pytorch-image-models/results/results-imagenet-a.csv

1	model	img_size	top1	top1_err	top5	top5_err	param_count	crop_pct	interpolation	top1_diff	top5_diff	rank_diff
2	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	448	88.640	11.360	97.360	2.640	305.08	1.000	bicubic	-10.190	-2.520	+2
3	eva02_large_patch14_448.mim_in22k_ft_in22k_in1k	448	88.413	11.587	97.040	2.960	305.08	1.000	bicubic	-10.517	-2.870	-1
4	eva_giant_patch14_560.m30m_ft_in22k_in1k	560	87.307	12.693	96.827	3.173	1,014.45	1.000	bicubic	-11.513	-3.073	+1
5	eva02_large_patch14_448.mim_m38m_ft_in1k	448	87.080	12.920	96.333	3.667	305.08	1.000	bicubic	-11.640	-3.537	+5
6	eva02_large_patch14_448.mim_in22k_ft_in1k	448	86.227	13.773	95.880	4.120	305.08	1.000	bicubic	-12.613	-3.950	-3
7	eva_giant_patch14_336.clip_ft_in1k	336	85.120	14.880	95.667	4.333	1,013.01	1.000	bicubic	-13.690	-4.153	0
8	eva_giant_patch14_336.m30m_ft_in22k_in1k	336	85.040	14.960	96.293	3.707	1,013.01	1.000	bicubic	-13.770	-3.607	-2
9	tf_efficientnet_l2.ns_jft_in1k	800	84.680	15.320	96.040	3.960	480.31	0.960	bicubic	-13.860	-3.780	+10
10	regnety_1280.swag_ft_in1k	384	83.773	16.227	96.160	3.840	644.81	1.000	bicubic	-14.667	-3.660	+18
11	eva_large_patch14_336.in22k_ft_in22k_in1k	336	83.533	16.467	95.187	4.813	304.53	1.000	bicubic	-15.217	-4.623	-3
12	convnextv2_huge.fcmae_ft_in22k_in1k_512	512	83.360	16.640	95.907	4.093	660.29	1.000	bicubic	-15.230	-3.963	+3
13	tf_efficientnet_l2.ns_jft_in1k_475	475	83.360	16.640	95.467	4.533	480.31	0.936	bicubic	-15.140	-4.373	+11
14	maxvit_xlarge_tf_512.in21k_ft_in1k	512	83.147	16.853	95.347	4.653	475.77	1.000	bicubic	-15.473	-4.453	0
15	beit_large_patch16_512.in22k_ft_in22k_in1k	512	82.960	17.040	95.720	4.280	305.67	1.000	bicubic	-15.600	-4.110	+2
16	eva_large_patch14_336.in22k_ft_in1k	336	82.667	17.333	95.547	4.453	304.53	1.000	bicubic	-16.053	-4.243	-7
17	maxvit_large_tf_512.in21k_ft_in1k	512	81.693	18.307	94.973	5.027	212.33	1.000	bicubic	-16.917	-4.817	-2
18	eva_giant_patch14_224.clip_ft_in1k	224	81.080	18.920	94.187	5.813	1,012.56	0.900	bicubic	-17.380	-5.563	+9
19	maxvit_base_tf_512.in21k_ft_in1k	512	81.053	18.947	94.320	5.680	119.88	1.000	bicubic	-17.587	-5.480	-7
20	maxvit_xlarge_tf_384.in21k_ft_in1k	384	80.947	19.053	94.440	5.560	475.32	1.000	bicubic	-17.563	-5.340	+2
21	beit_large_patch16_384.in22k_ft_in22k_in1k	384	80.173	19.827	94.733	5.267	305.00	1.000	bicubic	-18.347	-5.087	-1
22	caformer_b36.sail_in22k_ft_in1k_384	384	79.587	20.413	94.320	5.680	98.75	1.000	bicubic	-18.853	-5.500	+9
23	convnextv2_huge.fcmae_ft_in22k_in1k_384	384	79.373	20.627	94.547	5.453	660.29	1.000	bicubic	-19.297	-5.313	-12
24	deit3_large_patch16_384.fb_in22k_ft_in1k	384	79.320	20.680	93.613	6.387	304.76	1.000	bicubic	-19.140	-6.137	+2
25	maxvit_large_tf_384.in21k_ft_in1k	384	78.093	21.907	93.200	6.800	212.03	1.000	bicubic	-20.397	-6.550	-1
26	eva02_base_patch14_448.mim_in22k_ft_in1k	448	77.813	22.187	93.213	6.787	87.12	1.000	bicubic	-20.627	-6.587	+4
27	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	448	77.587	22.413	93.080	6.920	87.12	1.000	bicubic	-21.043	-6.720	-14
28	vit_large_patch14_clip_336.openai_ft_in12k_in1k	336	77.147	22.853	93.640	6.360	304.53	1.000	bicubic	-21.123	-6.130	+13
29	convnext_xxlarge.clip_laion2b_soup_ft_in1k	256	76.867	23.133	94.213	5.787	846.47	1.000	bicubic	-21.573	-5.657	0
30	maxvit_base_tf_384.in21k_ft_in1k	384	76.667	23.333	92.400	7.600	119.65	1.000	bicubic	-21.853	-7.350	-9
31	beitv2_large_patch16_224.in1k_ft_in22k_in1k	224	76.600	23.400	93.307	6.693	304.43	0.950	bicubic	-21.950	-6.453	-13
32	eva_large_patch14_196.in22k_ft_in22k_in1k	196	75.387	24.613	91.640	8.360	304.14	1.000	bicubic	-23.043	-8.130	+1
33	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	384	74.867	25.133	91.440	8.560	116.14	1.000	bicubic	-23.313	-8.330	+18
34	regnety_1280.swag_lc_in1k	224	74.520	25.480	91.640	8.360	644.81	0.965	bicubic	-23.140	-8.000	+91
35	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	384	74.347	25.653	92.360	7.640	196.74	1.000	bicubic	-23.813	-7.310	+21
36	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	336	74.227	25.773	92.307	7.693	632.46	1.000	bicubic	-24.203	-7.503	-4
37	regnety_320.swag_ft_in1k	384	74.013	25.987	92.853	7.147	145.05	1.000	bicubic	-24.047	-7.007	+29
38	caformer_m36.sail_in22k_ft_in1k_384	384	73.920	26.080	91.347	8.653	56.20	1.000	bicubic	-24.220	-8.433	+21
39	convformer_b36.sail_in22k_ft_in1k_384	384	73.640	26.360	91.640	8.360	99.88	1.000	bicubic	-24.620	-8.140	+3
40	eva_large_patch14_196.in22k_ft_in1k	196	73.053	26.947	91.293	8.707	304.14	1.000	bicubic	-25.327	-8.527	-5
41	vit_large_patch14_clip_224.openai_ft_in12k_in1k	224	72.120	27.880	90.760	9.240	304.20	1.000	bicubic	-26.110	-8.960	+6
42	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	384	71.907	28.093	91.840	8.160	87.92	1.000	bicubic	-26.233	-7.910	+16
43	vit_large_patch14_clip_224.openai_ft_in1k	224	71.773	28.227	91.360	8.640	304.20	1.000	bicubic	-26.387	-8.410	+14
44	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	336	71.440	28.560	89.840	10.160	304.53	1.000	bicubic	-26.910	-9.930	-6
45	deit3_base_patch16_384.fb_in22k_ft_in1k	384	71.280	28.720	89.960	10.040	86.88	1.000	bicubic	-26.560	-9.710	+51
46	convnext_xlarge.fb_in22k_ft_in1k_384	384	71.187	28.813	90.787	9.213	350.20	1.000	bicubic	-27.233	-9.023	-12
47	vit_large_patch16_384.augreg_in21k_ft_in1k	384	71.093	28.907	89.667	10.333	304.72	1.000	bicubic	-27.157	-10.133	-1
48	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	384	71.080	28.920	89.787	10.213	73.88	1.000	bicubic	-26.990	-9.913	+17
49	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	384	70.920	29.080	90.867	9.133	200.13	1.000	bicubic	-27.560	-8.883	-24
50	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	224	70.907	29.093	90.560	9.440	632.05	1.000	bicubic	-27.393	-9.220	-11
51	swin_large_patch4_window12_384.ms_in22k_ft_in1k	384	70.800	29.200	90.573	9.427	196.74	1.000	bicubic	-27.220	-9.117	+20
52	caformer_s36.sail_in22k_ft_in1k_384	384	70.693	29.307	90.387	9.613	39.30	1.000	bicubic	-27.297	-9.333	+22
53	convnextv2_large.fcmae_ft_in22k_in1k_384	384	70.213	29.787	89.600	10.400	197.96	1.000	bicubic	-28.167	-10.160	-17
54	deit3_huge_patch14_224.fb_in22k_ft_in1k	224	70.187	29.813	90.707	9.293	632.13	1.000	bicubic	-27.983	-9.043	0
55	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	384	70.027	29.973	90.440	9.560	116.09	1.000	bicubic	-28.233	-9.380	-12
56	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	320	69.827	30.173	90.747	9.253	200.13	1.000	bicubic	-28.453	-9.023	-16
57	caformer_b36.sail_in22k_ft_in1k	224	69.467	30.533	90.240	9.760	98.75	1.000	bicubic	-28.693	-9.470	-2
58	volo_d5_512.sail_in1k	512	69.453	30.547	90.560	9.440	296.09	1.150	bicubic	-28.337	-9.200	+51
59	beit_large_patch16_224.in22k_ft_in22k_in1k	224	69.053	30.947	89.973	10.027	304.43	0.900	bicubic	-29.117	-9.787	-7
60	seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	384	68.627	31.373	88.560	11.440	149.39	1.000	bicubic	-29.573	-11.220	-11
61	deit3_large_patch16_224.fb_in22k_ft_in1k	224	68.573	31.427	90.000	10.000	304.37	1.000	bicubic	-29.597	-9.730	-8
62	convformer_m36.sail_in22k_ft_in1k_384	384	68.520	31.480	89.160	10.840	57.05	1.000	bicubic	-29.520	-10.530	+7
63	convnext_xlarge.fb_in22k_ft_in1k	288	68.227	31.773	90.133	9.867	350.20	1.000	bicubic	-29.893	-9.637	-2
64	regnety_160.swag_ft_in1k	384	68.160	31.840	90.667	9.333	83.59	1.000	bicubic	-29.630	-9.003	+44
65	maxvit_base_tf_512.in1k	512	68.093	31.907	88.547	11.453	119.88	1.000	bicubic	-29.707	-11.063	+42
66	volo_d5_448.sail_in1k	448	67.960	32.040	89.800	10.200	295.91	1.150	bicubic	-29.790	-9.910	+50
67	maxvit_large_tf_512.in1k	512	67.640	32.360	87.680	12.320	212.33	1.000	bicubic	-30.190	-11.990	+35
68	beitv2_large_patch16_224.in1k_ft_in1k	224	67.627	32.373	88.733	11.267	304.43	0.950	bicubic	-30.293	-10.927	+16
69	convnext_large.fb_in22k_ft_in1k_384	384	67.413	32.587	88.893	11.107	197.77	1.000	bicubic	-30.847	-10.867	-24
70	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	256	67.373	32.627	88.507	11.493	196.74	0.900	bicubic	-30.467	-11.163	+28
71	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	384	67.267	32.733	89.960	10.040	200.13	1.000	bicubic	-30.993	-9.790	-27
72	tf_efficientnet_b7.ns_jft_in1k	600	67.187	32.813	88.533	11.467	66.35	0.949	bicubic	-30.703	-11.177	+18
73	tf_efficientnetv2_xl.in21k_ft_in1k	512	67.173	32.827	87.173	12.827	208.12	1.000	bicubic	-30.737	-12.427	+13
74	vit_large_patch14_clip_336.laion2b_ft_in1k	336	67.107	32.893	89.067	10.933	304.53	1.000	bicubic	-31.113	-10.653	-26
75	beit_base_patch16_384.in22k_ft_in22k_in1k	384	66.987	33.013	89.093	10.907	86.74	1.000	bicubic	-30.843	-10.607	+25
76	convnextv2_large.fcmae_ft_in22k_in1k	288	66.880	33.120	88.880	11.120	197.96	1.000	bicubic	-31.230	-10.890	-14
77	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	224	66.853	33.147	88.240	11.760	304.20	1.000	bicubic	-31.227	-11.520	-13
78	convnext_large.fb_in22k_ft_in1k	288	66.333	33.667	88.987	11.013	197.77	1.000	bicubic	-31.797	-10.763	-18
79	volo_d4_448.sail_in1k	448	66.293	33.707	88.987	11.013	193.41	1.150	bicubic	-31.387	-10.733	+44
80	hiera_huge_224.mae_in1k_ft_in1k	224	66.240	33.760	86.547	13.453	672.78	0.900	bicubic	-31.710	-13.213	+1
81	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	320	66.000	34.000	87.840	12.160	93.59	1.000	bicubic	-31.960	-11.910	-2
82	convnextv2_base.fcmae_ft_in22k_in1k_384	384	65.813	34.187	87.840	12.160	88.72	1.000	bicubic	-32.547	-11.930	-45
83	vit_huge_patch14_clip_224.laion2b_ft_in1k	224	65.707	34.293	87.840	12.160	632.05	1.000	bicubic	-32.323	-11.890	-13
84	regnety_320.swag_lc_in1k	224	65.560	34.440	88.053	11.947	145.05	0.965	bicubic	-31.590	-11.397	+150
85	volo_d3_448.sail_in1k	448	65.520	34.480	87.373	12.627	86.63	1.000	bicubic	-32.030	-12.177	+61
86	nextvit_large.bd_ssld_6m_in1k_384	384	65.453	34.547	88.493	11.507	57.87	1.000	bicubic	-32.487	-11.297	-4
87	swin_base_patch4_window12_384.ms_in22k_ft_in1k	384	65.280	34.720	88.587	11.413	87.90	1.000	bicubic	-32.590	-11.123	+5
88	efficientvit_l3.r384_in1k	384	64.813	35.187	87.053	12.947	246.04	1.000	bicubic	-32.787	-12.617	+52
89	convnextv2_huge.fcmae_ft_in1k	288	64.533	35.467	87.253	12.747	660.29	1.000	bicubic	-33.367	-12.377	-1
90	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	224	64.520	35.480	85.867	14.133	116.14	0.950	bicubic	-33.270	-13.783	+20
91	tf_efficientnetv2_l.in21k_ft_in1k	480	64.507	35.493	87.667	12.333	118.52	1.000	bicubic	-33.323	-12.093	+8
92	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	288	63.840	36.160	86.653	13.347	93.59	1.000	bicubic	-34.140	-13.057	-17
93	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	256	63.467	36.533	87.667	12.333	87.92	0.900	bicubic	-34.213	-11.943	+29
94	convformer_b36.sail_in22k_ft_in1k	224	63.387	36.613	86.440	13.560	99.88	1.000	bicubic	-34.563	-13.180	-14
95	maxvit_large_tf_384.in1k	384	63.347	36.653	85.173	14.827	212.03	1.000	bicubic	-34.243	-14.347	+48
96	convnext_base.fb_in22k_ft_in1k_384	384	63.307	36.693	86.827	13.173	88.59	1.000	bicubic	-34.793	-12.823	-33
97	convformer_s36.sail_in22k_ft_in1k_384	384	63.107	36.893	86.773	13.227	40.01	1.000	bicubic	-34.743	-12.897	-2
98	vit_base_patch16_384.augreg_in21k_ft_in1k	384	63.067	36.933	86.053	13.947	86.86	1.000	bicubic	-34.763	-13.507	+3
99	nextvit_base.bd_ssld_6m_in1k_384	384	62.933	37.067	87.893	12.107	44.82	1.000	bicubic	-34.947	-11.867	-8
100	maxvit_small_tf_512.in1k	512	62.840	37.160	86.453	13.547	69.13	1.000	bicubic	-34.920	-13.097	+14
101	convnextv2_large.fcmae_ft_in22k_in1k	224	62.587	37.413	85.667	14.333	197.96	1.000	bicubic	-35.373	-14.033	-23
102	maxvit_base_tf_384.in1k	384	62.493	37.507	85.120	14.880	119.65	1.000	bicubic	-35.097	-14.500	+40
103	vit_base_patch8_224.augreg2_in21k_ft_in1k	224	62.240	37.760	85.947	14.053	86.58	0.900	bicubic	-35.480	-13.693	+15
104	caformer_b36.sail_in1k_384	384	62.093	37.907	84.493	15.507	98.75	1.000	bicubic	-35.407	-15.147	+52
105	cait_m48_448.fb_dist_in1k	448	62.080	37.920	86.480	13.520	356.46	1.000	bicubic	-35.410	-13.110	+55
106	convnextv2_base.fcmae_ft_in22k_in1k	288	62.067	37.933	87.053	12.947	88.72	1.000	bicubic	-35.993	-12.697	-39
107	tf_efficientnet_b6.ns_jft_in1k	528	61.760	38.240	85.000	15.000	43.04	0.942	bicubic	-35.860	-14.590	+27
108	beitv2_base_patch16_224.in1k_ft_in22k_in1k	224	61.480	38.520	85.573	14.427	86.53	0.900	bicubic	-36.220	-14.107	+13
109	swin_large_patch4_window7_224.ms_in22k_ft_in1k	224	61.333	38.667	86.600	13.400	196.53	0.900	bicubic	-36.317	-12.970	+19
110	convnext_base.fb_in22k_ft_in1k	288	61.240	38.760	86.467	13.533	88.59	1.000	bicubic	-36.610	-13.203	-17
111	vit_large_r50_s32_384.augreg_in21k_ft_in1k	384	61.187	38.813	83.827	16.173	329.09	1.000	bicubic	-36.663	-15.813	-17
112	convnext_xlarge.fb_in22k_ft_in1k	224	61.147	38.853	85.467	14.533	350.20	1.000	bicubic	-36.753	-14.263	-25
113	seresnextaa101d_32x8d.sw_in12k_ft_in1k	288	61.133	38.867	85.840	14.160	93.59	1.000	bicubic	-36.807	-13.830	-30
114	caformer_m36.sail_in22k_ft_in1k	224	60.973	39.027	84.960	15.040	56.20	1.000	bicubic	-36.867	-14.720	-17
115	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	256	60.747	39.253	86.693	13.307	200.13	1.000	bicubic	-37.233	-12.997	-39
116	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	224	60.693	39.307	84.413	15.587	73.88	0.950	bicubic	-36.947	-15.157	+13
117	convnext_small.in12k_ft_in1k_384	384	60.507	39.493	84.813	15.187	50.22	1.000	bicubic	-37.293	-14.847	-11
118	regnety_160.swag_lc_in1k	224	60.493	39.507	85.867	14.133	83.59	0.965	bicubic	-36.337	-13.533	+192
119	caformer_m36.sail_in1k_384	384	60.267	39.733	84.760	15.240	56.20	1.000	bicubic	-37.183	-14.840	+49
120	deit3_large_patch16_384.fb_in1k	384	60.227	39.773	85.547	14.453	304.76	1.000	bicubic	-37.203	-14.073	+52
121	coatnet_2_rw_224.sw_in12k_ft_in1k	224	60.160	39.840	84.613	15.387	73.87	0.950	bicubic	-37.370	-15.017	+31
122	vit_large_patch14_clip_224.laion2b_ft_in1k	224	60.040	39.960	85.840	14.160	304.20	1.000	bicubic	-37.870	-13.810	-37
123	tf_efficientnet_b5.ns_jft_in1k	456	59.920	40.080	84.293	15.707	30.39	0.934	bicubic	-37.580	-15.287	+32
124	xcit_large_24_p8_384.fb_dist_in1k	384	59.880	40.120	85.387	14.613	188.93	1.000	bicubic	-37.650	-14.153	+29
125	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	224	59.867	40.133	84.973	15.027	116.09	0.950	bicubic	-37.883	-14.647	-10
126	efficientvit_l3.r320_in1k	320	59.853	40.147	84.907	15.093	246.04	1.000	bicubic	-37.537	-14.483	+55
127	vit_base_patch16_clip_384.openai_ft_in12k_in1k	384	59.600	40.400	84.187	15.813	86.86	0.950	bicubic	-38.590	-15.473	-77
128	resnetv2_152x4_bit.goog_in21k_ft_in1k	480	59.587	40.413	83.173	16.827	936.53	1.000	bilinear	-37.883	-16.347	+34
129	convnextv2_huge.fcmae_ft_in1k	224	59.133	40.867	83.533	16.467	660.29	1.000	bicubic	-38.517	-16.037	-2
130	tf_efficientnetv2_m.in21k_ft_in1k	480	59.120	40.880	84.493	15.507	54.14	1.000	bicubic	-38.690	-15.197	-25
131	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	384	58.840	41.160	85.787	14.213	88.59	1.000	bicubic	-39.210	-13.963	-63
132	maxvit_tiny_tf_512.in1k	512	58.640	41.360	84.667	15.333	31.05	1.000	bicubic	-38.940	-14.893	+12
133	vit_base_patch8_224.augreg_in21k_ft_in1k	224	58.467	41.533	82.573	17.427	86.58	0.900	bicubic	-39.133	-17.147	+6
134	volo_d2_384.sail_in1k	384	58.427	41.573	84.280	15.720	58.87	1.000	bicubic	-38.893	-15.320	+62
135	caformer_s18.sail_in22k_ft_in1k_384	384	58.387	41.613	85.440	14.560	26.34	1.000	bicubic	-39.063	-14.150	+34
136	tiny_vit_21m_384.dist_in22k_ft_in1k	384	58.320	41.680	83.653	16.347	21.23	1.000	bicubic	-39.290	-15.957	0
137	tf_efficientnetv2_xl.in21k_ft_in1k	384	58.200	41.800	80.827	19.173	208.12	1.000	bicubic	-39.200	-18.683	+42
138	nextvit_small.bd_ssld_6m_in1k_384	384	58.093	41.907	85.373	14.627	31.76	1.000	bicubic	-39.687	-14.217	-27
139	vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	58.013	41.987	83.173	16.827	64.11	0.950	bicubic	-39.617	-16.367	-9
140	hiera_large_224.mae_in1k_ft_in1k	224	58.000	42.000	81.680	18.320	213.74	0.900	bicubic	-39.440	-17.780	+31
141	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	224	57.933	42.067	80.733	19.267	468.53	0.875	bilinear	-39.447	-18.767	+41
142	tiny_vit_21m_512.dist_in22k_ft_in1k	512	57.787	42.213	83.120	16.880	21.27	1.000	bicubic	-40.113	-16.560	-53
143	efficientvit_l2.r384_in1k	384	57.773	42.227	83.747	16.253	63.71	1.000	bicubic	-39.587	-15.693	+45
144	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	384	57.773	42.227	81.893	18.107	86.86	1.000	bicubic	-40.237	-17.747	-72
145	cait_m36_384.fb_dist_in1k	384	57.667	42.333	84.680	15.320	271.22	1.000	bicubic	-39.733	-14.820	+31
146	hgnetv2_b6.ssld_stage2_ft_in1k	288	57.547	42.453	84.173	15.827	75.26	1.000	bicubic	-40.263	-15.437	-42
147	convnext_large.fb_in22k_ft_in1k	224	57.347	42.653	83.840	16.160	197.77	1.000	bicubic	-40.663	-15.820	-75
148	dm_nfnet_f5.dm_in1k	544	57.347	42.653	82.080	17.920	377.21	0.954	bicubic	-40.433	-17.630	-35
149	tf_efficientnetv2_l.in21k_ft_in1k	384	57.280	42.720	82.307	17.693	118.52	1.000	bicubic	-40.170	-17.333	+16
150	convnext_base.clip_laiona_augreg_ft_in1k_384	384	57.173	42.827	84.720	15.280	88.59	1.000	bicubic	-40.437	-14.830	-14
151	deit3_base_patch16_224.fb_in22k_ft_in1k	224	57.173	42.827	83.467	16.533	86.59	1.000	bicubic	-40.317	-16.133	+8
152	caformer_s36.sail_in1k_384	384	57.120	42.880	82.640	17.360	39.30	1.000	bicubic	-40.280	-16.900	+23
153	deit3_small_patch16_384.fb_in22k_ft_in1k	384	57.107	42.893	83.000	17.000	22.21	1.000	bicubic	-40.023	-16.660	+86
154	convnextv2_large.fcmae_ft_in1k	288	57.080	42.920	83.587	16.413	197.96	1.000	bicubic	-40.580	-16.013	-28
155	hgnetv2_b6.ssld_stage1_in22k_in1k	288	57.027	42.973	84.187	15.813	75.26	1.000	bicubic	-40.783	-15.503	-52
156	volo_d5_224.sail_in1k	224	56.827	43.173	82.760	17.240	295.46	0.960	bicubic	-40.533	-16.810	+30
157	dm_nfnet_f6.dm_in1k	576	56.773	43.227	81.533	18.467	438.36	0.956	bicubic	-40.997	-18.117	-44
158	convnextv2_base.fcmae_ft_in22k_in1k	224	56.760	43.240	83.040	16.960	88.72	1.000	bicubic	-41.220	-16.660	-81
159	maxvit_small_tf_384.in1k	384	56.733	43.267	82.200	17.800	69.02	1.000	bicubic	-40.667	-17.270	+18
160	xcit_medium_24_p8_384.fb_dist_in1k	384	56.693	43.307	83.600	16.400	84.32	1.000	bicubic	-40.607	-15.930	+40
161	regnety_160.lion_in12k_ft_in1k	288	56.613	43.387	83.733	16.267	83.59	1.000	bicubic	-40.837	-15.907	+5
162	rdnet_large.nv_in1k_ft_in1k_384	384	56.613	43.387	83.000	17.000	186.27	1.000	bicubic	-41.057	-16.550	-37
163	regnety_160.sw_in12k_ft_in1k	288	56.267	43.733	82.840	17.160	83.59	1.000	bicubic	-41.223	-16.760	-4
164	convformer_m36.sail_in22k_ft_in1k	224	56.253	43.747	82.227	17.773	57.05	1.000	bicubic	-41.337	-17.363	-23
