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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	crop_pct	interpolation	top1_diff	top5_diff	rank_diff
2	convnext_xxlarge.clip_laion2b_soup_ft_in1k	90.623	9.377	97.913	2.087	846.47	256	1.000	bicubic	-7.127	-1.897	+18
3	eva_giant_patch14_336.clip_ft_in1k	90.550	9.450	97.230	2.770	1,013.01	336	1.000	bicubic	-7.310	-2.650	+6
4	eva02_large_patch14_448.mim_m38m_ft_in1k	90.460	9.540	97.267	2.733	305.08	448	1.000	bicubic	-7.370	-2.553	+6
5	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	90.297	9.703	97.170	2.830	305.08	448	1.000	bicubic	-7.733	-2.720	-2
6	eva_giant_patch14_224.clip_ft_in1k	89.843	10.157	97.023	2.977	1,012.56	224	0.900	bicubic	-7.727	-2.687	+29
7	eva_giant_patch14_336.m30m_ft_in22k_in1k	88.590	11.410	95.920	4.080	1,013.01	336	1.000	bicubic	-9.400	-3.980	-2
8	eva_giant_patch14_560.m30m_ft_in22k_in1k	88.397	11.603	95.610	4.390	1,014.45	560	1.000	bicubic	-9.603	-4.250	-4
9	regnety_1280.swag_ft_in1k	88.257	11.743	96.477	3.523	644.81	384	1.000	bicubic	-9.523	-3.383	+6
10	eva02_large_patch14_448.mim_in22k_ft_in22k_in1k	87.983	12.017	95.610	4.390	305.08	448	1.000	bicubic	-10.177	-4.270	-8
11	eva02_large_patch14_448.mim_in22k_ft_in1k	87.587	12.413	95.733	4.267	305.08	448	1.000	bicubic	-10.273	-4.057	-3
12	regnety_1280.swag_lc_in1k	86.947	13.053	95.737	4.263	644.81	224	0.965	bicubic	-10.443	-4.003	+36
13	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	84.437	15.563	94.297	5.703	200.13	384	1.000	bicubic	-12.953	-5.433	+34
14	vit_large_patch14_clip_336.openai_ft_in12k_in1k	83.927	16.073	93.873	6.127	304.53	336	1.000	bicubic	-13.673	-5.857	+18
15	vit_large_patch14_clip_336.laion2b_ft_in1k	83.617	16.383	93.513	6.487	304.53	336	1.000	bicubic	-13.613	-6.207	+62
16	eva_large_patch14_336.in22k_ft_in1k	83.520	16.480	93.103	6.897	304.53	336	1.000	bicubic	-14.290	-6.757	-4
17	vit_huge_patch14_clip_224.laion2b_ft_in1k	83.263	16.737	93.133	6.867	632.05	224	1.000	bicubic	-13.837	-6.557	+79
18	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	83.047	16.953	92.837	7.163	632.46	336	1.000	bicubic	-14.563	-6.943	+12
19	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	82.797	17.203	92.613	7.387	632.05	224	1.000	bicubic	-14.563	-7.187	+36
20	vit_large_patch14_clip_224.openai_ft_in1k	82.320	17.680	92.910	7.090	304.20	224	1.000	bicubic	-15.120	-6.770	+24
21	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	82.217	17.783	92.433	7.567	200.13	384	1.000	bicubic	-15.253	-7.327	+19
22	vit_large_patch14_clip_224.laion2b_ft_in1k	81.703	18.297	92.260	7.740	304.20	224	1.000	bicubic	-15.317	-7.410	+89
23	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	81.347	18.653	91.963	8.037	200.13	320	1.000	bicubic	-15.913	-7.747	+47
24	regnety_320.swag_lc_in1k	81.317	18.683	93.153	6.847	145.05	224	0.965	bicubic	-15.463	-6.467	+120
25	eva_large_patch14_196.in22k_ft_in1k	81.300	18.700	91.530	8.470	304.14	196	1.000	bicubic	-16.220	-8.260	+12
26	regnety_320.swag_ft_in1k	81.200	18.800	92.703	7.297	145.05	384	1.000	bicubic	-16.180	-7.017	+23
27	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	80.870	19.130	91.913	8.087	200.13	256	1.000	bicubic	-16.260	-7.867	+64
28	eva_large_patch14_336.in22k_ft_in22k_in1k	80.083	19.917	89.357	10.643	304.53	336	1.000	bicubic	-17.777	-10.443	-21
29	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	79.467	20.533	89.197	10.803	468.53	224	0.875	bilinear	-17.303	-10.423	+121
30	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	78.830	21.170	88.473	11.527	194.03	224	0.875	bilinear	-17.600	-11.157	+179
31	vit_large_patch14_clip_224.openai_ft_in12k_in1k	78.677	21.323	88.917	11.083	304.20	224	1.000	bicubic	-18.933	-10.813	0
32	eva_large_patch14_196.in22k_ft_in22k_in1k	78.500	21.500	88.330	11.670	304.14	196	1.000	bicubic	-19.120	-11.480	-4
33	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	78.427	21.573	88.500	11.500	304.53	336	1.000	bicubic	-19.033	-11.280	+8
34	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	78.260	21.740	88.673	11.327	304.20	224	1.000	bicubic	-19.130	-11.057	+12
35	regnety_160.swag_lc_in1k	78.200	21.800	91.667	8.333	83.59	224	0.965	bicubic	-18.250	-7.943	+168
36	regnety_160.swag_ft_in1k	77.680	22.320	90.733	9.267	83.59	384	1.000	bicubic	-19.490	-8.907	+49
37	eva02_base_patch14_448.mim_in22k_ft_in1k	77.607	22.393	89.303	10.697	87.12	448	1.000	bicubic	-20.113	-10.457	-14
38	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	77.497	22.503	88.490	11.510	87.12	448	1.000	bicubic	-20.113	-11.330	-9
39	tf_efficientnet_l2.ns_jft_in1k_475	76.487	23.513	88.647	11.353	480.31	475	0.936	bicubic	-21.263	-11.143	-20
40	beitv2_large_patch16_224.in1k_ft_in22k_in1k	76.353	23.647	87.090	12.910	304.43	224	0.950	bicubic	-21.397	-12.730	-19
41	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	76.300	23.700	87.743	12.257	194.03	224	0.875	bilinear	-19.970	-11.757	+200
42	convnextv2_huge.fcmae_ft_in22k_in1k_384	75.950	24.050	86.637	13.363	660.29	384	1.000	bicubic	-21.920	-13.273	-36
43	convnextv2_huge.fcmae_ft_in22k_in1k_512	75.827	24.173	86.947	13.053	660.29	512	1.000	bicubic	-21.983	-12.843	-32
44	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	75.797	24.203	86.197	13.803	88.79	224	0.875	bilinear	-20.143	-13.183	+266
45	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	75.600	24.400	86.943	13.057	88.79	224	0.875	bilinear	-20.650	-12.597	+197
46	convnext_base.clip_laiona_augreg_ft_in1k_384	75.210	24.790	88.580	11.420	88.59	384	1.000	bicubic	-21.650	-11.110	+85
47	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	75.173	24.827	88.460	11.540	88.59	384	1.000	bicubic	-21.867	-11.210	+57
48	tf_efficientnet_l2.ns_jft_in1k	74.657	25.343	87.557	12.443	480.31	800	0.960	bicubic	-23.123	-12.263	-34
49	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	73.733	26.267	87.343	12.657	88.59	256	1.000	bicubic	-23.057	-12.337	+94
50	convnext_base.clip_laion2b_augreg_ft_in1k	73.400	26.600	87.147	12.853	88.59	256	1.000	bicubic	-23.160	-12.483	+132
51	beit_large_patch16_384.in22k_ft_in22k_in1k	73.277	26.723	85.030	14.970	305.00	384	1.000	bicubic	-24.533	-14.810	-38
52	beit_large_patch16_512.in22k_ft_in22k_in1k	73.160	26.840	85.090	14.910	305.67	512	1.000	bicubic	-24.620	-14.800	-36
53	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	72.657	27.343	85.163	14.837	44.18	224	0.875	bilinear	-23.383	-14.247	+235
54	maxvit_xlarge_tf_512.in21k_ft_in1k	71.873	28.127	82.927	17.073	475.77	512	1.000	bicubic	-25.887	-16.893	-36
55	maxvit_xlarge_tf_384.in21k_ft_in1k	71.700	28.300	82.713	17.287	475.32	384	1.000	bicubic	-26.040	-17.137	-33
56	beit_large_patch16_224.in22k_ft_in22k_in1k	71.040	28.960	83.430	16.570	304.43	224	0.900	bicubic	-26.440	-16.260	-17
57	deit3_huge_patch14_224.fb_in22k_ft_in1k	70.817	29.183	82.200	17.800	632.13	224	1.000	bicubic	-26.433	-17.520	+16
58	vit_base_patch16_clip_384.laion2b_ft_in1k	70.773	29.227	83.820	16.180	86.86	384	1.000	bicubic	-26.127	-15.850	+66
59	caformer_b36.sail_in22k_ft_in1k_384	70.750	29.250	82.647	17.353	98.75	384	1.000	bicubic	-26.910	-17.213	-34
60	deit3_large_patch16_384.fb_in22k_ft_in1k	70.580	29.420	82.437	17.563	304.76	384	1.000	bicubic	-27.000	-17.273	-26
61	beitv2_large_patch16_224.in1k_ft_in1k	70.403	29.597	83.373	16.627	304.43	224	0.950	bicubic	-26.907	-16.387	0
62	maxvit_base_tf_512.in21k_ft_in1k	70.390	29.610	81.600	18.400	119.88	512	1.000	bicubic	-27.370	-18.260	-45
63	maxvit_large_tf_512.in21k_ft_in1k	70.380	29.620	81.650	18.350	212.33	512	1.000	bicubic	-27.290	-18.080	-39
64	maxvit_large_tf_384.in21k_ft_in1k	70.010	29.990	81.037	18.963	212.03	384	1.000	bicubic	-27.650	-18.783	-38
65	deit3_large_patch16_224.fb_in22k_ft_in1k	69.713	30.287	81.197	18.803	304.37	224	1.000	bicubic	-27.597	-18.483	-3
66	maxvit_base_tf_384.in21k_ft_in1k	69.557	30.443	80.730	19.270	119.65	384	1.000	bicubic	-28.003	-19.030	-30
67	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	69.123	30.877	80.063	19.937	116.14	384	1.000	bicubic	-28.217	-19.627	-11
68	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	68.977	31.023	82.800	17.200	25.03	224	0.875	bilinear	-26.653	-16.610	+301
69	vit_base_patch16_clip_224.laion2b_ft_in1k	68.770	31.230	82.507	17.493	86.57	224	1.000	bicubic	-27.550	-17.013	+160
70	convnextv2_large.fcmae_ft_in22k_in1k_384	68.653	31.347	81.070	18.930	197.96	384	1.000	bicubic	-28.977	-18.730	-43
71	caformer_b36.sail_in22k_ft_in1k	68.600	31.400	80.857	19.143	98.75	224	1.000	bicubic	-28.760	-18.973	-17
72	resnet50.fb_swsl_ig1b_ft_in1k	68.287	31.713	83.307	16.693	25.56	224	0.875	bilinear	-26.913	-16.083	+379
73	convnext_xlarge.fb_in22k_ft_in1k_384	68.157	31.843	80.453	19.547	350.20	384	1.000	bicubic	-29.433	-19.317	-40
74	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	68.077	31.923	80.740	19.260	116.09	384	1.000	bicubic	-29.373	-19.020	-31
75	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	67.667	32.333	80.100	19.900	196.74	384	1.000	bicubic	-29.613	-19.680	-8
76	tf_efficientnet_b7.ns_jft_in1k	67.510	32.490	81.380	18.620	66.35	600	0.949	bicubic	-29.680	-18.240	+6
77	vit_base_patch16_clip_384.openai_ft_in1k	67.360	32.640	81.687	18.313	86.86	384	1.000	bicubic	-29.450	-18.023	+62
78	vit_large_patch16_384.augreg_in21k_ft_in1k	67.060	32.940	78.703	21.297	304.72	384	1.000	bicubic	-30.350	-21.077	-33
79	convnextv2_base.fcmae_ft_in22k_in1k_384	67.030	32.970	79.800	20.200	88.72	384	1.000	bicubic	-30.350	-19.960	-29
80	convformer_b36.sail_in22k_ft_in1k_384	66.823	33.177	79.443	20.557	99.88	384	1.000	bicubic	-30.667	-20.317	-42
81	convnext_large.fb_in22k_ft_in1k_384	66.673	33.327	79.797	20.203	197.77	384	1.000	bicubic	-30.627	-19.963	-18
82	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	66.580	33.420	78.413	21.587	73.88	384	1.000	bicubic	-30.790	-21.287	-30
83	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	66.530	33.470	78.027	21.973	116.14	224	0.950	bicubic	-30.580	-21.573	+12
84	swin_large_patch4_window12_384.ms_in22k_ft_in1k	66.287	33.713	79.747	20.253	196.74	384	1.000	bicubic	-30.883	-19.993	+3
85	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	66.150	33.850	78.880	21.120	86.86	384	1.000	bicubic	-31.070	-20.820	-6
86	vit_base_patch16_clip_224.openai_ft_in1k	66.030	33.970	80.983	19.017	86.57	224	0.900	bicubic	-30.280	-18.517	+146
87	beitv2_base_patch16_224.in1k_ft_in22k_in1k	65.757	34.243	78.893	21.107	86.53	224	0.900	bicubic	-31.153	-20.837	+36
88	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	65.733	34.267	79.317	20.683	87.92	384	1.000	bicubic	-31.537	-20.473	-20
89	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	65.640	34.360	78.480	21.520	196.74	256	0.900	bicubic	-31.600	-21.230	-14
90	tf_efficientnet_b6.ns_jft_in1k	65.590	34.410	79.563	20.437	43.04	528	0.942	bicubic	-31.430	-20.147	+19
91	caformer_m36.sail_in22k_ft_in1k_384	65.570	34.430	78.713	21.287	56.20	384	1.000	bicubic	-31.800	-21.077	-40
92	convformer_b36.sail_in22k_ft_in1k	65.513	34.487	78.140	21.860	99.88	224	1.000	bicubic	-31.747	-21.610	-23
93	convnext_xlarge.fb_in22k_ft_in1k	65.373	34.627	78.350	21.650	350.20	288	1.000	bicubic	-32.077	-21.470	-51
94	vit_base_patch16_clip_384.openai_ft_in12k_in1k	65.353	34.647	78.957	21.043	86.86	384	0.950	bicubic	-31.767	-20.613	-2
95	convnext_base.fb_in22k_ft_in1k_384	64.903	35.097	78.387	21.613	88.59	384	1.000	bicubic	-32.357	-21.353	-24
96	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	64.763	35.237	77.767	22.233	86.57	224	0.950	bicubic	-31.857	-21.793	+75
97	convnextv2_large.fcmae_ft_in22k_in1k	64.710	35.290	78.157	21.843	197.96	288	1.000	bicubic	-32.600	-21.583	-37
98	vit_large_patch16_224.augreg_in21k_ft_in1k	64.360	35.640	76.187	23.813	304.33	224	0.900	bicubic	-32.340	-23.383	+60
99	convnext_large.fb_in22k_ft_in1k	64.263	35.737	77.773	22.227	197.77	288	1.000	bicubic	-32.957	-21.957	-21
100	vit_large_r50_s32_384.augreg_in21k_ft_in1k	64.107	35.893	75.847	24.153	329.09	384	1.000	bicubic	-32.843	-23.783	+17
101	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	64.010	35.990	77.513	22.487	116.09	224	0.950	bicubic	-33.080	-22.167	-4
102	swin_large_patch4_window7_224.ms_in22k_ft_in1k	63.887	36.113	78.187	21.813	196.53	224	0.900	bicubic	-33.053	-21.483	+18
103	beit_base_patch16_384.in22k_ft_in22k_in1k	63.623	36.377	78.103	21.897	86.74	384	1.000	bicubic	-33.697	-21.617	-45
104	caformer_m36.sail_in22k_ft_in1k	63.490	36.510	76.917	23.083	56.20	224	1.000	bicubic	-33.530	-22.813	+4
105	swin_base_patch4_window12_384.ms_in22k_ft_in1k	63.483	36.517	78.050	21.950	87.90	384	1.000	bicubic	-33.647	-21.670	-15
106	convnextv2_base.fcmae_ft_in22k_in1k	63.307	36.693	77.163	22.837	88.72	288	1.000	bicubic	-33.893	-22.597	-25
107	caformer_s36.sail_in22k_ft_in1k_384	63.263	36.737	77.460	22.540	39.30	384	1.000	bicubic	-34.027	-22.320	-41
108	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	63.183	36.817	77.093	22.907	87.92	256	0.900	bicubic	-33.867	-22.497	-6
109	tf_efficientnet_b5.ns_jft_in1k	63.053	36.947	77.790	22.210	30.39	456	0.934	bicubic	-33.817	-21.850	+21
110	vit_base_patch16_clip_224.openai_ft_in12k_in1k	62.940	37.060	76.590	23.410	86.57	224	0.950	bicubic	-33.570	-22.960	+84
111	deit3_base_patch16_384.fb_in22k_ft_in1k	62.637	37.363	75.550	24.450	86.88	384	1.000	bicubic	-34.603	-24.190	-35
