90.220 9.780 97.950 2.050 2.91 224 0.875 bicubic
1024 resnet18.a1_in1k 90.200 9.800 97.760 2.240 11.69 288 1.000 bicubic
1025 xcit_nano_12_p16_224.fb_dist_in1k 90.190 9.810 97.750 2.250 3.05 224 1.000 bicubic
1026 skresnet18.ra_in1k 90.180 9.820 97.780 2.220 11.96 224 0.875 bicubic
1027 efficientvit_m3.r224_in1k 90.000 10.000 97.830 2.170 6.90 224 0.875 bicubic
1028 hrnet_w18_small.ms_in1k 89.870 10.130 97.890 2.110 13.19 224 0.875 bilinear
1029 mobilenetv2_100.ra_in1k 89.870 10.130 97.830 2.170 3.50 224 0.875 bicubic
1030 vit_base_patch32_224.sam_in1k 89.870 10.130 97.600 2.400 88.22 224 0.900 bicubic
mobilenetv2_100.ra_in1k 89.850 10.150 97.830 2.170 3.50 224 0.875 bicubic
1031 edgenext_xx_small.in1k 89.800 10.200 97.500 2.500 1.33 288 1.000 bicubic
1032 repvgg_a0.rvgg_in1k 89.680 10.320 97.760 2.240 9.11 224 0.875 bilinear
1033 vgg19.tv_in1k 89.680 10.320 97.550 2.450 143.67 224 0.875 bilinear
1034 deit_tiny_patch16_224.fb_in1k 89.610 10.390 97.960 2.040 5.72 224 0.900 bicubic
1035 resnet18.a2_in1k regnetx_004.pycls_in1k 89.480 89.470 10.520 10.530 97.630 97.760 2.370 2.240 11.69 5.16 288 224 1.000 0.875 bicubic
1036 regnetx_004.pycls_in1k resnet18.a2_in1k 89.460 89.470 10.540 10.530 97.760 97.630 2.240 2.370 5.16 11.69 224 288 0.875 1.000 bicubic
1037 repghostnet_080.in1k 89.470 10.530 97.410 2.590 3.28 224 0.875 bicubic
1038 vgg16.tv_in1k 89.370 10.630 97.520 2.480 138.36 224 0.875 bilinear
1039 vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k 89.340 10.660 97.700 2.300 6.34 224 0.900 bicubic
1040 legacy_seresnet18.in1k 89.260 10.740 97.690 2.310 11.78 224 0.875 bicubic
1041 resnet14t.c3_in1k 89.250 10.750 97.440 2.560 10.08 224 0.950 bicubic
1042 vgg13_bn.tv_in1k 89.200 10.800 97.530 2.470 133.05 224 0.875 bilinear
1043 tf_mobilenetv3_large_minimal_100.in1k 89.160 10.840 97.310 2.690 3.92 224 0.875 bilinear
1044 mobilevitv2_050.cvnets_in1k 89.030 10.970 97.590 97.600 2.410 2.400 1.37 256 0.888 bicubic
1045 pvt_v2_b0.in1k 88.970 11.030 97.690 2.310 3.67 224 0.900 bicubic
1046 xcit_nano_12_p16_224.fb_in1k 88.970 11.030 97.410 2.590 3.05 224 1.000 bicubic
1047 efficientvit_m2.r224_in1k 88.910 11.090 97.390 2.610 4.19 224 0.875 bicubic
1048 lcnet_100.ra2_in1k 88.910 11.090 97.380 2.620 2.95 224 0.875 bicubic
1049 resnet18.gluon_in1k mobileone_s0.apple_in1k 88.660 88.810 11.340 11.190 97.090 97.220 2.910 2.780 11.69 5.29 224 0.875 bicubic bilinear
1050 resnet18.gluon_in1k 88.660 11.340 97.100 2.900 11.69 224 0.875 bicubic
1051 tinynet_c.in1k 88.400 11.600 97.260 2.740 2.46 184 0.875 bicubic
1052 vgg11_bn.tv_in1k 88.400 11.600 97.250 2.750 132.87 224 0.875 bilinear
1053 regnety_002.pycls_in1k efficientvit_b0.r224_in1k 88.190 88.300 11.810 11.700 97.440 96.880 2.560 3.120 3.16 3.41 224 0.875 0.950 bicubic