165	dm_nfnet_f4.dm_in1k	512	56.213	43.787	81.347	18.653	316.07	0.951	bicubic	-41.417	-18.273	-33
166	efficientvit_l3.r256_in1k	256	56.187	43.813	81.480	18.520	246.04	1.000	bicubic	-40.843	-17.750	+97
167	caformer_s36.sail_in22k_ft_in1k	224	55.573	44.427	81.973	18.027	39.30	1.000	bicubic	-42.037	-17.617	-32
168	convformer_b36.sail_in1k_384	384	55.480	44.520	81.280	18.720	99.88	1.000	bicubic	-42.060	-18.390	-20
169	vit_large_patch16_224.augreg_in21k_ft_in1k	224	55.320	44.680	79.747	20.253	304.33	0.900	bicubic	-42.310	-19.843	-38
170	vit_base_patch16_clip_384.openai_ft_in1k	384	54.480	45.520	82.360	17.640	86.86	1.000	bicubic	-43.060	-17.160	-23
171	xcit_small_24_p8_384.fb_dist_in1k	384	54.387	45.613	81.707	18.293	47.63	1.000	bicubic	-42.893	-17.953	+32
172	vit_base_r50_s16_384.orig_in21k_ft_in1k	384	54.347	45.653	80.813	19.187	98.95	1.000	bicubic	-42.833	-18.747	+56
173	deit3_huge_patch14_224.fb_in1k	224	54.320	45.680	82.093	17.907	632.13	0.900	bicubic	-42.580	-17.387	+121
174	cait_s36_384.fb_dist_in1k	384	54.213	45.787	81.267	18.733	68.37	1.000	bicubic	-43.137	-18.263	+15
175	seresnextaa101d_32x8d.sw_in12k_ft_in1k	224	54.200	45.800	80.933	19.067	93.59	1.000	bicubic	-43.520	-18.687	-56
176	resnetv2_152x2_bit.goog_in21k_ft_in1k	448	54.000	46.000	82.000	18.000	236.34	1.000	bilinear	-43.020	-17.590	+88
177	volo_d1_384.sail_in1k	384	53.907	46.093	80.880	19.120	26.78	1.000	bicubic	-43.023	-18.500	+109
178	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	384	53.787	46.213	81.493	18.507	39.03	0.950	bicubic	-43.663	-18.047	-12
179	beitv2_base_patch16_224.in1k_ft_in1k	224	53.640	46.360	81.827	18.173	86.53	0.900	bicubic	-43.530	-17.633	+51
180	convformer_m36.sail_in1k_384	384	53.613	46.387	80.867	19.133	57.05	1.000	bicubic	-43.787	-18.513	-2
181	dm_nfnet_f3.dm_in1k	416	53.560	46.440	79.293	20.707	254.92	0.940	bicubic	-43.920	-20.267	-20
182	vit_base_patch16_clip_384.laion2b_ft_in1k	384	53.440	46.560	80.360	19.640	86.86	1.000	bicubic	-44.300	-19.270	-65
183	deit3_base_patch16_384.fb_in1k	384	53.293	46.707	80.507	19.493	86.88	1.000	bicubic	-43.717	-18.733	+84
184	convnext_small.fb_in22k_ft_in1k_384	384	53.160	46.840	81.467	18.533	50.22	1.000	bicubic	-44.460	-18.133	-51
185	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	224	53.013	46.987	76.893	23.107	194.03	0.875	bilinear	-43.867	-22.677	+114
186	convnext_small.in12k_ft_in1k	288	52.987	47.013	81.307	18.693	50.22	1.000	bicubic	-44.353	-18.273	+6
187	volo_d4_224.sail_in1k	224	52.867	47.133	80.547	19.453	192.96	0.960	bicubic	-44.433	-18.963	+12
188	xcit_large_24_p16_384.fb_dist_in1k	384	52.827	47.173	81.733	18.267	189.10	1.000	bicubic	-44.713	-17.747	-38
189	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	256	52.507	47.493	82.760	17.240	88.59	1.000	bicubic	-45.093	-16.750	-51
190	resnetv2_101x3_bit.goog_in21k_ft_in1k	448	52.467	47.533	79.827	20.173	387.93	1.000	bilinear	-44.543	-19.543	+76
191	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	448	52.360	47.640	80.053	19.947	88.34	1.000	bicubic	-44.970	-19.417	+4
192	maxvit_tiny_tf_384.in1k	384	52.040	47.960	79.893	20.107	30.98	1.000	bicubic	-45.270	-19.607	+5
193	dm_nfnet_f5.dm_in1k	416	51.987	48.013	77.493	22.507	377.21	0.954	bicubic	-45.483	-22.147	-29
194	swin_base_patch4_window7_224.ms_in22k_ft_in1k	224	51.813	48.187	80.413	19.587	87.77	0.900	bicubic	-45.467	-19.177	+12
195	regnety_120.sw_in12k_ft_in1k	288	51.773	48.227	80.653	19.347	51.82	1.000	bicubic	-45.497	-18.907	+15
196	efficientvit_l3.r224_in1k	224	51.720	48.280	79.080	20.920	246.04	1.000	bicubic	-45.280	-20.450	+76
197	convnext_small.fb_in22k_ft_in1k	288	51.547	48.453	81.333	18.667	50.22	1.000	bicubic	-45.803	-18.157	-7
198	dm_nfnet_f6.dm_in1k	448	51.507	48.493	76.533	23.467	438.36	0.956	bicubic	-46.203	-23.067	-78
199	convnext_base.fb_in22k_ft_in1k	224	51.453	48.547	80.333	19.667	88.59	1.000	bicubic	-46.017	-19.287	-36
200	efficientvit_l2.r288_in1k	288	51.347	48.653	79.973	20.027	63.71	1.000	bicubic	-45.713	-19.397	+58
201	convnextv2_large.fcmae_ft_in1k	224	51.293	48.707	79.200	20.800	197.96	1.000	bicubic	-46.197	-20.370	-44
202	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	224	51.213	48.787	78.240	21.760	88.79	0.875	bilinear	-46.007	-21.350	+16
203	eva02_small_patch14_336.mim_in22k_ft_in1k	336	51.093	48.907	78.987	21.013	22.13	1.000	bicubic	-46.067	-20.473	+30
204	tf_efficientnet_b4.ns_jft_in1k	380	50.987	49.013	79.027	20.973	19.34	0.922	bicubic	-45.963	-20.353	+75
205	efficientnet_b5.sw_in12k_ft_in1k	448	50.987	49.013	78.667	21.333	30.39	1.000	bicubic	-46.403	-20.883	-24
206	tf_efficientnetv2_m.in21k_ft_in1k	384	50.920	49.080	78.507	21.493	54.14	1.000	bicubic	-46.280	-20.953	+17
207	flexivit_large.1200ep_in1k	240	50.907	49.093	80.467	19.533	304.36	0.950	bicubic	-46.513	-19.153	-33
208	beit_base_patch16_224.in22k_ft_in22k_in1k	224	50.747	49.253	79.893	20.107	86.53	0.900	bicubic	-46.313	-19.717	+49
209	mvitv2_large.fb_in1k	224	50.640	49.360	78.067	21.933	217.99	0.900	bicubic	-46.300	-21.273	+74
210	xcit_small_12_p8_384.fb_dist_in1k	384	50.627	49.373	79.800	20.200	26.21	1.000	bicubic	-46.603	-19.730	+7
211	dm_nfnet_f4.dm_in1k	384	50.307	49.693	76.053	23.947	316.07	0.951	bicubic	-47.043	-23.477	-20
212	vit_base_patch16_clip_224.openai_ft_in12k_in1k	224	50.253	49.747	77.440	22.560	86.57	0.950	bicubic	-47.287	-22.060	-63
213	convformer_s18.sail_in22k_ft_in1k_384	384	50.213	49.787	81.013	18.987	26.77	1.000	bicubic	-47.067	-18.487	-8
214	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	224	50.187	49.813	78.133	21.867	86.57	0.950	bicubic	-47.263	-21.487	-44
215	tf_efficientnetv2_l.in1k	480	50.173	49.827	77.560	22.440	118.52	1.000	bicubic	-47.347	-21.990	-61
216	convnext_tiny.in12k_ft_in1k_384	384	50.120	49.880	79.733	20.267	28.59	1.000	bicubic	-47.210	-19.867	-22
217	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	384	50.107	49.893	77.667	22.333	236.34	1.000	bicubic	-46.713	-21.703	+95
218	convformer_s36.sail_in1k_384	384	50.080	49.920	78.920	21.080	40.01	1.000	bicubic	-47.200	-20.630	-11
219	vit_base_patch16_384.orig_in21k_ft_in1k	384	50.080	49.920	77.587	22.413	86.86	1.000	bicubic	-46.630	-21.893	+122
220	volo_d3_224.sail_in1k	224	50.013	49.987	78.240	21.760	86.33	0.960	bicubic	-47.087	-21.370	+28
221	flexivit_large.600ep_in1k	240	49.973	50.027	79.960	20.040	304.36	0.950	bicubic	-47.307	-19.700	-17
222	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	544	49.787	50.213	78.507	21.493	32.59	1.000	bicubic	-47.383	-20.883	+7
223	hgnetv2_b6.ssld_stage1_in22k_in1k	224	49.773	50.227	79.080	20.920	75.26	1.000	bicubic	-47.797	-20.550	-78
224	vit_base_patch16_224.augreg2_in21k_ft_in1k	224	49.720	50.280	78.787	21.213	86.57	0.900	bicubic	-47.470	-20.753	+2
225	vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	49.707	50.293	78.427	21.573	60.40	0.950	bicubic	-47.633	-21.063	-32
226	nextvit_large.bd_ssld_6m_in1k	224	49.547	50.453	80.813	19.187	57.87	0.950	bicubic	-47.833	-18.867	-43
227	inception_next_base.sail_in1k_384	384	49.453	50.547	78.507	21.493	86.67	1.000	bicubic	-47.817	-21.033	-16
228	cait_s24_384.fb_dist_in1k	384	49.427	50.573	78.653	21.347	47.06	1.000	bicubic	-47.643	-20.737	+27
229	nextvit_large.bd_in1k_384	384	49.360	50.640	78.440	21.560	57.87	1.000	bicubic	-47.660	-21.070	+36
230	hgnetv2_b6.ssld_stage2_ft_in1k	224	49.320	50.680	78.773	21.227	75.26	1.000	bicubic	-48.210	-20.837	-79
231	xcit_medium_24_p16_384.fb_dist_in1k	384	49.253	50.747	79.747	20.253	84.40	1.000	bicubic	-48.057	-19.713	-33
232	hiera_base_plus_224.mae_in1k_ft_in1k	224	49.173	50.827	76.507	23.493	69.90	0.900	bicubic	-47.767	-22.893	+52
233	deit_base_distilled_patch16_384.fb_in1k	384	49.027	50.973	79.013	20.987	87.63	1.000	bicubic	-47.953	-20.317	+42
234	caformer_s18.sail_in1k_384	384	48.973	51.027	78.733	21.267	26.34	1.000	bicubic	-48.107	-20.817	+20
235	coat_lite_medium_384.in1k	384	48.840	51.160	78.520	21.480	44.57	1.000	bicubic	-48.310	-21.150	0
236	convnext_base.clip_laion2b_augreg_ft_in1k	256	48.693	51.307	79.933	20.067	88.59	1.000	bicubic	-48.577	-19.567	-27
237	convnextv2_base.fcmae_ft_in1k	288	48.613	51.387	78.880	21.120	88.72	1.000	bicubic	-48.627	-20.630	-24
238	caformer_b36.sail_in1k	224	48.600	51.400	75.627	24.373	98.75	1.000	bicubic	-48.400	-23.643	+33
239	efficientvit_l2.r256_in1k	256	48.587	51.413	77.907	22.093	63.71	1.000	bicubic	-48.263	-21.363	+67
240	deit3_large_patch16_224.fb_in1k	224	48.547	51.453	77.973	22.027	304.37	0.900	bicubic	-48.433	-21.307	+36
241	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	384	48.480	51.520	77.347	22.653	88.30	1.000	bicubic	-48.900	-22.323	-57
242	flexivit_large.300ep_in1k	240	48.453	51.547	78.627	21.373	304.36	0.950	bicubic	-48.797	-20.863	-30
243	deit3_medium_patch16_224.fb_in22k_ft_in1k	224	48.200	51.800	77.080	22.920	38.85	1.000	bicubic	-48.790	-22.350	+30
244	tf_efficientnetv2_s.in21k_ft_in1k	384	48.067	51.933	77.653	22.347	21.46	1.000	bicubic	-48.683	-21.717	+83
245	tf_efficientnet_b8.ra_in1k	672	48.013	51.987	76.467	23.533	87.41	0.954	bicubic	-49.197	-23.033	-25
246	xcit_large_24_p8_224.fb_dist_in1k	224	47.907	52.093	79.147	20.853	188.93	1.000	bicubic	-49.143	-20.273	+13
247	regnetz_e8.ra3_in1k	320	47.800	52.200	76.200	23.800	57.70	1.000	bicubic	-49.420	-23.300	-28
248	regnety_2560.seer_ft_in1k	384	47.693	52.307	76.320	23.680	1,282.60	1.000	bicubic	-49.547	-23.220	-33
249	resnest269e.in1k	416	47.640	52.360	74.080	25.920	110.93	0.928	bicubic	-48.880	-25.290	+148
250	regnety_160.lion_in12k_ft_in1k	224	47.627	52.373	77.427	22.573	83.59	1.000	bicubic	-49.513	-22.063	-13
251	convnext_tiny.in12k_ft_in1k	288	47.533	52.467	78.973	21.027	28.59	1.000	bicubic	-49.567	-20.547	-4
252	vit_base_patch16_clip_224.openai_ft_in1k	224	47.413	52.587	78.040	21.960	86.57	0.900	bicubic	-49.677	-21.420	-3
253	convformer_s36.sail_in22k_ft_in1k	224	47.347	52.653	77.267	22.733	40.01	1.000	bicubic	-49.733	-22.163	-1
254	resnetv2_50x3_bit.goog_in21k_ft_in1k	448	47.307	52.693	77.333	22.667	217.32	1.000	bilinear	-49.423	-22.197	+78
255	nextvit_base.bd_ssld_6m_in1k	224	47.293	52.707	78.693	21.307	44.82	0.950	bicubic	-49.987	-20.827	-53
256	regnety_160.sw_in12k_ft_in1k	224	47.200	52.800	77.027	22.973	83.59	1.000	bicubic	-49.910	-22.533	-14
257	xcit_large_24_p8_224.fb_in1k	224	46.867	53.133	74.400	25.600	188.93	1.000	bicubic	-49.533	-24.600	+171
258	xcit_small_24_p16_384.fb_dist_in1k	384	46.773	53.227	76.987	23.013	47.67	1.000	bicubic	-50.357	-22.453	-18
259	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	480	46.720	53.280	77.387	22.613	32.59	1.000	bicubic	-50.460	-22.173	-32
260	convnext_large.fb_in1k	288	46.667	53.333	76.733	23.267	197.77	1.000	bicubic	-50.423	-22.717	-9
261	tf_efficientnet_b8.ap_in1k	672	46.520	53.480	76.173	23.827	87.41	0.954	bicubic	-50.610	-23.327	-23
262	hgnet_base.ssld_in1k	288	46.453	53.547	76.067	23.933	71.58	1.000	bicubic	-50.967	-23.533	-89
263	nextvit_base.bd_in1k_384	384	46.387	53.613	76.800	23.200	44.82	1.000	bicubic	-50.523	-22.420	+29
264	convnext_small.in12k_ft_in1k	224	46.347	53.653	75.987	24.013	50.22	1.000	bicubic	-51.013	-23.573	-77
265	efficientnetv2_rw_m.agc_in1k	416	46.267	53.733	75.707	24.293	53.24	1.000	bicubic	-50.733	-23.813	+4
266	vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	46.200	53.800	76.987	23.013	38.88	0.950	bicubic	-50.970	-22.593	-35
267	dm_nfnet_f2.dm_in1k	352	46.120	53.880	74.640	25.360	193.78	0.920	bicubic	-50.990	-24.870	-24
268	hgnetv2_b5.ssld_stage2_ft_in1k	288	45.947	54.053	77.773	22.227	39.57	1.000	bicubic	-51.423	-21.897	-83
269	volo_d2_224.sail_in1k	224	45.893	54.107	75.147	24.853	58.68	0.960	bicubic	-51.097	-24.243	+5
270	swinv2_base_window16_256.ms_in1k	256	45.893	54.107	75.107	24.893	87.92	0.900	bicubic	-50.877	-24.223	+54
271	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	224	45.867	54.133	72.093	27.907	194.03	0.875	bilinear	-50.753	-27.187	+92
272	caformer_m36.sail_in1k	224	45.773	54.227	74.480	25.520	56.20	1.000	bicubic	-51.117	-25.000	+26
273	ecaresnet269d.ra2_in1k	352	45.747	54.253	74.933	25.067	102.09	1.000	bicubic	-51.343	-24.547	-23
274	swin_base_patch4_window12_384.ms_in1k	384	45.413	54.587	74.613	25.387	87.90	1.000	bicubic	-51.167	-24.857	+106
275	vit_small_patch16_384.augreg_in21k_ft_in1k	384	45.400	54.600	76.107	23.893	22.20	1.000	bicubic	-51.310	-23.373	+68
276	dm_nfnet_f3.dm_in1k	320	45.373	54.627	72.387	27.613	254.92	0.940	bicubic	-51.817	-27.153	-51
277	vit_small_r26_s32_384.augreg_in21k_ft_in1k	384	45.280	54.720	75.493	24.507	36.47	1.000	bicubic	-51.410	-23.577	+70
278	tf_efficientnet_b7.ap_in1k	600	45.240	54.760	74.027	25.973	66.35	0.949	bicubic	-51.960	-25.513	-57
279	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	224	45.240	54.760	70.853	29.147	88.79	0.875	bilinear	-51.060	-28.377	+187
280	xcit_medium_24_p8_224.fb_dist_in1k	224	45.227	54.773	76.760	23.240	84.32	1.000	bicubic	-51.703	-22.800	+7
281	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	224	45.133	54.867	73.960	26.040	41.72	0.950	bicubic	-51.537	-25.200	+78
282	convnextv2_tiny.fcmae_ft_in22k_in1k_384	384	45.120	54.880	76.587	23.413	28.64	1.000	bicubic	-52.120	-22.963	-68
283	eca_nfnet_l2.ra3_in1k	384	44.773	55.227	75.667	24.333	56.72	1.000	bicubic	-52.307	-23.843	-30
284	maxxvit_rmlp_small_rw_256.sw_in1k	256	44.493	55.507	75.133	24.867	66.01	0.950	bicubic	-52.297	-24.237	+36
285	tiny_vit_21m_224.dist_in22k_ft_in1k	224	44.293	55.707	74.947	25.053	21.20	0.950	bicubic	-52.907	-24.543	-63
286	rexnetr_300.sw_in12k_ft_in1k	288	44.053	55.947	76.707	23.293	34.81	1.000	bicubic	-52.807	-22.813	+19
287	tf_efficientnetv2_l.in1k	384	44.053	55.947	72.000	28.000	118.52	1.000	bicubic	-53.227	-27.430	-80
288	resnest200e.in1k	320	44.027	55.973	73.400	26.600	70.20	0.909	bicubic	-52.583	-25.810	+80
289	crossvit_18_dagger_408.in1k	408	43.880	56.120	73.573	26.427	44.61	1.000	bicubic	-52.660	-25.697	+105
290	mvitv2_base.fb_in1k	224	43.747	56.253	74.507	25.493	51.47	0.900	bicubic	-53.023	-24.743	+35
291	cait_xs24_384.fb_dist_in1k	384	43.640	56.360	74.840	25.160	26.67	1.000	bicubic	-52.930	-24.620	+92
292	seresnextaa101d_32x8d.ah_in1k	288	43.640	56.360	73.160	26.840	93.59	1.000	bicubic	-53.320	-26.230	-13
293	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	448	43.480	56.520	74.347	25.653	32.59	1.000	bicubic	-53.420	-24.983	+1
294	resnetrs200.tf_in1k	320	43.480	56.520	72.520	27.480	93.21	1.000	bicubic	-53.240	-26.980	+46
295	swin_small_patch4_window7_224.ms_in22k_ft_in1k	224	43.453	56.547	76.267	23.733	49.61	0.900	bicubic	-53.097	-23.073	+94
296	ecaresnet269d.ra2_in1k	320	43.400	56.600	72.640	27.360	102.09	1.000	bicubic	-53.550	-26.760	-14
297	caformer_s18.sail_in22k_ft_in1k	224	43.333	56.667	74.880	25.120	26.34	1.000	bicubic	-53.377	-24.630	+44
298	hiera_base_224.mae_in1k_ft_in1k	224	43.333	56.667	73.160	26.840	51.52	0.900	bicubic	-53.257	-26.170	+78
299	hgnetv2_b5.ssld_stage1_in22k_in1k	288	43.293	56.707	75.267	24.733	39.57	1.000	bicubic	-53.987	-24.333	-98
300	regnety_120.sw_in12k_ft_in1k	224	43.280	56.720	73.373	26.627	51.82	1.000	bicubic	-53.870	-26.047	-64
301	xcit_small_12_p16_384.fb_dist_in1k	384	43.227	56.773	74.000	26.000	26.25	1.000	bicubic	-53.723	-25.580	-20
302	tresnet_xl.miil_in1k_448	448	43.213	56.787	72.147	27.853	78.44	0.875	bilinear	-52.757	-26.973	+269
303	vit_base_patch16_224.augreg_in21k_ft_in1k	224	43.133	56.867	72.747	27.253	86.57	0.900	bicubic	-53.747	-26.783	-2
304	xcit_medium_24_p8_224.fb_in1k	224	43.093	56.907	70.080	29.920	84.32	1.000	bicubic	-53.027	-28.810	+221
305	rdnet_large.nv_in1k	224	42.973	57.027	73.667	26.333	186.27	0.900	bicubic	-53.947	-25.733	-14
306	edgenext_base.in21k_ft_in1k	320	42.773	57.227	75.427	24.573	18.51	1.000	bicubic	-53.967	-23.863	+23
307	hrnet_w48_ssld.paddle_in1k	288	42.667	57.333	72.120	27.880	77.47	1.000	bilinear	-54.373	-27.260	-47
308	efficientvit_l2.r224_in1k	224	42.653	57.347	74.320	25.680	63.71	1.000	bicubic	-54.187	-25.130	+1
309	vit_base_patch32_clip_384.openai_ft_in12k_in1k	384	42.627	57.373	72.653	27.347	88.30	0.950	bicubic	-54.483	-26.857	-65
310	nextvit_small.bd_ssld_6m_in1k	224	42.573	57.427	75.467	24.533	31.76	0.950	bicubic	-54.387	-24.023	-32
311	coatnet_rmlp_2_rw_224.sw_in1k	224	42.547	57.453	71.040	28.960	73.88	0.950	bicubic	-53.983	-28.040	+84
312	gcvit_base.in1k	224	42.520	57.480	73.440	26.560	90.32	0.875	bicubic	-54.040	-25.910	+75
313	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	256	42.467	57.533	74.347	25.653	38.86	0.950	bicubic	-54.213	-25.023	+39
314	resnetrs420.tf_in1k	416	42.427	57.573	70.147	29.853	191.89	1.000	bicubic	-54.493	-29.283	-25
315	tf_efficientnetv2_m.in1k	480	42.400	57.600	72.213	27.787	54.14	1.000	bicubic	-54.830	-27.267	-99
316	maxvit_large_tf_224.in1k	224	42.387	57.613	69.200	30.800	211.79	0.950	bicubic	-54.623	-30.290	-48
317	xcit_tiny_24_p8_384.fb_dist_in1k	384	42.267	57.733	72.773	27.227	12.11	1.000	bicubic	-54.313	-26.547	+60
318	swinv2_small_window16_256.ms_in1k	256	42.267	57.733	72.747	27.253	49.73	0.900	bicubic	-54.203	-26.413	+92
319	tf_efficientnet_b7.ra_in1k	600	42.267	57.733	72.520	27.480	66.35	0.949	bicubic	-54.733	-26.830	-48
320	convformer_s18.sail_in1k_384	384	42.227	57.773	74.013	25.987	26.77	1.000	bicubic	-54.813	-25.627	-59
321	dm_nfnet_f1.dm_in1k	320	42.227	57.773	71.293	28.707	132.63	0.910	bicubic	-54.843	-28.117	-65
322	maxvit_rmlp_small_rw_224.sw_in1k	224	42.187	57.813	72.373	27.627	64.90	0.900	bicubic	-54.373	-26.757	+66
323	maxvit_base_tf_224.in1k	224	42.080	57.920	70.120	29.880	119.47	0.950	bicubic	-54.900	-29.370	-46
324	convnext_tiny.fb_in22k_ft_in1k_384	384	42.013	57.987	73.533	26.467	28.59	1.000	bicubic	-55.097	-25.967	-79
325	vit_base_patch16_clip_224.laion2b_ft_in1k	224	41.960	58.040	74.013	25.987	86.57	1.000	bicubic	-55.160	-25.447	-84
326	convnext_base.fb_in1k	288	41.907	58.093	73.840	26.160	88.59	1.000	bicubic	-54.913	-25.550	-13
327	nextvit_small.bd_in1k_384	384	41.827	58.173	72.787	27.213	31.76	1.000	bicubic	-54.993	-26.673	-12
328	crossvit_15_dagger_408.in1k	408	41.827	58.173	72.013	27.987	28.50	1.000	bicubic	-54.583	-27.137	+98
329	convnextv2_tiny.fcmae_ft_in22k_in1k	288	41.733	58.267	75.133	24.867	28.64	1.000	bicubic	-55.107	-24.117	-21
330	vit_large_r50_s32_224.augreg_in21k_ft_in1k	224	41.667	58.333	70.307	29.693	328.99	0.900	bicubic	-55.123	-29.023	-8
331	xcit_small_24_p8_224.fb_in1k	224	41.653	58.347	70.867	29.133	47.63	1.000	bicubic	-54.777	-28.263	+88
332	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	224	41.600	58.400	71.853	28.147	44.18	0.875	bilinear	-54.840	-27.517	+84
333	xcit_small_24_p8_224.fb_dist_in1k	224	41.533	58.467	73.667	26.333	47.63	1.000	bicubic	-55.357	-25.773	-36
334	resnetaa101d.sw_in12k_ft_in1k	288	41.533	58.467	72.467	27.533	44.57	1.000	bicubic	-55.137	-26.893	+23
335	vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k	256	41.467	58.533	71.667	28.333	63.95	0.950	bicubic	-55.143	-27.683	+35
