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	90.457	9.543	97.267	2.733	305.08	448	1.000	bicubic	-7.373	-2.553	+6
5	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	90.293	9.707	97.170	2.830	305.08	448	1.000	bicubic	-7.737	-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	87.980	12.020	95.610	4.390	305.08	448	1.000	bicubic	-10.170	-4.270	-8
11	eva02_large_patch14_448.mim_in22k_ft_in1k	87.587	12.413	95.730	4.270	305.08	448	1.000	bicubic	-10.273	-4.060	-3
12	regnety_1280.swag_lc_in1k	86.943	13.057	95.737	4.263	644.81	224	0.965	bicubic	-10.447	-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	83.923	16.077	93.873	6.127	304.53	336	1.000	bicubic	-13.677	-5.857	+18
15	vit_large_patch14_clip_336.laion2b_ft_in1k	83.610	16.390	93.510	6.490	304.53	336	1.000	bicubic	-13.620	-6.210	+63
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	+80
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	82.323	17.677	92.907	7.093	304.20	224	1.000	bicubic	-15.117	-6.773	+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	81.700	18.300	92.263	7.737	304.20	224	1.000	bicubic	-15.320	-7.407	+90
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	+48
24	regnety_320.swag_lc_in1k	81.317	18.683	93.153	6.847	145.05	224	0.965	bicubic	-15.463	-6.467	+123
25	eva_large_patch14_196.in22k_ft_in1k	81.300	18.700	91.533	8.467	304.14	196	1.000	bicubic	-16.220	-8.257	+12
26	regnety_320.swag_ft_in1k	81.203	18.797	92.707	7.293	145.05	384	1.000	bicubic	-16.177	-7.013	+23
27	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	80.870	19.130	91.917	8.083	200.13	256	1.000	bicubic	-16.260	-7.863	+65
28	eva_large_patch14_336.in22k_ft_in22k_in1k	80.087	19.913	89.357	10.643	304.53	336	1.000	bicubic	-17.773	-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	+124
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	+183
31	vit_large_patch14_clip_224.openai_ft_in12k_in1k	78.677	21.323	88.920	11.080	304.20	224	1.000	bicubic	-18.933	-10.810	0
32	eva_large_patch14_196.in22k_ft_in22k_in1k	78.500	21.500	88.330	11.670	304.14	196	1.000	bicubic	-19.110	-11.480	-3
33	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	78.433	21.567	88.500	11.500	304.53	336	1.000	bicubic	-19.027	-11.280	+8
34	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	78.267	21.733	88.673	11.327	304.20	224	1.000	bicubic	-19.123	-11.057	+12
35	regnety_160.swag_lc_in1k	78.187	21.813	91.663	8.337	83.59	224	0.965	bicubic	-18.263	-7.947	+172
36	regnety_160.swag_ft_in1k	77.683	22.317	90.737	9.263	83.59	384	1.000	bicubic	-19.487	-8.903	+50
37	eva02_base_patch14_448.mim_in22k_ft_in1k	77.610	22.390	89.307	10.693	87.12	448	1.000	bicubic	-20.110	-10.453	-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	-10
39	tf_efficientnet_l2.ns_jft_in1k_475	76.490	23.510	88.640	11.360	480.31	475	0.936	bicubic	-21.260	-11.150	-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	+206
42	convnextv2_huge.fcmae_ft_in22k_in1k_384	75.953	24.047	86.637	13.363	660.29	384	1.000	bicubic	-21.917	-13.273	-36
43	convnextv2_huge.fcmae_ft_in22k_in1k_512	75.823	24.177	86.943	13.057	660.29	512	1.000	bicubic	-21.987	-12.847	-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	+277
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	+203
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	+88
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	+58
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	+97
50	convnext_base.clip_laion2b_augreg_ft_in1k	73.400	26.600	87.147	12.853	88.59	256	1.000	bicubic	-23.160	-12.503	+134
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	85.160	14.840	44.18	224	0.875	bilinear	-23.383	-14.250	+242
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	71.703	28.297	82.713	17.287	475.32	384	1.000	bicubic	-26.037	-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	+17
58	vit_base_patch16_clip_384.laion2b_ft_in1k	70.777	29.223	83.820	16.180	86.86	384	1.000	bicubic	-26.123	-15.850	+69
59	caformer_b36.sail_in22k_ft_in1k_384	70.750	29.250	82.650	17.350	98.75	384	1.000	bicubic	-26.910	-17.210	-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	70.383	29.617	81.600	18.400	119.88	512	1.000	bicubic	-27.377	-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	69.710	30.290	81.197	18.803	304.37	224	1.000	bicubic	-27.600	-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	69.130	30.870	80.060	19.940	116.14	384	1.000	bicubic	-28.210	-19.630	-11
68	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	68.970	31.030	82.803	17.197	25.03	224	0.875	bilinear	-26.660	-16.607	+317
69	vit_base_patch16_clip_224.laion2b_ft_in1k	68.780	31.220	82.503	17.497	86.57	224	1.000	bicubic	-27.540	-17.017	+165
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	68.603	31.397	80.857	19.143	98.75	224	1.000	bicubic	-28.757	-18.973	-17
72	resnet50.fb_swsl_ig1b_ft_in1k	68.287	31.713	83.313	16.687	25.56	224	0.875	bilinear	-26.913	-16.077	+404
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	-7
76	tf_efficientnet_b7.ns_jft_in1k	67.507	32.493	81.383	18.617	66.35	600	0.949	bicubic	-29.683	-18.317	+8
77	vit_base_patch16_clip_384.openai_ft_in1k	67.350	32.650	81.687	18.313	86.86	384	1.000	bicubic	-29.460	-18.023	+65
78	vit_large_patch16_384.augreg_in21k_ft_in1k	67.057	32.943	78.697	21.303	304.72	384	1.000	bicubic	-30.353	-21.083	-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	+13
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	+4
85	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	66.147	33.853	78.883	21.117	86.86	384	1.000	bicubic	-31.073	-20.817	-5
86	vit_base_patch16_clip_224.openai_ft_in1k	66.027	33.973	80.980	19.020	86.57	224	0.900	bicubic	-30.283	-18.520	+151
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	+38
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	-19
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	-13
90	tf_efficientnet_b6.ns_jft_in1k	65.583	34.417	79.557	20.443	43.04	528	0.942	bicubic	-31.437	-20.153	+20
91	caformer_m36.sail_in22k_ft_in1k_384	65.580	34.420	78.703	21.297	56.20	384	1.000	bicubic	-31.790	-21.087	-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	-22
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	-1
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	-23
96	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	64.767	35.233	77.770	22.230	86.57	224	0.950	bicubic	-31.853	-21.790	+79
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	76.180	23.820	304.33	224	0.900	bicubic	-32.340	-23.390	+64
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	-20
100	vit_large_r50_s32_384.augreg_in21k_ft_in1k	64.103	35.897	75.847	24.153	329.09	384	1.000	bicubic	-32.847	-23.783	+18
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	-3
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	+20
103	seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	63.653	36.347	76.623	23.377	149.39	384	1.000	bicubic	-33.637	-23.157	-37
104	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	-46
105	caformer_m36.sail_in22k_ft_in1k	63.493	36.507	76.920	23.080	56.20	224	1.000	bicubic	-33.527	-22.810	+4
106	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
107	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
108	caformer_s36.sail_in22k_ft_in1k_384	63.263	36.737	77.460	22.540	39.30	384	1.000	bicubic	-34.027	-22.290	-41
109	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
110	tf_efficientnet_b5.ns_jft_in1k	63.053	36.947	77.787	22.213	30.39	456	0.934	bicubic	-33.817	-21.853	+23
111	vit_base_patch16_clip_224.openai_ft_in12k_in1k	62.943	37.057	76.597	23.403	86.57	224	0.950	bicubic	-33.567	-22.953	+87
112	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
113	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
114	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
115	vit_base_patch8_224.augreg2_in21k_ft_in1k	62.400	37.600	76.600	23.400	86.58	224	0.900	bicubic	-34.550	-23.010	+4
116	tf_efficientnetv2_l.in21k_ft_in1k	62.363	37.637	76.757	23.243	118.52	480	1.000	bicubic	-34.957	-22.883	-57
117	vit_base_patch8_224.augreg_in21k_ft_in1k	62.177	37.823	75.627	24.373	86.58	224	0.900	bicubic	-34.913	-23.983	-18
118	convformer_m36.sail_in22k_ft_in1k_384	62.103	37.897	75.540	24.460	57.05	384	1.000	bicubic	-35.267	-24.140	-65
119	tf_efficientnetv2_xl.in21k_ft_in1k	62.083	37.917	75.653	24.347	208.12	512	1.000	bicubic	-35.247	-23.947	-62
120	hrnet_w48_ssld.paddle_in1k	61.923	38.077	75.163	24.837	77.47	288	1.000	bilinear	-34.617	-24.477	+70
121	deit3_base_patch16_224.fb_in22k_ft_in1k	61.803	38.197	74.717	25.283	86.59	224	1.000	bicubic	-35.057	-24.903	+14
122	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	+34
123	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
124	convformer_m36.sail_in22k_ft_in1k	61.257	38.743	74.620	25.380	57.05	224	1.000	bicubic	-35.813	-25.130	-23
125	tf_efficientnet_b4.ns_jft_in1k	61.233	38.767	76.160	23.840	19.34	380	0.922	bicubic	-35.477	-23.480	+35
126	convnextv2_huge.fcmae_ft_in1k	61.197	38.803	74.500	25.500	660.29	288	1.000	bicubic	-36.053	-25.220	-53
127	maxvit_base_tf_512.in1k	61.103	38.897	74.050	25.950	119.88	512	1.000	bicubic	-36.067	-25.630	-38
128	caformer_s36.sail_in22k_ft_in1k	60.767	39.233	75.167	24.833	39.30	224	1.000	bicubic	-36.053	-24.523	+12
129	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	60.357	39.643	73.797	26.203	88.30	384	1.000	bicubic	-36.253	-25.683	+47
130	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	+40
131	tf_efficientnetv2_m.in21k_ft_in1k	60.267	39.733	75.070	24.930	54.14	480	1.000	bicubic	-36.733	-24.560	-18
132	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	60.230	39.770	73.550	26.450	88.34	448	1.000	bicubic	-36.330	-25.970	+54
133	vit_base_patch16_384.augreg_in21k_ft_in1k	60.183	39.817	73.843	26.157	86.86	384	1.000	bicubic	-36.837	-25.867	-22
134	convformer_s36.sail_in22k_ft_in1k_384	60.070	39.930	74.127	25.873	40.01	384	1.000	bicubic	-36.990	-25.583	-32
135	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
136	maxvit_large_tf_512.in1k	59.887	40.113	72.847	27.153	212.33	512	1.000	bicubic	-37.163	-26.813	-32
137	tiny_vit_21m_512.dist_in22k_ft_in1k	59.580	40.420	74.757	25.243	21.27	512	1.000	bicubic	-37.320	-24.933	-11
138	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	+30
139	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	+436
140	maxvit_base_tf_384.in1k	59.073	40.927	71.687	28.313	119.65	384	1.000	bicubic	-38.047	-27.953	-46
141	vit_base_patch16_224.augreg2_in21k_ft_in1k	59.060	40.940	73.603	26.397	86.57	224	0.900	bicubic	-37.450	-25.957	+56
142	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	-77
143	tiny_vit_21m_384.dist_in22k_ft_in1k	59.017	40.983	74.100	25.900	21.23	384	1.000	bicubic	-37.933	-25.610	-22
144	volo_d5_512.sail_in1k	58.927	41.073	73.210	26.790	296.09	512	1.150	bicubic	-38.373	-26.550	-80
145	convformer_s36.sail_in22k_ft_in1k	58.913	41.087	72.943	27.057	40.01	224	1.000	bicubic	-37.587	-26.517	+54
146	convnext_small.in12k_ft_in1k_384	58.807	41.193	72.797	27.203	50.22	384	1.000	bicubic	-38.183	-26.853	-32
147	volo_d5_448.sail_in1k	58.800	41.200	73.063	26.937	295.91	448	1.150	bicubic	-38.440	-26.607	-72
148	vit_large_r50_s32_224.augreg_in21k_ft_in1k	58.667	41.333	71.733	28.267	328.99	224	0.900	bicubic	-37.513	-27.777	+117
149	vit_base_patch32_clip_384.openai_ft_in12k_in1k	58.587	41.413	73.150	26.850	88.30	384	0.950	bicubic	-37.833	-26.350	+66
150	maxvit_large_tf_384.in1k	58.427	41.573	71.177	28.823	212.03	384	1.000	bicubic	-38.503	-28.393	-26
151	eva02_small_patch14_336.mim_in22k_ft_in1k	58.363	41.637	72.877	27.123	22.13	336	1.000	bicubic	-38.327	-26.733	+15
152	deit3_large_patch16_384.fb_in1k	58.357	41.643	72.950	27.050	304.76	384	1.000	bicubic	-38.493	-26.670	-16
153	deit3_huge_patch14_224.fb_in1k	58.137	41.863	72.143	27.857	632.13	224	0.900	bicubic	-38.443	-27.377	+27
154	convnextv2_large.fcmae_ft_in1k	58.103	41.897	72.627	27.373	197.96	288	1.000	bicubic	-38.727	-27.133	-16
155	tf_efficientnet_b8.ap_in1k	57.837	42.163	72.960	27.040	87.41	672	0.954	bicubic	-38.713	-26.600	+34
156	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
157	seresnextaa101d_32x8d.sw_in12k_ft_in1k	57.643	42.357	71.357	28.643	93.59	288	1.000	bicubic	-39.527	-28.423	-70
158	mvitv2_large.fb_in1k	57.497	42.503	70.750	29.250	217.99	224	0.900	bicubic	-38.903	-28.790	+62
159	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
160	cait_m36_384.fb_dist_in1k	57.473	42.527	72.307	27.693	271.22	384	1.000	bicubic	-39.367	-27.353	-23
161	tf_efficientnet_b3.ns_jft_in1k	57.417	42.583	72.370	27.630	12.23	300	0.904	bicubic	-38.683	-27.110	+119
162	volo_d4_448.sail_in1k	57.287	42.713	71.540	28.460	193.41	448	1.150	bicubic	-39.783	-28.090	-62
163	tiny_vit_21m_224.dist_in22k_ft_in1k	57.143	42.857	72.573	27.427	21.20	224	0.950	bicubic	-39.237	-26.847	+58
164	maxvit_small_tf_512.in1k	57.077	42.923	70.957	29.043	69.13	512	1.000	bicubic	-40.123	-28.663	-81
