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	-10.527	-2.870	-1
4	eva_giant_patch14_560.m30m_ft_in22k_in1k	560	87.320	12.680	96.800	3.200	1,014.45	1.000	bicubic	-11.500	-3.100	+1
5	eva02_large_patch14_448.mim_m38m_ft_in1k	448	87.040	12.960	96.360	3.640	305.08	1.000	bicubic	-11.690	-3.430	+4
6	eva02_large_patch14_448.mim_in22k_ft_in1k	448	86.227	13.773	95.880	4.120	305.08	1.000	bicubic	-12.623	-3.960	-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	-4.233	0
8	eva_giant_patch14_336.m30m_ft_in22k_in1k	336	85.013	14.987	96.253	3.747	1,013.01	1.000	bicubic	-13.797	-3.567	-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	83.760	16.240	96.133	3.867	644.81	1.000	bicubic	-14.690	-3.747	+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	tf_efficientnet_l2.ns_jft_in1k_475	475	83.373	16.627	95.467	4.533	480.31	0.936	bicubic	-15.127	-4.353	+9
13	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
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	-4.323	-6
17	maxvit_large_tf_512.in21k_ft_in1k	512	81.693	18.307	94.987	5.013	212.33	1.000	bicubic	-16.917	-4.803	-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	80.933	19.067	94.440	5.560	475.32	1.000	bicubic	-17.567	-5.400	+3
21	beit_large_patch16_384.in22k_ft_in22k_in1k	384	80.173	19.827	94.733	5.267	305.00	1.000	bicubic	-18.327	-5.047	+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	+7
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	-6.607	+5
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	-5.607	+1
30	maxvit_base_tf_384.in21k_ft_in1k	384	76.707	23.293	92.387	7.613	119.65	1.000	bicubic	-21.813	-7.363	-10
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	75.400	24.600	91.627	8.373	304.14	1.000	bicubic	-23.030	-8.143	+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	74.547	25.453	91.627	8.373	644.81	0.965	bicubic	-23.113	-7.973	+93
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	-7.350	+22
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	-7.513	-4
37	regnety_320.swag_ft_in1k	384	73.987	26.013	92.867	7.133	145.05	1.000	bicubic	-24.073	-6.993	+30
38	caformer_m36.sail_in22k_ft_in1k_384	384	73.920	26.080	91.347	8.653	56.20	1.000	bicubic	-24.230	-8.403	+21
39	convformer_b36.sail_in22k_ft_in1k_384	384	73.653	26.347	91.640	8.360	99.88	1.000	bicubic	-24.607	-8.130	+3
40	eva_large_patch14_196.in22k_ft_in1k	196	73.040	26.960	91.347	8.653	304.14	1.000	bicubic	-25.320	-8.433	-4
41	vit_large_patch14_clip_224.openai_ft_in12k_in1k	224	72.173	27.827	90.813	9.187	304.20	1.000	bicubic	-26.057	-8.907	+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	-7.940	+18
43	vit_large_patch14_clip_224.openai_ft_in1k	224	71.827	28.173	91.360	8.640	304.20	1.000	bicubic	-26.333	-8.370	+15
44	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	336	71.427	28.573	89.827	10.173	304.53	1.000	bicubic	-26.903	-9.933	-6
45	deit3_base_patch16_384.fb_in22k_ft_in1k	384	71.293	28.707	89.880	10.120	86.88	1.000	bicubic	-26.547	-9.780	+52
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	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	384	71.187	28.813	89.760	10.240	73.88	1.000	bicubic	-26.883	-9.930	+19
48	vit_large_patch16_384.augreg_in21k_ft_in1k	384	71.067	28.933	89.640	10.360	304.72	1.000	bicubic	-27.183	-10.160	-2
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	70.893	29.107	90.547	9.453	632.05	1.000	bicubic	-27.397	-9.233	-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	+21
52	caformer_s36.sail_in22k_ft_in1k_384	384	70.747	29.253	90.427	9.573	39.30	1.000	bicubic	-27.253	-9.293	+22
53	vit_mediumd_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	384	70.627	29.373	90.613	9.387	64.27	1.000	bicubic	-27.533	-9.057	+3
54	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	-19
55	deit3_huge_patch14_224.fb_in22k_ft_in1k	224	70.187	29.813	90.800	9.200	632.13	1.000	bicubic	-27.983	-8.950	0
56	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	-9.390	-13
57	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	-17
58	volo_d5_512.sail_in1k	512	69.453	30.547	90.560	9.440	296.09	1.150	bicubic	-28.337	-9.110	+52
59	caformer_b36.sail_in22k_ft_in1k	224	69.453	30.547	90.213	9.787	98.75	1.000	bicubic	-28.717	-9.557	-7
60	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
61	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	-12
62	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
63	convformer_m36.sail_in22k_ft_in1k_384	384	68.547	31.453	89.160	10.840	57.05	1.000	bicubic	-29.473	-10.530	+8
64	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
65	regnety_160.swag_ft_in1k	384	68.093	31.907	90.680	9.320	83.59	1.000	bicubic	-29.697	-9.080	+43
66	maxvit_base_tf_512.in1k	512	68.093	31.907	88.547	11.453	119.88	1.000	bicubic	-29.707	-11.063	+43
67	volo_d5_448.sail_in1k	448	68.000	32.000	89.773	10.227	295.91	1.150	bicubic	-29.750	-9.857	+52
68	maxvit_large_tf_512.in1k	512	67.667	32.333	87.693	12.307	212.33	1.000	bicubic	-30.163	-12.007	+35
69	beitv2_large_patch16_224.in1k_ft_in1k	224	67.627	32.373	88.733	11.267	304.43	0.950	bicubic	-30.293	-10.947	+15
70	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	-25
71	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	256	67.373	32.627	88.507	11.493	196.74	0.900	bicubic	-30.467	-11.173	+28
72	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	-28
73	tf_efficientnet_b7.ns_jft_in1k	600	67.160	32.840	88.507	11.493	66.35	0.949	bicubic	-30.730	-11.213	+17
74	tf_efficientnetv2_xl.in21k_ft_in1k	512	67.147	32.853	87.160	12.840	208.12	1.000	bicubic	-30.753	-12.410	+15
75	vit_large_patch14_clip_336.laion2b_ft_in1k	336	67.067	32.933	88.920	11.080	304.53	1.000	bicubic	-31.163	-10.800	-27
76	beit_base_patch16_384.in22k_ft_in22k_in1k	384	66.987	33.013	89.093	10.907	86.74	1.000	bicubic	-30.843	-10.577	+25
77	convnextv2_large.fcmae_ft_in22k_in1k	288	66.880	33.120	88.880	11.120	197.96	1.000	bicubic	-31.230	-10.900	-14
78	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	224	66.840	33.160	88.160	11.840	304.20	1.000	bicubic	-31.240	-11.600	-13
79	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
80	volo_d4_448.sail_in1k	448	66.293	33.707	88.987	11.013	193.41	1.150	bicubic	-31.387	-10.733	+45
81	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	-2
82	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	320	66.013	33.987	87.813	12.187	93.59	1.000	bicubic	-31.947	-11.887	-6
83	convnextv2_large.fcmae_ft_in22k_in1k	224	65.933	34.067	87.280	12.720	197.96	0.875	bicubic	-31.997	-12.490	-2
84	convnextv2_base.fcmae_ft_in22k_in1k_384	384	65.813	34.187	87.840	12.160	88.72	1.000	bicubic	-32.547	-11.990	-47
85	vit_huge_patch14_clip_224.laion2b_ft_in1k	224	65.667	34.333	87.840	12.160	632.05	1.000	bicubic	-32.363	-11.890	-15
86	regnety_320.swag_lc_in1k	224	65.547	34.453	87.987	12.013	145.05	0.965	bicubic	-31.613	-11.553	+152
87	volo_d3_448.sail_in1k	448	65.520	34.480	87.373	12.627	86.63	1.000	bicubic	-32.030	-12.287	+63
88	nextvit_large.bd_ssld_6m_in1k_384	384	65.373	34.627	88.587	11.413	57.87	1.000	bicubic	-32.567	-11.203	-8
89	vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	384	65.360	34.640	88.333	11.667	60.60	1.000	bicubic	-32.410	-11.267	+26
90	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	-11.173	+2
91	efficientvit_l3.r384_in1k	384	64.813	35.187	87.053	12.947	246.04	1.000	bicubic	-32.777	-12.567	+55
92	convnextv2_huge.fcmae_ft_in1k	288	64.533	35.467	87.253	12.747	660.29	1.000	bicubic	-33.367	-12.377	-5
93	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	288	64.520	35.480	87.080	12.920	93.59	0.950	bicubic	-33.430	-12.540	-16
94	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	224	64.520	35.480	85.867	14.133	116.14	0.950	bicubic	-33.260	-13.793	+19
95	tf_efficientnetv2_l.in21k_ft_in1k	480	64.507	35.493	87.653	12.347	118.52	1.000	bicubic	-33.323	-12.107	+5
96	convnext_xlarge.fb_in22k_ft_in1k	224	63.787	36.213	87.387	12.613	350.20	0.875	bicubic	-34.133	-12.273	-13
97	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	+27
98	maxvit_large_tf_384.in1k	384	63.400	36.600	85.187	14.813	212.03	1.000	bicubic	-34.190	-14.333	+49
99	convformer_b36.sail_in22k_ft_in1k	224	63.373	36.627	86.480	13.520	99.88	1.000	bicubic	-34.577	-13.250	-22
100	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	-36
101	convformer_s36.sail_in22k_ft_in1k_384	384	63.027	36.973	86.773	13.227	40.01	1.000	bicubic	-34.823	-12.917	-6
102	vit_base_patch16_384.augreg_in21k_ft_in1k	384	63.027	36.973	86.080	13.920	86.86	1.000	bicubic	-34.803	-13.480	+1
103	maxvit_small_tf_512.in1k	512	62.840	37.160	86.467	13.533	69.13	1.000	bicubic	-34.920	-13.083	+13
104	nextvit_base.bd_ssld_6m_in1k_384	384	62.813	37.187	87.960	12.040	44.82	1.000	bicubic	-35.057	-11.750	-13
105	maxvit_base_tf_384.in1k	384	62.467	37.533	85.133	14.867	119.65	1.000	bicubic	-35.123	-14.537	+40
106	vit_base_patch8_224.augreg2_in21k_ft_in1k	224	62.240	37.760	85.893	14.107	86.58	0.900	bicubic	-35.500	-13.747	+14
107	caformer_b36.sail_in1k_384	384	62.093	37.907	84.480	15.520	98.75	1.000	bicubic	-35.417	-15.100	+49
108	cait_m48_448.fb_dist_in1k	448	62.080	37.920	86.480	13.520	356.46	1.000	bicubic	-35.410	-13.140	+54
109	convnextv2_base.fcmae_ft_in22k_in1k	288	62.067	37.933	87.053	12.947	88.72	1.000	bicubic	-35.993	-12.697	-41
110	tf_efficientnet_b6.ns_jft_in1k	528	61.880	38.120	85.027	14.973	43.04	0.942	bicubic	-35.740	-14.573	+27
111	convnextv2_huge.fcmae_ft_in1k	224	61.867	38.133	84.680	15.320	660.29	0.875	bicubic	-35.783	-14.890	+19
112	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	+11
113	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	-13.090	+18
114	convnext_base.fb_in22k_ft_in1k	288	61.240	38.760	86.467	13.533	88.59	1.000	bicubic	-36.610	-13.173	-20
115	vit_large_r50_s32_384.augreg_in21k_ft_in1k	384	61.187	38.813	83.787	16.213	329.09	1.000	bicubic	-36.663	-15.883	-20
116	seresnextaa101d_32x8d.sw_in12k_ft_in1k	288	61.147	38.853	85.840	14.160	93.59	1.000	bicubic	-36.783	-13.840	-34
117	caformer_m36.sail_in22k_ft_in1k	224	60.973	39.027	84.960	15.040	56.20	1.000	bicubic	-36.867	-14.710	-19
118	vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	256	60.867	39.133	85.240	14.760	64.11	0.950	bicubic	-36.843	-14.370	+3
119	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	256	60.733	39.267	86.693	13.307	200.13	1.000	bicubic	-37.247	-13.007	-44
120	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
121	regnety_160.swag_lc_in1k	224	60.520	39.480	85.880	14.120	83.59	0.965	bicubic	-36.310	-13.520	+190
122	convnextv2_base.fcmae_ft_in22k_in1k	224	60.520	39.480	85.053	14.947	88.72	0.875	bicubic	-37.390	-14.637	-36
123	convnext_small.in12k_ft_in1k_384	384	60.507	39.493	84.813	15.187	50.22	1.000	bicubic	-37.293	-14.877	-16
124	convnext_large.fb_in22k_ft_in1k	224	60.480	39.520	85.147	14.853	197.77	0.875	bicubic	-37.370	-14.533	-31
125	caformer_m36.sail_in1k_384	384	60.347	39.653	84.813	15.187	56.20	1.000	bicubic	-37.103	-14.727	+43
126	deit3_large_patch16_384.fb_in1k	384	60.227	39.773	85.547	14.453	304.76	1.000	bicubic	-37.213	-14.043	+46
127	coatnet_2_rw_224.sw_in12k_ft_in1k	224	60.160	39.840	84.613	15.387	73.87	0.950	bicubic	-37.370	-14.987	+27
128	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	-42
129	tf_efficientnet_b5.ns_jft_in1k	456	59.933	40.067	84.280	15.720	30.39	0.934	bicubic	-37.567	-15.330	+29
130	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	+25
131	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	-14.727	-14
132	efficientvit_l3.r320_in1k	320	59.853	40.147	84.907	15.093	246.04	1.000	bicubic	-37.557	-14.483	+45
133	vit_base_patch16_clip_384.openai_ft_in12k_in1k	384	59.627	40.373	84.200	15.800	86.86	0.950	bicubic	-38.563	-15.460	-83
134	resnetv2_152x4_bit.goog_in21k_ft_in1k	480	59.560	40.440	83.173	16.827	936.53	1.000	bilinear	-37.920	-16.387	+29
135	tf_efficientnetv2_m.in21k_ft_in1k	480	59.120	40.880	84.493	15.507	54.14	1.000	bicubic	-38.690	-15.197	-30
136	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	384	58.853	41.147	85.787	14.213	88.59	1.000	bicubic	-39.197	-13.963	-67
137	maxvit_tiny_tf_512.in1k	512	58.667	41.333	84.627	15.373	31.05	1.000	bicubic	-38.913	-14.933	+11
138	vit_base_patch8_224.augreg_in21k_ft_in1k	224	58.467	41.533	82.680	17.320	86.58	0.900	bicubic	-39.123	-16.900	+5
139	volo_d2_384.sail_in1k	384	58.427	41.573	84.280	15.720	58.87	1.000	bicubic	-38.893	-15.310	+59
140	caformer_s18.sail_in22k_ft_in1k_384	384	58.413	41.587	85.440	14.560	26.34	1.000	bicubic	-39.027	-14.020	+33
141	tf_efficientnetv2_xl.in21k_ft_in1k	384	58.187	41.813	80.853	19.147	208.12	1.000	bicubic	-39.203	-18.527	+43
142	nextvit_small.bd_ssld_6m_in1k_384	384	58.067	41.933	85.360	14.640	31.76	1.000	bicubic	-39.703	-14.350	-28
143	vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	58.027	41.973	83.200	16.800	64.11	0.950	bicubic	-39.603	-16.420	-9
144	hiera_large_224.mae_in1k_ft_in1k	224	58.000	42.000	81.680	18.320	213.74	0.900	bicubic	-39.440	-17.950	+30
145	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	224	57.907	42.093	80.653	19.347	468.53	0.875	bilinear	-39.473	-18.917	+40
146	tiny_vit_21m_512.dist_in22k_ft_in1k	512	57.787	42.213	83.147	16.853	21.27	1.000	bicubic	-40.113	-16.543	-58
147	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	384	57.773	42.227	81.867	18.133	86.86	1.000	bicubic	-40.237	-17.793	-74
148	efficientvit_l2.r384_in1k	384	57.747	42.253	83.747	16.253	63.71	1.000	bicubic	-39.653	-15.763	+34
149	seresnextaa101d_32x8d.sw_in12k_ft_in1k	224	57.680	42.320	82.867	17.133	93.59	0.875	bicubic	-39.970	-16.753	-20
150	cait_m36_384.fb_dist_in1k	384	57.667	42.333	84.680	15.320	271.22	1.000	bicubic	-39.733	-14.740	+29
151	hgnetv2_b6.ssld_stage2_ft_in1k	288	57.547	42.453	84.173	15.827	75.26	1.000	bicubic	-40.253	-15.477	-45
152	tiny_vit_21m_384.dist_in22k_ft_in1k	384	57.480	42.520	83.107	16.893	21.23	1.000	bicubic	-40.130	-16.483	-12
153	tf_efficientnetv2_l.in21k_ft_in1k	384	57.387	42.613	82.293	17.707	118.52	1.000	bicubic	-40.073	-17.347	+13
154	dm_nfnet_f5.dm_in1k	544	57.320	42.680	82.040	17.960	377.21	0.954	bicubic	-40.460	-17.600	-41
155	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
156	deit3_base_patch16_224.fb_in22k_ft_in1k	224	57.147	42.853	83.507	16.493	86.59	1.000	bicubic	-40.343	-16.093	+5
157	deit3_small_patch16_384.fb_in22k_ft_in1k	384	57.133	42.867	83.013	16.987	22.21	1.000	bicubic	-39.997	-16.427	+85
158	caformer_s36.sail_in1k_384	384	57.107	42.893	82.600	17.400	39.30	1.000	bicubic	-40.293	-16.900	+20
159	hgnetv2_b6.ssld_stage1_in22k_in1k	288	57.093	42.907	84.240	15.760	75.26	1.000	bicubic	-40.717	-15.370	-55
160	convnextv2_large.fcmae_ft_in1k	288	57.080	42.920	83.587	16.413	197.96	1.000	bicubic	-40.580	-16.053	-32
161	volo_d5_224.sail_in1k	224	56.827	43.173	82.760	17.240	295.46	0.960	bicubic	-40.553	-16.920	+26
162	dm_nfnet_f6.dm_in1k	576	56.747	43.253	81.520	18.480	438.36	0.956	bicubic	-41.033	-18.070	-51
163	rdnet_large.nv_in1k_ft_in1k_384	384	56.720	43.280	82.987	17.013	186.27	1.000	bicubic	-40.950	-16.563	-37
164	maxvit_small_tf_384.in1k	384	56.720	43.280	82.280	17.720	69.02	1.000	bicubic	-40.680	-17.190	+16
165	regnety_160.lion_in12k_ft_in1k	288	56.693	43.307	83.907	16.093	83.59	1.000	bicubic	-40.757	-15.693	+4
166	xcit_medium_24_p8_384.fb_dist_in1k	384	56.693	43.307	83.600	16.400	84.32	1.000	bicubic	-40.607	-15.910	+37
167	convformer_m36.sail_in22k_ft_in1k	224	56.253	43.747	82.227	17.773	57.05	1.000	bicubic	-41.337	-17.293	-23
168	dm_nfnet_f4.dm_in1k	512	56.240	43.760	81.307	18.693	316.07	0.951	bicubic	-41.390	-18.233	-33
169	regnety_160.sw_in12k_ft_in1k	288	56.187	43.813	82.800	17.200	83.59	1.000	bicubic	-41.313	-16.840	-9
170	efficientvit_l3.r256_in1k	256	56.147	43.853	81.360	18.640	246.04	1.000	bicubic	-40.883	-17.870	+99
171	caformer_s36.sail_in22k_ft_in1k	224	55.547	44.453	81.880	18.120	39.30	1.000	bicubic	-42.063	-17.720	-33
172	convformer_b36.sail_in1k_384	384	55.467	44.533	81.253	18.747	99.88	1.000	bicubic	-42.073	-18.257	-21
173	vit_large_patch16_224.augreg_in21k_ft_in1k	224	55.293	44.707	79.680	20.320	304.33	0.900	bicubic	-42.347	-19.910	-41
174	convnext_base.fb_in22k_ft_in1k	224	54.787	45.213	82.573	17.427	88.59	0.875	bicubic	-42.713	-17.027	-15
175	convnextv2_large.fcmae_ft_in1k	224	54.680	45.320	81.160	18.840	197.96	0.875	bicubic	-42.670	-18.370	+15
176	vit_base_patch16_clip_384.openai_ft_in1k	384	54.453	45.547	82.320	17.680	86.86	1.000	bicubic	-43.097	-17.230	-27
177	xcit_small_24_p8_384.fb_dist_in1k	384	54.387	45.613	81.707	18.293	47.63	1.000	bicubic	-42.893	-17.853	+26
178	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	-18.617	+54
179	cait_s36_384.fb_dist_in1k	384	54.213	45.787	81.253	18.747	68.37	1.000	bicubic	-43.137	-18.297	+12
180	deit3_huge_patch14_224.fb_in1k	224	54.147	45.853	81.827	18.173	632.13	0.900	bicubic	-42.743	-17.613	+122
181	volo_d1_384.sail_in1k	384	53.907	46.093	80.880	19.120	26.78	1.000	bicubic	-43.023	-18.500	+112
182	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	384	53.840	46.160	81.520	18.480	39.03	0.950	bicubic	-43.610	-18.080	-15
183	beitv2_base_patch16_224.in1k_ft_in1k	224	53.640	46.360	81.827	18.173	86.53	0.900	bicubic	-43.530	-17.693	+53
184	convformer_m36.sail_in1k_384	384	53.613	46.387	80.867	19.133	57.05	1.000	bicubic	-43.787	-18.673	-3
185	dm_nfnet_f3.dm_in1k	416	53.560	46.440	79.293	20.707	254.92	0.940	bicubic	-43.920	-20.347	-21
186	vit_base_patch16_clip_384.laion2b_ft_in1k	384	53.373	46.627	80.413	19.587	86.86	1.000	bicubic	-44.377	-19.207	-68
187	deit3_base_patch16_384.fb_in1k	384	53.293	46.707	80.507	19.493	86.88	1.000	bicubic	-43.717	-19.003	+87
188	convnext_small.fb_in22k_ft_in1k_384	384	53.160	46.840	81.467	18.533	50.22	1.000	bicubic	-44.460	-18.123	-52
189	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	224	53.013	46.987	76.893	23.107	194.03	0.875	bilinear	-43.907	-22.697	+107
190	convnext_small.in12k_ft_in1k	288	52.987	47.013	81.307	18.693	50.22	1.000	bicubic	-44.353	-18.273	+4
191	volo_d4_224.sail_in1k	224	52.867	47.133	80.547	19.453	192.96	0.960	bicubic	-44.433	-18.983	+10
192	xcit_large_24_p16_384.fb_dist_in1k	384	52.827	47.173	81.733	18.267	189.10	1.000	bicubic	-44.713	-17.787	-39
193	resnetv2_152x2_bit.goog_in21k_ft_in1k	448	52.800	47.200	81.133	18.867	236.34	1.000	bilinear	-44.220	-18.457	+77