336	convnextv2_base.fcmae_ft_in1k	224	41.280	58.720	72.613	27.387	88.72	1.000	bicubic	-55.640	-26.847	-46
337	convnext_small.fb_in22k_ft_in1k	224	41.200	58.800	73.867	26.133	50.22	1.000	bicubic	-56.000	-25.603	-113
338	swinv2_base_window8_256.ms_in1k	256	41.160	58.840	72.560	27.440	87.92	0.900	bicubic	-55.390	-26.850	+53
339	regnetz_e8.ra3_in1k	256	41.093	58.907	70.773	29.227	57.70	1.000	bicubic	-55.727	-28.647	-25
340	deit3_small_patch16_224.fb_in22k_ft_in1k	224	41.053	58.947	71.907	28.093	22.06	1.000	bicubic	-55.617	-27.423	+18
341	caformer_s36.sail_in1k	224	41.027	58.973	70.920	29.080	39.30	1.000	bicubic	-55.693	-28.510	-4
342	seresnext101d_32x8d.ah_in1k	288	40.960	59.040	70.813	29.187	93.59	1.000	bicubic	-55.760	-28.567	-4
343	davit_base.msft_in1k	224	40.787	59.213	72.587	27.413	87.95	0.950	bicubic	-56.143	-26.663	-55
344	maxvit_rmlp_tiny_rw_256.sw_in1k	256	40.733	59.267	70.880	29.120	29.15	0.950	bicubic	-55.687	-28.510	+76
345	regnety_1280.seer_ft_in1k	384	40.640	59.360	70.547	29.453	644.81	1.000	bicubic	-56.230	-28.853	-42
346	flexivit_base.1200ep_in1k	240	40.587	59.413	72.187	27.813	86.59	0.950	bicubic	-56.173	-27.173	-20
347	tf_efficientnet_b6.ap_in1k	528	40.373	59.627	71.373	28.627	43.04	0.942	bicubic	-56.727	-28.087	-101
348	resmlp_big_24_224.fb_in22k_ft_in1k	224	40.333	59.667	74.560	25.440	129.14	0.875	bicubic	-56.267	-24.940	+23
349	convformer_b36.sail_in1k	224	40.280	59.720	69.107	30.893	99.88	1.000	bicubic	-56.630	-30.293	-56
350	deit3_small_patch16_384.fb_in1k	384	40.227	59.773	70.000	30.000	22.21	1.000	bicubic	-55.983	-29.270	+141
351	tresnet_l.miil_in1k_448	448	40.133	59.867	69.720	30.280	55.99	0.875	bilinear	-55.757	-29.390	+235
352	deit_base_patch16_384.fb_in1k	384	39.880	60.120	70.427	29.573	86.86	1.000	bicubic	-56.300	-28.913	+152
353	flexivit_base.600ep_in1k	240	39.840	60.160	71.667	28.333	86.59	0.950	bicubic	-56.780	-27.643	+11
354	mobilenetv4_hybrid_large.ix_e600_r384_in1k	448	39.707	60.293	72.480	27.520	37.76	1.000	bicubic	-56.893	-26.900	+20
355	regnetz_040_h.ra3_in1k	320	39.707	60.293	70.960	29.040	28.94	1.000	bicubic	-57.013	-28.410	-20
356	vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	256	39.693	60.307	71.227	28.773	22.52	0.950	bicubic	-56.677	-27.993	+80
357	vit_base_patch16_rope_reg1_gap_256.sbb_in1k	256	39.680	60.320	70.453	29.547	86.43	0.950	bicubic	-56.740	-28.667	+66
358	swin_s3_base_224.ms_in1k	224	39.627	60.373	70.613	29.387	71.13	0.900	bicubic	-56.643	-28.537	+113
359	mobilenetv4_hybrid_large.e600_r384_in1k	448	39.600	60.400	72.867	27.133	37.76	1.000	bicubic	-57.100	-26.373	-14
360	regnetz_d8.ra3_in1k	320	39.507	60.493	71.227	28.773	23.37	1.000	bicubic	-57.123	-27.993	+1
361	eca_nfnet_l2.ra3_in1k	320	39.440	60.560	71.147	28.853	56.72	1.000	bicubic	-57.430	-28.243	-59
362	resnetrs350.tf_in1k	384	39.387	60.613	68.333	31.667	163.96	1.000	bicubic	-57.403	-31.007	-41
363	flexivit_base.300ep_in1k	240	39.320	60.680	70.733	29.267	86.59	0.950	bicubic	-57.300	-28.807	+3
364	gcvit_small.in1k	224	39.253	60.747	70.520	29.480	51.09	0.875	bicubic	-57.017	-28.640	+108
365	seresnext101_32x8d.ah_in1k	288	39.027	60.973	68.987	31.013	93.57	1.000	bicubic	-57.753	-30.363	-42
366	deit3_base_patch16_224.fb_in1k	224	38.920	61.080	70.747	29.253	86.59	0.900	bicubic	-57.370	-28.463	+102
367	hgnetv2_b5.ssld_stage2_ft_in1k	224	38.907	61.093	71.267	28.733	39.57	1.000	bicubic	-58.123	-28.363	-105
368	hgnet_base.ssld_in1k	224	38.907	61.093	69.400	30.600	71.58	1.000	bicubic	-58.253	-30.160	-136
369	mobilenetv4_conv_aa_large.e600_r384_in1k	480	38.893	61.107	70.707	29.293	32.59	1.000	bicubic	-57.567	-28.613	+44
370	regnetz_d8_evos.ch_in1k	320	38.840	61.160	71.320	28.680	23.46	1.000	bicubic	-57.730	-28.110	+12
371	vit_large_patch32_384.orig_in21k_ft_in1k	384	38.840	61.160	68.627	31.373	306.63	1.000	bicubic	-56.990	-30.543	+233
372	volo_d1_224.sail_in1k	224	38.693	61.307	70.120	29.880	26.63	0.960	bicubic	-57.627	-29.190	+89
373	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	384	38.680	61.320	70.880	29.120	32.59	1.000	bicubic	-58.170	-28.440	-66
374	mvitv2_small.fb_in1k	224	38.560	61.440	69.960	30.040	34.87	0.900	bicubic	-57.790	-29.260	+77
375	coat_lite_medium.in1k	224	38.440	61.560	71.093	28.907	44.57	0.900	bicubic	-58.030	-28.117	+35
376	efficientnetv2_rw_m.agc_in1k	320	38.427	61.573	70.147	29.853	53.24	1.000	bicubic	-58.153	-29.113	+2
377	regnetz_040.ra3_in1k	320	38.413	61.587	70.067	29.933	27.12	1.000	bicubic	-58.297	-29.413	-35
378	resnetv2_101x1_bit.goog_in21k_ft_in1k	448	38.253	61.747	70.227	29.773	44.54	1.000	bilinear	-57.847	-29.043	+149
379	rdnet_base.nv_in1k	224	38.200	61.800	70.147	29.853	87.45	0.900	bicubic	-58.500	-29.243	-33
380	xcit_small_12_p8_224.fb_dist_in1k	224	38.147	61.853	71.333	28.667	26.21	1.000	bicubic	-58.603	-28.087	-52
381	davit_small.msft_in1k	224	38.067	61.933	70.533	29.467	49.75	0.950	bicubic	-58.573	-28.837	-21
382	convformer_m36.sail_in1k	224	37.920	62.080	66.933	33.067	57.05	1.000	bicubic	-58.770	-32.437	-31
383	resnet200d.ra2_in1k	320	37.893	62.107	68.333	31.667	64.69	1.000	bicubic	-58.837	-31.187	-49
384	tf_efficientnet_b7.aa_in1k	600	37.787	62.213	69.427	30.573	66.35	0.949	bicubic	-58.753	-29.883	+9
385	focalnet_base_srf.ms_in1k	224	37.747	62.253	69.707	30.293	88.15	0.900	bicubic	-58.843	-29.453	-8
386	vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k	256	37.707	62.293	68.853	31.147	60.23	0.950	bicubic	-58.653	-30.317	+58
387	maxvit_small_tf_224.in1k	224	37.693	62.307	68.373	31.627	68.93	0.950	bicubic	-58.997	-31.207	-37
388	swinv2_small_window8_256.ms_in1k	256	37.667	62.333	69.960	30.040	49.73	0.900	bicubic	-58.653	-29.240	+76
389	convnext_large.fb_in1k	224	37.600	62.400	70.013	29.987	197.77	1.000	bicubic	-59.300	-29.397	-93
390	fastvit_ma36.apple_dist_in1k	256	37.573	62.427	71.013	28.987	44.07	0.950	bicubic	-59.227	-28.437	-72
391	tf_efficientnetv2_s.in21k_ft_in1k	300	37.573	62.427	69.587	30.413	21.46	1.000	bicubic	-58.747	-29.743	+72
392	focalnet_base_lrf.ms_in1k	224	37.533	62.467	68.600	31.400	88.75	0.900	bicubic	-58.947	-30.790	+16
393	seresnet152d.ra2_in1k	320	37.480	62.520	69.067	30.933	66.84	1.000	bicubic	-59.320	-30.243	-75
394	twins_svt_large.in1k	224	37.373	62.627	69.107	30.893	99.27	0.900	bicubic	-58.887	-30.063	+79
395	efficientvit_b3.r288_in1k	288	37.347	62.653	69.653	30.347	48.65	1.000	bicubic	-59.283	-29.807	-33
396	xcit_large_24_p16_224.fb_dist_in1k	224	37.307	62.693	71.440	28.560	189.10	1.000	bicubic	-59.513	-27.880	-82
397	xcit_small_12_p8_224.fb_in1k	224	37.307	62.693	68.133	31.867	26.21	1.000	bicubic	-58.803	-31.037	+130
398	swin_s3_small_224.ms_in1k	224	37.053	62.947	68.147	31.853	49.74	0.900	bicubic	-59.187	-30.953	+86
399	eca_nfnet_l1.ra2_in1k	320	37.040	62.960	70.693	29.307	41.41	1.000	bicubic	-59.700	-28.727	-68
400	vit_medium_patch16_rope_reg1_gap_256.sbb_in1k	256	36.947	63.053	68.893	31.107	38.74	0.950	bicubic	-59.473	-30.207	+22
401	regnetz_d32.ra3_in1k	320	36.813	63.187	70.067	29.933	27.58	0.950	bicubic	-59.787	-29.233	-29
402	convnext_small.fb_in1k	288	36.787	63.213	70.947	29.053	50.22	1.000	bicubic	-59.773	-28.283	-17
403	pvt_v2_b4.in1k	224	36.773	63.227	68.627	31.373	62.56	0.900	bicubic	-59.597	-30.713	+36
404	hgnetv2_b5.ssld_stage1_in22k_in1k	224	36.693	63.307	68.427	31.573	39.57	1.000	bicubic	-60.187	-31.163	-104
405	pit_b_distilled_224.in1k	224	36.640	63.360	67.747	32.253	74.79	0.900	bicubic	-59.600	-31.373	+77
406	regnety_064.ra3_in1k	288	36.640	63.360	67.560	32.440	30.58	1.000	bicubic	-59.730	-31.650	+31
407	vit_betwixt_patch16_reg4_gap_256.sbb_in1k	256	36.600	63.400	68.053	31.947	60.40	0.950	bicubic	-59.490	-31.097	+126
408	efficientnetv2_rw_s.ra2_in1k	384	36.547	63.453	68.067	31.933	23.94	1.000	bicubic	-60.013	-31.173	-24
409	vit_base_patch32_384.augreg_in21k_ft_in1k	384	36.520	63.480	69.147	30.853	88.30	1.000	bicubic	-59.980	-30.233	-10
410	regnety_160.deit_in1k	288	36.467	63.533	68.773	31.227	83.59	1.000	bicubic	-59.893	-30.447	+30
411	hiera_small_224.mae_in1k_ft_in1k	224	36.413	63.587	68.000	32.000	35.01	0.900	bicubic	-59.917	-31.050	+47
412	fastvit_sa36.apple_dist_in1k	256	36.400	63.600	69.547	30.453	31.53	0.900	bicubic	-59.950	-29.623	+37
413	convnext_tiny.in12k_ft_in1k	224	36.347	63.653	69.773	30.227	28.59	1.000	bicubic	-60.343	-29.677	-65
414	resnext101_64x4d.c1_in1k	288	36.347	63.653	65.960	34.040	83.46	1.000	bicubic	-59.783	-33.330	+107
415	hgnet_small.ssld_in1k	288	36.320	63.680	70.787	29.213	24.36	1.000	bicubic	-60.610	-28.733	-130
416	pvt_v2_b5.in1k	224	36.293	63.707	68.413	31.587	81.96	0.900	bicubic	-60.057	-31.057	+37
417	cait_xxs36_384.fb_dist_in1k	384	36.067	63.933	67.360	32.640	17.37	1.000	bicubic	-59.823	-31.720	+170
418	efficientvit_l1.r224_in1k	224	35.960	64.040	68.000	32.000	52.65	1.000	bicubic	-60.370	-31.300	+41
419	nest_base_jx.goog_in1k	224	35.947	64.053	66.600	33.400	67.72	0.875	bicubic	-60.303	-32.820	+58
420	swin_base_patch4_window7_224.ms_in1k	224	35.773	64.227	68.213	31.787	87.77	0.900	bicubic	-60.317	-30.827	+114
421	regnety_640.seer_ft_in1k	384	35.747	64.253	68.027	31.973	281.38	1.000	bicubic	-61.083	-31.633	-110
422	repvgg_d2se.rvgg_in1k	320	35.720	64.280	66.667	33.333	133.33	1.000	bilinear	-60.960	-32.623	-70
423	maxvit_tiny_rw_224.sw_in1k	224	35.720	64.280	65.747	34.253	29.06	0.950	bicubic	-60.520	-33.373	+59
424	coatnet_1_rw_224.sw_in1k	224	35.693	64.307	66.987	33.013	41.72	0.950	bicubic	-60.337	-32.273	+125
425	vit_betwixt_patch16_reg1_gap_256.sbb_in1k	256	35.640	64.360	67.040	32.960	60.40	0.950	bicubic	-60.600	-32.230	+58
426	tf_efficientnet_b3.ns_jft_in1k	300	35.613	64.387	67.720	32.280	12.23	0.904	bicubic	-60.767	-31.670	+6
427	sequencer2d_l.in1k	224	35.600	64.400	67.360	32.640	54.30	0.875	bicubic	-60.550	-31.800	+88
428	resnetrs200.tf_in1k	256	35.440	64.560	64.813	35.187	93.21	1.000	bicubic	-60.770	-34.427	+64
429	convnextv2_tiny.fcmae_ft_in22k_in1k	224	35.413	64.587	69.160	30.840	28.64	1.000	bicubic	-61.137	-30.120	-40
430	cs3se_edgenet_x.c2ns_in1k	320	35.413	64.587	67.333	32.667	50.72	1.000	bicubic	-61.027	-32.077	-12
431	hgnetv2_b4.ssld_stage2_ft_in1k	288	35.373	64.627	69.973	30.027	19.80	1.000	bicubic	-61.487	-29.557	-127
432	tf_efficientnetv2_m.in1k	384	35.253	64.747	65.467	34.533	54.14	1.000	bicubic	-61.557	-33.953	-115
433	resnetrs420.tf_in1k	320	35.173	64.827	63.653	36.347	191.89	1.000	bicubic	-61.427	-35.637	-60
434	regnety_080.ra3_in1k	288	35.107	64.893	66.707	33.293	39.18	1.000	bicubic	-61.413	-32.623	-36
435	edgenext_base.in21k_ft_in1k	256	34.987	65.013	68.013	31.987	18.51	1.000	bicubic	-61.513	-31.397	-35
436	tf_efficientnet_b6.aa_in1k	528	34.973	65.027	67.373	32.627	43.04	0.942	bicubic	-61.707	-31.937	-82
437	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	448	34.947	65.053	69.187	30.813	11.07	1.000	bicubic	-61.373	-30.053	+23
438	inception_next_base.sail_in1k	224	34.853	65.147	66.227	33.773	86.67	0.950	bicubic	-61.697	-32.863	-46
439	mobilenetv4_hybrid_large.ix_e600_r384_in1k	384	34.813	65.187	68.280	31.720	37.76	1.000	bicubic	-61.647	-31.090	-26
440	gcvit_tiny.in1k	224	34.813	65.187	66.280	33.720	28.22	0.875	bicubic	-61.377	-32.950	+60
441	rexnetr_300.sw_in12k_ft_in1k	224	34.707	65.293	68.533	31.467	34.81	1.000	bicubic	-61.973	-30.837	-87
442	mobilenetv4_hybrid_large.e600_r384_in1k	384	34.707	65.293	68.480	31.520	37.76	1.000	bicubic	-61.713	-30.820	-20
443	dm_nfnet_f2.dm_in1k	256	34.573	65.427	63.920	36.080	193.78	0.920	bicubic	-62.167	-35.390	-113
444	vit_medium_patch16_reg1_gap_256.sbb_in1k	256	34.547	65.453	67.680	32.320	38.88	0.950	bicubic	-61.803	-31.570	+8
445	resnetrs270.tf_in1k	352	34.507	65.493	65.120	34.880	129.86	1.000	bicubic	-62.203	-34.230	-101
446	tf_efficientnet_b5.ap_in1k	456	34.400	65.600	67.147	32.853	30.39	0.934	bicubic	-62.290	-32.303	-97
447	fastvit_ma36.apple_in1k	256	34.387	65.613	67.187	32.813	44.07	0.950	bicubic	-62.113	-32.113	-46
448	xcit_tiny_12_p8_384.fb_dist_in1k	384	34.347	65.653	66.307	33.693	6.71	1.000	bicubic	-61.703	-32.823	+94
449	seresnextaa101d_32x8d.ah_in1k	224	34.347	65.653	64.627	35.373	93.59	1.000	bicubic	-62.023	-34.693	-11
450	mobilenetv4_conv_large.e600_r384_in1k	448	34.333	65.667	67.747	32.253	32.59	1.000	bicubic	-61.907	-31.563	+28
451	coat_small.in1k	224	34.173	65.827	66.080	33.920	21.69	0.900	bicubic	-61.757	-33.080	+126
452	deit3_medium_patch16_224.fb_in1k	224	34.173	65.827	65.973	34.027	38.85	0.900	bicubic	-61.907	-33.227	+86
453	vit_base_patch16_224_miil.in21k_ft_in1k	224	34.120	65.880	64.547	35.453	86.54	0.875	bilinear	-62.330	-34.763	-38
454	vit_medium_patch16_reg4_gap_256.sbb_in1k	256	34.040	65.960	67.280	32.720	38.88	0.950	bicubic	-62.350	-31.950	-24
455	xcit_medium_24_p16_224.fb_dist_in1k	224	34.000	66.000	67.640	32.360	84.40	1.000	bicubic	-62.620	-31.640	-88
456	resnet152d.ra2_in1k	320	33.800	66.200	65.427	34.573	60.21	1.000	bicubic	-62.580	-33.923	-25
457	resmlp_big_24_224.fb_distilled_in1k	224	33.787	66.213	69.360	30.640	129.14	0.875	bicubic	-62.673	-29.940	-46
458	tresnet_m.miil_in1k_448	448	33.787	66.213	64.320	35.680	31.39	0.875	bilinear	-61.193	-34.430	+356
459	caformer_s18.sail_in1k	224	33.693	66.307	65.240	34.760	26.34	1.000	bicubic	-62.477	-33.830	+49
460	regnetv_064.ra3_in1k	288	33.667	66.333	67.613	32.387	30.58	1.000	bicubic	-62.773	-31.867	-42
461	coatnet_rmlp_1_rw_224.sw_in1k	224	33.653	66.347	65.280	34.720	41.69	0.950	bicubic	-62.297	-33.900	+114
462	rdnet_small.nv_in1k	224	33.587	66.413	66.760	33.240	50.44	0.900	bicubic	-62.733	-32.440	+1
463	xcit_tiny_24_p16_384.fb_dist_in1k	384	33.573	66.427	65.280	34.720	12.12	1.000	bicubic	-62.417	-33.910	+96
464	focalnet_small_srf.ms_in1k	224	33.547	66.453	65.853	34.147	49.89	0.900	bicubic	-62.543	-33.017	+68
465	pvt_v2_b3.in1k	224	33.533	66.467	67.533	32.467	45.24	0.900	bicubic	-62.467	-31.647	+89
466	convformer_s18.sail_in22k_ft_in1k	224	33.440	66.560	68.240	31.760	26.77	1.000	bicubic	-63.170	-31.100	-97
467	inception_next_small.sail_in1k	224	33.427	66.573	65.893	34.107	49.37	0.875	bicubic	-62.823	-33.327	+9
468	tiny_vit_11m_224.dist_in22k_ft_in1k	224	33.320	66.680	65.707	34.293	11.00	0.950	bicubic	-62.960	-33.483	+1
469	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	320	33.253	66.747	67.787	32.213	11.07	1.000	bicubic	-62.897	-31.373	+44
470	convformer_s36.sail_in1k	224	33.213	66.787	63.547	36.453	40.01	1.000	bicubic	-63.367	-35.613	-89
471	resnetrs350.tf_in1k	288	33.173	66.827	62.067	37.933	163.96	1.000	bicubic	-63.507	-37.433	-115
472	twins_svt_base.in1k	224	33.160	66.840	65.547	34.453	56.07	0.900	bicubic	-63.010	-33.723	+35
473	twins_pcpvt_large.in1k	224	33.120	66.880	67.920	32.080	60.99	0.900	bicubic	-63.040	-31.330	+38
474	nextvit_large.bd_in1k	224	33.093	66.907	66.973	33.027	57.87	0.950	bicubic	-63.277	-32.357	-40
475	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	224	33.067	66.933	65.213	34.787	25.03	0.875	bilinear	-62.813	-33.877	+115
476	resnet152.a1h_in1k	288	33.053	66.947	63.147	36.853	60.19	1.000	bicubic	-63.167	-36.063	+12
477	fastvit_sa36.apple_in1k	256	33.000	67.000	65.960	34.040	31.53	0.900	bicubic	-63.240	-33.210	+3
478	focalnet_small_lrf.ms_in1k	224	32.947	67.053	67.160	32.840	50.34	0.900	bicubic	-63.243	-32.030	+22
479	tiny_vit_21m_224.in1k	224	32.880	67.120	66.933	33.067	21.20	0.950	bicubic	-63.320	-32.197	+18
480	convnext_base.fb_in1k	224	32.773	67.227	67.013	32.987	88.59	1.000	bicubic	-63.847	-32.317	-115
481	pit_b_224.in1k	224	32.773	67.227	62.253	37.747	73.76	0.900	bicubic	-62.857	-36.867	+165
482	swinv2_cr_small_ns_224.sw_in1k	224	32.747	67.253	65.720	34.280	49.70	0.900	bicubic	-63.473	-33.510	+8
483	regnety_320.seer_ft_in1k	384	32.733	67.267	66.053	33.947	145.05	1.000	bicubic	-63.607	-33.297	-28
484	xcit_large_24_p16_224.fb_in1k	224	32.733	67.267	61.773	38.227	189.10	1.000	bicubic	-62.727	-36.947	+221
485	convnext_tiny.fb_in22k_ft_in1k	224	32.640	67.360	66.693	33.307	28.59	1.000	bicubic	-63.880	-32.687	-89
486	mobilevitv2_200.cvnets_in22k_ft_in1k_384	384	32.480	67.520	64.760	35.240	18.45	1.000	bicubic	-63.550	-34.290	+62
487	mobilevitv2_175.cvnets_in22k_ft_in1k_384	384	32.467	67.533	64.733	35.267	14.25	1.000	bicubic	-63.733	-34.557	+9
488	efficientvit_b3.r256_in1k	256	32.453	67.547	65.933	34.067	48.65	1.000	bicubic	-63.897	-33.457	-34
489	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	224	32.440	67.560	63.733	36.267	194.03	0.875	bilinear	-63.390	-35.427	+114
490	swin_small_patch4_window7_224.ms_in1k	224	32.373	67.627	65.227	34.773	49.61	0.900	bicubic	-63.507	-33.793	+104
491	ecaresnet101d.miil_in1k	288	32.360	67.640	65.773	34.227	44.57	0.950	bicubic	-63.860	-33.477	-5
492	convnextv2_nano.fcmae_ft_in22k_in1k_384	384	32.320	67.680	66.253	33.747	15.62	1.000	bicubic	-64.030	-33.137	-46
493	tf_efficientnetv2_b3.in21k_ft_in1k	300	32.320	67.680	66.120	33.880	14.36	0.900	bicubic	-63.900	-33.190	-6
494	nest_small_jx.goog_in1k	224	32.307	67.693	63.813	36.187	38.35	0.875	bicubic	-63.663	-35.087	+78
495	xception65.ra3_in1k	299	32.280	67.720	62.480	37.520	39.92	0.940	bicubic	-64.080	-36.850	-53
496	seresnext101d_32x8d.ah_in1k	224	32.133	67.867	62.733	37.267	93.59	1.000	bicubic	-64.177	-36.467	-31
497	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	224	32.080	67.920	63.467	36.533	236.34	0.875	bicubic	-64.050	-35.763	+22
498	convnextv2_tiny.fcmae_ft_in1k	288	31.973	68.027	67.120	32.880	28.64	1.000	bicubic	-64.237	-32.060	-5
499	regnetz_040_h.ra3_in1k	256	31.960	68.040	63.133	36.867	28.94	1.000	bicubic	-64.370	-36.037	-42
500	convnext_tiny_hnf.a2h_in1k	288	31.960	68.040	62.480	37.520	28.59	1.000	bicubic	-64.050	-36.600	+52
501	efficientvit_b3.r224_in1k	224	31.867	68.133	64.480	35.520	48.65	0.950	bicubic	-64.153	-34.670	+50
502	regnetz_d8.ra3_in1k	256	31.853	68.147	65.360	34.640	23.37	1.000	bicubic	-64.507	-33.890	-61
503	rexnetr_200.sw_in12k_ft_in1k	288	31.840	68.160	67.507	32.493	16.52	1.000	bicubic	-64.390	-31.753	-18
504	swinv2_tiny_window16_256.ms_in1k	256	31.787	68.213	65.587	34.413	28.35	0.900	bicubic	-64.193	-33.523	+61
505	resnext101_64x4d.tv_in1k	224	31.640	68.360	63.747	36.253	83.46	0.875	bilinear	-64.390	-35.413	+42
506	maxvit_nano_rw_256.sw_in1k	256	31.600	68.400	63.667	36.333	15.45	0.950	bicubic	-64.330	-35.333	+73
507	resnest101e.in1k	256	31.587	68.413	64.067	35.933	48.28	0.875	bilinear	-64.263	-35.223	+92
508	vit_base_patch16_224.orig_in21k_ft_in1k	224	31.587	68.413	61.213	38.787	86.57	0.900	bicubic	-63.743	-37.797	+225
509	regnetz_d32.ra3_in1k	256	31.493	68.507	65.000	35.000	27.58	0.950	bicubic	-64.707	-34.130	-14
510	hgnetv2_b4.ssld_stage1_in22k_in1k	288	31.480	68.520	66.840	33.160	19.80	1.000	bicubic	-65.250	-32.500	-177
511	regnetz_d8_evos.ch_in1k	256	31.413	68.587	64.213	35.787	23.46	1.000	bicubic	-64.827	-34.857	-33