112	convnext_base.fb_in22k_ft_in1k	62.537	37.463	76.550	23.450	88.59	288	1.000	bicubic	-34.663	-23.210	-32
113	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	62.417	37.583	75.130	24.870	73.88	224	0.950	bicubic	-34.763	-24.520	-29
114	vit_base_patch8_224.augreg2_in21k_ft_in1k	62.400	37.600	76.600	23.400	86.58	224	0.900	bicubic	-34.550	-23.040	+4
115	tf_efficientnetv2_l.in21k_ft_in1k	62.370	37.630	76.757	23.243	118.52	480	1.000	bicubic	-34.950	-22.883	-56
116	vit_base_patch8_224.augreg_in21k_ft_in1k	62.177	37.823	75.630	24.370	86.58	224	0.900	bicubic	-34.913	-23.980	-18
117	convformer_m36.sail_in22k_ft_in1k_384	62.107	37.893	75.547	24.453	57.05	384	1.000	bicubic	-35.263	-24.133	-64
118	tf_efficientnetv2_xl.in21k_ft_in1k	62.083	37.917	75.663	24.337	208.12	512	1.000	bicubic	-35.247	-23.937	-61
119	hrnet_w48_ssld.paddle_in1k	61.927	38.073	75.163	24.837	77.47	288	1.000	bilinear	-34.613	-24.477	+67
120	deit3_base_patch16_224.fb_in22k_ft_in1k	61.803	38.197	74.710	25.290	86.59	224	1.000	bicubic	-35.057	-24.910	+12
121	beitv2_base_patch16_224.in1k_ft_in1k	61.427	38.573	75.930	24.070	86.53	224	0.900	bicubic	-35.323	-23.670	+32
122	coatnet_2_rw_224.sw_in12k_ft_in1k	61.277	38.723	73.967	26.033	73.87	224	0.950	bicubic	-35.713	-25.693	-8
123	convformer_m36.sail_in22k_ft_in1k	61.263	38.737	74.617	25.383	57.05	224	1.000	bicubic	-35.807	-25.133	-23
124	tf_efficientnet_b4.ns_jft_in1k	61.233	38.767	76.167	23.833	19.34	380	0.922	bicubic	-35.477	-23.473	+32
125	convnextv2_huge.fcmae_ft_in1k	61.197	38.803	74.500	25.500	660.29	288	1.000	bicubic	-36.053	-25.220	-53
126	maxvit_base_tf_512.in1k	61.103	38.897	74.053	25.947	119.88	512	1.000	bicubic	-36.067	-25.627	-38
127	caformer_s36.sail_in22k_ft_in1k	60.763	39.237	75.170	24.830	39.30	224	1.000	bicubic	-36.057	-24.520	+10
128	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	60.353	39.647	73.800	26.200	88.30	384	1.000	bicubic	-36.257	-25.680	+44
129	beit_base_patch16_224.in22k_ft_in22k_in1k	60.317	39.683	75.593	24.407	86.53	224	0.900	bicubic	-36.343	-24.067	+37
130	tf_efficientnetv2_m.in21k_ft_in1k	60.263	39.737	75.063	24.937	54.14	480	1.000	bicubic	-36.737	-24.567	-18
131	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	60.240	39.760	73.547	26.453	88.34	448	1.000	bicubic	-36.330	-25.973	+48
132	vit_base_patch16_384.augreg_in21k_ft_in1k	60.183	39.817	73.850	26.150	86.86	384	1.000	bicubic	-36.837	-25.860	-22
133	convformer_s36.sail_in22k_ft_in1k_384	60.067	39.933	74.130	25.870	40.01	384	1.000	bicubic	-36.993	-25.580	-32
134	convnext_small.fb_in22k_ft_in1k_384	59.923	40.077	74.487	25.513	50.22	384	1.000	bicubic	-37.187	-25.153	-40
135	maxvit_large_tf_512.in1k	59.887	40.113	72.847	27.153	212.33	512	1.000	bicubic	-37.163	-26.813	-32
136	swin_base_patch4_window7_224.ms_in22k_ft_in1k	59.527	40.473	74.247	25.753	87.77	224	0.900	bicubic	-37.153	-25.423	+28
137	vit_base_patch32_clip_224.laion2b_ft_in1k	59.163	40.837	73.883	26.117	88.22	224	0.900	bicubic	-35.587	-25.187	+410
138	maxvit_base_tf_384.in1k	59.073	40.927	71.687	28.313	119.65	384	1.000	bicubic	-38.047	-27.953	-45
139	vit_base_patch16_224.augreg2_in21k_ft_in1k	59.053	40.947	73.603	26.397	86.57	224	0.900	bicubic	-37.457	-25.957	+54
140	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	59.030	40.970	72.837	27.163	93.59	320	1.000	bicubic	-38.260	-26.883	-75
141	volo_d5_512.sail_in1k	58.927	41.073	73.207	26.793	296.09	512	1.150	bicubic	-38.373	-26.553	-77
142	convformer_s36.sail_in22k_ft_in1k	58.917	41.083	72.940	27.060	40.01	224	1.000	bicubic	-37.583	-26.520	+53
143	convnext_small.in12k_ft_in1k_384	58.807	41.193	72.797	27.203	50.22	384	1.000	bicubic	-38.183	-26.853	-30
144	volo_d5_448.sail_in1k	58.800	41.200	73.063	26.937	295.91	448	1.150	bicubic	-38.440	-26.607	-70
145	vit_large_r50_s32_224.augreg_in21k_ft_in1k	58.663	41.337	71.737	28.263	328.99	224	0.900	bicubic	-37.517	-27.773	+114
146	vit_base_patch32_clip_384.openai_ft_in12k_in1k	58.580	41.420	73.153	26.847	88.30	384	0.950	bicubic	-37.840	-26.347	+65
147	maxvit_large_tf_384.in1k	58.427	41.573	71.177	28.823	212.03	384	1.000	bicubic	-38.503	-28.393	-25
148	deit3_large_patch16_384.fb_in1k	58.360	41.640	72.957	27.043	304.76	384	1.000	bicubic	-38.490	-26.663	-15
149	eva02_small_patch14_336.mim_in22k_ft_in1k	58.357	41.643	72.880	27.120	22.13	336	1.000	bicubic	-38.333	-26.730	+13
150	deit3_huge_patch14_224.fb_in1k	58.137	41.863	72.143	27.857	632.13	224	0.900	bicubic	-38.443	-27.377	+26
151	convnextv2_large.fcmae_ft_in1k	58.103	41.897	72.627	27.373	197.96	288	1.000	bicubic	-38.727	-27.133	-16
152	tf_efficientnet_b8.ap_in1k	57.837	42.163	72.957	27.043	87.41	672	0.954	bicubic	-38.713	-26.603	+33
153	convnext_small.fb_in22k_ft_in1k	57.743	42.257	72.773	27.227	50.22	288	1.000	bicubic	-39.067	-26.857	-12
154	seresnextaa101d_32x8d.sw_in12k_ft_in1k	57.643	42.357	71.357	28.643	93.59	288	1.000	bicubic	-39.527	-28.423	-68
155	mvitv2_large.fb_in1k	57.497	42.503	70.750	29.250	217.99	224	0.900	bicubic	-38.903	-28.790	+61
156	cait_m48_448.fb_dist_in1k	57.477	42.523	71.857	28.143	356.46	448	1.000	bicubic	-39.403	-27.813	-28
157	cait_m36_384.fb_dist_in1k	57.473	42.527	72.310	27.690	271.22	384	1.000	bicubic	-39.367	-27.350	-23
158	tf_efficientnet_b3.ns_jft_in1k	57.413	42.587	72.377	27.623	12.23	300	0.904	bicubic	-38.687	-27.103	+115
159	volo_d4_448.sail_in1k	57.283	42.717	71.540	28.460	193.41	448	1.150	bicubic	-39.787	-28.090	-60
160	maxvit_small_tf_512.in1k	57.077	42.923	70.960	29.040	69.13	512	1.000	bicubic	-40.113	-28.740	-77
161	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	57.070	42.930	71.267	28.733	88.22	224	0.900	bicubic	-38.160	-27.973	+282
162	vit_base_patch16_224.augreg_in21k_ft_in1k	56.840	43.160	70.633	29.367	86.57	224	0.900	bicubic	-39.460	-28.897	+74
163	deit3_medium_patch16_224.fb_in22k_ft_in1k	56.653	43.347	69.743	30.257	38.85	224	1.000	bicubic	-39.487	-29.747	+102
164	volo_d5_224.sail_in1k	56.503	43.497	70.660	29.340	295.46	224	0.960	bicubic	-40.377	-28.960	-38
165	deit3_large_patch16_224.fb_in1k	56.450	43.550	70.470	29.530	304.37	224	0.900	bicubic	-39.740	-29.030	+93
166	xcit_large_24_p8_384.fb_dist_in1k	56.360	43.640	71.307	28.693	188.93	384	1.000	bicubic	-40.400	-28.253	-15
167	flexivit_large.1200ep_in1k	56.290	43.710	71.557	28.443	304.36	240	0.950	bicubic	-40.490	-28.113	-20
168	convnextv2_tiny.fcmae_ft_in22k_in1k_384	56.100	43.900	71.900	28.100	28.64	384	1.000	bicubic	-40.520	-27.730	+2
169	flexivit_large.600ep_in1k	56.077	43.923	71.167	28.833	304.36	240	0.950	bicubic	-40.653	-28.393	-14
170	xcit_large_24_p8_224.fb_dist_in1k	56.020	43.980	70.670	29.330	188.93	224	1.000	bicubic	-40.610	-28.790	-2
171	caformer_s18.sail_in22k_ft_in1k_384	56.007	43.993	71.383	28.617	26.34	384	1.000	bicubic	-40.523	-28.197	+16
172	vit_base_patch32_clip_224.openai_ft_in1k	55.913	44.087	72.157	27.843	88.22	224	0.900	bicubic	-38.527	-26.953	+440
173	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	55.783	44.217	70.993	29.007	39.03	384	0.950	bicubic	-40.707	-28.627	+24
174	convnext_small.in12k_ft_in1k	55.700	44.300	70.727	29.273	50.22	288	1.000	bicubic	-40.900	-28.893	0
175	flexivit_large.300ep_in1k	55.700	44.300	70.703	29.297	304.36	240	0.950	bicubic	-41.000	-28.877	-16
176	caformer_b36.sail_in1k_384	55.193	44.807	68.070	31.930	98.75	384	1.000	bicubic	-41.967	-31.540	-87
177	convformer_s18.sail_in22k_ft_in1k_384	55.123	44.877	70.127	29.873	26.77	384	1.000	bicubic	-41.667	-29.583	-35
178	caformer_m36.sail_in1k_384	55.083	44.917	68.463	31.537	56.20	384	1.000	bicubic	-41.947	-31.247	-73
179	swin_small_patch4_window7_224.ms_in22k_ft_in1k	54.977	45.023	71.023	28.977	49.61	224	0.900	bicubic	-41.083	-28.457	+106
180	xcit_large_24_p16_384.fb_dist_in1k	54.910	45.090	69.853	30.147	189.10	384	1.000	bicubic	-42.030	-29.657	-59
181	volo_d4_224.sail_in1k	54.757	45.243	68.847	31.153	192.96	224	0.960	bicubic	-42.023	-30.763	-36
182	maxvit_tiny_tf_512.in1k	54.747	45.253	68.940	31.060	31.05	512	1.000	bicubic	-42.223	-30.730	-66
183	dm_nfnet_f5.dm_in1k	54.610	45.390	68.670	31.330	377.21	544	0.954	bicubic	-42.420	-31.010	-76
184	caformer_s36.sail_in1k_384	54.573	45.427	68.740	31.260	39.30	384	1.000	bicubic	-42.307	-30.930	-59
185	deit3_small_patch16_384.fb_in22k_ft_in1k	54.480	45.520	68.313	31.687	22.21	384	1.000	bicubic	-42.190	-31.327	-20
186	efficientnet_b5.sw_in12k_ft_in1k	54.417	45.583	69.877	30.123	30.39	448	1.000	bicubic	-42.353	-29.653	-37
187	vit_base_r50_s16_384.orig_in21k_ft_in1k	54.407	45.593	69.557	30.443	98.95	384	1.000	bicubic	-42.043	-30.053	+17
188	maxvit_small_tf_384.in1k	54.337	45.663	68.190	31.810	69.02	384	1.000	bicubic	-42.413	-31.350	-36
189	regnety_160.sw_in12k_ft_in1k	54.330	45.670	69.057	30.943	83.59	288	1.000	bicubic	-42.490	-30.563	-53
190	resnetv2_152x4_bit.goog_in21k_ft_in1k	54.320	45.680	70.173	29.827	936.53	480	1.000	bilinear	-42.560	-29.487	-63
191	xcit_large_24_p16_224.fb_dist_in1k	54.250	45.750	68.967	31.033	189.10	224	1.000	bicubic	-42.070	-30.533	+40
192	regnety_160.lion_in12k_ft_in1k	54.203	45.797	68.990	31.010	83.59	288	1.000	bicubic	-42.607	-30.520	-54
193	vit_small_r26_s32_384.augreg_in21k_ft_in1k	54.187	45.813	68.767	31.233	36.47	384	1.000	bicubic	-41.863	-30.783	+94
194	caformer_s18.sail_in22k_ft_in1k	54.110	45.890	69.713	30.287	26.34	224	1.000	bicubic	-41.900	-29.837	+100
195	volo_d3_448.sail_in1k	53.977	46.023	68.037	31.963	86.63	448	1.000	bicubic	-43.053	-31.633	-90
196	caformer_b36.sail_in1k	53.977	46.023	66.683	33.317	98.75	224	1.000	bicubic	-42.523	-32.947	+1
197	tf_efficientnet_b5.ap_in1k	53.880	46.120	69.170	30.830	30.39	456	0.934	bicubic	-42.210	-30.370	+78
198	dm_nfnet_f6.dm_in1k	53.843	46.157	68.413	31.587	438.36	576	0.956	bicubic	-43.127	-31.347	-83
199	xcit_medium_24_p8_224.fb_dist_in1k	53.650	46.350	68.403	31.597	84.32	224	1.000	bicubic	-42.880	-31.107	-10
200	tf_efficientnet_b2.ns_jft_in1k	53.600	46.400	70.270	29.730	9.11	260	0.890	bicubic	-41.920	-29.070	+188
201	cait_s36_384.fb_dist_in1k	53.560	46.440	68.003	31.997	68.37	384	1.000	bicubic	-43.070	-31.607	-34
202	tf_efficientnet_b6.ap_in1k	53.557	46.443	68.557	31.443	43.04	528	0.942	bicubic	-42.813	-30.993	+16
203	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	53.543	46.457	69.087	30.913	38.86	256	0.950	bicubic	-42.457	-30.333	+93
204	dm_nfnet_f3.dm_in1k	53.523	46.477	67.743	32.257	254.92	416	0.940	bicubic	-43.097	-31.837	-35
205	deit3_base_patch16_384.fb_in1k	53.483	46.517	67.623	32.377	86.88	384	1.000	bicubic	-42.747	-31.817	+46
206	deit3_base_patch16_224.fb_in1k	53.473	46.527	67.597	32.403	86.59	224	0.900	bicubic	-42.297	-31.673	+137
207	convformer_s18.sail_in22k_ft_in1k	53.437	46.563	68.680	31.320	26.77	224	1.000	bicubic	-42.663	-30.810	+65
208	tf_efficientnet_b8.ra_in1k	53.420	46.580	69.093	30.907	87.41	672	0.954	bicubic	-43.280	-30.557	-47
209	convnextv2_base.fcmae_ft_in1k	53.417	46.583	67.750	32.250	88.72	288	1.000	bicubic	-43.063	-31.800	-9
210	xcit_medium_24_p8_384.fb_dist_in1k	53.397	46.603	68.130	31.870	84.32	384	1.000	bicubic	-43.373	-31.470	-62
211	vit_base_patch32_384.augreg_in21k_ft_in1k	53.303	46.697	68.057	31.943	88.30	384	1.000	bicubic	-42.597	-31.283	+103
212	tf_efficientnet_b7.ap_in1k	53.260	46.740	68.877	31.123	66.35	600	0.949	bicubic	-43.090	-30.643	+9
213	convnext_large.fb_in1k	53.247	46.753	67.887	32.113	197.77	288	1.000	bicubic	-43.153	-31.563	+2
214	xcit_medium_24_p16_384.fb_dist_in1k	53.237	46.763	68.043	31.957	84.40	384	1.000	bicubic	-43.453	-31.557	-52
215	maxvit_base_tf_224.in1k	53.237	46.763	66.137	33.863	119.47	224	0.950	bicubic	-43.103	-33.443	+13
216	hrnet_w18_ssld.paddle_in1k	53.233	46.767	68.183	31.817	21.30	288	1.000	bilinear	-42.477	-31.107	+141
217	tf_efficientnetv2_l.in1k	53.163	46.837	67.833	32.167	118.52	480	1.000	bicubic	-43.577	-31.717	-63
218	tf_efficientnetv2_s.in21k_ft_in1k	53.127	46.873	68.997	31.003	21.46	384	1.000	bicubic	-43.343	-30.573	-17
219	tf_efficientnet_b4.ap_in1k	53.087	46.913	68.230	31.770	19.34	380	0.922	bicubic	-42.403	-31.160	+173
220	convnext_tiny.in12k_ft_in1k_384	53.063	46.937	68.503	31.497	28.59	384	1.000	bicubic	-43.497	-31.177	-37
221	regnetz_e8.ra3_in1k	53.003	46.997	67.147	32.853	57.70	320	1.000	bicubic	-43.597	-32.433	-49
222	maxvit_large_tf_224.in1k	53.003	46.997	65.340	34.660	211.79	224	0.950	bicubic	-43.327	-34.070	+7
223	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	52.873	47.127	66.460	33.540	41.72	224	0.950	bicubic	-43.257	-32.880	+44
224	volo_d3_224.sail_in1k	52.703	47.297	66.307	33.693	86.33	224	0.960	bicubic	-43.727	-33.233	-16
225	deit3_small_patch16_224.fb_in22k_ft_in1k	52.693	47.307	66.867	33.133	22.06	224	1.000	bicubic	-43.137	-32.473	+103
226	regnety_120.sw_in12k_ft_in1k	52.637	47.363	67.630	32.370	51.82	288	1.000	bicubic	-43.923	-32.020	-45
227	dm_nfnet_f4.dm_in1k	52.457	47.543	67.117	32.883	316.07	512	0.951	bicubic	-44.493	-32.593	-108
228	maxvit_tiny_tf_384.in1k	52.457	47.543	66.777	33.223	30.98	384	1.000	bicubic	-44.133	-32.783	-53
229	tf_efficientnet_b7.ra_in1k	52.407	47.593	68.227	31.773	66.35	600	0.949	bicubic	-44.163	-31.243	-51
230	xcit_small_24_p8_384.fb_dist_in1k	52.377	47.623	66.847	33.153	47.63	384	1.000	bicubic	-44.433	-32.813	-90