1054 regnety_002.pycls_in1k 88.170 11.830 97.440 2.560 3.16 224 0.875 bicubic
1055 resnet18.tv_in1k 88.150 11.850 97.120 2.880 11.69 224 0.875 bilinear
1056 mobilevit_xxs.cvnets_in1k 87.930 87.940 12.070 12.060 97.190 2.810 1.27 256 0.900 bicubic
1057 vgg13.tv_in1k 87.570 12.430 97.110 2.890 133.05 224 0.875 bilinear
1058 regnetx_002.pycls_in1k 87.360 87.370 12.640 12.630 97.000 3.000 2.68 224 0.875 bicubic
1059 vgg11.tv_in1k 87.350 12.650 97.100 2.900 132.86 224 0.875 bilinear
1060 dla60x_c.in1k efficientvit_m1.r224_in1k 87.130 87.220 12.870 12.780 97.140 97.020 2.860 2.980 1.32 2.98 224 0.875 bilinear bicubic
1061 repghostnet_058.in1k 87.150 12.850 96.780 3.220 2.55 224 0.875 bicubic
1062 dla60x_c.in1k 87.110 12.890 97.140 2.860 1.32 224 0.875 bilinear
1063 resnet18.a3_in1k 87.070 12.930 96.660 3.340 11.69 224 0.950 bicubic
1064 mixer_l16_224.goog_in21k_ft_in1k 86.990 13.010 94.070 5.930 208.20 224 0.875 bicubic
1065 lcnet_075.ra2_in1k 86.960 13.040 96.550 3.450 2.36 224 0.875 bicubic
1066 resnet10t.c3_in1k 86.680 13.320 96.730 3.270 5.44 224 0.950 bicubic
1067 mobilenetv3_small_100.lamb_in1k 86.180 13.820 96.450 3.550 2.54 224 0.875 bicubic
1068 tf_mobilenetv3_small_100.in1k 85.940 85.950 14.060 14.050 96.400 3.600 2.54 224 0.875 bilinear
1069 mnasnet_small.lamb_in1k 85.480 14.520 96.000 4.000 2.03 224 0.875 bicubic
1070 repghostnet_050.in1k 85.450 14.550 96.150 3.850 2.31 224 0.875 bicubic
1071 dla46x_c.in1k 85.440 14.560 96.420 3.580 1.07 224 0.875 bilinear
1072 tinynet_d.in1k 85.440 14.560 96.020 3.980 2.34 152 0.875 bicubic
dla46x_c.in1k 85.430 14.570 96.430 3.570 1.07 224 0.875 bilinear
1073 mobilenetv2_050.lamb_in1k 84.990 15.010 95.620 4.380 1.97 224 0.875 bicubic
1074 dla46_c.in1k 84.700 15.300 96.210 3.790 1.30 224 0.875 bilinear
1075 tf_mobilenetv3_small_075.in1k 84.500 15.500 95.880 4.120 2.04 224 0.875 bilinear
1076 mobilenetv3_small_075.lamb_in1k 84.120 15.880 95.520 4.480 2.04 224 0.875 bicubic
1077 lcnet_050.ra2_in1k efficientvit_m0.r224_in1k 83.030 83.220 16.970 16.780 95.000 95.700 5.000 4.300 1.88 2.35 224 0.875 bicubic
1078 tf_mobilenetv3_small_minimal_100.in1k lcnet_050.ra2_in1k 82.670 83.040 17.330 16.960 95.020 4.980 2.04 1.88 224 0.875 bilinear bicubic
1079 tinynet_e.in1k tf_mobilenetv3_small_minimal_100.in1k 79.820 82.660 20.180 17.340 93.970 95.030 6.030 4.970 2.04 106 224 0.875 bicubic bilinear
1080 mobilenetv3_small_050.lamb_in1k tinynet_e.in1k 78.090 79.810 21.910 20.190 93.010 93.970 6.990 6.030 1.59 2.04 224 106 0.875 bicubic
1081 mobilenetv3_small_050.lamb_in1k 78.080 21.920 93.010 6.990 1.59 224 0.875 bicubic

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