165	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	+302
166	vit_base_patch16_224.augreg_in21k_ft_in1k	56.833	43.167	70.633	29.367	86.57	224	0.900	bicubic	-39.467	-28.897	+75
167	deit3_medium_patch16_224.fb_in22k_ft_in1k	56.653	43.347	69.740	30.260	38.85	224	1.000	bicubic	-39.487	-29.550	+104
168	volo_d5_224.sail_in1k	56.507	43.493	70.660	29.340	295.46	224	0.960	bicubic	-40.373	-28.960	-39
169	deit3_large_patch16_224.fb_in1k	56.453	43.547	70.473	29.527	304.37	224	0.900	bicubic	-39.737	-29.027	+95
170	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	-16
171	flexivit_large.1200ep_in1k	56.290	43.710	71.560	28.440	304.36	240	0.950	bicubic	-40.490	-28.110	-21
172	convnextv2_tiny.fcmae_ft_in22k_in1k_384	56.100	43.900	71.897	28.103	28.64	384	1.000	bicubic	-40.520	-27.733	+2
173	flexivit_large.600ep_in1k	56.077	43.923	71.170	28.830	304.36	240	0.950	bicubic	-40.653	-28.390	-15
174	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
175	caformer_s18.sail_in22k_ft_in1k_384	56.010	43.990	71.380	28.620	26.34	384	1.000	bicubic	-40.520	-28.200	+16
176	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	+468
177	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	55.783	44.217	70.997	29.003	39.03	384	0.950	bicubic	-40.707	-28.623	+24
178	flexivit_large.300ep_in1k	55.703	44.297	70.703	29.297	304.36	240	0.950	bicubic	-40.997	-28.877	-15
179	convnext_small.in12k_ft_in1k	55.700	44.300	70.727	29.273	50.22	288	1.000	bicubic	-40.900	-28.833	-1
180	caformer_b36.sail_in1k_384	55.193	44.807	68.070	31.930	98.75	384	1.000	bicubic	-41.967	-31.540	-90
181	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	-36
182	caformer_m36.sail_in1k_384	55.083	44.917	68.470	31.530	56.20	384	1.000	bicubic	-41.947	-31.240	-76
183	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	-28.387	+110
184	xcit_large_24_p16_384.fb_dist_in1k	54.907	45.093	69.850	30.150	189.10	384	1.000	bicubic	-42.033	-29.660	-61
185	volo_d4_224.sail_in1k	54.757	45.243	68.847	31.153	192.96	224	0.960	bicubic	-42.023	-30.763	-37
186	maxvit_tiny_tf_512.in1k	54.747	45.253	68.937	31.063	31.05	512	1.000	bicubic	-42.223	-30.733	-69
187	dm_nfnet_f5.dm_in1k	54.610	45.390	68.673	31.327	377.21	544	0.954	bicubic	-42.420	-31.007	-79
188	caformer_s36.sail_in1k_384	54.573	45.427	68.740	31.260	39.30	384	1.000	bicubic	-42.307	-30.930	-60
189	deit3_small_patch16_384.fb_in22k_ft_in1k	54.480	45.520	68.317	31.683	22.21	384	1.000	bicubic	-42.190	-31.323	-20
190	efficientnet_b5.sw_in12k_ft_in1k	54.413	45.587	69.873	30.127	30.39	448	1.000	bicubic	-42.357	-29.657	-38
191	vit_base_r50_s16_384.orig_in21k_ft_in1k	54.407	45.593	69.563	30.437	98.95	384	1.000	bicubic	-42.043	-30.047	+17
192	inception_next_base.sail_in1k_384	54.360	45.640	68.570	31.430	86.67	384	1.000	bicubic	-42.360	-31.040	-33
193	maxvit_small_tf_384.in1k	54.337	45.663	68.190	31.810	69.02	384	1.000	bicubic	-42.413	-31.350	-38
194	regnety_160.sw_in12k_ft_in1k	54.330	45.670	69.047	30.953	83.59	288	1.000	bicubic	-42.490	-30.573	-55
195	resnetv2_152x4_bit.goog_in21k_ft_in1k	54.317	45.683	70.170	29.830	936.53	480	1.000	bilinear	-42.563	-29.490	-65
196	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
197	regnety_160.lion_in12k_ft_in1k	54.203	45.797	68.990	31.010	83.59	288	1.000	bicubic	-42.607	-30.520	-56
198	vit_small_r26_s32_384.augreg_in21k_ft_in1k	54.187	45.813	68.760	31.240	36.47	384	1.000	bicubic	-41.873	-30.740	+92
199	caformer_s18.sail_in22k_ft_in1k	54.113	45.887	69.713	30.287	26.34	224	1.000	bicubic	-41.897	-29.837	+102
200	volo_d3_448.sail_in1k	53.977	46.023	68.040	31.960	86.63	448	1.000	bicubic	-43.053	-31.630	-94
201	caformer_b36.sail_in1k	53.977	46.023	66.687	33.313	98.75	224	1.000	bicubic	-42.523	-32.943	0
202	tf_efficientnet_b5.ap_in1k	53.887	46.113	69.170	30.830	30.39	456	0.934	bicubic	-42.203	-30.370	+80
203	dm_nfnet_f6.dm_in1k	53.843	46.157	68.413	31.587	438.36	576	0.956	bicubic	-43.127	-31.347	-87
204	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	-11
205	tf_efficientnet_b2.ns_jft_in1k	53.600	46.400	70.270	29.730	9.11	260	0.890	bicubic	-41.920	-29.070	+204
206	cait_s36_384.fb_dist_in1k	53.560	46.440	68.003	31.997	68.37	384	1.000	bicubic	-43.070	-31.607	-35
207	tf_efficientnet_b6.ap_in1k	53.553	46.447	68.563	31.437	43.04	528	0.942	bicubic	-42.817	-30.987	+16
208	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	53.537	46.463	69.093	30.907	38.86	256	0.950	bicubic	-42.463	-30.327	+95
209	dm_nfnet_f3.dm_in1k	53.523	46.477	67.743	32.257	254.92	416	0.940	bicubic	-43.097	-31.837	-36
210	deit3_base_patch16_384.fb_in1k	53.483	46.517	67.623	32.377	86.88	384	1.000	bicubic	-42.747	-31.817	+47
211	deit3_base_patch16_224.fb_in1k	53.470	46.530	67.597	32.403	86.59	224	0.900	bicubic	-42.300	-31.673	+145
212	convformer_s18.sail_in22k_ft_in1k	53.437	46.563	68.680	31.320	26.77	224	1.000	bicubic	-42.663	-30.810	+67
213	tf_efficientnet_b8.ra_in1k	53.417	46.583	69.093	30.907	87.41	672	0.954	bicubic	-43.283	-30.557	-49
214	convnextv2_base.fcmae_ft_in1k	53.417	46.583	67.750	32.250	88.72	288	1.000	bicubic	-43.063	-31.800	-9
215	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	-64
216	vit_base_patch32_384.augreg_in21k_ft_in1k	53.300	46.700	68.057	31.943	88.30	384	1.000	bicubic	-42.600	-31.283	+110
217	tf_efficientnet_b7.ap_in1k	53.257	46.743	68.870	31.130	66.35	600	0.949	bicubic	-43.093	-30.650	+9
218	convnext_large.fb_in1k	53.247	46.753	67.887	32.113	197.77	288	1.000	bicubic	-43.153	-31.563	+1
219	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
220	hrnet_w18_ssld.paddle_in1k	53.233	46.767	68.183	31.817	21.30	288	1.000	bilinear	-42.477	-31.107	+150
221	maxvit_base_tf_224.in1k	53.233	46.767	66.133	33.867	119.47	224	0.950	bicubic	-43.107	-33.447	+11
222	tf_efficientnetv2_l.in1k	53.160	46.840	67.827	32.173	118.52	480	1.000	bicubic	-43.580	-31.723	-65
223	tf_efficientnetv2_s.in21k_ft_in1k	53.127	46.873	69.000	31.000	21.46	384	1.000	bicubic	-43.343	-30.570	-18
224	tf_efficientnet_b4.ap_in1k	53.087	46.913	68.223	31.777	19.34	380	0.922	bicubic	-42.403	-31.197	+188
225	convnext_tiny.in12k_ft_in1k_384	53.063	46.937	68.503	31.497	28.59	384	1.000	bicubic	-43.497	-31.127	-40
226	regnetz_e8.ra3_in1k	53.003	46.997	67.147	32.853	57.70	320	1.000	bicubic	-43.597	-32.433	-50
227	maxvit_large_tf_224.in1k	53.003	46.997	65.337	34.663	211.79	224	0.950	bicubic	-43.327	-34.073	+7
228	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	+46
229	volo_d3_224.sail_in1k	52.697	47.303	66.307	33.693	86.33	224	0.960	bicubic	-43.733	-33.233	-17
230	deit3_small_patch16_224.fb_in22k_ft_in1k	52.690	47.310	66.867	33.133	22.06	224	1.000	bicubic	-43.140	-32.473	+110
231	regnety_120.sw_in12k_ft_in1k	52.637	47.363	67.637	32.363	51.82	288	1.000	bicubic	-43.913	-32.043	-44
232	dm_nfnet_f4.dm_in1k	52.460	47.540	67.117	32.883	316.07	512	0.951	bicubic	-44.490	-32.523	-112
233	maxvit_tiny_tf_384.in1k	52.457	47.543	66.777	33.223	30.98	384	1.000	bicubic	-44.143	-32.843	-54
234	tf_efficientnet_b7.ra_in1k	52.410	47.590	68.220	31.780	66.35	600	0.949	bicubic	-44.160	-31.250	-52
235	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	-92
236	efficientnetv2_rw_m.agc_in1k	52.343	47.657	67.223	32.777	53.24	416	1.000	bicubic	-43.927	-32.407	+10
237	resnet18.fb_swsl_ig1b_ft_in1k	52.323	47.677	70.483	29.517	11.69	224	0.875	bilinear	-38.777	-27.717	+762
238	convformer_b36.sail_in1k_384	52.300	47.700	66.543	33.457	99.88	384	1.000	bicubic	-44.570	-33.107	-106
239	convformer_m36.sail_in1k_384	52.283	47.717	66.150	33.850	57.05	384	1.000	bicubic	-44.497	-33.580	-90
240	inception_next_base.sail_in1k	52.273	47.727	65.930	34.070	86.67	224	0.950	bicubic	-43.647	-33.430	+84
241	deit_base_distilled_patch16_384.fb_in1k	52.260	47.740	67.747	32.253	87.63	384	1.000	bicubic	-44.250	-31.843	-45
242	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
243	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	-55
244	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
245	convformer_s36.sail_in1k_384	51.987	48.013	66.197	33.803	40.01	384	1.000	bicubic	-44.713	-33.333	-81
246	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	51.937	48.063	68.660	31.340	236.34	384	1.000	bicubic	-44.253	-30.640	+17
247	fastvit_ma36.apple_dist_in1k	51.923	48.077	67.013	32.987	44.07	256	0.950	bicubic	-44.377	-32.547	-3
248	convnextv2_tiny.fcmae_ft_in22k_in1k	51.903	48.097	67.800	32.200	28.64	288	1.000	bicubic	-44.437	-31.570	-18
249	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	-21
250	xcit_small_24_p16_384.fb_dist_in1k	51.883	48.117	66.367	33.633	47.67	384	1.000	bicubic	-44.457	-33.183	-21
251	cait_s24_384.fb_dist_in1k	51.787	48.213	66.307	33.693	47.06	384	1.000	bicubic	-44.783	-33.243	-70
252	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	-58
253	caformer_m36.sail_in1k	51.693	48.307	64.497	35.503	56.20	224	1.000	bicubic	-44.717	-35.063	-36
254	ecaresnet269d.ra2_in1k	51.677	48.323	66.040	33.960	102.09	352	1.000	bicubic	-44.773	-33.620	-44
255	regnety_2560.seer_ft_in1k	51.650	48.350	68.193	31.807	1,282.60	384	1.000	bicubic	-44.880	-31.327	-63
256	rexnetr_300.sw_in12k_ft_in1k	51.627	48.373	68.020	31.980	34.81	288	1.000	bicubic	-44.463	-31.520	+25
257	caformer_s36.sail_in1k	51.593	48.407	64.907	35.093	39.30	224	1.000	bicubic	-44.487	-34.603	+27
258	coat_lite_medium_384.in1k	51.570	48.430	65.740	34.260	44.57	384	1.000	bicubic	-45.000	-33.780	-75
259	mvitv2_base.fb_in1k	51.550	48.450	65.633	34.367	51.47	224	0.900	bicubic	-44.430	-33.957	+50
260	vit_base_patch16_224_miil.in21k_ft_in1k	51.543	48.457	65.207	34.793	86.54	224	0.875	bilinear	-44.497	-34.143	+38
261	davit_small.msft_in1k	51.523	48.477	66.440	33.560	49.75	224	0.950	bicubic	-44.507	-32.960	+38
262	convnext_tiny.in12k_ft_in1k	51.440	48.560	67.063	32.937	28.59	288	1.000	bicubic	-44.800	-32.227	-9
263	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	+54
264	tf_efficientnetv2_m.in1k	51.423	48.577	66.623	33.377	54.14	480	1.000	bicubic	-45.057	-32.897	-62
265	repvit_m2_3.dist_450e_in1k	51.383	48.617	66.737	33.263	23.69	224	0.950	bicubic	-44.607	-32.663	+42
266	caformer_s18.sail_in1k_384	51.353	48.647	65.657	34.343	26.34	384	1.000	bicubic	-45.057	-33.873	-50
267	edgenext_base.in21k_ft_in1k	51.283	48.717	65.657	34.343	18.51	320	1.000	bicubic	-44.917	-33.803	-6
268	davit_base.msft_in1k	51.267	48.733	65.223	34.777	87.95	224	0.950	bicubic	-44.973	-34.417	-14
269	convformer_b36.sail_in1k	51.203	48.797	64.280	35.720	99.88	224	1.000	bicubic	-45.037	-35.130	-14
270	maxvit_small_tf_224.in1k	51.190	48.810	65.260	34.740	68.93	224	0.950	bicubic	-45.010	-34.270	-8
271	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	-65
272	convnext_base.fb_in1k	51.057	48.943	65.880	34.120	88.59	288	1.000	bicubic	-45.253	-33.630	-33
273	convformer_m36.sail_in1k	51.020	48.980	63.653	36.347	57.05	224	1.000	bicubic	-45.060	-35.737	+13
274	volo_d2_384.sail_in1k	50.900	49.100	65.623	34.377	58.87	384	1.000	bicubic	-45.810	-33.977	-113
275	tf_efficientnet_b1.ns_jft_in1k	50.887	49.113	67.910	32.090	7.79	240	0.882	bicubic	-43.973	-31.340	+281
276	vit_base_patch16_384.orig_in21k_ft_in1k	50.880	49.120	65.277	34.723	86.86	384	1.000	bicubic	-45.320	-34.193	-16
277	convformer_s36.sail_in1k	50.863	49.137	64.083	35.917	40.01	224	1.000	bicubic	-45.247	-35.377	+1
278	tiny_vit_11m_224.dist_in22k_ft_in1k	50.830	49.170	66.870	33.130	11.00	224	0.950	bicubic	-44.880	-32.390	+95
279	xcit_small_24_p16_224.fb_dist_in1k	50.743	49.257	65.047	34.953	47.67	224	1.000	bicubic	-45.047	-34.243	+73
280	repvit_m2_3.dist_300e_in1k	50.737	49.263	66.743	33.257	23.69	224	0.950	bicubic	-44.853	-32.647	+113
281	convformer_s18.sail_in1k_384	50.687	49.313	65.637	34.363	26.77	384	1.000	bicubic	-45.563	-33.943	-31
282	flexivit_base.1200ep_in1k	50.687	49.313	65.133	34.867	86.59	240	0.950	bicubic	-45.433	-34.277	-7
283	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	-24
284	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	-53
285	efficientnet_b4.ra2_in1k	50.500	49.500	65.730	34.270	19.34	384	1.000	bicubic	-45.030	-33.670	+122
286	volo_d1_384.sail_in1k	50.477	49.523	64.913	35.087	26.78	384	1.000	bicubic	-46.003	-34.697	-84
287	efficientvit_b3.r256_in1k	50.477	49.523	64.180	35.820	48.65	256	1.000	bicubic	-45.353	-35.040	+56
288	xcit_small_12_p8_224.fb_dist_in1k	50.437	49.563	65.420	34.580	26.21	224	1.000	bicubic	-45.523	-33.950	+25
289	fastvit_sa36.apple_dist_in1k	50.427	49.573	65.803	34.197	31.53	256	0.900	bicubic	-45.533	-33.577	+27
290	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	-41
291	flexivit_base.600ep_in1k	50.353	49.647	64.627	35.373	86.59	240	0.950	bicubic	-45.607	-34.793	+23
292	efficientvit_b3.r288_in1k	50.340	49.660	64.063	35.937	48.65	288	1.000	bicubic	-45.800	-35.297	-19
293	regnetz_040_h.ra3_in1k	50.317	49.683	65.623	34.377	28.94	320	1.000	bicubic	-46.003	-33.917	-58
294	inception_next_small.sail_in1k	50.273	49.727	65.097	34.903	49.37	224	0.875	bicubic	-45.407	-34.153	+84