512	hrnet_w48_ssld.paddle_in1k	224	31.413	68.587	61.320	38.680	77.47	1.000	bilinear	-65.077	-38.070	-109
513	maxxvit_rmlp_nano_rw_256.sw_in1k	256	31.333	68.667	64.507	35.493	16.78	0.950	bicubic	-64.697	-34.633	+33
514	fastvit_sa24.apple_dist_in1k	256	31.320	68.680	64.760	35.240	21.55	0.900	bicubic	-64.840	-34.450	-4
515	convnext_nano.in12k_ft_in1k	288	31.293	68.707	67.333	32.667	15.59	1.000	bicubic	-64.697	-31.767	+43
516	nextvit_base.bd_in1k	224	31.240	68.760	65.067	34.933	44.82	0.950	bicubic	-65.010	-34.193	-41
517	regnety_320.tv2_in1k	224	31.200	68.800	64.560	35.440	145.05	0.965	bicubic	-64.900	-34.680	+13
518	cait_s24_224.fb_dist_in1k	224	31.187	68.813	64.253	35.747	46.92	1.000	bicubic	-65.213	-34.897	-91
519	regnetv_040.ra3_in1k	288	31.160	68.840	64.107	35.893	20.64	1.000	bicubic	-65.030	-35.213	-21
520	regnetz_c16_evos.ch_in1k	320	31.107	68.893	65.973	34.027	13.49	0.950	bicubic	-65.063	-33.017	-15
521	tf_efficientnet_b5.ra_in1k	456	31.107	68.893	64.520	35.480	30.39	0.934	bicubic	-65.273	-34.800	-88
522	crossvit_base_240.in1k	240	31.027	68.973	60.933	39.067	105.03	0.875	bicubic	-64.473	-37.967	+160
523	maxvit_rmlp_nano_rw_256.sw_in1k	256	31.000	69.000	63.093	36.907	15.50	0.950	bicubic	-65.000	-36.097	+34
524	resnetaa101d.sw_in12k_ft_in1k	224	30.987	69.013	63.347	36.653	44.57	1.000	bicubic	-65.493	-36.073	-118
525	maxvit_tiny_tf_224.in1k	224	30.920	69.080	63.027	36.973	30.92	0.950	bicubic	-65.220	-36.173	-8
526	regnetz_040.ra3_in1k	256	30.920	69.080	62.587	37.413	27.12	1.000	bicubic	-65.560	-36.863	-121
527	mobilenetv4_conv_aa_large.e600_r384_in1k	384	30.813	69.187	63.507	36.493	32.59	1.000	bicubic	-65.127	-35.643	+50
528	swinv2_cr_small_224.sw_in1k	224	30.773	69.227	61.853	38.147	49.70	0.900	bicubic	-65.317	-37.307	+7
529	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	224	30.733	69.267	62.280	37.720	88.22	0.900	bicubic	-65.387	-36.890	-6
530	xcit_small_24_p16_224.fb_dist_in1k	224	30.600	69.400	64.533	35.467	47.67	1.000	bicubic	-65.620	-34.597	-41
531	efficientnet_b4.ra2_in1k	384	30.573	69.427	64.333	35.667	19.34	1.000	bicubic	-65.567	-34.917	-13
532	sequencer2d_m.in1k	224	30.560	69.440	62.987	37.013	38.31	0.875	bicubic	-65.250	-36.123	+78
533	crossvit_18_dagger_240.in1k	240	30.507	69.493	61.800	38.200	44.27	0.875	bicubic	-65.083	-37.230	+118
534	hiera_tiny_224.mae_in1k_ft_in1k	224	30.453	69.547	62.267	37.733	27.91	0.900	bicubic	-65.147	-36.603	+116
535	crossvit_18_240.in1k	240	30.427	69.573	61.547	38.453	43.27	0.875	bicubic	-65.063	-37.223	+157
536	repvit_m2_3.dist_450e_in1k	224	30.333	69.667	63.653	36.347	23.69	0.950	bicubic	-66.017	-35.567	-88
537	maxxvitv2_nano_rw_256.sw_in1k	256	30.267	69.733	63.773	36.227	23.70	0.950	bicubic	-65.623	-35.327	+52
538	regnety_040.ra3_in1k	288	30.200	69.800	63.373	36.627	20.65	1.000	bicubic	-65.800	-35.717	+15
539	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	384	30.173	69.827	64.867	35.133	11.07	1.000	bicubic	-65.827	-34.093	+16
540	rexnet_300.nav_in1k	224	30.040	69.960	64.187	35.813	34.71	0.875	bicubic	-65.790	-34.863	+65
541	seresnext101_32x8d.ah_in1k	224	30.040	69.960	59.693	40.307	93.57	1.000	bicubic	-66.380	-39.567	-117
542	xcit_medium_24_p16_224.fb_in1k	224	30.027	69.973	59.187	40.813	84.40	1.000	bicubic	-65.493	-39.773	+136
543	dm_nfnet_f1.dm_in1k	224	30.000	70.000	57.947	42.053	132.63	0.910	bicubic	-66.350	-41.273	-93
544	resnet50.fb_swsl_ig1b_ft_in1k	224	29.867	70.133	63.827	36.173	25.56	0.875	bilinear	-65.603	-35.133	+151
545	mvitv2_tiny.fb_in1k	224	29.867	70.133	63.747	36.253	24.17	0.900	bicubic	-66.013	-35.363	+48
546	twins_pcpvt_base.in1k	224	29.840	70.160	64.453	35.547	43.83	0.900	bicubic	-65.960	-34.697	+66
547	convnext_tiny.fb_in1k	288	29.787	70.213	64.920	35.080	28.59	1.000	bicubic	-65.993	-34.260	+67
548	seresnet152d.ra2_in1k	256	29.773	70.227	61.360	38.640	66.84	1.000	bicubic	-66.687	-37.850	-137
549	convnextv2_nano.fcmae_ft_in22k_in1k	288	29.733	70.267	65.653	34.347	15.62	1.000	bicubic	-66.327	-33.567	-11
550	cait_xxs24_384.fb_dist_in1k	384	29.720	70.280	63.733	36.267	12.03	1.000	bicubic	-65.550	-35.317	+197
551	tf_efficientnet_b5.aa_in1k	456	29.707	70.293	62.733	37.267	30.39	0.934	bicubic	-66.773	-36.397	-144
552	hgnetv2_b3.ssld_stage1_in22k_in1k	288	29.640	70.360	65.880	34.120	16.29	1.000	bicubic	-66.630	-33.600	-82
553	cs3sedarknet_x.c2ns_in1k	288	29.627	70.373	61.627	38.373	35.40	1.000	bicubic	-66.413	-37.523	-9
554	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	224	29.547	70.453	66.493	33.507	28.29	0.900	bicubic	-65.943	-32.287	+129
555	eca_nfnet_l1.ra2_in1k	256	29.533	70.467	63.133	36.867	41.41	1.000	bicubic	-66.867	-36.137	-129
556	mobilevitv2_150.cvnets_in22k_ft_in1k_384	384	29.520	70.480	61.587	38.413	10.59	1.000	bicubic	-66.180	-37.633	+74
557	resnet152.a1_in1k	288	29.507	70.493	57.027	42.973	60.19	1.000	bicubic	-65.983	-41.973	+136
558	deit_base_distilled_patch16_224.fb_in1k	224	29.453	70.547	64.093	35.907	87.34	0.900	bicubic	-66.647	-35.187	-27
559	convit_base.fb_in1k	224	29.387	70.613	61.493	38.507	86.54	0.875	bicubic	-66.163	-37.397	+108
560	vit_relpos_base_patch16_clsgap_224.sw_in1k	224	29.360	70.640	62.187	37.813	86.43	0.900	bicubic	-66.410	-36.963	+58
561	convnext_tiny.fb_in22k_ft_in1k	288	29.253	70.747	56.560	43.440	28.59	1.000	bicubic	-65.617	-42.400	+280
562	fastvit_sa24.apple_in1k	256	29.040	70.960	62.307	37.693	21.55	0.900	bicubic	-66.870	-36.853	+18
563	tf_efficientnetv2_s.in1k	384	29.040	70.960	61.147	38.853	21.46	1.000	bicubic	-67.300	-38.053	-106
564	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	224	28.960	71.040	60.787	39.213	88.79	0.875	bilinear	-66.530	-38.063	+122
565	davit_tiny.msft_in1k	224	28.920	71.080	63.547	36.453	28.36	0.950	bicubic	-66.760	-35.483	+72
566	resnet101d.ra2_in1k	320	28.813	71.187	61.920	38.080	44.57	1.000	bicubic	-67.487	-37.500	-99
567	edgenext_base.usi_in1k	320	28.787	71.213	64.720	35.280	18.51	1.000	bicubic	-67.933	-34.640	-231
568	hgnet_small.ssld_in1k	224	28.747	71.253	62.627	37.373	24.36	1.000	bicubic	-67.733	-36.603	-165
569	vit_little_patch16_reg4_gap_256.sbb_in1k	256	28.747	71.253	62.387	37.613	22.52	0.950	bicubic	-66.983	-36.663	+54
570	vit_relpos_medium_patch16_cls_224.sw_in1k	224	28.733	71.267	59.973	40.027	38.76	0.900	bicubic	-66.757	-38.977	+118
571	regnety_160.tv2_in1k	224	28.720	71.280	61.280	38.720	83.59	0.965	bicubic	-67.260	-37.870	-7
572	resnetrs152.tf_in1k	320	28.667	71.333	60.027	39.973	86.62	1.000	bicubic	-67.893	-39.313	-186
573	xcit_tiny_24_p8_224.fb_in1k	224	28.653	71.347	60.160	39.840	12.11	1.000	bicubic	-67.027	-38.670	+63
574	efficientvit_b2.r288_in1k	288	28.627	71.373	64.240	35.760	24.33	1.000	bicubic	-67.343	-34.970	-5
575	crossvit_15_dagger_240.in1k	240	28.547	71.453	60.293	39.707	28.21	0.875	bicubic	-67.133	-38.767	+64
576	resnetv2_101.a1h_in1k	288	28.547	71.453	59.613	40.387	44.54	1.000	bicubic	-67.603	-39.587	-62
577	hgnetv2_b3.ssld_stage2_ft_in1k	288	28.520	71.480	65.000	35.000	16.29	1.000	bicubic	-67.830	-34.390	-132
578	xcit_tiny_24_p8_224.fb_dist_in1k	224	28.520	71.480	61.400	38.600	12.11	1.000	bicubic	-67.280	-37.600	+33
579	vit_relpos_medium_patch16_224.sw_in1k	224	28.480	71.520	61.520	38.480	38.75	0.900	bicubic	-66.990	-37.490	+120
580	cs3edgenet_x.c2_in1k	288	28.347	71.653	61.027	38.973	47.82	1.000	bicubic	-67.703	-38.103	-39
581	xception65p.ra3_in1k	299	28.320	71.680	59.467	40.533	39.82	0.940	bicubic	-67.890	-39.783	-88
582	xcit_small_24_p16_224.fb_in1k	224	28.320	71.680	59.000	41.000	47.67	1.000	bicubic	-67.220	-40.050	+90
583	pvt_v2_b2_li.in1k	224	28.280	71.720	61.520	38.480	22.55	0.900	bicubic	-67.280	-37.600	+78
584	repvit_m2_3.dist_300e_in1k	224	28.227	71.773	61.453	38.547	23.69	0.950	bicubic	-67.953	-37.817	-82
585	resnet101.a1h_in1k	288	28.120	71.880	59.640	40.360	44.55	1.000	bicubic	-67.920	-39.470	-42
586	rdnet_tiny.nv_in1k	224	27.987	72.013	62.067	37.933	23.86	0.900	bicubic	-67.593	-36.963	+68
587	mobilenetv4_conv_large.e600_r384_in1k	384	27.960	72.040	62.227	37.773	32.59	1.000	bicubic	-68.000	-36.893	-14
588	efficientnetv2_rw_s.ra2_in1k	288	27.960	72.040	60.387	39.613	23.94	1.000	bicubic	-68.200	-38.813	-75
589	efficientformerv2_l.snap_dist_in1k	224	27.707	72.293	61.347	38.653	26.32	0.950	bicubic	-68.353	-37.853	-50
590	cs3se_edgenet_x.c2ns_in1k	256	27.667	72.333	59.227	40.773	50.72	1.000	bicubic	-68.333	-39.973	-35
591	coat_lite_small.in1k	224	27.667	72.333	58.547	41.453	19.84	0.900	bicubic	-67.893	-40.433	+72
592	efficientformer_l7.snap_dist_in1k	224	27.653	72.347	62.640	37.360	82.23	0.950	bicubic	-68.467	-36.560	-70
593	pvt_v2_b2.in1k	224	27.613	72.387	60.720	39.280	25.36	0.900	bicubic	-67.877	-38.210	+94
594	flexivit_small.1200ep_in1k	240	27.587	72.413	58.240	41.760	22.06	0.950	bicubic	-67.973	-40.610	+65
595	resnet200d.ra2_in1k	256	27.573	72.427	59.213	40.787	64.69	1.000	bicubic	-68.787	-40.027	-152
596	resnetaa50d.sw_in12k_ft_in1k	288	27.520	72.480	62.120	37.880	25.58	1.000	bicubic	-68.290	-37.060	+13
597	convnext_small.fb_in1k	224	27.333	72.667	62.667	37.333	50.22	1.000	bicubic	-68.787	-36.603	-74
598	vit_base_patch16_384.augreg_in1k	384	27.333	72.667	56.547	43.453	86.86	1.000	bicubic	-67.627	-42.213	+221
599	hgnetv2_b4.ssld_stage2_ft_in1k	224	27.280	72.720	62.640	37.360	19.80	1.000	bicubic	-69.310	-36.680	-224
600	regnety_160.deit_in1k	224	27.280	72.720	59.813	40.187	83.59	1.000	bicubic	-68.660	-39.457	-24
601	resnext101_32x8d.tv2_in1k	224	27.240	72.760	59.347	40.653	88.79	0.965	bilinear	-68.750	-39.743	-39
602	regnetz_c16.ra3_in1k	320	27.187	72.813	62.253	37.747	13.46	1.000	bicubic	-68.793	-37.037	-37
603	deit_base_patch16_224.fb_in1k	224	27.187	72.813	58.693	41.307	86.57	0.900	bicubic	-68.273	-40.327	+101
604	regnety_080_tv.tv2_in1k	224	27.133	72.867	61.360	38.640	39.38	0.965	bicubic	-68.737	-37.720	-8
605	regnety_064.ra3_in1k	224	27.133	72.867	57.667	42.333	30.58	1.000	bicubic	-68.727	-41.403	-6
606	resnetv2_50x1_bit.goog_in21k_ft_in1k	448	27.107	72.893	62.627	37.373	25.55	1.000	bilinear	-67.923	-36.243	+197
607	coatnet_bn_0_rw_224.sw_in1k	224	27.013	72.987	60.840	39.160	27.44	0.950	bicubic	-68.687	-38.140	+24
608	xcit_small_12_p16_224.fb_dist_in1k	224	27.000	73.000	59.813	40.187	26.25	1.000	bicubic	-69.020	-39.107	-58
609	coatnet_0_rw_224.sw_in1k	224	26.973	73.027	59.107	40.893	27.44	0.950	bicubic	-68.487	-39.523	+95
610	sequencer2d_s.in1k	224	26.867	73.133	60.640	39.360	27.65	0.875	bicubic	-69.113	-38.410	-43
611	flexivit_small.600ep_in1k	240	26.827	73.173	57.013	42.987	22.06	0.950	bicubic	-68.863	-42.067	+23
612	vit_small_patch16_224.augreg_in21k_ft_in1k	224	26.813	73.187	58.840	41.160	22.05	0.900	bicubic	-68.587	-40.300	+107
613	vit_relpos_base_patch16_224.sw_in1k	224	26.787	73.213	60.467	39.533	86.43	0.900	bicubic	-68.803	-38.583	+40
614	dm_nfnet_f0.dm_in1k	256	26.747	73.253	58.147	41.853	71.49	0.900	bicubic	-69.623	-41.033	-179
615	gcvit_xtiny.in1k	224	26.707	73.293	60.693	39.307	19.98	0.875	bicubic	-68.883	-38.337	+37
616	mobilenetv4_conv_large.e500_r256_in1k	320	26.680	73.320	61.133	38.867	32.59	1.000	bicubic	-69.210	-37.977	-31
617	swin_s3_tiny_224.ms_in1k	224	26.680	73.320	60.293	39.707	28.33	0.900	bicubic	-68.510	-38.637	+144
618	nextvit_small.bd_in1k	224	26.613	73.387	61.160	38.840	31.76	0.950	bicubic	-69.257	-37.920	-22
619	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	256	26.533	73.467	61.547	38.453	11.07	1.000	bicubic	-69.237	-37.593	-2
620	tresnet_v2_l.miil_in21k_ft_in1k	224	26.293	73.707	59.493	40.507	46.17	0.875	bilinear	-69.867	-39.657	-111
621	mobilevitv2_200.cvnets_in22k_ft_in1k	256	26.227	73.773	58.707	41.293	18.45	0.888	bicubic	-68.943	-40.213	+148
622	hgnet_small.paddle_in1k	288	26.187	73.813	60.040	39.960	24.36	1.000	bicubic	-69.463	-39.110	+20
623	swinv2_tiny_window8_256.ms_in1k	256	26.173	73.827	60.480	39.520	28.35	0.900	bicubic	-69.327	-38.510	+56
624	regnetx_320.tv2_in1k	224	26.173	73.827	57.747	42.253	107.81	0.965	bicubic	-69.817	-41.483	-63
625	nfnet_l0.ra2_in1k	288	26.093	73.907	61.613	38.387	35.07	1.000	bicubic	-70.037	-37.627	-106
626	regnety_032.ra_in1k	288	26.093	73.907	60.853	39.147	19.44	1.000	bicubic	-69.897	-38.457	-65
627	coatnet_rmlp_nano_rw_224.sw_in1k	224	26.080	73.920	60.400	39.600	15.15	0.900	bicubic	-69.360	-38.590	+82
628	deit3_small_patch16_224.fb_in1k	224	26.000	74.000	54.293	45.707	22.06	0.900	bicubic	-69.000	-44.167	+183
629	regnety_080.ra3_in1k	224	25.987	74.013	58.480	41.520	39.18	1.000	bicubic	-69.843	-40.640	-23
630	tf_efficientnet_b4.aa_in1k	380	25.920	74.080	59.907	40.093	19.34	0.922	bicubic	-70.050	-39.133	-60
631	coatnext_nano_rw_224.sw_in1k	224	25.907	74.093	59.147	40.853	14.70	0.900	bicubic	-69.503	-39.853	+87
632	fbnetv3_g.ra2_in1k	288	25.867	74.133	60.947	39.053	16.62	0.950	bilinear	-69.633	-37.873	+48
633	tf_efficientnet_b4.ap_in1k	380	25.827	74.173	59.573	40.427	19.34	0.922	bicubic	-70.353	-39.577	-130
634	flexivit_small.300ep_in1k	240	25.787	74.213	56.760	43.240	22.06	0.950	bicubic	-69.733	-42.000	+43
635	inception_next_tiny.sail_in1k	224	25.693	74.307	59.480	40.520	28.06	0.875	bicubic	-69.777	-39.400	+63
636	ecaresnet50t.ra2_in1k	320	25.680	74.320	59.707	40.293	25.57	0.950	bicubic	-69.840	-39.373	+39
637	mobilevitv2_175.cvnets_in22k_ft_in1k	256	25.680	74.320	58.027	41.973	14.25	0.888	bicubic	-69.600	-40.883	+107
638	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	320	25.667	74.333	60.080	39.920	11.07	1.000	bicubic	-70.103	-38.960	-24
639	coat_mini.in1k	224	25.667	74.333	57.707	42.293	10.34	0.900	bicubic	-69.333	-41.193	+172
640	visformer_small.in1k	224	25.640	74.360	58.573	41.427	40.22	0.900	bicubic	-69.860	-40.547	+41
641	convnextv2_tiny.fcmae_ft_in1k	224	25.627	74.373	60.267	39.733	28.64	1.000	bicubic	-70.263	-38.773	-57
642	regnetv_064.ra3_in1k	224	25.587	74.413	59.747	40.253	30.58	1.000	bicubic	-70.513	-39.443	-113
643	crossvit_15_240.in1k	240	25.440	74.560	57.320	42.680	27.53	0.875	bicubic	-69.690	-41.490	+137
644	convformer_s18.sail_in1k	224	25.427	74.573	57.533	42.467	26.77	1.000	bicubic	-70.543	-41.637	-71
645	vit_small_patch16_384.augreg_in1k	384	25.427	74.573	57.200	42.800	22.20	1.000	bicubic	-69.863	-41.730	+95
646	efficientnet_b4.ra2_in1k	320	25.387	74.613	58.867	41.133	19.34	1.000	bicubic	-70.673	-40.273	-106
647	vit_relpos_medium_patch16_rpn_224.sw_in1k	224	25.267	74.733	58.267	41.733	38.73	0.900	bicubic	-70.253	-40.853	+29
648	halo2botnet50ts_256.a1h_in1k	256	25.160	74.840	56.293	43.707	22.64	0.950	bicubic	-70.250	-42.727	+69
649	resnetv2_50x1_bit.goog_distilled_in1k	224	25.133	74.867	59.387	40.613	25.55	0.875	bicubic	-70.967	-39.873	-121
650	xcit_small_12_p16_224.fb_in1k	224	25.040	74.960	55.707	44.293	26.25	1.000	bicubic	-70.390	-43.173	+62
651	resnetrs270.tf_in1k	256	25.027	74.973	54.333	45.667	129.86	1.000	bicubic	-71.363	-44.877	-222
652	vit_srelpos_medium_patch16_224.sw_in1k	224	24.987	75.013	58.147	41.853	38.74	0.900	bicubic	-70.253	-40.913	+101
653	resnet101.a1_in1k	288	24.947	75.053	54.973	45.027	44.55	1.000	bicubic	-70.543	-44.137	+37
654	hgnet_tiny.ssld_in1k	288	24.933	75.067	61.413	38.587	14.74	1.000	bicubic	-71.317	-37.817	-180
655	cs3sedarknet_x.c2ns_in1k	256	24.920	75.080	56.867	43.133	35.40	1.000	bicubic	-70.770	-42.173	-20
656	resnext101_64x4d.c1_in1k	224	24.893	75.107	54.387	45.613	83.46	1.000	bicubic	-70.827	-44.553	-29
657	convit_small.fb_in1k	224	24.813	75.187	56.880	43.120	27.78	0.875	bicubic	-70.377	-42.080	+106
658	resnet152.a2_in1k	288	24.800	75.200	53.893	46.107	60.19	1.000	bicubic	-70.690	-44.897	+33
659	vit_base_patch16_rpn_224.sw_in1k	224	24.773	75.227	58.080	41.920	86.54	0.900	bicubic	-70.617	-40.870	+61
660	regnetz_c16_evos.ch_in1k	256	24.733	75.267	59.640	40.360	13.49	0.950	bicubic	-70.967	-39.490	-31
661	tnt_s_patch16_224	224	24.720	75.280	58.160	41.840	23.76	0.900	bicubic	-70.340	-40.680	+137
662	gc_efficientnetv2_rw_t.agc_in1k	288	24.587	75.413	57.533	42.467	13.68	1.000	bicubic	-71.153	-41.487	-40
663	efficientvit_b2.r256_in1k	256	24.533	75.467	59.120	40.880	24.33	1.000	bicubic	-71.137	-39.940	-23
664	eca_nfnet_l0.ra2_in1k	288	24.507	75.493	59.627	40.373	24.14	1.000	bicubic	-71.463	-39.583	-96
665	tf_efficientnetv2_b3.in21k_ft_in1k	240	24.427	75.573	56.293	43.707	14.36	0.900	bicubic	-70.923	-42.637	+62
666	resnet152d.ra2_in1k	256	24.347	75.653	56.133	43.867	60.21	1.000	bicubic	-71.823	-43.247	-160
667	swinv2_cr_tiny_ns_224.sw_in1k	224	24.280	75.720	58.347	41.653	28.33	0.900	bicubic	-71.050	-40.593	+65
668	xception41p.ra3_in1k	299	24.280	75.720	54.587	45.413	26.91	0.940	bicubic	-71.270	-44.403	-2
669	efficientnetv2_rw_t.ra2_in1k	288	24.227	75.773	57.173	42.827	13.65	1.000	bicubic	-71.383	-42.007	-20
670	tf_efficientnet_b2.ns_jft_in1k	260	24.213	75.787	57.587	42.413	9.11	0.890	bicubic	-71.537	-41.533	-51
671	rexnetr_200.sw_in12k_ft_in1k	224	24.147	75.853	58.747	41.253	16.52	1.000	bicubic	-71.743	-40.373	-83
672	xcit_tiny_12_p16_384.fb_dist_in1k	384	24.120	75.880	56.920	43.080	6.72	1.000	bicubic	-71.040	-42.080	+100
673	vit_small_r26_s32_224.augreg_in21k_ft_in1k	224	24.053	75.947	56.240	43.760	36.43	0.900	bicubic	-71.587	-42.950	-29
674	eva02_tiny_patch14_336.mim_in22k_ft_in1k	336	24.027	75.973	55.453	44.547	5.76	1.000	bicubic	-70.893	-43.417	+153
675	cs3darknet_x.c2ns_in1k	288	24.000	76.000	57.573	42.427	35.05	1.000	bicubic	-71.870	-41.617	-80
676	convnext_nano_ols.d1h_in1k	288	23.973	76.027	56.493	43.507	15.65	1.000	bicubic	-71.137	-42.417	+112
677	vit_relpos_small_patch16_224.sw_in1k	224	23.907	76.093	57.733	42.267	21.98	0.900	bicubic	-71.283	-41.217	+85
678	twins_svt_small.in1k	224	23.893	76.107	57.373	42.627	24.06	0.900	bicubic	-71.307	-41.457	+81
679	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	224	23.800	76.200	57.227	42.773	44.18	0.875	bilinear	-71.680	-41.713	+15
680	ecaresnet50d.miil_in1k	288	23.760	76.240	58.547	41.453	25.58	0.950	bicubic	-71.730	-40.593	+5
681	coatnet_nano_rw_224.sw_in1k	224	23.720	76.280	56.693	43.307	15.14	0.900	bicubic	-71.520	-42.177	+74
682	hgnetv2_b4.ssld_stage1_in22k_in1k	224	23.707	76.293	58.760	41.240	19.80	1.000	bicubic	-72.643	-40.350	-235
683	poolformer_m48.sail_in1k	224	23.707	76.293	56.893	43.107	73.47	0.950	bicubic	-71.943	-42.057	-40
684	cs3sedarknet_l.c2ns_in1k	288	23.680	76.320	58.240	41.760	21.91	0.950	bicubic	-71.640	-40.900	+52
685	convnext_nano.d1h_in1k	288	23.653	76.347	55.707	44.293	15.59	1.000	bicubic	-71.697	-43.263	+45
686	ecaresnet101d.miil_in1k	224	23.613	76.387	56.360	43.640	44.57	0.950	bicubic	-71.767	-42.570	+35
687	vit_small_patch32_384.augreg_in21k_ft_in1k	384	23.587	76.413	56.867	43.133	22.92	1.000	bicubic	-71.493	-42.133	+107
688	mobilevitv2_150.cvnets_in22k_ft_in1k	256	23.520	76.480	55.173	44.827	10.59	0.888	bicubic	-71.640	-43.707	+87
689	tiny_vit_11m_224.in1k	224	23.507	76.493	58.640	41.360	11.00	0.950	bicubic	-72.043	-40.300	-25