231	efficientnetv2_rw_m.agc_in1k	52.333	47.667	67.223	32.777	53.24	416	1.000	bicubic	-43.937	-32.407	+9
232	resnet18.fb_swsl_ig1b_ft_in1k	52.320	47.680	70.477	29.523	11.69	224	0.875	bilinear	-38.760	-27.723	+706
233	convformer_b36.sail_in1k_384	52.300	47.700	66.543	33.457	99.88	384	1.000	bicubic	-44.570	-33.107	-104
234	convformer_m36.sail_in1k_384	52.287	47.713	66.147	33.853	57.05	384	1.000	bicubic	-44.493	-33.583	-88
235	deit_base_distilled_patch16_384.fb_in1k	52.263	47.737	67.740	32.260	87.63	384	1.000	bicubic	-44.247	-31.850	-43
236	xcit_medium_24_p16_224.fb_dist_in1k	52.197	47.803	66.917	33.083	84.40	224	1.000	bicubic	-44.053	-32.493	+10
237	xcit_small_24_p8_224.fb_dist_in1k	52.183	47.817	66.767	33.233	47.63	224	1.000	bicubic	-44.367	-32.773	-53
238	convnext_tiny.fb_in22k_ft_in1k_384	52.180	47.820	66.923	33.077	28.59	384	1.000	bicubic	-43.990	-32.577	+23
239	convformer_s36.sail_in1k_384	51.990	48.010	66.200	33.800	40.01	384	1.000	bicubic	-44.710	-33.330	-79
240	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	51.937	48.063	68.663	31.337	236.34	384	1.000	bicubic	-44.253	-30.637	+17
241	convnextv2_tiny.fcmae_ft_in22k_in1k	51.903	48.097	67.800	32.200	28.64	288	1.000	bicubic	-44.437	-31.570	-16
242	resmlp_big_24_224.fb_in22k_ft_in1k	51.893	48.107	68.463	31.537	129.14	224	0.875	bicubic	-44.457	-31.127	-19
243	xcit_small_24_p16_384.fb_dist_in1k	51.880	48.120	66.367	33.633	47.67	384	1.000	bicubic	-44.460	-33.183	-19
244	cait_s24_384.fb_dist_in1k	51.787	48.213	66.307	33.693	47.06	384	1.000	bicubic	-44.783	-33.243	-67
245	resnetv2_152x2_bit.goog_in21k_ft_in1k	51.763	48.237	69.263	30.737	236.34	448	1.000	bilinear	-44.757	-30.307	-55
246	caformer_m36.sail_in1k	51.693	48.307	64.490	35.510	56.20	224	1.000	bicubic	-44.717	-35.070	-33
247	ecaresnet269d.ra2_in1k	51.673	48.327	66.040	33.960	102.09	352	1.000	bicubic	-44.777	-33.620	-41
248	regnety_2560.seer_ft_in1k	51.650	48.350	68.193	31.807	1,282.60	384	1.000	bicubic	-44.880	-31.327	-60
249	rexnetr_300.sw_in12k_ft_in1k	51.630	48.370	68.033	31.967	34.81	288	1.000	bicubic	-44.460	-31.507	+25
250	caformer_s36.sail_in1k	51.593	48.407	64.910	35.090	39.30	224	1.000	bicubic	-44.487	-34.600	+27
251	coat_lite_medium_384.in1k	51.570	48.430	65.740	34.260	44.57	384	1.000	bicubic	-45.000	-33.780	-71
252	mvitv2_base.fb_in1k	51.550	48.450	65.633	34.367	51.47	224	0.900	bicubic	-44.430	-33.957	+49
253	vit_base_patch16_224_miil.in21k_ft_in1k	51.543	48.457	65.210	34.790	86.54	224	0.875	bilinear	-44.497	-34.140	+38
254	davit_small.msft_in1k	51.523	48.477	66.440	33.560	49.75	224	0.950	bicubic	-44.507	-32.960	+38
255	convnext_tiny.in12k_ft_in1k	51.440	48.560	67.063	32.937	28.59	288	1.000	bicubic	-44.800	-32.227	-8
256	maxvit_rmlp_small_rw_224.sw_in1k	51.430	48.570	65.190	34.810	64.90	224	0.900	bicubic	-44.530	-34.240	+52
257	tf_efficientnetv2_m.in1k	51.427	48.573	66.620	33.380	54.14	480	1.000	bicubic	-45.053	-32.900	-59
258	caformer_s18.sail_in1k_384	51.353	48.647	65.657	34.343	26.34	384	1.000	bicubic	-45.057	-33.873	-46
259	edgenext_base.in21k_ft_in1k	51.283	48.717	65.657	34.343	18.51	320	1.000	bicubic	-44.917	-33.803	-4
260	davit_base.msft_in1k	51.267	48.733	65.223	34.777	87.95	224	0.950	bicubic	-44.973	-34.417	-12
261	convformer_b36.sail_in1k	51.203	48.797	64.280	35.720	99.88	224	1.000	bicubic	-45.037	-35.130	-12
262	maxvit_small_tf_224.in1k	51.193	48.807	65.263	34.737	68.93	224	0.950	bicubic	-45.007	-34.267	-6
263	xcit_small_12_p8_384.fb_dist_in1k	51.107	48.893	65.840	34.160	26.21	384	1.000	bicubic	-45.363	-33.650	-61
264	convnext_base.fb_in1k	51.057	48.943	65.880	34.120	88.59	288	1.000	bicubic	-45.253	-33.630	-30
265	convformer_m36.sail_in1k	51.020	48.980	63.650	36.350	57.05	224	1.000	bicubic	-45.060	-35.740	+14
266	volo_d2_384.sail_in1k	50.897	49.103	65.620	34.380	58.87	384	1.000	bicubic	-45.813	-33.980	-109
267	tf_efficientnet_b1.ns_jft_in1k	50.887	49.113	67.907	32.093	7.79	240	0.882	bicubic	-43.973	-31.343	+262
268	vit_base_patch16_384.orig_in21k_ft_in1k	50.880	49.120	65.273	34.727	86.86	384	1.000	bicubic	-45.320	-34.197	-14
269	convformer_s36.sail_in1k	50.863	49.137	64.083	35.917	40.01	224	1.000	bicubic	-45.247	-35.377	+2
270	xcit_small_24_p16_224.fb_dist_in1k	50.743	49.257	65.047	34.953	47.67	224	1.000	bicubic	-45.047	-34.523	+69
271	flexivit_base.1200ep_in1k	50.693	49.307	65.140	34.860	86.59	240	0.950	bicubic	-45.417	-34.380	-1
272	convformer_s18.sail_in1k_384	50.687	49.313	65.637	34.363	26.77	384	1.000	bicubic	-45.563	-33.943	-28
273	coatnet_rmlp_2_rw_224.sw_in1k	50.603	49.397	63.363	36.637	73.88	224	0.950	bicubic	-45.607	-36.117	-20
274	xcit_small_12_p16_384.fb_dist_in1k	50.527	49.473	65.300	34.700	26.25	384	1.000	bicubic	-45.813	-34.190	-48
275	efficientnet_b4.ra2_in1k	50.500	49.500	65.727	34.273	19.34	384	1.000	bicubic	-45.030	-33.673	+111
276	volo_d1_384.sail_in1k	50.477	49.523	64.913	35.087	26.78	384	1.000	bicubic	-46.003	-34.697	-77
277	xcit_small_12_p8_224.fb_dist_in1k	50.437	49.563	65.417	34.583	26.21	224	1.000	bicubic	-45.523	-33.953	+27
278	resnetv2_101x3_bit.goog_in21k_ft_in1k	50.393	49.607	67.783	32.217	387.93	448	1.000	bilinear	-45.857	-31.687	-35
279	flexivit_base.600ep_in1k	50.353	49.647	64.620	35.380	86.59	240	0.950	bicubic	-45.607	-34.800	+26
280	regnetz_040_h.ra3_in1k	50.317	49.683	65.623	34.377	28.94	320	1.000	bicubic	-46.003	-33.917	-50
281	mvitv2_small.fb_in1k	50.260	49.740	64.893	35.107	34.87	224	0.900	bicubic	-45.630	-34.467	+37
282	cait_s24_224.fb_dist_in1k	50.250	49.750	65.020	34.980	46.92	224	1.000	bicubic	-45.410	-34.370	+82
283	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	50.230	49.770	66.033	33.967	194.03	224	0.875	bilinear	-45.170	-33.127	+127
284	pit_b_distilled_224.in1k	50.227	49.773	65.000	35.000	74.79	224	0.900	bicubic	-45.593	-34.290	+51
285	eca_nfnet_l2.ra3_in1k	50.207	49.793	65.437	34.563	56.72	384	1.000	bicubic	-46.243	-34.313	-80
286	vit_small_patch16_384.augreg_in21k_ft_in1k	50.183	49.817	65.797	34.203	22.20	384	1.000	bicubic	-45.797	-33.533	+13
287	resnest269e.in1k	50.183	49.817	64.683	35.317	110.93	416	0.928	bicubic	-45.927	-34.627	-18
288	tresnet_v2_l.miil_in21k_ft_in1k	50.163	49.837	65.120	34.880	46.17	224	0.875	bilinear	-45.657	-34.200	+46
289	pvt_v2_b5.in1k	50.143	49.857	65.023	34.977	81.96	224	0.900	bicubic	-45.797	-34.367	+19
290	deit3_medium_patch16_224.fb_in1k	50.143	49.857	64.697	35.303	38.85	224	0.900	bicubic	-45.237	-34.653	+127
291	deit_base_distilled_patch16_224.fb_in1k	50.077	49.923	66.233	33.767	87.34	224	0.900	bicubic	-45.673	-33.197	+56
292	tf_efficientnet_b3.ap_in1k	50.047	49.953	65.210	34.790	12.23	300	0.904	bicubic	-44.923	-33.900	+215
293	pvt_v2_b4.in1k	50.027	49.973	65.127	34.873	62.56	224	0.900	bicubic	-45.893	-34.233	+19
294	flexivit_base.300ep_in1k	50.007	49.993	64.103	35.897	86.59	240	0.950	bicubic	-45.953	-35.277	+13
295	coat_lite_medium.in1k	49.977	50.023	64.857	35.143	44.57	224	0.900	bicubic	-46.023	-34.643	+4
296	resnest200e.in1k	49.870	50.130	64.727	35.273	70.20	320	0.909	bicubic	-46.200	-34.753	-16
297	efficientformer_l7.snap_dist_in1k	49.837	50.163	66.033	33.967	82.23	224	0.950	bicubic	-45.763	-33.357	+76
298	volo_d2_224.sail_in1k	49.817	50.183	64.583	35.417	58.68	224	0.960	bicubic	-46.603	-34.877	-88
299	xception65.ra3_in1k	49.777	50.223	63.527	36.473	39.92	299	0.940	bicubic	-45.913	-35.793	+63
300	seresnextaa101d_32x8d.ah_in1k	49.747	50.253	64.443	35.557	93.59	288	1.000	bicubic	-46.693	-35.067	-93
301	swinv2_base_window16_256.ms_in1k	49.667	50.333	63.800	36.200	87.92	256	0.900	bicubic	-46.503	-35.590	-39
302	pvt_v2_b3.in1k	49.613	50.387	64.790	35.210	45.24	224	0.900	bicubic	-45.857	-34.520	+94
303	convnextv2_nano.fcmae_ft_in22k_in1k_384	49.603	50.397	65.657	34.343	15.62	384	1.000	bicubic	-46.187	-33.633	+37
304	cait_xs24_384.fb_dist_in1k	49.537	50.463	64.900	35.100	26.67	384	1.000	bicubic	-46.463	-34.530	-6
305	maxvit_rmlp_tiny_rw_256.sw_in1k	49.530	50.470	63.823	36.177	29.15	256	0.950	bicubic	-46.510	-35.717	-16
306	tf_efficientnet_b5.ra_in1k	49.527	50.473	65.657	34.343	30.39	456	0.934	bicubic	-46.443	-33.773	-4
307	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	49.477	50.523	65.627	34.373	236.34	224	0.875	bicubic	-46.273	-33.803	+39
308	resnet200d.ra2_in1k	49.463	50.537	64.330	35.670	64.69	320	1.000	bicubic	-46.647	-35.080	-39
309	efficientformerv2_l.snap_dist_in1k	49.460	50.540	64.920	35.080	26.32	224	0.950	bicubic	-46.300	-34.450	+35
310	xcit_small_12_p16_224.fb_dist_in1k	49.413	50.587	63.847	36.153	26.25	224	1.000	bicubic	-46.317	-35.453	+43
311	resnest101e.in1k	49.367	50.633	65.583	34.417	48.28	256	0.875	bilinear	-46.203	-33.787	+69
312	dm_nfnet_f2.dm_in1k	49.350	50.650	63.950	36.050	193.78	352	0.920	bicubic	-47.170	-35.640	-121
313	regnetz_040.ra3_in1k	49.297	50.703	64.060	35.940	27.12	320	1.000	bicubic	-46.883	-35.470	-53
314	vit_base_patch32_224.augreg_in21k_ft_in1k	49.267	50.733	64.340	35.660	88.22	224	0.900	bicubic	-45.133	-34.450	+307
315	resnet152d.ra2_in1k	49.260	50.740	64.413	35.587	60.21	320	1.000	bicubic	-46.610	-35.057	+10
316	seresnet152d.ra2_in1k	49.237	50.763	64.167	35.833	66.84	320	1.000	bicubic	-47.073	-35.243	-83
317	xcit_large_24_p8_224.fb_in1k	49.237	50.763	62.840	37.160	188.93	224	1.000	bicubic	-46.853	-36.300	-41
318	gcvit_base.in1k	49.153	50.847	63.950	36.050	90.32	224	0.875	bicubic	-46.927	-35.300	-40
319	maxxvit_rmlp_small_rw_256.sw_in1k	49.150	50.850	63.343	36.657	66.01	256	0.950	bicubic	-47.060	-35.937	-67
320	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	49.093	50.907	65.490	34.510	88.79	224	0.875	bilinear	-46.227	-33.830	+105
321	resmlp_big_24_224.fb_distilled_in1k	49.093	50.907	65.473	34.527	129.14	224	0.875	bicubic	-46.777	-33.967	+3
322	convnext_small.fb_in1k	49.067	50.933	64.830	35.170	50.22	288	1.000	bicubic	-46.903	-34.620	-19
323	resnetaa101d.sw_in12k_ft_in1k	49.013	50.987	64.237	35.763	44.57	288	1.000	bicubic	-47.347	-35.233	-103
324	resnext101_64x4d.tv_in1k	48.990	51.010	63.510	36.490	83.46	224	0.875	bilinear	-46.830	-35.700	+9
325	volo_d1_224.sail_in1k	48.977	51.023	63.187	36.813	26.63	224	0.960	bicubic	-47.053	-36.203	-32
326	repvgg_b3.rvgg_in1k	48.913	51.087	64.890	35.110	123.09	224	0.875	bilinear	-45.657	-33.760	+260
327	resnetrs420.tf_in1k	48.860	51.140	63.437	36.563	191.89	416	1.000	bicubic	-47.540	-36.093	-113
328	maxvit_tiny_tf_224.in1k	48.807	51.193	62.933	37.067	30.92	224	0.950	bicubic	-47.003	-36.327	+8
329	convformer_s18.sail_in1k	48.787	51.213	62.930	37.070	26.77	224	1.000	bicubic	-46.543	-36.370	+95
330	caformer_s18.sail_in1k	48.750	51.250	62.867	37.133	26.34	224	1.000	bicubic	-46.930	-36.423	+33
331	deit3_small_patch16_384.fb_in1k	48.670	51.330	62.797	37.203	22.21	384	1.000	bicubic	-46.930	-36.643	+43
332	seresnext101d_32x8d.ah_in1k	48.603	51.397	62.960	37.040	93.59	288	1.000	bicubic	-47.757	-36.480	-113
333	swinv2_small_window16_256.ms_in1k	48.593	51.407	62.747	37.253	49.73	256	0.900	bicubic	-47.477	-36.703	-51
334	regnetz_d32.ra3_in1k	48.583	51.417	65.167	34.833	27.58	320	0.950	bicubic	-47.287	-34.263	-10
335	efficientnetv2_rw_s.ra2_in1k	48.573	51.427	63.833	36.167	23.94	384	1.000	bicubic	-47.137	-35.507	+21
336	efficientnet_b3.ra2_in1k	48.560	51.440	64.243	35.757	12.23	320	1.000	bicubic	-46.590	-34.967	+125
337	edgenext_base.usi_in1k	48.457	51.543	64.317	35.683	18.51	320	1.000	bicubic	-47.333	-34.983	+1
338	focalnet_base_lrf.ms_in1k	48.443	51.557	63.120	36.880	88.75	224	0.900	bicubic	-47.387	-36.080	-6
339	focalnet_base_srf.ms_in1k	48.423	51.577	63.103	36.897	88.15	224	0.900	bicubic	-47.477	-36.207	-24
340	vit_small_r26_s32_224.augreg_in21k_ft_in1k	48.377	51.623	63.800	36.200	36.43	224	0.900	bicubic	-46.753	-35.420	+128
341	swinv2_base_window8_256.ms_in1k	48.333	51.667	63.610	36.390	87.92	256	0.900	bicubic	-47.727	-35.800	-55
342	repvgg_b3g4.rvgg_in1k	48.310	51.690	64.780	35.220	83.83	224	0.875	bilinear	-46.190	-34.240	+261
343	vit_large_patch32_384.orig_in21k_ft_in1k	48.240	51.760	61.827	38.173	306.63	384	1.000	bicubic	-47.000	-37.493	+98
344	convit_base.fb_in1k	48.210	51.790	63.000	37.000	86.54	224	0.875	bicubic	-46.890	-36.150	+131
345	swin_s3_base_224.ms_in1k	48.153	51.847	62.243	37.757	71.13	224	0.900	bicubic	-47.887	-37.107	-55
346	sequencer2d_l.in1k	48.107	51.893	62.357	37.643	54.30	224	0.875	bicubic	-47.763	-37.203	-25
347	resnext101_32x8d.tv2_in1k	48.093	51.907	62.723	37.277	88.79	224	0.965	bilinear	-47.207	-36.507	+81
348	resnetrs350.tf_in1k	48.057	51.943	62.667	37.333	163.96	384	1.000	bicubic	-48.193	-36.923	-103
349	tf_efficientnetv2_b3.in21k_ft_in1k	48.030	51.970	64.750	35.250	14.36	300	0.900	bicubic	-47.570	-34.530	+26
350	focalnet_small_lrf.ms_in1k	48.027	51.973	63.130	36.870	50.34	224	0.900	bicubic	-47.713	-36.030	-1
351	gcvit_small.in1k	48.023	51.977	62.713	37.287	51.09	224	0.875	bicubic	-47.887	-36.567	-38
352	regnetz_d8.ra3_in1k	48.010	51.990	64.423	35.577	23.37	320	1.000	bicubic	-48.000	-35.097	-57
353	regnety_1280.seer_ft_in1k	47.990	52.010	64.230	35.770	644.81	384	1.000	bicubic	-48.320	-35.330	-118
354	twins_svt_large.in1k	47.963	52.037	62.907	37.093	99.27	224	0.900	bicubic	-47.737	-36.463	+6
355	vit_relpos_base_patch16_224.sw_in1k	47.923	52.077	62.840	37.160	86.43	224	0.900	bicubic	-47.207	-36.240	+111