194	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	256	52.507	47.493	82.760	17.240	88.59	1.000	bicubic	-45.093	-16.960	-52
195	resnetv2_101x3_bit.goog_in21k_ft_in1k	448	52.467	47.533	79.827	20.173	387.93	1.000	bilinear	-44.543	-19.483	+78
196	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	448	52.320	47.680	80.000	20.000	88.34	1.000	bicubic	-45.010	-19.480	0
197	maxvit_tiny_tf_384.in1k	384	52.040	47.960	79.893	20.107	30.98	1.000	bicubic	-45.270	-19.567	+2
198	vit_betwixt_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	256	52.000	48.000	80.467	19.533	60.40	0.950	bicubic	-45.230	-19.063	+21
199	dm_nfnet_f5.dm_in1k	416	51.987	48.013	77.493	22.507	377.21	0.954	bicubic	-45.483	-22.027	-34
200	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	-19.017	+6
201	regnety_120.sw_in12k_ft_in1k	288	51.800	48.200	80.653	19.347	51.82	1.000	bicubic	-45.470	-18.867	+10
202	efficientvit_l3.r224_in1k	224	51.720	48.280	79.080	20.920	246.04	1.000	bicubic	-45.290	-20.160	+74
203	convnext_small.fb_in22k_ft_in1k	288	51.547	48.453	81.333	18.667	50.22	1.000	bicubic	-45.803	-18.197	-11
204	dm_nfnet_f6.dm_in1k	448	51.533	48.467	76.533	23.467	438.36	0.956	bicubic	-46.177	-23.107	-82
205	hgnetv2_b6.ssld_stage1_in22k_in1k	224	51.387	48.613	79.920	20.080	75.26	0.965	bicubic	-46.223	-19.690	-66
206	efficientvit_l2.r288_in1k	288	51.347	48.653	79.973	20.027	63.71	1.000	bicubic	-45.713	-19.417	+58
207	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	224	51.280	48.720	78.200	21.800	88.79	0.875	bilinear	-45.940	-21.380	+15
208	eva02_small_patch14_336.mim_in22k_ft_in1k	336	51.093	48.907	78.987	21.013	22.13	1.000	bicubic	-46.057	-20.463	+32
209	tf_efficientnet_b4.ns_jft_in1k	380	51.013	48.987	79.053	20.947	19.34	0.922	bicubic	-45.957	-20.357	+76
210	efficientnet_b5.sw_in12k_ft_in1k	448	50.987	49.013	78.667	21.333	30.39	1.000	bicubic	-46.403	-20.883	-27
211	hgnetv2_b6.ssld_stage2_ft_in1k	224	50.920	49.080	79.280	20.720	75.26	0.965	bicubic	-46.530	-20.360	-42
212	tf_efficientnetv2_m.in21k_ft_in1k	384	50.907	49.093	78.467	21.533	54.14	1.000	bicubic	-46.303	-21.033	+16
213	flexivit_large.1200ep_in1k	240	50.840	49.160	80.547	19.453	304.36	0.950	bicubic	-46.580	-19.053	-37
214	beit_base_patch16_224.in22k_ft_in22k_in1k	224	50.747	49.253	79.893	20.107	86.53	0.900	bicubic	-46.313	-19.477	+48
215	mvitv2_large.fb_in1k	224	50.640	49.360	78.067	21.933	217.99	0.900	bicubic	-46.300	-21.323	+74
216	xcit_small_12_p8_384.fb_dist_in1k	384	50.627	49.373	79.800	20.200	26.21	1.000	bicubic	-46.603	-19.790	+5
217	dm_nfnet_f4.dm_in1k	384	50.307	49.693	76.053	23.947	316.07	0.951	bicubic	-47.043	-23.427	-24
218	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	-22.040	-66
219	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	224	50.240	49.760	78.200	21.800	86.57	0.950	bicubic	-47.210	-21.400	-48
220	convformer_s18.sail_in22k_ft_in1k_384	384	50.160	49.840	81.053	18.947	26.77	1.000	bicubic	-47.120	-18.467	-15
221	convnext_tiny.in12k_ft_in1k_384	384	50.120	49.880	79.733	20.267	28.59	1.000	bicubic	-47.210	-19.747	-26
222	tf_efficientnetv2_l.in1k	480	50.120	49.880	77.520	22.480	118.52	1.000	bicubic	-47.390	-22.030	-65
223	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	384	50.093	49.907	77.640	22.360	236.34	1.000	bicubic	-46.737	-21.890	+91
224	convformer_s36.sail_in1k_384	384	50.080	49.920	78.920	21.080	40.01	1.000	bicubic	-47.200	-20.670	-17
225	vit_base_patch16_384.orig_in21k_ft_in1k	384	50.080	49.920	77.587	22.413	86.86	1.000	bicubic	-46.630	-21.863	+119
226	volo_d3_224.sail_in1k	224	50.000	50.000	78.320	21.680	86.33	0.960	bicubic	-47.110	-21.080	+24
227	flexivit_large.600ep_in1k	240	49.973	50.027	79.960	20.040	304.36	0.950	bicubic	-47.307	-19.640	-23
228	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	544	49.853	50.147	78.560	21.440	32.59	1.000	bicubic	-47.317	-21.020	+6
229	vit_base_patch16_224.augreg2_in21k_ft_in1k	224	49.733	50.267	78.733	21.267	86.57	0.900	bicubic	-47.427	-20.937	+10
230	vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	49.680	50.320	78.493	21.507	60.40	0.950	bicubic	-47.650	-21.107	-33
231	nextvit_large.bd_ssld_6m_in1k	224	49.547	50.453	80.813	19.187	57.87	0.950	bicubic	-47.833	-18.857	-45
232	inception_next_base.sail_in1k_384	384	49.493	50.507	78.560	21.440	86.67	1.000	bicubic	-47.777	-21.100	-20
233	regnety_160.lion_in12k_ft_in1k	224	49.453	50.547	78.467	21.533	83.59	0.950	bicubic	-47.797	-21.073	-19
234	cait_s24_384.fb_dist_in1k	384	49.427	50.573	78.653	21.347	47.06	1.000	bicubic	-47.643	-20.767	+27
235	nextvit_large.bd_in1k_384	384	49.320	50.680	78.413	21.587	57.87	1.000	bicubic	-47.690	-20.947	+37
236	xcit_medium_24_p16_384.fb_dist_in1k	384	49.253	50.747	79.747	20.253	84.40	1.000	bicubic	-48.057	-19.753	-36
237	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	+54
238	regnety_160.sw_in12k_ft_in1k	224	49.107	50.893	77.813	22.187	83.59	0.950	bicubic	-48.113	-21.777	-15
239	deit_base_distilled_patch16_384.fb_in1k	384	49.027	50.973	78.960	21.040	87.63	1.000	bicubic	-47.973	-20.570	+40
240	caformer_s18.sail_in1k_384	384	48.907	51.093	78.720	21.280	26.34	1.000	bicubic	-48.163	-20.700	+20
241	coat_lite_medium_384.in1k	384	48.840	51.160	78.520	21.480	44.57	1.000	bicubic	-48.310	-20.950	0
242	convnext_base.clip_laion2b_augreg_ft_in1k	256	48.693	51.307	79.933	20.067	88.59	1.000	bicubic	-48.577	-19.727	-32
243	caformer_b36.sail_in1k	224	48.627	51.373	75.707	24.293	98.75	1.000	bicubic	-48.373	-23.813	+37
244	convnextv2_base.fcmae_ft_in1k	288	48.613	51.387	78.880	21.120	88.72	1.000	bicubic	-48.627	-20.660	-28
245	efficientvit_l2.r256_in1k	256	48.587	51.413	77.907	22.093	63.71	1.000	bicubic	-48.263	-21.393	+64
246	deit3_large_patch16_224.fb_in1k	224	48.573	51.427	78.027	21.973	304.37	0.900	bicubic	-48.407	-21.243	+37
247	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	384	48.493	51.507	77.400	22.600	88.30	1.000	bicubic	-48.877	-22.120	-58
248	flexivit_large.300ep_in1k	240	48.453	51.547	78.627	21.373	304.36	0.950	bicubic	-48.797	-20.863	-33
249	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	+32
250	tf_efficientnetv2_s.in21k_ft_in1k	384	48.067	51.933	77.653	22.347	21.46	1.000	bicubic	-48.683	-21.637	+79
251	tf_efficientnet_b8.ra_in1k	672	48.013	51.987	76.467	23.533	87.41	0.954	bicubic	-49.197	-23.073	-24
252	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	+12
253	convnext_small.in12k_ft_in1k	224	47.907	52.093	77.253	22.747	50.22	0.950	bicubic	-49.303	-22.247	-28
254	regnety_2560.seer_ft_in1k	384	47.787	52.213	76.333	23.667	1,282.60	1.000	bicubic	-49.453	-23.217	-36
255	hiera_small_abswin_256.sbb2_e200_in12k_ft_in1k	256	47.667	52.333	76.840	23.160	34.36	0.950	bicubic	-49.513	-22.720	-22
256	resnest269e.in1k	416	47.640	52.360	74.080	25.920	110.93	0.928	bicubic	-48.880	-25.250	+144
257	convnext_tiny.in12k_ft_in1k	288	47.533	52.467	78.973	21.027	28.59	1.000	bicubic	-49.567	-20.547	-5
258	vit_base_patch16_clip_224.openai_ft_in1k	224	47.453	52.547	78.147	21.853	86.57	0.900	bicubic	-49.637	-21.313	-4
259	regnetz_e8.ra3_in1k	320	47.347	52.653	75.760	24.240	57.70	1.000	bicubic	-49.863	-23.840	-33
260	convformer_s36.sail_in22k_ft_in1k	224	47.307	52.693	77.307	22.693	40.01	1.000	bicubic	-49.773	-22.243	-2
261	nextvit_base.bd_ssld_6m_in1k	224	47.280	52.720	78.560	21.440	44.82	0.950	bicubic	-49.990	-21.000	-52
262	xcit_large_24_p8_224.fb_in1k	224	46.867	53.133	74.400	25.600	188.93	1.000	bicubic	-49.533	-24.750	+170
263	xcit_small_24_p16_384.fb_dist_in1k	384	46.773	53.227	76.987	23.013	47.67	1.000	bicubic	-50.357	-22.513	-20
264	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	-33
265	convnext_large.fb_in1k	288	46.667	53.333	76.733	23.267	197.77	1.000	bicubic	-50.423	-22.717	-9
266	tf_efficientnet_b8.ap_in1k	672	46.493	53.507	76.187	23.813	87.41	0.954	bicubic	-50.627	-23.423	-22
267	hgnet_base.ssld_in1k	288	46.480	53.520	76.213	23.787	71.58	1.000	bicubic	-50.950	-23.407	-92
268	nextvit_base.bd_in1k_384	384	46.400	53.600	76.800	23.200	44.82	1.000	bicubic	-50.510	-22.600	+30
269	resnetv2_50x3_bit.goog_in21k_ft_in1k	448	46.347	53.653	76.640	23.360	217.32	1.000	bilinear	-50.383	-22.700	+66
270	efficientnetv2_rw_m.agc_in1k	416	46.333	53.667	75.733	24.267	53.24	1.000	bicubic	-50.667	-23.617	+7
271	vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	46.133	53.867	77.000	23.000	38.88	0.950	bicubic	-51.037	-22.390	-34
272	dm_nfnet_f2.dm_in1k	352	46.120	53.880	74.613	25.387	193.78	0.920	bicubic	-50.990	-24.847	-24
273	hgnetv2_b5.ssld_stage2_ft_in1k	288	45.947	54.053	77.773	22.227	39.57	1.000	bicubic	-51.423	-21.897	-85
274	volo_d2_224.sail_in1k	224	45.893	54.107	75.147	24.853	58.68	0.960	bicubic	-51.097	-24.243	+8
275	swinv2_base_window16_256.ms_in1k	256	45.893	54.107	75.107	24.893	87.92	0.900	bicubic	-50.877	-24.233	+51
276	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	224	45.867	54.133	72.093	27.907	194.03	0.875	bilinear	-50.733	-27.407	+100
277	caformer_m36.sail_in1k	224	45.773	54.227	74.533	25.467	56.20	1.000	bicubic	-51.117	-24.937	+27
278	ecaresnet269d.ra2_in1k	352	45.747	54.253	74.947	25.053	102.09	1.000	bicubic	-51.343	-24.533	-23
279	convnextv2_base.fcmae_ft_in1k	224	45.733	54.267	75.960	24.040	88.72	0.875	bicubic	-51.167	-23.460	+22
280	dm_nfnet_f3.dm_in1k	320	45.440	54.560	72.360	27.640	254.92	0.940	bicubic	-51.750	-27.180	-50
281	swin_base_patch4_window12_384.ms_in1k	384	45.413	54.587	74.613	25.387	87.90	1.000	bicubic	-51.167	-24.707	+104
282	vit_small_patch16_384.augreg_in21k_ft_in1k	384	45.360	54.640	76.160	23.840	22.20	1.000	bicubic	-51.340	-23.080	+66
283	tf_efficientnet_b7.ap_in1k	600	45.267	54.733	74.027	25.973	66.35	0.949	bicubic	-51.943	-25.443	-58
284	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	+186
285	xcit_medium_24_p8_224.fb_dist_in1k	224	45.227	54.773	76.760	23.240	84.32	1.000	bicubic	-51.703	-22.490	+9
286	vit_small_r26_s32_384.augreg_in21k_ft_in1k	384	45.227	54.773	75.467	24.533	36.47	1.000	bicubic	-51.453	-23.903	+70
287	convnext_small.fb_in22k_ft_in1k	224	45.147	54.853	77.493	22.507	50.22	0.875	bicubic	-51.823	-22.087	-1
288	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	-25.370	+75
289	convnextv2_tiny.fcmae_ft_in22k_in1k_384	384	45.120	54.880	76.587	23.413	28.64	1.000	bicubic	-52.120	-22.923	-72
290	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	448	44.880	55.120	74.573	25.427	32.59	0.950	bicubic	-52.130	-24.927	-15
291	eca_nfnet_l2.ra3_in1k	384	44.760	55.240	75.680	24.320	56.72	1.000	bicubic	-52.320	-23.930	-32
292	hiera_small_abswin_256.sbb2_pd_e200_in12k_ft_in1k	256	44.720	55.280	74.467	25.533	34.36	0.950	bicubic	-51.980	-24.883	+59
293	maxxvit_rmlp_small_rw_256.sw_in1k	256	44.493	55.507	75.133	24.867	66.01	0.950	bicubic	-52.297	-24.197	+29
294	regnety_120.sw_in12k_ft_in1k	224	44.467	55.533	74.653	25.347	51.82	0.950	bicubic	-52.703	-24.807	-59
295	ecaresnet269d.ra2_in1k	320	44.347	55.653	73.947	26.053	102.09	0.950	bicubic	-52.763	-25.553	-44
296	tiny_vit_21m_224.dist_in22k_ft_in1k	224	44.307	55.693	74.947	25.053	21.20	0.950	bicubic	-52.893	-24.543	-67
297	tf_efficientnetv2_l.in1k	384	44.067	55.933	72.027	27.973	118.52	1.000	bicubic	-53.203	-27.473	-84
298	rexnetr_300.sw_in12k_ft_in1k	288	44.053	55.947	76.693	23.307	34.81	1.000	bicubic	-52.797	-22.827	+10
299	resnest200e.in1k	320	43.987	56.013	73.400	26.600	70.20	0.909	bicubic	-52.623	-25.900	+73
300	crossvit_18_dagger_408.in1k	408	43.840	56.160	73.613	26.387	44.61	1.000	bicubic	-52.690	-25.647	+98
301	cait_xs24_384.fb_dist_in1k	384	43.640	56.360	74.840	25.160	26.67	1.000	bicubic	-52.930	-24.400	+87
302	seresnextaa101d_32x8d.ah_in1k	288	43.613	56.387	73.093	26.907	93.59	1.000	bicubic	-53.327	-26.247	-12
303	resnetrs200.tf_in1k	320	43.493	56.507	72.533	27.467	93.21	1.000	bicubic	-53.227	-26.827	+40
304	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	-23.013	+89
305	caformer_s18.sail_in22k_ft_in1k	224	43.333	56.667	74.920	25.080	26.34	1.000	bicubic	-53.377	-24.560	+39
306	hiera_base_224.mae_in1k_ft_in1k	224	43.333	56.667	73.160	26.840	51.52	0.900	bicubic	-53.257	-26.000	+77
307	hgnetv2_b5.ssld_stage1_in22k_in1k	288	43.293	56.707	75.267	24.733	39.57	1.000	bicubic	-53.977	-24.273	-100
308	mvitv2_base.fb_in1k	224	43.293	56.707	73.920	26.080	51.47	0.900	bicubic	-53.477	-25.330	+20
309	xcit_small_12_p16_384.fb_dist_in1k	384	43.227	56.773	74.000	26.000	26.25	1.000	bicubic	-53.723	-25.400	-21
310	tresnet_xl.miil_in1k_448	448	43.213	56.787	72.147	27.853	78.44	0.875	bilinear	-52.757	-26.973	+268
311	vit_base_patch16_224.augreg_in21k_ft_in1k	224	43.120	56.880	72.573	27.427	86.57	0.900	bicubic	-53.760	-26.817	-6
312	regnetz_e8.ra3_in1k	256	43.093	56.907	72.200	27.800	57.70	0.940	bicubic	-53.597	-27.170	+40
313	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	+217
314	rdnet_large.nv_in1k	224	42.787	57.213	73.613	26.387	186.27	0.900	bicubic	-54.123	-25.847	-15
315	edgenext_base.in21k_ft_in1k	320	42.773	57.227	75.427	24.573	18.51	1.000	bicubic	-53.967	-23.993	+19
316	hrnet_w48_ssld.paddle_in1k	288	42.693	57.307	72.067	27.933	77.47	1.000	bilinear	-54.347	-27.303	-50
317	efficientvit_l2.r224_in1k	224	42.653	57.347	74.320	25.680	63.71	1.000	bicubic	-54.187	-24.930	-6
318	vit_base_patch32_clip_384.openai_ft_in12k_in1k	384	42.573	57.427	72.640	27.360	88.30	0.950	bicubic	-54.527	-26.880	-65
319	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	+80
320	nextvit_small.bd_ssld_6m_in1k	224	42.533	57.467	75.467	24.533	31.76	0.950	bicubic	-54.427	-24.013	-33
321	gcvit_base.in1k	224	42.520	57.480	73.440	26.560	90.32	0.875	bicubic	-54.040	-25.790	+70
322	resnetrs420.tf_in1k	416	42.427	57.573	70.160	29.840	191.89	1.000	bicubic	-54.483	-29.070	-25
323	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	256	42.413	57.587	74.240	25.760	38.86	0.950	bicubic	-54.257	-24.920	+37
324	tf_efficientnetv2_m.in1k	480	42.400	57.600	72.213	27.787	54.14	1.000	bicubic	-54.830	-27.257	-104
325	maxvit_large_tf_224.in1k	224	42.360	57.640	69.213	30.787	211.79	0.950	bicubic	-54.660	-30.027	-54
326	dm_nfnet_f1.dm_in1k	320	42.293	57.707	71.293	28.707	132.63	0.910	bicubic	-54.767	-28.317	-63
327	xcit_tiny_24_p8_384.fb_dist_in1k	384	42.267	57.733	72.773	27.227	12.11	1.000	bicubic	-54.313	-26.467	+56
328	swinv2_small_window16_256.ms_in1k	256	42.267	57.733	72.747	27.253	49.73	0.900	bicubic	-54.203	-26.653	+84
329	tf_efficientnet_b7.ra_in1k	600	42.253	57.747	72.547	27.453	66.35	0.949	bicubic	-54.747	-26.943	-51
330	maxvit_rmlp_small_rw_224.sw_in1k	224	42.200	57.800	72.373	27.627	64.90	0.900	bicubic	-54.360	-26.757	+62
331	convformer_s18.sail_in1k_384	384	42.187	57.813	74.013	25.987	26.77	1.000	bicubic	-54.853	-25.627	-64
332	maxvit_base_tf_224.in1k	224	42.027	57.973	70.053	29.947	119.47	0.950	bicubic	-54.953	-29.277	-48
333	convnext_tiny.fb_in22k_ft_in1k_384	384	42.013	57.987	73.533	26.467	28.59	1.000	bicubic	-55.097	-25.977	-84
334	vit_base_patch16_clip_224.laion2b_ft_in1k	224	41.960	58.040	73.987	26.013	86.57	1.000	bicubic	-55.160	-25.673	-87
335	convnext_base.fb_in1k	288	41.907	58.093	73.840	26.160	88.59	1.000	bicubic	-54.913	-25.580	-19
336	eca_nfnet_l2.ra3_in1k	320	41.907	58.093	72.933	27.067	56.72	0.900	bicubic	-54.683	-26.477	+45
337	crossvit_15_dagger_408.in1k	408	41.787	58.213	71.947	28.053	28.50	1.000	bicubic	-54.633	-27.303	+90
338	nextvit_small.bd_in1k_384	384	41.747	58.253	72.747	27.253	31.76	1.000	bicubic	-55.073	-26.623	-20
339	convnextv2_tiny.fcmae_ft_in22k_in1k	288	41.733	58.267	75.133	24.867	28.64	1.000	bicubic	-55.107	-24.317	-29
340	xcit_small_24_p8_224.fb_in1k	224	41.653	58.347	70.867	29.133	47.63	1.000	bicubic	-54.777	-28.303	+84
341	vit_large_r50_s32_224.augreg_in21k_ft_in1k	224	41.613	58.387	70.280	29.720	328.99	0.900	bicubic	-55.177	-29.090	-18
342	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	224	41.600	58.400	71.853	28.147	44.18	0.875	bilinear	-54.840	-27.277	+76
343	xcit_small_24_p8_224.fb_dist_in1k	224	41.533	58.467	73.667	26.333	47.63	1.000	bicubic	-55.357	-25.813	-40
344	resnetaa101d.sw_in12k_ft_in1k	288	41.533	58.467	72.507	27.493	44.57	1.000	bicubic	-55.137	-26.993	+17
345	vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k	256	41.427	58.573	71.627	28.373	63.95	0.950	bicubic	-55.193	-27.653	+26
346	convnext_large.fb_in1k	224	41.213	58.787	73.280	26.720	197.77	0.875	bicubic	-55.537	-26.090	-15
347	swinv2_base_window8_256.ms_in1k	256	41.160	58.840	72.560	27.440	87.92	0.900	bicubic	-55.390	-26.850	+47
348	deit3_small_patch16_224.fb_in22k_ft_in1k	224	41.080	58.920	72.000	28.000	22.06	1.000	bicubic	-55.590	-27.360	+13
349	caformer_s36.sail_in1k	224	41.080	58.920	70.920	29.080	39.30	1.000	bicubic	-55.650	-28.620	-12
350	seresnext101d_32x8d.ah_in1k	288	40.933	59.067	70.720	29.280	93.59	1.000	bicubic	-55.797	-28.580	-13
351	davit_base.msft_in1k	224	40.787	59.213	72.587	27.413	87.95	0.950	bicubic	-56.143	-26.933	-56
352	maxvit_rmlp_tiny_rw_256.sw_in1k	256	40.733	59.267	70.880	29.120	29.15	0.950	bicubic	-55.687	-28.280	+73
353	hgnet_base.ssld_in1k	224	40.693	59.307	70.667	29.333	71.58	0.965	bicubic	-56.387	-28.843	-96
354	regnety_1280.seer_ft_in1k	384	40.667	59.333	70.587	29.413	644.81	1.000	bicubic	-56.213	-28.943	-48
355	flexivit_base.1200ep_in1k	240	40.587	59.413	72.187	27.813	86.59	0.950	bicubic	-56.173	-27.173	-27
356	tf_efficientnet_b6.ap_in1k	528	40.373	59.627	71.387	28.613	43.04	0.942	bicubic	-56.747	-28.073	-110
357	resmlp_big_24_224.fb_in22k_ft_in1k	224	40.333	59.667	74.560	25.440	129.14	0.875	bicubic	-56.267	-24.980	+20
358	convformer_b36.sail_in1k	224	40.280	59.720	69.107	30.893	99.88	1.000	bicubic	-56.630	-30.293	-58
359	deit3_small_patch16_384.fb_in1k	384	40.227	59.773	70.000	30.000	22.21	1.000	bicubic	-55.993	-29.210	+134
360	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	384	40.133	59.867	72.453	27.547	32.59	0.950	bicubic	-56.737	-26.907	-53
361	tresnet_l.miil_in1k_448	448	40.133	59.867	69.720	30.280	55.99	0.875	bilinear	-55.757	-29.400	+233
362	hgnetv2_b5.ssld_stage2_ft_in1k	224	39.907	60.093	72.320	27.680	39.57	0.965	bicubic	-57.213	-27.280	-117
363	deit_base_patch16_384.fb_in1k	384	39.880	60.120	70.373	29.627	86.86	1.000	bicubic	-56.290	-28.827	+151
364	flexivit_base.600ep_in1k	240	39.800	60.200	71.680	28.320	86.59	0.950	bicubic	-56.850	-27.650	0
365	convnextv2_tiny.fcmae_ft_in22k_in1k	224	39.720	60.280	72.587	27.413	28.64	0.875	bicubic	-56.750	-26.623	+43