690	tf_efficientnet_b5.in1k	456	23.440	76.560	57.480	42.520	30.39	0.934	bicubic	-72.640	-41.820	-154
691	crossvit_small_240.in1k	240	23.413	76.587	56.387	43.613	26.86	0.875	bicubic	-71.427	-42.643	+157
692	edgenext_base.usi_in1k	256	23.360	76.640	59.013	40.987	18.51	1.000	bicubic	-73.120	-40.217	-288
693	convnextv2_nano.fcmae_ft_in22k_in1k	224	23.347	76.653	58.573	41.427	15.62	1.000	bicubic	-72.263	-40.537	-45
694	cs3edgenet_x.c2_in1k	256	23.280	76.720	55.493	44.507	47.82	1.000	bicubic	-72.400	-43.507	-56
695	seresnext50_32x4d.racm_in1k	288	23.253	76.747	57.347	42.653	27.56	0.950	bicubic	-72.467	-41.573	-69
696	nest_tiny_jx.goog_in1k	224	23.253	76.747	56.133	43.867	17.06	0.875	bicubic	-72.007	-42.837	+52
697	efficientnet_b3.ra2_in1k	320	23.253	76.747	55.933	44.067	12.23	1.000	bicubic	-72.477	-43.097	-72
698	focalnet_tiny_srf.ms_in1k	224	23.227	76.773	58.160	41.840	28.43	0.900	bicubic	-72.263	-40.950	-14
699	levit_384.fb_dist_in1k	224	23.173	76.827	55.747	44.253	39.13	0.900	bicubic	-72.367	-43.013	-31
700	levit_conv_384.fb_dist_in1k	224	23.173	76.827	55.747	44.253	39.13	0.900	bicubic	-72.367	-43.493	-29
701	lamhalobotnet50ts_256.a1h_in1k	256	23.133	76.867	54.880	45.120	22.57	0.950	bicubic	-72.027	-44.210	+73
702	vit_base_patch32_clip_224.laion2b_ft_in1k	224	23.120	76.880	55.320	44.680	88.22	0.900	bicubic	-72.440	-43.770	-40
703	hrnet_w18_ssld.paddle_in1k	288	23.120	76.880	55.027	44.973	21.30	1.000	bilinear	-72.860	-44.133	-139
704	pnasnet5large.tf_in1k	331	23.107	76.893	53.293	46.707	86.06	0.911	bicubic	-72.613	-45.897	-76
705	nasnetalarge.tf_in1k	331	23.080	76.920	54.533	45.467	88.75	0.911	bicubic	-72.620	-44.527	-72
706	regnetv_040.ra3_in1k	224	23.013	76.987	55.213	44.787	20.64	1.000	bicubic	-72.757	-43.827	-90
707	pit_s_distilled_224.in1k	224	22.987	77.013	56.893	43.107	24.04	0.900	bicubic	-72.203	-42.007	+57
708	wide_resnet50_2.racm_in1k	288	22.987	77.013	55.587	44.413	68.88	0.950	bicubic	-72.673	-43.633	-67
709	efficientformer_l3.snap_dist_in1k	224	22.973	77.027	56.880	43.120	31.41	0.950	bicubic	-72.637	-42.160	-62
710	focalnet_tiny_lrf.ms_in1k	224	22.920	77.080	58.133	41.867	28.65	0.900	bicubic	-72.560	-40.967	-15
711	convnext_nano.in12k_ft_in1k	224	22.907	77.093	58.973	41.027	15.59	1.000	bicubic	-72.633	-40.077	-43
712	resmlp_big_24_224.fb_in1k	224	22.893	77.107	54.280	45.720	129.14	0.875	bicubic	-71.787	-44.540	+174
713	convnextv2_nano.fcmae_ft_in1k	288	22.813	77.187	58.747	41.253	15.62	1.000	bicubic	-73.087	-40.343	-131
714	regnetx_160.tv2_in1k	224	22.787	77.213	56.200	43.800	54.28	0.965	bicubic	-73.113	-42.910	-131
715	resnet61q.ra2_in1k	288	22.773	77.227	55.480	44.520	36.85	1.000	bicubic	-73.027	-43.730	-102
716	halonet50ts.a1h_in1k	256	22.733	77.267	54.360	45.640	22.73	0.940	bicubic	-72.407	-44.640	+63
717	tiny_vit_5m_224.dist_in22k_ft_in1k	224	22.720	77.280	55.893	44.107	5.39	0.950	bicubic	-72.330	-43.097	+82
718	resnetv2_50d_evos.ah_in1k	288	22.720	77.280	55.000	45.000	25.59	1.000	bicubic	-72.910	-43.670	-73
719	twins_pcpvt_small.in1k	224	22.693	77.307	56.587	43.413	24.11	0.900	bicubic	-72.537	-42.283	+37
720	vit_base_patch32_clip_224.openai_ft_in1k	224	22.680	77.320	55.920	44.080	88.22	0.900	bicubic	-72.430	-42.880	+63
721	tf_efficientnet_b4.in1k	380	22.627	77.373	56.213	43.787	19.34	0.922	bicubic	-73.203	-42.917	-114
722	hgnetv2_b2.ssld_stage2_ft_in1k	288	22.587	77.413	59.147	40.853	11.22	1.000	bicubic	-73.593	-40.283	-221
723	poolformerv2_m48.sail_in1k	224	22.520	77.480	55.533	44.467	73.35	1.000	bicubic	-73.230	-43.447	-103
724	repvit_m1_5.dist_450e_in1k	224	22.373	77.627	55.493	44.507	14.64	0.950	bicubic	-73.547	-43.647	-144
725	vit_srelpos_small_patch16_224.sw_in1k	224	22.360	77.640	55.293	44.707	21.97	0.900	bicubic	-72.710	-43.507	+70
726	regnetz_c16.ra3_in1k	256	22.333	77.667	55.280	44.720	13.46	1.000	bicubic	-73.237	-43.770	-70
727	poolformer_m36.sail_in1k	224	22.280	77.720	55.147	44.853	56.17	0.950	bicubic	-73.140	-43.693	-11
728	ecaresnet101d_pruned.miil_in1k	288	22.253	77.747	56.400	43.600	24.88	0.950	bicubic	-73.487	-42.780	-107
729	vit_base_patch32_224.augreg_in21k_ft_in1k	224	22.240	77.760	53.707	46.293	88.22	0.900	bicubic	-72.770	-45.313	+78
730	resnetv2_50d_gn.ah_in1k	288	22.133	77.867	54.827	45.173	25.57	1.000	bicubic	-73.397	-44.133	-57
731	xcit_tiny_12_p8_224.fb_dist_in1k	224	22.080	77.920	53.880	46.120	6.71	1.000	bicubic	-73.010	-45.050	+58
732	wide_resnet101_2.tv2_in1k	224	21.987	78.013	54.587	45.413	126.89	0.965	bilinear	-73.573	-44.293	-72
733	hgnetv2_b3.ssld_stage1_in22k_in1k	224	21.907	78.093	57.493	42.507	16.29	1.000	bicubic	-73.943	-41.717	-134
734	resnext50_32x4d.a1h_in1k	288	21.867	78.133	54.133	45.867	25.03	1.000	bicubic	-73.573	-44.927	-24
735	resnet152.a1h_in1k	224	21.853	78.147	51.587	48.413	60.19	1.000	bicubic	-74.027	-47.663	-142
736	ecaresnet50t.a1_in1k	288	21.840	78.160	53.627	46.373	25.57	1.000	bicubic	-73.620	-45.223	-34
737	convnext_tiny_hnf.a2h_in1k	224	21.827	78.173	53.453	46.547	28.59	1.000	bicubic	-73.723	-45.477	-71
738	tf_efficientnetv2_s.in1k	300	21.773	78.227	53.267	46.733	21.46	1.000	bicubic	-74.377	-45.823	-222
739	regnety_040.ra3_in1k	224	21.720	78.280	53.360	46.640	20.65	1.000	bicubic	-73.850	-45.570	-81
740	res2net101d.in1k	224	21.573	78.427	51.133	48.867	45.23	0.875	bilinear	-73.287	-47.587	+104
741	efficientvit_b2.r224_in1k	224	21.560	78.440	55.253	44.747	24.33	0.950	bicubic	-73.750	-43.537	-4
742	efficientformerv2_s2.snap_dist_in1k	224	21.547	78.453	54.040	45.960	12.71	0.950	bicubic	-73.833	-45.120	-20
743	resnetrs152.tf_in1k	256	21.533	78.467	51.307	48.693	86.62	1.000	bicubic	-74.507	-47.793	-198
744	tresnet_m.miil_in21k_ft_in1k	224	21.387	78.613	53.520	46.480	31.39	0.875	bilinear	-74.343	-45.600	-119
745	fastvit_sa12.apple_dist_in1k	256	21.307	78.693	54.613	45.387	11.58	0.900	bicubic	-73.823	-44.327	+36
746	hgnetv2_b3.ssld_stage2_ft_in1k	224	21.280	78.720	56.760	43.240	16.29	1.000	bicubic	-74.540	-42.570	-138
747	vit_wee_patch16_reg1_gap_256.sbb_in1k	256	21.280	78.720	54.587	45.413	13.42	0.950	bicubic	-73.510	-44.353	+110
748	resnet50_gn.a1h_in1k	288	21.160	78.840	54.187	45.813	25.56	0.950	bicubic	-74.120	-44.813	-6
749	maxvit_rmlp_pico_rw_256.sw_in1k	256	21.147	78.853	51.787	48.213	7.52	0.950	bicubic	-73.543	-47.013	+130
750	swin_tiny_patch4_window7_224.ms_in1k	224	21.120	78.880	55.640	44.360	28.29	0.900	bicubic	-74.050	-43.220	+20
751	repvit_m1_5.dist_300e_in1k	224	21.107	78.893	54.307	45.693	14.64	0.950	bicubic	-74.593	-44.613	-119
752	pit_s_224.in1k	224	21.093	78.907	53.493	46.507	23.46	0.900	bicubic	-73.547	-45.287	+150
753	convnext_tiny.fb_in1k	224	20.987	79.013	55.093	44.907	28.59	1.000	bicubic	-74.463	-43.917	-47
754	convmixer_1536_20.in1k	224	20.947	79.053	55.293	44.707	51.63	0.960	bicubic	-74.133	-43.757	+39
755	resnet101.a2_in1k	288	20.880	79.120	51.853	48.147	44.55	1.000	bicubic	-74.540	-47.247	-40
756	xcit_tiny_12_p8_224.fb_in1k	224	20.827	79.173	51.987	48.013	6.71	1.000	bicubic	-73.853	-46.593	+124
757	deit_small_distilled_patch16_224.fb_in1k	224	20.787	79.213	54.907	45.093	22.44	0.900	bicubic	-73.923	-43.913	+118
758	poolformerv2_m36.sail_in1k	224	20.667	79.333	52.987	47.013	56.08	1.000	bicubic	-74.763	-45.853	-47
759	resnet51q.ra2_in1k	288	20.600	79.400	55.160	44.840	35.70	1.000	bilinear	-75.280	-43.890	-168
760	vit_pwee_patch16_reg1_gap_256.sbb_in1k	256	20.573	79.427	53.173	46.827	15.25	0.950	bicubic	-74.067	-45.547	+141
761	regnety_032.tv2_in1k	224	20.547	79.453	54.280	45.720	19.44	0.965	bicubic	-74.753	-44.650	-23
762	resnet101d.ra2_in1k	256	20.507	79.493	52.560	47.440	44.57	1.000	bicubic	-75.343	-46.530	-161
763	ecaresnetlight.miil_in1k	288	20.453	79.547	53.400	46.600	30.16	0.950	bicubic	-74.837	-45.610	-25
764	resnet152.tv2_in1k	224	20.453	79.547	52.427	47.573	60.19	0.965	bilinear	-75.077	-46.553	-89
765	sebotnet33ts_256.a1h_in1k	256	20.320	79.680	48.667	51.333	13.70	0.940	bicubic	-74.350	-49.983	+127
766	resnetrs101.tf_in1k	288	20.307	79.693	52.560	47.440	63.62	0.940	bicubic	-75.113	-46.470	-52
767	resnest50d_4s2x40d.in1k	224	20.093	79.907	52.907	47.093	30.42	0.875	bicubic	-74.867	-45.913	+49
768	resnetaa50.a1h_in1k	288	20.013	79.987	51.733	48.267	25.56	1.000	bicubic	-75.227	-47.247	-14
769	fbnetv3_g.ra2_in1k	240	19.947	80.053	53.813	46.187	16.62	0.950	bilinear	-75.123	-45.137	+27
770	resnet152.a1_in1k	224	19.933	80.067	47.227	52.773	60.19	1.000	bicubic	-75.007	-51.573	+54
771	cs3darknet_x.c2ns_in1k	256	19.867	80.133	52.587	47.413	35.05	1.000	bicubic	-75.703	-46.663	-114
772	xcit_nano_12_p8_384.fb_dist_in1k	384	19.760	80.240	50.560	49.440	3.05	1.000	bicubic	-73.710	-47.830	+347
773	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	224	19.693	80.307	53.253	46.747	25.03	0.875	bilinear	-75.157	-45.627	+74
774	resnext50_32x4d.a1_in1k	288	19.693	80.307	50.133	49.867	25.03	1.000	bicubic	-75.167	-48.517	+72
775	hgnetv2_b2.ssld_stage1_in22k_in1k	288	19.653	80.347	55.360	44.640	11.22	1.000	bicubic	-76.177	-43.910	-173
776	haloregnetz_b.ra3_in1k	224	19.600	80.400	49.720	50.280	11.68	0.940	bicubic	-75.130	-48.960	+96
777	regnetz_b16.ra3_in1k	288	19.573	80.427	52.400	47.600	9.72	1.000	bicubic	-75.597	-46.680	-10
778	efficientnet_b3.ra2_in1k	288	19.507	80.493	51.467	48.533	12.23	1.000	bicubic	-75.673	-47.413	-13
779	cs3sedarknet_l.c2ns_in1k	256	19.480	80.520	53.800	46.200	21.91	0.950	bicubic	-75.600	-45.230	+12
780	mobilenetv4_conv_medium.e500_r256_in1k	320	19.480	80.520	53.053	46.947	9.72	1.000	bicubic	-75.520	-45.727	+29
781	tresnet_xl.miil_in1k	224	19.360	80.640	52.853	47.147	78.44	0.875	bilinear	-76.080	-45.987	-73
782	hgnet_tiny.ssld_in1k	224	19.187	80.813	53.107	46.893	14.74	1.000	bicubic	-76.383	-45.933	-127
783	ecaresnet50t.ra2_in1k	256	19.173	80.827	50.733	49.267	25.57	0.950	bicubic	-75.967	-48.257	-7
784	regnety_032.ra_in1k	224	19.160	80.840	50.987	49.013	19.44	1.000	bicubic	-76.110	-47.963	-39
785	rexnet_200.nav_in1k	224	19.107	80.893	52.547	47.453	16.37	0.875	bicubic	-75.863	-46.443	+30
786	senet154.gluon_in1k	224	19.093	80.907	47.347	52.653	115.09	0.875	bicubic	-75.837	-51.423	+40
787	lambda_resnet50ts.a1h_in1k	256	19.040	80.960	48.893	51.107	21.54	0.950	bicubic	-75.800	-49.787	+63
788	resnet50d.a1_in1k	288	19.040	80.960	48.653	51.347	25.58	1.000	bicubic	-75.740	-49.827	+72
789	seresnext101_64x4d.gluon_in1k	224	19.013	80.987	48.920	51.080	88.23	0.875	bicubic	-75.927	-49.510	+34
790	levit_256.fb_dist_in1k	224	19.000	81.000	49.707	50.293	18.89	0.900	bicubic	-76.030	-49.163	+14
791	levit_conv_256.fb_dist_in1k	224	19.000	81.000	49.707	50.293	18.89	0.900	bicubic	-76.030	-49.283	+16
792	hgnet_small.paddle_in1k	224	18.973	81.027	51.133	48.867	24.36	1.000	bicubic	-76.057	-47.917	+12
793	mobilenetv4_conv_large.e500_r256_in1k	256	18.973	81.027	51.120	48.880	32.59	1.000	bicubic	-76.227	-47.770	-33
794	legacy_senet154.in1k	224	18.960	81.040	47.640	52.360	115.09	0.875	bilinear	-76.130	-51.190	-4
795	resnetaa50d.sw_in12k_ft_in1k	224	18.933	81.067	52.387	47.613	25.58	1.000	bicubic	-76.327	-46.563	-45
796	tf_efficientnet_b1.ns_jft_in1k	240	18.893	81.107	51.867	48.133	7.79	0.882	bicubic	-76.267	-47.093	-25
797	repvgg_b3.rvgg_in1k	224	18.867	81.133	49.840	50.160	123.09	0.875	bilinear	-75.683	-48.940	+126
798	gcvit_xxtiny.in1k	224	18.813	81.187	53.120	46.880	12.00	0.875	bicubic	-75.567	-45.770	+155
799	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	256	18.773	81.227	51.973	48.027	11.07	1.000	bicubic	-76.427	-46.937	-41
800	resnet61q.ra2_in1k	256	18.773	81.227	49.893	50.107	36.85	1.000	bicubic	-76.577	-48.957	-71
801	deit_small_patch16_224.fb_in1k	224	18.733	81.267	51.107	48.893	22.05	0.900	bicubic	-75.667	-47.563	+148
802	resnetv2_101.a1h_in1k	224	18.733	81.267	48.093	51.907	44.54	1.000	bicubic	-76.737	-50.827	-102
803	nfnet_l0.ra2_in1k	224	18.627	81.373	52.187	47.813	35.07	1.000	bicubic	-76.823	-46.933	-96
804	mobilevitv2_200.cvnets_in1k	256	18.573	81.427	50.080	49.920	18.45	0.888	bicubic	-76.287	-48.680	+41
805	edgenext_small.usi_in1k	320	18.547	81.453	53.560	46.440	5.59	1.000	bicubic	-76.873	-45.370	-92
806	mixer_b16_224.miil_in21k_ft_in1k	224	18.547	81.453	51.213	48.787	59.88	0.875	bilinear	-76.813	-47.657	-80
807	regnetx_080.tv2_in1k	224	18.427	81.573	50.173	49.827	39.57	0.965	bicubic	-76.683	-48.537	-20
808	ecaresnet50t.a2_in1k	288	18.427	81.573	48.733	51.267	25.57	1.000	bicubic	-76.923	-50.197	-80
809	seresnet50.ra2_in1k	288	18.360	81.640	51.067	48.933	28.09	0.950	bicubic	-76.970	-47.823	-78
810	poolformer_s36.sail_in1k	224	18.347	81.653	52.053	47.947	30.86	0.900	bicubic	-76.763	-46.917	-24
811	repvit_m3.dist_in1k	224	18.293	81.707	51.680	48.320	10.68	0.950	bicubic	-76.947	-47.230	-59
812	wide_resnet50_2.tv2_in1k	224	18.147	81.853	52.307	47.693	68.88	0.965	bilinear	-76.723	-46.573	+25
813	ese_vovnet39b.ra_in1k	288	18.080	81.920	49.613	50.387	24.57	0.950	bicubic	-76.810	-49.307	+21
814	resnext101_32x8d.tv2_in1k	176	18.067	81.933	48.800	51.200	88.79	0.965	bilinear	-77.303	-50.150	-90
815	sehalonet33ts.ra2_in1k	256	18.067	81.933	47.667	52.333	13.69	0.940	bicubic	-76.713	-50.903	+44
816	cait_xxs36_224.fb_dist_in1k	224	18.053	81.947	49.320	50.680	17.30	1.000	bicubic	-76.197	-49.230	+162
817	mobilenetv4_hybrid_medium.e500_r224_in1k	256	18.013	81.987	51.600	48.400	11.07	1.000	bicubic	-77.457	-47.730	-116
818	gcresnet50t.ra2_in1k	288	17.947	82.053	49.387	50.613	25.90	1.000	bicubic	-77.333	-49.413	-75
819	tf_efficientnet_lite4.in1k	380	17.907	82.093	50.360	49.640	13.01	0.920	bilinear	-76.983	-48.550	+13
820	cs3darknet_l.c2ns_in1k	288	17.880	82.120	51.467	48.533	21.16	0.950	bicubic	-77.260	-47.543	-42
821	resnet101.a1h_in1k	224	17.840	82.160	48.107	51.893	44.55	1.000	bicubic	-77.650	-51.113	-132
822	resnest50d_1s4x24d.in1k	224	17.627	82.373	49.627	50.373	25.68	0.875	bicubic	-77.133	-49.353	+41
823	mobilevitv2_175.cvnets_in1k	256	17.600	82.400	49.227	50.773	14.25	0.888	bicubic	-77.270	-49.583	+15
824	convnextv2_nano.fcmae_ft_in1k	224	17.547	82.453	52.027	47.973	15.62	1.000	bicubic	-77.723	-46.943	-76
825	resnet50d.ra2_in1k	288	17.547	82.453	49.880	50.120	25.58	0.950	bicubic	-77.443	-49.090	-13
826	resnetv2_50.a1h_in1k	288	17.533	82.467	49.880	50.120	25.55	1.000	bicubic	-77.297	-48.850	+26
827	tiny_vit_5m_224.in1k	224	17.520	82.480	49.960	50.040	5.39	0.950	bicubic	-76.760	-48.700	+148
828	vit_tiny_patch16_384.augreg_in21k_ft_in1k	384	17.507	82.493	49.933	50.067	5.79	1.000	bicubic	-76.163	-48.667	+259
829	resnet50.c2_in1k	288	17.507	82.493	49.760	50.240	25.56	1.000	bicubic	-77.413	-49.020	0
830	hgnet_tiny.paddle_in1k	288	17.480	82.520	50.827	49.173	14.74	1.000	bicubic	-77.480	-48.063	-13
831	seresnext101_32x4d.gluon_in1k	224	17.400	82.600	46.493	53.507	48.96	0.875	bicubic	-77.520	-52.317	-2
832	resnest50d.in1k	224	17.347	82.653	50.547	49.453	27.48	0.875	bilinear	-77.483	-48.323	+19
833	inception_v4.tf_in1k	299	17.293	82.707	45.373	54.627	42.68	0.875	bicubic	-77.087	-53.187	+122
834	dm_nfnet_f0.dm_in1k	192	17.200	82.800	45.053	54.947	71.49	0.900	bicubic	-78.180	-53.867	-111
835	convnext_pico.d1_in1k	288	17.133	82.867	49.707	50.293	9.05	0.950	bicubic	-77.617	-48.883	+30
836	tf_efficientnet_b3.ap_in1k	300	17.093	82.907	49.640	50.360	12.23	0.904	bicubic	-78.267	-49.250	-111
837	xcit_tiny_24_p16_224.fb_dist_in1k	224	17.093	82.907	47.427	52.573	12.12	1.000	bicubic	-77.437	-51.203	+89
838	efficientnet_el.ra_in1k	300	17.080	82.920	49.893	50.107	10.59	0.904	bicubic	-78.040	-49.097	-56
839	resnet101.a1_in1k	224	17.053	82.947	44.227	55.773	44.55	1.000	bicubic	-77.617	-54.573	+52
840	fastvit_s12.apple_dist_in1k	256	16.987	83.013	49.333	50.667	9.47	0.900	bicubic	-77.883	-49.217	0
841	gcresnext50ts.ch_in1k	288	16.973	83.027	47.973	52.027	15.67	1.000	bicubic	-77.887	-50.827	+1
842	regnetx_032.tv2_in1k	224	16.960	83.040	48.040	51.960	15.30	0.965	bicubic	-77.700	-50.830	+52
843	seresnext50_32x4d.racm_in1k	224	16.933	83.067	48.480	51.520	27.56	0.950	bicubic	-78.397	-50.530	-108
844	eca_nfnet_l0.ra2_in1k	224	16.867	83.133	50.507	49.493	24.14	1.000	bicubic	-78.343	-48.533	-87
845	cs3darknet_focus_l.c2ns_in1k	288	16.867	83.133	50.107	49.893	21.15	0.950	bicubic	-78.293	-48.743	-72
846	xception71.tf_in1k	299	16.827	83.173	45.667	54.333	42.34	0.903	bicubic	-77.503	-53.183	+122
847	regnety_016.tv2_in1k	224	16.800	83.200	49.840	50.160	11.20	0.965	bicubic	-77.780	-49.040	+69
848	gc_efficientnetv2_rw_t.agc_in1k	224	16.747	83.253	46.627	53.373	13.68	1.000	bicubic	-78.293	-52.273	-46
849	tf_efficientnet_b3.aa_in1k	300	16.733	83.267	49.267	50.733	12.23	0.904	bicubic	-78.277	-49.643	-41
850	resnext101_64x4d.gluon_in1k	224	16.720	83.280	44.027	55.973	83.46	0.875	bicubic	-77.950	-54.523	+40
851	resmlp_36_224.fb_distilled_in1k	224	16.707	83.293	51.093	48.907	44.69	0.875	bicubic	-78.173	-47.777	-15
852	efficientnetv2_rw_t.ra2_in1k	224	16.707	83.293	47.067	52.933	13.65	1.000	bicubic	-78.273	-51.913	-38
853	convnextv2_pico.fcmae_ft_in1k	288	16.680	83.320	49.960	50.040	9.07	0.950	bicubic	-78.570	-48.970	-102
854	poolformerv2_s36.sail_in1k	224	16.680	83.320	49.267	50.733	30.79	1.000	bicubic	-78.650	-49.563	-120
855	resnet51q.ra2_in1k	256	16.587	83.413	50.613	49.387	35.70	1.000	bilinear	-78.883	-48.457	-159
856	tf_efficientnetv2_b3.in1k	300	16.587	83.413	48.480	51.520	14.36	0.904	bicubic	-78.593	-50.350	-89
857	hgnetv2_b2.ssld_stage2_ft_in1k	224	16.573	83.427	50.320	49.680	11.22	1.000	bicubic	-78.957	-48.820	-185
858	inception_resnet_v2.tf_in1k	299	16.520	83.480	44.960	55.040	55.84	0.897	bicubic	-78.070	-53.890	+54
859	ecaresnet50d.miil_in1k	224	16.467	83.533	48.760	51.240	25.58	0.950	bicubic	-78.333	-49.990	-4
860	tresnet_l.miil_in1k	224	16.440	83.560	49.613	50.387	55.99	0.875	bilinear	-78.830	-49.397	-114
861	resnet152s.gluon_in1k	224	16.440	83.560	44.200	55.800	60.32	0.875	bicubic	-78.620	-54.730	-64
862	resnet101.tv2_in1k	224	16.333	83.667	48.333	51.667	44.55	0.965	bilinear	-78.957	-50.707	-121
863	convnext_pico_ols.d1_in1k	288	16.320	83.680	49.267	50.733	9.06	1.000	bicubic	-78.320	-49.433	+37
864	resnet152d.gluon_in1k	224	16.320	83.680	44.080	55.920	60.21	0.875	bicubic	-78.500	-54.680	-10
865	fastvit_sa12.apple_in1k	256	16.307	83.693	49.387	50.613	11.58	0.900	bicubic	-78.583	-49.473	-30
866	hrnet_w18_ssld.paddle_in1k	224	16.267	83.733	45.493	54.507	21.30	1.000	bilinear	-78.813	-53.547	-74
867	resmlp_24_224.fb_distilled_in1k	224	16.227	83.773	50.093	49.907	30.02	0.875	bicubic	-78.223	-48.677	+75
868	mobilevitv2_150.cvnets_in1k	256	16.227	83.773	47.960	52.040	10.59	0.888	bicubic	-78.303	-50.760	+60
869	gernet_l.idstcv_in1k	256	16.200	83.800	46.747	53.253	31.08	0.875	bilinear	-78.910	-52.163	-84
870	seresnet50.a1_in1k	288	16.187	83.813	46.853	53.147	28.09	1.000	bicubic	-78.483	-51.917	+19
871	resnet152.a2_in1k	224	16.160	83.840	44.240	55.760	60.19	1.000	bicubic	-78.790	-54.290	-49
872	inception_resnet_v2.tf_ens_adv_in1k	299	16.133	83.867	43.347	56.653	55.84	0.897	bicubic	-78.087	-55.223	+111