356	repvgg_b2g4.rvgg_in1k	47.810	52.190	64.397	35.603	61.76	224	0.875	bilinear	-46.020	-34.533	+358
357	mixer_b16_224.miil_in21k_ft_in1k	47.793	52.207	63.403	36.597	59.88	224	0.875	bilinear	-47.087	-35.677	+168
358	vit_relpos_base_patch16_clsgap_224.sw_in1k	47.760	52.240	62.410	37.590	86.43	224	0.900	bicubic	-47.490	-36.800	+80
359	tf_efficientnet_b5.aa_in1k	47.730	52.270	63.907	36.093	30.39	456	0.934	bicubic	-48.150	-35.443	-40
360	mvitv2_tiny.fb_in1k	47.667	52.333	62.830	37.170	24.17	224	0.900	bicubic	-47.733	-36.470	+52
361	eca_nfnet_l1.ra2_in1k	47.653	52.347	62.767	37.233	41.41	320	1.000	bicubic	-48.277	-36.723	-50
362	vit_relpos_medium_patch16_cls_224.sw_in1k	47.653	52.347	61.783	38.217	38.76	224	0.900	bicubic	-47.647	-37.317	+67
363	seresnext101_32x8d.ah_in1k	47.653	52.347	61.477	38.523	93.57	288	1.000	bicubic	-48.487	-37.883	-96
364	ecaresnet101d.miil_in1k	47.630	52.370	63.540	36.460	44.57	288	0.950	bicubic	-48.000	-35.750	+6
365	regnetz_d8_evos.ch_in1k	47.623	52.377	63.807	36.193	23.46	320	1.000	bicubic	-48.517	-35.673	-101
366	resnetv2_50x3_bit.goog_in21k_ft_in1k	47.593	52.407	65.603	34.397	217.32	448	1.000	bilinear	-48.677	-33.957	-127
367	focalnet_small_srf.ms_in1k	47.547	52.453	62.510	37.490	49.89	224	0.900	bicubic	-48.083	-36.930	+4
368	pit_s_distilled_224.in1k	47.540	52.460	63.170	36.830	24.04	224	0.900	bicubic	-47.150	-35.980	+192
369	resnest50d_4s2x40d.in1k	47.483	52.517	63.803	36.197	30.42	224	0.875	bicubic	-47.217	-35.427	+187
370	dm_nfnet_f1.dm_in1k	47.457	52.543	62.083	37.917	132.63	320	0.910	bicubic	-48.843	-37.447	-133
371	efficientnet_b3_pruned.in1k	47.450	52.550	62.803	37.197	9.86	300	0.904	bicubic	-47.140	-36.127	+210
372	davit_tiny.msft_in1k	47.410	52.590	63.360	36.640	28.36	224	0.950	bicubic	-47.670	-35.900	+109
373	crossvit_18_dagger_408.in1k	47.393	52.607	60.927	39.073	44.61	408	1.000	bicubic	-48.757	-38.543	-110
374	poolformerv2_m48.sail_in1k	47.383	52.617	63.960	36.040	73.35	224	1.000	bicubic	-47.797	-35.220	+84
375	coatnet_rmlp_1_rw_224.sw_in1k	47.370	52.630	61.437	38.563	41.69	224	0.950	bicubic	-48.130	-37.813	+15
376	vit_base_patch16_224.orig_in21k_ft_in1k	47.347	52.653	61.620	38.380	86.57	224	0.900	bicubic	-47.853	-37.610	+77
377	xcit_small_24_p8_224.fb_in1k	47.290	52.710	60.993	39.007	47.63	224	1.000	bicubic	-48.610	-38.187	-60
378	efficientformer_l3.snap_dist_in1k	47.240	52.760	63.417	36.583	31.41	224	0.950	bicubic	-47.970	-35.893	+69
379	tresnet_m.miil_in21k_ft_in1k	47.227	52.773	62.000	38.000	31.39	224	0.875	bilinear	-48.153	-37.150	+38
380	wide_resnet101_2.tv2_in1k	47.207	52.793	61.877	38.123	126.89	224	0.965	bilinear	-48.033	-37.323	+62
381	tf_efficientnet_b6.aa_in1k	47.203	52.797	63.110	36.890	43.04	528	0.942	bicubic	-49.097	-36.450	-143
382	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	47.187	52.813	63.387	36.613	44.18	224	0.875	bilinear	-47.953	-35.833	+82
383	swin_base_patch4_window12_384.ms_in1k	47.183	52.817	62.027	37.973	87.90	384	1.000	bicubic	-49.197	-37.393	-166
384	resnetrs270.tf_in1k	47.127	52.873	62.000	38.000	129.86	352	1.000	bicubic	-48.933	-37.480	-100
385	tf_efficientnet_b4.aa_in1k	47.073	52.927	62.860	37.140	19.34	380	0.922	bicubic	-48.517	-36.470	-9
386	regnety_320.tv2_in1k	47.070	52.930	62.047	37.953	145.05	224	0.965	bicubic	-48.490	-37.343	-5
387	vit_base_patch16_rpn_224.sw_in1k	47.067	52.933	62.393	37.607	86.54	224	0.900	bicubic	-47.763	-36.697	+147
388	rexnetr_200.sw_in12k_ft_in1k	47.053	52.947	63.973	36.027	16.52	288	1.000	bicubic	-48.257	-35.507	+39
389	convnextv2_tiny.fcmae_ft_in1k	47.043	52.957	62.503	37.497	28.64	288	1.000	bicubic	-48.787	-36.817	-60
390	swinv2_small_window8_256.ms_in1k	47.020	52.980	62.300	37.700	49.73	256	0.900	bicubic	-48.710	-37.060	-38
391	xcit_small_12_p8_224.fb_in1k	46.973	53.027	60.527	39.473	26.21	224	1.000	bicubic	-48.447	-38.663	+15
392	xcit_large_24_p16_224.fb_in1k	46.940	53.060	60.663	39.337	189.10	224	1.000	bicubic	-48.020	-38.167	+117
393	coat_small.in1k	46.937	53.063	61.307	38.693	21.69	224	0.900	bicubic	-48.253	-37.973	+61
394	xception65p.ra3_in1k	46.923	53.077	61.087	38.913	39.82	299	0.940	bicubic	-48.737	-38.183	-28
395	maxvit_tiny_rw_224.sw_in1k	46.903	53.097	60.890	39.110	29.06	224	0.950	bicubic	-48.837	-38.550	-45
396	resnet101d.ra2_in1k	46.890	53.110	62.340	37.660	44.57	320	1.000	bicubic	-48.850	-36.870	-48
397	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	46.837	53.163	64.117	35.883	28.29	224	0.900	bicubic	-47.963	-35.173	+143
398	pvt_v2_b2_li.in1k	46.813	53.187	62.490	37.510	22.55	224	0.900	bicubic	-48.407	-36.770	+46
399	resnet152.tv2_in1k	46.807	53.193	61.070	38.930	60.19	224	0.965	bilinear	-48.233	-38.110	+94
400	regnety_640.seer_ft_in1k	46.710	53.290	63.233	36.767	281.38	384	1.000	bicubic	-49.350	-36.267	-117
401	seresnext101_64x4d.gluon_in1k	46.650	53.350	61.283	38.717	88.23	224	0.875	bicubic	-48.000	-37.687	+170
402	convnextv2_nano.fcmae_ft_in22k_in1k	46.607	53.393	62.957	37.043	15.62	288	1.000	bicubic	-48.813	-36.353	+3
403	twins_pcpvt_large.in1k	46.607	53.393	62.270	37.730	60.99	224	0.900	bicubic	-49.113	-37.220	-49
404	convnext_tiny.fb_in1k	46.587	53.413	63.187	36.813	28.59	288	1.000	bicubic	-48.623	-36.123	+42
405	swin_base_patch4_window7_224.ms_in1k	46.543	53.457	61.580	38.420	87.77	224	0.900	bicubic	-49.357	-37.860	-89
406	resnet152.a1h_in1k	46.540	53.460	60.403	39.597	60.19	288	1.000	bicubic	-49.210	-38.877	-61
407	efficientformerv2_s2.snap_dist_in1k	46.527	53.473	61.720	38.280	12.71	224	0.950	bicubic	-48.593	-37.480	+66
408	regnetv_064.ra3_in1k	46.480	53.520	62.257	37.743	30.58	288	1.000	bicubic	-49.300	-37.163	-66
409	crossvit_15_dagger_408.in1k	46.467	53.533	60.483	39.517	28.50	408	1.000	bicubic	-49.363	-38.907	-79
410	xcit_medium_24_p8_224.fb_in1k	46.467	53.533	59.653	40.347	84.32	224	1.000	bicubic	-49.393	-39.427	-83
411	resnetrs200.tf_in1k	46.437	53.563	61.067	38.933	93.21	320	1.000	bicubic	-49.913	-38.483	-189
412	swin_s3_small_224.ms_in1k	46.400	53.600	60.893	39.107	49.74	224	0.900	bicubic	-49.430	-38.287	-81
413	coatnet_1_rw_224.sw_in1k	46.393	53.607	60.063	39.937	41.72	224	0.950	bicubic	-49.217	-39.157	-41
414	gcvit_tiny.in1k	46.363	53.637	61.633	38.367	28.22	224	0.875	bicubic	-49.297	-37.697	-49
415	rexnet_300.nav_in1k	46.360	53.640	62.697	37.303	34.71	224	0.875	bicubic	-49.180	-36.593	-32
416	fbnetv3_g.ra2_in1k	46.337	53.663	62.390	37.610	16.62	288	0.950	bilinear	-48.783	-36.730	+55
417	sequencer2d_m.in1k	46.297	53.703	60.920	39.080	38.31	224	0.875	bicubic	-49.283	-38.330	-40
418	tresnet_xl.miil_in1k	46.290	53.710	61.937	38.063	78.44	224	0.875	bilinear	-48.790	-37.353	+62
419	xcit_tiny_24_p8_224.fb_dist_in1k	46.283	53.717	60.590	39.410	12.11	224	1.000	bicubic	-49.167	-38.770	-17
420	xcit_tiny_24_p8_384.fb_dist_in1k	46.260	53.740	60.730	39.270	12.11	384	1.000	bicubic	-49.970	-38.670	-170
421	deit_small_distilled_patch16_224.fb_in1k	46.173	53.827	62.423	37.577	22.44	224	0.900	bicubic	-48.427	-36.607	+156
422	gernet_m.idstcv_in1k	46.170	53.830	62.687	37.313	21.14	224	0.875	bilinear	-48.370	-36.233	+170
423	regnety_160.deit_in1k	46.167	53.833	61.823	38.177	83.59	288	1.000	bicubic	-49.703	-37.617	-103
424	crossvit_base_240.in1k	46.120	53.880	60.207	39.793	105.03	240	0.875	bicubic	-48.950	-38.773	+60
425	resnest50d_1s4x24d.in1k	46.100	53.900	62.373	37.627	25.68	224	0.875	bicubic	-48.280	-36.697	+201
426	swinv2_cr_small_ns_224.sw_in1k	46.100	53.900	60.800	39.200	49.70	224	0.900	bicubic	-49.610	-38.600	-67
427	poolformerv2_m36.sail_in1k	46.043	53.957	62.247	37.753	56.08	224	1.000	bicubic	-49.007	-37.033	+63
428	tf_efficientnet_b0.ns_jft_in1k	46.037	53.963	63.273	36.727	5.29	224	0.875	bicubic	-47.713	-35.657	+294
429	poolformerv2_s36.sail_in1k	46.030	53.970	62.247	37.753	30.79	224	1.000	bicubic	-48.670	-36.833	+126
430	resnet51q.ra2_in1k	46.027	53.973	60.910	39.090	35.70	288	1.000	bilinear	-49.173	-38.370	+21
431	nest_base_jx.goog_in1k	46.027	53.973	60.100	39.900	67.72	224	0.875	bicubic	-49.513	-39.120	-46
432	vit_small_patch16_224.augreg_in21k_ft_in1k	46.020	53.980	61.837	38.163	22.05	224	0.900	bicubic	-48.870	-37.233	+90
433	vit_relpos_medium_patch16_224.sw_in1k	45.980	54.020	61.033	38.967	38.75	224	0.900	bicubic	-49.210	-38.187	+22
434	regnety_080.ra3_in1k	45.980	54.020	60.850	39.150	39.18	288	1.000	bicubic	-49.890	-38.580	-111
435	deit3_small_patch16_224.fb_in1k	45.940	54.060	58.873	41.127	22.06	224	0.900	bicubic	-48.750	-40.307	+127
436	resnest50d.in1k	45.933	54.067	62.620	37.380	27.48	224	0.875	bilinear	-48.667	-36.530	+143
437	convnext_nano.in12k_ft_in1k	45.900	54.100	62.693	37.307	15.59	288	1.000	bicubic	-49.450	-36.757	-18
438	crossvit_18_240.in1k	45.900	54.100	60.347	39.653	43.27	240	0.875	bicubic	-49.170	-38.683	+44
439	levit_384.fb_dist_in1k	45.880	54.120	61.683	38.317	39.13	224	0.900	bicubic	-49.330	-37.477	+10
440	regnety_032.ra_in1k	45.880	54.120	61.543	38.457	19.44	288	1.000	bicubic	-49.580	-37.847	-41
441	levit_conv_384.fb_dist_in1k	45.870	54.130	61.690	38.310	39.13	224	0.900	bicubic	-49.340	-37.590	+9
442	twins_svt_base.in1k	45.863	54.137	60.973	39.027	56.07	224	0.900	bicubic	-49.697	-38.257	-60
443	twins_pcpvt_base.in1k	45.853	54.147	61.327	38.673	43.83	224	0.900	bicubic	-49.617	-37.793	-49
444	convnext_tiny_hnf.a2h_in1k	45.853	54.147	60.180	39.820	28.59	288	1.000	bicubic	-49.397	-39.020	-4
445	crossvit_18_dagger_240.in1k	45.850	54.150	59.917	40.083	44.27	240	0.875	bicubic	-49.330	-39.243	+14
446	regnetz_c16.ra3_in1k	45.790	54.210	62.737	37.263	13.46	320	1.000	bicubic	-49.590	-36.683	-31
447	vit_relpos_medium_patch16_rpn_224.sw_in1k	45.743	54.257	60.983	39.017	38.73	224	0.900	bicubic	-49.317	-38.217	+39
448	vit_srelpos_medium_patch16_224.sw_in1k	45.723	54.277	61.073	38.927	38.74	224	0.900	bicubic	-49.217	-37.967	+63
449	crossvit_15_dagger_240.in1k	45.703	54.297	60.080	39.920	28.21	240	0.875	bicubic	-49.287	-39.110	+54
450	regnetx_320.tv2_in1k	45.673	54.327	60.233	39.767	107.81	224	0.965	bicubic	-49.607	-39.057	-16
451	convmixer_1536_20.in1k	45.663	54.337	61.743	38.257	51.63	224	0.960	bicubic	-49.307	-37.327	+55
452	gc_efficientnetv2_rw_t.agc_in1k	45.657	54.343	60.193	39.807	13.68	288	1.000	bicubic	-49.633	-39.187	-20
453	flexivit_small.1200ep_in1k	45.623	54.377	59.900	40.100	22.06	240	0.950	bicubic	-49.557	-39.220	+4
454	dm_nfnet_f0.dm_in1k	45.617	54.383	61.277	38.723	71.49	256	0.900	bicubic	-50.073	-38.073	-93
455	efficientnetv2_rw_t.ra2_in1k	45.607	54.393	60.177	39.823	13.65	288	1.000	bicubic	-49.453	-39.043	+30
456	seresnext101_32x4d.gluon_in1k	45.600	54.400	61.160	38.840	48.96	224	0.875	bicubic	-48.830	-37.840	+160
457	xcit_tiny_24_p16_384.fb_dist_in1k	45.580	54.420	60.507	39.493	12.12	384	1.000	bicubic	-49.910	-38.853	-64
458	xcit_medium_24_p16_224.fb_in1k	45.537	54.463	59.007	40.993	84.40	224	1.000	bicubic	-49.593	-39.933	+12
459	xcit_small_24_p16_224.fb_in1k	45.513	54.487	58.880	41.120	47.67	224	1.000	bicubic	-49.547	-40.190	+29
460	resnext101_64x4d.c1_in1k	45.450	54.550	59.033	40.967	83.46	288	1.000	bicubic	-50.080	-40.257	-73
461	regnety_320.seer_ft_in1k	45.427	54.573	62.227	37.773	145.05	384	1.000	bicubic	-50.373	-37.163	-124
462	resnet152d.gluon_in1k	45.427	54.573	60.080	39.920	60.21	224	0.875	bicubic	-49.003	-39.010	+155
463	nfnet_l0.ra2_in1k	45.417	54.583	62.083	37.917	35.07	288	1.000	bicubic	-49.963	-37.127	-49
464	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	45.413	54.587	62.023	37.977	25.03	224	0.875	bilinear	-49.297	-37.217	+90
465	xcit_small_12_p16_224.fb_in1k	45.413	54.587	59.403	40.597	26.25	224	1.000	bicubic	-49.407	-39.657	+70
466	resnetv2_50x1_bit.goog_distilled_in1k	45.410	54.590	62.300	37.700	25.55	224	0.875	bicubic	-50.000	-37.020	-59
467	cs3se_edgenet_x.c2ns_in1k	45.393	54.607	60.447	39.553	50.72	320	1.000	bicubic	-50.607	-38.903	-170
468	resnet101.tv2_in1k	45.370	54.630	60.060	39.940	44.55	224	0.965	bilinear	-49.470	-38.970	+64
469	nest_small_jx.goog_in1k	45.350	54.650	59.040	40.960	38.35	224	0.875	bicubic	-50.190	-40.280	-84
470	tf_efficientnet_b7.aa_in1k	45.303	54.697	61.727	38.273	66.35	600	0.949	bicubic	-50.767	-37.613	-189
471	pvt_v2_b2.in1k	45.280	54.720	60.613	39.387	25.36	224	0.900	bicubic	-49.730	-38.427	+27
472	resnet61q.ra2_in1k	45.280	54.720	59.407	40.593	36.85	288	1.000	bicubic	-49.850	-39.853	-3
473	cs3edgenet_x.c2_in1k	45.257	54.743	60.260	39.740	47.82	288	1.000	bicubic	-50.203	-39.060	-73
474	nasnetalarge.tf_in1k	45.223	54.777	57.893	42.107	88.75	331	0.911	bicubic	-49.927	-41.237	-11
475	focalnet_tiny_lrf.ms_in1k	45.217	54.783	61.300	38.700	28.65	224	0.900	bicubic	-49.973	-37.920	-20
476	tresnet_xl.miil_in1k_448	45.210	54.790	61.437	38.563	78.44	448	0.875	bilinear	-50.300	-37.903	-87
477	flexivit_small.600ep_in1k	45.207	54.793	59.407	40.593	22.06	240	0.950	bicubic	-50.053	-39.973	-41
478	convit_small.fb_in1k	45.200	54.800	60.487	39.513	27.78	224	0.875	bicubic	-49.720	-38.693	+38
479	swin_small_patch4_window7_224.ms_in1k	45.183	54.817	60.357	39.643	49.61	224	0.900	bicubic	-50.527	-38.933	-121
480	sequencer2d_s.in1k	45.113	54.887	60.067	39.933	27.65	224	0.875	bicubic	-50.347	-39.193	-79
481	tf_efficientnet_b3.aa_in1k	45.103	54.897	60.643	39.357	12.23	300	0.904	bicubic	-49.807	-38.467	+37