295	mvitv2_small.fb_in1k	50.260	49.740	64.893	35.107	34.87	224	0.900	bicubic	-45.630	-34.467	+35
296	cait_s24_224.fb_dist_in1k	50.250	49.750	65.020	34.980	46.92	224	1.000	bicubic	-45.410	-34.370	+83
297	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	+134
298	pit_b_distilled_224.in1k	50.220	49.780	64.997	35.003	74.79	224	0.900	bicubic	-45.600	-34.293	+50
299	eca_nfnet_l2.ra3_in1k	50.203	49.797	65.440	34.560	56.72	384	1.000	bicubic	-46.247	-34.310	-90
300	resnest269e.in1k	50.187	49.813	64.680	35.320	110.93	416	0.928	bicubic	-45.923	-34.630	-24
301	vit_small_patch16_384.augreg_in21k_ft_in1k	50.173	49.827	65.790	34.210	22.20	384	1.000	bicubic	-45.807	-33.540	+7
302	tresnet_v2_l.miil_in21k_ft_in1k	50.163	49.837	65.123	34.877	46.17	224	0.875	bilinear	-45.657	-34.197	+45
303	pvt_v2_b5.in1k	50.147	49.853	65.027	34.973	81.96	224	0.900	bicubic	-45.793	-34.363	+17
304	deit3_medium_patch16_224.fb_in1k	50.140	49.860	64.710	35.290	38.85	224	0.900	bicubic	-45.240	-34.640	+133
305	deit_base_distilled_patch16_224.fb_in1k	50.077	49.923	66.230	33.770	87.34	224	0.900	bicubic	-45.673	-33.200	+55
306	tf_efficientnet_b3.ap_in1k	50.047	49.953	65.210	34.790	12.23	300	0.904	bicubic	-44.923	-33.900	+228
307	pvt_v2_b4.in1k	50.023	49.977	65.127	34.873	62.56	224	0.900	bicubic	-45.897	-34.093	+16
308	flexivit_base.300ep_in1k	50.003	49.997	64.103	35.897	86.59	240	0.950	bicubic	-45.947	-35.367	+11
309	coat_lite_medium.in1k	49.983	50.017	64.857	35.143	44.57	224	0.900	bicubic	-46.017	-34.643	-3
310	resnest200e.in1k	49.873	50.127	64.717	35.283	70.20	320	0.909	bicubic	-46.197	-34.763	-23
311	efficientformer_l7.snap_dist_in1k	49.837	50.163	66.033	33.967	82.23	224	0.950	bicubic	-45.763	-33.357	+79
312	volo_d2_224.sail_in1k	49.820	50.180	64.580	35.420	58.68	224	0.960	bicubic	-46.600	-34.880	-98
313	xception65.ra3_in1k	49.780	50.220	63.523	36.477	39.92	299	0.940	bicubic	-45.910	-35.797	+63
314	seresnextaa101d_32x8d.ah_in1k	49.747	50.253	64.443	35.557	93.59	288	1.000	bicubic	-46.693	-35.067	-103
315	swinv2_base_window16_256.ms_in1k	49.667	50.333	63.800	36.200	87.92	256	0.900	bicubic	-46.503	-35.590	-47
316	pvt_v2_b3.in1k	49.613	50.387	64.793	35.207	45.24	224	0.900	bicubic	-45.857	-34.517	+101
317	convnextv2_nano.fcmae_ft_in22k_in1k_384	49.603	50.397	65.657	34.343	15.62	384	1.000	bicubic	-46.187	-33.733	+36
318	cait_xs24_384.fb_dist_in1k	49.537	50.463	64.900	35.100	26.67	384	1.000	bicubic	-46.463	-34.530	-13
319	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	-23
320	tf_efficientnet_b5.ra_in1k	49.523	50.477	65.653	34.347	30.39	456	0.934	bicubic	-46.447	-33.777	-10
321	fastvit_ma36.apple_in1k	49.500	50.500	63.620	36.380	44.07	256	0.950	bicubic	-46.470	-35.840	-9
322	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	49.480	50.520	65.623	34.377	236.34	224	0.875	bicubic	-46.270	-33.807	+37
323	resnet200d.ra2_in1k	49.463	50.537	64.330	35.670	64.69	320	1.000	bicubic	-46.647	-35.190	-46
324	efficientformerv2_l.snap_dist_in1k	49.457	50.543	64.920	35.080	26.32	224	0.950	bicubic	-46.303	-34.450	+33
325	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	+41
326	resnest101e.in1k	49.367	50.633	65.583	34.417	48.28	256	0.875	bilinear	-46.203	-33.787	+73
327	dm_nfnet_f2.dm_in1k	49.350	50.650	63.950	36.050	193.78	352	0.920	bicubic	-47.170	-35.640	-132
328	regnetz_040.ra3_in1k	49.297	50.703	64.060	35.940	27.12	320	1.000	bicubic	-46.883	-35.470	-62
329	vit_base_patch32_224.augreg_in21k_ft_in1k	49.267	50.733	64.340	35.660	88.22	224	0.900	bicubic	-45.133	-34.700	+324
330	tiny_vit_21m_224.in1k	49.267	50.733	64.303	35.697	21.20	224	0.950	bicubic	-46.383	-34.947	+53
331	resnet152d.ra2_in1k	49.263	50.737	64.413	35.587	60.21	320	1.000	bicubic	-46.607	-35.057	+6
332	seresnet152d.ra2_in1k	49.237	50.763	64.167	35.833	66.84	320	1.000	bicubic	-47.073	-35.243	-94
333	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	-50
334	gcvit_base.in1k	49.153	50.847	63.950	36.050	90.32	224	0.875	bicubic	-46.927	-35.300	-49
335	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	-77
336	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	+110
337	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	-1
338	convnext_small.fb_in1k	49.067	50.933	64.830	35.170	50.22	288	1.000	bicubic	-46.903	-34.530	-27
339	resnetaa101d.sw_in12k_ft_in1k	49.013	50.987	64.237	35.763	44.57	288	1.000	bicubic	-47.347	-35.233	-114
340	resnext101_64x4d.tv_in1k	48.990	51.010	63.510	36.490	83.46	224	0.875	bilinear	-46.830	-35.800	+5
341	volo_d1_224.sail_in1k	48.973	51.027	63.187	36.813	26.63	224	0.960	bicubic	-47.057	-36.203	-41
342	repvgg_b3.rvgg_in1k	48.913	51.087	64.880	35.120	123.09	224	0.875	bilinear	-45.657	-33.770	+275
343	efficientvit_b3.r224_in1k	48.877	51.123	62.947	37.053	48.65	224	0.950	bicubic	-46.663	-36.373	+63
344	resnetrs420.tf_in1k	48.863	51.137	63.433	36.567	191.89	416	1.000	bicubic	-47.537	-36.097	-126
345	maxvit_tiny_tf_224.in1k	48.807	51.193	62.933	37.067	30.92	224	0.950	bicubic	-47.003	-36.327	+4
346	convformer_s18.sail_in1k	48.787	51.213	62.930	37.070	26.77	224	1.000	bicubic	-46.543	-36.370	+99
347	caformer_s18.sail_in1k	48.753	51.247	62.870	37.130	26.34	224	1.000	bicubic	-46.927	-36.420	+30
348	deit3_small_patch16_384.fb_in1k	48.667	51.333	62.800	37.200	22.21	384	1.000	bicubic	-46.933	-36.640	+43
349	seresnext101d_32x8d.ah_in1k	48.603	51.397	62.960	37.040	93.59	288	1.000	bicubic	-47.757	-36.480	-125
350	swinv2_small_window16_256.ms_in1k	48.593	51.407	62.747	37.253	49.73	256	0.900	bicubic	-47.477	-36.703	-61
351	regnetz_d32.ra3_in1k	48.583	51.417	65.167	34.833	27.58	320	0.950	bicubic	-47.287	-34.263	-15
352	efficientnetv2_rw_s.ra2_in1k	48.577	51.423	63.837	36.163	23.94	384	1.000	bicubic	-47.133	-35.503	+17
353	efficientnet_b3.ra2_in1k	48.567	51.433	64.250	35.750	12.23	320	1.000	bicubic	-46.573	-35.050	+138
354	edgenext_base.usi_in1k	48.457	51.543	64.317	35.683	18.51	320	1.000	bicubic	-47.333	-34.983	-4
355	focalnet_base_lrf.ms_in1k	48.440	51.560	63.120	36.880	88.75	224	0.900	bicubic	-47.390	-36.080	-11
356	focalnet_base_srf.ms_in1k	48.423	51.577	63.103	36.897	88.15	224	0.900	bicubic	-47.477	-36.207	-29
357	vit_small_r26_s32_224.augreg_in21k_ft_in1k	48.377	51.623	63.800	36.200	36.43	224	0.900	bicubic	-46.743	-35.400	+139
358	swinv2_base_window8_256.ms_in1k	48.333	51.667	63.610	36.390	87.92	256	0.900	bicubic	-47.727	-35.940	-64
359	fastvit_sa36.apple_in1k	48.320	51.680	62.793	37.207	31.53	256	0.900	bicubic	-47.290	-36.527	+30
360	repvgg_b3g4.rvgg_in1k	48.310	51.690	64.780	35.220	83.83	224	0.875	bilinear	-46.190	-34.240	+275
361	vit_large_patch32_384.orig_in21k_ft_in1k	48.240	51.760	61.827	38.173	306.63	384	1.000	bicubic	-47.000	-37.403	+103
362	convit_base.fb_in1k	48.210	51.790	63.000	37.000	86.54	224	0.875	bicubic	-46.890	-36.150	+139
363	swin_s3_base_224.ms_in1k	48.153	51.847	62.243	37.757	71.13	224	0.900	bicubic	-47.887	-37.107	-66
364	sequencer2d_l.in1k	48.107	51.893	62.353	37.647	54.30	224	0.875	bicubic	-47.763	-37.207	-31
365	resnext101_32x8d.tv2_in1k	48.093	51.907	62.723	37.277	88.79	224	0.965	bilinear	-47.207	-36.507	+84
366	resnetrs350.tf_in1k	48.057	51.943	62.667	37.333	163.96	384	1.000	bicubic	-48.193	-36.923	-115
367	tf_efficientnetv2_b3.in21k_ft_in1k	48.030	51.970	64.747	35.253	14.36	300	0.900	bicubic	-47.570	-34.533	+24
368	gcvit_small.in1k	48.030	51.970	62.713	37.287	51.09	224	0.875	bicubic	-47.880	-36.567	-42
369	focalnet_small_lrf.ms_in1k	48.027	51.973	63.130	36.870	50.34	224	0.900	bicubic	-47.713	-36.030	-7
370	regnetz_d8.ra3_in1k	48.010	51.990	64.423	35.577	23.37	320	1.000	bicubic	-48.000	-35.097	-68
371	regnety_1280.seer_ft_in1k	47.990	52.010	64.230	35.770	644.81	384	1.000	bicubic	-48.320	-35.320	-131
372	twins_svt_large.in1k	47.963	52.037	62.907	37.093	99.27	224	0.900	bicubic	-47.737	-36.463	+2
373	fastvit_sa24.apple_dist_in1k	47.960	52.040	62.797	37.203	21.55	256	0.900	bicubic	-47.590	-36.513	+29
374	repvit_m1_5.dist_450e_in1k	47.950	52.050	63.643	36.357	14.64	224	0.950	bicubic	-47.330	-35.587	+83
375	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	+117
376	repvgg_b2g4.rvgg_in1k	47.810	52.190	64.397	35.603	61.76	224	0.875	bilinear	-46.020	-34.533	+377
377	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	+175
378	repvgg_d2se.rvgg_in1k	47.780	52.220	62.770	37.230	133.33	320	1.000	bilinear	-48.170	-36.600	-60
379	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	+82
380	tf_efficientnet_b5.aa_in1k	47.737	52.263	63.910	36.090	30.39	456	0.934	bicubic	-48.143	-35.440	-49
381	repvit_m1_5.dist_300e_in1k	47.697	52.303	63.763	36.237	14.64	224	0.950	bicubic	-47.453	-35.387	+105
382	mvitv2_tiny.fb_in1k	47.667	52.333	62.830	37.170	24.17	224	0.900	bicubic	-47.733	-36.470	+51
383	eca_nfnet_l1.ra2_in1k	47.653	52.347	62.767	37.233	41.41	320	1.000	bicubic	-48.277	-36.723	-61
384	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
385	seresnext101_32x8d.ah_in1k	47.650	52.350	61.477	38.523	93.57	288	1.000	bicubic	-48.490	-38.013	-113
386	ecaresnet101d.miil_in1k	47.630	52.370	63.540	36.460	44.57	288	0.950	bicubic	-48.000	-35.750	0
387	regnetz_d8_evos.ch_in1k	47.623	52.377	63.807	36.193	23.46	320	1.000	bicubic	-48.517	-35.673	-117
388	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	-143
389	focalnet_small_srf.ms_in1k	47.547	52.453	62.510	37.490	49.89	224	0.900	bicubic	-48.083	-36.930	-2
390	pit_s_distilled_224.in1k	47.533	52.467	63.173	36.827	24.04	224	0.900	bicubic	-47.157	-35.977	+199
391	resnest50d_4s2x40d.in1k	47.483	52.517	63.803	36.197	30.42	224	0.875	bicubic	-47.217	-35.327	+194
392	dm_nfnet_f1.dm_in1k	47.457	52.543	62.083	37.917	132.63	320	0.910	bicubic	-48.843	-37.417	-150
393	efficientnet_b3_pruned.in1k	47.447	52.553	62.803	37.197	9.86	300	0.904	bicubic	-47.153	-36.287	+217
394	davit_tiny.msft_in1k	47.410	52.590	63.360	36.640	28.36	224	0.950	bicubic	-47.670	-35.900	+114
395	crossvit_18_dagger_408.in1k	47.390	52.610	60.927	39.073	44.61	408	1.000	bicubic	-48.760	-38.543	-126
396	poolformerv2_m48.sail_in1k	47.380	52.620	63.960	36.040	73.35	224	1.000	bicubic	-47.800	-35.160	+87
397	coatnet_rmlp_1_rw_224.sw_in1k	47.370	52.630	61.437	38.563	41.69	224	0.950	bicubic	-48.120	-37.923	+17
398	vit_base_patch16_224.orig_in21k_ft_in1k	47.347	52.653	61.617	38.383	86.57	224	0.900	bicubic	-47.853	-37.613	+80
399	xcit_small_24_p8_224.fb_in1k	47.290	52.710	60.990	39.010	47.63	224	1.000	bicubic	-48.610	-38.190	-70
400	efficientformer_l3.snap_dist_in1k	47.247	52.753	63.420	36.580	31.41	224	0.950	bicubic	-47.963	-35.890	+72
401	tresnet_m.miil_in21k_ft_in1k	47.233	52.767	62.003	37.997	31.39	224	0.875	bilinear	-48.147	-37.147	+37
402	tf_efficientnet_b6.aa_in1k	47.207	52.793	63.110	36.890	43.04	528	0.942	bicubic	-49.093	-36.420	-160
403	wide_resnet101_2.tv2_in1k	47.207	52.793	61.877	38.123	126.89	224	0.965	bilinear	-48.033	-37.323	+62
404	efficientvit_b2.r256_in1k	47.207	52.793	61.670	38.330	24.33	256	1.000	bicubic	-48.013	-37.590	+67
405	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	+84
406	swin_base_patch4_window12_384.ms_in1k	47.183	52.817	62.027	37.973	87.90	384	1.000	bicubic	-49.197	-37.473	-184
407	repvit_m3.dist_in1k	47.153	52.847	63.347	36.653	10.68	224	0.950	bicubic	-47.567	-35.483	+173
408	resnetrs270.tf_in1k	47.127	52.873	61.997	38.003	129.86	352	1.000	bicubic	-48.933	-37.483	-116
409	efficientvit_b2.r288_in1k	47.110	52.890	61.560	38.440	24.33	288	1.000	bicubic	-48.470	-37.710	-12
410	tf_efficientnet_b4.aa_in1k	47.083	52.917	62.860	37.140	19.34	380	0.922	bicubic	-48.507	-36.470	-16
411	regnety_320.tv2_in1k	47.073	52.927	62.050	37.950	145.05	224	0.965	bicubic	-48.487	-37.340	-11
412	vit_base_patch16_rpn_224.sw_in1k	47.063	52.937	62.397	37.603	86.54	224	0.900	bicubic	-47.757	-36.693	+150
413	rexnetr_200.sw_in12k_ft_in1k	47.053	52.947	63.973	36.027	16.52	288	1.000	bicubic	-48.257	-35.497	+35
414	convnextv2_tiny.fcmae_ft_in1k	47.043	52.957	62.503	37.497	28.64	288	1.000	bicubic	-48.787	-36.887	-73
415	swinv2_small_window8_256.ms_in1k	47.020	52.980	62.300	37.700	49.73	256	0.900	bicubic	-48.710	-37.060	-50
416	inception_next_tiny.sail_in1k	46.983	53.017	62.893	37.107	28.06	224	0.875	bicubic	-48.117	-36.247	+86
417	xcit_small_12_p8_224.fb_in1k	46.977	53.023	60.523	39.477	26.21	224	1.000	bicubic	-48.443	-38.667	+10
418	xcit_large_24_p16_224.fb_in1k	46.940	53.060	60.657	39.343	189.10	224	1.000	bicubic	-48.020	-38.173	+118
419	coat_small.in1k	46.937	53.063	61.307	38.693	21.69	224	0.900	bicubic	-48.253	-37.973	+60
420	xception65p.ra3_in1k	46.923	53.077	61.087	38.913	39.82	299	0.940	bicubic	-48.737	-38.183	-39
421	maxvit_tiny_rw_224.sw_in1k	46.907	53.093	60.897	39.103	29.06	224	0.950	bicubic	-48.833	-38.543	-58
422	resnet101d.ra2_in1k	46.890	53.110	62.340	37.660	44.57	320	1.000	bicubic	-48.850	-36.870	-61
423	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	+145
424	pvt_v2_b2_li.in1k	46.813	53.187	62.490	37.510	22.55	224	0.900	bicubic	-48.407	-36.640	+44
425	resnet152.tv2_in1k	46.803	53.197	61.070	38.930	60.19	224	0.965	bilinear	-48.237	-38.100	+95