873	gmlp_s16_224.ra3_in1k	224	16.067	83.933	44.707	55.293	19.42	0.875	bicubic	-78.093	-53.793	+127
874	repvgg_b3g4.rvgg_in1k	224	16.053	83.947	47.480	52.520	83.83	0.875	bilinear	-78.467	-51.190	+55
875	xcit_tiny_24_p16_224.fb_in1k	224	16.053	83.947	45.267	54.733	12.12	1.000	bicubic	-78.027	-53.243	+138
876	repvit_m1_1.dist_450e_in1k	224	16.027	83.973	49.120	50.880	8.80	0.950	bicubic	-78.863	-49.910	-43
877	ecaresnet50d_pruned.miil_in1k	288	15.880	84.120	49.640	50.360	19.94	0.950	bicubic	-79.230	-49.350	-93
878	xception65.tf_in1k	299	15.880	84.120	43.480	56.520	39.92	0.903	bicubic	-77.910	-54.900	+192
879	resnet50.fb_ssl_yfcc100m_ft_in1k	224	15.840	84.160	49.333	50.667	25.56	0.875	bilinear	-78.650	-49.587	+58
880	resnet50.a1_in1k	288	15.840	84.160	45.627	54.373	25.56	1.000	bicubic	-78.960	-53.273	-23
881	edgenext_small_rw.sw_in1k	320	15.813	84.187	49.533	50.467	7.83	1.000	bicubic	-78.867	-48.967	+1
882	resnext50_32x4d.ra_in1k	288	15.733	84.267	46.920	53.080	25.03	0.950	bicubic	-78.967	-51.790	-5
883	fastvit_t12.apple_dist_in1k	256	15.627	84.373	47.640	52.360	7.55	0.900	bicubic	-78.993	-51.140	+23
884	regnety_320.pycls_in1k	224	15.627	84.373	44.733	55.267	145.05	0.875	bicubic	-78.963	-53.967	+27
885	resnet50.c1_in1k	288	15.613	84.387	47.107	52.893	25.56	1.000	bicubic	-79.177	-51.813	-27
886	ecaresnet26t.ra2_in1k	320	15.533	84.467	47.947	52.053	16.01	0.950	bicubic	-78.767	-50.773	+85
887	coat_tiny.in1k	224	15.467	84.533	45.600	54.400	5.50	0.900	bicubic	-78.113	-52.820	+215
888	mobilenetv4_conv_blur_medium.e500_r224_in1k	256	15.440	84.560	47.973	52.027	9.72	1.000	bicubic	-79.430	-50.797	-49
889	vit_base_patch32_384.augreg_in1k	384	15.440	84.560	43.573	56.427	88.30	1.000	bicubic	-78.200	-54.827	+203
890	convmixer_768_32.in1k	224	15.387	84.613	47.613	52.387	21.11	0.960	bicubic	-79.113	-51.237	+43
891	resnet50d.a2_in1k	288	15.387	84.613	44.507	55.493	25.58	1.000	bicubic	-79.203	-54.273	+23
892	resnet50.d_in1k	288	15.320	84.680	44.493	55.507	25.56	1.000	bicubic	-79.640	-54.567	-73
893	convnext_nano.d1h_in1k	224	15.267	84.733	45.960	54.040	15.59	1.000	bicubic	-79.633	-52.750	-63
894	resnetv2_50d_evos.ah_in1k	224	15.267	84.733	43.933	56.067	25.59	1.000	bicubic	-79.693	-55.137	-72
895	convnext_nano_ols.d1h_in1k	224	15.253	84.747	46.360	53.640	15.65	1.000	bicubic	-79.427	-52.380	-10
896	ecaresnet50t.a1_in1k	224	15.253	84.747	45.627	54.373	25.57	1.000	bicubic	-79.497	-53.073	-29
897	resnext50d_32x4d.bt_in1k	288	15.213	84.787	45.933	54.067	25.05	0.950	bicubic	-79.327	-52.757	+28
898	skresnext50_32x4d.ra_in1k	224	15.187	84.813	44.560	55.440	27.48	0.875	bicubic	-79.073	-53.910	+78
899	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	256	15.040	84.960	42.440	57.560	119.42	0.900	bicubic	-78.690	-55.670	+184
900	repvit_m1_0.dist_450e_in1k	224	15.027	84.973	46.653	53.347	7.30	0.950	bicubic	-79.513	-52.227	+22
901	efficientvit_b1.r288_in1k	288	15.027	84.973	46.307	53.693	9.10	1.000	bicubic	-79.473	-52.233	+37
902	fastvit_s12.apple_in1k	256	15.027	84.973	45.000	55.000	9.47	0.900	bicubic	-79.193	-53.600	+83
903	seresnet33ts.ra2_in1k	288	15.013	84.987	47.067	52.933	19.78	1.000	bicubic	-80.027	-51.773	-103
904	resnext50_32x4d.a2_in1k	288	15.013	84.987	45.080	54.920	25.03	1.000	bicubic	-79.547	-53.530	+18
905	eca_resnet33ts.ra2_in1k	288	14.987	85.013	48.640	51.360	19.68	1.000	bicubic	-79.663	-50.230	-8
906	vit_base_patch16_224.augreg_in1k	224	14.893	85.107	41.880	58.120	86.57	0.900	bicubic	-78.737	-56.360	+188
907	cait_xxs24_224.fb_dist_in1k	224	14.880	85.120	44.533	55.467	11.96	1.000	bicubic	-78.700	-53.927	+194
908	resnetv2_50d_gn.ah_in1k	224	14.773	85.227	44.573	55.427	25.57	1.000	bicubic	-79.857	-54.127	-4
909	levit_192.fb_dist_in1k	224	14.693	85.307	44.640	55.360	10.95	0.900	bicubic	-79.487	-53.900	+82
910	levit_conv_192.fb_dist_in1k	224	14.680	85.320	44.653	55.347	10.95	0.900	bicubic	-79.500	-54.027	+82
911	wide_resnet50_2.racm_in1k	224	14.667	85.333	45.920	54.080	68.88	0.950	bicubic	-80.373	-53.090	-111
912	seresnet50.a2_in1k	288	14.667	85.333	44.133	55.867	28.09	1.000	bicubic	-80.013	-54.697	-29
913	mobilenetv4_hybrid_medium.e500_r224_in1k	224	14.653	85.347	45.947	54.053	11.07	1.000	bicubic	-79.987	-52.833	-10
914	res2net50d.in1k	224	14.653	85.347	44.400	55.600	25.72	0.875	bilinear	-79.657	-54.240	+56
915	poolformerv2_s24.sail_in1k	224	14.640	85.360	46.000	54.000	21.34	1.000	bicubic	-80.020	-52.840	-20
916	ecaresnet101d_pruned.miil_in1k	224	14.600	85.400	46.733	53.267	24.88	0.950	bicubic	-80.540	-52.047	-139
917	gcresnet33ts.ra2_in1k	288	14.573	85.427	46.013	53.987	19.88	1.000	bicubic	-80.337	-52.867	-87
918	repvit_m1_1.dist_300e_in1k	224	14.520	85.480	46.813	53.187	8.80	0.950	bicubic	-80.240	-52.117	-54
919	darknet53.c2ns_in1k	288	14.440	85.560	46.813	53.187	41.61	1.000	bicubic	-80.180	-51.897	-14
920	efficientnet_el_pruned.in1k	300	14.413	85.587	45.827	54.173	10.59	0.904	bicubic	-79.967	-52.923	+34
921	coat_lite_mini.in1k	224	14.400	85.600	44.533	55.467	11.01	0.900	bicubic	-79.660	-53.997	+94
922	rexnet_150.nav_in1k	224	14.373	85.627	46.427	53.573	9.73	0.875	bicubic	-80.117	-52.353	+16
923	gcresnet50t.ra2_in1k	256	14.373	85.627	44.307	55.693	25.90	1.000	bicubic	-80.467	-54.173	-73
924	resnet50.tv2_in1k	224	14.333	85.667	46.747	53.253	25.56	0.965	bilinear	-80.327	-52.033	-28
925	efficientnet_b2.ra_in1k	288	14.307	85.693	45.827	54.173	9.11	1.000	bicubic	-80.313	-53.073	-16
926	edgenext_small.usi_in1k	256	14.187	85.813	46.533	53.467	5.59	1.000	bicubic	-80.743	-52.417	-101
927	darknetaa53.c2ns_in1k	288	14.120	85.880	44.880	55.120	36.02	1.000	bilinear	-80.400	-53.940	+4
928	gcresnext50ts.ch_in1k	256	14.107	85.893	43.053	56.947	15.67	1.000	bicubic	-80.463	-55.907	-8
929	poolformer_s24.sail_in1k	224	14.080	85.920	47.120	52.880	21.39	0.900	bicubic	-80.490	-51.580	-10
930	gernet_m.idstcv_in1k	224	14.080	85.920	46.080	53.920	21.14	0.875	bilinear	-80.570	-52.810	-32
931	repvit_m2.dist_in1k	224	14.053	85.947	46.320	53.680	8.80	0.950	bicubic	-80.687	-52.500	-61
932	hgnetv2_b2.ssld_stage1_in22k_in1k	224	14.027	85.973	46.613	53.387	11.22	1.000	bicubic	-81.143	-52.417	-164
933	pvt_v2_b1.in1k	224	14.013	85.987	47.480	52.520	14.01	0.900	bicubic	-79.807	-50.880	+132
934	ecaresnetlight.miil_in1k	224	13.987	86.013	43.200	56.800	30.16	0.950	bicubic	-80.693	-55.620	-53
935	mobilevitv2_125.cvnets_in1k	256	13.973	86.027	44.253	55.747	7.48	0.888	bicubic	-80.017	-54.347	+97
936	fbnetv3_d.ra2_in1k	256	13.933	86.067	46.440	53.560	10.31	0.950	bilinear	-79.977	-52.300	+112
937	cs3darknet_l.c2ns_in1k	256	13.880	86.120	46.160	53.840	21.16	0.950	bicubic	-80.860	-52.690	-69
938	regnetz_b16.ra3_in1k	224	13.853	86.147	43.547	56.453	9.72	1.000	bicubic	-80.567	-55.103	+8
939	legacy_seresnext101_32x4d.in1k	224	13.853	86.147	42.587	57.413	48.96	0.875	bilinear	-80.517	-56.043	+18
940	mobilenet_edgetpu_v2_m	256	13.747	86.253	45.427	54.573	8.46	0.950	bicubic	-81.213	-53.373	-120
941	resnext101_32x4d.gluon_in1k	224	13.667	86.333	41.467	58.533	44.18	0.875	bicubic	-80.863	-57.333	-13
942	resnet50_gn.a1h_in1k	224	13.613	86.387	42.293	57.707	25.56	0.950	bicubic	-80.807	-56.427	+5
943	dpn68b.ra_in1k	288	13.600	86.400	39.867	60.133	12.61	1.000	bicubic	-80.380	-58.633	+98
944	fastvit_t12.apple_in1k	256	13.587	86.413	43.253	56.747	7.55	0.900	bicubic	-80.403	-55.257	+87
945	pit_xs_distilled_224.in1k	224	13.467	86.533	44.960	55.040	11.00	0.900	bicubic	-80.303	-53.660	+128
946	resnext50_32x4d.a1h_in1k	224	13.453	86.547	42.173	57.827	25.03	1.000	bicubic	-81.047	-56.647	-10
947	seresnext50_32x4d.gluon_in1k	224	13.440	86.560	43.453	56.547	27.56	0.875	bicubic	-80.920	-55.277	+18
948	resmlp_36_224.fb_in1k	224	13.427	86.573	46.253	53.747	44.69	0.875	bicubic	-80.773	-52.387	+37
949	mobilenetv4_conv_medium.e500_r224_in1k	256	13.373	86.627	45.080	54.920	9.72	1.000	bicubic	-81.397	-53.780	-88
950	eca_botnext26ts_256.c1_in1k	256	13.360	86.640	42.267	57.733	10.59	0.950	bicubic	-80.450	-56.313	+118
951	repvgg_b2g4.rvgg_in1k	224	13.240	86.760	43.453	56.547	61.76	0.875	bilinear	-80.630	-54.907	+102
952	resnet152.a3_in1k	224	13.240	86.760	42.773	57.227	60.19	0.950	bicubic	-81.480	-55.837	-78
953	regnetx_320.pycls_in1k	224	13.187	86.813	40.213	59.787	107.81	0.875	bicubic	-81.253	-58.517	-9
954	resnet50.b1k_in1k	288	13.147	86.853	43.773	56.227	25.56	1.000	bicubic	-81.713	-55.077	-111
955	visformer_tiny.in1k	224	13.133	86.867	43.573	56.427	10.32	0.900	bicubic	-80.457	-54.937	+145
956	vit_small_patch16_224.augreg_in1k	224	13.080	86.920	41.013	58.987	22.05	0.900	bicubic	-80.810	-57.427	+96
957	efficientnet_b3_pruned.in1k	300	13.067	86.933	44.853	55.147	9.86	0.904	bicubic	-81.613	-53.907	-73
958	cspresnext50.ra_in1k	256	13.040	86.960	45.053	54.947	20.57	0.887	bilinear	-81.790	-53.817	-106
959	cs3darknet_focus_l.c2ns_in1k	256	13.040	86.960	44.227	55.773	21.15	0.950	bicubic	-81.620	-54.643	-65
960	mobilenetv4_conv_medium.e500_r256_in1k	256	13.040	86.960	43.987	56.013	9.72	1.000	bicubic	-81.320	-54.633	0
961	hgnet_tiny.paddle_in1k	224	13.000	87.000	43.187	56.813	14.74	1.000	bicubic	-81.250	-55.113	+16
962	mobilevit_s.cvnets_in1k	256	13.000	87.000	40.907	59.093	5.58	0.900	bicubic	-80.210	-57.543	+189
963	mixnet_xl.ra_in1k	224	12.987	87.013	43.173	56.827	11.90	0.875	bicubic	-81.213	-55.457	+25
964	efficientformerv2_s1.snap_dist_in1k	224	12.960	87.040	42.400	57.600	6.19	0.950	bicubic	-81.140	-56.280	+46
965	nf_regnet_b1.ra2_in1k	288	12.907	87.093	43.907	56.093	10.22	0.900	bicubic	-81.243	-54.833	+40
966	efficientformer_l1.snap_dist_in1k	224	12.893	87.107	45.147	54.853	12.29	0.950	bicubic	-81.607	-53.533	-31
967	eca_halonext26ts.c1_in1k	256	12.893	87.107	42.200	57.800	10.76	0.940	bicubic	-81.157	-56.450	+50
968	seresnet50.ra2_in1k	224	12.840	87.160	43.187	56.813	28.09	0.950	bicubic	-81.890	-55.483	-97
969	convnextv2_pico.fcmae_ft_in1k	224	12.813	87.187	43.507	56.493	9.07	0.950	bicubic	-81.747	-55.133	-47
970	resnet101d.gluon_in1k	224	12.773	87.227	41.333	58.667	44.57	0.875	bicubic	-81.477	-57.537	+9
971	regnetx_016.tv2_in1k	224	12.720	87.280	45.173	54.827	9.19	0.965	bicubic	-81.430	-53.457	+31
972	repvit_m1_0.dist_300e_in1k	224	12.720	87.280	44.187	55.813	7.30	0.950	bicubic	-81.610	-54.473	-5
973	pit_xs_224.in1k	224	12.707	87.293	42.600	57.400	10.62	0.900	bicubic	-80.413	-55.710	+192
974	seresnet33ts.ra2_in1k	256	12.667	87.333	42.640	57.360	19.78	1.000	bicubic	-81.923	-56.030	-60
975	edgenext_small_rw.sw_in1k	256	12.613	87.387	42.747	57.253	7.83	1.000	bicubic	-81.367	-55.933	+64
976	resnet101.a2_in1k	224	12.613	87.387	41.493	58.507	44.55	1.000	bicubic	-82.137	-57.107	-109
977	resnetblur50.bt_in1k	288	12.573	87.427	44.280	55.720	25.56	0.950	bicubic	-81.897	-54.360	-37
978	resnet50.a1h_in1k	224	12.560	87.440	44.240	55.760	25.56	1.000	bicubic	-82.210	-54.440	-116
979	resnet50.b2k_in1k	288	12.560	87.440	43.760	56.240	25.56	1.000	bicubic	-82.150	-55.260	-103
980	crossvit_9_dagger_240.in1k	240	12.547	87.453	41.507	58.493	8.78	0.875	bicubic	-80.383	-56.703	+210
981	tf_efficientnet_b3.in1k	300	12.533	87.467	43.240	56.760	12.23	0.904	bicubic	-82.137	-55.480	-93
982	resnext50_32x4d.tv2_in1k	224	12.533	87.467	42.853	57.147	25.03	0.965	bilinear	-82.087	-55.947	-75
983	inception_v3.gluon_in1k	299	12.533	87.467	40.213	59.787	23.83	0.875	bicubic	-80.957	-58.307	+133
984	hgnetv2_b1.ssld_stage2_ft_in1k	288	12.520	87.480	46.707	53.293	6.34	1.000	bicubic	-82.050	-52.193	-66
985	resmlp_24_224.fb_in1k	224	12.467	87.533	43.413	56.587	30.02	0.875	bicubic	-81.553	-54.947	+40
986	tresnet_m.miil_in1k	224	12.467	87.533	41.707	58.293	31.39	0.875	bilinear	-82.143	-56.853	-75
987	resnext50_32x4d.a1_in1k	224	12.467	87.533	39.560	60.440	25.03	1.000	bicubic	-81.563	-58.580	+38
988	ese_vovnet39b.ra_in1k	224	12.453	87.547	41.173	58.827	24.57	0.950	bicubic	-81.617	-57.417	+26
989	efficientvit_b1.r256_in1k	256	12.427	87.573	41.840	58.160	9.10	1.000	bicubic	-81.613	-56.570	+32
990	wide_resnet101_2.tv2_in1k	176	12.360	87.640	37.933	62.067	126.89	0.965	bilinear	-81.730	-60.657	+22
991	regnety_120.pycls_in1k	224	12.347	87.653	41.773	58.227	51.82	0.875	bicubic	-82.173	-56.987	-63
992	ecaresnet50t.a2_in1k	224	12.347	87.653	40.413	59.587	25.57	1.000	bicubic	-82.113	-58.257	-50
993	resnet50d.a1_in1k	224	12.347	87.653	38.773	61.227	25.58	1.000	bicubic	-81.903	-59.937	-11
994	coat_lite_tiny.in1k	224	12.253	87.747	41.080	58.920	5.72	0.900	bicubic	-81.007	-57.190	+155
995	convnext_femto_ols.d1_in1k	288	12.240	87.760	43.507	56.493	5.23	0.950	bicubic	-81.640	-55.103	+58
996	regnety_160.pycls_in1k	224	12.187	87.813	41.120	58.880	83.59	0.875	bicubic	-82.183	-57.360	-40
997	eca_resnet33ts.ra2_in1k	256	12.120	87.880	44.440	55.560	19.68	1.000	bicubic	-82.170	-54.390	-25
998	resnet50.a2_in1k	288	12.053	87.947	40.093	59.907	25.56	1.000	bicubic	-82.597	-58.567	-99
999	efficientnet_em.ra2_in1k	240	11.987	88.013	43.640	56.360	6.90	0.882	bicubic	-81.853	-55.170	+61
1000	resnet101s.gluon_in1k	224	11.987	88.013	40.800	59.200	44.67	0.875	bicubic	-82.753	-57.870	-130
1001	hgnetv2_b1.ssld_stage1_in22k_in1k	288	11.920	88.080	45.360	54.640	6.34	1.000	bicubic	-82.660	-53.300	-87
1002	hrnet_w64.ms_in1k	224	11.920	88.080	40.760	59.240	128.06	0.875	bilinear	-82.100	-57.590	+24
1003	resnetrs101.tf_in1k	192	11.907	88.093	38.787	61.213	63.62	0.940	bicubic	-82.793	-59.973	-125
1004	gcresnet33ts.ra2_in1k	256	11.827	88.173	41.613	58.387	19.88	1.000	bicubic	-82.643	-57.167	-63
1005	efficientnet_b2.ra_in1k	256	11.827	88.173	40.800	59.200	9.11	1.000	bicubic	-82.303	-57.660	+3
1006	resnet101.a3_in1k	224	11.787	88.213	40.280	59.720	44.55	0.950	bicubic	-82.263	-58.190	+10
1007	xcit_tiny_12_p16_224.fb_dist_in1k	224	11.747	88.253	39.853	60.147	6.72	1.000	bicubic	-81.653	-58.647	+122
1008	mobilenetv4_conv_blur_medium.e500_r224_in1k	224	11.720	88.280	41.640	58.360	9.72	1.000	bicubic	-82.640	-57.020	-44
1009	nf_resnet50.ra2_in1k	288	11.693	88.307	45.347	54.653	25.56	0.940	bicubic	-82.927	-53.453	-103
1010	ecaresnet50t.a3_in1k	224	11.693	88.307	40.907	59.093	25.57	0.950	bicubic	-82.707	-57.693	-59
1011	cspdarknet53.ra_in1k	256	11.667	88.333	43.187	56.813	27.64	0.887	bilinear	-83.003	-55.313	-124
1012	xception41.tf_in1k	299	11.653	88.347	38.773	61.227	26.97	0.903	bicubic	-81.737	-59.607	+119
1013	efficientnet_b0.ra4_e3600_r224_in1k	256	11.640	88.360	40.867	59.133	5.29	1.000	bicubic	-82.230	-57.433	+43
1014	vit_small_patch32_224.augreg_in21k_ft_in1k	224	11.627	88.373	39.507	60.493	22.88	0.900	bicubic	-80.413	-58.723	+257
1015	gmixer_24_224.ra3_in1k	224	11.627	88.373	37.267	62.733	24.72	0.875	bicubic	-81.243	-60.623	+182
1016	fbnetv3_b.ra2_in1k	256	11.600	88.400	44.067	55.933	8.60	0.950	bilinear	-82.400	-54.413	+13
1017	convnextv2_femto.fcmae_ft_in1k	288	11.587	88.413	40.587	59.413	5.23	0.950	bicubic	-82.613	-58.073	-31
1018	darknet53.c2ns_in1k	256	11.560	88.440	41.493	58.507	41.61	1.000	bicubic	-82.800	-57.197	-55
1019	botnet26t_256.c1_in1k	256	11.507	88.493	39.760	60.240	12.49	0.950	bicubic	-82.013	-58.700	+89
1020	resnetaa50.a1h_in1k	224	11.480	88.520	40.613	59.387	25.56	1.000	bicubic	-83.240	-58.077	-146
1021	dla102x2.in1k	224	11.467	88.533	41.133	58.867	41.28	0.875	bilinear	-82.523	-57.387	+13
1022	resnet50.ra_in1k	288	11.440	88.560	41.133	58.867	25.56	0.950	bicubic	-82.780	-57.507	-40
1023	regnety_080.pycls_in1k	224	11.413	88.587	40.747	59.253	39.18	0.875	bicubic	-82.767	-57.793	-33
1024	xcit_nano_12_p16_384.fb_dist_in1k	384	11.387	88.613	39.573	60.427	3.05	1.000	bicubic	-80.513	-58.467	+261
1025	efficientvit_b1.r224_in1k	224	11.373	88.627	39.973	60.027	9.10	0.950	bicubic	-82.167	-58.357	+81
1026	levit_128.fb_dist_in1k	224	11.360	88.640	39.747	60.253	9.21	0.900	bicubic	-82.030	-58.663	+106
1027	wide_resnet50_2.tv2_in1k	176	11.333	88.667	40.813	59.187	68.88	0.965	bilinear	-83.027	-57.827	-65
1028	fbnetv3_d.ra2_in1k	224	11.307	88.693	41.053	58.947	10.31	0.950	bilinear	-82.133	-57.387	+96
1029	efficientnet_b2_pruned.in1k	260	11.293	88.707	42.093	57.907	8.31	0.890	bicubic	-82.847	-56.417	-23
1030	lambda_resnet26t.c1_in1k	256	11.293	88.707	39.960	60.040	10.96	0.940	bicubic	-82.577	-58.430	+24
1031	levit_conv_128.fb_dist_in1k	224	11.293	88.707	39.720	60.280	9.21	0.900	bicubic	-82.077	-58.660	+105
1032	tf_efficientnet_el.in1k	300	11.240	88.760	41.467	58.533	10.59	0.904	bicubic	-83.170	-57.233	-84
1033	seresnext26t_32x4d.bt_in1k	288	11.200	88.800	40.693	59.307	16.81	0.950	bicubic	-82.360	-57.687	+70
1034	tf_efficientnetv2_b3.in1k	240	11.187	88.813	39.160	60.840	14.36	0.904	bicubic	-83.393	-59.670	-117
1035	dpn92.mx_in1k	224	11.120	88.880	39.253	60.747	37.67	0.875	bicubic	-83.160	-59.497	-61
1036	convnext_femto.d1_in1k	288	11.107	88.893	42.573	57.427	5.22	0.950	bicubic	-82.813	-55.957	+11
1037	tf_efficientnet_b0.ns_jft_in1k	224	11.093	88.907	39.907	60.093	5.29	0.875	bicubic	-82.597	-58.723	+48
1038	resnet152c.gluon_in1k	224	11.053	88.947	36.787	63.213	60.21	0.875	bicubic	-83.107	-61.823	-41
1039	mobilevitv2_100.cvnets_in1k	256	11.027	88.973	40.133	59.867	4.90	0.888	bicubic	-82.263	-58.117	+107
1040	xcit_tiny_12_p16_224.fb_in1k	224	10.947	89.053	36.893	63.107	6.72	1.000	bicubic	-81.633	-61.357	+186
1041	inception_v3.tf_adv_in1k	299	10.947	89.053	36.733	63.267	23.83	0.875	bicubic	-81.943	-61.397	+155
1042	ecaresnet26t.ra2_in1k	256	10.920	89.080	40.107	59.893	16.01	0.950	bicubic	-83.060	-58.413	-5
1043	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	384	10.920	89.080	39.400	60.600	6.36	1.000	bicubic	-81.130	-58.890	+229
1044	convnext_pico.d1_in1k	224	10.907	89.093	41.227	58.773	9.05	0.950	bicubic	-83.063	-57.363	-2
1045	hrnet_w48.ms_in1k	224	10.880	89.120	39.867	60.133	77.47	0.875	bilinear	-83.060	-58.733	-1
1046	darknetaa53.c2ns_in1k	256	10.853	89.147	39.747	60.253	36.02	1.000	bilinear	-83.317	-58.863	-53
1047	mobilenetv4_conv_medium.e500_r224_in1k	224	10.840	89.160	39.120	60.880	9.72	1.000	bicubic	-83.140	-59.630	-11
1048	halonet26t.a1h_in1k	256	10.840	89.160	38.653	61.347	12.48	0.950	bicubic	-83.210	-59.847	-29
1049	regnety_008_tv.tv2_in1k	224	10.827	89.173	40.613	59.387	6.43	0.965	bicubic	-82.863	-57.877	+35
1050	nf_regnet_b1.ra2_in1k	256	10.827	89.173	40.480	59.520	10.22	0.900	bicubic	-82.613	-58.110	+74
1051	tf_efficientnetv2_b2.in1k	260	10.827	89.173	39.480	60.520	10.10	0.890	bicubic	-83.613	-59.120	-107
1052	inception_v3.tf_in1k	299	10.827	89.173	36.667	63.333	23.83	0.875	bicubic	-82.523	-61.953	+87
1053	mobileone_s4.apple_in1k	224	10.787	89.213	38.453	61.547	14.95	0.900	bilinear	-82.983	-59.797	+21
1054	resnet152.tv2_in1k	176	10.760	89.240	35.373	64.627	60.19	0.965	bilinear	-83.260	-63.257	-28
1055	dpn107.mx_in1k	224	10.747	89.253	38.040	61.960	86.92	0.875	bicubic	-83.623	-60.790	-96
1056	resnet34d.ra2_in1k	288	10.707	89.293	38.987	61.013	21.82	0.950	bicubic	-82.943	-59.523	+34