482	rexnet_200.nav_in1k	45.057	54.943	62.323	37.677	16.37	224	0.875	bicubic	-49.613	-36.767	+87
483	maxxvit_rmlp_nano_rw_256.sw_in1k	45.050	54.950	59.663	40.337	16.78	256	0.950	bicubic	-50.290	-39.677	-61
484	resnetrs152.tf_in1k	44.950	55.050	59.690	40.310	86.62	320	1.000	bicubic	-51.010	-39.660	-178
485	deit_base_patch16_224.fb_in1k	44.870	55.130	59.177	40.823	86.57	224	0.900	bicubic	-50.150	-39.993	+12
486	flexivit_small.300ep_in1k	44.853	55.147	59.363	40.637	22.06	240	0.950	bicubic	-50.297	-39.787	-24
487	focalnet_tiny_srf.ms_in1k	44.833	55.167	61.037	38.963	28.43	224	0.900	bicubic	-50.217	-38.103	+2
488	coatnet_bn_0_rw_224.sw_in1k	44.803	55.197	60.913	39.087	27.44	224	0.950	bicubic	-50.177	-38.327	+16
489	deit_base_patch16_384.fb_in1k	44.770	55.230	59.600	40.400	86.86	384	1.000	bicubic	-50.870	-39.820	-121
490	resmlp_36_224.fb_distilled_in1k	44.763	55.237	61.073	38.927	44.69	224	0.875	bicubic	-49.797	-38.087	+99
491	cait_xxs36_384.fb_dist_in1k	44.760	55.240	59.387	40.613	17.37	384	1.000	bicubic	-50.480	-39.933	-51
492	resnet101.a1h_in1k	44.727	55.273	59.120	40.880	44.55	288	1.000	bicubic	-50.853	-40.150	-114
493	gernet_l.idstcv_in1k	44.717	55.283	58.947	41.053	31.08	256	0.875	bilinear	-50.213	-40.253	+20
494	tf_efficientnet_b2.ap_in1k	44.710	55.290	60.687	39.313	9.11	260	0.890	bicubic	-49.560	-38.403	+153
495	resmlp_24_224.fb_distilled_in1k	44.707	55.293	61.463	38.537	30.02	224	0.875	bicubic	-49.623	-37.627	+142
496	xcit_tiny_24_p16_224.fb_dist_in1k	44.707	55.293	59.417	40.583	12.12	224	1.000	bicubic	-49.533	-39.543	+157
497	regnety_032.tv2_in1k	44.653	55.347	60.900	39.100	19.44	224	0.965	bicubic	-50.217	-38.240	+29
498	ecaresnetlight.miil_in1k	44.580	55.420	60.383	39.617	30.16	288	0.950	bicubic	-49.950	-38.797	+95
499	swinv2_tiny_window16_256.ms_in1k	44.570	55.430	59.573	40.427	28.35	256	0.900	bicubic	-50.760	-39.577	-76
500	vit_relpos_small_patch16_224.sw_in1k	44.553	55.447	60.210	39.790	21.98	224	0.900	bicubic	-50.127	-38.710	+64
501	gmlp_s16_224.ra3_in1k	44.470	55.530	58.617	41.383	19.42	224	0.875	bicubic	-49.030	-40.223	+261
502	resnetv2_101.a1h_in1k	44.427	55.573	58.697	41.303	44.54	288	1.000	bicubic	-51.143	-40.573	-123
503	regnety_160.tv2_in1k	44.417	55.583	59.227	40.773	83.59	224	0.965	bicubic	-50.743	-40.023	-43
504	inception_resnet_v2.tf_ens_adv_in1k	44.393	55.607	58.117	41.883	55.84	299	0.897	bicubic	-49.727	-40.853	+170
505	tresnet_l.miil_in1k	44.387	55.613	59.947	40.053	55.99	224	0.875	bilinear	-50.513	-39.083	+15
506	maxxvitv2_nano_rw_256.sw_in1k	44.373	55.627	58.830	41.170	23.70	256	0.950	bicubic	-51.057	-40.360	-102
507	resnext101_32x4d.gluon_in1k	44.283	55.717	59.060	40.940	44.18	224	0.875	bicubic	-49.847	-39.790	+164
508	gcvit_xtiny.in1k	44.247	55.753	59.973	40.027	19.98	224	0.875	bicubic	-50.773	-39.187	-12
509	regnety_080_tv.tv2_in1k	44.180	55.820	58.787	41.213	39.38	224	0.965	bicubic	-51.120	-40.573	-81
510	maxvit_rmlp_nano_rw_256.sw_in1k	44.180	55.820	58.243	41.757	15.50	256	0.950	bicubic	-51.260	-40.817	-106
511	poolformer_m48.sail_in1k	44.160	55.840	59.153	40.847	73.47	224	0.950	bicubic	-50.940	-39.947	-35
512	regnetz_c16_evos.ch_in1k	44.143	55.857	61.073	38.927	13.49	320	0.950	bicubic	-51.497	-38.167	-145
513	vit_srelpos_small_patch16_224.sw_in1k	44.130	55.870	59.693	40.307	21.97	224	0.900	bicubic	-50.420	-39.457	+78
514	resnetv2_101x1_bit.goog_in21k_ft_in1k	44.127	55.873	61.950	38.050	44.54	448	1.000	bilinear	-51.193	-37.420	-89
515	crossvit_15_240.in1k	44.113	55.887	59.143	40.857	27.53	240	0.875	bicubic	-50.587	-39.987	+42
516	convnextv2_nano.fcmae_ft_in1k	44.100	55.900	60.167	39.833	15.62	288	1.000	bicubic	-51.040	-39.133	-51
517	pit_b_224.in1k	44.080	55.920	58.023	41.977	73.76	224	0.900	bicubic	-50.730	-41.237	+22
518	resnet152s.gluon_in1k	44.067	55.933	58.710	41.290	60.32	224	0.875	bicubic	-50.653	-40.120	+34
519	resnet50.fb_ssl_yfcc100m_ft_in1k	44.020	55.980	61.887	38.113	25.56	224	0.875	bilinear	-50.300	-37.263	+120
520	poolformer_m36.sail_in1k	44.010	55.990	59.033	40.967	56.17	224	0.950	bicubic	-51.020	-40.067	-26
521	inception_resnet_v2.tf_in1k	44.003	55.997	57.920	42.080	55.84	299	0.897	bicubic	-50.357	-40.880	+111
522	pnasnet5large.tf_in1k	43.943	56.057	56.740	43.260	86.06	331	0.911	bicubic	-51.417	-42.390	-104
523	resnext101_64x4d.gluon_in1k	43.913	56.087	58.707	41.293	83.46	224	0.875	bicubic	-50.437	-40.363	+113
524	wide_resnet50_2.tv2_in1k	43.910	56.090	59.630	40.370	68.88	224	0.965	bilinear	-50.900	-39.350	+11
525	pit_s_224.in1k	43.910	56.090	58.640	41.360	23.46	224	0.900	bicubic	-50.680	-40.500	+58
526	coatnext_nano_rw_224.sw_in1k	43.907	56.093	58.663	41.337	14.70	224	0.900	bicubic	-50.943	-40.537	+4
527	coat_lite_small.in1k	43.813	56.187	57.127	42.873	19.84	224	0.900	bicubic	-51.257	-41.993	-44
528	mobilevitv2_200.cvnets_in22k_ft_in1k	43.810	56.190	59.490	40.510	18.45	256	0.888	bicubic	-51.240	-39.660	-36
529	regnetv_040.ra3_in1k	43.783	56.217	58.453	41.547	20.64	288	1.000	bicubic	-51.947	-40.927	-178
530	tnt_s_patch16_224	43.777	56.223	59.220	40.780	23.76	224	0.900	bicubic	-50.783	-39.920	+58
531	swinv2_cr_small_224.sw_in1k	43.767	56.233	57.717	42.283	49.70	224	0.900	bicubic	-51.643	-41.343	-122
532	cspresnext50.ra_in1k	43.763	56.237	60.150	39.850	20.57	256	0.887	bilinear	-50.477	-38.900	+120
533	cait_xxs36_224.fb_dist_in1k	43.757	56.243	58.740	41.260	17.30	224	1.000	bicubic	-50.153	-40.350	+169
534	pit_xs_distilled_224.in1k	43.723	56.277	60.663	39.337	11.00	224	0.900	bicubic	-49.557	-38.057	+257
535	swin_s3_tiny_224.ms_in1k	43.717	56.283	59.507	40.493	28.33	224	0.900	bicubic	-51.203	-39.593	-20
536	tf_efficientnetv2_s.in1k	43.713	56.287	58.597	41.403	21.46	384	1.000	bicubic	-51.997	-40.783	-181
537	rexnet_150.nav_in1k	43.690	56.310	60.923	39.077	9.73	224	0.875	bicubic	-50.580	-37.897	+108
538	xcit_tiny_12_p8_224.fb_dist_in1k	43.643	56.357	58.477	41.523	6.71	224	1.000	bicubic	-51.047	-40.283	+21
539	edgenext_small.usi_in1k	43.637	56.363	59.893	40.107	5.59	320	1.000	bicubic	-51.193	-39.517	-6
540	tf_efficientnet_b5.in1k	43.620	56.380	60.130	39.870	30.39	456	0.934	bicubic	-52.250	-39.260	-214
541	efficientformer_l1.snap_dist_in1k	43.593	56.407	59.957	40.043	12.29	224	0.950	bicubic	-50.347	-38.973	+155
542	maxvit_nano_rw_256.sw_in1k	43.523	56.477	57.610	42.390	15.45	256	0.950	bicubic	-51.947	-41.780	-145
543	wide_resnet50_2.racm_in1k	43.510	56.490	59.060	40.940	68.88	288	0.950	bicubic	-51.620	-40.230	-76
544	cs3sedarknet_x.c2ns_in1k	43.503	56.497	58.770	41.230	35.40	288	1.000	bicubic	-51.907	-40.660	-137
545	coatnet_rmlp_nano_rw_224.sw_in1k	43.503	56.497	58.610	41.390	15.15	224	0.900	bicubic	-51.587	-40.560	-67
546	crossvit_small_240.in1k	43.483	56.517	58.947	41.053	26.86	240	0.875	bicubic	-51.097	-40.103	+37
547	regnety_016.tv2_in1k	43.433	56.567	59.547	40.453	11.20	224	0.965	bicubic	-50.977	-39.493	+71
548	resnet101d.gluon_in1k	43.430	56.570	58.627	41.373	44.57	224	0.875	bicubic	-50.750	-40.383	+116
549	ecaresnet50t.ra2_in1k	43.417	56.583	59.313	40.687	25.57	320	0.950	bicubic	-51.663	-39.827	-70
550	resnet101s.gluon_in1k	43.370	56.630	58.523	41.477	44.67	224	0.875	bicubic	-50.810	-40.417	+113
551	cspdarknet53.ra_in1k	43.350	56.650	59.420	40.580	27.64	256	0.887	bilinear	-50.740	-39.560	+125
552	tf_efficientnet_b4.in1k	43.333	56.667	59.450	40.550	19.34	380	0.922	bicubic	-52.147	-39.820	-158
553	xcit_tiny_24_p8_224.fb_in1k	43.323	56.677	57.277	42.723	12.11	224	1.000	bicubic	-51.577	-41.743	-34
554	xcit_tiny_12_p8_384.fb_dist_in1k	43.317	56.683	58.177	41.823	6.71	384	1.000	bicubic	-52.023	-41.133	-133
555	visformer_small.in1k	43.273	56.727	57.977	42.023	40.22	224	0.900	bicubic	-51.697	-41.193	-50
556	convmixer_768_32.in1k	43.270	56.730	59.383	40.617	21.11	224	0.960	bicubic	-51.170	-39.497	+57
557	eca_nfnet_l0.ra2_in1k	43.220	56.780	59.923	40.077	24.14	288	1.000	bicubic	-52.240	-39.357	-159
558	ecaresnet101d_pruned.miil_in1k	43.220	56.780	58.970	41.030	24.88	288	0.950	bicubic	-51.780	-40.260	-58
559	regnety_064.ra3_in1k	43.210	56.790	57.247	42.753	30.58	288	1.000	bicubic	-52.580	-42.103	-218
560	poolformerv2_s24.sail_in1k	43.193	56.807	60.430	39.570	21.34	224	1.000	bicubic	-51.277	-38.580	+46
561	regnetx_160.tv2_in1k	43.187	56.813	57.480	42.520	54.28	224	0.965	bicubic	-52.023	-41.680	-113
562	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	43.183	56.817	58.403	41.597	119.42	256	0.900	bicubic	-49.957	-39.907	+246
563	vit_small_patch32_384.augreg_in21k_ft_in1k	43.150	56.850	59.310	40.690	22.92	384	1.000	bicubic	-51.440	-39.760	+17
564	resnest26d.gluon_in1k	43.140	56.860	60.633	39.367	17.07	224	0.875	bilinear	-50.090	-38.217	+234
565	twins_pcpvt_small.in1k	43.120	56.880	58.900	41.100	24.11	224	0.900	bicubic	-51.480	-40.200	+11
566	regnetx_080.tv2_in1k	43.090	56.910	57.923	42.077	39.57	224	0.965	bicubic	-51.640	-41.107	-15
567	resmlp_36_224.fb_in1k	43.060	56.940	59.300	40.700	44.69	224	0.875	bicubic	-50.590	-39.650	+170
568	cspresnet50.ra_in1k	43.053	56.947	59.163	40.837	21.62	256	0.887	bilinear	-50.817	-39.737	+140
569	coatnet_nano_rw_224.sw_in1k	43.030	56.970	57.927	42.073	15.14	224	0.900	bicubic	-52.020	-41.153	-78
570	ecaresnet50d.miil_in1k	43.020	56.980	59.417	40.583	25.58	288	0.950	bicubic	-51.650	-39.843	-4
571	tf_efficientnet_lite4.in1k	42.990	57.010	57.620	42.380	13.01	380	0.920	bilinear	-51.880	-41.480	-43
572	twins_svt_small.in1k	42.920	57.080	58.460	41.540	24.06	224	0.900	bicubic	-51.840	-40.490	-27
573	dpn131.mx_in1k	42.917	57.083	57.130	42.870	79.25	224	0.875	bicubic	-50.863	-41.830	+147
574	mobilevitv2_200.cvnets_in22k_ft_in1k_384	42.913	57.087	58.973	41.027	18.45	384	1.000	bicubic	-52.477	-40.307	-161
575	resnet152.gluon_in1k	42.900	57.100	57.740	42.260	60.19	224	0.875	bicubic	-51.130	-41.110	+110
576	fbnetv3_d.ra2_in1k	42.857	57.143	59.687	40.313	10.31	256	0.950	bilinear	-51.013	-39.183	+131
577	resnet50.tv2_in1k	42.827	57.173	58.570	41.430	25.56	224	0.965	bilinear	-51.773	-40.520	+1
578	levit_conv_256.fb_dist_in1k	42.823	57.177	57.897	42.103	18.89	224	0.900	bicubic	-51.577	-41.163	+42
579	levit_256.fb_dist_in1k	42.813	57.187	57.893	42.107	18.89	224	0.900	bicubic	-51.587	-41.167	+40
580	resnet152c.gluon_in1k	42.813	57.187	57.720	42.280	60.21	224	0.875	bicubic	-51.067	-41.080	+126
581	tf_efficientnet_b1.ap_in1k	42.800	57.200	58.820	41.180	7.79	240	0.882	bicubic	-50.820	-39.950	+162
582	resnext50_32x4d.tv2_in1k	42.780	57.220	57.563	42.437	25.03	224	0.965	bilinear	-51.680	-41.337	+26
583	gcresnet50t.ra2_in1k	42.767	57.233	59.027	40.973	25.90	288	1.000	bicubic	-52.013	-40.093	-41
584	coatnet_0_rw_224.sw_in1k	42.753	57.247	56.230	43.770	27.44	224	0.950	bicubic	-52.147	-42.960	-63
585	tresnet_l.miil_in1k_448	42.743	57.257	58.943	41.057	55.99	448	0.875	bilinear	-52.657	-40.457	-174
586	cs3darknet_x.c2ns_in1k	42.727	57.273	58.190	41.810	35.05	288	1.000	bicubic	-52.553	-41.100	-153
587	dpn107.mx_in1k	42.710	57.290	57.160	42.840	86.92	224	0.875	bicubic	-51.300	-41.870	+103
588	seresnext50_32x4d.gluon_in1k	42.683	57.317	58.707	41.293	27.56	224	0.875	bicubic	-51.497	-40.213	+77
589	tresnet_m.miil_in1k	42.680	57.320	58.157	41.843	31.39	224	0.875	bilinear	-51.400	-40.673	+90
590	convnext_nano.d1h_in1k	42.677	57.323	57.577	42.423	15.59	288	1.000	bicubic	-52.193	-41.653	-63
591	resnetaa50d.sw_in12k_ft_in1k	42.610	57.390	58.490	41.510	25.58	288	1.000	bicubic	-52.680	-40.730	-160
592	xcit_tiny_12_p16_384.fb_dist_in1k	42.593	57.407	58.083	41.917	6.72	384	1.000	bicubic	-51.927	-40.887	+4
593	regnety_040.ra3_in1k	42.577	57.423	57.007	42.993	20.65	288	1.000	bicubic	-52.913	-42.413	-202
594	resnext101_32x8d.tv_in1k	42.563	57.437	58.303	41.697	88.79	224	0.875	bilinear	-51.217	-40.547	+125
595	nf_resnet50.ra2_in1k	42.520	57.480	59.530	40.470	25.56	288	0.940	bicubic	-51.860	-39.290	+30
596	mobilevitv2_175.cvnets_in22k_ft_in1k	42.517	57.483	58.117	41.883	14.25	256	0.888	bicubic	-52.263	-40.973	-53
597	seresnext50_32x4d.racm_in1k	42.433	57.567	58.093	41.907	27.56	288	0.950	bicubic	-52.567	-41.107	-96
598	resnetrs101.tf_in1k	42.417	57.583	57.283	42.717	63.62	288	0.940	bicubic	-52.833	-41.697	-161
599	poolformer_s36.sail_in1k	42.380	57.620	58.830	41.170	30.86	224	0.900	bicubic	-52.240	-40.290	-25
600	nest_tiny_jx.goog_in1k	42.320	57.680	57.067	42.933	17.06	224	0.875	bicubic	-52.600	-42.103	-83
601	tf_efficientnetv2_b3.in1k	42.313	57.687	57.943	42.057	14.36	300	0.904	bicubic	-52.807	-41.257	-129
602	xcit_tiny_24_p16_224.fb_in1k	42.277	57.723	56.837	43.163	12.12	224	1.000	bicubic	-51.573	-41.913	+109
603	resnet152.a1_in1k	42.273	57.727	55.530	44.470	60.19	288	1.000	bicubic	-52.817	-43.460	-125
604	convmixer_1024_20_ks9_p14.in1k	42.267	57.733	59.723	40.277	24.38	224	0.960	bicubic	-50.063	-38.707	+280
605	deit_small_patch16_224.fb_in1k	42.257	57.743	58.033	41.967	22.05	224	0.900	bicubic	-51.733	-41.007	+88
606	tf_efficientnet_cc_b1_8e.in1k	42.253	57.747	58.437	41.563	39.72	240	0.882	bicubic	-51.327	-40.253	+145
607	legacy_senet154.in1k	42.227	57.773	56.620	43.380	115.09	224	0.875	bilinear	-52.503	-42.480	-57
608	cait_xxs24_384.fb_dist_in1k	42.183	57.817	57.473	42.527	12.03	384	1.000	bicubic	-52.767	-41.657	-98
609	dpn98.mx_in1k	42.180	57.820	56.597	43.403	61.57	224	0.875	bicubic	-51.750	-42.313	+89