366	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	+13
367	regnetz_040_h.ra3_in1k	320	39.707	60.293	70.960	29.040	28.94	1.000	bicubic	-57.013	-28.540	-26
368	vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	256	39.693	60.307	71.133	28.867	22.52	0.950	bicubic	-56.647	-28.127	+90
369	swin_s3_base_224.ms_in1k	224	39.627	60.373	70.613	29.387	71.13	0.900	bicubic	-56.643	-28.727	+107
370	vit_base_patch16_rope_reg1_gap_256.sbb_in1k	256	39.613	60.387	70.467	29.533	86.43	0.950	bicubic	-56.827	-29.013	+50
371	mobilenetv4_hybrid_large.e600_r384_in1k	448	39.600	60.400	72.880	27.120	37.76	1.000	bicubic	-57.100	-26.600	-22
372	regnetz_d8.ra3_in1k	320	39.480	60.520	71.227	28.773	23.37	1.000	bicubic	-57.150	-28.193	-5
373	resnetrs350.tf_in1k	384	39.400	60.600	68.293	31.707	163.96	1.000	bicubic	-57.370	-31.037	-48
374	flexivit_base.300ep_in1k	240	39.320	60.680	70.733	29.267	86.59	0.950	bicubic	-57.290	-28.607	+1
375	gcvit_small.in1k	224	39.253	60.747	70.520	29.480	51.09	0.875	bicubic	-57.017	-28.640	+102
376	seresnext101_32x8d.ah_in1k	288	39.040	60.960	68.987	31.013	93.57	1.000	bicubic	-57.740	-30.363	-52
377	deit3_base_patch16_224.fb_in1k	224	38.920	61.080	70.747	29.253	86.59	0.900	bicubic	-57.370	-28.443	+95
378	mobilenetv4_conv_aa_large.e600_r384_in1k	480	38.893	61.107	70.707	29.293	32.59	1.000	bicubic	-57.567	-28.593	+36
379	regnetz_d8_evos.ch_in1k	320	38.840	61.160	71.333	28.667	23.46	1.000	bicubic	-57.730	-28.127	+8
380	vit_large_patch32_384.orig_in21k_ft_in1k	384	38.840	61.160	68.627	31.373	306.63	1.000	bicubic	-57.000	-30.533	+227
381	volo_d1_224.sail_in1k	224	38.693	61.307	70.120	29.880	26.63	0.960	bicubic	-57.627	-29.120	+84
382	mvitv2_small.fb_in1k	224	38.560	61.440	69.960	30.040	34.87	0.900	bicubic	-57.790	-29.430	+71
383	coat_lite_medium.in1k	224	38.440	61.560	71.093	28.907	44.57	0.900	bicubic	-58.030	-28.267	+29
384	efficientnetv2_rw_m.agc_in1k	320	38.427	61.573	70.133	29.867	53.24	1.000	bicubic	-58.163	-29.177	-5
385	regnetz_040.ra3_in1k	320	38.427	61.573	70.067	29.933	27.12	1.000	bicubic	-58.283	-29.443	-38
386	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	+146
387	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	-57
388	davit_small.msft_in1k	224	38.107	61.893	70.613	29.387	49.75	0.950	bicubic	-58.533	-28.747	-23
389	convnext_tiny.in12k_ft_in1k	224	38.080	61.920	71.840	28.160	28.59	0.950	bicubic	-58.660	-27.620	-56
390	rdnet_base.nv_in1k	224	38.013	61.987	70.000	30.000	87.45	0.900	bicubic	-58.677	-29.240	-36
391	convformer_m36.sail_in1k	224	37.920	62.080	66.933	33.067	57.05	1.000	bicubic	-58.770	-32.417	-36
392	resnet200d.ra2_in1k	320	37.893	62.107	68.333	31.667	64.69	1.000	bicubic	-58.837	-31.037	-54
393	tf_efficientnet_b7.aa_in1k	600	37.760	62.240	69.427	30.573	66.35	0.949	bicubic	-58.780	-29.883	+4
394	focalnet_base_srf.ms_in1k	224	37.747	62.253	69.707	30.293	88.15	0.900	bicubic	-58.843	-29.723	-11
395	maxvit_small_tf_224.in1k	224	37.693	62.307	68.373	31.627	68.93	0.950	bicubic	-58.997	-30.697	-43
396	swinv2_small_window8_256.ms_in1k	256	37.667	62.333	69.960	30.040	49.73	0.900	bicubic	-58.653	-29.340	+72
397	vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k	256	37.627	62.373	68.867	31.133	60.23	0.950	bicubic	-58.733	-30.513	+48
398	tf_efficientnetv2_s.in21k_ft_in1k	300	37.613	62.387	69.667	30.333	21.46	1.000	bicubic	-58.707	-29.663	+69
399	fastvit_ma36.apple_dist_in1k	256	37.533	62.467	70.973	29.027	44.07	0.950	bicubic	-59.267	-28.357	-79
400	focalnet_base_lrf.ms_in1k	224	37.533	62.467	68.600	31.400	88.75	0.900	bicubic	-58.947	-30.530	+8
401	hgnetv2_b5.ssld_stage1_in22k_in1k	224	37.480	62.520	69.827	30.173	39.57	0.965	bicubic	-59.550	-29.743	-134
402	seresnet152d.ra2_in1k	320	37.480	62.520	69.080	30.920	66.84	1.000	bicubic	-59.320	-30.330	-82
403	efficientvit_b3.r288_in1k	288	37.347	62.653	69.653	30.347	48.65	1.000	bicubic	-59.283	-29.807	-35
404	twins_svt_large.in1k	224	37.347	62.653	69.227	30.773	99.27	0.900	bicubic	-58.913	-29.943	+75
405	xcit_large_24_p16_224.fb_dist_in1k	224	37.307	62.693	71.440	28.560	189.10	1.000	bicubic	-59.513	-27.860	-89
406	xcit_small_12_p8_224.fb_in1k	224	37.307	62.693	68.133	31.867	26.21	1.000	bicubic	-58.803	-31.137	+126
407	swin_s3_small_224.ms_in1k	224	37.053	62.947	68.147	31.853	49.74	0.900	bicubic	-59.187	-31.193	+81
408	eca_nfnet_l1.ra2_in1k	320	37.027	62.973	70.573	29.427	41.41	1.000	bicubic	-59.723	-28.727	-76
409	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	-30.497	+17
410	regnetz_d32.ra3_in1k	320	36.813	63.187	70.080	29.920	27.58	0.950	bicubic	-59.787	-29.210	-32
411	convnext_small.fb_in1k	288	36.787	63.213	70.947	29.053	50.22	1.000	bicubic	-59.773	-28.393	-21
412	seresnextaa101d_32x8d.ah_in1k	224	36.760	63.240	66.347	33.653	93.59	0.950	bicubic	-59.570	-32.883	+48
413	pvt_v2_b4.in1k	224	36.747	63.253	68.680	31.320	62.56	0.900	bicubic	-59.633	-30.500	+26
414	convnext_base.fb_in1k	224	36.693	63.307	69.947	30.053	88.59	0.875	bicubic	-59.737	-29.443	+8
415	pit_b_distilled_224.in1k	224	36.640	63.360	67.840	32.160	74.79	0.900	bicubic	-59.610	-31.290	+67
416	regnety_064.ra3_in1k	288	36.640	63.360	67.560	32.440	30.58	1.000	bicubic	-59.720	-31.770	+29
417	convnext_tiny.fb_in22k_ft_in1k	224	36.600	63.400	69.987	30.013	28.59	0.875	bicubic	-59.640	-29.183	+67
418	efficientnetv2_rw_s.ra2_in1k	384	36.587	63.413	68.040	31.960	23.94	1.000	bicubic	-59.953	-31.320	-22
419	vit_betwixt_patch16_reg4_gap_256.sbb_in1k	256	36.560	63.440	68.040	31.960	60.40	0.950	bicubic	-59.530	-30.830	+121
420	vit_base_patch32_384.augreg_in21k_ft_in1k	384	36.520	63.480	69.147	30.853	88.30	1.000	bicubic	-59.980	-30.263	-17
421	regnety_160.deit_in1k	288	36.480	63.520	68.813	31.187	83.59	1.000	bicubic	-59.880	-30.357	+21
422	fastvit_sa36.apple_dist_in1k	256	36.413	63.587	69.573	30.427	31.53	0.900	bicubic	-59.937	-29.647	+28
423	hiera_small_224.mae_in1k_ft_in1k	224	36.413	63.587	68.000	32.000	35.01	0.900	bicubic	-59.917	-31.170	+40
424	resnext101_64x4d.c1_in1k	288	36.347	63.653	65.960	34.040	83.46	1.000	bicubic	-59.783	-33.270	+103
425	mobilenetv4_hybrid_large.ix_e600_r384_in1k	384	36.333	63.667	69.040	30.960	37.76	0.950	bicubic	-60.127	-30.160	-9
426	hgnet_small.ssld_in1k	288	36.307	63.693	70.800	29.200	24.36	1.000	bicubic	-60.623	-28.760	-134
427	rexnetr_300.sw_in12k_ft_in1k	224	36.293	63.707	69.880	30.120	34.81	0.950	bicubic	-60.347	-29.490	-61
428	pvt_v2_b5.in1k	224	36.280	63.720	68.400	31.600	81.96	0.900	bicubic	-60.070	-30.940	+28
429	cait_xxs36_384.fb_dist_in1k	384	36.093	63.907	67.413	32.587	17.37	1.000	bicubic	-59.777	-31.727	+174
430	efficientvit_l1.r224_in1k	224	35.960	64.040	68.000	32.000	52.65	1.000	bicubic	-60.370	-31.050	+33
431	nest_base_jx.goog_in1k	224	35.947	64.053	66.600	33.400	67.72	0.875	bicubic	-60.303	-32.630	+51
432	swin_base_patch4_window7_224.ms_in1k	224	35.773	64.227	68.213	31.787	87.77	0.900	bicubic	-60.317	-30.937	+109
433	regnety_640.seer_ft_in1k	384	35.760	64.240	68.000	32.000	281.38	1.000	bicubic	-61.070	-31.660	-118
434	repvgg_d2se.rvgg_in1k	320	35.720	64.280	66.667	33.333	133.33	1.000	bilinear	-60.960	-32.623	-77
435	maxvit_tiny_rw_224.sw_in1k	224	35.720	64.280	65.747	34.253	29.06	0.950	bicubic	-60.520	-33.323	+52
436	coatnet_1_rw_224.sw_in1k	224	35.693	64.307	66.987	33.013	41.72	0.950	bicubic	-60.337	-32.173	+122
437	tf_efficientnet_b3.ns_jft_in1k	300	35.680	64.320	67.787	32.213	12.23	0.904	bicubic	-60.700	-31.603	+1
438	mobilenetv4_hybrid_large.e600_r384_in1k	384	35.667	64.333	69.440	30.560	37.76	0.950	bicubic	-60.763	-29.790	-15
439	edgenext_base.in21k_ft_in1k	256	35.640	64.360	69.440	30.560	18.51	0.950	bicubic	-60.720	-29.780	+2
440	vit_betwixt_patch16_reg1_gap_256.sbb_in1k	256	35.640	64.360	67.040	32.960	60.40	0.950	bicubic	-60.590	-32.380	+51
441	cs3se_edgenet_x.c2ns_in1k	320	35.547	64.453	67.640	32.360	50.72	1.000	bicubic	-60.893	-31.770	-22
442	resnetrs200.tf_in1k	256	35.440	64.560	64.827	35.173	93.21	1.000	bicubic	-60.760	-34.453	+61
443	hgnetv2_b4.ssld_stage2_ft_in1k	288	35.400	64.600	69.973	30.027	19.80	1.000	bicubic	-61.430	-29.477	-130
444	tf_efficientnetv2_m.in1k	384	35.240	64.760	65.453	34.547	54.14	1.000	bicubic	-61.560	-33.997	-124
445	resnetrs420.tf_in1k	320	35.160	64.840	63.627	36.373	191.89	1.000	bicubic	-61.450	-35.643	-71
446	sequencer2d_l.in1k	224	35.093	64.907	67.093	32.907	54.30	0.875	bicubic	-61.047	-32.157	+79
447	regnety_080.ra3_in1k	288	35.080	64.920	66.733	33.267	39.18	1.000	bicubic	-61.440	-32.637	-46
448	tf_efficientnet_b6.aa_in1k	528	34.987	65.013	67.360	32.640	43.04	0.942	bicubic	-61.693	-32.230	-90
449	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	448	34.947	65.053	69.187	30.813	11.07	1.000	bicubic	-61.373	-30.123	+15
450	gcvit_tiny.in1k	224	34.920	65.080	66.307	33.693	28.22	0.875	bicubic	-61.270	-32.693	+57
451	inception_next_base.sail_in1k	224	34.853	65.147	66.227	33.773	86.67	0.950	bicubic	-61.697	-32.863	-56
452	vit_medium_patch16_reg1_gap_256.sbb_in1k	256	34.573	65.427	67.653	32.347	38.88	0.950	bicubic	-61.777	-31.567	+1
453	dm_nfnet_f2.dm_in1k	256	34.573	65.427	63.920	36.080	193.78	0.920	bicubic	-62.157	-35.440	-113
454	fastvit_ma36.apple_in1k	256	34.533	65.467	67.120	32.880	44.07	0.950	bicubic	-61.957	-32.180	-50
455	resnetrs270.tf_in1k	352	34.520	65.480	65.120	34.880	129.86	1.000	bicubic	-62.180	-34.270	-105
456	tf_efficientnet_b5.ap_in1k	456	34.387	65.613	67.173	32.827	30.39	0.934	bicubic	-62.323	-32.307	-109
457	xcit_tiny_12_p8_384.fb_dist_in1k	384	34.347	65.653	66.320	33.680	6.71	1.000	bicubic	-61.703	-32.920	+93
458	mobilenetv4_conv_large.e600_r384_in1k	448	34.333	65.667	67.747	32.253	32.59	1.000	bicubic	-61.907	-31.373	+27
459	deit3_medium_patch16_224.fb_in1k	224	34.160	65.840	65.880	34.120	38.85	0.900	bicubic	-61.930	-33.430	+79
460	coat_small.in1k	224	34.147	65.853	66.013	33.987	21.69	0.900	bicubic	-61.773	-33.147	+127
461	vit_base_patch16_224_miil.in21k_ft_in1k	224	34.120	65.880	64.547	35.453	86.54	0.875	bilinear	-62.350	-34.613	-51
462	vit_medium_patch16_reg4_gap_256.sbb_in1k	256	34.040	65.960	67.280	32.720	38.88	0.950	bicubic	-62.350	-32.050	-26
463	xcit_medium_24_p16_224.fb_dist_in1k	224	34.000	66.000	67.640	32.360	84.40	1.000	bicubic	-62.620	-31.580	-94
464	seresnext101d_32x8d.ah_in1k	224	34.000	66.000	64.320	35.680	93.59	0.950	bicubic	-62.460	-34.870	-48
465	resnet152d.ra2_in1k	320	33.813	66.187	65.427	34.573	60.21	1.000	bicubic	-62.567	-33.923	-28
466	resmlp_big_24_224.fb_distilled_in1k	224	33.787	66.213	69.360	30.640	129.14	0.875	bicubic	-62.673	-29.960	-55
467	regnetv_064.ra3_in1k	288	33.787	66.213	67.667	32.333	30.58	1.000	bicubic	-62.663	-31.693	-49
468	tresnet_m.miil_in1k_448	448	33.787	66.213	64.320	35.680	31.39	0.875	bilinear	-61.193	-34.660	+353
469	coatnet_rmlp_1_rw_224.sw_in1k	224	33.653	66.347	65.280	34.720	41.69	0.950	bicubic	-62.297	-33.880	+112
470	caformer_s18.sail_in1k	224	33.613	66.387	65.200	34.800	26.34	1.000	bicubic	-62.577	-33.990	+39
471	pvt_v2_b3.in1k	224	33.587	66.413	67.427	32.573	45.24	0.900	bicubic	-62.413	-31.773	+92
472	xcit_tiny_24_p16_384.fb_dist_in1k	384	33.573	66.427	65.280	34.720	12.12	1.000	bicubic	-62.417	-34.030	+94
473	rdnet_small.nv_in1k	224	33.547	66.453	66.867	33.133	50.44	0.900	bicubic	-62.783	-32.333	-12
474	focalnet_small_srf.ms_in1k	224	33.547	66.453	65.853	34.147	49.89	0.900	bicubic	-62.543	-33.307	+65
475	convformer_s18.sail_in22k_ft_in1k	224	33.440	66.560	68.240	31.760	26.77	1.000	bicubic	-63.170	-31.110	-102
476	inception_next_small.sail_in1k	224	33.427	66.573	65.893	34.107	49.37	0.875	bicubic	-62.823	-33.327	+3
477	regnetz_d8.ra3_in1k	256	33.400	66.600	66.573	33.427	23.37	0.940	bicubic	-63.000	-32.677	-47
478	tiny_vit_11m_224.dist_in22k_ft_in1k	224	33.320	66.680	65.707	34.293	11.00	0.950	bicubic	-62.970	-33.483	-5
479	resnetrs350.tf_in1k	288	33.280	66.720	62.053	37.947	163.96	1.000	bicubic	-63.400	-37.317	-120
480	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	320	33.253	66.747	67.787	32.213	11.07	1.000	bicubic	-62.917	-31.363	+33
481	convformer_s36.sail_in1k	224	33.213	66.787	63.547	36.453	40.01	1.000	bicubic	-63.367	-35.613	-95
482	twins_pcpvt_large.in1k	224	33.107	66.893	67.960	32.040	60.99	0.900	bicubic	-63.053	-31.290	+36
483	twins_svt_base.in1k	224	33.107	66.893	65.587	34.413	56.07	0.900	bicubic	-63.073	-33.753	+28
484	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	+113
485	nextvit_large.bd_in1k	224	33.027	66.973	67.000	33.000	57.87	0.950	bicubic	-63.343	-32.340	-46
486	resnet152.a1h_in1k	288	33.027	66.973	63.160	36.840	60.19	1.000	bicubic	-63.193	-36.070	+11
487	hrnet_w48_ssld.paddle_in1k	224	33.013	66.987	63.493	36.507	77.47	0.950	bilinear	-63.377	-35.737	-54
488	fastvit_sa36.apple_in1k	256	33.000	67.000	65.960	34.040	31.53	0.900	bicubic	-63.240	-33.350	-2
489	focalnet_small_lrf.ms_in1k	224	32.947	67.053	67.160	32.840	50.34	0.900	bicubic	-63.243	-32.070	+19
490	tiny_vit_21m_224.in1k	224	32.880	67.120	66.933	33.067	21.20	0.950	bicubic	-63.320	-32.337	+15
491	regnetz_d8_evos.ch_in1k	256	32.867	67.133	65.387	34.613	23.46	0.950	bicubic	-63.403	-34.093	-16
492	regnety_320.seer_ft_in1k	384	32.787	67.213	66.013	33.987	145.05	1.000	bicubic	-63.563	-33.457	-42
493	pit_b_224.in1k	224	32.773	67.227	62.253	37.747	73.76	0.900	bicubic	-62.857	-36.417	+162
494	swinv2_cr_small_ns_224.sw_in1k	224	32.747	67.253	65.720	34.280	49.70	0.900	bicubic	-63.473	-33.520	+4
495	xcit_large_24_p16_224.fb_in1k	224	32.733	67.267	61.773	38.227	189.10	1.000	bicubic	-62.727	-37.247	+215
496	mobilevitv2_200.cvnets_in22k_ft_in1k_384	384	32.480	67.520	64.760	35.240	18.45	1.000	bicubic	-63.550	-34.340	+61
497	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	224	32.427	67.573	63.680	36.320	194.03	0.875	bilinear	-63.423	-35.490	+109
498	efficientvit_b3.r256_in1k	256	32.413	67.587	65.707	34.293	48.65	1.000	bicubic	-63.937	-33.493	-41
499	eca_nfnet_l1.ra2_in1k	256	32.413	67.587	65.293	34.707	41.41	0.900	bicubic	-63.837	-33.937	-18
500	ecaresnet101d.miil_in1k	288	32.400	67.600	65.813	34.187	44.57	0.950	bicubic	-63.820	-33.497	-8
501	swin_small_patch4_window7_224.ms_in1k	224	32.373	67.627	65.227	34.773	49.61	0.900	bicubic	-63.507	-33.883	+99
502	convnextv2_nano.fcmae_ft_in22k_in1k_384	384	32.320	67.680	66.253	33.747	15.62	1.000	bicubic	-64.030	-33.147	-55
503	resnetaa101d.sw_in12k_ft_in1k	224	32.307	67.693	65.173	34.827	44.57	0.950	bicubic	-64.033	-34.147	-44
504	nest_small_jx.goog_in1k	224	32.307	67.693	63.813	36.187	38.35	0.875	bicubic	-63.663	-35.227	+75
505	xception65.ra3_in1k	299	32.280	67.720	62.480	37.520	39.92	0.940	bicubic	-64.080	-36.760	-62
506	tf_efficientnetv2_b3.in21k_ft_in1k	300	32.093	67.907	65.773	34.227	14.36	0.900	bicubic	-64.127	-33.477	-11
507	mobilevitv2_175.cvnets_in22k_ft_in1k_384	384	32.093	67.907	64.187	35.813	14.25	1.000	bicubic	-64.107	-34.943	-3
508	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	224	32.027	67.973	63.573	36.427	236.34	0.875	bicubic	-64.063	-35.617	+28
509	convnextv2_tiny.fcmae_ft_in1k	288	31.973	68.027	67.120	32.880	28.64	1.000	bicubic	-64.237	-32.120	-9
510	regnetz_040_h.ra3_in1k	256	31.960	68.040	63.120	36.880	28.94	1.000	bicubic	-64.360	-36.080	-45
511	convnext_tiny_hnf.a2h_in1k	288	31.960	68.040	62.480	37.520	28.59	1.000	bicubic	-64.050	-36.600	+51
512	seresnext101_32x8d.ah_in1k	224	31.907	68.093	61.253	38.747	93.57	0.950	bicubic	-64.483	-37.957	-77
513	efficientvit_b3.r224_in1k	224	31.880	68.120	64.493	35.507	48.65	0.950	bicubic	-64.140	-34.657	+47
514	rexnetr_200.sw_in12k_ft_in1k	288	31.813	68.187	67.520	32.480	16.52	1.000	bicubic	-64.407	-31.610	-20
515	swinv2_tiny_window16_256.ms_in1k	256	31.787	68.213	65.587	34.413	28.35	0.900	bicubic	-64.193	-33.513	+60
516	resnext101_64x4d.tv_in1k	224	31.640	68.360	63.747	36.253	83.46	0.875	bilinear	-64.390	-35.343	+38
517	maxvit_nano_rw_256.sw_in1k	256	31.600	68.400	63.667	36.333	15.45	0.950	bicubic	-64.330	-35.333	+68
518	resnest101e.in1k	256	31.587	68.413	64.067	35.933	48.28	0.875	bilinear	-64.263	-35.143	+86
519	vit_base_patch16_224.orig_in21k_ft_in1k	224	31.587	68.413	61.147	38.853	86.57	0.900	bicubic	-63.753	-37.863	+222
520	regnetz_d32.ra3_in1k	256	31.507	68.493	65.013	34.987	27.58	0.950	bicubic	-64.693	-34.097	-18
521	hgnetv2_b4.ssld_stage1_in22k_in1k	288	31.480	68.520	66.840	33.160	19.80	1.000	bicubic	-65.240	-32.590	-181
522	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	384	31.440	68.560	65.733	34.267	11.07	0.950	bicubic	-64.610	-33.487	+25
523	convnext_small.fb_in1k	224	31.373	68.627	65.987	34.013	50.22	0.875	bicubic	-64.827	-33.143	-17
524	maxxvit_rmlp_nano_rw_256.sw_in1k	256	31.333	68.667	64.507	35.493	16.78	0.950	bicubic	-64.697	-34.753	+29
525	fastvit_sa24.apple_dist_in1k	256	31.320	68.680	64.760	35.240	21.55	0.900	bicubic	-64.840	-34.390	-9
526	convnext_nano.in12k_ft_in1k	288	31.293	68.707	67.333	32.667	15.59	1.000	bicubic	-64.697	-31.857	+39
527	regnety_320.tv2_in1k	224	31.267	68.733	64.493	35.507	145.05	0.965	bicubic	-64.823	-34.817	+10
528	mobilenetv4_conv_aa_large.e600_r384_in1k	384	31.253	68.747	65.267	34.733	32.59	0.950	bicubic	-64.897	-34.113	-7
529	nextvit_base.bd_in1k	224	31.253	68.747	65.173	34.827	44.82	0.950	bicubic	-64.997	-34.047	-48
530	cait_s24_224.fb_dist_in1k	224	31.187	68.813	64.253	35.747	46.92	1.000	bicubic	-65.213	-34.727	-99
531	tf_efficientnet_b5.ra_in1k	456	31.107	68.893	64.520	35.480	30.39	0.934	bicubic	-65.283	-34.890	-97
532	regnetz_c16_evos.ch_in1k	320	31.080	68.920	65.933	34.067	13.49	0.950	bicubic	-65.070	-33.157	-12
533	regnetv_040.ra3_in1k	288	31.027	68.973	64.107	35.893	20.64	1.000	bicubic	-65.203	-35.193	-44
534	crossvit_base_240.in1k	240	31.027	68.973	60.933	39.067	105.03	0.875	bicubic	-64.473	-37.887	+158
535	maxvit_rmlp_nano_rw_256.sw_in1k	256	31.000	69.000	63.093	36.907	15.50	0.950	bicubic	-65.000	-35.867	+29
536	seresnet152d.ra2_in1k	256	30.907	69.093	63.173	36.827	66.84	0.950	bicubic	-65.523	-35.957	-116
537	regnetz_040.ra3_in1k	256	30.907	69.093	62.627	37.373	27.12	1.000	bicubic	-65.573	-36.783	-131
538	maxvit_tiny_tf_224.in1k	224	30.880	69.120	62.933	37.067	30.92	0.950	bicubic	-65.260	-36.227	-14
539	swinv2_cr_small_224.sw_in1k	224	30.773	69.227	61.853	38.147	49.70	0.900	bicubic	-65.317	-37.187	+3