426	regnety_640.seer_ft_in1k	46.707	53.293	63.233	36.767	281.38	384	1.000	bicubic	-49.353	-36.247	-135
427	fastvit_sa24.apple_in1k	46.653	53.347	61.710	38.290	21.55	256	0.900	bicubic	-48.627	-37.580	+27
428	seresnext101_64x4d.gluon_in1k	46.650	53.350	61.283	38.717	88.23	224	0.875	bicubic	-48.000	-37.687	+173
429	twins_pcpvt_large.in1k	46.613	53.387	62.263	37.737	60.99	224	0.900	bicubic	-49.107	-37.227	-62
430	convnextv2_nano.fcmae_ft_in22k_in1k	46.607	53.393	62.957	37.043	15.62	288	1.000	bicubic	-48.813	-36.353	-4
431	convnext_tiny.fb_in1k	46.587	53.413	63.187	36.813	28.59	288	1.000	bicubic	-48.623	-36.123	+40
432	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	-104
433	resnet152.a1h_in1k	46.540	53.460	60.403	39.597	60.19	288	1.000	bicubic	-49.210	-38.877	-75
434	efficientformerv2_s2.snap_dist_in1k	46.537	53.463	61.717	38.283	12.71	224	0.950	bicubic	-48.573	-37.403	+66
435	regnetv_064.ra3_in1k	46.480	53.520	62.250	37.750	30.58	288	1.000	bicubic	-49.300	-37.170	-80
436	crossvit_15_dagger_408.in1k	46.467	53.533	60.490	39.510	28.50	408	1.000	bicubic	-49.353	-38.720	-90
437	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	-98
438	resnetrs200.tf_in1k	46.440	53.560	61.067	38.933	93.21	320	1.000	bicubic	-49.910	-38.483	-211
439	swin_s3_small_224.ms_in1k	46.400	53.600	60.893	39.107	49.74	224	0.900	bicubic	-49.430	-38.287	-96
440	coatnet_1_rw_224.sw_in1k	46.393	53.607	60.063	39.937	41.72	224	0.950	bicubic	-49.227	-39.157	-52
441	gcvit_tiny.in1k	46.367	53.633	61.630	38.370	28.22	224	0.875	bicubic	-49.293	-37.700	-61
442	rexnet_300.nav_in1k	46.360	53.640	62.690	37.310	34.71	224	0.875	bicubic	-49.180	-36.500	-39
443	fbnetv3_g.ra2_in1k	46.340	53.660	62.387	37.613	16.62	288	0.950	bilinear	-48.780	-36.813	+54
444	sequencer2d_m.in1k	46.297	53.703	60.920	39.080	38.31	224	0.875	bicubic	-49.283	-38.300	-49
445	tresnet_xl.miil_in1k	46.290	53.710	61.943	38.057	78.44	224	0.875	bilinear	-48.790	-37.347	+62
446	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	-23
447	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	-191
448	deit_small_distilled_patch16_224.fb_in1k	46.173	53.827	62.423	37.577	22.44	224	0.900	bicubic	-48.427	-36.647	+160
449	regnety_160.deit_in1k	46.170	53.830	61.823	38.177	83.59	288	1.000	bicubic	-49.700	-37.617	-117
450	gernet_m.idstcv_in1k	46.163	53.837	62.687	37.313	21.14	224	0.875	bilinear	-48.377	-36.233	+174
451	repvit_m1_1.dist_450e_in1k	46.130	53.870	63.287	36.713	8.80	224	0.950	bicubic	-48.420	-35.863	+172
452	crossvit_base_240.in1k	46.120	53.880	60.207	39.793	105.03	240	0.875	bicubic	-48.950	-38.773	+59
453	resnest50d_1s4x24d.in1k	46.100	53.900	62.373	37.627	25.68	224	0.875	bicubic	-48.280	-36.697	+207
454	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	-82
455	poolformerv2_m36.sail_in1k	46.050	53.950	62.247	37.753	56.08	224	1.000	bicubic	-49.000	-36.833	+61
456	tf_efficientnet_b0.ns_jft_in1k	46.043	53.957	63.277	36.723	5.29	224	0.875	bicubic	-47.707	-35.653	+307
457	poolformerv2_s36.sail_in1k	46.027	53.973	62.253	37.747	30.79	224	1.000	bicubic	-48.673	-36.977	+126
458	nest_base_jx.goog_in1k	46.027	53.973	60.100	39.900	67.72	224	0.875	bicubic	-49.513	-39.190	-53
459	vit_small_patch16_224.augreg_in21k_ft_in1k	46.020	53.980	61.830	38.170	22.05	224	0.900	bicubic	-48.870	-37.240	+89
460	resnet51q.ra2_in1k	46.020	53.980	60.903	39.097	35.70	288	1.000	bilinear	-49.180	-38.377	+18
461	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	+19
462	regnety_080.ra3_in1k	45.980	54.020	60.853	39.147	39.18	288	1.000	bicubic	-49.890	-38.577	-127
463	deit3_small_patch16_224.fb_in1k	45.943	54.057	58.883	41.117	22.06	224	0.900	bicubic	-48.747	-40.297	+127
464	resnest50d.in1k	45.933	54.067	62.620	37.380	27.48	224	0.875	bilinear	-48.667	-36.530	+147
465	convnext_nano.in12k_ft_in1k	45.900	54.100	62.693	37.307	15.59	288	1.000	bicubic	-49.450	-36.757	-25
466	crossvit_18_240.in1k	45.900	54.100	60.350	39.650	43.27	240	0.875	bicubic	-49.170	-38.680	+43
467	levit_384.fb_dist_in1k	45.877	54.123	61.683	38.317	39.13	224	0.900	bicubic	-49.333	-37.477	+7
468	regnety_032.ra_in1k	45.877	54.123	61.540	38.460	19.44	288	1.000	bicubic	-49.583	-37.850	-48
469	levit_conv_384.fb_dist_in1k	45.870	54.130	61.690	38.310	39.13	224	0.900	bicubic	-49.340	-37.590	+6
470	twins_svt_base.in1k	45.870	54.130	60.973	39.027	56.07	224	0.900	bicubic	-49.690	-38.257	-69
471	twins_pcpvt_base.in1k	45.857	54.143	61.330	38.670	43.83	224	0.900	bicubic	-49.613	-37.790	-55
472	convnext_tiny_hnf.a2h_in1k	45.853	54.147	60.180	39.820	28.59	288	1.000	bicubic	-49.397	-39.020	-10
473	crossvit_18_dagger_240.in1k	45.853	54.147	59.920	40.080	44.27	240	0.875	bicubic	-49.327	-39.240	+11
474	regnetz_c16.ra3_in1k	45.790	54.210	62.733	37.267	13.46	320	1.000	bicubic	-49.590	-36.687	-38
475	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	+38
476	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	+62
477	crossvit_15_dagger_240.in1k	45.703	54.297	60.073	39.927	28.21	240	0.875	bicubic	-49.287	-39.117	+53
478	regnetx_320.tv2_in1k	45.673	54.327	60.233	39.767	107.81	224	0.965	bicubic	-49.607	-39.057	-22
479	convmixer_1536_20.in1k	45.663	54.337	61.743	38.257	51.63	224	0.960	bicubic	-49.307	-37.327	+54
480	gc_efficientnetv2_rw_t.agc_in1k	45.653	54.347	60.193	39.807	13.68	288	1.000	bicubic	-49.637	-39.187	-27
481	dm_nfnet_f0.dm_in1k	45.617	54.383	61.277	38.723	71.49	256	0.900	bicubic	-50.073	-38.073	-106
482	flexivit_small.1200ep_in1k	45.617	54.383	59.887	40.113	22.06	240	0.950	bicubic	-49.573	-39.333	0
483	efficientnetv2_rw_t.ra2_in1k	45.603	54.397	60.183	39.817	13.65	288	1.000	bicubic	-49.457	-39.037	+29
484	seresnext101_32x4d.gluon_in1k	45.600	54.400	61.160	38.840	48.96	224	0.875	bicubic	-48.830	-37.870	+164
485	xcit_tiny_24_p16_384.fb_dist_in1k	45.580	54.420	60.507	39.493	12.12	384	1.000	bicubic	-49.910	-38.883	-72
486	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	+9
487	repvit_m1_1.dist_300e_in1k	45.530	54.470	62.647	37.353	8.80	224	0.950	bicubic	-48.650	-36.433	+213
488	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	+26
489	resnext101_64x4d.c1_in1k	45.450	54.550	59.033	40.967	83.46	288	1.000	bicubic	-50.080	-40.257	-81
490	resnet152d.gluon_in1k	45.427	54.573	60.080	39.920	60.21	224	0.875	bicubic	-49.003	-39.010	+160
491	regnety_320.seer_ft_in1k	45.420	54.580	62.227	37.773	145.05	384	1.000	bicubic	-50.370	-37.343	-140
492	nfnet_l0.ra2_in1k	45.417	54.583	62.087	37.913	35.07	288	1.000	bicubic	-49.963	-37.123	-57
493	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	45.413	54.587	62.023	37.977	25.03	224	0.875	bilinear	-49.287	-37.057	+90
494	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	+69
495	resnetv2_50x1_bit.goog_distilled_in1k	45.407	54.593	62.297	37.703	25.55	224	0.875	bicubic	-50.003	-37.023	-67
496	cs3se_edgenet_x.c2ns_in1k	45.393	54.607	60.447	39.553	50.72	320	1.000	bicubic	-50.607	-38.903	-192
497	resnet101.tv2_in1k	45.363	54.637	60.060	39.940	44.55	224	0.965	bilinear	-49.477	-38.970	+63
498	nest_small_jx.goog_in1k	45.350	54.650	59.040	40.960	38.35	224	0.875	bicubic	-50.190	-40.180	-93
499	tf_efficientnet_b7.aa_in1k	45.307	54.693	61.730	38.270	66.35	600	0.949	bicubic	-50.763	-37.610	-211
500	resnet61q.ra2_in1k	45.280	54.720	59.407	40.593	36.85	288	1.000	bicubic	-49.850	-39.853	-6
501	pvt_v2_b2.in1k	45.277	54.723	60.613	39.387	25.36	224	0.900	bicubic	-49.733	-38.437	+24
502	cs3edgenet_x.c2_in1k	45.257	54.743	60.260	39.740	47.82	288	1.000	bicubic	-50.203	-39.060	-81
503	nasnetalarge.tf_in1k	45.223	54.777	57.893	42.107	88.75	331	0.911	bicubic	-49.927	-41.377	-15
504	focalnet_tiny_lrf.ms_in1k	45.217	54.783	61.300	38.700	28.65	224	0.900	bicubic	-49.973	-37.880	-24
505	tresnet_xl.miil_in1k_448	45.213	54.787	61.447	38.553	78.44	448	0.875	bilinear	-50.297	-37.893	-95
506	flexivit_small.600ep_in1k	45.203	54.797	59.420	40.580	22.06	240	0.950	bicubic	-50.057	-39.960	-47
507	convit_small.fb_in1k	45.200	54.800	60.487	39.513	27.78	224	0.875	bicubic	-49.720	-38.693	+36
508	efficientvit_b2.r224_in1k	45.193	54.807	59.150	40.850	24.33	224	0.950	bicubic	-49.657	-39.970	+51
509	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	-138
510	sequencer2d_s.in1k	45.113	54.887	60.067	39.933	27.65	224	0.875	bicubic	-50.347	-39.193	-88
511	tf_efficientnet_b3.aa_in1k	45.110	54.890	60.637	39.363	12.23	300	0.904	bicubic	-49.800	-38.473	+34
512	rexnet_200.nav_in1k	45.063	54.937	62.323	37.677	16.37	224	0.875	bicubic	-49.607	-36.767	+87
513	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	-70
514	resnetrs152.tf_in1k	44.950	55.050	59.690	40.310	86.62	320	1.000	bicubic	-51.010	-39.660	-199
515	deit_base_patch16_224.fb_in1k	44.867	55.133	59.170	40.830	86.57	224	0.900	bicubic	-50.153	-40.000	+9
516	flexivit_small.300ep_in1k	44.850	55.150	59.360	40.640	22.06	240	0.950	bicubic	-50.300	-39.770	-29
517	focalnet_tiny_srf.ms_in1k	44.833	55.167	61.040	38.960	28.43	224	0.900	bicubic	-50.207	-38.240	+2
518	coatnet_bn_0_rw_224.sw_in1k	44.803	55.197	60.913	39.087	27.44	224	0.950	bicubic	-50.177	-38.317	+13
519	tiny_vit_11m_224.in1k	44.803	55.197	60.097	39.903	11.00	224	0.950	bicubic	-50.437	-39.223	-54
520	deit_base_patch16_384.fb_in1k	44.770	55.230	59.600	40.400	86.86	384	1.000	bicubic	-50.870	-39.820	-136
521	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
522	cait_xxs36_384.fb_dist_in1k	44.760	55.240	59.387	40.613	17.37	384	1.000	bicubic	-50.480	-39.933	-59
523	resnet101.a1h_in1k	44.727	55.273	59.120	40.880	44.55	288	1.000	bicubic	-50.853	-40.130	-127
524	gernet_l.idstcv_in1k	44.720	55.280	58.950	41.050	31.08	256	0.875	bilinear	-50.210	-40.250	+16
525	tf_efficientnet_b2.ap_in1k	44.710	55.290	60.687	39.313	9.11	260	0.890	bicubic	-49.560	-38.353	+158
526	resmlp_24_224.fb_distilled_in1k	44.707	55.293	61.463	38.537	30.02	224	0.875	bicubic	-49.623	-37.627	+145
527	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	+162
528	repvit_m2.dist_in1k	44.673	55.327	61.730	38.270	8.80	224	0.950	bicubic	-49.727	-37.320	+128
529	regnety_032.tv2_in1k	44.650	55.350	60.897	39.103	19.44	224	0.965	bicubic	-50.220	-38.243	+24
530	ecaresnetlight.miil_in1k	44.580	55.420	60.383	39.617	30.16	288	0.950	bicubic	-49.950	-38.797	+95
531	swinv2_tiny_window16_256.ms_in1k	44.570	55.430	59.573	40.427	28.35	256	0.900	bicubic	-50.760	-39.577	-87
532	vit_relpos_small_patch16_224.sw_in1k	44.553	55.447	60.210	39.790	21.98	224	0.900	bicubic	-50.127	-38.890	+59
533	gmlp_s16_224.ra3_in1k	44.470	55.530	58.617	41.383	19.42	224	0.875	bicubic	-49.030	-40.223	+274
534	tiny_vit_5m_224.dist_in22k_ft_in1k	44.460	55.540	60.940	39.060	5.39	224	0.950	bicubic	-50.170	-38.200	+68
535	regnety_160.tv2_in1k	44.427	55.573	59.227	40.773	83.59	224	0.965	bicubic	-50.733	-40.023	-50
536	resnetv2_101.a1h_in1k	44.423	55.577	58.697	41.303	44.54	288	1.000	bicubic	-51.147	-40.573	-138
537	inception_resnet_v2.tf_ens_adv_in1k	44.393	55.607	58.113	41.887	55.84	299	0.897	bicubic	-49.727	-40.737	+175
538	tresnet_l.miil_in1k	44.387	55.613	59.947	40.053	55.99	224	0.875	bilinear	-50.513	-39.083	+9
539	repvit_m1_0.dist_450e_in1k	44.373	55.627	61.417	38.583	7.30	224	0.950	bicubic	-49.897	-37.623	+141
540	maxxvitv2_nano_rw_256.sw_in1k	44.373	55.627	58.830	41.170	23.70	256	0.950	bicubic	-51.057	-40.360	-114
541	repvit_m1_0.dist_300e_in1k	44.367	55.633	61.453	38.547	7.30	224	0.950	bicubic	-49.393	-37.467	+220
542	resnext101_32x4d.gluon_in1k	44.280	55.720	59.057	40.943	44.18	224	0.875	bicubic	-49.850	-39.883	+167
543	gcvit_xtiny.in1k	44.247	55.753	59.973	40.027	19.98	224	0.875	bicubic	-50.773	-39.187	-20
544	regnety_080_tv.tv2_in1k	44.183	55.817	58.787	41.213	39.38	224	0.965	bicubic	-51.117	-40.573	-94
545	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	-121
546	poolformer_m48.sail_in1k	44.160	55.840	59.153	40.847	73.47	224	0.950	bicubic	-50.940	-39.947	-43
547	regnetz_c16_evos.ch_in1k	44.143	55.857	61.067	38.933	13.49	320	0.950	bicubic	-51.497	-38.173	-164
548	vit_srelpos_small_patch16_224.sw_in1k	44.130	55.870	59.693	40.307	21.97	224	0.900	bicubic	-50.420	-39.397	+74
549	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	-103
550	crossvit_15_240.in1k	44.110	55.890	59.143	40.857	27.53	240	0.875	bicubic	-50.590	-40.097	+36
551	fastvit_sa12.apple_dist_in1k	44.103	55.897	59.110	40.890	11.58	256	0.900	bicubic	-50.577	-39.810	+41
552	convnextv2_nano.fcmae_ft_in1k	44.100	55.900	60.167	39.833	15.62	288	1.000	bicubic	-51.040	-39.043	-62
553	pit_b_224.in1k	44.080	55.920	58.023	41.977	73.76	224	0.900	bicubic	-50.730	-41.237	+14
554	resnet152s.gluon_in1k	44.060	55.940	58.710	41.290	60.32	224	0.875	bicubic	-50.650	-40.350	+28
555	resnet50.fb_ssl_yfcc100m_ft_in1k	44.023	55.977	61.890	38.110	25.56	224	0.875	bilinear	-50.287	-37.260	+118
556	poolformer_m36.sail_in1k	44.007	55.993	59.033	40.967	56.17	224	0.950	bicubic	-51.023	-40.067	-36
557	inception_resnet_v2.tf_in1k	44.007	55.993	57.920	42.080	55.84	299	0.897	bicubic	-50.353	-40.880	+110