610	xception41p.ra3_in1k	42.157	57.843	56.883	43.117	26.91	299	0.940	bicubic	-52.903	-42.277	-123
611	tf_efficientnet_b2.aa_in1k	42.123	57.877	58.197	41.803	9.11	260	0.890	bicubic	-52.097	-40.733	+46
612	resnet50.b1k_in1k	42.080	57.920	58.153	41.847	25.56	288	1.000	bicubic	-52.430	-40.917	-10
613	resnext50_32x4d.gluon_in1k	42.050	57.950	57.673	42.327	25.03	224	0.875	bicubic	-51.620	-41.017	+123
614	convnext_nano_ols.d1h_in1k	42.023	57.977	56.867	43.133	15.65	288	1.000	bicubic	-52.557	-42.243	-30
615	pvt_v2_b1.in1k	41.960	58.040	59.597	40.403	14.01	224	0.900	bicubic	-51.530	-39.263	+148
616	xcit_tiny_12_p16_224.fb_dist_in1k	41.940	58.060	57.247	42.753	6.72	224	1.000	bicubic	-51.410	-41.443	+170
617	efficientnet_b2.ra_in1k	41.937	58.063	58.297	41.703	9.11	288	1.000	bicubic	-52.423	-40.743	+13
618	mobilevitv2_150.cvnets_in22k_ft_in1k	41.937	58.063	57.913	42.087	10.59	256	0.888	bicubic	-52.743	-41.197	-53
619	resnet50.b2k_in1k	41.910	58.090	57.673	42.327	25.56	288	1.000	bicubic	-52.390	-41.257	+23
620	efficientformerv2_s1.snap_dist_in1k	41.883	58.117	57.967	42.033	6.19	224	0.950	bicubic	-51.957	-40.923	+92
621	gcvit_xxtiny.in1k	41.833	58.167	58.443	41.557	12.00	224	0.875	bicubic	-52.217	-40.637	+60
622	tf_efficientnet_b3.in1k	41.797	58.203	58.060	41.940	12.23	300	0.904	bicubic	-52.493	-41.040	+21
623	mobilevitv2_150.cvnets_in22k_ft_in1k_384	41.790	58.210	57.807	42.193	10.59	384	1.000	bicubic	-53.560	-41.313	-203
624	resnet50d.ra2_in1k	41.787	58.213	58.023	41.977	25.58	288	0.950	bicubic	-53.023	-40.797	-87
625	resnext50_32x4d.a1h_in1k	41.753	58.247	56.443	43.557	25.03	288	1.000	bicubic	-53.237	-42.717	-123
626	gcresnext50ts.ch_in1k	41.703	58.297	57.403	42.597	15.67	288	1.000	bicubic	-52.787	-41.607	-22
627	poolformer_s24.sail_in1k	41.700	58.300	58.463	41.537	21.39	224	0.900	bicubic	-52.690	-40.597	-3
628	edgenext_small_rw.sw_in1k	41.677	58.323	58.517	41.483	7.83	320	1.000	bicubic	-52.683	-40.533	+3
629	mobilevitv2_175.cvnets_in22k_ft_in1k_384	41.673	58.327	58.010	41.990	14.25	384	1.000	bicubic	-53.587	-41.150	-194
630	hrnet_w64.ms_in1k	41.647	58.353	57.123	42.877	128.06	224	0.875	bilinear	-52.183	-41.817	+83
631	dla102x2.in1k	41.637	58.363	57.977	42.023	41.28	224	0.875	bilinear	-52.353	-40.983	+61
632	senet154.gluon_in1k	41.627	58.373	56.353	43.647	115.09	224	0.875	bicubic	-53.073	-42.617	-74
633	seresnet50.ra2_in1k	41.593	58.407	57.987	42.013	28.09	288	0.950	bicubic	-53.147	-41.123	-84
634	cs3sedarknet_l.c2ns_in1k	41.557	58.443	57.343	42.657	21.91	288	0.950	bicubic	-53.553	-41.867	-160
635	inception_v4.tf_in1k	41.557	58.443	55.380	44.620	42.68	299	0.875	bicubic	-52.823	-43.690	-8
636	haloregnetz_b.ra3_in1k	41.533	58.467	57.083	42.917	11.68	224	0.940	bicubic	-52.987	-42.087	-39
637	convnext_tiny.fb_in22k_ft_in1k	41.533	58.467	55.470	44.530	28.59	288	1.000	bicubic	-51.997	-43.130	+123
638	swinv2_cr_tiny_ns_224.sw_in1k	41.523	58.477	57.183	42.817	28.33	224	0.900	bicubic	-53.247	-41.927	-94
639	efficientnet_em.ra2_in1k	41.493	58.507	58.880	41.120	6.90	240	0.882	bicubic	-52.237	-40.050	+86
640	efficientnet_el.ra_in1k	41.490	58.510	58.293	41.707	10.59	300	0.904	bicubic	-53.180	-40.837	-73
641	tf_efficientnet_cc_b0_8e.in1k	41.487	58.513	57.363	42.637	24.01	224	0.875	bicubic	-51.383	-41.097	+203
642	convnextv2_pico.fcmae_ft_in1k	41.477	58.523	58.050	41.950	9.07	288	0.950	bicubic	-53.083	-41.120	-52
643	halo2botnet50ts_256.a1h_in1k	41.460	58.540	56.193	43.807	22.64	256	0.950	bicubic	-53.550	-42.947	-144
644	swin_tiny_patch4_window7_224.ms_in1k	41.453	58.547	57.303	42.697	28.29	224	0.900	bicubic	-53.167	-41.847	-71
645	resnetv2_50d_evos.ah_in1k	41.407	58.593	56.500	43.500	25.59	288	1.000	bicubic	-53.513	-42.600	-131
646	resnet50.a1h_in1k	41.387	58.613	56.677	43.323	25.56	224	1.000	bicubic	-52.823	-42.243	+16
647	cait_xxs24_224.fb_dist_in1k	41.370	58.630	57.520	42.480	11.96	224	1.000	bicubic	-52.080	-41.280	+124
648	swinv2_tiny_window8_256.ms_in1k	41.370	58.630	57.150	42.850	28.35	256	0.900	bicubic	-53.650	-41.820	-153
649	resnet152.tv_in1k	41.327	58.673	57.517	42.483	60.19	224	0.875	bilinear	-51.913	-41.183	+146
650	resnet50.ram_in1k	41.297	58.703	55.033	44.967	25.56	288	0.950	bicubic	-52.703	-43.847	+41
651	dpn68b.ra_in1k	41.293	58.707	55.080	44.920	12.61	288	1.000	bicubic	-52.497	-43.830	+67
652	cs3darknet_l.c2ns_in1k	41.273	58.727	57.383	42.617	21.16	288	0.950	bicubic	-53.407	-41.847	-89
653	xception71.tf_in1k	41.270	58.730	55.893	44.107	42.34	299	0.903	bicubic	-52.650	-43.057	+47
654	gernet_s.idstcv_in1k	41.260	58.740	58.823	41.177	8.17	224	0.875	bilinear	-51.180	-39.677	+224
655	inception_v3.tf_adv_in1k	41.240	58.760	56.327	43.673	23.83	299	0.875	bicubic	-51.760	-42.493	+168
656	resnet101.a1_in1k	41.207	58.793	54.273	45.727	44.55	288	1.000	bicubic	-53.733	-44.927	-144
657	dpn92.mx_in1k	41.203	58.797	56.217	43.783	37.67	224	0.875	bicubic	-52.947	-42.733	+11
658	resnetv2_50d_gn.ah_in1k	41.113	58.887	56.520	43.480	25.57	288	1.000	bicubic	-54.107	-42.510	-213
659	resnet50.c1_in1k	41.090	58.910	56.453	43.547	25.56	288	1.000	bicubic	-53.420	-42.547	-58
660	nf_regnet_b1.ra2_in1k	41.013	58.987	58.143	41.857	10.22	288	0.900	bicubic	-52.877	-40.747	+44
661	resnet50d.gluon_in1k	40.963	59.037	57.130	42.870	25.58	224	0.875	bicubic	-52.577	-41.580	+96
662	fbnetv3_b.ra2_in1k	40.960	59.040	58.650	41.350	8.60	256	0.950	bilinear	-52.670	-40.300	+78
663	resnet152.a3_in1k	40.937	59.063	55.020	44.980	60.19	224	0.950	bicubic	-53.503	-44.160	-48
664	ecaresnet50d_pruned.miil_in1k	40.910	59.090	57.633	42.367	19.94	288	0.950	bicubic	-53.390	-41.567	-23
665	inception_v3.gluon_in1k	40.907	59.093	55.627	44.373	23.83	299	0.875	bicubic	-52.653	-43.213	+88
666	resnetv2_50.a1h_in1k	40.893	59.107	56.383	43.617	25.55	288	1.000	bicubic	-53.797	-42.707	-105
667	cs3darknet_focus_l.c2ns_in1k	40.890	59.110	56.633	43.367	21.15	288	0.950	bicubic	-53.900	-42.527	-126
668	levit_conv_192.fb_dist_in1k	40.840	59.160	56.707	43.293	10.95	224	0.900	bicubic	-52.870	-42.113	+64
669	levit_192.fb_dist_in1k	40.837	59.163	56.710	43.290	10.95	224	0.900	bicubic	-52.873	-42.220	+62
670	regnety_320.pycls_in1k	40.810	59.190	56.110	43.890	145.05	224	0.875	bicubic	-53.710	-42.850	-75
671	regnetx_032.tv2_in1k	40.790	59.210	56.627	43.373	15.30	224	0.965	bicubic	-53.730	-42.143	-72
672	eva02_tiny_patch14_336.mim_in22k_ft_in1k	40.767	59.233	56.063	43.937	5.76	336	1.000	bicubic	-53.683	-43.037	-62
673	lamhalobotnet50ts_256.a1h_in1k	40.760	59.240	56.130	43.870	22.57	256	0.950	bicubic	-54.050	-43.100	-135
674	maxvit_rmlp_pico_rw_256.sw_in1k	40.757	59.243	55.203	44.797	7.52	256	0.950	bicubic	-53.453	-43.747	-14
675	legacy_xception.tf_in1k	40.753	59.247	56.397	43.603	22.86	299	0.897	bicubic	-52.867	-42.403	+69
676	resnet152.a2_in1k	40.737	59.263	54.280	45.720	60.19	288	1.000	bicubic	-54.233	-44.930	-168
677	vit_base_patch32_384.augreg_in1k	40.707	59.293	55.187	44.813	88.30	384	1.000	bicubic	-52.443	-43.423	+129
678	skresnext50_32x4d.ra_in1k	40.703	59.297	56.020	43.980	27.48	224	0.875	bicubic	-53.257	-42.810	+17
679	resnet101.gluon_in1k	40.693	59.307	56.123	43.877	44.55	224	0.875	bicubic	-53.067	-42.577	+42
680	hrnet_w40.ms_in1k	40.663	59.337	56.753	43.247	57.56	224	0.875	bilinear	-53.067	-42.047	+46
681	resmlp_24_224.fb_in1k	40.657	59.343	56.557	43.443	30.02	224	0.875	bicubic	-52.763	-42.273	+98
682	resnet50.am_in1k	40.620	59.380	57.377	42.623	25.56	224	0.875	bicubic	-53.010	-41.493	+59
683	resnext50_32x4d.ra_in1k	40.620	59.380	56.347	43.653	25.03	288	0.950	bicubic	-53.710	-42.683	-45
684	repvgg_b1.rvgg_in1k	40.603	59.397	57.843	42.157	57.42	224	0.875	bilinear	-52.837	-40.977	+90
685	ese_vovnet39b.ra_in1k	40.590	59.410	56.600	43.400	24.57	288	0.950	bicubic	-53.890	-42.460	-80
686	halonet50ts.a1h_in1k	40.573	59.427	55.197	44.803	22.73	256	0.940	bicubic	-54.147	-43.863	-133
687	tf_efficientnet_lite3.in1k	40.567	59.433	56.463	43.537	8.20	300	0.904	bilinear	-53.523	-42.497	-10
688	mobilevitv2_175.cvnets_in1k	40.537	59.463	56.273	43.727	14.25	256	0.888	bicubic	-53.693	-42.657	-33
689	xcit_tiny_12_p8_224.fb_in1k	40.537	59.463	55.647	44.353	6.71	224	1.000	bicubic	-53.813	-43.233	-55
690	dla169.in1k	40.523	59.477	57.247	42.753	53.39	224	0.875	bilinear	-53.267	-41.293	+27
691	tresnet_m.miil_in1k_448	40.513	59.487	56.690	43.310	31.39	448	0.875	bilinear	-54.147	-42.460	-121
692	regnetz_b16.ra3_in1k	40.510	59.490	55.997	44.003	9.72	288	1.000	bicubic	-54.160	-43.133	-124
693	pit_xs_224.in1k	40.497	59.503	56.540	43.460	10.62	224	0.900	bicubic	-52.393	-42.230	+147
694	resnetaa50.a1h_in1k	40.483	59.517	55.993	44.007	25.56	288	1.000	bicubic	-54.367	-43.127	-163
695	vit_base_patch16_384.augreg_in1k	40.473	59.527	53.247	46.753	86.86	384	1.000	bicubic	-53.967	-45.773	-81
696	regnetx_320.pycls_in1k	40.470	59.530	55.653	44.347	107.81	224	0.875	bicubic	-53.760	-43.167	-42
697	repvgg_b2.rvgg_in1k	40.467	59.533	57.780	42.220	89.02	224	0.875	bilinear	-53.113	-41.000	+52
698	coat_mini.in1k	40.417	59.583	55.200	44.800	10.34	224	0.900	bicubic	-54.343	-43.890	-152
699	eca_resnet33ts.ra2_in1k	40.400	59.600	57.337	42.663	19.68	288	1.000	bicubic	-53.850	-41.693	-48
700	resnet34d.ra2_in1k	40.400	59.600	56.170	43.830	21.82	288	0.950	bicubic	-53.200	-42.590	+45
701	skresnet34.ra_in1k	40.390	59.610	56.720	43.280	22.28	224	0.875	bicubic	-52.180	-41.800	+168
702	efficientnet_el_pruned.in1k	40.377	59.623	56.893	43.107	10.59	300	0.904	bicubic	-53.703	-42.127	-24
703	efficientnet_b2_pruned.in1k	40.373	59.627	56.523	43.477	8.31	260	0.890	bicubic	-53.427	-42.387	+12
704	wide_resnet101_2.tv_in1k	40.360	59.640	55.793	44.207	126.89	224	0.875	bilinear	-53.360	-43.007	+23
705	coat_lite_mini.in1k	40.357	59.643	55.697	44.303	11.01	224	0.900	bicubic	-53.113	-43.073	+62
706	legacy_seresnext101_32x4d.in1k	40.347	59.653	54.817	45.183	48.96	224	0.875	bilinear	-53.773	-43.973	-33
707	sebotnet33ts_256.a1h_in1k	40.347	59.653	53.223	46.777	13.70	256	0.940	bicubic	-53.963	-45.377	-67
708	tf_efficientnet_b0.ap_in1k	40.343	59.657	56.803	43.197	5.29	224	0.875	bicubic	-52.277	-41.567	+155
709	densenet201.tv_in1k	40.283	59.717	56.713	43.287	20.01	224	0.875	bicubic	-52.417	-41.887	+148
710	regnetx_160.pycls_in1k	40.253	59.747	56.050	43.950	54.28	224	0.875	bicubic	-53.657	-42.840	-9
711	xception65.tf_in1k	40.253	59.747	55.263	44.737	39.92	299	0.903	bicubic	-53.497	-43.597	+13
712	resnet101.a2_in1k	40.190	59.810	54.223	45.777	44.55	288	1.000	bicubic	-54.700	-45.047	-188
713	resnet50.c2_in1k	40.187	59.813	55.247	44.753	25.56	288	1.000	bicubic	-54.083	-43.793	-67
714	resnet50.ra_in1k	40.180	59.820	56.197	43.803	25.56	288	0.950	bicubic	-53.920	-42.643	-39
715	poolformerv2_s12.sail_in1k	40.163	59.837	57.450	42.550	11.89	224	1.000	bicubic	-52.727	-41.080	+126
716	resnetblur50.bt_in1k	40.157	59.843	56.187	43.813	25.56	288	0.950	bicubic	-54.013	-42.823	-50
717	mobilevitv2_200.cvnets_in1k	40.140	59.860	55.517	44.483	18.45	256	0.888	bicubic	-54.380	-43.393	-120
718	darknetaa53.c2ns_in1k	40.120	59.880	55.777	44.223	36.02	288	1.000	bilinear	-54.090	-43.223	-57
719	hrnet_w48.ms_in1k	40.107	59.893	56.623	43.377	77.47	224	0.875	bilinear	-53.903	-42.307	-32
720	vit_base_patch16_224.sam_in1k	40.097	59.903	55.427	44.573	86.57	224	0.900	bicubic	-53.793	-43.323	-17
721	resnet50_gn.a1h_in1k	40.060	59.940	54.857	45.143	25.56	288	0.950	bicubic	-54.560	-44.193	-149
722	legacy_seresnet152.in1k	40.053	59.947	55.830	44.170	66.82	224	0.875	bilinear	-53.357	-43.000	+58
723	resnet50.d_in1k	40.043	59.957	54.717	45.283	25.56	288	1.000	bicubic	-54.427	-44.283	-116
724	hrnet_w30.ms_in1k	40.037	59.963	57.120	42.880	37.71	224	0.875	bilinear	-53.373	-41.730	+57
725	regnetx_080.pycls_in1k	39.990	60.010	55.950	44.050	39.57	224	0.875	bicubic	-53.800	-42.910	-9
726	seresnet33ts.ra2_in1k	39.987	60.013	56.403	43.597	19.78	288	1.000	bicubic	-54.273	-42.597	-76
727	tf_efficientnet_b1.aa_in1k	39.967	60.033	56.123	43.877	7.79	240	0.882	bicubic	-53.753	-42.687	+1
728	resnet101c.gluon_in1k	39.957	60.043	55.283	44.717	44.57	224	0.875	bicubic	-53.733	-43.477	+6
729	convnext_pico_ols.d1_in1k	39.887	60.113	55.610	44.390	9.06	288	1.000	bicubic	-54.123	-43.420	-40
730	resmlp_12_224.fb_distilled_in1k	39.833	60.167	57.430	42.570	15.35	224	0.875	bicubic	-53.037	-41.190	+113
731	tf_efficientnetv2_b0.in1k	39.800	60.200	56.287	43.713	7.14	224	0.875	bicubic	-53.260	-42.413	+80
732	res2net50_26w_8s.in1k	39.800	60.200	54.900	45.100	48.40	224	0.875	bilinear	-53.610	-43.850	+52
733	darknet53.c2ns_in1k	39.740	60.260	55.283	44.717	41.61	288	1.000	bicubic	-54.620	-43.767	-104
734	res2net101_26w_4s.in1k	39.720	60.280	54.550	45.450	45.21	224	0.875	bilinear	-53.810	-44.020	+23
735	lambda_resnet50ts.a1h_in1k	39.720	60.280	54.373	45.627	21.54	256	0.950	bicubic	-54.850	-44.537	-147
736	hrnet_w44.ms_in1k	39.690	60.310	55.330	44.670	67.06	224	0.875	bilinear	-53.930	-43.630	+6
737	regnetx_120.pycls_in1k	39.687	60.313	55.643	44.357	46.11	224	0.875	bicubic	-54.573	-43.527	-88
738	vit_small_patch32_224.augreg_in21k_ft_in1k	39.677	60.323	55.253	44.747	22.88	224	0.900	bicubic	-52.463	-43.267	+155
739	resmlp_big_24_224.fb_in1k	39.637	60.363	54.830	45.170	129.14	224	0.875	bicubic	-54.633	-44.120	-91
740	vit_small_patch16_384.augreg_in1k	39.630	60.370	54.237	45.763	22.20	384	1.000	bicubic	-54.980	-44.903	-165