540	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	224	30.720	69.280	62.333	37.667	88.22	0.900	bicubic	-65.400	-36.867	-12
541	xcit_small_24_p16_224.fb_dist_in1k	224	30.600	69.400	64.533	35.467	47.67	1.000	bicubic	-65.620	-34.747	-44
542	efficientnet_b4.ra2_in1k	384	30.573	69.427	64.347	35.653	19.34	1.000	bicubic	-65.587	-34.863	-25
543	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
544	crossvit_18_240.in1k	240	30.427	69.573	61.547	38.453	43.27	0.875	bicubic	-65.063	-37.443	+155
545	sequencer2d_m.in1k	224	30.360	69.640	62.933	37.067	38.31	0.875	bicubic	-65.460	-36.177	+64
546	repvit_m2_3.dist_450e_in1k	224	30.333	69.667	63.653	36.347	23.69	0.950	bicubic	-66.017	-35.567	-98
547	maxxvitv2_nano_rw_256.sw_in1k	256	30.267	69.733	63.773	36.227	23.70	0.950	bicubic	-65.623	-35.337	+49
548	regnety_040.ra3_in1k	288	30.200	69.800	63.373	36.627	20.65	1.000	bicubic	-65.800	-35.817	+14
549	crossvit_18_dagger_240.in1k	240	30.200	69.800	61.613	38.387	44.27	0.875	bicubic	-65.420	-37.437	+107
550	hgnet_small.ssld_in1k	224	30.133	69.867	64.467	35.533	24.36	0.965	bicubic	-66.497	-34.753	-182
551	rexnet_300.nav_in1k	224	30.040	69.960	64.200	35.800	34.71	0.875	bicubic	-65.790	-34.930	+57
552	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	+132
553	dm_nfnet_f1.dm_in1k	224	30.000	70.000	57.947	42.053	132.63	0.910	bicubic	-66.350	-41.223	-101
554	mvitv2_tiny.fb_in1k	224	29.867	70.133	63.747	36.253	24.17	0.900	bicubic	-66.013	-35.503	+45
555	twins_pcpvt_base.in1k	224	29.840	70.160	64.587	35.413	43.83	0.900	bicubic	-65.950	-34.543	+63
556	convnext_tiny.fb_in1k	288	29.787	70.213	64.920	35.080	28.59	1.000	bicubic	-65.993	-34.230	+63
557	resnet50.fb_swsl_ig1b_ft_in1k	224	29.760	70.240	63.840	36.160	25.56	0.875	bilinear	-65.710	-35.170	+147
558	convnextv2_nano.fcmae_ft_in22k_in1k	288	29.733	70.267	65.653	34.347	15.62	1.000	bicubic	-66.317	-33.557	-10
559	cait_xxs24_384.fb_dist_in1k	384	29.720	70.280	63.733	36.267	12.03	1.000	bicubic	-65.540	-35.227	+200
560	tf_efficientnet_b5.aa_in1k	456	29.720	70.280	62.733	37.267	30.39	0.934	bicubic	-66.760	-36.497	-154
561	hgnetv2_b3.ssld_stage1_in22k_in1k	288	29.640	70.360	65.920	34.080	16.29	1.000	bicubic	-66.630	-33.230	-88
562	resnet200d.ra2_in1k	256	29.640	70.360	61.387	38.613	64.69	0.950	bicubic	-66.670	-37.863	-92
563	cs3sedarknet_x.c2ns_in1k	288	29.627	70.373	61.587	38.413	35.40	1.000	bicubic	-66.413	-37.523	-11
564	mobilevitv2_150.cvnets_in22k_ft_in1k_384	384	29.573	70.427	61.400	38.600	10.59	1.000	bicubic	-66.127	-37.590	+73
565	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	-32.597	+127
566	resnet152.a1_in1k	288	29.493	70.507	57.027	42.973	60.19	1.000	bicubic	-65.997	-41.923	+135
567	deit_base_distilled_patch16_224.fb_in1k	224	29.480	70.520	64.093	35.907	87.34	0.900	bicubic	-66.620	-35.097	-33
568	convnextv2_tiny.fcmae_ft_in1k	224	29.467	70.533	63.893	36.107	28.64	0.875	bicubic	-66.213	-35.117	+74
569	convit_base.fb_in1k	224	29.387	70.613	61.493	38.507	86.54	0.875	bicubic	-66.163	-37.397	+100
570	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	+51
571	convnext_tiny.fb_in22k_ft_in1k	288	29.253	70.747	56.560	43.440	28.59	1.000	bicubic	-65.617	-42.340	+278
572	mobilenetv4_conv_large.e600_r384_in1k	384	29.147	70.853	63.680	36.320	32.59	0.950	bicubic	-66.653	-35.380	+44
573	cs3se_edgenet_x.c2ns_in1k	256	29.080	70.920	60.933	39.067	50.72	0.950	bicubic	-66.870	-37.957	+9
574	tf_efficientnetv2_s.in1k	384	29.027	70.973	61.173	38.827	21.46	1.000	bicubic	-67.323	-37.937	-119
575	fastvit_sa24.apple_in1k	256	29.000	71.000	62.320	37.680	21.55	0.900	bicubic	-66.910	-36.840	+13
576	regnety_160.deit_in1k	224	29.000	71.000	61.467	38.533	83.59	0.950	bicubic	-67.050	-37.663	-27
577	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	224	28.960	71.040	60.787	39.213	88.79	0.875	bilinear	-66.530	-38.433	+117
578	davit_tiny.msft_in1k	224	28.893	71.107	63.627	36.373	28.36	0.950	bicubic	-66.767	-35.603	+70
579	hgnetv2_b4.ssld_stage2_ft_in1k	224	28.840	71.160	63.507	36.493	19.80	0.965	bicubic	-67.670	-35.873	-177
580	resnet101d.ra2_in1k	320	28.813	71.187	61.920	38.080	44.57	1.000	bicubic	-67.487	-37.500	-109
581	edgenext_base.usi_in1k	320	28.787	71.213	64.720	35.280	18.51	1.000	bicubic	-67.933	-34.800	-239
582	vit_little_patch16_reg4_gap_256.sbb_in1k	256	28.787	71.213	62.413	37.587	22.52	0.950	bicubic	-66.953	-36.707	+45
583	vit_relpos_medium_patch16_cls_224.sw_in1k	224	28.733	71.267	59.973	40.027	38.76	0.900	bicubic	-66.757	-38.797	+114
584	regnety_160.tv2_in1k	224	28.707	71.293	61.280	38.720	83.59	0.965	bicubic	-67.273	-37.920	-10
585	xcit_tiny_24_p8_224.fb_in1k	224	28.653	71.347	60.160	39.840	12.11	1.000	bicubic	-67.027	-38.990	+58
586	resnetrs152.tf_in1k	320	28.653	71.347	60.013	39.987	86.62	1.000	bicubic	-67.917	-39.407	-197
587	resnetv2_101.a1h_in1k	288	28.547	71.453	59.613	40.387	44.54	1.000	bicubic	-67.603	-39.547	-66
588	xcit_tiny_24_p8_224.fb_dist_in1k	224	28.520	71.480	61.400	38.600	12.11	1.000	bicubic	-67.280	-37.810	+27
589	vit_relpos_medium_patch16_224.sw_in1k	224	28.480	71.520	61.520	38.480	38.75	0.900	bicubic	-66.990	-37.440	+117
590	crossvit_15_dagger_240.in1k	240	28.453	71.547	60.093	39.907	28.21	0.875	bicubic	-67.217	-38.967	+56
591	hgnetv2_b3.ssld_stage2_ft_in1k	288	28.400	71.600	65.013	34.987	16.29	1.000	bicubic	-67.950	-34.317	-146
592	efficientvit_b2.r288_in1k	288	28.400	71.600	63.907	36.093	24.33	1.000	bicubic	-67.580	-35.373	-18
593	cs3edgenet_x.c2_in1k	288	28.360	71.640	61.040	38.960	47.82	1.000	bicubic	-67.700	-38.090	-47
594	xcit_small_24_p16_224.fb_in1k	224	28.320	71.680	59.000	41.000	47.67	1.000	bicubic	-67.220	-40.000	+82
595	xception65p.ra3_in1k	299	28.307	71.693	59.480	40.520	39.82	0.940	bicubic	-67.903	-39.940	-94
596	pvt_v2_b2_li.in1k	224	28.267	71.733	61.560	38.440	22.55	0.900	bicubic	-67.323	-37.470	+66
597	regnety_080.ra3_in1k	224	28.240	71.760	59.693	40.307	39.18	0.950	bicubic	-67.790	-39.417	-42
598	repvit_m2_3.dist_300e_in1k	224	28.227	71.773	61.453	38.547	23.69	0.950	bicubic	-67.953	-37.597	-88
599	regnety_064.ra3_in1k	224	28.227	71.773	59.507	40.493	30.58	0.950	bicubic	-67.643	-39.573	+3
600	efficientnet_b4.ra2_in1k	320	28.187	71.813	61.907	38.093	19.34	0.875	bicubic	-67.573	-37.253	+22
601	resnet101.a1h_in1k	288	28.120	71.880	59.640	40.360	44.55	1.000	bicubic	-67.920	-39.500	-50
602	cs3sedarknet_x.c2ns_in1k	256	28.027	71.973	60.333	39.667	35.40	0.887	bicubic	-67.603	-38.647	+52
603	efficientnetv2_rw_s.ra2_in1k	288	27.973	72.027	60.373	39.627	23.94	1.000	bicubic	-68.187	-38.817	-84
604	rdnet_tiny.nv_in1k	224	27.760	72.240	62.000	38.000	23.86	0.900	bicubic	-67.880	-36.950	+48
605	efficientformerv2_l.snap_dist_in1k	224	27.707	72.293	61.347	38.653	26.32	0.950	bicubic	-68.353	-37.853	-60
606	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	256	27.693	72.307	62.773	37.227	11.07	0.950	bicubic	-68.127	-36.327	+4
607	coat_lite_small.in1k	224	27.667	72.333	58.547	41.453	19.84	0.900	bicubic	-67.893	-40.333	+59
608	efficientformer_l7.snap_dist_in1k	224	27.653	72.347	62.640	37.360	82.23	0.950	bicubic	-68.457	-36.530	-78
609	flexivit_small.1200ep_in1k	240	27.587	72.413	58.240	41.760	22.06	0.950	bicubic	-67.973	-40.810	+54
610	resnetaa50d.sw_in12k_ft_in1k	288	27.520	72.480	62.067	37.933	25.58	1.000	bicubic	-68.290	-37.203	+3
611	regnetv_064.ra3_in1k	224	27.347	72.653	61.093	38.907	30.58	0.950	bicubic	-68.743	-38.137	-76
612	pvt_v2_b2.in1k	224	27.307	72.693	60.587	39.413	25.36	0.900	bicubic	-68.193	-38.533	+76
613	vit_base_patch16_384.augreg_in1k	384	27.293	72.707	56.507	43.493	86.86	1.000	bicubic	-67.667	-42.313	+213
614	resnext101_32x8d.tv2_in1k	224	27.240	72.760	59.347	40.653	88.79	0.965	bilinear	-68.750	-39.883	-45
615	deit_base_patch16_224.fb_in1k	224	27.173	72.827	58.640	41.360	86.57	0.900	bicubic	-68.267	-40.200	+98
616	convnextv2_nano.fcmae_ft_in22k_in1k	224	27.147	72.853	62.293	37.707	15.62	0.875	bicubic	-68.383	-36.827	+60
617	regnetz_c16.ra3_in1k	320	27.147	72.853	62.267	37.733	13.46	1.000	bicubic	-68.833	-36.883	-40
618	regnety_080_tv.tv2_in1k	224	27.133	72.867	61.360	38.640	39.38	0.965	bicubic	-68.767	-37.790	-27
619	resnetv2_50x1_bit.goog_in21k_ft_in1k	448	27.107	72.893	62.627	37.373	25.55	1.000	bilinear	-67.923	-36.263	+190
620	coatnet_bn_0_rw_224.sw_in1k	224	27.013	72.987	60.840	39.160	27.44	0.950	bicubic	-68.687	-38.390	+18
621	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	-62
622	coatnet_0_rw_224.sw_in1k	224	26.973	73.027	59.107	40.893	27.44	0.950	bicubic	-68.487	-39.523	+87
623	flexivit_small.600ep_in1k	240	26.827	73.173	57.013	42.987	22.06	0.950	bicubic	-68.863	-42.067	+18
624	vit_small_patch16_224.augreg_in21k_ft_in1k	224	26.813	73.187	58.840	41.160	22.05	0.900	bicubic	-68.597	-40.290	+99
625	vit_relpos_base_patch16_224.sw_in1k	224	26.787	73.213	60.467	39.533	86.43	0.900	bicubic	-68.803	-38.523	+36
626	dm_nfnet_f0.dm_in1k	256	26.773	73.227	58.067	41.933	71.49	0.900	bicubic	-69.577	-41.183	-177
627	gcvit_xtiny.in1k	224	26.720	73.280	60.587	39.413	19.98	0.875	bicubic	-68.870	-38.443	+33
628	swin_s3_tiny_224.ms_in1k	224	26.680	73.320	60.293	39.707	28.33	0.900	bicubic	-68.510	-38.657	+142
629	nextvit_small.bd_in1k	224	26.640	73.360	61.227	38.773	31.76	0.950	bicubic	-69.230	-37.963	-25
630	mobilenetv4_conv_large.e500_r256_in1k	320	26.587	73.413	61.080	38.920	32.59	1.000	bicubic	-69.303	-37.960	-37
631	sequencer2d_s.in1k	224	26.373	73.627	60.267	39.733	27.65	0.875	bicubic	-69.617	-38.823	-61
632	tresnet_v2_l.miil_in21k_ft_in1k	224	26.293	73.707	59.493	40.507	46.17	0.875	bilinear	-69.867	-39.697	-117
633	cs3edgenet_x.c2_in1k	256	26.267	73.733	59.067	40.933	47.82	0.887	bicubic	-69.243	-39.963	+52
634	mobilevitv2_200.cvnets_in22k_ft_in1k	256	26.227	73.773	58.707	41.293	18.45	0.888	bicubic	-68.943	-40.153	+142
635	hgnet_small.paddle_in1k	288	26.187	73.813	60.040	39.960	24.36	1.000	bicubic	-69.463	-39.070	+14
636	swinv2_tiny_window8_256.ms_in1k	256	26.173	73.827	60.480	39.520	28.35	0.900	bicubic	-69.327	-38.510	+49
637	regnetx_320.tv2_in1k	224	26.173	73.827	57.747	42.253	107.81	0.965	bicubic	-69.817	-41.303	-68
638	nfnet_l0.ra2_in1k	288	26.080	73.920	61.547	38.453	35.07	1.000	bicubic	-70.050	-37.693	-113
639	coatnet_rmlp_nano_rw_224.sw_in1k	224	26.080	73.920	60.400	39.600	15.15	0.900	bicubic	-69.360	-38.440	+74
640	resnext101_64x4d.c1_in1k	224	26.067	73.933	56.227	43.773	83.46	0.950	bicubic	-69.643	-42.803	-5
641	regnety_032.ra_in1k	288	26.040	73.960	60.867	39.133	19.44	1.000	bicubic	-69.950	-38.233	-74
642	resnet152d.ra2_in1k	256	26.000	74.000	58.040	41.960	60.21	0.950	bicubic	-70.070	-41.260	-98
643	deit3_small_patch16_224.fb_in1k	224	26.000	74.000	54.293	45.707	22.06	0.900	bicubic	-69.000	-44.607	+176
644	tf_efficientnet_b4.aa_in1k	380	25.960	74.040	59.960	40.040	19.34	0.922	bicubic	-69.990	-39.160	-64
645	fbnetv3_g.ra2_in1k	288	25.920	74.080	60.907	39.093	16.62	0.950	bilinear	-69.580	-38.073	+42
646	coatnext_nano_rw_224.sw_in1k	224	25.907	74.093	59.147	40.853	14.70	0.900	bicubic	-69.503	-39.853	+79
647	tf_efficientnet_b4.ap_in1k	380	25.827	74.173	59.573	40.427	19.34	0.922	bicubic	-70.343	-39.707	-135
648	flexivit_small.300ep_in1k	240	25.773	74.227	56.813	43.187	22.06	0.950	bicubic	-69.747	-41.947	+35
649	ecaresnet101d.miil_in1k	224	25.760	74.240	58.680	41.320	44.57	0.875	bicubic	-69.780	-40.500	+23
650	coat_mini.in1k	224	25.720	74.280	57.680	42.320	10.34	0.900	bicubic	-69.280	-41.100	+168
651	inception_next_tiny.sail_in1k	224	25.693	74.307	59.480	40.520	28.06	0.875	bicubic	-69.777	-39.400	+54
652	ecaresnet50t.ra2_in1k	320	25.680	74.320	59.707	40.293	25.57	0.950	bicubic	-69.840	-39.303	+26
653	mobilevitv2_175.cvnets_in22k_ft_in1k	256	25.680	74.320	58.027	41.973	14.25	0.888	bicubic	-69.570	-40.903	+109
654	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	-34
655	visformer_small.in1k	224	25.640	74.360	58.573	41.427	40.22	0.900	bicubic	-69.860	-40.417	+35
656	rexnetr_200.sw_in12k_ft_in1k	224	25.507	74.493	60.427	39.573	16.52	0.950	bicubic	-70.303	-38.743	-42
657	crossvit_15_240.in1k	240	25.440	74.560	57.320	42.680	27.53	0.875	bicubic	-69.690	-41.620	+129
658	vit_small_patch16_384.augreg_in1k	384	25.413	74.587	57.147	42.853	22.20	1.000	bicubic	-69.877	-41.863	+95
659	convformer_s18.sail_in1k	224	25.387	74.613	57.600	42.400	26.77	1.000	bicubic	-70.563	-41.570	-76
660	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	+20
661	halo2botnet50ts_256.a1h_in1k	256	25.173	74.827	56.280	43.720	22.64	0.950	bicubic	-70.247	-42.650	+60
662	resnetv2_50x1_bit.goog_distilled_in1k	224	25.133	74.867	59.387	40.613	25.55	0.875	bicubic	-70.967	-39.893	-129
663	xcit_small_12_p16_224.fb_in1k	224	25.040	74.960	55.707	44.293	26.25	1.000	bicubic	-70.390	-43.273	+54
664	resnetrs270.tf_in1k	256	25.040	74.960	54.307	45.693	129.86	1.000	bicubic	-71.360	-44.933	-234
665	edgenext_base.usi_in1k	256	25.027	74.973	60.667	39.333	18.51	0.950	bicubic	-71.373	-38.713	-237
666	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	+97
667	hgnet_tiny.ssld_in1k	288	24.947	75.053	61.440	38.560	14.74	1.000	bicubic	-71.283	-37.670	-178
668	resnet101.a1_in1k	288	24.947	75.053	54.973	45.027	44.55	1.000	bicubic	-70.543	-43.817	+30
669	convit_small.fb_in1k	224	24.813	75.187	56.880	43.120	27.78	0.875	bicubic	-70.377	-42.080	+103
670	resnet152.a2_in1k	288	24.800	75.200	53.893	46.107	60.19	1.000	bicubic	-70.690	-45.217	+30
671	regnetz_c16_evos.ch_in1k	256	24.733	75.267	59.653	40.347	13.49	0.950	bicubic	-70.967	-39.257	-36
672	vit_base_patch16_rpn_224.sw_in1k	224	24.733	75.267	57.987	42.013	86.54	0.900	bicubic	-70.657	-40.963	+57
673	gc_efficientnetv2_rw_t.agc_in1k	288	24.587	75.413	57.533	42.467	13.68	1.000	bicubic	-71.153	-41.647	-45
674	tnt_s_patch16_224	224	24.573	75.427	57.773	42.227	23.76	0.900	bicubic	-70.487	-41.067	+131
675	efficientvit_b2.r256_in1k	256	24.533	75.467	59.120	40.880	24.33	1.000	bicubic	-71.137	-39.690	-30
676	hgnetv2_b4.ssld_stage1_in22k_in1k	224	24.507	75.493	60.387	39.613	19.80	0.965	bicubic	-71.963	-38.913	-267
677	eca_nfnet_l0.ra2_in1k	288	24.480	75.520	59.587	40.413	24.14	1.000	bicubic	-71.490	-39.623	-100
678	regnetv_040.ra3_in1k	224	24.387	75.613	57.600	42.400	20.64	0.950	bicubic	-71.363	-41.520	-55
679	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
680	tf_efficientnet_b2.ns_jft_in1k	260	24.253	75.747	57.573	42.427	9.11	0.890	bicubic	-71.497	-41.647	-56
681	efficientnetv2_rw_t.ra2_in1k	288	24.240	75.760	57.147	42.853	13.65	1.000	bicubic	-71.370	-41.923	-24
682	xception41p.ra3_in1k	299	24.240	75.760	54.560	45.440	26.91	0.940	bicubic	-71.320	-44.370	-16
683	tf_efficientnetv2_b3.in21k_ft_in1k	240	24.213	75.787	55.840	44.160	14.36	0.900	bicubic	-71.127	-43.060	+58
684	xcit_tiny_12_p16_384.fb_dist_in1k	384	24.120	75.880	56.920	43.080	6.72	1.000	bicubic	-71.040	-41.930	+94
685	convnext_tiny.fb_in1k	224	24.107	75.893	59.107	40.893	28.59	0.875	bicubic	-71.433	-39.943	-10
686	convnext_nano.in12k_ft_in1k	224	24.067	75.933	60.373	39.627	15.59	0.950	bicubic	-71.643	-38.887	-52
687	cs3darknet_x.c2ns_in1k	288	24.000	76.000	57.573	42.427	35.05	1.000	bicubic	-71.870	-41.517	-86
688	eva02_tiny_patch14_336.mim_in22k_ft_in1k	336	23.987	76.013	55.507	44.493	5.76	1.000	bicubic	-70.973	-43.403	+139
689	convnext_nano_ols.d1h_in1k	288	23.973	76.027	56.493	43.507	15.65	1.000	bicubic	-71.137	-42.407	+106
690	vit_small_r26_s32_224.augreg_in21k_ft_in1k	224	23.933	76.067	55.947	44.053	36.43	0.900	bicubic	-71.707	-43.243	-39
691	twins_svt_small.in1k	224	23.920	76.080	57.400	42.600	24.06	0.900	bicubic	-71.300	-41.680	+77
692	vit_relpos_small_patch16_224.sw_in1k	224	23.907	76.093	57.733	42.267	21.98	0.900	bicubic	-71.283	-41.307	+79
693	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	+9
694	ecaresnet50d.miil_in1k	288	23.773	76.227	58.547	41.453	25.58	0.950	bicubic	-71.717	-40.593	+1
695	cs3sedarknet_l.c2ns_in1k	288	23.747	76.253	58.280	41.720	21.91	0.950	bicubic	-71.573	-40.860	+51
696	coatnet_nano_rw_224.sw_in1k	224	23.720	76.280	56.693	43.307	15.14	0.900	bicubic	-71.520	-42.217	+69
697	poolformer_m48.sail_in1k	224	23.680	76.320	56.853	43.147	73.47	0.950	bicubic	-71.960	-42.177	-44
698	convnext_nano.d1h_in1k	288	23.653	76.347	55.707	44.293	15.59	1.000	bicubic	-71.697	-43.193	+41
699	vit_small_patch32_384.augreg_in21k_ft_in1k	384	23.560	76.440	56.907	43.093	22.92	1.000	bicubic	-71.510	-42.083	+103
700	resnet152.a1h_in1k	224	23.533	76.467	53.093	46.907	60.19	0.950	bicubic	-72.357	-45.987	-105
701	tiny_vit_11m_224.in1k	224	23.520	76.480	58.627	41.373	11.00	0.950	bicubic	-72.030	-40.463	-33
702	mobilevitv2_150.cvnets_in22k_ft_in1k	256	23.507	76.493	55.187	44.813	10.59	0.888	bicubic	-71.643	-43.903	+80
703	tf_efficientnet_b5.in1k	456	23.440	76.560	57.480	42.520	30.39	0.934	bicubic	-72.640	-41.820	-160
704	crossvit_small_240.in1k	240	23.413	76.587	56.387	43.613	26.86	0.875	bicubic	-71.437	-42.633	+152
705	nest_tiny_jx.goog_in1k	224	23.253	76.747	56.133	43.867	17.06	0.875	bicubic	-72.007	-42.837	+53
706	seresnext50_32x4d.racm_in1k	288	23.240	76.760	57.347	42.653	27.56	0.950	bicubic	-72.480	-41.693	-77
707	hrnet_w18_ssld.paddle_in1k	288	23.240	76.760	55.067	44.933	21.30	1.000	bilinear	-72.740	-44.093	-135
708	focalnet_tiny_srf.ms_in1k	224	23.227	76.773	58.160	41.840	28.43	0.900	bicubic	-72.263	-40.640	-15
709	efficientnet_b3.ra2_in1k	320	23.200	76.800	55.933	44.067	12.23	1.000	bicubic	-72.520	-43.257	-78
710	regnety_040.ra3_in1k	224	23.187	76.813	55.333	44.667	20.65	0.950	bicubic	-72.373	-43.787	-46
711	levit_384.fb_dist_in1k	224	23.173	76.827	55.747	44.253	39.13	0.900	bicubic	-72.367	-43.393	-38
712	levit_conv_384.fb_dist_in1k	224	23.173	76.827	55.747	44.253	39.13	0.900	bicubic	-72.367	-43.303	-38
713	convnext_tiny_hnf.a2h_in1k	224	23.160	76.840	54.933	45.067	28.59	0.950	bicubic	-72.360	-44.037	-32
714	lamhalobotnet50ts_256.a1h_in1k	256	23.133	76.867	54.880	45.120	22.57	0.950	bicubic	-72.027	-44.120	+66
715	regnetz_c16.ra3_in1k	256	23.107	76.893	57.733	42.267	13.46	0.940	bicubic	-72.413	-41.347	-34
716	pnasnet5large.tf_in1k	331	23.107	76.893	53.293	46.707	86.06	0.911	bicubic	-72.613	-45.627	-83
717	nasnetalarge.tf_in1k	331	23.080	76.920	54.533	45.467	88.75	0.911	bicubic	-72.620	-44.527	-77
718	vit_base_patch32_clip_224.laion2b_ft_in1k	224	23.067	76.933	55.347	44.653	88.22	0.900	bicubic	-72.483	-43.523	-48