558	pnasnet5large.tf_in1k	43.943	56.057	56.740	43.260	86.06	331	0.911	bicubic	-51.417	-42.390	-119
559	resnext101_64x4d.gluon_in1k	43.913	56.087	58.707	41.293	83.46	224	0.875	bicubic	-50.437	-40.363	+111
560	wide_resnet50_2.tv2_in1k	43.907	56.093	59.630	40.370	68.88	224	0.965	bilinear	-50.903	-39.350	+2
561	coatnext_nano_rw_224.sw_in1k	43.907	56.093	58.663	41.337	14.70	224	0.900	bicubic	-50.943	-40.537	-3
562	pit_s_224.in1k	43.907	56.093	58.640	41.360	23.46	224	0.900	bicubic	-50.683	-40.500	+52
563	coat_lite_small.in1k	43.817	56.183	57.127	42.873	19.84	224	0.900	bicubic	-51.253	-41.993	-53
564	mobilevitv2_200.cvnets_in22k_ft_in1k	43.810	56.190	59.490	40.510	18.45	256	0.888	bicubic	-51.240	-39.670	-46
565	tnt_s_patch16_224	43.777	56.223	59.220	40.780	23.76	224	0.900	bicubic	-50.783	-39.920	+53
566	regnetv_040.ra3_in1k	43.777	56.223	58.443	41.557	20.64	288	1.000	bicubic	-51.953	-40.937	-201
567	swinv2_cr_small_224.sw_in1k	43.767	56.233	57.717	42.283	49.70	224	0.900	bicubic	-51.643	-41.343	-137
568	cspresnext50.ra_in1k	43.763	56.237	60.147	39.853	20.57	256	0.887	bilinear	-50.477	-38.903	+120
569	cait_xxs36_224.fb_dist_in1k	43.757	56.243	58.740	41.260	17.30	224	1.000	bicubic	-50.153	-40.350	+172
570	pit_xs_distilled_224.in1k	43.723	56.277	60.657	39.343	11.00	224	0.900	bicubic	-49.567	-38.133	+271
571	swin_s3_tiny_224.ms_in1k	43.717	56.283	59.507	40.493	28.33	224	0.900	bicubic	-51.203	-39.593	-29
572	tf_efficientnetv2_s.in1k	43.710	56.290	58.593	41.407	21.46	384	1.000	bicubic	-52.000	-40.787	-204
573	rexnet_150.nav_in1k	43.693	56.307	60.923	39.077	9.73	224	0.875	bicubic	-50.587	-38.057	+105
574	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	+14
575	edgenext_small.usi_in1k	43.637	56.363	59.893	40.107	5.59	320	1.000	bicubic	-51.193	-39.517	-14
576	tf_efficientnet_b5.in1k	43.623	56.377	60.133	39.867	30.39	456	0.934	bicubic	-52.247	-39.257	-238
577	efficientformer_l1.snap_dist_in1k	43.593	56.407	59.957	40.043	12.29	224	0.950	bicubic	-50.347	-38.973	+158
578	maxvit_nano_rw_256.sw_in1k	43.523	56.477	57.610	42.390	15.45	256	0.950	bicubic	-51.947	-41.780	-160
579	wide_resnet50_2.racm_in1k	43.503	56.497	59.053	40.947	68.88	288	0.950	bicubic	-51.627	-40.237	-88
580	cs3sedarknet_x.c2ns_in1k	43.503	56.497	58.770	41.230	35.40	288	1.000	bicubic	-51.907	-40.660	-151
581	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	-75
582	crossvit_small_240.in1k	43.473	56.527	58.950	41.050	26.86	240	0.875	bicubic	-51.107	-40.100	+32
583	regnety_016.tv2_in1k	43.433	56.567	59.540	40.460	11.20	224	0.965	bicubic	-50.977	-39.500	+68
584	resnet101d.gluon_in1k	43.430	56.570	58.627	41.373	44.57	224	0.875	bicubic	-50.750	-40.383	+118
585	ecaresnet50t.ra2_in1k	43.417	56.583	59.313	40.687	25.57	320	0.950	bicubic	-51.663	-39.827	-79
586	resnet101s.gluon_in1k	43.370	56.630	58.517	41.483	44.67	224	0.875	bicubic	-50.810	-40.423	+115
587	efficientvit_b1.r288_in1k	43.367	56.633	57.850	42.150	9.10	288	1.000	bicubic	-50.863	-40.970	+104
588	cspdarknet53.ra_in1k	43.360	56.640	59.420	40.580	27.64	256	0.887	bilinear	-50.740	-39.560	+125
589	tf_efficientnet_b4.in1k	43.330	56.670	59.447	40.553	19.34	380	0.922	bicubic	-52.150	-39.823	-174
590	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	-44
591	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	-149
592	visformer_small.in1k	43.273	56.727	57.977	42.023	40.22	224	0.900	bicubic	-51.697	-41.193	-60
593	convmixer_768_32.in1k	43.270	56.730	59.383	40.617	21.11	224	0.960	bicubic	-51.170	-39.497	+52
594	repvit_m0_9.dist_300e_in1k	43.243	56.757	60.377	39.623	5.49	224	0.950	bicubic	-50.217	-38.573	+222
595	eca_nfnet_l0.ra2_in1k	43.227	56.773	59.930	40.070	24.14	288	1.000	bicubic	-52.233	-39.350	-176
596	ecaresnet101d_pruned.miil_in1k	43.220	56.780	58.967	41.033	24.88	288	0.950	bicubic	-51.780	-40.263	-69
597	regnety_064.ra3_in1k	43.213	56.787	57.253	42.747	30.58	288	1.000	bicubic	-52.577	-42.097	-243
598	poolformerv2_s24.sail_in1k	43.190	56.810	60.430	39.570	21.34	224	1.000	bicubic	-51.280	-38.580	+40
599	regnetx_160.tv2_in1k	43.187	56.813	57.480	42.520	54.28	224	0.965	bicubic	-52.023	-41.680	-126
600	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	+258
601	vit_small_patch32_384.augreg_in21k_ft_in1k	43.150	56.850	59.313	40.687	22.92	384	1.000	bicubic	-51.440	-39.617	+11
602	resnest26d.gluon_in1k	43.140	56.860	60.637	39.363	17.07	224	0.875	bilinear	-50.080	-38.213	+246
603	twins_pcpvt_small.in1k	43.120	56.880	58.890	41.110	24.11	224	0.900	bicubic	-51.480	-40.210	+4
604	regnetx_080.tv2_in1k	43.090	56.910	57.923	42.077	39.57	224	0.965	bicubic	-51.640	-41.107	-25
605	repvit_m0_9.dist_450e_in1k	43.073	56.927	60.200	39.800	5.49	224	0.950	bicubic	-50.367	-38.450	+215
606	resmlp_36_224.fb_in1k	43.060	56.940	59.300	40.700	44.69	224	0.875	bicubic	-50.590	-39.350	+174
607	cspresnet50.ra_in1k	43.050	56.950	59.157	40.843	21.62	256	0.887	bilinear	-50.820	-39.733	+139
608	coatnet_nano_rw_224.sw_in1k	43.030	56.970	57.927	42.073	15.14	224	0.900	bicubic	-52.020	-41.223	-91
609	ecaresnet50d.miil_in1k	43.020	56.980	59.417	40.583	25.58	288	0.950	bicubic	-51.650	-39.813	-14
610	tf_efficientnet_lite4.in1k	42.990	57.010	57.630	42.370	13.01	380	0.920	bilinear	-51.880	-41.470	-55
611	twins_svt_small.in1k	42.917	57.083	58.460	41.540	24.06	224	0.900	bicubic	-51.843	-40.490	-39
612	dpn131.mx_in1k	42.917	57.083	57.130	42.870	79.25	224	0.875	bicubic	-50.863	-41.830	+149
613	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	-179
614	resnet152.gluon_in1k	42.900	57.100	57.747	42.253	60.19	224	0.875	bicubic	-51.130	-41.103	+110
615	fastvit_sa12.apple_in1k	42.880	57.120	58.800	41.200	11.58	256	0.900	bicubic	-51.550	-40.200	+34
616	fbnetv3_d.ra2_in1k	42.850	57.150	59.677	40.323	10.31	256	0.950	bilinear	-51.020	-39.193	+129
617	levit_conv_256.fb_dist_in1k	42.823	57.177	57.897	42.103	18.89	224	0.900	bicubic	-51.577	-41.163	+36
618	resnet50.tv2_in1k	42.820	57.180	58.570	41.430	25.56	224	0.965	bilinear	-51.780	-40.460	-9
619	resnet152c.gluon_in1k	42.813	57.187	57.720	42.280	60.21	224	0.875	bicubic	-51.057	-41.080	+128
620	levit_256.fb_dist_in1k	42.810	57.190	57.897	42.103	18.89	224	0.900	bicubic	-51.590	-41.163	+32
621	tf_efficientnet_b1.ap_in1k	42.800	57.200	58.820	41.180	7.79	240	0.882	bicubic	-50.830	-39.980	+165
622	resnext50_32x4d.tv2_in1k	42.780	57.220	57.567	42.433	25.03	224	0.965	bilinear	-51.680	-41.333	+18
623	gcresnet50t.ra2_in1k	42.767	57.233	59.033	40.967	25.90	288	1.000	bicubic	-52.013	-40.087	-53
624	coatnet_0_rw_224.sw_in1k	42.753	57.247	56.233	43.767	27.44	224	0.950	bicubic	-52.147	-42.957	-76
625	tresnet_l.miil_in1k_448	42.740	57.260	58.943	41.057	55.99	448	0.875	bilinear	-52.660	-40.457	-193
626	cs3darknet_x.c2ns_in1k	42.727	57.273	58.190	41.810	35.05	288	1.000	bicubic	-52.553	-41.120	-171
627	dpn107.mx_in1k	42.710	57.290	57.160	42.840	86.92	224	0.875	bicubic	-51.300	-41.870	+102
628	seresnext50_32x4d.gluon_in1k	42.683	57.317	58.707	41.293	27.56	224	0.875	bicubic	-51.487	-40.213	+76
629	convnext_nano.d1h_in1k	42.677	57.323	57.577	42.423	15.59	288	1.000	bicubic	-52.193	-41.653	-75
630	tresnet_m.miil_in1k	42.670	57.330	58.160	41.840	31.39	224	0.875	bilinear	-51.410	-40.670	+88
631	fastvit_s12.apple_dist_in1k	42.643	57.357	58.160	41.840	9.47	256	0.900	bicubic	-51.637	-40.700	+48
632	resnetaa50d.sw_in12k_ft_in1k	42.610	57.390	58.490	41.510	25.58	288	1.000	bicubic	-52.680	-40.730	-180
633	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	-6
634	regnety_040.ra3_in1k	42.577	57.423	57.010	42.990	20.65	288	1.000	bicubic	-52.913	-42.240	-223
635	resnext101_32x8d.tv_in1k	42.563	57.437	58.303	41.697	88.79	224	0.875	bilinear	-51.217	-40.547	+124
636	efficientvit_b1.r256_in1k	42.527	57.473	57.427	42.573	9.10	256	1.000	bicubic	-51.183	-41.363	+136
637	nf_resnet50.ra2_in1k	42.517	57.483	59.530	40.470	25.56	288	0.940	bicubic	-51.863	-39.290	+21
638	mobilevitv2_175.cvnets_in22k_ft_in1k	42.517	57.483	58.117	41.883	14.25	256	0.888	bicubic	-52.263	-40.973	-66
639	seresnext50_32x4d.racm_in1k	42.433	57.567	58.093	41.907	27.56	288	0.950	bicubic	-52.567	-41.097	-111
640	resnetrs101.tf_in1k	42.417	57.583	57.283	42.717	63.62	288	0.940	bicubic	-52.833	-41.697	-180
641	poolformer_s36.sail_in1k	42.383	57.617	58.827	41.173	30.86	224	0.900	bicubic	-52.237	-40.293	-36
642	repvit_m1.dist_in1k	42.350	57.650	59.677	40.323	5.49	224	0.950	bicubic	-51.030	-38.973	+191
643	nest_tiny_jx.goog_in1k	42.320	57.680	57.067	42.933	17.06	224	0.875	bicubic	-52.600	-42.103	-99
644	mobileone_s4.apple_in1k	42.317	57.683	58.033	41.967	14.95	224	0.900	bilinear	-51.333	-40.917	+137
645	tf_efficientnetv2_b3.in1k	42.313	57.687	57.943	42.057	14.36	300	0.904	bicubic	-52.807	-41.277	-147
646	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	+104
647	resnet152.a1_in1k	42.273	57.727	55.530	44.470	60.19	288	1.000	bicubic	-52.817	-43.460	-142
648	convmixer_1024_20_ks9_p14.in1k	42.267	57.733	59.723	40.277	24.38	224	0.960	bicubic	-50.063	-38.707	+292
649	deit_small_patch16_224.fb_in1k	42.263	57.737	58.030	41.970	22.05	224	0.900	bicubic	-51.727	-41.010	+83
650	mobileone_s3.apple_in1k	42.257	57.743	59.270	40.730	10.17	224	0.900	bilinear	-50.723	-39.350	+228
651	tf_efficientnet_cc_b1_8e.in1k	42.247	57.753	58.430	41.570	39.72	240	0.882	bicubic	-51.333	-40.260	+144
652	legacy_senet154.in1k	42.230	57.770	56.620	43.380	115.09	224	0.875	bilinear	-52.500	-42.480	-74
653	cait_xxs24_384.fb_dist_in1k	42.183	57.817	57.473	42.527	12.03	384	1.000	bicubic	-52.767	-41.657	-116
654	dpn98.mx_in1k	42.180	57.820	56.597	43.403	61.57	224	0.875	bicubic	-51.750	-42.313	+83
655	xception41p.ra3_in1k	42.160	57.840	56.883	43.117	26.91	299	0.940	bicubic	-52.890	-42.257	-140
656	tf_efficientnet_b2.aa_in1k	42.123	57.877	58.197	41.803	9.11	260	0.890	bicubic	-52.097	-40.733	+38
657	resnet50.b1k_in1k	42.080	57.920	58.153	41.847	25.56	288	1.000	bicubic	-52.430	-40.917	-24
658	resnext50_32x4d.gluon_in1k	42.050	57.950	57.673	42.327	25.03	224	0.875	bicubic	-51.620	-41.017	+121
659	convnext_nano_ols.d1h_in1k	42.023	57.977	56.867	43.133	15.65	288	1.000	bicubic	-52.557	-42.253	-44
660	pvt_v2_b1.in1k	41.953	58.047	59.593	40.407	14.01	224	0.900	bicubic	-51.537	-39.117	+148
661	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	+174
662	efficientnet_b2.ra_in1k	41.937	58.063	58.297	41.703	9.11	288	1.000	bicubic	-52.423	-40.743	+2
663	mobilevitv2_150.cvnets_in22k_ft_in1k	41.937	58.063	57.913	42.087	10.59	256	0.888	bicubic	-52.743	-41.197	-69
664	resnet50.b2k_in1k	41.910	58.090	57.673	42.327	25.56	288	1.000	bicubic	-52.390	-41.257	+12
665	efficientformerv2_s1.snap_dist_in1k	41.870	58.130	57.973	42.027	6.19	224	0.950	bicubic	-51.970	-40.917	+86
666	gcvit_xxtiny.in1k	41.837	58.163	58.440	41.560	12.00	224	0.875	bicubic	-52.213	-40.640	+54
667	fastvit_t12.apple_dist_in1k	41.817	58.183	57.597	42.403	7.55	256	0.900	bicubic	-52.283	-41.353	+47
668	tf_efficientnet_b3.in1k	41.803	58.197	58.057	41.943	12.23	300	0.904	bicubic	-52.487	-41.043	+9
669	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	-228
670	resnet50d.ra2_in1k	41.787	58.213	58.023	41.977	25.58	288	0.950	bicubic	-53.023	-40.797	-105
671	resnext50_32x4d.a1h_in1k	41.753	58.247	56.443	43.557	25.03	288	1.000	bicubic	-53.237	-42.717	-142
672	gcresnext50ts.ch_in1k	41.707	58.293	57.403	42.597	15.67	288	1.000	bicubic	-52.783	-41.607	-36
673	efficientvit_b1.r224_in1k	41.703	58.297	56.600	43.400	9.10	224	0.950	bicubic	-51.627	-41.970	+166
674	poolformer_s24.sail_in1k	41.700	58.300	58.470	41.530	21.39	224	0.900	bicubic	-52.690	-40.590	-16
675	edgenext_small_rw.sw_in1k	41.677	58.323	58.517	41.483	7.83	320	1.000	bicubic	-52.683	-40.533	-10
676	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	-218
677	hrnet_w64.ms_in1k	41.643	58.357	57.113	42.887	128.06	224	0.875	bilinear	-52.187	-41.827	+75
678	dla102x2.in1k	41.637	58.363	57.970	42.030	41.28	224	0.875	bilinear	-52.353	-40.990	+53
679	senet154.gluon_in1k	41.627	58.373	56.353	43.647	115.09	224	0.875	bicubic	-53.073	-42.617	-92
680	seresnet50.ra2_in1k	41.593	58.407	57.987	42.013	28.09	288	0.950	bicubic	-53.147	-41.123	-103
681	inception_v4.tf_in1k	41.557	58.443	55.380	44.620	42.68	299	0.875	bicubic	-52.823	-43.690	-20
682	cs3sedarknet_l.c2ns_in1k	41.553	58.447	57.350	42.650	21.91	288	0.950	bicubic	-53.557	-41.860	-183
683	convnext_tiny.fb_in22k_ft_in1k	41.533	58.467	55.470	44.530	28.59	288	1.000	bicubic	-51.997	-43.130	+121
684	haloregnetz_b.ra3_in1k	41.527	58.473	57.087	42.913	11.68	224	0.940	bicubic	-52.993	-41.893	-54
685	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	-113
686	efficientnet_em.ra2_in1k	41.490	58.510	58.873	41.127	6.90	240	0.882	bicubic	-52.240	-40.057	+79
687	efficientnet_el.ra_in1k	41.490	58.510	58.293	41.707	10.59	300	0.904	bicubic	-53.180	-40.837	-89
688	tf_efficientnet_cc_b0_8e.in1k	41.483	58.517	57.370	42.630	24.01	224	0.875	bicubic	-51.387	-41.090	+209
689	convnextv2_pico.fcmae_ft_in1k	41.477	58.523	58.050	41.950	9.07	288	0.950	bicubic	-53.083	-41.120	-68