741	mixnet_xl.ra_in1k	39.623	60.377	55.873	44.127	11.90	224	0.875	bicubic	-54.607	-43.177	-85
742	xception41.tf_in1k	39.607	60.393	55.013	44.987	26.97	299	0.903	bicubic	-53.873	-43.737	+24
743	densenet161.tv_in1k	39.603	60.397	56.130	43.870	28.68	224	0.875	bicubic	-53.287	-42.660	+96
744	dla102x.in1k	39.567	60.433	56.320	43.680	26.31	224	0.875	bilinear	-53.973	-42.530	+12
745	tf_efficientnetv2_b1.in1k	39.567	60.433	55.337	44.663	8.14	240	0.882	bicubic	-54.143	-43.453	-15
746	xcit_tiny_12_p16_224.fb_in1k	39.540	60.460	55.050	44.950	6.72	224	1.000	bicubic	-52.940	-43.380	+129
747	sehalonet33ts.ra2_in1k	39.540	60.460	54.027	45.973	13.69	256	0.940	bicubic	-54.980	-45.143	-146
748	convnext_pico.d1_in1k	39.520	60.480	55.317	44.683	9.05	288	0.950	bicubic	-54.510	-43.693	-65
749	tf_efficientnet_b2.in1k	39.513	60.487	56.107	43.893	9.11	260	0.890	bicubic	-54.197	-42.683	-20
750	rexnet_130.nav_in1k	39.480	60.520	56.637	43.363	7.56	224	0.875	bicubic	-54.200	-42.063	-15
751	hrnet_w32.ms_in1k	39.473	60.527	56.123	43.877	41.23	224	0.875	bilinear	-53.487	-42.727	+77
752	levit_128.fb_dist_in1k	39.447	60.553	55.350	44.650	9.21	224	0.900	bicubic	-53.583	-43.360	+62
753	levit_conv_128.fb_dist_in1k	39.447	60.553	55.337	44.663	9.21	224	0.900	bicubic	-53.583	-43.363	+62
754	resnetv2_50x1_bit.goog_in21k_ft_in1k	39.433	60.567	57.853	42.147	25.55	448	1.000	bilinear	-55.307	-41.327	-206
755	ecaresnet50t.a1_in1k	39.417	60.583	53.680	46.320	25.57	288	1.000	bicubic	-55.473	-45.380	-232
756	regnety_064.pycls_in1k	39.393	60.607	55.770	44.230	30.58	224	0.875	bicubic	-54.737	-43.260	-87
757	regnety_120.pycls_in1k	39.347	60.653	55.277	44.723	51.82	224	0.875	bicubic	-54.663	-43.543	-69
758	gcresnet33ts.ra2_in1k	39.327	60.673	55.887	44.113	19.88	288	1.000	bicubic	-55.023	-43.213	-123
759	mobilevitv2_150.cvnets_in1k	39.323	60.677	55.230	44.770	10.59	256	0.888	bicubic	-54.727	-43.670	-77
760	tf_efficientnet_el.in1k	39.297	60.703	55.377	44.623	10.59	300	0.904	bicubic	-55.053	-43.583	-127
761	resnet101.tv_in1k	39.293	60.707	55.790	44.210	44.55	224	0.875	bilinear	-53.587	-42.870	+81
762	resnet50s.gluon_in1k	39.257	60.743	55.023	44.977	25.68	224	0.875	bicubic	-54.313	-43.817	-10
763	regnety_160.pycls_in1k	39.250	60.750	55.447	44.553	83.59	224	0.875	bicubic	-54.880	-43.573	-93
764	resnet101.a3_in1k	39.250	60.750	53.707	46.293	44.55	224	0.950	bicubic	-54.610	-45.053	-54
765	inception_v3.tf_in1k	39.223	60.777	54.310	45.690	23.83	299	0.875	bicubic	-53.967	-44.350	+36
766	resnext50_32x4d.a1_in1k	39.183	60.817	53.360	46.640	25.03	288	1.000	bicubic	-55.197	-45.420	-138
767	densenet169.tv_in1k	39.170	60.830	55.860	44.140	14.15	224	0.875	bicubic	-53.130	-42.750	+119
768	tf_efficientnetv2_b2.in1k	39.167	60.833	54.567	45.433	10.10	260	0.890	bicubic	-54.893	-44.363	-88
769	resnext50d_32x4d.bt_in1k	39.100	60.900	54.343	45.657	25.05	288	0.950	bicubic	-55.300	-44.707	-147
770	legacy_seresnet101.in1k	39.040	60.960	55.003	44.997	49.33	224	0.875	bilinear	-54.230	-43.737	+23
771	efficientnet_b1_pruned.in1k	39.007	60.993	55.633	44.367	6.33	240	0.882	bicubic	-53.973	-43.097	+56
772	repvgg_b1g4.rvgg_in1k	38.980	61.020	56.353	43.647	39.97	224	0.875	bilinear	-54.050	-42.247	+41
773	crossvit_9_dagger_240.in1k	38.967	61.033	54.870	45.130	8.78	240	0.875	bicubic	-53.793	-43.780	+81
774	resnet50.a1_in1k	38.963	61.037	53.243	46.757	25.56	288	1.000	bicubic	-55.257	-45.507	-116
775	inception_v3.tv_in1k	38.943	61.057	53.873	46.127	23.83	299	0.875	bicubic	-53.957	-44.857	+63
776	regnety_080.pycls_in1k	38.910	61.090	55.190	44.810	39.18	224	0.875	bicubic	-54.970	-43.810	-71
777	res2net101d.in1k	38.907	61.093	53.053	46.947	45.23	224	0.875	bilinear	-55.623	-45.927	-183
778	legacy_seresnext50_32x4d.in1k	38.890	61.110	54.577	45.423	27.56	224	0.875	bilinear	-54.560	-44.203	-8
779	dla102.in1k	38.833	61.167	55.310	44.690	33.27	224	0.875	bilinear	-54.417	-43.480	+15
780	visformer_tiny.in1k	38.830	61.170	55.023	44.977	10.32	224	0.900	bicubic	-54.150	-43.647	+44
781	regnety_040.pycls_in1k	38.823	61.177	55.580	44.420	20.65	224	0.875	bicubic	-54.807	-43.330	-42
782	regnetx_040.pycls_in1k	38.710	61.290	55.357	44.643	22.12	224	0.875	bicubic	-54.980	-43.573	-49
783	res2net50_14w_8s.in1k	38.710	61.290	54.073	45.927	25.06	224	0.875	bilinear	-54.320	-44.747	+33
784	dpn68.mx_in1k	38.687	61.313	54.687	45.313	12.61	224	0.875	bicubic	-53.613	-43.903	+101
785	regnetx_032.pycls_in1k	38.680	61.320	55.160	44.840	15.30	224	0.875	bicubic	-54.560	-43.560	+11
786	res2net50_26w_6s.in1k	38.680	61.320	53.773	46.227	37.05	224	0.875	bilinear	-54.910	-44.857	-40
787	resnet33ts.ra2_in1k	38.667	61.333	55.167	44.833	19.68	288	1.000	bicubic	-55.263	-43.713	-88
788	wide_resnet50_2.tv_in1k	38.650	61.350	54.463	45.537	68.88	224	0.875	bilinear	-54.810	-44.487	-19
789	regnetx_016.tv2_in1k	38.620	61.380	54.733	45.267	9.19	224	0.965	bicubic	-55.400	-44.197	-103
790	SelecSls60.in1k	38.613	61.387	55.613	44.387	30.67	224	0.875	bicubic	-54.387	-42.877	+31
791	dla60x.in1k	38.607	61.393	55.400	44.600	17.35	224	0.875	bilinear	-54.583	-43.320	+8
792	densenetblur121d.ra_in1k	38.600	61.400	55.640	44.360	8.00	288	0.950	bicubic	-54.430	-43.060	+25
793	tf_efficientnet_b0.aa_in1k	38.587	61.413	55.977	44.023	5.29	224	0.875	bicubic	-53.813	-42.493	+87
794	dla60_res2net.in1k	38.583	61.417	54.577	45.423	20.85	224	0.875	bilinear	-54.787	-44.253	-9
795	SelecSls60b.in1k	38.557	61.443	55.313	44.687	32.77	224	0.875	bicubic	-54.943	-43.467	-34
796	repvgg_a2.rvgg_in1k	38.553	61.447	55.767	44.233	28.21	224	0.875	bilinear	-54.127	-42.513	+63
797	seresnet50.a1_in1k	38.537	61.463	53.413	46.587	28.09	288	1.000	bicubic	-55.623	-45.437	-130
798	dpn68b.mx_in1k	38.530	61.470	55.183	44.817	12.61	224	0.875	bicubic	-54.260	-43.337	+51
799	hardcorenas_f.miil_green_in1k	38.513	61.487	55.653	44.347	8.20	224	0.875	bilinear	-54.467	-42.967	+27
800	resnet32ts.ra2_in1k	38.503	61.497	55.497	44.503	17.96	288	1.000	bicubic	-55.087	-43.243	-53
801	dla60_res2next.in1k	38.443	61.557	54.950	45.050	17.03	224	0.875	bilinear	-55.137	-44.120	-51
802	resmlp_12_224.fb_in1k	38.440	61.560	56.327	43.673	15.35	224	0.875	bicubic	-53.680	-42.243	+93
803	tf_efficientnet_cc_b0_4e.in1k	38.430	61.570	55.177	44.823	13.31	224	0.875	bicubic	-54.390	-43.263	+44
804	regnetx_064.pycls_in1k	38.420	61.580	54.993	45.007	26.21	224	0.875	bicubic	-55.220	-44.047	-66
805	resnet50.gluon_in1k	38.410	61.590	54.830	45.170	25.56	224	0.875	bicubic	-54.150	-43.720	+65
806	resnet50d.a1_in1k	38.403	61.597	52.860	47.140	25.58	288	1.000	bicubic	-55.997	-46.200	-183
807	regnety_008_tv.tv2_in1k	38.343	61.657	54.267	45.733	6.43	224	0.965	bicubic	-54.817	-44.413	-4
808	hrnet_w18.ms_in1k	38.267	61.733	55.660	44.340	21.30	224	0.875	bilinear	-54.503	-42.960	+43
809	tinynet_a.in1k	38.227	61.773	55.187	44.813	6.19	192	0.875	bicubic	-54.573	-43.373	+38
810	ecaresnet50t.a3_in1k	38.227	61.773	53.650	46.350	25.57	224	0.950	bicubic	-55.633	-45.200	-100
811	resnet34.a1_in1k	38.220	61.780	52.373	47.627	21.80	288	1.000	bicubic	-54.780	-46.257	+11
812	densenet121.ra_in1k	38.177	61.823	55.140	44.860	7.98	288	0.950	bicubic	-54.523	-43.500	+46
813	mixnet_l.ft_in1k	38.173	61.827	54.800	45.200	7.33	224	0.875	bicubic	-55.067	-43.950	-16
814	regnety_032.pycls_in1k	38.170	61.830	54.370	45.630	19.44	224	0.875	bicubic	-55.290	-44.580	-46
815	poolformer_s12.sail_in1k	38.157	61.843	56.207	43.793	11.92	224	0.900	bicubic	-54.343	-42.193	+57
816	hardcorenas_e.miil_green_in1k	38.157	61.843	55.173	44.827	8.07	224	0.875	bilinear	-54.783	-43.497	+16
817	efficientnet_b1.ft_in1k	38.080	61.920	54.000	46.000	7.79	256	1.000	bicubic	-54.940	-44.710	+2
818	ecaresnet50t.a2_in1k	38.053	61.947	52.967	47.033	25.57	288	1.000	bicubic	-56.517	-46.073	-233
819	gmixer_24_224.ra3_in1k	38.050	61.950	52.077	47.923	24.72	224	0.875	bicubic	-54.630	-46.453	+41
820	vit_base_patch16_224.augreg_in1k	38.043	61.957	50.710	49.290	86.57	224	0.900	bicubic	-55.307	-48.050	-31
821	coat_lite_tiny.in1k	38.033	61.967	53.463	46.537	5.72	224	0.900	bicubic	-54.827	-45.167	+24
822	resnetrs50.tf_in1k	37.970	62.030	53.303	46.697	35.69	224	0.910	bicubic	-56.060	-45.437	-138
823	resnext50_32x4d.a2_in1k	37.933	62.067	52.353	47.647	25.03	288	1.000	bicubic	-56.287	-46.687	-164
824	mobilevitv2_125.cvnets_in1k	37.893	62.107	54.067	45.933	7.48	256	0.888	bicubic	-55.587	-44.773	-59
825	resnet50c.gluon_in1k	37.880	62.120	54.117	45.883	25.58	224	0.875	bicubic	-55.030	-44.583	+11
826	hardcorenas_c.miil_green_in1k	37.857	62.143	55.717	44.283	5.52	224	0.875	bilinear	-54.493	-42.623	+57
827	efficientformerv2_s0.snap_dist_in1k	37.820	62.180	54.047	45.953	3.60	224	0.950	bicubic	-54.050	-44.323	+77
828	res2net50_26w_4s.in1k	37.810	62.190	53.080	46.920	25.70	224	0.875	bilinear	-55.370	-45.580	-26
829	efficientnet_es.ra_in1k	37.783	62.217	54.957	45.043	5.44	224	0.875	bicubic	-55.137	-43.603	+4
830	resnest14d.gluon_in1k	37.773	62.227	56.473	43.527	10.61	224	0.875	bilinear	-53.377	-41.857	+102
831	convnext_femto.d1_in1k	37.733	62.267	54.100	45.900	5.22	288	0.950	bicubic	-55.707	-44.550	-58
832	resnext50_32x4d.tv_in1k	37.727	62.273	54.103	45.897	25.03	224	0.875	bilinear	-55.173	-44.217	+5
833	pit_ti_distilled_224.in1k	37.707	62.293	55.643	44.357	5.10	224	0.900	bicubic	-53.023	-42.607	+111
834	ecaresnet26t.ra2_in1k	37.667	62.333	54.357	45.643	16.01	320	0.950	bicubic	-56.273	-44.673	-137
835	seresnet50.a2_in1k	37.667	62.333	52.373	47.627	28.09	288	1.000	bicubic	-56.783	-46.517	-224
836	vit_base_patch32_224.augreg_in1k	37.563	62.437	51.810	48.190	88.22	224	0.900	bicubic	-53.027	-45.910	+111
837	hardcorenas_d.miil_green_in1k	37.530	62.470	54.710	45.290	7.50	224	0.875	bilinear	-55.080	-43.800	+28
838	res2next50.in1k	37.483	62.517	52.853	47.147	24.67	224	0.875	bilinear	-55.667	-45.787	-33
839	convnextv2_femto.fcmae_ft_in1k	37.477	62.523	53.507	46.493	5.23	288	0.950	bicubic	-56.273	-45.463	-116
840	resnet50.bt_in1k	37.420	62.580	53.860	46.140	25.56	288	0.950	bicubic	-56.540	-45.070	-146
841	hrnet_w18.ms_aug_in1k	37.337	62.663	54.123	45.877	21.30	224	0.950	bilinear	-56.143	-44.857	-77
842	lambda_resnet26t.c1_in1k	37.300	62.700	53.560	46.440	10.96	256	0.940	bicubic	-56.130	-45.170	-65
843	convnext_femto_ols.d1_in1k	37.253	62.747	53.047	46.953	5.23	288	0.950	bicubic	-56.137	-45.863	-59
844	hardcorenas_b.miil_green_in1k	37.240	62.760	55.037	44.963	5.18	224	0.875	bilinear	-54.680	-43.373	+57
845	resnet50d.a2_in1k	37.227	62.773	51.743	48.257	25.58	288	1.000	bicubic	-57.233	-47.287	-236
846	mobilenetv3_large_100.miil_in21k_ft_in1k	37.223	62.777	53.540	46.460	5.48	224	0.875	bilinear	-55.037	-44.700	+45
847	res2net50d.in1k	37.223	62.777	51.387	48.613	25.72	224	0.875	bilinear	-57.057	-47.473	-203
848	eca_halonext26ts.c1_in1k	37.170	62.830	53.103	46.897	10.76	256	0.940	bicubic	-56.380	-45.717	-93
849	cs3darknet_focus_m.c2ns_in1k	37.140	62.860	53.910	46.090	9.30	288	0.950	bicubic	-55.960	-44.840	-39
850	res2net50_48w_2s.in1k	37.120	62.880	53.327	46.673	25.29	224	0.875	bilinear	-55.660	-45.143	0
851	lambda_resnet26rpt_256.c1_in1k	37.103	62.897	53.860	46.140	10.99	256	0.940	bicubic	-56.327	-45.020	-75
852	vit_small_patch16_224.augreg_in1k	37.077	62.923	51.547	48.453	22.05	224	0.900	bicubic	-56.373	-47.233	-80
853	rexnet_100.nav_in1k	37.063	62.937	54.047	45.953	4.80	224	0.875	bicubic	-55.767	-44.553	-7
854	bat_resnext26ts.ch_in1k	37.057	62.943	53.743	46.257	10.73	256	0.900	bicubic	-56.063	-44.987	-45
855	resnet50.a2_in1k	37.047	62.953	51.347	48.653	25.56	288	1.000	bicubic	-57.083	-47.593	-183
856	dla60.in1k	37.043	62.957	54.213	45.787	22.04	224	0.875	bilinear	-55.597	-44.417	+6
857	tf_efficientnet_b1.in1k	37.017	62.983	53.413	46.587	7.79	240	0.882	bicubic	-55.923	-45.117	-27
858	regnety_016.pycls_in1k	37.013	62.987	54.083	45.917	11.20	224	0.875	bicubic	-55.997	-44.587	-38
859	tf_mixnet_l.in1k	36.967	63.033	52.597	47.403	7.33	224	0.875	bicubic	-56.063	-45.933	-41
860	botnet26t_256.c1_in1k	36.963	63.037	53.053	46.947	12.49	256	0.950	bicubic	-56.477	-45.737	-85
861	resnet34.a2_in1k	36.953	63.047	51.433	48.567	21.80	288	1.000	bicubic	-55.617	-47.137	+7
862	legacy_seresnet50.in1k	36.863	63.137	53.473	46.527	28.09	224	0.875	bilinear	-55.807	-45.177	-1
863	halonet26t.a1h_in1k	36.843	63.157	52.270	47.730	12.48	256	0.950	bicubic	-56.747	-46.470	-115
864	densenet121.tv_in1k	36.807	63.193	54.030	45.970	7.98	224	0.875	bicubic	-54.593	-44.220	+57
865	tf_efficientnet_lite2.in1k	36.797	63.203	53.313	46.687	6.09	260	0.890	bicubic	-55.793	-45.227	+2
866	mobilenetv2_120d.ra_in1k	36.793	63.207	54.047	45.953	5.83	224	0.875	bicubic	-55.817	-44.383	-2
867	tf_efficientnet_lite1.in1k	36.727	63.273	53.580	46.420	5.42	240	0.882	bicubic	-55.563	-44.920	+20
868	hardcorenas_a.miil_green_in1k	36.707	63.293	54.930	45.070	5.26	224	0.875	bilinear	-54.913	-43.360	+44
869	regnetx_016.pycls_in1k	36.693	63.307	53.307	46.693	9.19	224	0.875	bicubic	-55.837	-45.243	+3
870	eca_botnext26ts_256.c1_in1k	36.690	63.310	52.493	47.507	10.59	256	0.950	bicubic	-56.660	-46.197	-83
871	levit_conv_128s.fb_dist_in1k	36.623	63.377	53.137	46.863	7.78	224	0.900	bicubic	-54.877	-45.263	+45
872	levit_128s.fb_dist_in1k	36.623	63.377	53.130	46.870	7.78	224	0.900	bicubic	-54.887	-45.270	+45