719	efficientformer_l3.snap_dist_in1k	224	23.040	76.960	56.787	43.213	31.41	0.950	bicubic	-72.570	-42.393	-62
720	pit_s_distilled_224.in1k	224	22.973	77.027	56.880	43.120	24.04	0.900	bicubic	-72.207	-42.000	+53
721	wide_resnet50_2.racm_in1k	288	22.960	77.040	55.600	44.400	68.88	0.950	bicubic	-72.700	-43.430	-74
722	focalnet_tiny_lrf.ms_in1k	224	22.920	77.080	58.133	41.867	28.65	0.900	bicubic	-72.560	-40.967	-19
723	hgnetv2_b3.ssld_stage1_in22k_in1k	224	22.827	77.173	58.760	41.240	16.29	0.965	bicubic	-73.153	-40.530	-151
724	convnextv2_nano.fcmae_ft_in1k	288	22.813	77.187	58.747	41.253	15.62	1.000	bicubic	-73.087	-40.363	-134
725	regnetx_160.tv2_in1k	224	22.787	77.213	56.200	43.800	54.28	0.965	bicubic	-73.113	-42.910	-133
726	resnet61q.ra2_in1k	288	22.773	77.227	55.480	44.520	36.85	1.000	bicubic	-73.027	-43.520	-109
727	vit_base_patch32_clip_224.openai_ft_in1k	224	22.747	77.253	55.840	44.160	88.22	0.900	bicubic	-72.373	-43.150	+61
728	halonet50ts.a1h_in1k	256	22.747	77.253	54.360	45.640	22.73	0.940	bicubic	-72.393	-44.630	+57
729	tiny_vit_5m_224.dist_in22k_ft_in1k	224	22.720	77.280	55.893	44.107	5.39	0.950	bicubic	-72.330	-43.087	+76
730	resnetv2_50d_evos.ah_in1k	288	22.720	77.280	55.013	44.987	25.59	1.000	bicubic	-72.930	-44.137	-79
731	efficientnet_b3.ra2_in1k	288	22.693	77.307	55.133	44.867	12.23	0.875	bicubic	-72.497	-43.797	+38
732	tf_efficientnet_b4.in1k	380	22.653	77.347	56.267	43.733	19.34	0.922	bicubic	-73.167	-42.793	-121
733	twins_pcpvt_small.in1k	224	22.627	77.373	56.600	43.400	24.11	0.900	bicubic	-72.603	-42.280	+32
734	resmlp_big_24_224.fb_in1k	224	22.627	77.373	54.013	45.987	129.14	0.875	bicubic	-72.023	-44.647	+172
735	hgnetv2_b2.ssld_stage2_ft_in1k	288	22.560	77.440	59.227	40.773	11.22	1.000	bicubic	-73.650	-39.953	-236
736	poolformerv2_m48.sail_in1k	224	22.520	77.480	55.533	44.467	73.35	1.000	bicubic	-73.230	-43.447	-111
737	repvit_m1_5.dist_450e_in1k	224	22.373	77.627	55.493	44.507	14.64	0.950	bicubic	-73.557	-43.667	-153
738	vit_srelpos_small_patch16_224.sw_in1k	224	22.360	77.640	55.293	44.707	21.97	0.900	bicubic	-72.710	-43.657	+65
739	ecaresnet101d_pruned.miil_in1k	288	22.293	77.707	56.427	43.573	24.88	0.950	bicubic	-73.447	-42.593	-113
740	poolformer_m36.sail_in1k	224	22.267	77.733	55.147	44.853	56.17	0.950	bicubic	-73.143	-43.873	-14
741	hgnetv2_b3.ssld_stage2_ft_in1k	224	22.253	77.747	57.893	42.107	16.29	0.965	bicubic	-73.667	-41.387	-155
742	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	+72
743	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	+55
744	resnetv2_50d_gn.ah_in1k	288	22.040	77.960	54.880	45.120	25.57	1.000	bicubic	-73.460	-44.020	-55
745	wide_resnet101_2.tv2_in1k	224	22.013	77.987	54.560	45.440	126.89	0.965	bilinear	-73.537	-44.430	-78
746	ecaresnet50t.a1_in1k	288	21.840	78.160	53.560	46.440	25.57	1.000	bicubic	-73.620	-45.160	-38
747	resnext50_32x4d.a1h_in1k	288	21.813	78.187	54.200	45.800	25.03	1.000	bicubic	-73.627	-44.790	-33
748	tf_efficientnetv2_s.in1k	300	21.760	78.240	53.293	46.707	21.46	1.000	bicubic	-74.390	-45.817	-225
749	resnet101d.ra2_in1k	256	21.693	78.307	54.360	45.640	44.57	0.950	bicubic	-74.207	-44.720	-160
750	res2net101d.in1k	224	21.613	78.387	51.147	48.853	45.23	0.875	bilinear	-73.227	-47.563	+108
751	resnetrs152.tf_in1k	256	21.587	78.413	51.360	48.640	86.62	1.000	bicubic	-74.443	-47.690	-195
752	efficientvit_b2.r224_in1k	224	21.573	78.427	55.253	44.747	24.33	0.950	bicubic	-73.737	-43.537	-3
753	convnextv2_nano.fcmae_ft_in1k	224	21.547	78.453	55.427	44.573	15.62	0.875	bicubic	-73.883	-43.453	-37
754	efficientformerv2_s2.snap_dist_in1k	224	21.547	78.453	54.040	45.960	12.71	0.950	bicubic	-73.833	-44.910	-25
755	cs3sedarknet_l.c2ns_in1k	256	21.427	78.573	55.653	44.347	21.91	0.887	bicubic	-73.443	-43.157	+90
756	vit_wee_patch16_reg1_gap_256.sbb_in1k	256	21.413	78.587	54.507	45.493	13.42	0.950	bicubic	-73.377	-44.063	+112
757	tresnet_m.miil_in21k_ft_in1k	224	21.387	78.613	53.520	46.480	31.39	0.875	bilinear	-74.343	-45.510	-128
758	fastvit_sa12.apple_dist_in1k	256	21.307	78.693	54.600	45.400	11.58	0.900	bicubic	-73.823	-44.210	+29
759	ecaresnet50t.ra2_in1k	256	21.253	78.747	52.960	47.040	25.57	0.875	bicubic	-73.577	-45.770	+103
760	resnet50_gn.a1h_in1k	288	21.160	78.840	54.200	45.800	25.56	0.950	bicubic	-74.120	-44.710	-6
761	maxvit_rmlp_pico_rw_256.sw_in1k	256	21.160	78.840	51.787	48.213	7.52	0.950	bicubic	-73.530	-47.013	+129
762	swin_tiny_patch4_window7_224.ms_in1k	224	21.120	78.880	55.640	44.360	28.29	0.900	bicubic	-74.050	-43.280	+15
763	repvit_m1_5.dist_300e_in1k	224	21.107	78.893	54.307	45.693	14.64	0.950	bicubic	-74.593	-44.843	-124
764	pit_s_224.in1k	224	21.080	78.920	53.547	46.453	23.46	0.900	bicubic	-73.580	-45.173	+136
765	convmixer_1536_20.in1k	224	20.973	79.027	55.307	44.693	51.63	0.960	bicubic	-74.107	-43.723	+34
766	cs3darknet_x.c2ns_in1k	256	20.893	79.107	53.467	46.533	35.05	0.950	bicubic	-74.517	-45.373	-42
767	resnet101.a2_in1k	288	20.880	79.120	51.853	48.147	44.55	1.000	bicubic	-74.540	-47.177	-45
768	xcit_tiny_12_p8_224.fb_in1k	224	20.827	79.173	51.987	48.013	6.71	1.000	bicubic	-73.853	-46.853	+122
769	nfnet_l0.ra2_in1k	224	20.760	79.240	55.507	44.493	35.07	0.900	bicubic	-74.670	-43.333	-54
770	deit_small_distilled_patch16_224.fb_in1k	224	20.733	79.267	54.853	45.147	22.44	0.900	bicubic	-73.977	-43.967	+114
771	poolformerv2_m36.sail_in1k	224	20.667	79.333	52.987	47.013	56.08	1.000	bicubic	-74.763	-46.103	-54
772	resnet61q.ra2_in1k	256	20.653	79.347	52.947	47.053	36.85	0.900	bicubic	-74.687	-46.023	-30
773	resnet51q.ra2_in1k	288	20.600	79.400	55.173	44.827	35.70	1.000	bilinear	-75.280	-43.847	-175
774	vit_pwee_patch16_reg1_gap_256.sbb_in1k	256	20.560	79.440	53.173	46.827	15.25	0.950	bicubic	-74.080	-45.607	+133
775	regnety_032.tv2_in1k	224	20.547	79.453	54.347	45.653	19.44	0.965	bicubic	-74.753	-44.583	-25
776	resnet152.a1_in1k	224	20.493	79.507	48.853	51.147	60.19	0.950	bicubic	-74.647	-49.927	+9
777	resnet152.tv2_in1k	224	20.453	79.547	52.427	47.573	60.19	0.965	bilinear	-75.077	-46.533	-99
778	ecaresnetlight.miil_in1k	288	20.440	79.560	53.360	46.640	30.16	0.950	bicubic	-74.850	-45.680	-26
779	sebotnet33ts_256.a1h_in1k	256	20.333	79.667	48.693	51.307	13.70	0.940	bicubic	-74.317	-49.817	+127
780	resnetrs101.tf_in1k	288	20.307	79.693	52.573	47.427	63.62	0.940	bicubic	-75.113	-46.447	-60
781	regnety_032.ra_in1k	224	20.173	79.827	52.933	47.067	19.44	0.950	bicubic	-75.227	-46.147	-54
782	resnest50d_4s2x40d.in1k	224	20.093	79.907	52.800	47.200	30.42	0.875	bicubic	-74.867	-46.020	+42
783	hgnet_small.paddle_in1k	224	20.040	79.960	52.627	47.373	24.36	0.965	bicubic	-75.070	-46.303	+7
784	resnetaa50d.sw_in12k_ft_in1k	224	20.027	79.973	54.720	45.280	25.58	0.950	bicubic	-75.333	-44.350	-49
785	resnetaa50.a1h_in1k	288	20.013	79.987	51.733	48.267	25.56	1.000	bicubic	-75.227	-47.137	-21
786	hgnet_tiny.ssld_in1k	224	19.987	80.013	54.773	45.227	14.74	0.965	bicubic	-75.723	-44.477	-153
787	fbnetv3_g.ra2_in1k	240	19.947	80.053	53.720	46.280	16.62	0.950	bilinear	-75.083	-45.340	+26
788	mobilenetv4_conv_large.e500_r256_in1k	256	19.920	80.080	53.493	46.507	32.59	0.950	bicubic	-75.170	-45.457	+9
789	xcit_nano_12_p8_384.fb_dist_in1k	384	19.760	80.240	50.560	49.440	3.05	1.000	bicubic	-73.710	-47.950	+342
790	resnext50_32x4d.a1_in1k	288	19.747	80.253	50.227	49.773	25.03	1.000	bicubic	-75.093	-48.553	+70
791	hgnetv2_b2.ssld_stage1_in22k_in1k	288	19.693	80.307	55.360	44.640	11.22	1.000	bicubic	-76.117	-43.820	-180
792	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	+66
793	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	256	19.600	80.400	53.227	46.773	11.07	0.950	bicubic	-75.770	-45.633	-62
794	haloregnetz_b.ra3_in1k	224	19.600	80.400	49.720	50.280	11.68	0.940	bicubic	-75.140	-48.960	+88
795	regnetz_b16.ra3_in1k	288	19.573	80.427	52.400	47.600	9.72	1.000	bicubic	-75.597	-46.680	-20
796	resnet51q.ra2_in1k	256	19.560	80.440	53.533	46.467	35.70	0.875	bilinear	-75.930	-45.317	-100
797	mobilenetv4_conv_medium.e500_r256_in1k	320	19.480	80.520	53.053	46.947	9.72	1.000	bicubic	-75.520	-45.407	+20
798	resnext101_32x8d.tv2_in1k	176	19.440	80.560	51.893	48.107	88.79	0.875	bilinear	-75.920	-47.157	-64
799	tresnet_xl.miil_in1k	224	19.347	80.653	52.827	47.173	78.44	0.875	bilinear	-76.093	-46.233	-88
800	resnetv2_101.a1h_in1k	224	19.320	80.680	48.853	51.147	44.54	0.950	bicubic	-76.360	-50.207	-156
801	resnet101.a1h_in1k	224	19.280	80.720	49.787	50.213	44.55	0.950	bicubic	-76.090	-49.023	-70
802	senet154.gluon_in1k	224	19.133	80.867	47.320	52.680	115.09	0.875	bicubic	-75.797	-51.450	+32
803	rexnet_200.nav_in1k	224	19.040	80.960	52.573	47.427	16.37	0.875	bicubic	-75.930	-46.177	+19
804	lambda_resnet50ts.a1h_in1k	256	19.027	80.973	48.907	51.093	21.54	0.950	bicubic	-75.813	-49.563	+57
805	resnet50d.a1_in1k	288	19.027	80.973	48.707	51.293	25.58	1.000	bicubic	-75.723	-49.763	+74
806	seresnext101_64x4d.gluon_in1k	224	19.013	80.987	48.920	51.080	88.23	0.875	bicubic	-75.927	-49.880	+27
807	levit_256.fb_dist_in1k	224	19.000	81.000	49.707	50.293	18.89	0.900	bicubic	-76.030	-49.163	+3
808	levit_conv_256.fb_dist_in1k	224	19.000	81.000	49.707	50.293	18.89	0.900	bicubic	-76.030	-49.163	+5
809	legacy_senet154.in1k	224	18.947	81.053	47.640	52.360	115.09	0.875	bilinear	-76.153	-51.190	-13
810	tf_efficientnet_b1.ns_jft_in1k	240	18.920	81.080	51.707	48.293	7.79	0.882	bicubic	-76.230	-47.123	-29
811	repvgg_b3.rvgg_in1k	224	18.867	81.133	49.840	50.160	123.09	0.875	bilinear	-75.683	-49.070	+121
812	gcvit_xxtiny.in1k	224	18.800	81.200	53.107	46.893	12.00	0.875	bicubic	-75.580	-45.643	+153
813	eca_nfnet_l0.ra2_in1k	224	18.760	81.240	53.320	46.680	24.14	0.900	bicubic	-76.530	-45.780	-62
814	deit_small_patch16_224.fb_in1k	224	18.720	81.280	51.093	48.907	22.05	0.900	bicubic	-75.710	-47.497	+145
815	mobilevitv2_200.cvnets_in1k	256	18.587	81.413	50.080	49.920	18.45	0.888	bicubic	-76.273	-48.710	+39
816	edgenext_small.usi_in1k	320	18.547	81.453	53.560	46.440	5.59	1.000	bicubic	-76.873	-45.540	-98
817	mixer_b16_224.miil_in21k_ft_in1k	224	18.547	81.453	51.213	48.787	59.88	0.875	bilinear	-76.813	-47.767	-80
818	ecaresnet50t.a2_in1k	288	18.440	81.560	48.760	51.240	25.57	1.000	bicubic	-76.910	-50.090	-81
819	regnetx_080.tv2_in1k	224	18.413	81.587	50.133	49.867	39.57	0.965	bicubic	-76.697	-48.577	-25
820	seresnet50.ra2_in1k	288	18.360	81.640	51.067	48.933	28.09	0.950	bicubic	-76.970	-47.833	-77
821	poolformer_s36.sail_in1k	224	18.293	81.707	52.027	47.973	30.86	0.900	bicubic	-76.817	-46.783	-28
822	repvit_m3.dist_in1k	224	18.293	81.707	51.680	48.320	10.68	0.950	bicubic	-76.947	-47.300	-60
823	seresnext50_32x4d.racm_in1k	224	18.240	81.760	50.893	49.107	27.56	0.875	bicubic	-76.790	-47.907	-13
824	wide_resnet50_2.tv2_in1k	224	18.133	81.867	52.267	47.733	68.88	0.965	bilinear	-76.737	-46.503	+20
825	ese_vovnet39b.ra_in1k	288	18.080	81.920	49.613	50.387	24.57	0.950	bicubic	-76.810	-49.297	+14
826	cait_xxs36_224.fb_dist_in1k	224	18.080	81.920	49.267	50.733	17.30	1.000	bicubic	-76.160	-49.443	+168
827	sehalonet33ts.ra2_in1k	256	18.040	81.960	47.613	52.387	13.69	0.940	bicubic	-76.750	-51.327	+43
828	mobilenetv4_hybrid_medium.e500_r224_in1k	256	18.013	81.987	51.613	48.387	11.07	1.000	bicubic	-77.457	-47.717	-121
829	ecaresnet50d.miil_in1k	224	18.000	82.000	51.507	48.493	25.58	0.875	bicubic	-76.630	-47.193	+81
830	gcresnet50t.ra2_in1k	288	17.947	82.053	49.373	50.627	25.90	1.000	bicubic	-77.333	-49.627	-74
831	tf_efficientnet_lite4.in1k	380	17.907	82.093	50.307	49.693	13.01	0.920	bilinear	-76.983	-48.713	+7
832	cs3darknet_l.c2ns_in1k	288	17.853	82.147	51.453	48.547	21.16	0.950	bicubic	-77.287	-46.957	-49
833	resnet101.a1_in1k	224	17.853	82.147	45.573	54.427	44.55	0.950	bicubic	-76.677	-53.057	+107
834	resnest50d_1s4x24d.in1k	224	17.627	82.373	49.627	50.373	25.68	0.875	bicubic	-77.133	-49.173	+38
835	mobilevitv2_175.cvnets_in1k	256	17.600	82.400	49.227	50.773	14.25	0.888	bicubic	-77.270	-49.323	+11
836	resnet50d.ra2_in1k	288	17.547	82.453	49.880	50.120	25.58	0.950	bicubic	-77.463	-49.090	-22
837	vit_tiny_patch16_384.augreg_in21k_ft_in1k	384	17.547	82.453	49.747	50.253	5.79	1.000	bicubic	-76.083	-48.483	+268
838	resnetv2_50.a1h_in1k	288	17.533	82.467	49.880	50.120	25.55	1.000	bicubic	-77.297	-48.990	+26
839	tiny_vit_5m_224.in1k	224	17.520	82.480	49.960	50.040	5.39	0.950	bicubic	-76.760	-48.580	+149
840	hgnet_tiny.paddle_in1k	288	17.480	82.520	50.853	49.147	14.74	1.000	bicubic	-77.480	-48.207	-15
841	seresnext101_32x4d.gluon_in1k	224	17.400	82.600	46.493	53.507	48.96	0.875	bicubic	-77.520	-52.387	-4
842	resnest50d.in1k	224	17.347	82.653	50.547	49.453	27.48	0.875	bilinear	-77.483	-48.323	+21
843	resnet152.a2_in1k	224	17.347	82.653	45.600	54.400	60.19	0.950	bicubic	-77.603	-53.360	-11
844	hgnetv2_b2.ssld_stage2_ft_in1k	224	17.293	82.707	51.787	48.213	11.22	0.965	bicubic	-78.247	-46.973	-175
845	resnet50.c2_in1k	288	17.293	82.707	49.387	50.613	25.56	1.000	bicubic	-77.597	-49.473	-2
846	inception_v4.tf_in1k	299	17.293	82.707	45.373	54.627	42.68	0.875	bicubic	-77.087	-53.517	+123
847	dm_nfnet_f0.dm_in1k	192	17.200	82.800	45.027	54.973	71.49	0.900	bicubic	-78.180	-53.893	-117
848	convnext_pico.d1_in1k	288	17.133	82.867	49.707	50.293	9.05	0.950	bicubic	-77.617	-48.973	+28
849	tf_efficientnet_b3.ap_in1k	300	17.120	82.880	49.560	50.440	12.23	0.904	bicubic	-78.230	-49.370	-111
850	efficientnet_el.ra_in1k	300	17.093	82.907	49.893	50.107	10.59	0.904	bicubic	-78.027	-49.097	-62
851	xcit_tiny_24_p16_224.fb_dist_in1k	224	17.093	82.907	47.427	52.573	12.12	1.000	bicubic	-77.437	-51.373	+85
852	regnetx_032.tv2_in1k	224	17.000	83.000	48.120	51.880	15.30	0.965	bicubic	-77.660	-50.720	+45
853	fastvit_s12.apple_dist_in1k	256	16.987	83.013	49.333	50.667	9.47	0.900	bicubic	-77.883	-49.537	-5
854	gcresnext50ts.ch_in1k	288	16.973	83.027	47.987	52.013	15.67	1.000	bicubic	-77.887	-50.823	-4
855	xception71.tf_in1k	299	16.893	83.107	45.613	54.387	42.34	0.903	bicubic	-77.437	-53.237	+119
856	cs3darknet_focus_l.c2ns_in1k	288	16.853	83.147	50.053	49.947	21.15	0.950	bicubic	-78.307	-48.907	-77
857	hrnet_w18_ssld.paddle_in1k	224	16.827	83.173	46.867	53.133	21.30	0.950	bilinear	-78.533	-52.003	-124
858	regnety_016.tv2_in1k	224	16.787	83.213	49.840	50.160	11.20	0.965	bicubic	-77.793	-49.060	+65
859	tf_efficientnet_b3.aa_in1k	300	16.787	83.213	49.187	50.813	12.23	0.904	bicubic	-78.223	-49.723	-42
860	gc_efficientnetv2_rw_t.agc_in1k	224	16.733	83.267	46.653	53.347	13.68	1.000	bicubic	-78.307	-52.247	-52
861	resnext101_64x4d.gluon_in1k	224	16.720	83.280	44.027	55.973	83.46	0.875	bicubic	-77.950	-54.623	+35
862	resmlp_36_224.fb_distilled_in1k	224	16.707	83.293	51.093	48.907	44.69	0.875	bicubic	-78.173	-47.777	-19
863	convnextv2_pico.fcmae_ft_in1k	288	16.707	83.293	50.000	50.000	9.07	0.950	bicubic	-78.543	-48.800	-104
864	efficientnetv2_rw_t.ra2_in1k	224	16.707	83.293	47.067	52.933	13.65	1.000	bicubic	-78.273	-51.683	-42
865	poolformerv2_s36.sail_in1k	224	16.680	83.320	49.267	50.733	30.79	1.000	bicubic	-78.650	-49.743	-120
866	tf_efficientnetv2_b3.in1k	300	16.587	83.413	48.480	51.520	14.36	0.904	bicubic	-78.593	-50.350	-92
867	ecaresnet50t.a1_in1k	224	16.520	83.480	47.147	52.853	25.57	0.950	bicubic	-78.160	-51.673	+26
868	resnet50d.ra4_e3600_r224_in1k	288	16.453	83.547	49.013	50.987	25.58	1.000	bicubic	-78.867	-49.807	-122
869	inception_resnet_v2.tf_in1k	299	16.453	83.547	44.720	55.280	55.84	0.897	bicubic	-78.117	-54.240	+59
870	tresnet_l.miil_in1k	224	16.440	83.560	49.573	50.427	55.99	0.875	bilinear	-78.830	-49.437	-114
871	resnet152s.gluon_in1k	224	16.440	83.560	44.347	55.653	60.32	0.875	bicubic	-78.620	-54.583	-66
872	convnext_pico_ols.d1_in1k	288	16.347	83.653	49.267	50.733	9.06	1.000	bicubic	-78.293	-49.503	+36
873	resnet101.tv2_in1k	224	16.333	83.667	48.333	51.667	44.55	0.965	bilinear	-78.957	-50.597	-119
874	gcresnet50t.ra2_in1k	256	16.320	83.680	48.320	51.680	25.90	0.900	bicubic	-78.540	-50.530	-22
875	resnet152d.gluon_in1k	224	16.320	83.680	44.080	55.920	60.21	0.875	bicubic	-78.500	-54.680	-8
876	fastvit_sa12.apple_in1k	256	16.307	83.693	49.387	50.613	11.58	0.900	bicubic	-78.583	-49.423	-35
877	convnext_nano.d1h_in1k	224	16.293	83.707	47.440	52.560	15.59	0.950	bicubic	-78.637	-51.230	-42
878	gernet_l.idstcv_in1k	256	16.253	83.747	46.773	53.227	31.08	0.875	bilinear	-78.857	-52.257	-86
879	resmlp_24_224.fb_distilled_in1k	224	16.227	83.773	49.947	50.053	30.02	0.875	bicubic	-78.223	-48.823	+77
880	mobilevitv2_150.cvnets_in1k	256	16.227	83.773	47.960	52.040	10.59	0.888	bicubic	-78.303	-50.740	+57
881	convnext_nano_ols.d1h_in1k	224	16.200	83.800	47.893	52.107	15.65	0.950	bicubic	-78.540	-50.727	+1
882	seresnet50.a1_in1k	288	16.173	83.827	46.853	53.147	28.09	1.000	bicubic	-78.497	-51.867	+13
883	wide_resnet50_2.racm_in1k	224	16.133	83.867	48.093	51.907	68.88	0.875	bicubic	-78.947	-50.877	-83
884	inception_resnet_v2.tf_ens_adv_in1k	299	16.120	83.880	43.333	56.667	55.84	0.897	bicubic	-78.100	-55.267	+113
885	resnetv2_50d_evos.ah_in1k	224	16.107	83.893	46.467	53.533	25.59	0.950	bicubic	-78.863	-52.523	-62
886	repvgg_b3g4.rvgg_in1k	224	16.067	83.933	47.480	52.520	83.83	0.875	bilinear	-78.453	-51.340	+55
887	gmlp_s16_224.ra3_in1k	224	16.067	83.933	44.707	55.293	19.42	0.875	bicubic	-78.093	-53.793	+128
888	gcresnext50ts.ch_in1k	256	16.053	83.947	46.160	53.840	15.67	0.900	bicubic	-78.477	-52.560	+49
889	resnetv2_50d_gn.ah_in1k	224	16.053	83.947	46.133	53.867	25.57	0.950	bicubic	-78.697	-52.537	-13
890	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	+140
891	repvit_m1_1.dist_450e_in1k	224	16.040	83.960	49.120	50.880	8.80	0.950	bicubic	-78.850	-49.800	-52
892	ecaresnet101d_pruned.miil_in1k	224	15.907	84.093	48.573	51.427	24.88	0.875	bicubic	-79.163	-50.407	-91
893	mobilenetv4_hybrid_medium.e500_r224_in1k	224	15.893	84.107	47.973	52.027	11.07	0.950	bicubic	-78.967	-50.827	-38
894	ecaresnet50d_pruned.miil_in1k	288	15.880	84.120	49.653	50.347	19.94	0.950	bicubic	-79.230	-49.257	-104
895	efficientnet_b1.ra4_e3600_r240_in1k	288	15.880	84.120	48.693	51.307	7.79	1.000	bicubic	-79.440	-50.277	-148
896	xception65.tf_in1k	299	15.880	84.120	43.480	56.520	39.92	0.903	bicubic	-77.890	-55.140	+193
897	resnet50.a1_in1k	288	15.853	84.147	45.627	54.373	25.56	1.000	bicubic	-78.947	-53.123	-30