690	halo2botnet50ts_256.a1h_in1k	41.460	58.540	56.190	43.810	22.64	256	0.950	bicubic	-53.550	-42.950	-164
691	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	-87
692	resnetv2_50d_evos.ah_in1k	41.407	58.593	56.500	43.500	25.59	288	1.000	bicubic	-53.513	-42.600	-151
693	resnet50.a1h_in1k	41.387	58.613	56.677	43.323	25.56	224	1.000	bicubic	-52.813	-42.243	+6
694	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
695	swinv2_tiny_window8_256.ms_in1k	41.370	58.630	57.150	42.850	28.35	256	0.900	bicubic	-53.650	-41.820	-173
696	resnet152.tv_in1k	41.330	58.670	57.513	42.487	60.19	224	0.875	bilinear	-51.910	-41.187	+149
697	dpn68b.ra_in1k	41.297	58.703	55.077	44.923	12.61	288	1.000	bicubic	-52.493	-43.863	+61
698	resnet50.ram_in1k	41.297	58.703	55.033	44.967	25.56	288	0.950	bicubic	-52.703	-43.847	+32
699	cs3darknet_l.c2ns_in1k	41.277	58.723	57.377	42.623	21.16	288	0.950	bicubic	-53.393	-41.883	-103
700	xception71.tf_in1k	41.273	58.727	55.890	44.110	42.34	299	0.903	bicubic	-52.647	-43.060	+39
701	gernet_s.idstcv_in1k	41.260	58.740	58.823	41.177	8.17	224	0.875	bilinear	-51.180	-39.677	+232
702	inception_v3.tf_adv_in1k	41.253	58.747	56.327	43.673	23.83	299	0.875	bicubic	-51.757	-42.493	+171
703	resnet101.a1_in1k	41.207	58.793	54.273	45.727	44.55	288	1.000	bicubic	-53.733	-44.927	-164
704	dpn92.mx_in1k	41.203	58.797	56.217	43.783	37.67	224	0.875	bicubic	-52.947	-42.733	+2
705	resnetv2_50d_gn.ah_in1k	41.113	58.887	56.520	43.480	25.57	288	1.000	bicubic	-54.107	-42.510	-235
706	resnet50.c1_in1k	41.090	58.910	56.453	43.547	25.56	288	1.000	bicubic	-53.420	-42.547	-74
707	nf_regnet_b1.ra2_in1k	41.010	58.990	58.133	41.867	10.22	288	0.900	bicubic	-52.880	-40.757	+36
708	resnet50d.gluon_in1k	40.963	59.037	57.130	42.870	25.58	224	0.875	bicubic	-52.577	-41.580	+94
709	fbnetv3_b.ra2_in1k	40.960	59.040	58.650	41.350	8.60	256	0.950	bilinear	-52.670	-40.300	+76
710	resnet152.a3_in1k	40.940	59.060	55.030	44.970	60.19	224	0.950	bicubic	-53.500	-44.150	-63
711	inception_v3.gluon_in1k	40.910	59.090	55.623	44.377	23.83	299	0.875	bicubic	-52.650	-43.217	+86
712	ecaresnet50d_pruned.miil_in1k	40.907	59.093	57.633	42.367	19.94	288	0.950	bicubic	-53.393	-41.567	-37
713	cs3darknet_focus_l.c2ns_in1k	40.893	59.107	56.630	43.370	21.15	288	0.950	bicubic	-53.897	-42.530	-144
714	resnetv2_50.a1h_in1k	40.890	59.110	56.383	43.617	25.55	288	1.000	bicubic	-53.790	-42.707	-121
715	levit_conv_192.fb_dist_in1k	40.840	59.160	56.707	43.293	10.95	224	0.900	bicubic	-52.870	-42.113	+59
716	levit_192.fb_dist_in1k	40.837	59.163	56.710	43.290	10.95	224	0.900	bicubic	-52.873	-42.220	+57
717	tiny_vit_5m_224.in1k	40.827	59.173	57.257	42.743	5.39	224	0.950	bicubic	-52.963	-41.283	+39
718	regnety_320.pycls_in1k	40.810	59.190	56.110	43.890	145.05	224	0.875	bicubic	-53.710	-42.850	-92
719	regnetx_032.tv2_in1k	40.790	59.210	56.627	43.373	15.30	224	0.965	bicubic	-53.730	-42.543	-88
720	eva02_tiny_patch14_336.mim_in22k_ft_in1k	40.767	59.233	56.067	43.933	5.76	336	1.000	bicubic	-53.683	-43.033	-78
721	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	-24
722	legacy_xception.tf_in1k	40.753	59.247	56.397	43.603	22.86	299	0.897	bicubic	-52.867	-42.373	+65
723	lamhalobotnet50ts_256.a1h_in1k	40.753	59.247	56.103	43.897	22.57	256	0.950	bicubic	-54.057	-43.127	-156
724	resnet152.a2_in1k	40.737	59.263	54.280	45.720	60.19	288	1.000	bicubic	-54.233	-44.930	-189
725	vit_base_patch32_384.augreg_in1k	40.710	59.290	55.197	44.803	88.30	384	1.000	bicubic	-52.450	-43.413	+128
726	skresnext50_32x4d.ra_in1k	40.703	59.297	56.023	43.977	27.48	224	0.875	bicubic	-53.267	-42.807	+7
727	resnet101.gluon_in1k	40.693	59.307	56.137	43.863	44.55	224	0.875	bicubic	-53.067	-42.563	+35
728	hrnet_w40.ms_in1k	40.660	59.340	56.757	43.243	57.56	224	0.875	bilinear	-53.070	-42.043	+39
729	resmlp_24_224.fb_in1k	40.657	59.343	56.557	43.443	30.02	224	0.875	bicubic	-52.763	-42.273	+98
730	resnext50_32x4d.ra_in1k	40.627	59.373	56.340	43.660	25.03	288	0.950	bicubic	-53.703	-42.690	-58
731	resnet50.am_in1k	40.610	59.390	57.377	42.623	25.56	224	0.875	bicubic	-53.030	-41.493	+52
732	repvgg_b1.rvgg_in1k	40.607	59.393	57.843	42.157	57.42	224	0.875	bilinear	-52.833	-40.947	+90
733	ese_vovnet39b.ra_in1k	40.590	59.410	56.600	43.400	24.57	288	0.950	bicubic	-53.890	-42.460	-96
734	halonet50ts.a1h_in1k	40.577	59.423	55.193	44.807	22.73	256	0.940	bicubic	-54.143	-43.867	-153
735	tf_efficientnet_lite3.in1k	40.560	59.440	56.467	43.533	8.20	300	0.904	bilinear	-53.530	-42.373	-19
736	mobilevitv2_175.cvnets_in1k	40.537	59.463	56.273	43.727	14.25	256	0.888	bicubic	-53.693	-42.657	-44
737	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	-69
738	dla169.in1k	40.523	59.477	57.240	42.760	53.39	224	0.875	bilinear	-53.277	-41.670	+17
739	tresnet_m.miil_in1k_448	40.520	59.480	56.687	43.313	31.39	448	0.875	bilinear	-54.140	-42.463	-139
740	regnetz_b16.ra3_in1k	40.507	59.493	56.003	43.997	9.72	288	1.000	bicubic	-54.163	-43.127	-142
741	pit_xs_224.in1k	40.493	59.507	56.540	43.460	10.62	224	0.900	bicubic	-52.397	-42.240	+152
742	resnetaa50.a1h_in1k	40.483	59.517	55.987	44.013	25.56	288	1.000	bicubic	-54.367	-42.983	-184
743	regnetx_320.pycls_in1k	40.470	59.530	55.653	44.347	107.81	224	0.875	bicubic	-53.760	-43.297	-53
744	vit_base_patch16_384.augreg_in1k	40.470	59.530	53.250	46.750	86.86	384	1.000	bicubic	-53.970	-45.780	-98
745	repvgg_b2.rvgg_in1k	40.467	59.533	57.780	42.220	89.02	224	0.875	bilinear	-53.113	-41.010	+48
746	coat_mini.in1k	40.420	59.580	55.200	44.800	10.34	224	0.900	bicubic	-54.340	-43.890	-172
747	eca_resnet33ts.ra2_in1k	40.400	59.600	57.340	42.660	19.68	288	1.000	bicubic	-53.850	-41.690	-60
748	resnet34d.ra2_in1k	40.400	59.600	56.170	43.830	21.82	288	0.950	bicubic	-53.200	-42.590	+41
749	skresnet34.ra_in1k	40.393	59.607	56.730	43.270	22.28	224	0.875	bicubic	-52.177	-41.790	+175
750	efficientnet_el_pruned.in1k	40.383	59.617	56.907	43.093	10.59	300	0.904	bicubic	-53.707	-42.113	-35
751	efficientnet_b2_pruned.in1k	40.373	59.627	56.520	43.480	8.31	260	0.890	bicubic	-53.427	-42.340	+3
752	wide_resnet101_2.tv_in1k	40.363	59.637	55.790	44.210	126.89	224	0.875	bilinear	-53.357	-43.010	+16
753	coat_lite_mini.in1k	40.357	59.643	55.697	44.303	11.01	224	0.900	bicubic	-53.113	-43.073	+60
754	sebotnet33ts_256.a1h_in1k	40.353	59.647	53.223	46.777	13.70	256	0.940	bicubic	-53.957	-45.377	-80
755	legacy_seresnext101_32x4d.in1k	40.347	59.653	54.817	45.183	48.96	224	0.875	bilinear	-53.773	-43.973	-45
756	tf_efficientnet_b0.ap_in1k	40.343	59.657	56.803	43.197	5.29	224	0.875	bicubic	-52.277	-41.567	+161
757	densenet201.tv_in1k	40.283	59.717	56.713	43.287	20.01	224	0.875	bicubic	-52.417	-41.887	+153
758	mobileone_s2.apple_in1k	40.263	59.737	57.967	42.033	7.88	224	0.900	bilinear	-52.397	-40.683	+156
759	regnetx_160.pycls_in1k	40.253	59.747	56.050	43.950	54.28	224	0.875	bicubic	-53.657	-42.840	-19
760	xception65.tf_in1k	40.253	59.747	55.263	44.737	39.92	299	0.903	bicubic	-53.497	-43.607	+5
761	resnet101.a2_in1k	40.190	59.810	54.223	45.777	44.55	288	1.000	bicubic	-54.700	-45.047	-210
762	resnet50.c2_in1k	40.187	59.813	55.247	44.753	25.56	288	1.000	bicubic	-54.083	-43.573	-80
763	resnet50.ra_in1k	40.180	59.820	56.197	43.803	25.56	288	0.950	bicubic	-53.910	-42.763	-46
764	resnetblur50.bt_in1k	40.163	59.837	56.190	43.810	25.56	288	0.950	bicubic	-54.007	-42.820	-61
765	poolformerv2_s12.sail_in1k	40.160	59.840	57.447	42.553	11.89	224	1.000	bicubic	-52.730	-41.083	+129
766	mobilevitv2_200.cvnets_in1k	40.140	59.860	55.517	44.483	18.45	256	0.888	bicubic	-54.380	-43.653	-137
767	fastvit_t12.apple_in1k	40.127	59.873	55.243	44.757	7.55	256	0.900	bicubic	-53.363	-43.617	+42
768	darknetaa53.c2ns_in1k	40.120	59.880	55.787	44.213	36.02	288	1.000	bilinear	-54.090	-43.213	-70
769	hrnet_w48.ms_in1k	40.110	59.890	56.633	43.367	77.47	224	0.875	bilinear	-53.900	-42.297	-43
770	vit_base_patch16_224.sam_in1k	40.100	59.900	55.423	44.577	86.57	224	0.900	bicubic	-53.790	-43.317	-28
771	resnet50_gn.a1h_in1k	40.057	59.943	54.853	45.147	25.56	288	0.950	bicubic	-54.563	-44.197	-168
772	legacy_seresnet152.in1k	40.050	59.950	55.837	44.163	66.82	224	0.875	bilinear	-53.360	-42.993	+56
773	resnet50.d_in1k	40.050	59.950	54.713	45.287	25.56	288	1.000	bicubic	-54.420	-44.287	-134
774	hrnet_w30.ms_in1k	40.043	59.957	57.110	42.890	37.71	224	0.875	bilinear	-53.367	-41.740	+55
775	seresnet33ts.ra2_in1k	39.990	60.010	56.403	43.597	19.78	288	1.000	bicubic	-54.270	-42.597	-90
776	regnetx_080.pycls_in1k	39.990	60.010	55.950	44.050	39.57	224	0.875	bicubic	-53.800	-42.960	-18
777	tf_efficientnet_b1.aa_in1k	39.970	60.030	56.127	43.873	7.79	240	0.882	bicubic	-53.750	-42.683	-8
778	resnet101c.gluon_in1k	39.953	60.047	55.287	44.713	44.57	224	0.875	bicubic	-53.747	-43.433	-3
779	fastvit_s12.apple_in1k	39.927	60.073	54.840	45.160	9.47	256	0.900	bicubic	-53.773	-43.920	-3
780	convnext_pico_ols.d1_in1k	39.887	60.113	55.617	44.383	9.06	288	1.000	bicubic	-54.123	-43.413	-52
781	resmlp_12_224.fb_distilled_in1k	39.833	60.167	57.430	42.570	15.35	224	0.875	bicubic	-53.037	-41.190	+115
782	tf_efficientnetv2_b0.in1k	39.800	60.200	56.287	43.713	7.14	224	0.875	bicubic	-53.260	-42.413	+80
783	res2net50_26w_8s.in1k	39.800	60.200	54.900	45.100	48.40	224	0.875	bilinear	-53.610	-43.850	+49
784	darknet53.c2ns_in1k	39.737	60.263	55.287	44.713	41.61	288	1.000	bicubic	-54.623	-43.763	-121
785	res2net101_26w_4s.in1k	39.720	60.280	54.550	45.450	45.21	224	0.875	bilinear	-53.810	-44.020	+17
786	lambda_resnet50ts.a1h_in1k	39.720	60.280	54.373	45.627	21.54	256	0.950	bicubic	-54.850	-44.537	-167
787	regnetx_120.pycls_in1k	39.687	60.313	55.643	44.357	46.11	224	0.875	bicubic	-54.573	-43.527	-103
788	hrnet_w44.ms_in1k	39.687	60.313	55.330	44.670	67.06	224	0.875	bilinear	-53.933	-43.630	0
789	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	+162
790	resmlp_big_24_224.fb_in1k	39.637	60.363	54.830	45.170	129.14	224	0.875	bicubic	-54.633	-44.120	-106
791	vit_small_patch16_384.augreg_in1k	39.623	60.377	54.243	45.757	22.20	384	1.000	bicubic	-54.987	-44.897	-185
792	mixnet_xl.ra_in1k	39.620	60.380	55.870	44.130	11.90	224	0.875	bicubic	-54.610	-43.180	-99
793	xception41.tf_in1k	39.607	60.393	55.013	44.987	26.97	299	0.903	bicubic	-53.873	-43.737	+19
794	densenet161.tv_in1k	39.603	60.397	56.130	43.870	28.68	224	0.875	bicubic	-53.287	-42.660	+98
795	tf_efficientnetv2_b1.in1k	39.573	60.427	55.327	44.673	8.14	240	0.882	bicubic	-54.137	-43.463	-24
796	dla102x.in1k	39.567	60.433	56.320	43.680	26.31	224	0.875	bilinear	-53.973	-42.530	+5
797	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	+133
798	sehalonet33ts.ra2_in1k	39.540	60.460	54.023	45.977	13.69	256	0.940	bicubic	-54.970	-44.737	-163
799	convnext_pico.d1_in1k	39.517	60.483	55.317	44.683	9.05	288	0.950	bicubic	-54.513	-43.693	-77
800	tf_efficientnet_b2.in1k	39.513	60.487	56.107	43.893	9.11	260	0.890	bicubic	-54.197	-42.703	-30
801	rexnet_130.nav_in1k	39.480	60.520	56.637	43.363	7.56	224	0.875	bicubic	-54.200	-42.063	-23
802	hrnet_w32.ms_in1k	39.467	60.533	56.120	43.880	41.23	224	0.875	bilinear	-53.483	-42.730	+79
803	levit_128.fb_dist_in1k	39.447	60.553	55.350	44.650	9.21	224	0.900	bicubic	-53.583	-43.360	+62
804	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
805	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	-229
806	ecaresnet50t.a1_in1k	39.417	60.583	53.680	46.320	25.57	288	1.000	bicubic	-55.473	-45.380	-256
807	regnety_064.pycls_in1k	39.387	60.613	55.770	44.230	30.58	224	0.875	bicubic	-54.743	-43.260	-100
808	regnety_120.pycls_in1k	39.343	60.657	55.277	44.723	51.82	224	0.875	bicubic	-54.667	-43.543	-81
809	gcresnet33ts.ra2_in1k	39.333	60.667	55.880	44.120	19.88	288	1.000	bicubic	-55.017	-43.220	-140
810	mobilevitv2_150.cvnets_in1k	39.323	60.677	55.230	44.770	10.59	256	0.888	bicubic	-54.727	-43.670	-89
811	resnet101.tv_in1k	39.290	60.710	55.787	44.213	44.55	224	0.875	bilinear	-53.590	-42.873	+84
812	tf_efficientnet_el.in1k	39.287	60.713	55.377	44.623	10.59	300	0.904	bicubic	-55.063	-43.583	-145
813	resnet50s.gluon_in1k	39.260	60.740	55.020	44.980	25.68	224	0.875	bicubic	-54.310	-43.820	-17
814	resnet101.a3_in1k	39.253	60.747	53.710	46.290	44.55	224	0.950	bicubic	-54.607	-45.050	-65
815	regnety_160.pycls_in1k	39.250	60.750	55.447	44.553	83.59	224	0.875	bicubic	-54.880	-43.573	-107
816	repghostnet_200.in1k	39.243	60.757	56.423	43.577	9.80	224	0.875	bicubic	-54.307	-42.397	-16
817	inception_v3.tf_in1k	39.223	60.777	54.300	45.700	23.83	299	0.875	bicubic	-53.967	-44.360	+34
818	resnext50_32x4d.a1_in1k	39.190	60.810	53.350	46.650	25.03	288	1.000	bicubic	-55.190	-45.430	-156
819	densenet169.tv_in1k	39.170	60.830	55.860	44.140	14.15	224	0.875	bicubic	-53.130	-42.750	+123
820	tf_efficientnetv2_b2.in1k	39.167	60.833	54.563	45.437	10.10	260	0.890	bicubic	-54.893	-44.367	-101
821	resnext50d_32x4d.bt_in1k	39.100	60.900	54.343	45.657	25.05	288	0.950	bicubic	-55.300	-44.447	-166