873	efficientnet_b0.ra_in1k	36.593	63.407	53.477	46.523	5.29	224	0.875	bicubic	-55.887	-45.203	+2
874	resnext50_32x4d.a3_in1k	36.553	63.447	51.143	48.857	25.03	224	0.950	bicubic	-56.997	-47.537	-120
875	vit_base_patch32_224.sam_in1k	36.543	63.457	53.043	46.957	88.22	224	0.900	bicubic	-53.327	-44.557	+86
876	xcit_nano_12_p8_224.fb_dist_in1k	36.513	63.487	52.873	47.127	3.05	224	1.000	bicubic	-55.917	-45.657	+3
877	cs3darknet_m.c2ns_in1k	36.480	63.520	53.230	46.770	9.31	288	0.950	bicubic	-56.800	-45.560	-85
878	mobilevitv2_100.cvnets_in1k	36.397	63.603	53.073	46.927	4.90	256	0.888	bicubic	-56.743	-45.687	-71
879	tf_efficientnet_em.in1k	36.390	63.610	52.843	47.157	6.90	240	0.882	bicubic	-56.800	-45.647	-79
880	resnet50d.a3_in1k	36.337	63.663	51.330	48.670	25.58	224	0.950	bicubic	-57.073	-47.360	-98
881	skresnet18.ra_in1k	36.313	63.687	54.183	45.817	11.96	224	0.875	bicubic	-53.867	-43.597	+78
882	repvgg_b0.rvgg_in1k	36.293	63.707	54.063	45.937	15.82	224	0.875	bilinear	-55.387	-44.387	+26
883	resnet34.bt_in1k	36.257	63.743	52.757	47.243	21.80	288	0.950	bicubic	-56.023	-45.843	+5
884	resnet50.tv_in1k	36.183	63.817	52.797	47.203	25.56	224	0.875	bilinear	-55.937	-45.613	+13
885	legacy_seresnet34.in1k	36.150	63.850	52.570	47.430	21.96	224	0.875	bilinear	-55.340	-45.630	+33
886	xcit_nano_12_p16_384.fb_dist_in1k	36.140	63.860	53.247	46.753	3.05	384	1.000	bicubic	-56.000	-45.263	+8
887	coat_tiny.in1k	36.117	63.883	51.047	48.953	5.50	224	0.900	bicubic	-57.393	-47.633	-127
888	resnet34.tv_in1k	36.070	63.930	53.537	46.463	21.80	224	0.875	bilinear	-54.230	-44.433	+66
889	deit_tiny_distilled_patch16_224.fb_in1k	36.023	63.977	54.247	45.753	5.91	224	0.900	bicubic	-55.057	-44.023	+48
890	mobilenetv2_140.ra_in1k	35.997	64.003	53.963	46.037	6.11	224	0.875	bicubic	-56.053	-44.287	+9
891	convnextv2_atto.fcmae_ft_in1k	35.990	64.010	51.183	48.817	3.71	288	0.950	bicubic	-56.930	-47.497	-56
892	resnet50.a3_in1k	35.950	64.050	50.487	49.513	25.56	224	0.950	bicubic	-56.990	-48.173	-60
893	tf_efficientnet_lite0.in1k	35.940	64.060	53.490	46.510	4.65	224	0.875	bicubic	-55.340	-44.350	+30
894	SelecSls42b.in1k	35.823	64.177	52.473	47.527	32.46	224	0.875	bicubic	-56.657	-46.157	-17
895	xcit_nano_12_p8_384.fb_dist_in1k	35.797	64.203	52.297	47.703	3.05	384	1.000	bicubic	-57.503	-46.563	-105
896	seresnext26ts.ch_in1k	35.780	64.220	53.460	46.540	10.39	288	1.000	bicubic	-57.160	-45.120	-68
897	resnet34.gluon_in1k	35.780	64.220	52.183	47.817	21.80	224	0.875	bicubic	-55.310	-45.987	+40
898	convnext_atto.d2_in1k	35.773	64.227	52.323	47.677	3.70	288	0.950	bicubic	-56.997	-46.337	-46
899	seresnet50.a3_in1k	35.757	64.243	51.163	48.837	28.09	224	0.950	bicubic	-56.603	-47.167	-17
900	resnet26t.ra2_in1k	35.727	64.273	53.583	46.417	16.01	320	1.000	bicubic	-57.193	-45.107	-66
901	efficientnet_lite0.ra_in1k	35.647	64.353	53.667	46.333	4.65	224	0.875	bicubic	-55.613	-44.573	+24
902	dla34.in1k	35.637	64.363	52.797	47.203	15.74	224	0.875	bilinear	-55.583	-45.373	+24
903	mixnet_m.ft_in1k	35.633	64.367	52.430	47.570	5.01	224	0.875	bicubic	-56.637	-45.930	-13
904	resnet18.fb_ssl_yfcc100m_ft_in1k	35.613	64.387	53.753	46.247	11.69	224	0.875	bilinear	-55.087	-44.277	+41
905	mobilenetv3_rw.rmsp_in1k	35.543	64.457	53.707	46.293	5.48	224	0.875	bicubic	-56.007	-44.573	+10
906	regnetx_008.tv2_in1k	35.533	64.467	51.477	48.523	7.26	224	0.965	bicubic	-56.957	-46.953	-32
907	convnext_atto_ols.a2_in1k	35.403	64.597	51.390	48.610	3.70	288	0.950	bicubic	-57.577	-47.140	-82
908	efficientnet_es_pruned.in1k	35.387	64.613	52.837	47.163	5.44	224	0.875	bicubic	-56.303	-45.573	-1
909	mobilenetv2_110d.ra_in1k	35.307	64.693	52.870	47.130	4.52	224	0.875	bicubic	-56.023	-45.320	+13
910	tf_mixnet_m.in1k	35.197	64.803	50.990	49.010	5.01	224	0.875	bicubic	-57.013	-47.430	-18
911	hrnet_w18_small_v2.ms_in1k	35.163	64.837	52.423	47.577	15.60	224	0.875	bilinear	-55.997	-45.917	+19
912	xcit_nano_12_p16_224.fb_dist_in1k	35.120	64.880	52.547	47.453	3.05	224	1.000	bicubic	-55.070	-45.203	+46
913	resnet34.a3_in1k	35.033	64.967	50.503	49.497	21.80	224	0.950	bicubic	-55.207	-47.377	+42
914	convit_tiny.fb_in1k	35.027	64.973	51.777	48.223	5.71	224	0.875	bicubic	-55.523	-46.413	+34
915	gcresnext26ts.ch_in1k	35.023	64.977	51.493	48.507	10.48	288	1.000	bicubic	-57.717	-47.117	-59
916	eca_resnext26ts.ch_in1k	34.930	65.070	52.373	47.627	10.30	288	1.000	bicubic	-57.820	-46.337	-61
917	regnety_004.tv2_in1k	34.923	65.077	51.263	48.737	4.34	224	0.965	bicubic	-56.697	-46.907	-6
918	tinynet_b.in1k	34.867	65.133	52.003	47.997	3.73	188	0.875	bicubic	-56.253	-46.057	+16
919	resnext26ts.ra2_in1k	34.847	65.153	52.710	47.290	10.30	288	1.000	bicubic	-57.533	-45.680	-38
920	regnety_008.pycls_in1k	34.780	65.220	51.737	48.263	6.26	224	0.875	bicubic	-57.110	-46.673	-17
921	pit_ti_224.in1k	34.670	65.330	52.160	47.840	4.85	224	0.900	bicubic	-55.750	-45.850	+31
922	tf_efficientnet_b0.in1k	34.627	65.373	51.140	48.860	5.29	224	0.875	bicubic	-57.653	-47.410	-33
923	crossvit_9_240.in1k	34.620	65.380	51.770	48.230	8.55	240	0.875	bicubic	-56.440	-46.530	+16
924	mobilenetv3_large_100.ra_in1k	34.610	65.390	52.840	47.160	5.48	224	0.875	bicubic	-56.860	-45.480	-5
925	mixer_b16_224.goog_in21k_ft_in1k	34.427	65.573	48.107	51.893	59.88	224	0.875	bicubic	-56.713	-49.293	+8
926	pvt_v2_b0.in1k	34.400	65.600	53.103	46.897	3.67	224	0.900	bicubic	-54.570	-44.587	+49
927	tf_efficientnet_es.in1k	34.257	65.743	51.357	48.643	5.44	224	0.875	bicubic	-57.853	-47.073	-29
928	fbnetc_100.rmsp_in1k	34.253	65.747	51.190	48.810	5.57	224	0.875	bilinear	-57.027	-46.900	-4
929	resnet18d.ra2_in1k	34.220	65.780	51.767	48.233	11.71	288	0.950	bicubic	-56.580	-46.393	+12
930	regnety_006.pycls_in1k	34.153	65.847	51.253	48.747	6.06	224	0.875	bicubic	-57.407	-47.177	-16
931	resnet18.a1_in1k	33.973	66.027	49.410	50.590	11.69	288	1.000	bicubic	-56.227	-48.350	+26
932	tf_mobilenetv3_large_100.in1k	33.960	66.040	51.470	48.530	5.48	224	0.875	bilinear	-57.460	-46.790	-12
933	regnetx_008.pycls_in1k	33.803	66.197	50.543	49.457	7.26	224	0.875	bicubic	-57.377	-47.827	-4
934	mnasnet_100.rmsp_in1k	33.780	66.220	51.170	48.830	4.38	224	0.875	bicubic	-57.430	-47.050	-6
935	lcnet_100.ra2_in1k	33.773	66.227	52.090	47.910	2.95	224	0.875	bicubic	-55.137	-45.290	+42
936	semnasnet_075.rmsp_in1k	33.770	66.230	52.403	47.597	2.91	224	0.875	bicubic	-56.450	-45.547	+20
937	ese_vovnet19b_dw.ra_in1k	33.753	66.247	50.930	49.070	6.54	288	0.950	bicubic	-59.007	-47.560	-84
938	regnetx_004_tv.tv2_in1k	33.710	66.290	49.803	50.197	5.50	224	0.965	bicubic	-57.450	-48.307	-7
939	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	33.630	66.370	50.687	49.313	6.36	384	1.000	bicubic	-58.100	-47.743	-33
940	mobilevit_s.cvnets_in1k	33.627	66.373	49.297	50.703	5.58	256	0.900	bicubic	-59.523	-49.483	-136
941	xcit_nano_12_p8_224.fb_in1k	33.580	66.420	50.220	49.780	3.05	224	1.000	bicubic	-57.520	-48.010	-6
942	vit_tiny_patch16_384.augreg_in21k_ft_in1k	33.543	66.457	51.083	48.917	5.79	384	1.000	bicubic	-59.877	-47.727	-164
943	semnasnet_100.rmsp_in1k	33.503	66.497	50.787	49.213	3.89	224	0.875	bicubic	-58.167	-47.503	-33
944	spnasnet_100.rmsp_in1k	33.490	66.510	51.280	48.720	4.42	224	0.875	bilinear	-57.100	-46.670	+2
945	mixnet_s.ft_in1k	33.473	66.527	50.997	49.003	4.13	224	0.875	bicubic	-58.297	-47.313	-40
946	crossvit_tiny_240.in1k	33.353	66.647	49.897	50.103	7.01	240	0.875	bicubic	-57.177	-48.053	+4
947	mobilevitv2_075.cvnets_in1k	33.340	66.660	50.110	49.890	2.87	256	0.888	bicubic	-58.630	-48.190	-47
948	vgg19_bn.tv_in1k	33.240	66.760	50.777	49.223	143.68	224	0.875	bilinear	-57.750	-47.323	-8
949	ghostnet_100.in1k	33.190	66.810	51.160	48.840	5.18	224	0.875	bilinear	-57.260	-46.660	+2
950	regnetx_006.pycls_in1k	33.147	66.853	50.243	49.757	6.20	224	0.875	bicubic	-57.643	-47.847	-8
951	edgenext_x_small.in1k	33.110	66.890	49.003	50.997	2.34	288	1.000	bicubic	-58.470	-49.187	-38
952	seresnext26t_32x4d.bt_in1k	33.087	66.913	50.270	49.730	16.81	288	0.950	bicubic	-60.263	-48.390	-164
953	resnet18.tv_in1k	33.057	66.943	51.173	48.827	11.69	224	0.875	bilinear	-55.093	-45.947	+29
954	seresnext26d_32x4d.bt_in1k	32.970	67.030	49.830	50.170	16.81	288	0.950	bicubic	-60.090	-48.880	-143
955	xcit_nano_12_p16_224.fb_in1k	32.953	67.047	49.977	50.023	3.05	224	1.000	bicubic	-56.017	-47.433	+21
956	legacy_seresnext26_32x4d.in1k	32.770	67.230	49.237	50.763	16.79	224	0.875	bicubic	-59.830	-49.173	-90
957	hrnet_w18_small.ms_in1k	32.653	67.347	50.590	49.410	13.19	224	0.875	bilinear	-57.217	-47.300	+2
958	deit_tiny_patch16_224.fb_in1k	32.653	67.347	50.260	49.740	5.72	224	0.900	bicubic	-56.957	-47.700	+8
959	legacy_seresnet18.in1k	32.600	67.400	50.317	49.683	11.78	224	0.875	bicubic	-56.660	-47.373	+11
960	mobilenetv2_100.ra_in1k	32.523	67.477	50.803	49.197	3.50	224	0.875	bicubic	-57.327	-47.027	+2
961	regnetx_004.pycls_in1k	32.513	67.487	49.340	50.660	5.16	224	0.875	bicubic	-56.947	-48.420	+6
962	resnet26d.bt_in1k	32.420	67.580	49.997	50.003	16.01	288	0.950	bicubic	-60.130	-48.653	-91
963	resnet18.gluon_in1k	32.413	67.587	49.740	50.260	11.69	224	0.875	bicubic	-56.247	-47.350	+15
964	regnety_004.pycls_in1k	32.320	67.680	49.467	50.533	4.34	224	0.875	bicubic	-58.450	-48.603	-21
965	resnet18.a2_in1k	32.223	67.777	47.887	52.113	11.69	288	1.000	bicubic	-57.257	-49.743	+1
966	tf_mixnet_s.in1k	32.190	67.810	48.530	51.470	4.13	224	0.875	bicubic	-59.490	-49.710	-57
967	resnet26.bt_in1k	32.173	67.827	49.443	50.557	16.00	288	0.950	bicubic	-59.947	-49.107	-71
968	vit_tiny_patch16_224.augreg_in21k_ft_in1k	32.020	67.980	49.027	50.973	5.72	224	0.900	bicubic	-59.900	-49.313	-66
969	tf_mobilenetv3_large_075.in1k	31.850	68.150	49.117	50.883	3.99	224	0.875	bilinear	-58.480	-48.753	-16
970	tf_mobilenetv3_large_minimal_100.in1k	31.600	68.400	49.353	50.647	3.92	224	0.875	bilinear	-57.560	-47.957	+3
971	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	30.790	69.210	47.663	52.337	6.34	224	0.900	bicubic	-58.550	-50.037	-2
972	tinynet_c.in1k	30.513	69.487	48.480	51.520	2.46	184	0.875	bicubic	-57.887	-48.780	+7
973	lcnet_075.ra2_in1k	30.373	69.627	48.770	51.230	2.36	224	0.875	bicubic	-56.587	-47.780	+17
974	vgg16_bn.tv_in1k	30.357	69.643	47.280	52.720	138.37	224	0.875	bilinear	-60.183	-50.710	-25
975	resnet18.a3_in1k	30.097	69.903	46.337	53.663	11.69	224	0.950	bicubic	-56.973	-50.323	+13
976	edgenext_xx_small.in1k	29.750	70.250	46.487	53.513	1.33	288	1.000	bicubic	-60.050	-51.013	-13
977	regnety_002.pycls_in1k	29.710	70.290	46.830	53.170	3.16	224	0.875	bicubic	-58.480	-50.610	+4
978	mobilevit_xs.cvnets_in1k	29.590	70.410	46.047	53.953	2.32	256	0.900	bicubic	-61.620	-52.013	-51
979	mobilenetv3_small_100.lamb_in1k	29.050	70.950	47.200	52.800	2.54	224	0.875	bicubic	-57.130	-49.250	+13
980	mnasnet_small.lamb_in1k	28.953	71.047	47.287	52.713	2.03	224	0.875	bicubic	-56.527	-48.713	+14
981	vgg13_bn.tv_in1k	28.863	71.137	46.730	53.270	133.05	224	0.875	bilinear	-60.337	-50.800	-9
982	resnet10t.c3_in1k	28.853	71.147	46.903	53.097	5.44	224	0.950	bicubic	-57.827	-49.827	+9
983	regnetx_002.pycls_in1k	28.840	71.160	45.450	54.550	2.68	224	0.875	bicubic	-58.520	-51.550	+2
984	mobilenetv2_050.lamb_in1k	28.660	71.340	46.593	53.407	1.97	224	0.875	bicubic	-56.330	-49.027	+13
985	vgg19.tv_in1k	28.580	71.420	45.167	54.833	143.67	224	0.875	bilinear	-61.100	-52.383	-21
986	mobilevitv2_050.cvnets_in1k	28.567	71.433	45.193	54.807	1.37	256	0.888	bicubic	-60.463	-52.397	-12
987	dla60x_c.in1k	28.443	71.557	46.210	53.790	1.32	224	0.875	bilinear	-58.687	-50.930	0
988	vgg11_bn.tv_in1k	28.430	71.570	46.460	53.540	132.87	224	0.875	bilinear	-59.970	-50.790	-8
989	tinynet_d.in1k	27.960	72.040	45.877	54.123	2.34	152	0.875	bicubic	-57.480	-50.143	+6
990	vgg16.tv_in1k	27.877	72.123	44.680	55.320	138.36	224	0.875	bilinear	-61.493	-52.840	-22
991	resnet14t.c3_in1k	27.557	72.443	44.697	55.303	10.08	224	0.950	bicubic	-61.693	-52.743	-20
992	tf_mobilenetv3_small_100.in1k	27.280	72.720	44.407	55.593	2.54	224	0.875	bilinear	-58.660	-51.993	+1
993	mixer_l16_224.goog_in21k_ft_in1k	26.860	73.140	37.913	62.087	208.20	224	0.875	bicubic	-60.130	-56.157	-4
994	mobilenetv3_small_075.lamb_in1k	26.537	73.463	43.883	56.117	2.04	224	0.875	bicubic	-57.583	-51.637	+6
995	vgg11.tv_in1k	26.537	73.463	43.470	56.530	132.86	224	0.875	bilinear	-60.813	-53.630	-9
996	mobilevit_xxs.cvnets_in1k	26.340	73.660	43.050	56.950	1.27	256	0.900	bicubic	-61.590	-54.140	-13
997	vgg13.tv_in1k	26.273	73.727	43.353	56.647	133.05	224	0.875	bilinear	-61.297	-53.757	-13
998	dla46x_c.in1k	26.220	73.780	43.770	56.230	1.07	224	0.875	bilinear	-59.210	-52.660	-2
999	lcnet_050.ra2_in1k	26.210	73.790	44.570	55.430	1.88	224	0.875	bicubic	-56.820	-50.430	+2
1000	tf_mobilenetv3_small_075.in1k	26.197	73.803	43.630	56.370	2.04	224	0.875	bilinear	-58.303	-52.250	-1
1001	dla46_c.in1k	25.513	74.487	43.783	56.217	1.30	224	0.875	bilinear	-59.187	-52.427	-3
1002	tf_mobilenetv3_small_minimal_100.in1k	25.103	74.897	42.940	57.060	2.04	224	0.875	bilinear	-57.567	-52.080	0
1003	tinynet_e.in1k	23.357	76.643	41.070	58.930	2.04	106	0.875	bicubic	-56.463	-52.900	0
1004	mobilenetv3_small_050.lamb_in1k	21.740	78.260	38.753	61.247	1.59	224	0.875	bicubic	-56.350	-54.257	0