898	resnet50.fb_ssl_yfcc100m_ft_in1k	224	15.840	84.160	49.333	50.667	25.56	0.875	bilinear	-78.650	-49.587	+52
899	edgenext_small_rw.sw_in1k	320	15.800	84.200	49.520	50.480	7.83	1.000	bicubic	-78.880	-49.060	-8
900	resnext50_32x4d.ra_in1k	288	15.733	84.267	46.920	53.080	25.03	0.950	bicubic	-78.967	-51.720	-14
901	fastvit_t12.apple_dist_in1k	256	15.627	84.373	47.640	52.360	7.55	0.900	bicubic	-78.993	-50.920	+14
902	resnet50.c1_in1k	288	15.613	84.387	47.107	52.893	25.56	1.000	bicubic	-79.177	-51.813	-33
903	ecaresnet26t.ra2_in1k	320	15.520	84.480	47.947	52.053	16.01	0.950	bicubic	-78.780	-50.833	+77
904	regnety_320.pycls_in1k	224	15.493	84.507	44.587	55.413	145.05	0.875	bicubic	-79.097	-54.083	+15
905	vit_base_patch32_384.augreg_in1k	384	15.493	84.507	43.733	56.267	88.30	1.000	bicubic	-78.147	-54.937	+199
906	coat_tiny.in1k	224	15.467	84.533	45.600	54.400	5.50	0.900	bicubic	-78.113	-52.820	+208
907	mobilenetv4_conv_blur_medium.e500_r224_in1k	256	15.440	84.560	47.960	52.040	9.72	1.000	bicubic	-79.430	-51.000	-60
908	convmixer_768_32.in1k	224	15.387	84.613	47.613	52.387	21.11	0.960	bicubic	-79.113	-51.237	+37
909	edgenext_small.usi_in1k	256	15.320	84.680	48.360	51.640	5.59	0.950	bicubic	-79.630	-50.210	-79
910	resnet50d.a2_in1k	288	15.320	84.680	44.547	55.453	25.58	1.000	bicubic	-79.270	-54.303	+10
911	resnet50.d_in1k	288	15.320	84.680	44.493	55.507	25.56	1.000	bicubic	-79.640	-54.377	-80
912	ecaresnetlight.miil_in1k	224	15.227	84.773	45.600	54.400	30.16	0.875	bicubic	-79.533	-53.260	-37
913	cs3darknet_l.c2ns_in1k	256	15.213	84.787	48.640	51.360	21.16	0.887	bicubic	-79.337	-50.140	+18
914	resnext50d_32x4d.bt_in1k	288	15.213	84.787	45.933	54.067	25.05	0.950	bicubic	-79.327	-52.757	+20
915	skresnext50_32x4d.ra_in1k	224	15.187	84.813	44.560	55.440	27.48	0.875	bicubic	-79.073	-53.910	+76
916	repvit_m1_0.dist_450e_in1k	224	15.027	84.973	46.653	53.347	7.30	0.950	bicubic	-79.513	-52.227	+16
917	fastvit_s12.apple_in1k	256	15.027	84.973	45.000	55.000	9.47	0.900	bicubic	-79.193	-53.640	+82
918	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	256	15.027	84.973	42.333	57.667	119.42	0.900	bicubic	-78.723	-55.767	+173
919	seresnet33ts.ra2_in1k	288	15.013	84.987	47.067	52.933	19.78	1.000	bicubic	-80.027	-51.773	-113
920	resnext50_32x4d.a2_in1k	288	15.013	84.987	45.080	54.920	25.03	1.000	bicubic	-79.547	-53.560	+11
921	efficientvit_b1.r288_in1k	288	15.000	85.000	46.333	53.667	9.10	1.000	bicubic	-79.480	-52.457	+31
922	eca_resnet33ts.ra2_in1k	288	14.987	85.013	48.600	51.400	19.68	1.000	bicubic	-79.663	-50.260	-21
923	hgnetv2_b2.ssld_stage1_in22k_in1k	224	14.947	85.053	48.347	51.653	11.22	0.965	bicubic	-80.273	-50.533	-156
924	vit_base_patch16_224.augreg_in1k	224	14.907	85.093	41.893	58.107	86.57	0.900	bicubic	-78.723	-56.347	+181
925	cait_xxs24_224.fb_dist_in1k	224	14.880	85.120	44.533	55.467	11.96	1.000	bicubic	-78.700	-53.907	+188
926	regnetz_b16.ra3_in1k	224	14.827	85.173	45.800	54.200	9.72	0.940	bicubic	-79.733	-53.080	+3
927	levit_192.fb_dist_in1k	224	14.693	85.307	44.640	55.360	10.95	0.900	bicubic	-79.487	-53.900	+80
928	levit_conv_192.fb_dist_in1k	224	14.680	85.320	44.653	55.347	10.95	0.900	bicubic	-79.500	-53.887	+80
929	res2net50d.in1k	224	14.653	85.347	44.400	55.600	25.72	0.875	bilinear	-79.647	-53.960	+53
930	seresnet50.a2_in1k	288	14.653	85.347	44.147	55.853	28.09	1.000	bicubic	-80.027	-54.633	-38
931	poolformerv2_s24.sail_in1k	224	14.640	85.360	45.973	54.027	21.34	1.000	bicubic	-80.010	-52.857	-28
932	convnextv2_pico.fcmae_ft_in1k	224	14.627	85.373	45.840	54.160	9.07	0.875	bicubic	-79.833	-52.780	+23
933	gcresnet33ts.ra2_in1k	288	14.573	85.427	46.013	53.987	19.88	1.000	bicubic	-80.347	-52.767	-97
934	repvit_m1_1.dist_300e_in1k	224	14.547	85.453	46.800	53.200	8.80	0.950	bicubic	-80.213	-52.180	-61
935	cs3darknet_focus_l.c2ns_in1k	256	14.480	85.520	46.507	53.493	21.15	0.887	bicubic	-80.180	-52.303	-37
936	darknet53.c2ns_in1k	288	14.440	85.560	46.813	53.187	41.61	1.000	bicubic	-80.180	-51.967	-23
937	efficientnet_el_pruned.in1k	300	14.413	85.587	45.827	54.173	10.59	0.904	bicubic	-79.967	-52.733	+30
938	coat_lite_mini.in1k	224	14.400	85.600	44.533	55.467	11.01	0.900	bicubic	-79.650	-53.707	+95
939	rexnet_150.nav_in1k	224	14.373	85.627	46.440	53.560	9.73	0.875	bicubic	-80.107	-52.110	+12
940	resnet50.tv2_in1k	224	14.333	85.667	46.747	53.253	25.56	0.965	bilinear	-80.327	-52.033	-41
941	resnext50_32x4d.a1h_in1k	224	14.320	85.680	44.000	56.000	25.03	0.950	bicubic	-80.220	-54.600	-6
942	efficientnet_b2.ra_in1k	288	14.307	85.693	45.827	54.173	9.11	1.000	bicubic	-80.313	-52.973	-24
943	seresnet33ts.ra2_in1k	256	14.280	85.720	45.840	54.160	19.78	0.900	bicubic	-80.580	-52.880	-92
944	darknetaa53.c2ns_in1k	288	14.120	85.880	44.880	55.120	36.02	1.000	bilinear	-80.400	-53.790	-1
945	poolformer_s24.sail_in1k	224	14.107	85.893	47.040	52.960	21.39	0.900	bicubic	-80.473	-51.620	-23
946	repvit_m2.dist_in1k	224	14.053	85.947	46.320	53.680	8.80	0.950	bicubic	-80.697	-52.380	-68
947	seresnet50.ra2_in1k	224	14.053	85.947	45.413	54.587	28.09	0.875	bicubic	-80.517	-53.387	-19
948	pvt_v2_b1.in1k	224	14.027	85.973	47.360	52.640	14.01	0.900	bicubic	-79.793	-51.300	+129
949	mobilevitv2_125.cvnets_in1k	256	14.000	86.000	44.280	55.720	7.48	0.888	bicubic	-79.990	-54.300	+100
950	eca_resnet33ts.ra2_in1k	256	13.987	86.013	47.027	52.973	19.68	0.900	bicubic	-80.213	-51.313	+50
951	gernet_m.idstcv_in1k	224	13.973	86.027	45.893	54.107	21.14	0.875	bilinear	-80.677	-52.597	-49
952	fbnetv3_d.ra2_in1k	256	13.920	86.080	46.040	53.960	10.31	0.950	bilinear	-79.990	-52.700	+108
953	resnet101.a2_in1k	224	13.907	86.093	42.960	57.040	44.55	0.950	bicubic	-80.793	-55.800	-65
954	legacy_seresnext101_32x4d.in1k	224	13.867	86.133	42.587	57.413	48.96	0.875	bilinear	-80.503	-55.893	+15
955	resnext101_32x4d.gluon_in1k	224	13.667	86.333	41.467	58.533	44.18	0.875	bicubic	-80.863	-57.053	-16
956	gcresnet33ts.ra2_in1k	256	13.640	86.360	44.813	55.187	19.88	0.900	bicubic	-80.860	-53.967	-9
957	mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k	256	13.627	86.373	45.427	54.573	8.46	0.950	bicubic	-81.333	-53.643	-129
958	edgenext_small_rw.sw_in1k	256	13.600	86.400	45.907	54.093	7.83	0.900	bicubic	-80.330	-52.643	+98
959	mobilenetv4_conv_medium.e500_r256_in1k	256	13.600	86.400	44.893	55.107	9.72	0.950	bicubic	-80.700	-53.637	+19
960	dpn68b.ra_in1k	288	13.600	86.400	39.867	60.133	12.61	1.000	bicubic	-80.380	-58.673	+92
961	mobilenet_edgetpu_v2_m	256	13.587	86.413	45.427	54.573	8.46	0.950	bicubic	-81.373	-53.383	-132
962	efficientnet_b2.ra_in1k	256	13.587	86.413	44.200	55.800	9.11	0.875	bicubic	-80.423	-54.280	+83
963	fastvit_t12.apple_in1k	256	13.587	86.413	43.253	56.747	7.55	0.900	bicubic	-80.403	-55.307	+87
964	hgnet_tiny.paddle_in1k	224	13.573	86.427	44.000	56.000	14.74	0.965	bicubic	-80.717	-54.750	+20
965	pit_xs_distilled_224.in1k	224	13.507	86.493	45.107	54.893	11.00	0.900	bicubic	-80.263	-53.313	+121
966	wide_resnet101_2.tv2_in1k	176	13.453	86.547	40.907	59.093	126.89	0.875	bilinear	-81.017	-57.873	-12
967	darknet53.c2ns_in1k	256	13.440	86.560	44.720	55.280	41.61	0.887	bicubic	-80.870	-54.140	+9
968	seresnext50_32x4d.gluon_in1k	224	13.440	86.560	43.440	56.560	27.56	0.875	bicubic	-80.920	-55.180	+3
969	resmlp_36_224.fb_in1k	224	13.427	86.573	46.253	53.747	44.69	0.875	bicubic	-80.773	-52.407	+33
970	ecaresnet50t.a2_in1k	224	13.400	86.600	42.493	57.507	25.57	0.950	bicubic	-81.100	-56.147	-22
971	mobilenetv4_conv_medium.e500_r224_in1k	256	13.373	86.627	45.067	54.933	9.72	1.000	bicubic	-81.387	-53.863	-97
972	eca_botnext26ts_256.c1_in1k	256	13.360	86.640	42.267	57.733	10.59	0.950	bicubic	-80.450	-56.233	+108
973	resnet50_gn.a1h_in1k	224	13.333	86.667	42.773	57.227	25.56	0.940	bicubic	-80.997	-55.927	0
974	repvgg_b2g4.rvgg_in1k	224	13.240	86.760	43.440	56.560	61.76	0.875	bilinear	-80.630	-54.950	+93
975	resnet152.a3_in1k	224	13.240	86.760	42.773	57.227	60.19	0.950	bicubic	-81.480	-55.917	-92
976	regnetx_320.pycls_in1k	224	13.173	86.827	40.280	59.720	107.81	0.875	bicubic	-81.267	-58.450	-18
977	resnet50.b1k_in1k	288	13.147	86.853	43.773	56.227	25.56	1.000	bicubic	-81.713	-54.907	-125
978	ese_vovnet39b.ra_in1k	224	13.133	86.867	43.733	56.267	24.57	0.875	bicubic	-80.967	-54.947	+46
979	visformer_tiny.in1k	224	13.133	86.867	43.573	56.427	10.32	0.900	bicubic	-80.457	-55.127	+133
980	resnet50d.a1_in1k	224	13.133	86.867	41.227	58.773	25.58	0.950	bicubic	-81.167	-57.513	+3
981	vit_small_patch16_224.augreg_in1k	224	13.067	86.933	40.987	59.013	22.05	0.900	bicubic	-80.833	-57.643	+83
982	cspresnext50.ra_in1k	256	13.040	86.960	45.053	54.947	20.57	0.887	bilinear	-81.790	-53.857	-117
983	efficientnet_b3_pruned.in1k	300	13.027	86.973	44.893	55.107	9.86	0.904	bicubic	-81.593	-54.007	-66
984	mobilevit_s.cvnets_in1k	256	13.013	86.987	40.827	59.173	5.58	0.900	bicubic	-80.197	-57.643	+181
985	mixnet_xl.ra_in1k	224	12.973	87.027	43.133	56.867	11.90	0.875	bicubic	-81.227	-55.507	+20
986	efficientformerv2_s1.snap_dist_in1k	224	12.960	87.040	42.400	57.600	6.19	0.950	bicubic	-81.140	-56.270	+37
987	nf_regnet_b1.ra2_in1k	288	12.907	87.093	43.907	56.093	10.22	0.900	bicubic	-81.243	-54.833	+32
988	efficientformer_l1.snap_dist_in1k	224	12.893	87.107	45.147	54.853	12.29	0.950	bicubic	-81.607	-53.673	-42
989	eca_halonext26ts.c1_in1k	256	12.893	87.107	42.200	57.800	10.76	0.940	bicubic	-81.157	-56.300	+45
990	resnext50_32x4d.a1_in1k	224	12.893	87.107	40.813	59.187	25.03	0.950	bicubic	-81.177	-57.387	+39
991	resnet101d.gluon_in1k	224	12.773	87.227	41.333	58.667	44.57	0.875	bicubic	-81.477	-57.217	+1
992	regnetx_016.tv2_in1k	224	12.720	87.280	45.173	54.827	9.19	0.965	bicubic	-81.450	-53.567	+17
993	repvit_m1_0.dist_300e_in1k	224	12.720	87.280	44.187	55.813	7.30	0.950	bicubic	-81.610	-54.453	-21
994	pit_xs_224.in1k	224	12.707	87.293	42.600	57.400	10.62	0.900	bicubic	-80.413	-55.710	+184
995	hgnetv2_b1.ssld_stage2_ft_in1k	288	12.600	87.400	46.733	53.267	6.34	1.000	bicubic	-81.970	-52.027	-69
996	resnetblur50.bt_in1k	288	12.573	87.427	44.280	55.720	25.56	0.950	bicubic	-81.897	-54.400	-43
997	resnet50.b2k_in1k	288	12.560	87.440	43.760	56.240	25.56	1.000	bicubic	-82.150	-55.260	-113
998	tf_efficientnet_b3.in1k	300	12.560	87.440	43.213	56.787	12.23	0.904	bicubic	-82.080	-55.557	-88
999	crossvit_9_dagger_240.in1k	240	12.560	87.440	41.387	58.613	8.78	0.875	bicubic	-80.380	-56.823	+201
1000	resnext50_32x4d.tv2_in1k	224	12.533	87.467	42.853	57.147	25.03	0.965	bilinear	-82.087	-55.857	-84
1001	inception_v3.gluon_in1k	299	12.533	87.467	40.213	59.787	23.83	0.875	bicubic	-80.957	-58.327	+128
1002	resmlp_24_224.fb_in1k	224	12.467	87.533	43.413	56.587	30.02	0.875	bicubic	-81.553	-55.197	+41
1003	tresnet_m.miil_in1k	224	12.467	87.533	41.707	58.293	31.39	0.875	bilinear	-82.153	-57.043	-83
1004	wide_resnet50_2.tv2_in1k	176	12.453	87.547	43.467	56.533	68.88	0.875	bilinear	-81.747	-55.173	-3
1005	efficientnet_b1.ra4_e3600_r240_in1k	240	12.427	87.573	43.933	56.067	7.79	0.900	bicubic	-82.413	-54.687	-147
1006	efficientvit_b1.r256_in1k	256	12.427	87.573	41.840	58.160	9.10	1.000	bicubic	-81.613	-56.700	+33
1007	darknetaa53.c2ns_in1k	256	12.413	87.587	42.760	57.240	36.02	0.887	bilinear	-81.487	-55.870	+55
1008	regnety_120.pycls_in1k	224	12.387	87.613	41.840	58.160	51.82	0.875	bicubic	-82.133	-57.120	-66
1009	ecaresnet26t.ra2_in1k	256	12.253	87.747	42.640	57.360	16.01	0.875	bicubic	-81.587	-56.010	+64
1010	coat_lite_tiny.in1k	224	12.253	87.747	41.080	58.920	5.72	0.900	bicubic	-81.007	-57.310	+153
1011	resnet50.a1h_in1k	224	12.240	87.760	43.707	56.293	25.56	1.000	bicubic	-82.530	-54.973	-140
1012	convnext_femto_ols.d1_in1k	288	12.240	87.760	43.507	56.493	5.23	0.950	bicubic	-81.660	-54.953	+49
1013	mobilenetv4_conv_blur_medium.e500_r224_in1k	224	12.227	87.773	42.987	57.013	9.72	0.950	bicubic	-82.063	-55.813	-28
1014	resnetaa50.a1h_in1k	224	12.213	87.787	42.360	57.640	25.56	0.950	bicubic	-82.417	-56.520	-102
1015	regnety_160.pycls_in1k	224	12.187	87.813	41.133	58.867	83.59	0.875	bicubic	-82.193	-57.697	-49
1016	resnet50.a2_in1k	288	12.053	87.947	40.093	59.907	25.56	1.000	bicubic	-82.597	-58.797	-112
1017	efficientnet_em.ra2_in1k	240	11.987	88.013	43.640	56.360	6.90	0.882	bicubic	-81.853	-55.170	+54
1018	resnet101s.gluon_in1k	224	11.987	88.013	40.800	59.200	44.67	0.875	bicubic	-82.753	-58.020	-137
1019	hgnetv2_b1.ssld_stage1_in22k_in1k	288	11.960	88.040	45.333	54.667	6.34	1.000	bicubic	-82.620	-53.547	-96
1020	convnext_pico.d1_in1k	224	11.947	88.053	43.453	56.547	9.05	0.875	bicubic	-82.113	-55.037	+10
1021	hrnet_w64.ms_in1k	224	11.920	88.080	40.773	59.227	128.06	0.875	bilinear	-82.100	-57.557	+22
1022	resnetrs101.tf_in1k	192	11.920	88.080	38.707	61.293	63.62	0.940	bicubic	-82.780	-60.003	-135
1023	resnet101.a3_in1k	224	11.787	88.213	40.280	59.720	44.55	0.950	bicubic	-82.263	-58.190	+9
1024	xcit_tiny_12_p16_224.fb_dist_in1k	224	11.747	88.253	39.853	60.147	6.72	1.000	bicubic	-81.653	-58.357	+117
1025	resnet50d.ra2_in1k	224	11.733	88.267	42.200	57.800	25.58	0.875	bicubic	-82.567	-56.520	-46
1026	xception41.tf_in1k	299	11.707	88.293	38.707	61.293	26.97	0.903	bicubic	-81.713	-59.703	+112
1027	nf_resnet50.ra2_in1k	288	11.693	88.307	45.347	54.653	25.56	0.940	bicubic	-82.927	-53.463	-114
1028	cspdarknet53.ra_in1k	256	11.693	88.307	43.240	56.760	27.64	0.887	bilinear	-82.977	-55.560	-135
1029	ecaresnet50t.a3_in1k	224	11.693	88.307	40.907	59.093	25.57	0.950	bicubic	-82.707	-57.763	-64
1030	efficientnet_b0.ra4_e3600_r224_in1k	256	11.640	88.360	40.907	59.093	5.29	1.000	bicubic	-82.230	-57.693	+39
1031	gmixer_24_224.ra3_in1k	224	11.627	88.373	37.267	62.733	24.72	0.875	bicubic	-81.243	-60.623	+175
1032	convnextv2_femto.fcmae_ft_in1k	288	11.600	88.400	40.600	59.400	5.23	0.950	bicubic	-82.600	-58.170	-29
1033	vit_small_patch32_224.augreg_in21k_ft_in1k	224	11.587	88.413	39.533	60.467	22.88	0.900	bicubic	-80.493	-58.717	+251
1034	fbnetv3_b.ra2_in1k	256	11.560	88.440	44.067	55.933	8.60	0.950	bilinear	-82.440	-54.563	+13
1035	botnet26t_256.c1_in1k	256	11.507	88.493	39.760	60.240	12.49	0.950	bicubic	-82.013	-58.670	+86
1036	dla102x2.in1k	224	11.453	88.547	41.133	58.867	41.28	0.875	bilinear	-82.557	-57.327	+9
1037	resnet50.ra_in1k	288	11.440	88.560	41.147	58.853	25.56	0.950	bicubic	-82.780	-57.423	-42
1038	seresnet50.a1_in1k	224	11.400	88.600	39.107	60.893	28.09	0.950	bicubic	-82.630	-59.313	+4
1039	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
1040	regnety_080.pycls_in1k	224	11.373	88.627	40.733	59.267	39.18	0.875	bicubic	-82.807	-57.947	-35
1041	efficientvit_b1.r224_in1k	224	11.373	88.627	39.973	60.027	9.10	0.950	bicubic	-82.147	-58.357	+80
1042	levit_128.fb_dist_in1k	224	11.360	88.640	39.747	60.253	9.21	0.900	bicubic	-82.030	-58.863	+104
1043	mobilenet_edgetpu_v2_m	224	11.347	88.653	42.013	57.987	8.46	0.900	bicubic	-82.953	-56.577	-62
1044	mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k	224	11.320	88.680	42.120	57.880	8.46	0.900	bicubic	-83.000	-56.460	-69
1045	resnet152.tv2_in1k	176	11.320	88.680	38.067	61.933	60.19	0.875	bilinear	-82.770	-60.473	-19
1046	fbnetv3_d.ra2_in1k	224	11.307	88.693	41.053	58.947	10.31	0.950	bilinear	-82.133	-57.577	+87
1047	levit_conv_128.fb_dist_in1k	224	11.293	88.707	39.720	60.280	9.21	0.900	bicubic	-82.077	-58.660	+100
1048	efficientnet_b2_pruned.in1k	260	11.280	88.720	41.840	58.160	8.31	0.890	bicubic	-82.860	-56.670	-29
1049	lambda_resnet26t.c1_in1k	256	11.280	88.720	39.973	60.027	10.96	0.940	bicubic	-82.590	-58.637	+20
1050	tf_efficientnet_el.in1k	300	11.253	88.747	41.440	58.560	10.59	0.904	bicubic	-83.147	-57.160	-88
1051	seresnext26t_32x4d.bt_in1k	288	11.187	88.813	40.747	59.253	16.81	0.950	bicubic	-82.383	-57.653	+65
1052	tf_efficientnetv2_b3.in1k	240	11.187	88.813	39.160	60.840	14.36	0.904	bicubic	-83.393	-59.680	-127
1053	dpn92.mx_in1k	224	11.120	88.880	39.440	60.560	37.67	0.875	bicubic	-83.160	-59.310	-66
1054	convnext_femto.d1_in1k	288	11.107	88.893	42.560	57.440	5.22	0.950	bicubic	-82.813	-55.710	+3
1055	tf_efficientnet_b0.ns_jft_in1k	224	11.093	88.907	39.907	60.093	5.29	0.875	bicubic	-82.597	-58.723	+41
1056	mobilenetv4_conv_medium.e500_r224_in1k	224	11.067	88.933	40.480	59.520	9.72	0.950	bicubic	-83.143	-58.220	-57
1057	resnet152c.gluon_in1k	224	11.053	88.947	36.787	63.213	60.21	0.875	bicubic	-83.107	-61.843	-45
1058	ecaresnet50d_pruned.miil_in1k	224	11.027	88.973	42.053	57.947	19.94	0.875	bicubic	-83.233	-56.647	-69
1059	mobilevitv2_100.cvnets_in1k	256	11.027	88.973	40.133	59.867	4.90	0.888	bicubic	-82.263	-58.117	+101
1060	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	+181
1061	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	384	10.933	89.067	39.427	60.573	6.36	1.000	bicubic	-81.117	-58.863	+224
1062	inception_v3.tf_adv_in1k	299	10.933	89.067	36.760	63.240	23.83	0.875	bicubic	-81.967	-61.450	+143
1063	resnet50d.ra4_e3600_r224_in1k	224	10.893	89.107	40.387	59.613	25.58	0.950	bicubic	-83.737	-58.193	-152
1064	hrnet_w48.ms_in1k	224	10.893	89.107	39.973	60.027	77.47	0.875	bilinear	-83.047	-58.627	-9
1065	tf_efficientnetv2_b2.in1k	260	10.840	89.160	39.413	60.587	10.10	0.890	bicubic	-83.590	-59.287	-105
1066	halonet26t.a1h_in1k	256	10.840	89.160	38.627	61.373	12.48	0.950	bicubic	-83.210	-59.903	-31
1067	regnety_008_tv.tv2_in1k	224	10.827	89.173	40.613	59.387	6.43	0.965	bicubic	-82.863	-57.877	+29
1068	inception_v3.tf_in1k	299	10.827	89.173	36.507	63.493	23.83	0.875	bicubic	-82.523	-62.043	+83
1069	nf_regnet_b1.ra2_in1k	256	10.813	89.187	40.413	59.587	10.22	0.900	bicubic	-82.607	-57.807	+68
1070	mobileone_s4.apple_in1k	224	10.787	89.213	38.453	61.547	14.95	0.900	bilinear	-82.983	-59.797	+18
1071	dpn107.mx_in1k	224	10.747	89.253	38.040	61.960	86.92	0.875	bicubic	-83.623	-60.600	-101
1072	resnet50.c2_in1k	224	10.733	89.267	39.000	61.000	25.56	0.950	bicubic	-83.547	-59.660	-83
1073	resnetv2_50.a1h_in1k	224	10.720	89.280	39.267	60.733	25.55	0.950	bicubic	-83.730	-59.443	-116
1074	resnet34d.ra2_in1k	288	10.707	89.293	38.987	61.013	21.82	0.950	bicubic	-82.943	-59.523	+26
1075	convnext_pico_ols.d1_in1k	224	10.693	89.307	40.560	59.440	9.06	0.950	bicubic	-83.347	-57.810	-38
1076	resnext50_32x4d.ra_in1k	224	10.667	89.333	40.227	59.773	25.03	0.875	bicubic	-83.443	-58.103	-54
1077	xcit_nano_12_p8_224.fb_dist_in1k	224	10.640	89.360	37.987	62.013	3.05	1.000	bicubic	-81.480	-60.183	+202