822	legacy_seresnet101.in1k	39.043	60.957	55.003	44.997	49.33	224	0.875	bilinear	-54.227	-43.737	+22
823	efficientnet_b1_pruned.in1k	39.003	60.997	55.630	44.370	6.33	240	0.882	bicubic	-53.977	-43.100	+57
824	repvgg_b1g4.rvgg_in1k	38.977	61.023	56.350	43.650	39.97	224	0.875	bilinear	-54.053	-42.250	+40
825	crossvit_9_dagger_240.in1k	38.970	61.030	54.867	45.133	8.78	240	0.875	bicubic	-53.800	-43.793	+81
826	resnet50.a1_in1k	38.967	61.033	53.243	46.757	25.56	288	1.000	bicubic	-55.253	-45.507	-131
827	inception_v3.tv_in1k	38.943	61.057	53.877	46.123	23.83	299	0.875	bicubic	-53.957	-44.853	+64
828	regnety_080.pycls_in1k	38.910	61.090	55.190	44.810	39.18	224	0.875	bicubic	-54.970	-43.810	-84
829	res2net101d.in1k	38.903	61.097	53.057	46.943	45.23	224	0.875	bilinear	-55.617	-45.853	-201
830	legacy_seresnext50_32x4d.in1k	38.890	61.110	54.577	45.423	27.56	224	0.875	bilinear	-54.560	-44.203	-13
831	dla102.in1k	38.840	61.160	55.317	44.683	33.27	224	0.875	bilinear	-54.430	-43.473	+12
832	visformer_tiny.in1k	38.830	61.170	55.023	44.977	10.32	224	0.900	bicubic	-54.150	-43.647	+44
833	regnety_040.pycls_in1k	38.823	61.177	55.580	44.420	20.65	224	0.875	bicubic	-54.807	-43.330	-49
834	efficientvit_m5.r224_in1k	38.820	61.180	54.980	45.020	12.47	224	0.875	bicubic	-53.330	-43.540	+116
835	regnetx_040.pycls_in1k	38.710	61.290	55.357	44.643	22.12	224	0.875	bicubic	-54.980	-43.573	-58
836	res2net50_14w_8s.in1k	38.710	61.290	54.073	45.927	25.06	224	0.875	bilinear	-54.320	-44.747	+31
837	dpn68.mx_in1k	38.687	61.313	54.687	45.313	12.61	224	0.875	bicubic	-53.613	-43.903	+104
838	regnetx_032.pycls_in1k	38.680	61.320	55.160	44.840	15.30	224	0.875	bicubic	-54.560	-43.560	+8
839	res2net50_26w_6s.in1k	38.680	61.320	53.773	46.227	37.05	224	0.875	bilinear	-54.910	-44.857	-49
840	resnet33ts.ra2_in1k	38.667	61.333	55.173	44.827	19.68	288	1.000	bicubic	-55.263	-43.707	-102
841	wide_resnet50_2.tv_in1k	38.650	61.350	54.467	45.533	68.88	224	0.875	bilinear	-54.810	-44.353	-26
842	selecsls60.in1k	38.620	61.380	55.617	44.383	30.67	224	0.875	bicubic	-54.390	-42.873	+28
843	regnetx_016.tv2_in1k	38.620	61.380	54.733	45.267	9.19	224	0.965	bicubic	-55.400	-44.197	-117
844	dla60x.in1k	38.610	61.390	55.403	44.597	17.35	224	0.875	bilinear	-54.580	-43.317	+5
845	tf_efficientnet_b0.aa_in1k	38.597	61.403	55.970	44.030	5.29	224	0.875	bicubic	-53.803	-42.500	+90
846	densenetblur121d.ra_in1k	38.593	61.407	55.637	44.363	8.00	288	0.950	bicubic	-54.437	-43.063	+22
847	dla60_res2net.in1k	38.593	61.407	54.563	45.437	20.85	224	0.875	bilinear	-54.777	-44.277	-13
848	repvgg_a2.rvgg_in1k	38.553	61.447	55.767	44.233	28.21	224	0.875	bilinear	-54.127	-42.513	+64
849	selecsls60b.in1k	38.550	61.450	55.310	44.690	32.77	224	0.875	bicubic	-54.950	-43.470	-43
850	seresnet50.a1_in1k	38.537	61.463	53.413	46.587	28.09	288	1.000	bicubic	-55.623	-45.437	-145
851	dpn68b.mx_in1k	38.530	61.470	55.183	44.817	12.61	224	0.875	bicubic	-54.250	-43.337	+51
852	resnet32ts.ra2_in1k	38.510	61.490	55.507	44.493	17.96	288	1.000	bicubic	-55.080	-43.233	-61
853	hardcorenas_f.miil_green_in1k	38.507	61.493	55.653	44.347	8.20	224	0.875	bilinear	-54.473	-42.977	+26
854	hrnet_w18_small_v2.gluon_in1k	38.460	61.540	56.180	43.820	15.60	224	0.875	bicubic	-54.540	-42.580	+20
855	resmlp_12_224.fb_in1k	38.440	61.560	56.327	43.673	15.35	224	0.875	bicubic	-53.680	-42.243	+98
856	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
857	dla60_res2next.in1k	38.423	61.577	54.930	45.070	17.03	224	0.875	bilinear	-55.157	-44.140	-63
858	regnetx_064.pycls_in1k	38.420	61.580	54.993	45.007	26.21	224	0.875	bicubic	-55.220	-44.047	-76
859	ghostnetv2_160.in1k	38.410	61.590	55.530	44.470	12.39	224	0.875	bicubic	-54.680	-43.210	+2
860	resnet50.gluon_in1k	38.410	61.590	54.830	45.170	25.56	224	0.875	bicubic	-54.150	-43.720	+65
861	resnet50d.a1_in1k	38.403	61.597	52.860	47.140	25.58	288	1.000	bicubic	-55.997	-46.200	-204
862	regnety_008_tv.tv2_in1k	38.337	61.663	54.270	45.730	6.43	224	0.965	bicubic	-54.813	-44.410	-7
863	hrnet_w18.ms_in1k	38.263	61.737	55.660	44.340	21.30	224	0.875	bilinear	-54.507	-42.960	+41
864	tinynet_a.in1k	38.230	61.770	55.193	44.807	6.19	192	0.875	bicubic	-54.580	-43.367	+37
865	ecaresnet50t.a3_in1k	38.227	61.773	53.650	46.350	25.57	224	0.950	bicubic	-55.633	-45.200	-117
866	resnet34.a1_in1k	38.220	61.780	52.373	47.627	21.80	288	1.000	bicubic	-54.780	-46.257	+9
867	densenet121.ra_in1k	38.180	61.820	55.137	44.863	7.98	288	0.950	bicubic	-54.520	-43.503	+44
868	mixnet_l.ft_in1k	38.173	61.827	54.797	45.203	7.33	224	0.875	bicubic	-55.067	-43.953	-21
869	regnety_032.pycls_in1k	38.167	61.833	54.363	45.637	19.44	224	0.875	bicubic	-55.293	-44.587	-55
870	poolformer_s12.sail_in1k	38.157	61.843	56.213	43.787	11.92	224	0.900	bicubic	-54.343	-42.177	+58
871	hardcorenas_e.miil_green_in1k	38.150	61.850	55.177	44.823	8.07	224	0.875	bilinear	-54.790	-43.333	+12
872	efficientnet_b1.ft_in1k	38.080	61.920	54.000	46.000	7.79	256	1.000	bicubic	-54.940	-44.710	-2
873	ecaresnet50t.a2_in1k	38.053	61.947	52.967	47.033	25.57	288	1.000	bicubic	-56.517	-46.073	-257
874	gmixer_24_224.ra3_in1k	38.050	61.950	52.077	47.923	24.72	224	0.875	bicubic	-54.630	-46.453	+39
875	vit_base_patch16_224.augreg_in1k	38.037	61.963	50.710	49.290	86.57	224	0.900	bicubic	-55.313	-48.050	-37
876	coat_lite_tiny.in1k	38.033	61.967	53.463	46.537	5.72	224	0.900	bicubic	-54.827	-45.177	+22
877	resnetrs50.tf_in1k	37.977	62.023	53.303	46.697	35.69	224	0.910	bicubic	-56.053	-45.437	-154
878	resnext50_32x4d.a2_in1k	37.933	62.067	52.353	47.647	25.03	288	1.000	bicubic	-56.287	-46.687	-182
879	mobilevitv2_125.cvnets_in1k	37.893	62.107	54.067	45.933	7.48	256	0.888	bicubic	-55.587	-44.773	-68
880	resnet50c.gluon_in1k	37.873	62.127	54.117	45.883	25.58	224	0.875	bicubic	-55.037	-44.573	+7
881	hardcorenas_c.miil_green_in1k	37.860	62.140	55.727	44.273	5.52	224	0.875	bilinear	-54.490	-42.613	+58
882	efficientformerv2_s0.snap_dist_in1k	37.823	62.177	54.053	45.947	3.60	224	0.950	bicubic	-54.037	-44.317	+82
883	res2net50_26w_4s.in1k	37.810	62.190	53.080	46.920	25.70	224	0.875	bilinear	-55.370	-45.580	-31
884	efficientnet_es.ra_in1k	37.787	62.213	54.960	45.040	5.44	224	0.875	bicubic	-55.123	-43.720	+4
885	resnest14d.gluon_in1k	37.777	62.223	56.480	43.520	10.61	224	0.875	bilinear	-53.373	-41.850	+109
886	convnext_femto.d1_in1k	37.733	62.267	54.100	45.900	5.22	288	0.950	bicubic	-55.707	-44.720	-65
887	resnext50_32x4d.tv_in1k	37.727	62.273	54.103	45.897	25.03	224	0.875	bilinear	-55.173	-44.217	+3
888	pit_ti_distilled_224.in1k	37.710	62.290	55.647	44.353	5.10	224	0.900	bicubic	-53.020	-42.603	+121
889	ecaresnet26t.ra2_in1k	37.667	62.333	54.357	45.643	16.01	320	0.950	bicubic	-56.273	-44.673	-153
890	seresnet50.a2_in1k	37.667	62.333	52.373	47.627	28.09	288	1.000	bicubic	-56.783	-46.517	-247
891	vit_base_patch32_224.augreg_in1k	37.563	62.437	51.810	48.190	88.22	224	0.900	bicubic	-53.027	-45.910	+122
892	fastvit_t8.apple_dist_in1k	37.557	62.443	53.830	46.170	4.03	256	0.900	bicubic	-55.033	-44.710	+30
893	hardcorenas_d.miil_green_in1k	37.543	62.457	54.720	45.280	7.50	224	0.875	bilinear	-55.067	-43.790	+26
894	res2next50.in1k	37.483	62.517	52.853	47.147	24.67	224	0.875	bilinear	-55.667	-45.787	-38
895	convnextv2_femto.fcmae_ft_in1k	37.477	62.523	53.507	46.493	5.23	288	0.950	bicubic	-56.273	-45.463	-131
896	resnet50.bt_in1k	37.420	62.580	53.860	46.140	25.56	288	0.950	bicubic	-56.540	-45.070	-162
897	hrnet_w18.ms_aug_in1k	37.337	62.663	54.123	45.877	21.30	224	0.950	bilinear	-56.143	-44.857	-87
898	lambda_resnet26t.c1_in1k	37.300	62.700	53.563	46.437	10.96	256	0.940	bicubic	-56.130	-45.167	-73
899	convnext_femto_ols.d1_in1k	37.253	62.747	53.047	46.953	5.23	288	0.950	bicubic	-56.137	-45.863	-67
900	mobilenetv3_large_100.miil_in21k_ft_in1k	37.243	62.757	53.543	46.457	5.48	224	0.875	bilinear	-55.017	-44.697	+47
901	hardcorenas_b.miil_green_in1k	37.233	62.767	55.033	44.967	5.18	224	0.875	bilinear	-54.687	-43.377	+60
902	resnet50d.a2_in1k	37.227	62.773	51.743	48.257	25.58	288	1.000	bicubic	-57.233	-47.287	-261
903	res2net50d.in1k	37.223	62.777	51.387	48.613	25.72	224	0.875	bilinear	-57.057	-47.703	-223
904	fastvit_t8.apple_in1k	37.217	62.783	53.133	46.867	4.03	256	0.900	bicubic	-54.713	-45.247	+56
905	eca_halonext26ts.c1_in1k	37.170	62.830	53.103	46.897	10.76	256	0.940	bicubic	-56.380	-45.497	-106
906	cs3darknet_focus_m.c2ns_in1k	37.140	62.860	53.910	46.090	9.30	288	0.950	bicubic	-55.960	-44.840	-46
907	res2net50_48w_2s.in1k	37.120	62.880	53.327	46.673	25.29	224	0.875	bilinear	-55.660	-45.143	-4
908	lambda_resnet26rpt_256.c1_in1k	37.103	62.897	53.860	46.140	10.99	256	0.940	bicubic	-56.327	-45.020	-84
909	vit_small_patch16_224.augreg_in1k	37.080	62.920	51.553	48.447	22.05	224	0.900	bicubic	-56.370	-47.227	-90
910	rexnet_100.nav_in1k	37.057	62.943	54.050	45.950	4.80	224	0.875	bicubic	-55.773	-44.550	-12
911	bat_resnext26ts.ch_in1k	37.057	62.943	53.743	46.257	10.73	256	0.900	bicubic	-56.063	-44.987	-51
912	resnet50.a2_in1k	37.050	62.950	51.347	48.653	25.56	288	1.000	bicubic	-57.070	-47.623	-201
913	dla60.in1k	37.040	62.960	54.220	45.780	22.04	224	0.875	bilinear	-55.610	-44.410	+3
914	tf_efficientnet_b1.in1k	37.017	62.983	53.417	46.583	7.79	240	0.882	bicubic	-55.913	-45.243	-29
915	regnety_016.pycls_in1k	37.013	62.987	54.083	45.917	11.20	224	0.875	bicubic	-55.997	-44.587	-43
916	botnet26t_256.c1_in1k	36.963	63.037	53.053	46.947	12.49	256	0.950	bicubic	-56.477	-45.857	-93
917	tf_mixnet_l.in1k	36.960	63.040	52.597	47.403	7.33	224	0.875	bicubic	-56.070	-45.933	-48
918	resnet34.a2_in1k	36.953	63.047	51.433	48.567	21.80	288	1.000	bicubic	-55.617	-47.137	+5
919	mobileone_s1.apple_in1k	36.930	63.070	54.603	45.397	4.83	224	0.900	bilinear	-54.860	-43.857	+46
920	ghostnetv2_130.in1k	36.887	63.113	54.137	45.863	8.96	224	0.875	bicubic	-55.353	-44.243	+28
921	legacy_seresnet50.in1k	36.863	63.137	53.473	46.527	28.09	224	0.875	bilinear	-55.797	-45.207	-6
922	halonet26t.a1h_in1k	36.843	63.157	52.270	47.730	12.48	256	0.950	bicubic	-56.747	-46.470	-130
923	densenet121.tv_in1k	36.807	63.193	54.030	45.970	7.98	224	0.875	bicubic	-54.593	-44.220	+60
924	tf_efficientnet_lite2.in1k	36.800	63.200	53.313	46.687	6.09	260	0.890	bicubic	-55.790	-45.117	-3
925	mobilenetv2_120d.ra_in1k	36.790	63.210	54.047	45.953	5.83	224	0.875	bicubic	-55.820	-44.383	-7
926	tf_efficientnet_lite1.in1k	36.730	63.270	53.583	46.417	5.42	240	0.882	bicubic	-55.560	-44.917	+17
927	regnetx_016.pycls_in1k	36.693	63.307	53.307	46.693	9.19	224	0.875	bicubic	-55.837	-45.243	0
928	eca_botnext26ts_256.c1_in1k	36.690	63.310	52.493	47.507	10.59	256	0.950	bicubic	-56.660	-46.197	-92
929	hardcorenas_a.miil_green_in1k	36.687	63.313	54.923	45.077	5.26	224	0.875	bilinear	-54.933	-43.357	+45
930	levit_conv_128s.fb_dist_in1k	36.623	63.377	53.137	46.863	7.78	224	0.900	bicubic	-54.877	-45.263	+48
931	levit_128s.fb_dist_in1k	36.623	63.377	53.130	46.870	7.78	224	0.900	bicubic	-54.887	-45.270	+48
932	repghostnet_150.in1k	36.617	63.383	54.110	45.890	6.58	224	0.875	bicubic	-55.763	-44.420	+4
933	efficientnet_b0.ra_in1k	36.593	63.407	53.477	46.523	5.29	224	0.875	bicubic	-55.887	-45.203	-3
934	efficientvit_m4.r224_in1k	36.587	63.413	53.267	46.733	8.80	224	0.875	bicubic	-54.153	-44.773	+74
935	resnext50_32x4d.a3_in1k	36.553	63.447	51.143	48.857	25.03	224	0.950	bicubic	-56.997	-47.537	-137
936	vit_base_patch32_224.sam_in1k	36.543	63.457	53.043	46.957	88.22	224	0.900	bicubic	-53.327	-44.557	+94
937	xcit_nano_12_p8_224.fb_dist_in1k	36.510	63.490	52.873	47.127	3.05	224	1.000	bicubic	-55.920	-45.667	-3
938	cs3darknet_m.c2ns_in1k	36.480	63.520	53.230	46.770	9.31	288	0.950	bicubic	-56.800	-45.490	-96
939	repvgg_a1.rvgg_in1k	36.450	63.550	53.770	46.230	14.09	224	0.875	bilinear	-54.670	-44.390	+57
940	tf_efficientnet_em.in1k	36.393	63.607	52.853	47.147	6.90	240	0.882	bicubic	-56.797	-45.637	-90
941	mobilevitv2_100.cvnets_in1k	36.387	63.613	53.083	46.917	4.90	256	0.888	bicubic	-56.753	-45.677	-84
942	resnet50d.a3_in1k	36.330	63.670	51.320	48.680	25.58	224	0.950	bicubic	-57.080	-47.370	-112
943	skresnet18.ra_in1k	36.313	63.687	54.187	45.813	11.96	224	0.875	bicubic	-53.867	-43.593	+83
944	repvgg_b0.rvgg_in1k	36.290	63.710	54.057	45.943	15.82	224	0.875	bilinear	-55.390	-44.393	+25
945	resnet34.bt_in1k	36.257	63.743	52.757	47.243	21.80	288	0.950	bicubic	-56.023	-45.843	-1
946	resnet50.tv_in1k	36.180	63.820	52.793	47.207	25.56	224	0.875	bilinear	-55.940	-45.617	+8
947	xcit_nano_12_p16_384.fb_dist_in1k	36.150	63.850	53.260	46.740	3.05	384	1.000	bicubic	-55.980	-45.250	+4
948	legacy_seresnet34.in1k	36.150	63.850	52.567	47.433	21.96	224	0.875	bilinear	-55.340	-45.633	+33
949	coat_tiny.in1k	36.117	63.883	51.047	48.953	5.50	224	0.900	bicubic	-57.393	-47.633	-144
950	efficientvit_m3.r224_in1k	36.090	63.910	52.453	47.547	6.90	224	0.875	bicubic	-53.910	-45.377	+77