1057	mobilenet_edgetpu_v2_m	224	10.680	89.320	41.320	58.680	8.46	0.950	bicubic	-83.650	-57.320	-90
1058	seresnext26d_32x4d.bt_in1k	288	10.627	89.373	40.960	59.040	16.81	0.950	bicubic	-82.783	-57.390	+70
1059	xcit_nano_12_p8_224.fb_dist_in1k	224	10.600	89.400	37.947	62.053	3.05	1.000	bicubic	-81.510	-60.223	+207
1060	resnet50d.ra2_in1k	224	10.573	89.427	40.187	59.813	25.58	0.950	bicubic	-83.797	-58.443	-102
1061	ecaresnet50d_pruned.miil_in1k	224	10.560	89.440	39.773	60.227	19.94	0.950	bicubic	-83.800	-58.987	-100
1062	resnet50.c2_in1k	224	10.453	89.547	38.720	61.280	25.56	1.000	bicubic	-83.737	-59.930	-73
1063	tf_efficientnet_b2.ap_in1k	260	10.427	89.573	39.720	60.280	9.11	0.890	bicubic	-84.083	-58.940	-130
1064	repvit_m0_9.dist_450e_in1k	224	10.347	89.653	40.027	59.973	5.49	0.950	bicubic	-83.263	-58.143	+32
1065	dpn131.mx_in1k	224	10.347	89.653	36.653	63.347	79.25	0.875	bicubic	-83.683	-62.057	-42
1066	hrnet_w44.ms_in1k	224	10.320	89.680	39.320	60.680	67.06	0.875	bilinear	-83.280	-59.370	+33
1067	densenetblur121d.ra_in1k	288	10.307	89.693	39.507	60.493	8.00	0.950	bicubic	-82.323	-58.583	+154
1068	seresnet50.a1_in1k	224	10.307	89.693	36.973	63.027	28.09	1.000	bicubic	-83.683	-61.587	-33
1069	resnetv2_50.a1h_in1k	224	10.293	89.707	38.040	61.960	25.55	1.000	bicubic	-84.097	-60.590	-117
1070	rexnet_130.nav_in1k	224	10.280	89.720	41.440	58.560	7.56	0.875	bicubic	-83.620	-56.960	-19
1071	xcit_nano_12_p8_224.fb_in1k	224	10.200	89.800	37.120	62.880	3.05	1.000	bicubic	-80.770	-60.670	+256
1072	regnetx_160.pycls_in1k	224	10.147	89.853	38.053	61.947	54.28	0.875	bicubic	-84.003	-60.617	-70
1073	resnext101_32x8d.tv_in1k	224	10.133	89.867	37.733	62.267	88.79	0.875	bilinear	-83.677	-60.767	-6
1074	convnext_pico_ols.d1_in1k	224	10.093	89.907	39.787	60.213	9.06	1.000	bicubic	-84.007	-58.753	-63
1075	resnetrs50.tf_in1k	224	10.080	89.920	37.267	62.733	35.69	0.910	bicubic	-84.210	-61.373	-102
1076	regnety_064.pycls_in1k	224	10.027	89.973	38.960	61.040	30.58	0.875	bicubic	-84.133	-59.770	-81
1077	lambda_resnet26rpt_256.c1_in1k	256	10.027	89.973	37.560	62.440	10.99	0.940	bicubic	-83.703	-61.030	+5
1078	dpn98.mx_in1k	224	9.987	90.013	35.973	64.027	61.57	0.875	bicubic	-84.173	-62.747	-79
1079	resnet33ts.ra2_in1k	288	9.960	90.040	39.293	60.707	19.68	1.000	bicubic	-84.200	-59.297	-81
1080	legacy_xception.tf_in1k	299	9.947	90.053	37.960	62.040	22.86	0.897	bicubic	-83.523	-60.570	+37
1081	efficientnet_b1.ft_in1k	256	9.947	90.053	37.307	62.693	7.79	1.000	bicubic	-83.333	-60.933	+68
1082	resnext50_32x4d.a3_in1k	224	9.907	90.093	37.613	62.387	25.03	0.950	bicubic	-83.743	-60.957	+9
1083	legacy_seresnext50_32x4d.in1k	224	9.893	90.107	38.960	61.040	27.56	0.875	bilinear	-83.837	-59.530	-3
1084	inception_v3.tv_in1k	299	9.867	90.133	35.040	64.960	23.83	0.875	bicubic	-82.893	-62.930	+125
1085	resnet152.gluon_in1k	224	9.747	90.253	35.920	64.080	60.19	0.875	bicubic	-84.413	-62.710	-84
1086	tf_efficientnet_b2.aa_in1k	260	9.693	90.307	38.907	61.093	9.11	0.890	bicubic	-84.707	-59.783	-135
1087	resnet50.a1_in1k	224	9.680	90.320	36.493	63.507	25.56	1.000	bicubic	-84.440	-61.997	-78
1088	seresnet50.a2_in1k	224	9.613	90.387	36.640	63.360	28.09	1.000	bicubic	-84.257	-61.970	-31
1089	tf_efficientnet_cc_b1_8e.in1k	240	9.600	90.400	36.987	63.013	39.72	0.882	bicubic	-84.310	-61.283	-40
1090	tf_efficientnet_lite3.in1k	300	9.587	90.413	39.067	60.933	8.20	0.904	bilinear	-84.613	-59.273	-103
1091	convnextv2_femto.fcmae_ft_in1k	224	9.507	90.493	37.147	62.853	5.23	0.950	bicubic	-83.723	-61.293	+58
1092	resnet50d.a2_in1k	224	9.507	90.493	36.027	63.973	25.58	1.000	bicubic	-84.513	-62.313	-63
1093	fbnetv3_b.ra2_in1k	224	9.493	90.507	38.840	61.160	8.60	0.950	bilinear	-83.807	-59.610	+51
1094	resnet101.tv2_in1k	176	9.493	90.507	34.320	65.680	44.55	0.965	bilinear	-84.267	-64.040	-18
1095	resnext50d_32x4d.bt_in1k	224	9.440	90.560	37.827	62.173	25.05	0.950	bicubic	-84.600	-60.673	-76
1096	res2net101_26w_4s.in1k	224	9.440	90.560	34.347	65.653	45.21	0.875	bilinear	-84.300	-63.973	-17
1097	efficientnet_b0.ra4_e3600_r224_in1k	224	9.413	90.587	36.107	63.893	5.29	1.000	bicubic	-83.627	-62.103	+78
1098	resnet50.ram_in1k	288	9.413	90.587	35.373	64.627	25.56	0.950	bicubic	-85.107	-63.587	-166
1099	resnext50_32x4d.ra_in1k	224	9.347	90.653	38.000	62.000	25.03	0.950	bicubic	-84.693	-60.370	-79
1100	nf_resnet50.ra2_in1k	256	9.320	90.680	40.347	59.653	25.56	0.940	bicubic	-84.840	-58.113	-105
1101	cspresnet50.ra_in1k	256	9.267	90.733	39.600	60.400	21.62	0.887	bilinear	-84.533	-59.030	-32
1102	resnext50_32x4d.a2_in1k	224	9.253	90.747	35.747	64.253	25.03	1.000	bicubic	-84.737	-62.483	-66
1103	resnet34.a1_in1k	288	9.253	90.747	34.533	65.467	21.80	1.000	bicubic	-83.847	-63.767	+66
1104	legacy_seresnet152.in1k	224	9.240	90.760	37.053	62.947	66.82	0.875	bilinear	-84.210	-61.307	+18
1105	resnet50.c1_in1k	224	9.227	90.773	36.480	63.520	25.56	1.000	bicubic	-84.943	-62.110	-111
1106	repvit_m0_9.dist_300e_in1k	224	9.173	90.827	38.347	61.653	5.49	0.950	bicubic	-84.257	-60.383	+19
1107	hrnet_w40.ms_in1k	224	9.147	90.853	36.653	63.347	57.56	0.875	bilinear	-84.343	-61.837	+7
1108	resnet50.d_in1k	224	9.120	90.880	34.307	65.693	25.56	1.000	bicubic	-84.810	-64.033	-63
1109	dpn68b.ra_in1k	224	9.120	90.880	31.907	68.093	12.61	1.000	bicubic	-83.970	-66.563	+63
1110	regnetx_120.pycls_in1k	224	9.093	90.907	36.907	63.093	46.11	0.875	bicubic	-85.147	-61.743	-129
1111	vit_tiny_patch16_224.augreg_in21k_ft_in1k	224	9.080	90.920	34.133	65.867	5.72	0.900	bicubic	-82.690	-63.907	+182
1112	resnet32ts.ra2_in1k	288	9.040	90.960	38.107	61.893	17.96	1.000	bicubic	-84.790	-60.553	-50
1113	resnext50_32x4d.gluon_in1k	224	9.040	90.960	36.213	63.787	25.03	0.875	bicubic	-84.790	-62.197	-48
1114	vit_base_patch16_224.sam_in1k	224	9.013	90.987	36.053	63.947	86.57	0.900	bicubic	-85.137	-62.667	-110
1115	resnest26d.gluon_in1k	224	9.000	91.000	37.533	62.467	17.07	0.875	bilinear	-84.390	-60.637	+15
1116	regnety_040.pycls_in1k	224	9.000	91.000	37.120	62.880	20.65	0.875	bicubic	-84.860	-61.520	-57
1117	crossvit_tiny_240.in1k	240	8.933	91.067	34.293	65.707	7.01	0.875	bicubic	-81.297	-63.317	+235
1118	bat_resnext26ts.ch_in1k	256	8.920	91.080	36.000	64.000	10.73	0.900	bicubic	-84.400	-62.350	+26
1119	mixnet_l.ft_in1k	224	8.867	91.133	36.253	63.747	7.33	0.875	bicubic	-84.553	-61.977	+8
1120	hgnetv2_b0.ssld_stage1_in22k_in1k	288	8.827	91.173	39.133	60.867	6.00	1.000	bicubic	-84.783	-59.577	-24
1121	gcresnext26ts.ch_in1k	288	8.813	91.187	36.733	63.267	10.48	1.000	bicubic	-84.377	-61.557	+34
1122	efficientvit_m5.r224_in1k	224	8.800	91.200	34.440	65.560	12.47	0.875	bicubic	-83.640	-63.900	+120
1123	hgnetv2_b1.ssld_stage2_ft_in1k	224	8.787	91.213	38.440	61.560	6.34	1.000	bicubic	-84.763	-60.320	-19
1124	rexnet_100.nav_in1k	224	8.787	91.213	36.227	63.773	4.80	0.875	bicubic	-84.253	-61.923	+52
1125	resnet50d.a3_in1k	224	8.773	91.227	36.600	63.400	25.58	0.950	bicubic	-84.747	-61.720	-18
1126	hrnet_w18.ms_aug_in1k	224	8.747	91.253	39.013	60.987	21.30	0.950	bilinear	-84.763	-59.347	-17
1127	convit_tiny.fb_in1k	224	8.693	91.307	34.040	65.960	5.71	0.875	bicubic	-81.927	-63.700	+215
1128	mobilenetv3_large_100.miil_in21k_ft_in1k	224	8.693	91.307	32.467	67.533	5.48	0.875	bilinear	-83.557	-65.183	+130
1129	hrnet_w30.ms_in1k	224	8.667	91.333	37.067	62.933	37.71	0.875	bilinear	-84.533	-61.343	+24
1130	resnet50.bt_in1k	288	8.640	91.360	38.413	61.587	25.56	0.950	bicubic	-85.670	-60.137	-161
1131	levit_128s.fb_dist_in1k	224	8.627	91.373	32.827	67.173	7.78	0.900	bicubic	-83.313	-65.243	+151
1132	levit_conv_128s.fb_dist_in1k	224	8.627	91.373	32.827	67.173	7.78	0.900	bicubic	-83.313	-65.243	+151
1133	ghostnetv2_160.in1k	224	8.613	91.387	36.533	63.467	12.39	0.875	bicubic	-84.397	-61.877	+48
1134	resnet50.tv2_in1k	176	8.600	91.400	36.000	64.000	25.56	0.965	bilinear	-85.330	-62.570	-89
1135	hgnetv2_b0.ssld_stage2_ft_in1k	288	8.573	91.427	39.133	60.867	6.00	1.000	bicubic	-85.257	-59.627	-73
1136	repvit_m1.dist_in1k	224	8.547	91.453	36.800	63.200	5.49	0.950	bicubic	-84.773	-61.620	+7
1137	eca_resnext26ts.ch_in1k	288	8.547	91.453	36.427	63.573	10.30	1.000	bicubic	-84.553	-62.003	+31
1138	dla169.in1k	224	8.453	91.547	35.960	64.040	53.39	0.875	bilinear	-84.877	-62.640	+1
1139	hgnetv2_b1.ssld_stage1_in22k_in1k	224	8.427	91.573	37.800	62.200	6.34	1.000	bicubic	-85.043	-60.910	-22
1140	mixer_b16_224.goog_in21k_ft_in1k	224	8.427	91.573	29.267	70.733	59.88	0.875	bicubic	-83.433	-67.933	+148
1141	tf_efficientnet_b2.in1k	260	8.400	91.600	36.333	63.667	9.11	0.890	bicubic	-85.730	-62.107	-135
1142	tf_efficientnet_b1.ap_in1k	240	8.400	91.600	35.133	64.867	7.79	0.882	bicubic	-85.340	-63.397	-63
1143	convnext_atto_ols.a2_in1k	288	8.400	91.600	34.787	65.213	3.70	0.950	bicubic	-84.690	-63.293	+27
1144	resnet50.a1h_in1k	176	8.360	91.640	33.707	66.293	25.56	1.000	bicubic	-85.360	-64.693	-60
1145	repvgg_b2.rvgg_in1k	224	8.280	91.720	36.027	63.973	89.02	0.875	bilinear	-85.220	-62.713	-32
1146	legacy_seresnet101.in1k	224	8.280	91.720	35.560	64.440	49.33	0.875	bilinear	-85.060	-62.930	-8
1147	ese_vovnet19b_dw.ra_in1k	288	8.213	91.787	37.173	62.827	6.54	0.950	bicubic	-84.957	-61.097	+12
1148	crossvit_9_240.in1k	240	8.200	91.800	34.107	65.893	8.55	0.875	bicubic	-82.460	-63.593	+190
1149	dla102x.in1k	224	8.173	91.827	36.853	63.147	26.31	0.875	bilinear	-85.317	-61.737	-33
1150	seresnext26d_32x4d.bt_in1k	224	8.147	91.853	34.693	65.307	16.81	0.950	bicubic	-84.753	-63.517	+44
1151	resmlp_12_224.fb_distilled_in1k	224	8.107	91.893	36.627	63.373	15.35	0.875	bicubic	-84.713	-61.503	+50
1152	seresnext26t_32x4d.bt_in1k	224	8.080	91.920	35.320	64.680	16.81	0.950	bicubic	-85.060	-62.960	+11
1153	cs3darknet_m.c2ns_in1k	288	7.947	92.053	36.240	63.760	9.31	0.950	bicubic	-85.403	-61.800	-17
1154	hrnet_w32.ms_in1k	224	7.933	92.067	37.253	62.747	41.23	0.875	bilinear	-85.577	-61.347	-43
1155	seresnext26ts.ch_in1k	288	7.920	92.080	35.973	64.027	10.39	1.000	bicubic	-85.060	-62.167	+28
1156	poolformerv2_s12.sail_in1k	224	7.907	92.093	34.467	65.533	11.89	1.000	bicubic	-85.033	-63.893	+31
1157	resnet50.b2k_in1k	224	7.907	92.093	34.267	65.733	25.56	1.000	bicubic	-86.123	-64.293	-133
1158	resnet101c.gluon_in1k	224	7.880	92.120	32.920	67.080	44.57	0.875	bicubic	-85.800	-65.520	-71
1159	vit_base_patch32_224.augreg_in1k	224	7.867	92.133	30.400	69.600	88.22	0.900	bicubic	-83.313	-67.510	+157
1160	repghostnet_200.in1k	224	7.853	92.147	36.747	63.253	9.80	0.875	bicubic	-85.657	-61.693	-51
1161	resnet26t.ra2_in1k	320	7.853	92.147	36.320	63.680	16.01	1.000	bicubic	-85.327	-62.180	-6
1162	res2net50_26w_8s.in1k	224	7.853	92.147	33.693	66.307	48.40	0.875	bilinear	-85.537	-64.917	-27
1163	resnet50d.gluon_in1k	224	7.813	92.187	34.760	65.240	25.58	0.875	bicubic	-85.977	-63.670	-92
1164	efficientformerv2_s0.snap_dist_in1k	224	7.800	92.200	32.947	67.053	3.60	0.950	bicubic	-84.150	-64.943	+116
1165	mobilevitv2_075.cvnets_in1k	256	7.773	92.227	33.400	66.600	2.87	0.888	bicubic	-83.937	-64.430	+134
1166	dla60_res2next.in1k	224	7.760	92.240	34.667	65.333	17.03	0.875	bilinear	-85.420	-63.743	-10
1167	gcresnext26ts.ch_in1k	256	7.760	92.240	33.280	66.720	10.48	1.000	bicubic	-84.970	-64.900	+47
1168	fastvit_t8.apple_dist_in1k	256	7.747	92.253	34.427	65.573	4.03	0.900	bicubic	-84.793	-63.603	+65
1169	tf_efficientnetv2_b1.in1k	240	7.733	92.267	34.333	65.667	8.14	0.882	bicubic	-86.227	-64.297	-126
1170	deit_tiny_distilled_patch16_224.fb_in1k	224	7.720	92.280	33.507	66.493	5.91	0.900	bicubic	-83.020	-64.073	+167
1171	mobilevit_xs.cvnets_in1k	256	7.707	92.293	32.587	67.413	2.32	0.900	bicubic	-83.133	-65.313	+161
1172	regnety_032.pycls_in1k	224	7.667	92.333	34.093	65.907	19.44	0.875	bicubic	-85.793	-64.527	-51
1173	resnet33ts.ra2_in1k	256	7.653	92.347	35.000	65.000	19.68	1.000	bicubic	-86.087	-63.370	-96
1174	convnextv2_atto.fcmae_ft_in1k	288	7.640	92.360	32.680	67.320	3.71	0.950	bicubic	-85.330	-65.380	+11
1175	efficientnet_b1.ft_in1k	224	7.613	92.387	31.693	68.307	7.79	1.000	bicubic	-84.907	-66.197	+59
1176	resnet50.b1k_in1k	224	7.573	92.427	33.920	66.080	25.56	1.000	bicubic	-86.427	-64.710	-146
1177	convnext_atto.d2_in1k	288	7.547	92.453	34.773	65.227	3.70	0.950	bicubic	-85.223	-63.277	+28
1178	dla60_res2net.in1k	224	7.547	92.453	34.573	65.427	20.85	0.875	bilinear	-85.603	-63.837	-16
1179	tf_efficientnetv2_b2.in1k	208	7.547	92.453	32.947	67.053	10.10	0.890	bicubic	-86.273	-65.713	-112
1180	convnext_femto_ols.d1_in1k	224	7.453	92.547	35.013	64.987	5.23	0.950	bicubic	-85.407	-63.357	+17
1181	resnet152.a3_in1k	160	7.400	92.600	31.573	68.427	60.19	0.950	bicubic	-86.230	-66.817	-86
1182	hardcorenas_e.miil_green_in1k	224	7.373	92.627	33.347	66.653	8.07	0.875	bilinear	-85.197	-64.783	+46
1183	regnetx_064.pycls_in1k	224	7.360	92.640	34.293	65.707	26.21	0.875	bicubic	-86.540	-64.337	-133
1184	resnet34.a2_in1k	288	7.333	92.667	31.867	68.133	21.80	1.000	bicubic	-85.417	-66.113	+27
1185	wide_resnet101_2.tv_in1k	224	7.320	92.680	33.733	66.267	126.89	0.875	bilinear	-86.430	-64.797	-109
1186	efficientnet_b1_pruned.in1k	240	7.293	92.707	34.387	65.613	6.33	0.882	bicubic	-85.497	-63.653	+17
1187	eca_resnext26ts.ch_in1k	256	7.280	92.720	33.200	66.800	10.30	1.000	bicubic	-85.390	-64.880	+30
1188	resnext50_32x4d.tv2_in1k	176	7.280	92.720	31.827	68.173	25.03	0.965	bilinear	-86.330	-66.683	-89
1189	resnetblur50.bt_in1k	224	7.227	92.773	35.120	64.880	25.56	0.950	bicubic	-86.753	-63.230	-153
1190	regnetx_008.tv2_in1k	224	7.227	92.773	34.173	65.827	7.26	0.965	bicubic	-85.363	-64.007	+36
1191	efficientnet_b0.ra_in1k	224	7.227	92.773	33.933	66.067	5.29	0.875	bicubic	-85.443	-64.247	+30
1192	resnet50.a2_in1k	224	7.227	92.773	31.867	68.133	25.56	1.000	bicubic	-86.643	-66.733	-133
1193	resnet101.gluon_in1k	224	7.213	92.787	32.720	67.280	44.55	0.875	bicubic	-86.517	-65.680	-112
1194	deit_tiny_patch16_224.fb_in1k	224	7.213	92.787	30.627	69.373	5.72	0.900	bicubic	-82.457	-66.853	+172
1195	densenet121.ra_in1k	288	7.200	92.800	35.293	64.707	7.98	0.950	bicubic	-85.350	-62.897	+35
1196	resnet32ts.ra2_in1k	256	7.200	92.800	33.547	66.453	17.96	1.000	bicubic	-86.430	-64.683	-103
1197	tf_efficientnet_b1.aa_in1k	240	7.160	92.840	33.027	66.973	7.79	0.882	bicubic	-86.350	-65.503	-85
1198	tf_efficientnet_cc_b0_8e.in1k	224	7.147	92.853	32.053	67.947	24.01	0.875	bicubic	-85.683	-66.197	+1
1199	resnet50s.gluon_in1k	224	7.120	92.880	33.133	66.867	25.68	0.875	bicubic	-86.550	-65.327	-110
1200	tf_mixnet_l.in1k	224	7.093	92.907	31.560	68.440	7.33	0.875	bicubic	-86.197	-66.470	-54
1201	edgenext_x_small.in1k	288	7.093	92.907	30.600	69.400	2.34	1.000	bicubic	-84.627	-66.990	+98
1202	resmlp_12_224.fb_in1k	224	7.067	92.933	33.867	66.133	15.35	0.875	bicubic	-85.143	-64.283	+58
1203	densenetblur121d.ra_in1k	224	7.053	92.947	31.987	68.013	8.00	0.950	bicubic	-85.017	-65.973	+67
1204	convmixer_1024_20_ks9_p14.in1k	224	7.013	92.987	32.720	67.280	24.38	0.960	bicubic	-85.417	-65.560	+40
1205	hardcorenas_f.miil_green_in1k	224	6.973	93.027	33.947	66.053	8.20	0.875	bilinear	-86.007	-64.503	-21
1206	cs3darknet_focus_m.c2ns_in1k	288	6.947	93.053	34.333	65.667	9.30	0.950	bicubic	-86.043	-64.027	-24
1207	pit_ti_distilled_224.in1k	224	6.907	93.093	30.773	69.227	5.10	0.900	bicubic	-83.893	-66.857	+126
1208	fastvit_t8.apple_in1k	256	6.800	93.200	33.453	66.547	4.03	0.900	bicubic	-85.340	-64.437	+57
1209	mixnet_m.ft_in1k	224	6.707	93.293	32.040	67.960	5.01	0.875	bicubic	-85.733	-66.010	+34
1210	convnext_femto.d1_in1k	224	6.667	93.333	33.213	66.787	5.22	0.950	bicubic	-86.063	-65.057	+2
1211	dpn68b.mx_in1k	224	6.667	93.333	32.880	67.120	12.61	0.875	bicubic	-86.153	-65.270	-11
1212	ghostnetv2_130.in1k	224	6.667	93.333	32.613	67.387	8.96	0.875	bicubic	-85.653	-65.457	+39
1213	selecsls60b.in1k	224	6.653	93.347	33.053	66.947	32.77	0.875	bicubic	-86.677	-65.217	-73
1214	resnet50.ra_in1k	224	6.653	93.347	32.907	67.093	25.56	0.950	bicubic	-86.817	-65.603	-93
1215	tinynet_a.in1k	192	6.653	93.347	32.707	67.293	6.19	0.875	bicubic	-85.807	-65.373	+24
1216	hgnetv2_b0.ssld_stage1_in22k_in1k	224	6.640	93.360	33.013	66.987	6.00	1.000	bicubic	-85.800	-64.847	+24
1217	efficientnet_es.ra_in1k	224	6.627	93.373	34.347	65.653	5.44	0.875	bicubic	-86.573	-63.993	-65
1218	mobileone_s3.apple_in1k	224	6.600	93.400	32.000	68.000	10.17	0.900	bilinear	-86.310	-66.180	-26
1219	poolformer_s12.sail_in1k	224	6.587	93.413	34.187	65.813	11.92	0.900	bicubic	-86.043	-64.003	+3
1220	res2net50_26w_6s.in1k	224	6.547	93.453	31.493	68.507	37.05	0.875	bilinear	-86.873	-66.767	-94
1221	hardcorenas_d.miil_green_in1k	224	6.533	93.467	32.133	67.867	7.50	0.875	bilinear	-85.927	-65.887	+18
1222	legacy_seresnext26_32x4d.in1k	224	6.520	93.480	33.027	66.973	16.79	0.875	bicubic	-86.120	-65.083	-2
1223	dla60x.in1k	224	6.453	93.547	33.973	66.027	17.35	0.875	bilinear	-86.647	-64.517	-56
1224	tf_efficientnet_b1.in1k	240	6.440	93.560	32.133	67.867	7.79	0.882	bicubic	-86.630	-66.147	-51
1225	hgnetv2_b0.ssld_stage2_ft_in1k	224	6.427	93.573	32.827	67.173	6.00	1.000	bicubic	-86.253	-65.163	-10
1226	regnetx_080.pycls_in1k	224	6.427	93.573	32.347	67.653	39.57	0.875	bicubic	-87.423	-66.173	-166
1227	repghostnet_150.in1k	224	6.427	93.573	32.133	67.867	6.58	0.875	bicubic	-85.943	-65.927	+21
1228	ese_vovnet19b_dw.ra_in1k	224	6.413	93.587	31.973	68.027	6.54	0.950	bicubic	-86.007	-66.067	+16
1229	skresnet34.ra_in1k	224	6.413	93.587	31.493	68.507	22.28	0.875	bicubic	-85.967	-66.647	+19
1230	regnety_004.tv2_in1k	224	6.373	93.627	30.427	69.573	4.34	0.965	bicubic	-85.247	-67.483	+70
1231	repvgg_b1.rvgg_in1k	224	6.333	93.667	33.600	66.400	57.42	0.875	bilinear	-86.997	-64.910	-92
1232	resnet50.a3_in1k	224	6.333	93.667	31.547	68.453	25.56	0.950	bicubic	-86.437	-66.863	-25
1233	ecaresnet50t.a3_in1k	160	6.293	93.707	30.373	69.627	25.57	0.950	bicubic	-86.777	-67.917	-59
1234	convnextv2_atto.fcmae_ft_in1k	224	6.240	93.760	29.133	70.867	3.71	0.950	bicubic	-85.740	-68.757	+43
1235	resnet18.fb_swsl_ig1b_ft_in1k	224	6.227	93.773	31.520	68.480	11.69	0.875	bilinear	-84.433	-66.220	+103
1236	edgenext_x_small.in1k	256	6.227	93.773	28.253	71.747	2.34	1.000	bicubic	-84.803	-69.167	+86
1237	resnet101.a3_in1k	160	6.200	93.800	28.880	71.120	44.55	0.950	bicubic	-86.840	-69.310	-60
1238	seresnext26ts.ch_in1k	256	6.133	93.867	32.467	67.533	10.39	1.000	bicubic	-86.457	-65.793	-13
1239	legacy_seresnet50.in1k	224	6.120	93.880	32.360	67.640	28.09	0.875	bilinear	-86.830	-65.850	-52
1240	pit_ti_224.in1k	224	6.120	93.880	30.107	69.893	4.85	0.900	bicubic	-83.820	-67.333	+118
1241	resnet26d.bt_in1k	288	6.107	93.893	32.760	67.240	16.01	0.950	bicubic	-86.383	-65.460	-5
1242	resnet152.tv_in1k	224	6.053	93.947	31.467	68.533	60.19	0.875	bilinear	-87.277	-66.913	-101
1243	tf_efficientnet_cc_b0_4e.in1k	224	5.987	94.013	29.520	70.480	13.31	0.875	bicubic	-86.643	-68.720	-20