1078	seresnext26d_32x4d.bt_in1k	288	10.627	89.373	40.960	59.040	16.81	0.950	bicubic	-82.813	-57.480	+57
1079	resnext50d_32x4d.bt_in1k	224	10.533	89.467	39.373	60.627	25.05	0.875	bicubic	-83.687	-59.217	-83
1080	tf_efficientnet_b2.ap_in1k	260	10.427	89.573	39.720	60.280	9.11	0.890	bicubic	-84.073	-58.920	-131
1081	repvit_m0_9.dist_450e_in1k	224	10.347	89.653	40.027	59.973	5.49	0.950	bicubic	-83.263	-58.483	+27
1082	dpn131.mx_in1k	224	10.347	89.653	36.653	63.347	79.25	0.875	bicubic	-83.683	-61.867	-42
1083	hrnet_w44.ms_in1k	224	10.320	89.680	39.320	60.680	67.06	0.875	bilinear	-83.270	-59.380	+28
1084	densenetblur121d.ra_in1k	288	10.307	89.693	39.520	60.480	8.00	0.950	bicubic	-82.323	-58.740	+152
1085	rexnet_130.nav_in1k	224	10.293	89.707	41.467	58.533	7.56	0.875	bicubic	-83.627	-56.933	-27
1086	convnextv2_femto.fcmae_ft_in1k	224	10.293	89.707	38.533	61.467	5.23	0.875	bicubic	-83.097	-59.957	+59
1087	xcit_nano_12_p8_224.fb_in1k	224	10.213	89.787	37.173	62.827	3.05	1.000	bicubic	-80.747	-60.587	+254
1088	resnext101_32x8d.tv_in1k	224	10.133	89.867	37.733	62.267	88.79	0.875	bilinear	-83.677	-60.667	-9
1089	seresnet50.a2_in1k	224	10.107	89.893	38.413	61.587	28.09	0.950	bicubic	-83.853	-60.217	-35
1090	resnet101.tv2_in1k	176	10.093	89.907	37.253	62.747	44.55	0.875	bilinear	-83.697	-61.197	-6
1091	resnetrs50.tf_in1k	224	10.080	89.920	37.267	62.733	35.69	0.910	bicubic	-84.210	-61.373	-105
1092	regnetx_160.pycls_in1k	224	10.040	89.960	37.773	62.227	54.28	0.875	bicubic	-84.120	-60.967	-82
1093	regnety_064.pycls_in1k	224	10.027	89.973	38.960	61.040	30.58	0.875	bicubic	-84.133	-59.630	-82
1094	lambda_resnet26rpt_256.c1_in1k	256	10.027	89.973	37.560	62.440	10.99	0.940	bicubic	-83.703	-60.930	-1
1095	dpn98.mx_in1k	224	9.987	90.013	35.973	64.027	61.57	0.875	bicubic	-84.173	-62.747	-81
1096	resnet50.a1_in1k	224	9.973	90.027	38.000	62.000	25.56	0.950	bicubic	-84.437	-60.430	-135
1097	resnet33ts.ra2_in1k	288	9.960	90.040	39.293	60.707	19.68	1.000	bicubic	-84.200	-59.167	-84
1098	efficientnet_b1.ft_in1k	256	9.947	90.053	37.307	62.693	7.79	1.000	bicubic	-83.333	-60.933	+63
1099	legacy_xception.tf_in1k	299	9.933	90.067	37.880	62.120	22.86	0.897	bicubic	-83.537	-60.650	+31
1100	resnext50_32x4d.a3_in1k	224	9.907	90.093	37.613	62.387	25.03	0.950	bicubic	-83.743	-60.957	+1
1101	legacy_seresnext50_32x4d.in1k	224	9.893	90.107	38.960	61.040	27.56	0.875	bilinear	-83.837	-59.630	-9
1102	inception_v3.tv_in1k	299	9.893	90.107	35.040	64.960	23.83	0.875	bicubic	-82.887	-62.910	+113
1103	efficientnet_b0.ra4_e3600_r224_in1k	224	9.880	90.120	38.120	61.880	5.29	0.900	bicubic	-83.360	-60.250	+61
1104	resnext50_32x4d.a2_in1k	224	9.840	90.160	37.067	62.933	25.03	0.950	bicubic	-84.210	-61.583	-68
1105	resnet152.gluon_in1k	224	9.747	90.253	35.920	64.080	60.19	0.875	bicubic	-84.413	-62.690	-89
1106	tf_efficientnet_b2.aa_in1k	260	9.680	90.320	38.880	61.120	9.11	0.890	bicubic	-84.720	-59.830	-142
1107	resnet50.c1_in1k	224	9.640	90.360	37.547	62.453	25.56	0.950	bicubic	-84.390	-61.163	-67
1108	tf_efficientnet_cc_b1_8e.in1k	240	9.613	90.387	36.960	63.040	39.72	0.882	bicubic	-84.307	-61.570	-49
1109	tf_efficientnet_lite3.in1k	300	9.587	90.413	39.147	60.853	8.20	0.904	bilinear	-84.613	-59.533	-105
1110	resnet50d.a2_in1k	224	9.560	90.440	37.680	62.320	25.58	0.950	bicubic	-84.540	-60.800	-85
1111	hgnetv2_b1.ssld_stage2_ft_in1k	224	9.547	90.453	39.613	60.387	6.34	0.965	bicubic	-84.333	-59.037	-46
1112	fbnetv3_b.ra2_in1k	224	9.493	90.507	38.840	61.160	8.60	0.950	bilinear	-83.807	-59.590	+46
1113	res2net101_26w_4s.in1k	224	9.427	90.573	34.427	65.573	45.21	0.875	bilinear	-84.323	-63.933	-23
1114	resnet50.ram_in1k	288	9.413	90.587	35.373	64.627	25.56	0.950	bicubic	-85.107	-63.387	-170
1115	cspresnet50.ra_in1k	256	9.360	90.640	39.667	60.333	21.62	0.887	bilinear	-84.440	-58.953	-33
1116	nf_resnet50.ra2_in1k	256	9.320	90.680	40.347	59.653	25.56	0.940	bicubic	-84.830	-58.343	-99
1117	resnet50.tv2_in1k	176	9.320	90.680	38.787	61.213	25.56	0.875	bilinear	-84.470	-59.603	-34
1118	resnet50.d_in1k	224	9.280	90.720	35.533	64.467	25.56	0.950	bicubic	-84.780	-62.897	-87
1119	legacy_seresnet152.in1k	224	9.253	90.747	37.040	62.960	66.82	0.875	bilinear	-84.187	-61.320	+15
1120	resnet34.a1_in1k	288	9.253	90.747	34.533	65.467	21.80	1.000	bicubic	-83.847	-63.957	+61
1121	hrnet_w40.ms_in1k	224	9.187	90.813	36.600	63.400	57.56	0.875	bilinear	-84.323	-61.760	+2
1122	repvit_m0_9.dist_300e_in1k	224	9.173	90.827	38.347	61.653	5.49	0.950	bicubic	-84.257	-60.383	+14
1123	regnetx_120.pycls_in1k	224	9.093	90.907	36.907	63.093	46.11	0.875	bicubic	-85.147	-61.743	-129
1124	dpn68b.ra_in1k	224	9.080	90.920	33.707	66.293	12.61	0.950	bicubic	-84.320	-64.793	+18
1125	vit_tiny_patch16_224.augreg_in21k_ft_in1k	224	9.053	90.947	34.160	65.840	5.72	0.900	bicubic	-82.717	-63.780	+182
1126	resnet32ts.ra2_in1k	288	9.040	90.960	38.107	61.893	17.96	1.000	bicubic	-84.790	-60.553	-53
1127	resnext50_32x4d.gluon_in1k	224	9.040	90.960	36.213	63.787	25.03	0.875	bicubic	-84.790	-62.197	-51
1128	regnety_040.pycls_in1k	224	9.013	90.987	37.147	62.853	20.65	0.875	bicubic	-84.867	-61.563	-62
1129	vit_base_patch16_224.sam_in1k	224	9.013	90.987	36.053	63.947	86.57	0.900	bicubic	-85.137	-62.577	-111
1130	resnest26d.gluon_in1k	224	9.000	91.000	37.533	62.467	17.07	0.875	bilinear	-84.390	-60.847	+14
1131	resnet33ts.ra2_in1k	256	8.973	91.027	38.227	61.773	19.68	0.900	bicubic	-84.637	-60.293	-23
1132	crossvit_tiny_240.in1k	240	8.960	91.040	34.333	65.667	7.01	0.875	bicubic	-81.270	-63.257	+234
1133	bat_resnext26ts.ch_in1k	256	8.920	91.080	36.000	64.000	10.73	0.900	bicubic	-84.400	-62.350	+23
1134	mixnet_l.ft_in1k	224	8.867	91.133	36.253	63.747	7.33	0.875	bicubic	-84.553	-62.007	+6
1135	seresnext26d_32x4d.bt_in1k	224	8.840	91.160	36.467	63.533	16.81	0.875	bicubic	-83.890	-61.793	+90
1136	gcresnext26ts.ch_in1k	288	8.813	91.187	36.733	63.267	10.48	1.000	bicubic	-84.377	-61.557	+33
1137	hgnetv2_b0.ssld_stage1_in22k_in1k	288	8.800	91.200	39.160	60.840	6.00	1.000	bicubic	-84.790	-59.350	-27
1138	efficientvit_m5.r224_in1k	224	8.800	91.200	34.440	65.560	12.47	0.875	bicubic	-83.640	-63.550	+116
1139	seresnext26t_32x4d.bt_in1k	224	8.787	91.213	36.560	63.440	16.81	0.875	bicubic	-84.053	-61.790	+68
1140	rexnet_100.nav_in1k	224	8.787	91.213	36.227	63.773	4.80	0.875	bicubic	-84.243	-62.083	+49
1141	hgnetv2_b1.ssld_stage1_in22k_in1k	224	8.773	91.227	38.293	61.707	6.34	0.965	bicubic	-84.867	-60.097	-39
1142	resnet50d.a3_in1k	224	8.773	91.227	36.600	63.400	25.58	0.950	bicubic	-84.747	-61.720	-24
1143	hrnet_w18.ms_aug_in1k	224	8.707	91.293	38.987	61.013	21.30	0.950	bilinear	-84.803	-59.513	-21
1144	convit_tiny.fb_in1k	224	8.693	91.307	34.080	65.920	5.71	0.875	bicubic	-81.927	-63.660	+213
1145	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	+125
1146	hrnet_w30.ms_in1k	224	8.667	91.333	37.027	62.973	37.71	0.875	bilinear	-84.533	-61.383	+22
1147	resnet50.bt_in1k	288	8.640	91.360	38.413	61.587	25.56	0.950	bicubic	-85.670	-60.227	-170
1148	levit_128s.fb_dist_in1k	224	8.627	91.373	32.827	67.173	7.78	0.900	bicubic	-83.313	-65.303	+147
1149	levit_conv_128s.fb_dist_in1k	224	8.627	91.373	32.827	67.173	7.78	0.900	bicubic	-83.313	-65.243	+149
1150	resnet50.a1h_in1k	176	8.613	91.387	35.533	64.467	25.56	0.900	bicubic	-84.957	-62.977	-35
1151	ghostnetv2_160.in1k	224	8.587	91.413	36.533	63.467	12.39	0.875	bicubic	-84.423	-61.697	+41
1152	gcresnext26ts.ch_in1k	256	8.587	91.413	35.533	64.467	10.48	0.900	bicubic	-84.173	-62.697	+67
1153	hgnetv2_b0.ssld_stage2_ft_in1k	288	8.573	91.427	39.133	60.867	6.00	1.000	bicubic	-85.247	-59.227	-77
1154	repvit_m1.dist_in1k	224	8.547	91.453	36.800	63.200	5.49	0.950	bicubic	-84.773	-61.620	-1
1155	eca_resnext26ts.ch_in1k	288	8.547	91.453	36.427	63.573	10.30	1.000	bicubic	-84.553	-61.873	+25
1156	efficientnet_b1.ft_in1k	224	8.547	91.453	34.147	65.853	7.79	0.875	bicubic	-83.883	-64.133	+102
1157	resnet32ts.ra2_in1k	256	8.480	91.520	36.933	63.067	17.96	0.900	bicubic	-85.030	-61.667	-32
1158	dla169.in1k	224	8.453	91.547	35.960	64.040	53.39	0.875	bilinear	-84.877	-62.550	-7
1159	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	+144
1160	tf_efficientnet_b2.in1k	260	8.413	91.587	36.320	63.680	9.11	0.890	bicubic	-85.717	-62.130	-139
1161	convnext_atto_ols.a2_in1k	288	8.400	91.600	34.787	65.213	3.70	0.950	bicubic	-84.690	-63.503	+21
1162	tf_efficientnet_b1.ap_in1k	240	8.387	91.613	35.147	64.853	7.79	0.882	bicubic	-85.333	-63.213	-67
1163	resnetblur50.bt_in1k	224	8.360	91.640	37.440	62.560	25.56	0.875	bicubic	-85.620	-60.910	-112
1164	repvgg_b2.rvgg_in1k	224	8.280	91.720	36.027	63.973	89.02	0.875	bilinear	-85.220	-62.473	-37
1165	legacy_seresnet101.in1k	224	8.240	91.760	35.707	64.293	49.33	0.875	bilinear	-85.070	-62.773	-8
1166	crossvit_9_240.in1k	240	8.240	91.760	34.120	65.880	8.55	0.875	bicubic	-82.420	-63.580	+186
1167	ese_vovnet19b_dw.ra_in1k	288	8.213	91.787	37.160	62.840	6.54	0.950	bicubic	-84.957	-61.110	+4
1168	resnet50.b1k_in1k	224	8.213	91.787	35.133	64.867	25.56	0.950	bicubic	-85.817	-63.487	-126
1169	dla102x.in1k	224	8.173	91.827	36.760	63.240	26.31	0.875	bilinear	-85.327	-61.980	-41
1170	eca_resnext26ts.ch_in1k	256	8.120	91.880	35.733	64.267	10.30	0.900	bicubic	-84.510	-62.507	+65
1171	resmlp_12_224.fb_distilled_in1k	224	8.107	91.893	36.627	63.373	15.35	0.875	bicubic	-84.713	-61.503	+41
1172	cs3darknet_m.c2ns_in1k	288	7.947	92.053	36.240	63.760	9.31	0.950	bicubic	-85.403	-61.820	-24
1173	hrnet_w32.ms_in1k	224	7.933	92.067	37.253	62.747	41.23	0.875	bilinear	-85.587	-61.207	-54
1174	seresnext26ts.ch_in1k	288	7.920	92.080	35.973	64.027	10.39	1.000	bicubic	-85.060	-62.227	+20
1175	resnet50.b2k_in1k	224	7.907	92.093	35.320	64.680	25.56	0.950	bicubic	-86.183	-63.130	-148
1176	poolformerv2_s12.sail_in1k	224	7.893	92.107	34.467	65.533	11.89	1.000	bicubic	-85.067	-63.893	+22
1177	resnet101c.gluon_in1k	224	7.880	92.120	32.920	67.080	44.57	0.875	bicubic	-85.800	-65.520	-79
1178	repghostnet_200.in1k	224	7.853	92.147	36.747	63.253	9.80	0.875	bicubic	-85.657	-61.813	-54
1179	resnet26t.ra2_in1k	320	7.853	92.147	36.320	63.680	16.01	1.000	bicubic	-85.327	-62.180	-9
1180	vit_base_patch32_224.augreg_in1k	224	7.840	92.160	30.293	69.707	88.22	0.900	bicubic	-83.360	-67.087	+148
1181	resnet50d.gluon_in1k	224	7.813	92.187	34.760	65.240	25.58	0.875	bicubic	-85.977	-63.740	-97
1182	res2net50_26w_8s.in1k	224	7.813	92.187	33.053	66.947	48.40	0.875	bilinear	-85.587	-65.127	-38
1183	efficientformerv2_s0.snap_dist_in1k	224	7.800	92.200	32.947	67.053	3.60	0.950	bicubic	-84.170	-64.943	+108
1184	dla60_res2next.in1k	224	7.787	92.213	34.667	65.333	17.03	0.875	bilinear	-85.393	-63.743	-13
1185	mobilevitv2_075.cvnets_in1k	256	7.773	92.227	33.400	66.600	2.87	0.888	bicubic	-83.977	-64.460	+124
1186	convnext_femto_ols.d1_in1k	224	7.747	92.253	36.453	63.547	5.23	0.875	bicubic	-85.323	-61.827	-2
1187	fastvit_t8.apple_dist_in1k	256	7.747	92.253	34.427	65.573	4.03	0.900	bicubic	-84.793	-63.603	+60
1188	tf_efficientnetv2_b1.in1k	240	7.733	92.267	34.333	65.667	8.14	0.882	bicubic	-86.227	-64.057	-135
1189	deit_tiny_distilled_patch16_224.fb_in1k	224	7.720	92.280	33.507	66.493	5.91	0.900	bicubic	-83.040	-64.063	+161
1190	regnety_032.pycls_in1k	224	7.693	92.307	34.040	65.960	19.44	0.875	bicubic	-85.747	-64.310	-58
1191	mobilevit_xs.cvnets_in1k	256	7.667	92.333	32.440	67.560	2.32	0.900	bicubic	-83.183	-65.500	+155
1192	densenetblur121d.ra_in1k	224	7.653	92.347	34.347	65.653	8.00	0.875	bicubic	-84.277	-63.633	+106
1193	convnextv2_atto.fcmae_ft_in1k	288	7.640	92.360	32.680	67.320	3.71	0.950	bicubic	-85.330	-65.460	+4
1194	convnext_atto.d2_in1k	288	7.547	92.453	34.773	65.227	3.70	0.950	bicubic	-85.223	-63.277	+24
1195	tf_efficientnetv2_b2.in1k	208	7.547	92.453	32.973	67.027	10.10	0.890	bicubic	-86.273	-65.787	-117
1196	resnext50_32x4d.tv2_in1k	176	7.533	92.467	33.680	66.320	25.03	0.875	bilinear	-86.087	-64.620	-89
1197	dla60_res2net.in1k	224	7.507	92.493	34.587	65.413	20.85	0.875	bilinear	-85.643	-63.823	-24
1198	resnet50.a2_in1k	224	7.507	92.493	33.240	66.760	25.56	0.950	bicubic	-86.343	-65.100	-127
1199	resnet152.a3_in1k	160	7.400	92.600	31.573	68.427	60.19	0.950	bicubic	-86.230	-67.027	-93
1200	regnetx_064.pycls_in1k	224	7.387	92.613	34.320	65.680	26.21	0.875	bicubic	-86.513	-64.310	-137
1201	hardcorenas_e.miil_green_in1k	224	7.373	92.627	33.360	66.640	8.07	0.875	bilinear	-85.197	-64.770	+41
1202	resnet50.ra_in1k	224	7.320	92.680	34.867	65.133	25.56	0.875	bicubic	-86.030	-63.753	-54
1203	wide_resnet101_2.tv_in1k	224	7.320	92.680	33.733	66.267	126.89	0.875	bilinear	-86.440	-64.787	-115
1204	resnet34.a2_in1k	288	7.320	92.680	31.800	68.200	21.80	1.000	bicubic	-85.430	-66.450	+21
1205	efficientnet_b1_pruned.in1k	240	7.267	92.733	34.373	65.627	6.33	0.882	bicubic	-85.523	-63.677	+9
1206	regnetx_008.tv2_in1k	224	7.227	92.773	34.173	65.827	7.26	0.965	bicubic	-85.363	-64.007	+32
1207	efficientnet_b0.ra_in1k	224	7.227	92.773	33.933	66.067	5.29	0.875	bicubic	-85.443	-64.547	+26
1208	resnet101.gluon_in1k	224	7.213	92.787	32.720	67.280	44.55	0.875	bicubic	-86.517	-65.680	-114
1209	deit_tiny_patch16_224.fb_in1k	224	7.213	92.787	30.627	69.373	5.72	0.900	bicubic	-82.477	-66.873	+170
1210	densenet121.ra_in1k	288	7.200	92.800	35.307	64.693	7.98	0.950	bicubic	-85.350	-62.883	+34
1211	tf_efficientnet_cc_b0_8e.in1k	224	7.187	92.813	31.973	68.027	24.01	0.875	bicubic	-85.643	-66.277	-2
1212	tf_efficientnet_b1.aa_in1k	240	7.160	92.840	33.027	66.973	7.79	0.882	bicubic	-86.350	-65.503	-86
1213	resnet50s.gluon_in1k	224	7.120	92.880	33.133	66.867	25.68	0.875	bicubic	-86.550	-65.327	-114
1214	edgenext_x_small.in1k	288	7.107	92.893	30.587	69.413	2.34	1.000	bicubic	-84.633	-67.003	+96
1215	tf_mixnet_l.in1k	224	7.080	92.920	31.573	68.427	7.33	0.875	bicubic	-86.210	-66.457	-55
1216	resmlp_12_224.fb_in1k	224	7.067	92.933	33.867	66.133	15.35	0.875	bicubic	-85.143	-64.283	+56
1217	convmixer_1024_20_ks9_p14.in1k	224	7.013	92.987	32.720	67.280	24.38	0.960	bicubic	-85.417	-65.100	+38
1218	seresnext26ts.ch_in1k	256	6.987	93.013	34.693	65.307	10.39	0.900	bicubic	-85.733	-63.487	+8
1219	hardcorenas_f.miil_green_in1k	224	6.973	93.027	33.947	66.053	8.20	0.875	bilinear	-85.997	-64.113	-23
1220	cs3darknet_focus_m.c2ns_in1k	288	6.960	93.040	34.387	65.613	9.30	0.950	bicubic	-86.030	-63.973	-27
1221	pit_ti_distilled_224.in1k	224	6.933	93.067	30.800	69.200	5.10	0.900	bicubic	-83.837	-66.850	+128
1222	hgnetv2_b0.ssld_stage1_in22k_in1k	224	6.827	93.173	33.587	66.413	6.00	0.965	bicubic	-85.643	-64.833	+29
1223	fastvit_t8.apple_in1k	256	6.800	93.200	33.453	66.547	4.03	0.900	bicubic	-85.360	-64.567	+53
1224	convnext_femto.d1_in1k	224	6.787	93.213	35.093	64.907	5.22	0.875	bicubic	-86.143	-63.157	-23
1225	convnextv2_atto.fcmae_ft_in1k	224	6.773	93.227	30.827	69.173	3.71	0.875	bicubic	-85.357	-66.923	+53
1226	mixnet_m.ft_in1k	224	6.707	93.293	32.040	67.960	5.01	0.875	bicubic	-85.713	-65.830	+31
1227	selecsls60b.in1k	224	6.653	93.347	33.053	66.947	32.77	0.875	bicubic	-86.677	-65.327	-76
1228	tinynet_a.in1k	192	6.653	93.347	32.707	67.293	6.19	0.875	bicubic	-85.827	-65.333	+22
1229	dpn68b.mx_in1k	224	6.653	93.347	32.600	67.400	12.61	0.875	bicubic	-86.167	-65.840	-18
1230	ghostnetv2_130.in1k	224	6.653	93.347	32.600	67.400	8.96	0.875	bicubic	-85.667	-65.470	+36
1231	efficientnet_es.ra_in1k	224	6.627	93.373	34.333	65.667	5.44	0.875	bicubic	-86.573	-64.077	-64
1232	ese_vovnet19b_dw.ra_in1k	224	6.613	93.387	33.173	66.827	6.54	0.875	bicubic	-85.667	-64.817	+35
1233	mobileone_s3.apple_in1k	224	6.600	93.400	32.000	68.000	10.17	0.900	bilinear	-86.310	-66.180	-30
1234	poolformer_s12.sail_in1k	224	6.560	93.440	34.227	65.773	11.92	0.900	bicubic	-86.090	-63.953	-1
1235	res2net50_26w_6s.in1k	224	6.547	93.453	31.493	68.507	37.05	0.875	bilinear	-86.873	-67.107	-96
1236	hardcorenas_d.miil_green_in1k	224	6.533	93.467	32.133	67.867	7.50	0.875	bilinear	-85.927	-65.897	+16
1237	legacy_seresnext26_32x4d.in1k	224	6.520	93.480	33.027	66.973	16.79	0.875	bicubic	-86.120	-65.083	-3
1238	dla60x.in1k	224	6.453	93.547	33.973	66.027	17.35	0.875	bilinear	-86.647	-64.457	-59
1239	tf_efficientnet_b1.in1k	240	6.440	93.560	32.133	67.867	7.79	0.882	bicubic	-86.650	-66.337	-56
1240	cs3darknet_m.c2ns_in1k	256	6.427	93.573	33.467	66.533	9.31	0.887	bicubic	-86.243	-64.613	-10
1241	repghostnet_150.in1k	224	6.427	93.573	32.133	67.867	6.58	0.875	bicubic	-85.943	-66.177	+22
1242	skresnet34.ra_in1k	224	6.413	93.587	31.493	68.507	22.28	0.875	bicubic	-85.967	-66.647	+18
1243	regnetx_080.pycls_in1k	224	6.400	93.600	32.307	67.693	39.57	0.875	bicubic	-87.450	-66.213	-173
1244	resnet34d.ra2_in1k	224	6.373	93.627	31.640	68.360	21.82	0.875	bicubic	-86.357	-66.530	-20
1245	hgnetv2_b0.ssld_stage2_ft_in1k	224	6.360	93.640	33.253	66.747	6.00	0.965	bicubic	-86.460	-64.897	-35
1246	regnety_004.tv2_in1k	224	6.347	93.653	30.413	69.587	4.34	0.965	bicubic	-85.273	-67.667	+69
1247	resnet50.a3_in1k	224	6.333	93.667	31.547	68.453	25.56	0.950	bicubic	-86.437	-66.623	-30
1248	repvgg_b1.rvgg_in1k	224	6.320	93.680	33.613	66.387	57.42	0.875	bilinear	-87.010	-64.657	-96
1249	ecaresnet50t.a3_in1k	160	6.280	93.720	30.360	69.640	25.57	0.950	bicubic	-86.790	-68.040	-63
1250	resnet18.fb_swsl_ig1b_ft_in1k	224	6.227	93.773	31.280	68.720	11.69	0.875	bilinear	-84.433	-66.460	+103
1251	resnet101.a3_in1k	160	6.200	93.800	28.880	71.120	44.55	0.950	bicubic	-86.840	-69.270	-64
1252	edgenext_x_small.in1k	256	6.160	93.840	29.627	70.373	2.34	0.900	bicubic	-84.980	-67.923	+82
1253	resnet26d.bt_in1k	288	6.147	93.853	32.853	67.147	16.01	0.950	bicubic	-86.343	-65.367	-5
1254	pit_ti_224.in1k	224	6.093	93.907	30.040	69.960	4.85	0.900	bicubic	-83.857	-67.400	+118
1255	legacy_seresnet50.in1k	224	6.067	93.933	32.387	67.613	28.09	0.875	bilinear	-86.913	-66.023	-60
1256	resnet152.tv_in1k	224	6.053	93.947	31.467	68.533	60.19	0.875	bilinear	-87.277	-67.133	-103
1257	tf_efficientnet_cc_b0_4e.in1k	224	6.013	93.987	29.520	70.480	13.31	0.875	bicubic	-86.617	-68.570	-20
1258	resnet26t.ra2_in1k	256	5.960	94.040	31.720	68.280	16.01	0.940	bicubic	-86.790	-66.270	-37
1259	mobilenetv1_125.ra4_e3600_r224_in1k	256	5.960	94.040	30.400	69.600	6.27	1.000	bicubic	-86.720	-67.820	-28
1260	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	+156