951	resnet34.tv_in1k	36.070	63.930	53.537	46.463	21.80	224	0.875	bilinear	-54.230	-44.433	+70
952	deit_tiny_distilled_patch16_224.fb_in1k	36.023	63.977	54.243	45.757	5.91	224	0.900	bicubic	-55.057	-44.027	+50
953	mobilenetv2_140.ra_in1k	35.997	64.003	53.963	46.037	6.11	224	0.875	bicubic	-56.053	-44.287	+4
954	convnextv2_atto.fcmae_ft_in1k	35.990	64.010	51.187	48.813	3.71	288	0.950	bicubic	-56.930	-47.373	-68
955	resnet50.a3_in1k	35.957	64.043	50.483	49.517	25.56	224	0.950	bicubic	-56.983	-48.187	-71
956	tf_efficientnet_lite0.in1k	35.937	64.063	53.477	46.523	4.65	224	0.875	bicubic	-55.343	-44.363	+29
957	selecsls42b.in1k	35.813	64.187	52.473	47.527	32.46	224	0.875	bicubic	-56.667	-46.157	-25
958	xcit_nano_12_p8_384.fb_dist_in1k	35.797	64.203	52.300	47.700	3.05	384	1.000	bicubic	-57.503	-46.560	-118
959	seresnext26ts.ch_in1k	35.780	64.220	53.460	46.540	10.39	288	1.000	bicubic	-57.160	-45.120	-78
960	resnet34.gluon_in1k	35.780	64.220	52.183	47.817	21.80	224	0.875	bicubic	-55.310	-45.997	+42
961	convnext_atto.d2_in1k	35.777	64.223	52.323	47.677	3.70	288	0.950	bicubic	-56.993	-46.167	-56
962	seresnet50.a3_in1k	35.757	64.243	51.163	48.837	28.09	224	0.950	bicubic	-56.603	-47.167	-24
963	resnet26t.ra2_in1k	35.727	64.273	53.587	46.413	16.01	320	1.000	bicubic	-57.183	-45.113	-74
964	dla34.in1k	35.657	64.343	52.803	47.197	15.74	224	0.875	bilinear	-55.563	-45.367	+24
965	efficientnet_lite0.ra_in1k	35.640	64.360	53.663	46.337	4.65	224	0.875	bicubic	-55.610	-44.577	+22
966	mixnet_m.ft_in1k	35.633	64.367	52.423	47.577	5.01	224	0.875	bicubic	-56.637	-45.937	-20
967	resnet18.fb_ssl_yfcc100m_ft_in1k	35.613	64.387	53.753	46.247	11.69	224	0.875	bilinear	-55.087	-44.267	+43
968	mobilenetv3_rw.rmsp_in1k	35.543	64.457	53.707	46.293	5.48	224	0.875	bicubic	-56.007	-44.573	+9
969	regnetx_008.tv2_in1k	35.527	64.473	51.480	48.520	7.26	224	0.965	bicubic	-56.963	-46.950	-40
970	convnext_atto_ols.a2_in1k	35.403	64.597	51.390	48.610	3.70	288	0.950	bicubic	-57.577	-47.150	-93
971	efficientnet_es_pruned.in1k	35.393	64.607	52.840	47.160	5.44	224	0.875	bicubic	-56.307	-45.570	-3
972	mobilenetv2_110d.ra_in1k	35.313	64.687	52.870	47.130	4.52	224	0.875	bicubic	-56.017	-45.320	+12
973	repghostnet_130.in1k	35.263	64.737	52.567	47.433	5.48	224	0.875	bicubic	-56.677	-45.823	-14
974	tf_mixnet_m.in1k	35.193	64.807	50.987	49.013	5.01	224	0.875	bicubic	-57.017	-47.433	-25
975	hrnet_w18_small_v2.ms_in1k	35.163	64.837	52.420	47.580	15.60	224	0.875	bilinear	-55.997	-45.920	+17
976	xcit_nano_12_p16_224.fb_dist_in1k	35.120	64.880	52.543	47.457	3.05	224	1.000	bicubic	-55.070	-45.207	+49
977	resnet34.a3_in1k	35.033	64.967	50.503	49.497	21.80	224	0.950	bicubic	-55.207	-47.377	+45
978	convit_tiny.fb_in1k	35.027	64.973	51.777	48.223	5.71	224	0.875	bicubic	-55.523	-46.413	+36
979	gcresnext26ts.ch_in1k	35.017	64.983	51.493	48.507	10.48	288	1.000	bicubic	-57.723	-47.117	-70
980	eca_resnext26ts.ch_in1k	34.927	65.073	52.370	47.630	10.30	288	1.000	bicubic	-57.823	-46.340	-72
981	regnety_004.tv2_in1k	34.923	65.077	51.263	48.737	4.34	224	0.965	bicubic	-56.697	-46.907	-8
982	tinynet_b.in1k	34.867	65.133	51.997	48.003	3.73	188	0.875	bicubic	-56.243	-46.063	+15
983	resnext26ts.ra2_in1k	34.837	65.163	52.710	47.290	10.30	288	1.000	bicubic	-57.543	-45.680	-46
984	regnety_008.pycls_in1k	34.780	65.220	51.743	48.257	6.26	224	0.875	bicubic	-57.120	-46.667	-21
985	pit_ti_224.in1k	34.670	65.330	52.160	47.840	4.85	224	0.900	bicubic	-55.750	-45.850	+33
986	tf_efficientnet_b0.in1k	34.623	65.377	51.143	48.857	5.29	224	0.875	bicubic	-57.657	-47.407	-41
987	crossvit_9_240.in1k	34.613	65.387	51.767	48.233	8.55	240	0.875	bicubic	-56.437	-46.553	+16
988	mobilenetv3_large_100.ra_in1k	34.600	65.400	52.843	47.157	5.48	224	0.875	bicubic	-56.870	-45.477	-7
989	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	+6
990	pvt_v2_b0.in1k	34.400	65.600	53.103	46.897	3.67	224	0.900	bicubic	-54.570	-44.587	+55
991	tf_efficientnet_es.in1k	34.260	65.740	51.353	48.647	5.44	224	0.875	bicubic	-57.850	-47.077	-35
992	fbnetc_100.rmsp_in1k	34.243	65.757	51.190	48.810	5.57	224	0.875	bilinear	-57.037	-46.890	-6
993	resnet18d.ra2_in1k	34.213	65.787	51.763	48.237	11.71	288	0.950	bicubic	-56.587	-46.397	+12
994	regnety_006.pycls_in1k	34.153	65.847	51.253	48.747	6.06	224	0.875	bicubic	-57.407	-47.177	-18
995	repvgg_a0.rvgg_in1k	34.070	65.930	51.967	48.033	9.11	224	0.875	bilinear	-55.610	-45.793	+37
996	ghostnetv2_100.in1k	34.037	65.963	51.973	48.027	6.16	224	0.875	bicubic	-57.593	-46.317	-24
997	resnet18.a1_in1k	33.973	66.027	49.410	50.590	11.69	288	1.000	bicubic	-56.227	-48.350	+27
998	tf_mobilenetv3_large_100.in1k	33.963	66.037	51.470	48.530	5.48	224	0.875	bilinear	-57.457	-46.790	-16
999	regnetx_008.pycls_in1k	33.803	66.197	50.543	49.457	7.26	224	0.875	bicubic	-57.367	-47.827	-8
1000	repghostnet_111.in1k	33.790	66.210	51.543	48.457	4.54	224	0.875	bicubic	-57.310	-46.687	0
1001	mnasnet_100.rmsp_in1k	33.777	66.223	51.150	48.850	4.38	224	0.875	bicubic	-57.433	-47.070	-11
1002	semnasnet_075.rmsp_in1k	33.773	66.227	52.403	47.597	2.91	224	0.875	bicubic	-56.447	-45.547	+21
1003	lcnet_100.ra2_in1k	33.767	66.233	52.090	47.910	2.95	224	0.875	bicubic	-55.143	-45.290	+45
1004	ese_vovnet19b_dw.ra_in1k	33.753	66.247	50.920	49.080	6.54	288	0.950	bicubic	-59.007	-47.730	-97
1005	regnetx_004_tv.tv2_in1k	33.717	66.283	49.803	50.197	5.50	224	0.965	bicubic	-57.443	-48.297	-12
1006	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	33.633	66.367	50.687	49.313	6.36	384	1.000	bicubic	-58.097	-47.743	-40
1007	mobilevit_s.cvnets_in1k	33.633	66.367	49.287	50.713	5.58	256	0.900	bicubic	-59.517	-49.493	-152
1008	xcit_nano_12_p8_224.fb_in1k	33.580	66.420	50.233	49.767	3.05	224	1.000	bicubic	-57.520	-47.817	-10
1009	vit_tiny_patch16_384.augreg_in21k_ft_in1k	33.550	66.450	51.077	48.923	5.79	384	1.000	bicubic	-59.870	-47.733	-183
1010	semnasnet_100.rmsp_in1k	33.507	66.493	50.803	49.197	3.89	224	0.875	bicubic	-58.163	-47.487	-39
1011	spnasnet_100.rmsp_in1k	33.490	66.510	51.287	48.713	4.42	224	0.875	bilinear	-57.100	-46.663	+1
1012	mixnet_s.ft_in1k	33.467	66.533	51.007	48.993	4.13	224	0.875	bicubic	-58.313	-47.293	-46
1013	crossvit_tiny_240.in1k	33.347	66.653	49.900	50.100	7.01	240	0.875	bicubic	-57.183	-48.050	+3
1014	mobilevitv2_075.cvnets_in1k	33.340	66.660	50.110	49.890	2.87	256	0.888	bicubic	-58.630	-48.190	-56
1015	efficientvit_m2.r224_in1k	33.293	66.707	49.810	50.190	4.19	224	0.875	bicubic	-55.617	-47.580	+32
1016	vgg19_bn.tv_in1k	33.240	66.760	50.777	49.223	143.68	224	0.875	bilinear	-57.750	-47.323	-12
1017	regnetx_006.pycls_in1k	33.147	66.853	50.243	49.757	6.20	224	0.875	bicubic	-57.643	-47.847	-11
1018	repghostnet_100.in1k	33.140	66.860	50.770	49.230	4.07	224	0.875	bicubic	-57.550	-47.350	-7
1019	edgenext_x_small.in1k	33.110	66.890	49.003	50.997	2.34	288	1.000	bicubic	-58.470	-49.187	-44
1020	seresnext26t_32x4d.bt_in1k	33.083	66.917	50.270	49.730	16.81	288	0.950	bicubic	-60.267	-48.390	-183
1021	resnet18.tv_in1k	33.057	66.943	51.173	48.827	11.69	224	0.875	bilinear	-55.093	-45.947	+34
1022	seresnext26d_32x4d.bt_in1k	32.973	67.027	49.823	50.177	16.81	288	0.950	bicubic	-60.087	-48.887	-160
1023	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	+23
1024	mobileone_s0.apple_in1k	32.853	67.147	51.063	48.937	5.29	224	0.875	bilinear	-55.957	-46.157	+25
1025	hrnet_w18_small.gluon_in1k	32.827	67.173	50.380	49.620	13.19	224	0.875	bicubic	-57.483	-47.370	-5
1026	legacy_seresnext26_32x4d.in1k	32.773	67.227	49.217	50.783	16.79	224	0.875	bicubic	-59.827	-49.193	-106
1027	hrnet_w18_small.ms_in1k	32.653	67.347	50.587	49.413	13.19	224	0.875	bilinear	-57.217	-47.303	+1
1028	deit_tiny_patch16_224.fb_in1k	32.650	67.350	50.263	49.737	5.72	224	0.900	bicubic	-56.960	-47.697	+6
1029	legacy_seresnet18.in1k	32.600	67.400	50.317	49.683	11.78	224	0.875	bicubic	-56.660	-47.373	+11
1030	ghostnet_100.in1k	32.550	67.450	50.410	49.590	5.18	224	0.875	bicubic	-57.910	-47.500	-13
1031	mobilenetv2_100.ra_in1k	32.513	67.487	50.790	49.210	3.50	224	0.875	bicubic	-57.357	-47.040	-2
1032	regnetx_004.pycls_in1k	32.493	67.507	49.323	50.677	5.16	224	0.875	bicubic	-56.977	-48.437	+3
1033	resnet26d.bt_in1k	32.420	67.580	49.997	50.003	16.01	288	0.950	bicubic	-60.130	-48.653	-107
1034	resnet18.gluon_in1k	32.417	67.583	49.737	50.263	11.69	224	0.875	bicubic	-56.243	-47.363	+16
1035	regnety_004.pycls_in1k	32.313	67.687	49.463	50.537	4.34	224	0.875	bicubic	-58.457	-48.607	-28
1036	resnet18.a2_in1k	32.223	67.777	47.890	52.110	11.69	288	1.000	bicubic	-57.247	-49.520	0
1037	tf_mixnet_s.in1k	32.200	67.800	48.523	51.477	4.13	224	0.875	bicubic	-59.480	-49.717	-67
1038	resnet26.bt_in1k	32.173	67.827	49.443	50.557	16.00	288	0.950	bicubic	-59.937	-49.107	-83
1039	vit_tiny_patch16_224.augreg_in21k_ft_in1k	32.020	67.980	49.017	50.983	5.72	224	0.900	bicubic	-59.900	-49.323	-77
1040	tf_mobilenetv3_large_075.in1k	31.847	68.153	49.130	50.870	3.99	224	0.875	bilinear	-58.483	-48.740	-21
1041	tf_mobilenetv3_large_minimal_100.in1k	31.600	68.400	49.353	50.647	3.92	224	0.875	bilinear	-57.560	-47.957	+2
1042	efficientvit_m1.r224_in1k	31.297	68.703	48.197	51.803	2.98	224	0.875	bicubic	-55.923	-48.823	+18
1043	repghostnet_080.in1k	30.873	69.127	48.797	51.203	3.28	224	0.875	bicubic	-58.597	-48.833	-6
1044	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	-5
1045	tinynet_c.in1k	30.517	69.483	48.477	51.523	2.46	184	0.875	bicubic	-57.883	-48.783	+6
1046	lcnet_075.ra2_in1k	30.373	69.627	48.770	51.230	2.36	224	0.875	bicubic	-56.587	-47.780	+19
1047	vgg16_bn.tv_in1k	30.357	69.643	47.280	52.720	138.37	224	0.875	bilinear	-60.183	-50.710	-32
1048	resnet18.a3_in1k	30.093	69.907	46.333	53.667	11.69	224	0.950	bicubic	-56.977	-50.327	+15
1049	efficientvit_b0.r224_in1k	30.060	69.940	46.603	53.397	3.41	224	0.950	bicubic	-58.240	-50.277	+4
1050	edgenext_xx_small.in1k	29.750	70.250	46.487	53.513	1.33	288	1.000	bicubic	-60.050	-51.013	-19
1051	regnety_002.pycls_in1k	29.707	70.293	46.827	53.173	3.16	224	0.875	bicubic	-58.463	-50.613	+3
1052	mobilevit_xs.cvnets_in1k	29.587	70.413	46.037	53.963	2.32	256	0.900	bicubic	-61.623	-52.013	-63
1053	mobilenetv3_small_100.lamb_in1k	29.050	70.950	47.200	52.800	2.54	224	0.875	bicubic	-57.130	-49.250	+14
1054	mnasnet_small.lamb_in1k	28.953	71.047	47.287	52.713	2.03	224	0.875	bicubic	-56.527	-48.713	+15
1055	vgg13_bn.tv_in1k	28.863	71.137	46.730	53.270	133.05	224	0.875	bilinear	-60.337	-50.800	-13
1056	resnet10t.c3_in1k	28.857	71.143	46.903	53.097	5.44	224	0.950	bicubic	-57.823	-49.827	+10
1057	regnetx_002.pycls_in1k	28.837	71.163	45.453	54.547	2.68	224	0.875	bicubic	-58.533	-51.547	+1
1058	efficientvit_m0.r224_in1k	28.797	71.203	45.777	54.223	2.35	224	0.875	bicubic	-54.423	-49.923	+19
1059	mobilenetv2_050.lamb_in1k	28.657	71.343	46.597	53.403	1.97	224	0.875	bicubic	-56.333	-49.023	+14
1060	vgg19.tv_in1k	28.580	71.420	45.167	54.833	143.67	224	0.875	bilinear	-61.100	-52.383	-27
1061	mobilevitv2_050.cvnets_in1k	28.560	71.440	45.203	54.797	1.37	256	0.888	bicubic	-60.470	-52.397	-17
1062	dla60x_c.in1k	28.443	71.557	46.220	53.780	1.32	224	0.875	bilinear	-58.667	-50.920	0
1063	vgg11_bn.tv_in1k	28.430	71.570	46.460	53.540	132.87	224	0.875	bilinear	-59.970	-50.790	-11
1064	repghostnet_058.in1k	28.400	71.600	46.587	53.413	2.55	224	0.875	bicubic	-58.750	-50.193	-3
1065	tinynet_d.in1k	27.960	72.040	45.877	54.123	2.34	152	0.875	bicubic	-57.480	-50.143	+7
1066	vgg16.tv_in1k	27.877	72.123	44.680	55.320	138.36	224	0.875	bilinear	-61.493	-52.840	-28
1067	resnet14t.c3_in1k	27.553	72.447	44.683	55.317	10.08	224	0.950	bicubic	-61.697	-52.757	-26
1068	tf_mobilenetv3_small_100.in1k	27.293	72.707	44.410	55.590	2.54	224	0.875	bilinear	-58.657	-51.990	0
1069	repghostnet_050.in1k	27.060	72.940	44.977	55.023	2.31	224	0.875	bicubic	-58.390	-51.173	+1
1070	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	-6
1071	vgg11.tv_in1k	26.537	73.463	43.470	56.530	132.86	224	0.875	bilinear	-60.813	-53.630	-12
1072	mobilenetv3_small_075.lamb_in1k	26.533	73.467	43.877	56.123	2.04	224	0.875	bicubic	-57.587	-51.643	+4
1073	mobilevit_xxs.cvnets_in1k	26.353	73.647	43.060	56.940	1.27	256	0.900	bicubic	-61.587	-54.130	-17
1074	vgg13.tv_in1k	26.273	73.727	43.353	56.647	133.05	224	0.875	bilinear	-61.297	-53.757	-17
1075	dla46x_c.in1k	26.207	73.793	43.777	56.223	1.07	224	0.875	bilinear	-59.233	-52.643	-4
1076	lcnet_050.ra2_in1k	26.197	73.803	44.577	55.423	1.88	224	0.875	bicubic	-56.843	-50.443	+2
1077	tf_mobilenetv3_small_075.in1k	26.197	73.803	43.617	56.383	2.04	224	0.875	bilinear	-58.303	-52.263	-2
1078	dla46_c.in1k	25.507	74.493	43.777	56.223	1.30	224	0.875	bilinear	-59.193	-52.433	-4
1079	tf_mobilenetv3_small_minimal_100.in1k	25.123	74.877	42.950	57.050	2.04	224	0.875	bilinear	-57.537	-52.080	0
1080	tinynet_e.in1k	23.353	76.647	41.067	58.933	2.04	106	0.875	bicubic	-56.457	-52.903	0
1081	mobilenetv3_small_050.lamb_in1k	21.737	78.263	38.757	61.243	1.59	224	0.875	bicubic	-56.343	-54.253	0