1244	resnet34d.ra2_in1k	224	5.947	94.053	29.960	70.040	21.82	0.950	bicubic	-86.833	-68.340	-40
1245	mixer_l16_224.goog_in21k_ft_in1k	224	5.920	94.080	18.200	81.800	208.20	0.875	bicubic	-81.260	-75.320	+157
1246	wide_resnet50_2.tv_in1k	224	5.907	94.093	31.867	68.133	68.88	0.875	bilinear	-87.293	-66.543	-92
1247	tf_efficientnetv2_b0.in1k	224	5.907	94.093	30.787	69.213	7.14	0.875	bicubic	-87.223	-67.573	-83
1248	dla102.in1k	224	5.853	94.147	32.733	67.267	33.27	0.875	bilinear	-87.217	-65.817	-76
1249	resnetrs50.tf_in1k	160	5.813	94.187	27.613	72.387	35.69	0.910	bicubic	-87.117	-70.617	-60
1250	regnetx_040.pycls_in1k	224	5.800	94.200	31.200	68.800	22.12	0.875	bicubic	-87.750	-67.370	-145
1251	selecsls60.in1k	224	5.747	94.253	32.347	67.653	30.67	0.875	bicubic	-87.273	-65.963	-72
1252	hrnet_w18_small_v2.gluon_in1k	224	5.627	94.373	31.960	68.040	15.60	0.875	bicubic	-87.143	-66.210	-47
1253	regnety_016.pycls_in1k	224	5.600	94.400	30.440	69.560	11.20	0.875	bicubic	-87.570	-67.900	-96
1254	hardcorenas_c.miil_green_in1k	224	5.600	94.400	30.133	69.867	5.52	0.875	bilinear	-86.440	-67.707	+20
1255	cs3darknet_m.c2ns_in1k	256	5.587	94.413	31.893	68.107	9.31	0.950	bicubic	-87.333	-66.447	-64
1256	res2next50.in1k	224	5.533	94.467	30.640	69.360	24.67	0.875	bilinear	-87.367	-67.480	-63
1257	resnext50_32x4d.a3_in1k	160	5.520	94.480	27.853	72.147	25.03	0.950	bicubic	-87.160	-70.527	-40
1258	seresnet50.a3_in1k	224	5.507	94.493	30.187	69.813	28.09	0.950	bicubic	-86.593	-67.853	+9
1259	hrnet_w18.ms_in1k	224	5.453	94.547	30.813	69.187	21.30	0.875	bilinear	-86.897	-67.477	-10
1260	resnet26t.ra2_in1k	256	5.400	94.600	29.933	70.067	16.01	1.000	bicubic	-87.710	-68.267	-94
1261	tf_efficientnet_lite2.in1k	260	5.373	94.627	30.987	69.013	6.09	0.890	bicubic	-87.307	-67.253	-45
1262	ghostnetv2_100.in1k	224	5.347	94.653	28.827	71.173	6.16	0.875	bicubic	-85.553	-68.873	+69
1263	convnext_atto_ols.a2_in1k	224	5.333	94.667	28.853	71.147	3.70	0.950	bicubic	-86.477	-69.107	+28
1264	resnest14d.gluon_in1k	224	5.333	94.667	28.560	71.440	10.61	0.875	bilinear	-86.387	-69.310	+33
1265	tf_efficientnet_b0.ap_in1k	224	5.307	94.693	28.853	71.147	5.29	0.875	bicubic	-86.953	-69.167	-11
1266	tf_efficientnetv2_b1.in1k	192	5.307	94.693	28.387	71.613	8.14	0.882	bicubic	-87.863	-69.723	-106
1267	efficientvit_m4.r224_in1k	224	5.307	94.693	28.013	71.987	8.80	0.875	bicubic	-85.293	-69.577	+79
1268	gernet_s.idstcv_in1k	224	5.293	94.707	30.133	69.867	8.17	0.875	bilinear	-86.867	-67.887	-5
1269	resnext26ts.ra2_in1k	288	5.293	94.707	29.400	70.600	10.30	1.000	bicubic	-86.867	-68.840	-5
1270	resnet50.ram_in1k	224	5.240	94.760	27.227	72.773	25.56	0.950	bicubic	-88.550	-71.163	-198
1271	tf_efficientnet_em.in1k	240	5.213	94.787	30.653	69.347	6.90	0.882	bicubic	-87.737	-67.547	-85
1272	resnet34.bt_in1k	288	5.200	94.800	29.307	70.693	21.80	0.950	bicubic	-87.210	-68.843	-26
1273	xcit_nano_12_p16_224.fb_dist_in1k	224	5.200	94.800	26.693	73.307	3.05	1.000	bicubic	-84.460	-70.397	+95
1274	tf_efficientnet_b0.aa_in1k	224	5.187	94.813	29.053	70.947	5.29	0.875	bicubic	-87.093	-68.937	-19
1275	efficientvit_m3.r224_in1k	224	5.187	94.813	27.453	72.547	6.90	0.875	bicubic	-84.693	-70.087	+86
1276	resnet50.bt_in1k	224	5.173	94.827	30.293	69.707	25.56	0.950	bicubic	-88.207	-68.207	-142
1277	cs3darknet_focus_m.c2ns_in1k	256	5.160	94.840	30.187	69.813	9.30	0.950	bicubic	-87.130	-68.013	-24
1278	resnet34.a1_in1k	224	5.160	94.840	26.587	73.413	21.80	1.000	bicubic	-86.580	-71.243	+17
1279	repvgg_b1g4.rvgg_in1k	224	5.147	94.853	30.467	69.533	39.97	0.875	bilinear	-87.863	-67.763	-99
1280	mobilenetv1_100h.ra4_e3600_r224_in1k	256	5.093	94.907	28.480	71.520	5.28	0.950	bicubic	-87.137	-69.520	-22
1281	tf_mixnet_m.in1k	224	5.093	94.907	28.320	71.680	5.01	0.875	bicubic	-87.257	-69.570	-30
1282	res2net50_26w_4s.in1k	224	5.067	94.933	29.053	70.947	25.70	0.875	bilinear	-87.443	-68.997	-47
1283	mobilenetv3_large_100.ra_in1k	224	5.067	94.933	28.053	71.947	5.48	0.875	bicubic	-86.273	-69.647	+26
1284	convnext_atto.d2_in1k	224	5.027	94.973	27.493	72.507	3.70	0.950	bicubic	-86.763	-70.417	+8
1285	regnetx_004_tv.tv2_in1k	224	4.973	95.027	27.533	72.467	5.50	0.965	bicubic	-85.667	-69.977	+56
1286	hardcorenas_a.miil_green_in1k	224	4.960	95.040	27.947	72.053	5.26	0.875	bilinear	-86.400	-69.593	+19
1287	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	224	4.960	95.040	26.680	73.320	6.34	0.900	bicubic	-84.290	-70.230	+87
1288	mixnet_s.ft_in1k	224	4.920	95.080	28.800	71.200	4.13	0.875	bicubic	-87.020	-69.330	-4
1289	regnetx_032.pycls_in1k	224	4.880	95.120	29.907	70.093	15.30	0.875	bicubic	-88.260	-68.483	-127
1290	res2net50_14w_8s.in1k	224	4.880	95.120	28.347	71.653	25.06	0.875	bilinear	-87.840	-69.843	-77
1291	densenet121.ra_in1k	224	4.880	95.120	27.960	72.040	7.98	0.950	bicubic	-86.880	-70.090	+4
1292	repghostnet_130.in1k	224	4.840	95.160	29.480	70.520	5.48	0.875	bicubic	-87.040	-68.450	-5
1293	tf_efficientnetv2_b0.in1k	192	4.827	95.173	26.613	73.387	7.14	0.875	bicubic	-87.463	-71.647	-39
1294	mobilenetv3_rw.rmsp_in1k	224	4.813	95.187	29.520	70.480	5.48	0.875	bicubic	-86.507	-68.110	+15
1295	hardcorenas_b.miil_green_in1k	224	4.813	95.187	27.760	72.240	5.18	0.875	bilinear	-87.027	-70.010	-5
1296	resnet50c.gluon_in1k	224	4.800	95.200	27.760	72.240	25.58	0.875	bicubic	-88.220	-70.600	-118
1297	xcit_nano_12_p16_224.fb_in1k	224	4.800	95.200	25.253	74.747	3.05	1.000	bicubic	-83.800	-71.577	+89
1298	mobilenetv4_conv_small.e2400_r224_in1k	256	4.693	95.307	26.987	73.013	3.77	0.950	bicubic	-86.317	-70.693	+25
1299	resnext50_32x4d.tv_in1k	224	4.680	95.320	29.840	70.160	25.03	0.875	bilinear	-88.070	-68.420	-89
1300	selecsls42b.in1k	224	4.667	95.333	28.373	71.627	32.46	0.875	bicubic	-87.633	-69.767	-48
1301	densenet161.tv_in1k	224	4.613	95.387	29.507	70.493	28.68	0.875	bicubic	-87.927	-68.793	-69
1302	mobilenetv1_100.ra4_e3600_r224_in1k	256	4.600	95.400	27.067	72.933	4.23	0.950	bicubic	-87.490	-70.753	-33
1303	resnet101.tv_in1k	224	4.560	95.440	29.013	70.987	44.55	0.875	bilinear	-88.250	-69.217	-101
1304	mobileone_s2.apple_in1k	224	4.480	95.520	28.867	71.133	7.88	0.900	bilinear	-88.350	-69.303	-106
1305	tf_efficientnet_lite1.in1k	240	4.480	95.520	28.320	71.680	5.42	0.882	bicubic	-88.120	-69.720	-81
1306	mobilenetv2_120d.ra_in1k	224	4.467	95.533	29.107	70.893	5.83	0.875	bicubic	-88.013	-68.933	-69
1307	resnext26ts.ra2_in1k	256	4.453	95.547	26.000	74.000	10.30	1.000	bicubic	-87.527	-71.920	-31
1308	resnet34.a2_in1k	224	4.427	95.573	24.040	75.960	21.80	1.000	bicubic	-87.093	-73.540	-7
1309	tf_efficientnet_b0.in1k	224	4.413	95.587	26.760	73.240	5.29	0.875	bicubic	-87.677	-71.160	-41
1310	resnet50d.a3_in1k	160	4.373	95.627	26.160	73.840	25.58	0.950	bicubic	-88.067	-71.830	-69
1311	vit_base_patch32_224.sam_in1k	224	4.333	95.667	24.373	75.627	88.22	0.900	bicubic	-85.407	-72.627	+51
1312	pvt_v2_b0.in1k	224	4.307	95.693	25.720	74.280	3.67	0.900	bicubic	-84.473	-71.150	+72
1313	mobilenetv4_conv_small.e1200_r224_in1k	256	4.240	95.760	26.133	73.867	3.77	0.950	bicubic	-86.400	-71.467	+29
1314	repghostnet_111.in1k	224	4.227	95.773	26.293	73.707	4.54	0.875	bicubic	-86.523	-71.147	+22
1315	tinynet_b.in1k	188	4.213	95.787	26.800	73.200	3.73	0.875	bicubic	-86.707	-70.870	+12
1316	fbnetc_100.rmsp_in1k	224	4.213	95.787	25.880	74.120	5.57	0.875	bilinear	-86.567	-71.340	+19
1317	edgenext_xx_small.in1k	288	4.173	95.827	23.880	76.120	1.33	1.000	bicubic	-84.697	-72.800	+65
1318	resnet50.am_in1k	224	4.133	95.867	28.360	71.640	25.56	0.875	bicubic	-89.857	-70.040	-285
1319	efficientnet_es_pruned.in1k	224	4.120	95.880	26.813	73.187	5.44	0.875	bicubic	-87.070	-70.927	-5
1320	resnet50.gluon_in1k	224	4.053	95.947	26.800	73.200	25.56	0.875	bicubic	-88.497	-71.410	-89
1321	densenet201.tv_in1k	224	3.987	96.013	27.267	72.733	20.01	0.875	bicubic	-88.773	-70.963	-113
1322	mobilevitv2_050.cvnets_in1k	256	3.960	96.040	23.680	76.320	1.37	0.888	bicubic	-84.290	-73.290	+70
1323	semnasnet_100.rmsp_in1k	224	3.947	96.053	26.920	73.080	3.89	0.875	bicubic	-87.413	-70.850	-15
1324	tf_mixnet_s.in1k	224	3.933	96.067	25.253	74.747	4.13	0.875	bicubic	-87.577	-72.347	-22
1325	mobilenetv1_100h.ra4_e3600_r224_in1k	224	3.933	96.067	25.080	74.920	5.28	0.950	bicubic	-87.277	-72.680	-12
1326	resnet26.bt_in1k	288	3.907	96.093	28.133	71.867	16.00	0.950	bicubic	-88.123	-70.067	-52
1327	dpn68.mx_in1k	224	3.907	96.093	25.587	74.413	12.61	0.875	bicubic	-88.093	-72.433	-52
1328	repvgg_a2.rvgg_in1k	224	3.840	96.160	27.320	72.680	28.21	0.875	bilinear	-88.100	-70.380	-48
1329	tf_efficientnet_es.in1k	224	3.840	96.160	26.093	73.907	5.44	0.875	bicubic	-88.140	-71.767	-50
1330	resnet18.a1_in1k	288	3.827	96.173	23.013	76.987	11.69	1.000	bicubic	-85.893	-74.087	+33
1331	semnasnet_075.rmsp_in1k	224	3.813	96.187	26.600	73.400	2.91	0.875	bicubic	-86.277	-70.770	+23
1332	edgenext_xx_small.in1k	256	3.813	96.187	22.493	77.507	1.33	1.000	bicubic	-84.467	-73.677	+60
1333	resnet26d.bt_in1k	224	3.800	96.200	26.600	73.400	16.01	0.950	bicubic	-88.430	-71.480	-77
1334	mobilenetv4_conv_small.e2400_r224_in1k	224	3.800	96.200	22.947	77.053	3.77	0.950	bicubic	-86.170	-74.253	+24
1335	mobilevit_xxs.cvnets_in1k	256	3.800	96.200	22.120	77.880	1.27	0.900	bicubic	-83.360	-73.980	+69
1336	regnety_008.pycls_in1k	224	3.747	96.253	26.867	73.133	6.26	0.875	bicubic	-87.983	-71.303	-41
1337	resnet18d.ra2_in1k	288	3.747	96.253	25.680	74.320	11.71	0.950	bicubic	-86.563	-71.880	+14
1338	resnet18.fb_ssl_yfcc100m_ft_in1k	224	3.747	96.253	25.293	74.707	11.69	0.875	bilinear	-86.503	-72.267	+13
1339	densenet169.tv_in1k	224	3.720	96.280	25.573	74.427	14.15	0.875	bicubic	-88.240	-72.517	-60
1340	mobilenetv1_100.ra4_e3600_r224_in1k	224	3.693	96.307	24.133	75.867	4.23	0.950	bicubic	-87.487	-73.237	-25
1341	mobilenetv2_140.ra_in1k	224	3.667	96.333	26.453	73.547	6.11	0.875	bicubic	-88.163	-71.427	-51
1342	tf_mobilenetv3_large_100.in1k	224	3.653	96.347	24.987	75.013	5.48	0.875	bilinear	-87.567	-72.673	-31
1343	dla60.in1k	224	3.640	96.360	28.013	71.987	22.04	0.875	bilinear	-88.570	-70.087	-82
1344	res2net50_48w_2s.in1k	224	3.600	96.400	26.360	73.640	25.29	0.875	bilinear	-88.960	-71.710	-115
1345	efficientvit_m2.r224_in1k	224	3.560	96.440	21.613	78.387	4.19	0.875	bicubic	-84.900	-75.297	+43
1346	efficientnet_lite0.ra_in1k	224	3.547	96.453	26.320	73.680	4.65	0.875	bicubic	-87.593	-71.320	-31
1347	regnety_006.pycls_in1k	224	3.547	96.453	25.120	74.880	6.06	0.875	bicubic	-87.883	-72.510	-43
1348	repghostnet_100.in1k	224	3.547	96.453	24.293	75.707	4.07	0.875	bicubic	-86.773	-73.197	+1
1349	spnasnet_100.rmsp_in1k	224	3.533	96.467	24.387	75.613	4.42	0.875	bilinear	-86.787	-72.803	0
1350	seresnet50.a3_in1k	160	3.533	96.467	22.627	77.373	28.09	0.950	bicubic	-87.467	-74.933	-25
1351	regnetx_016.pycls_in1k	224	3.507	96.493	26.360	73.640	9.19	0.875	bicubic	-88.673	-71.840	-89
1352	ghostnet_100.in1k	224	3.400	96.600	25.187	74.813	5.18	0.875	bicubic	-86.800	-72.063	+1
1353	mobilenetv4_conv_small.e1200_r224_in1k	224	3.400	96.600	23.307	76.693	3.77	0.950	bicubic	-86.280	-73.743	+11
1354	resnet34.a3_in1k	224	3.400	96.600	23.253	76.747	21.80	0.950	bicubic	-86.520	-73.917	+6
1355	resnet50.a3_in1k	160	3.373	96.627	23.600	76.400	25.56	0.950	bicubic	-88.057	-74.160	-51
1356	legacy_seresnet34.in1k	224	3.320	96.680	23.720	76.280	21.96	0.875	bilinear	-87.600	-73.850	-27
1357	resnet18.a2_in1k	288	3.307	96.693	22.253	77.747	11.69	1.000	bicubic	-86.273	-74.697	+13
1358	dla34.in1k	224	3.240	96.760	23.667	76.333	15.74	0.875	bilinear	-87.520	-73.993	-23
1359	efficientvit_b0.r224_in1k	224	3.227	96.773	19.427	80.573	3.41	0.950	bicubic	-84.753	-76.653	+36
1360	tinynet_c.in1k	184	3.213	96.787	21.360	78.640	2.46	0.875	bicubic	-84.577	-75.010	+37
1361	resnet34.bt_in1k	224	3.200	96.800	23.480	76.520	21.80	0.950	bicubic	-87.880	-74.070	-41
1362	mobilenetv2_110d.ra_in1k	224	3.133	96.867	24.787	75.213	4.52	0.875	bicubic	-87.867	-72.623	-38
1363	mnasnet_100.rmsp_in1k	224	3.133	96.867	24.307	75.693	4.38	0.875	bicubic	-87.517	-73.203	-23
1364	regnety_004.pycls_in1k	224	3.080	96.920	22.573	77.427	4.34	0.875	bicubic	-87.430	-74.977	-18
1365	tf_efficientnet_lite0.in1k	224	3.067	96.933	22.733	77.267	4.65	0.875	bicubic	-88.033	-74.807	-46
1366	mobileone_s1.apple_in1k	224	3.040	96.960	25.027	74.973	4.83	0.900	bilinear	-88.320	-72.813	-59
1367	skresnet18.ra_in1k	224	3.027	96.973	22.667	77.333	11.96	0.875	bicubic	-86.633	-74.563	-1
1368	repghostnet_080.in1k	224	3.027	96.973	22.627	77.373	3.28	0.875	bicubic	-85.943	-74.143	+11
1369	efficientvit_m1.r224_in1k	224	2.907	97.093	19.573	80.427	2.98	0.875	bicubic	-83.903	-76.427	+36
1370	tf_mobilenetv3_large_075.in1k	224	2.893	97.107	21.707	78.293	3.99	0.875	bilinear	-86.767	-75.513	-4
1371	tinynet_d.in1k	152	2.853	97.147	17.800	82.200	2.34	0.875	bicubic	-81.987	-77.420	+45
1372	vgg19_bn.tv_in1k	224	2.840	97.160	23.533	76.467	143.68	0.875	bilinear	-87.280	-74.047	-18
1373	regnetx_008.pycls_in1k	224	2.733	97.267	22.387	77.613	7.26	0.875	bicubic	-88.367	-75.323	-55
1374	hrnet_w18_small_v2.ms_in1k	224	2.720	97.280	23.693	76.307	15.60	0.875	bilinear	-88.490	-74.207	-63
1375	resnet14t.c3_in1k	224	2.720	97.280	19.827	80.173	10.08	0.950	bicubic	-86.280	-76.873	+3
1376	resnet18d.ra2_in1k	224	2.653	97.347	20.533	79.467	11.71	0.950	bicubic	-86.667	-76.617	-5
1377	lcnet_100.ra2_in1k	224	2.653	97.347	20.467	79.533	2.95	0.875	bicubic	-86.107	-76.243	+9
1378	resnet34.gluon_in1k	224	2.640	97.360	21.653	78.347	21.80	0.875	bicubic	-88.340	-75.977	-52
1379	repvgg_b0.rvgg_in1k	224	2.587	97.413	23.893	76.107	15.82	0.875	bilinear	-88.823	-74.087	-75
1380	hrnet_w18_small.gluon_in1k	224	2.587	97.413	20.640	79.360	13.19	0.875	bicubic	-86.883	-76.380	-8
1381	vgg16.tv_in1k	224	2.573	97.427	19.960	80.040	138.36	0.875	bilinear	-85.977	-76.830	+6
1382	vgg16_bn.tv_in1k	224	2.560	97.440	23.587	76.413	138.37	0.875	bilinear	-87.530	-73.823	-26
1383	resnet18.a1_in1k	224	2.533	97.467	18.160	81.840	11.69	1.000	bicubic	-85.597	-78.440	+11
1384	legacy_seresnet18.in1k	224	2.480	97.520	19.880	80.120	11.78	0.875	bicubic	-86.420	-77.070	-3
1385	densenet121.tv_in1k	224	2.467	97.533	22.533	77.467	7.98	0.875	bicubic	-88.433	-75.197	-55
1386	regnetx_006.pycls_in1k	224	2.467	97.533	20.640	79.360	6.20	0.875	bicubic	-87.863	-76.790	-39
1387	resnet26.bt_in1k	224	2.440	97.560	21.933	78.067	16.00	0.950	bicubic	-88.580	-75.797	-65
1388	lcnet_075.ra2_in1k	224	2.280	97.720	17.133	82.867	2.36	0.875	bicubic	-83.760	-78.547	+24
1389	efficientvit_m0.r224_in1k	224	2.267	97.733	16.453	83.547	2.35	0.875	bicubic	-80.143	-77.977	+36
1390	repghostnet_058.in1k	224	2.253	97.747	18.440	81.560	2.55	0.875	bicubic	-84.257	-77.460	+16
1391	resnet34.a3_in1k	160	2.253	97.747	18.280	81.720	21.80	0.950	bicubic	-85.647	-78.190	+6
1392	resnet18.a3_in1k	224	2.253	97.747	17.507	82.493	11.69	0.950	bicubic	-84.177	-78.393	+16
1393	test_vit.r160_in1k	160	2.240	97.760	12.680	87.320	0.37	0.875	bicubic	-60.220	-71.860	+39
1394	mobilenetv3_small_075.lamb_in1k	224	2.227	97.773	15.733	84.267	2.04	0.875	bicubic	-80.883	-78.427	+30
1395	mobilenetv2_100.ra_in1k	224	2.173	97.827	19.733	80.267	3.50	0.875	bicubic	-87.457	-77.407	-26
1396	test_efficientnet.r160_in1k	160	2.173	97.827	11.200	88.800	0.36	0.875	bicubic	-64.937	-74.900	+34
1397	resnet18.a2_in1k	224	2.160	97.840	16.987	83.013	11.69	1.000	bicubic	-85.430	-79.473	+1
1398	repvgg_a1.rvgg_in1k	224	2.147	97.853	21.227	78.773	14.09	0.875	bilinear	-88.443	-76.413	-54
1399	tf_mobilenetv3_small_100.in1k	224	2.147	97.853	16.813	83.187	2.54	0.875	bilinear	-83.073	-78.967	+15
1400	regnety_002.pycls_in1k	224	2.133	97.867	18.627	81.373	3.16	0.875	bicubic	-85.227	-77.973	+1
1401	vgg19.tv_in1k	224	2.107	97.893	20.480	79.520	143.67	0.875	bilinear	-86.953	-76.420	-27
1402	mobileone_s0.apple_in1k	224	2.107	97.893	17.360	82.640	5.29	0.875	bilinear	-86.213	-79.070	-11
1403	vgg13_bn.tv_in1k	224	2.093	97.907	20.333	79.667	133.05	0.875	bilinear	-86.687	-76.637	-20
1404	test_byobnet.r160_in1k	160	2.053	97.947	11.547	88.453	0.46	0.875	bicubic	-63.817	-74.723	+27
1405	regnetx_004.pycls_in1k	224	1.987	98.013	19.053	80.947	5.16	0.875	bicubic	-86.943	-78.037	-26
1406	tf_mobilenetv3_small_075.in1k	224	1.987	98.013	14.867	85.133	2.04	0.875	bilinear	-81.513	-79.993	+18
1407	resnet14t.c3_in1k	176	1.973	98.027	16.587	83.413	10.08	0.950	bicubic	-86.217	-80.013	-14
1408	mobilenetv3_small_100.lamb_in1k	224	1.933	98.067	16.893	83.107	2.54	0.875	bicubic	-83.257	-78.737	+5
1409	tinynet_e.in1k	106	1.933	98.067	13.987	86.013	2.04	0.875	bicubic	-77.057	-78.573	+20
1410	repghostnet_050.in1k	224	1.920	98.080	16.347	83.653	2.31	0.875	bicubic	-83.120	-78.873	+5
1411	vgg13.tv_in1k	224	1.853	98.147	17.947	82.053	133.05	0.875	bilinear	-85.167	-78.363	-7
1412	resnet34.tv_in1k	224	1.840	98.160	19.813	80.187	21.80	0.875	bilinear	-88.090	-77.527	-53
1413	lcnet_050.ra2_in1k	224	1.787	98.213	13.813	86.187	1.88	0.875	bicubic	-79.933	-79.917	+13
1414	mobilenetv3_small_050.lamb_in1k	224	1.773	98.227	12.547	87.453	1.59	0.875	bicubic	-75.207	-78.763	+15
1415	mnasnet_small.lamb_in1k	224	1.760	98.240	15.027	84.973	2.03	0.875	bicubic	-82.610	-80.143	+2
1416	vgg11_bn.tv_in1k	224	1.733	98.267	18.107	81.893	132.87	0.875	bilinear	-85.767	-78.703	-17
1417	dla46x_c.in1k	224	1.707	98.293	16.373	83.627	1.07	0.875	bilinear	-82.643	-78.867	+1
1418	tf_mobilenetv3_large_minimal_100.in1k	224	1.653	98.347	17.347	82.653	3.92	0.875	bilinear	-87.287	-79.533	-39
1419	resnet10t.c3_in1k	224	1.640	98.360	15.907	84.093	5.44	0.950	bicubic	-84.610	-79.853	-10
1420	mobilenetv2_050.lamb_in1k	224	1.640	98.360	14.053	85.947	1.97	0.875	bicubic	-82.310	-80.537	+2
1421	vgg11.tv_in1k	224	1.613	98.387	15.907	84.093	132.86	0.875	bilinear	-84.967	-80.403	-15
1422	resnet18.gluon_in1k	224	1.600	98.400	16.787	83.213	11.69	0.875	bicubic	-86.770	-79.913	-33
1423	dla60x_c.in1k	224	1.587	98.413	17.773	82.227	1.32	0.875	bilinear	-84.743	-78.317	-14
1424	resnet10t.c3_in1k	176	1.547	98.453	13.787	86.213	5.44	0.950	bicubic	-82.713	-81.063	-4
1425	hrnet_w18_small.ms_in1k	224	1.533	98.467	18.147	81.853	13.19	0.875	bilinear	-87.507	-78.963	-49
1426	repvgg_a0.rvgg_in1k	224	1.493	98.507	17.453	82.547	9.11	0.875	bilinear	-87.757	-79.757	-52
1427	dla46_c.in1k	224	1.493	98.507	15.120	84.880	1.30	0.875	bilinear	-82.137	-79.800	-5
1428	resnet18.a3_in1k	160	1.387	98.613	13.707	86.293	11.69	0.950	bicubic	-82.883	-80.923	-9
1429	regnetx_002.pycls_in1k	224	1.293	98.707	14.920	85.080	2.68	0.875	bicubic	-84.907	-81.050	-18
1430	tf_mobilenetv3_small_minimal_100.in1k	224	1.133	98.867	11.413	88.587	2.04	0.875	bilinear	-80.187	-82.287	-3
1431	resnet18.tv_in1k	224	1.120	98.880	16.200	83.800	11.69	0.875	bilinear	-86.260	-80.060	-31
1432	resnet50.tv_in1k	224	0.040	99.960	14.360	85.640	25.56	0.875	bilinear	-91.850	-83.690	-146