1261	tf_efficientnetv2_b0.in1k	224	5.907	94.093	30.787	69.213	7.14	0.875	bicubic	-87.223	-67.573	-84
1262	wide_resnet50_2.tv_in1k	224	5.880	94.120	31.867	68.133	68.88	0.875	bilinear	-87.330	-66.453	-96
1263	dla102.in1k	224	5.853	94.147	32.733	67.267	33.27	0.875	bilinear	-87.227	-65.807	-79
1264	resnet50.ram_in1k	224	5.800	94.200	29.080	70.920	25.56	0.875	bicubic	-88.010	-69.500	-183
1265	regnetx_040.pycls_in1k	224	5.787	94.213	31.213	68.787	22.12	0.875	bicubic	-87.763	-67.357	-149
1266	resnetrs50.tf_in1k	160	5.787	94.213	27.653	72.347	35.69	0.910	bicubic	-87.143	-70.607	-63
1267	convnext_atto_ols.a2_in1k	224	5.760	94.240	29.453	70.547	3.70	0.875	bicubic	-86.170	-68.647	+32
1268	selecsls60.in1k	224	5.747	94.253	32.347	67.653	30.67	0.875	bicubic	-87.283	-65.843	-80
1269	resnet50.bt_in1k	224	5.680	94.320	31.893	68.107	25.56	0.875	bicubic	-87.580	-66.377	-107
1270	regnety_016.pycls_in1k	224	5.600	94.400	30.493	69.507	11.20	0.875	bicubic	-87.540	-67.847	-95
1271	hardcorenas_c.miil_green_in1k	224	5.600	94.400	30.133	69.867	5.52	0.875	bilinear	-86.440	-67.707	+16
1272	hrnet_w18_small_v2.gluon_in1k	224	5.587	94.413	31.853	68.147	15.60	0.875	bicubic	-87.183	-66.557	-56
1273	res2next50.in1k	224	5.533	94.467	30.640	69.360	24.67	0.875	bilinear	-87.367	-67.500	-69
1274	resnext50_32x4d.a3_in1k	160	5.520	94.480	27.853	72.147	25.03	0.950	bicubic	-87.170	-70.137	-46
1275	seresnet50.a3_in1k	224	5.507	94.493	30.213	69.787	28.09	0.950	bicubic	-86.593	-67.827	+6
1276	cs3darknet_focus_m.c2ns_in1k	256	5.467	94.533	31.867	68.133	9.30	0.887	bicubic	-86.913	-66.513	-17
1277	resnet34.a1_in1k	224	5.467	94.533	27.600	72.400	21.80	0.950	bicubic	-86.643	-70.180	+3
1278	ghostnetv2_100.in1k	224	5.453	94.547	28.827	71.173	6.16	0.875	bicubic	-85.407	-68.873	+67
1279	hrnet_w18.ms_in1k	224	5.427	94.573	30.827	69.173	21.30	0.875	bilinear	-86.943	-67.233	-18
1280	tf_efficientnet_lite2.in1k	260	5.373	94.627	30.987	69.013	6.09	0.890	bicubic	-87.307	-67.253	-51
1281	resnest14d.gluon_in1k	224	5.333	94.667	28.560	71.440	10.61	0.875	bilinear	-86.387	-69.610	+32
1282	tf_efficientnet_b0.ap_in1k	224	5.307	94.693	28.853	71.147	5.29	0.875	bicubic	-86.953	-69.167	-13
1283	resnext26ts.ra2_in1k	288	5.293	94.707	29.400	70.600	10.30	1.000	bicubic	-86.867	-68.490	-8
1284	efficientvit_m4.r224_in1k	224	5.280	94.720	27.773	72.227	8.80	0.875	bicubic	-85.320	-69.817	+74
1285	tf_efficientnetv2_b1.in1k	192	5.267	94.733	28.320	71.680	8.14	0.882	bicubic	-87.873	-70.070	-109
1286	gernet_s.idstcv_in1k	224	5.253	94.747	30.013	69.987	8.17	0.875	bilinear	-86.897	-68.197	-9
1287	tf_efficientnet_em.in1k	240	5.213	94.787	30.653	69.347	6.90	0.882	bicubic	-87.737	-67.557	-88
1288	resnet34.bt_in1k	288	5.200	94.800	29.307	70.693	21.80	0.950	bicubic	-87.210	-68.843	-31
1289	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	+94
1290	tf_efficientnet_b0.aa_in1k	224	5.187	94.813	29.053	70.947	5.29	0.875	bicubic	-87.093	-69.047	-22
1291	efficientvit_m3.r224_in1k	224	5.187	94.813	27.453	72.547	6.90	0.875	bicubic	-84.693	-70.087	+85
1292	densenet121.ra_in1k	224	5.173	94.827	29.533	70.467	7.98	0.875	bicubic	-86.447	-68.377	+22
1293	repvgg_b1g4.rvgg_in1k	224	5.147	94.853	30.467	69.533	39.97	0.875	bilinear	-87.863	-67.943	-102
1294	convnext_atto.d2_in1k	224	5.120	94.880	28.880	71.120	3.70	0.875	bicubic	-86.650	-69.160	+14
1295	mobilenetv1_100h.ra4_e3600_r224_in1k	256	5.093	94.907	28.480	71.520	5.28	0.950	bicubic	-87.137	-69.520	-24
1296	res2net50_26w_4s.in1k	224	5.067	94.933	29.040	70.960	25.70	0.875	bilinear	-87.463	-69.030	-50
1297	mobilenetv3_large_100.ra_in1k	224	5.067	94.933	28.053	71.947	5.48	0.875	bicubic	-86.273	-69.647	+28
1298	tf_mixnet_m.in1k	224	5.040	94.960	28.320	71.680	5.01	0.875	bicubic	-87.300	-69.560	-35
1299	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	224	4.973	95.027	26.813	73.187	6.34	0.900	bicubic	-84.257	-70.407	+89
1300	hardcorenas_a.miil_green_in1k	224	4.960	95.040	27.947	72.053	5.26	0.875	bilinear	-86.400	-69.893	+21
1301	mixnet_s.ft_in1k	224	4.920	95.080	28.840	71.160	4.13	0.875	bicubic	-87.030	-68.840	-8
1302	mobilenetv1_125.ra4_e3600_r224_in1k	224	4.920	95.080	28.053	71.947	6.27	0.900	bicubic	-87.030	-69.977	-10
1303	regnetx_004_tv.tv2_in1k	224	4.920	95.080	27.467	72.533	5.50	0.965	bicubic	-85.710	-70.133	+55
1304	res2net50_14w_8s.in1k	224	4.893	95.107	28.347	71.653	25.06	0.875	bilinear	-87.827	-69.953	-77
1305	regnetx_032.pycls_in1k	224	4.880	95.120	29.907	70.093	15.30	0.875	bicubic	-88.260	-68.193	-131
1306	repghostnet_130.in1k	224	4.840	95.160	29.480	70.520	5.48	0.875	bicubic	-87.040	-68.450	-4
1307	tf_efficientnetv2_b0.in1k	192	4.827	95.173	26.613	73.387	7.14	0.875	bicubic	-87.463	-71.587	-41
1308	mobilenetv3_rw.rmsp_in1k	224	4.813	95.187	29.520	70.480	5.48	0.875	bicubic	-86.507	-68.110	+17
1309	hardcorenas_b.miil_green_in1k	224	4.813	95.187	27.760	72.240	5.18	0.875	bilinear	-87.027	-70.170	-4
1310	resnet50c.gluon_in1k	224	4.800	95.200	27.760	72.240	25.58	0.875	bicubic	-88.220	-70.600	-120
1311	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
1312	resnext26ts.ra2_in1k	256	4.693	95.307	28.800	71.200	10.30	0.900	bicubic	-87.147	-68.970	-9
1313	mobilenetv4_conv_small.e2400_r224_in1k	256	4.693	95.307	26.987	73.013	3.77	0.950	bicubic	-86.327	-70.683	+25
1314	resnext50_32x4d.tv_in1k	224	4.680	95.320	29.840	70.160	25.03	0.875	bilinear	-88.070	-68.420	-93
1315	selecsls42b.in1k	224	4.667	95.333	28.373	71.627	32.46	0.875	bicubic	-87.633	-69.767	-50
1316	densenet161.tv_in1k	224	4.627	95.373	29.453	70.547	28.68	0.875	bicubic	-87.953	-68.837	-76
1317	mobilenetv1_100.ra4_e3600_r224_in1k	256	4.600	95.400	27.067	72.933	4.23	0.950	bicubic	-87.490	-70.753	-34
1318	resnet101.tv_in1k	224	4.560	95.440	29.013	70.987	44.55	0.875	bilinear	-88.250	-69.217	-105
1319	mobileone_s2.apple_in1k	224	4.480	95.520	28.867	71.133	7.88	0.900	bilinear	-88.350	-69.303	-112
1320	tf_efficientnet_lite1.in1k	240	4.480	95.520	28.320	71.680	5.42	0.882	bicubic	-88.120	-69.720	-81
1321	mobilenetv2_120d.ra_in1k	224	4.467	95.533	29.107	70.893	5.83	0.875	bicubic	-88.013	-68.973	-71
1322	tf_efficientnet_b0.in1k	224	4.413	95.587	26.760	73.240	5.29	0.875	bicubic	-87.677	-71.160	-40
1323	resnet34.a2_in1k	224	4.387	95.613	24.400	75.600	21.80	0.950	bicubic	-87.343	-73.370	-12
1324	resnet50d.a3_in1k	160	4.373	95.627	26.160	73.840	25.58	0.950	bicubic	-88.067	-71.890	-71
1325	pvt_v2_b0.in1k	224	4.347	95.653	25.707	74.293	3.67	0.900	bicubic	-84.433	-71.163	+73
1326	vit_base_patch32_224.sam_in1k	224	4.307	95.693	24.307	75.693	88.22	0.900	bicubic	-85.443	-72.673	+51
1327	tinynet_b.in1k	188	4.253	95.747	26.800	73.200	3.73	0.875	bicubic	-86.657	-70.870	+16
1328	mobilenetv4_conv_small.e1200_r224_in1k	256	4.240	95.760	26.133	73.867	3.77	0.950	bicubic	-86.400	-71.377	+27
1329	mobilenetv1_100h.ra4_e3600_r224_in1k	224	4.227	95.773	25.760	74.240	5.28	0.875	bicubic	-87.153	-72.050	-9
1330	repghostnet_111.in1k	224	4.213	95.787	26.307	73.693	4.54	0.875	bicubic	-86.537	-71.153	+21
1331	fbnetc_100.rmsp_in1k	224	4.213	95.787	25.880	74.120	5.57	0.875	bilinear	-86.567	-71.340	+16
1332	edgenext_xx_small.in1k	288	4.187	95.813	23.880	76.120	1.33	1.000	bicubic	-84.683	-72.800	+64
1333	mobilenetv1_100.ra4_e3600_r224_in1k	224	4.173	95.827	25.160	74.840	4.23	0.875	bicubic	-87.007	-72.610	-3
1334	resnet50.am_in1k	224	4.133	95.867	28.360	71.640	25.56	0.875	bicubic	-89.857	-70.160	-284
1335	efficientnet_es_pruned.in1k	224	4.120	95.880	26.800	73.200	5.44	0.875	bicubic	-87.070	-70.940	-6
1336	resnet50.gluon_in1k	224	4.053	95.947	26.800	73.200	25.56	0.875	bicubic	-88.497	-71.410	-91
1337	resnet26d.bt_in1k	224	4.040	95.960	28.360	71.640	16.01	0.875	bicubic	-88.010	-69.600	-51
1338	densenet201.tv_in1k	224	3.987	96.013	27.267	72.733	20.01	0.875	bicubic	-88.773	-71.013	-118
1339	tf_mixnet_s.in1k	224	3.947	96.053	25.280	74.720	4.13	0.875	bicubic	-87.573	-72.310	-23
1340	semnasnet_100.rmsp_in1k	224	3.933	96.067	26.880	73.120	3.89	0.875	bicubic	-87.427	-70.660	-18
1341	mobilevitv2_050.cvnets_in1k	256	3.933	96.067	23.667	76.333	1.37	0.888	bicubic	-84.317	-73.303	+68
1342	resnet26.bt_in1k	288	3.907	96.093	28.133	71.867	16.00	0.950	bicubic	-88.123	-70.067	-55
1343	dpn68.mx_in1k	224	3.907	96.093	25.587	74.413	12.61	0.875	bicubic	-88.083	-72.423	-53
1344	repvgg_a2.rvgg_in1k	224	3.853	96.147	27.307	72.693	28.21	0.875	bilinear	-88.087	-70.763	-49
1345	tf_efficientnet_es.in1k	224	3.840	96.160	26.093	73.907	5.44	0.875	bicubic	-88.140	-71.767	-55
1346	semnasnet_075.rmsp_in1k	224	3.813	96.187	26.600	73.400	2.91	0.875	bicubic	-86.277	-70.810	+22
1347	resnet18.a1_in1k	288	3.813	96.187	23.000	77.000	11.69	1.000	bicubic	-85.907	-74.100	+32
1348	mobilevit_xxs.cvnets_in1k	256	3.800	96.200	22.133	77.867	1.27	0.900	bicubic	-83.360	-73.967	+69
1349	edgenext_xx_small.in1k	256	3.760	96.240	23.480	76.520	1.33	0.900	bicubic	-84.610	-73.220	+56
1350	regnety_008.pycls_in1k	224	3.747	96.253	26.867	73.133	6.26	0.875	bicubic	-87.973	-71.003	-40
1351	resnet18d.ra2_in1k	288	3.747	96.253	25.760	74.240	11.71	0.950	bicubic	-86.563	-71.800	+14
1352	resnet18.fb_ssl_yfcc100m_ft_in1k	224	3.747	96.253	25.293	74.707	11.69	0.875	bilinear	-86.503	-72.267	+14
1353	densenet169.tv_in1k	224	3.720	96.280	25.573	74.427	14.15	0.875	bicubic	-88.240	-72.517	-62
1354	mobilenetv4_conv_small.e1200_r224_in1k	224	3.720	96.280	24.467	75.533	3.77	0.875	bicubic	-86.200	-72.703	+21
1355	mobilenetv2_140.ra_in1k	224	3.653	96.347	26.467	73.533	6.11	0.875	bicubic	-88.177	-71.413	-51
1356	tf_mobilenetv3_large_100.in1k	224	3.653	96.347	24.987	75.013	5.48	0.875	bilinear	-87.567	-72.673	-30
1357	mobilenetv4_conv_small.e2400_r224_in1k	224	3.653	96.347	24.413	75.587	3.77	0.875	bicubic	-86.417	-72.867	+16
1358	dla60.in1k	224	3.640	96.360	28.013	71.987	22.04	0.875	bilinear	-88.560	-70.087	-85
1359	res2net50_48w_2s.in1k	224	3.600	96.400	26.187	73.813	25.29	0.875	bilinear	-88.960	-71.883	-116
1360	efficientvit_m2.r224_in1k	224	3.560	96.440	21.627	78.373	4.19	0.875	bicubic	-84.900	-75.283	+42
1361	efficientnet_lite0.ra_in1k	224	3.547	96.453	26.320	73.680	4.65	0.875	bicubic	-87.593	-71.320	-29
1362	repghostnet_100.in1k	224	3.547	96.453	24.293	75.707	4.07	0.875	bicubic	-86.773	-73.197	+1
1363	regnetx_016.pycls_in1k	224	3.533	96.467	26.347	73.653	9.19	0.875	bicubic	-88.647	-71.853	-92
1364	regnety_006.pycls_in1k	224	3.533	96.467	25.107	74.893	6.06	0.875	bicubic	-87.907	-72.653	-48
1365	spnasnet_100.rmsp_in1k	224	3.533	96.467	24.387	75.613	4.42	0.875	bilinear	-86.787	-72.803	0
1366	seresnet50.a3_in1k	160	3.533	96.467	22.627	77.373	28.09	0.950	bicubic	-87.467	-74.933	-25
1367	ghostnet_100.in1k	224	3.400	96.600	25.187	74.813	5.18	0.875	bicubic	-86.800	-72.063	-1
1368	resnet34.a3_in1k	224	3.400	96.600	23.240	76.760	21.80	0.950	bicubic	-86.520	-74.000	+8
1369	resnet50.a3_in1k	160	3.373	96.627	23.600	76.400	25.56	0.950	bicubic	-88.057	-74.030	-51
1370	legacy_seresnet34.in1k	224	3.320	96.680	23.707	76.293	21.96	0.875	bilinear	-87.600	-73.863	-28
1371	resnet18.a2_in1k	288	3.307	96.693	22.253	77.747	11.69	1.000	bicubic	-86.273	-74.697	+13
1372	resnet34.bt_in1k	224	3.253	96.747	24.413	75.587	21.80	0.875	bicubic	-87.917	-73.157	-40
1373	dla34.in1k	224	3.240	96.760	23.667	76.333	15.74	0.875	bilinear	-87.530	-73.983	-25
1374	efficientvit_b0.r224_in1k	224	3.227	96.773	19.427	80.573	3.41	0.950	bicubic	-84.753	-76.653	+36
1375	tinynet_c.in1k	184	3.213	96.787	21.413	78.587	2.46	0.875	bicubic	-84.577	-74.957	+37
1376	mobilenetv2_110d.ra_in1k	224	3.133	96.867	24.787	75.213	4.52	0.875	bicubic	-87.867	-72.623	-38
1377	mnasnet_100.rmsp_in1k	224	3.133	96.867	24.307	75.693	4.38	0.875	bicubic	-87.517	-73.203	-23
1378	regnety_004.pycls_in1k	224	3.080	96.920	22.573	77.427	4.34	0.875	bicubic	-87.430	-75.007	-18
1379	tf_efficientnet_lite0.in1k	224	3.067	96.933	22.733	77.267	4.65	0.875	bicubic	-88.033	-74.977	-43
1380	mobileone_s1.apple_in1k	224	3.040	96.960	25.027	74.973	4.83	0.900	bilinear	-88.320	-72.743	-58
1381	skresnet18.ra_in1k	224	3.027	96.973	22.680	77.320	11.96	0.875	bicubic	-86.633	-74.550	-2
1382	repghostnet_080.in1k	224	3.027	96.973	22.627	77.373	3.28	0.875	bicubic	-85.943	-74.143	+11
1383	efficientvit_m1.r224_in1k	224	2.907	97.093	19.573	80.427	2.98	0.875	bicubic	-83.903	-76.427	+36
1384	tf_mobilenetv3_large_075.in1k	224	2.893	97.107	21.707	78.293	3.99	0.875	bilinear	-86.767	-75.533	-3
1385	vgg19_bn.tv_in1k	224	2.840	97.160	23.467	76.533	143.68	0.875	bilinear	-87.280	-74.113	-17
1386	tinynet_d.in1k	152	2.787	97.213	17.773	82.227	2.34	0.875	bicubic	-82.043	-77.447	+44
1387	regnetx_008.pycls_in1k	224	2.733	97.267	22.387	77.613	7.26	0.875	bicubic	-88.367	-75.153	-52
1388	resnet14t.c3_in1k	224	2.720	97.280	19.827	80.173	10.08	0.950	bicubic	-86.280	-76.873	+3
1389	lcnet_100.ra2_in1k	224	2.653	97.347	20.467	79.533	2.95	0.875	bicubic	-86.107	-76.243	+10
1390	resnet34.gluon_in1k	224	2.640	97.360	21.533	78.467	21.80	0.875	bicubic	-88.330	-76.117	-50
1391	hrnet_w18_small_v2.ms_in1k	224	2.627	97.373	23.533	76.467	15.60	0.875	bilinear	-88.583	-74.367	-64
1392	repvgg_b0.rvgg_in1k	224	2.600	97.400	23.907	76.093	15.82	0.875	bilinear	-88.810	-74.073	-74
1393	hrnet_w18_small.gluon_in1k	224	2.600	97.400	20.520	79.480	13.19	0.875	bicubic	-86.880	-76.530	-7
1394	vgg16.tv_in1k	224	2.573	97.427	19.960	80.040	138.36	0.875	bilinear	-85.977	-76.830	+7
1395	vgg16_bn.tv_in1k	224	2.560	97.440	23.587	76.413	138.37	0.875	bilinear	-87.530	-73.783	-25
1396	resnet18d.ra2_in1k	224	2.480	97.520	21.547	78.453	11.71	0.875	bicubic	-86.850	-75.633	-10
1397	densenet121.tv_in1k	224	2.467	97.533	22.533	77.467	7.98	0.875	bicubic	-88.433	-75.197	-55
1398	regnetx_006.pycls_in1k	224	2.467	97.533	20.640	79.360	6.20	0.875	bicubic	-87.903	-76.780	-36
1399	legacy_seresnet18.in1k	224	2.467	97.533	19.880	80.120	11.78	0.875	bicubic	-86.423	-77.090	-3
1400	resnet18.a1_in1k	224	2.440	97.560	18.467	81.533	11.69	0.950	bicubic	-86.000	-78.183	+3
1401	resnet26.bt_in1k	224	2.400	97.600	22.840	77.160	16.00	0.875	bicubic	-88.780	-74.960	-70
1402	lcnet_075.ra2_in1k	224	2.280	97.720	17.133	82.867	2.36	0.875	bicubic	-83.760	-78.547	+24
1403	efficientvit_m0.r224_in1k	224	2.267	97.733	16.453	83.547	2.35	0.875	bicubic	-80.133	-77.967	+36
1404	repghostnet_058.in1k	224	2.253	97.747	18.427	81.573	2.55	0.875	bicubic	-84.257	-77.473	+15
1405	resnet34.a3_in1k	160	2.253	97.747	18.280	81.720	21.80	0.950	bicubic	-85.647	-78.190	+7
1406	resnet18.a3_in1k	224	2.253	97.747	17.507	82.493	11.69	0.950	bicubic	-84.177	-78.393	+17
1407	mobilenetv3_small_075.lamb_in1k	224	2.227	97.773	15.707	84.293	2.04	0.875	bicubic	-80.883	-78.443	+30
1408	test_vit.r160_in1k	160	2.227	97.773	12.733	87.267	0.37	0.875	bicubic	-60.233	-71.807	+39
1409	mobilenetv2_100.ra_in1k	224	2.187	97.813	19.733	80.267	3.50	0.875	bicubic	-87.443	-77.407	-26
1410	test_efficientnet.r160_in1k	160	2.173	97.827	11.200	88.800	0.36	0.875	bicubic	-64.937	-74.900	+34
1411	repvgg_a1.rvgg_in1k	224	2.147	97.853	21.227	78.773	14.09	0.875	bilinear	-88.443	-76.413	-53
1412	tf_mobilenetv3_small_100.in1k	224	2.147	97.853	16.773	83.227	2.54	0.875	bilinear	-83.073	-78.997	+16
1413	regnety_002.pycls_in1k	224	2.133	97.867	18.640	81.360	3.16	0.875	bicubic	-85.217	-77.960	+2
1414	resnet14t.c3_in1k	176	2.133	97.867	16.960	83.040	10.08	0.875	bicubic	-86.157	-79.410	-7
1415	vgg19.tv_in1k	224	2.107	97.893	20.480	79.520	143.67	0.875	bilinear	-86.953	-76.420	-26
1416	mobileone_s0.apple_in1k	224	2.107	97.893	17.360	82.640	5.29	0.875	bilinear	-86.213	-79.070	-10
1417	vgg13_bn.tv_in1k	224	2.080	97.920	20.040	79.960	133.05	0.875	bilinear	-86.700	-76.930	-20
1418	test_byobnet.r160_in1k	160	2.053	97.947	11.547	88.453	0.46	0.875	bicubic	-63.817	-74.723	+27
1419	regnetx_004.pycls_in1k	224	1.973	98.027	19.080	80.920	5.16	0.875	bicubic	-86.947	-78.030	-25
1420	resnet18.a2_in1k	224	1.973	98.027	17.467	82.533	11.69	0.950	bicubic	-86.057	-78.953	-11
1421	tf_mobilenetv3_small_075.in1k	224	1.973	98.027	14.840	85.160	2.04	0.875	bilinear	-81.547	-80.020	+16
1422	mobilenetv3_small_100.lamb_in1k	224	1.933	98.067	16.893	83.107	2.54	0.875	bicubic	-83.257	-78.727	+6
1423	tinynet_e.in1k	106	1.933	98.067	13.973	86.027	2.04	0.875	bicubic	-77.057	-78.587	+19
1424	repghostnet_050.in1k	224	1.920	98.080	16.347	83.653	2.31	0.875	bicubic	-83.120	-78.873	+5
1425	vgg13.tv_in1k	224	1.853	98.147	17.947	82.053	133.05	0.875	bilinear	-85.167	-78.363	-7
1426	resnet34.tv_in1k	224	1.840	98.160	19.813	80.187	21.80	0.875	bilinear	-88.090	-77.527	-53
1427	lcnet_050.ra2_in1k	224	1.787	98.213	13.813	86.187	1.88	0.875	bicubic	-79.933	-79.917	+13
1428	mobilenetv3_small_050.lamb_in1k	224	1.773	98.227	12.547	87.453	1.59	0.875	bicubic	-75.207	-78.763	+15
1429	mnasnet_small.lamb_in1k	224	1.760	98.240	15.040	84.960	2.03	0.875	bicubic	-82.610	-80.130	+3
1430	vgg11_bn.tv_in1k	224	1.733	98.267	18.107	81.893	132.87	0.875	bilinear	-85.767	-78.703	-17
1431	dla46x_c.in1k	224	1.707	98.293	16.333	83.667	1.07	0.875	bilinear	-82.643	-78.907	+2
1432	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
1433	resnet10t.c3_in1k	224	1.640	98.360	15.907	84.093	5.44	0.950	bicubic	-84.610	-79.813	-9
1434	mobilenetv2_050.lamb_in1k	224	1.640	98.360	14.053	85.947	1.97	0.875	bicubic	-82.300	-80.537	+1
1435	vgg11.tv_in1k	224	1.613	98.387	15.907	84.093	132.86	0.875	bilinear	-84.967	-80.403	-15
1436	resnet18.gluon_in1k	224	1.600	98.400	16.773	83.227	11.69	0.875	bicubic	-86.770	-79.757	-32
1437	dla60x_c.in1k	224	1.587	98.413	17.773	82.227	1.32	0.875	bilinear	-84.743	-78.317	-14
1438	hrnet_w18_small.ms_in1k	224	1.520	98.480	18.147	81.853	13.19	0.875	bilinear	-87.530	-78.933	-48
1439	repvgg_a0.rvgg_in1k	224	1.493	98.507	17.453	82.547	9.11	0.875	bilinear	-87.767	-79.477	-53
1440	dla46_c.in1k	224	1.493	98.507	15.120	84.880	1.30	0.875	bilinear	-82.127	-79.800	-3
1441	resnet10t.c3_in1k	176	1.413	98.587	14.147	85.853	5.44	0.875	bicubic	-83.367	-80.863	-10
1442	resnet18.a3_in1k	160	1.387	98.613	13.707	86.293	11.69	0.950	bicubic	-82.883	-80.923	-8
1443	regnetx_002.pycls_in1k	224	1.293	98.707	14.907	85.093	2.68	0.875	bicubic	-84.907	-81.063	-18
1444	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
1445	resnet18.tv_in1k	224	1.120	98.880	16.200	83.800	11.69	0.875	bilinear	-86.260	-80.060	-31
1446	resnet50.tv_in1k	224	0.040	99.960	14.360	85.640	25.56	0.875	bilinear	-91.850	-83.690	-145