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

1	model	img_size	top1	top1_err	top5	top5_err	param_count	crop_pct	interpolation
2	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	448	90.054	9.946	99.056	0.944	305.08	1.000	bicubic
3	eva02_large_patch14_448.mim_in22k_ft_in22k_in1k	448	89.966	10.034	99.016	0.984	305.08	1.000	bicubic
4	eva_giant_patch14_560.m30m_ft_in22k_in1k	560	89.796	10.204	98.990	1.010	1,014.45	1.000	bicubic
5	eva02_large_patch14_448.mim_in22k_ft_in1k	448	89.632	10.368	98.954	1.046	305.08	1.000	bicubic
6	eva_giant_patch14_336.m30m_ft_in22k_in1k	336	89.570	10.430	98.954	1.046	1,013.01	1.000	bicubic
7	eva02_large_patch14_448.mim_m38m_ft_in1k	448	89.554	10.446	98.924	1.076	305.08	1.000	bicubic
8	eva_giant_patch14_336.clip_ft_in1k	336	89.462	10.538	98.828	1.172	1,013.01	1.000	bicubic
9	eva_large_patch14_336.in22k_ft_in22k_in1k	336	89.250	10.750	98.852	1.148	304.53	1.000	bicubic
10	eva_giant_patch14_224.clip_ft_in1k	224	88.886	11.114	98.680	1.320	1,012.56	0.900	bicubic
11	convnextv2_huge.fcmae_ft_in22k_in1k_512	512	88.860	11.140	98.740	1.260	660.29	1.000	bicubic
12	eva_large_patch14_336.in22k_ft_in1k	336	88.690	11.310	98.710	1.290	304.53	1.000	bicubic
13	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	448	88.682	11.318	98.728	1.272	87.12	1.000	bicubic
14	convnextv2_huge.fcmae_ft_in22k_in1k_384	384	88.662	11.338	98.734	1.266	660.29	1.000	bicubic
15	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	336	88.628	11.372	98.670	1.330	632.46	1.000	bicubic
16	convnext_xxlarge.clip_laion2b_soup_ft_in1k	256	88.622	11.378	98.718	1.282	846.47	1.000	bicubic
17	eva_large_patch14_196.in22k_ft_in22k_in1k	196	88.596	11.404	98.662	1.338	304.14	1.000	bicubic
18	beit_large_patch16_512.in22k_ft_in22k_in1k	512	88.578	11.422	98.660	1.340	305.67	1.000	bicubic
19	maxvit_xlarge_tf_512.in21k_ft_in1k	512	88.540	11.460	98.652	1.348	475.77	1.000	bicubic
20	beitv2_large_patch16_224.in1k_ft_in22k_in1k	224	88.406	11.594	98.602	1.398	304.43	0.950	bicubic
21	beit_large_patch16_384.in22k_ft_in22k_in1k	384	88.382	11.618	98.608	1.392	305.00	1.000	bicubic
22	tf_efficientnet_l2.ns_jft_in1k	800	88.362	11.638	98.656	1.344	480.31	0.960	bicubic
23	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	384	88.334	11.666	98.574	1.426	200.13	1.000	bicubic
24	maxvit_xlarge_tf_384.in21k_ft_in1k	384	88.304	11.696	98.540	1.460	475.32	1.000	bicubic
25	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	224	88.278	11.722	98.552	1.448	632.05	1.000	bicubic
26	eva02_base_patch14_448.mim_in22k_ft_in1k	448	88.266	11.734	98.570	1.430	87.12	1.000	bicubic
27	vit_large_patch14_clip_336.openai_ft_in12k_in1k	336	88.264	11.736	98.528	1.472	304.53	1.000	bicubic
28	tf_efficientnet_l2.ns_jft_in1k_475	475	88.250	11.750	98.556	1.444	480.31	0.936	bicubic
29	maxvit_large_tf_512.in21k_ft_in1k	512	88.236	11.764	98.608	1.392	212.33	1.000	bicubic
30	regnety_1280.swag_ft_in1k	384	88.224	11.776	98.698	1.302	644.81	1.000	bicubic
31	maxvit_base_tf_512.in21k_ft_in1k	512	88.212	11.788	98.538	1.462	119.88	1.000	bicubic
32	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	336	88.192	11.808	98.570	1.430	304.53	1.000	bicubic
33	convnextv2_large.fcmae_ft_in22k_in1k_384	384	88.178	11.822	98.518	1.482	197.96	1.000	bicubic
34	vit_large_patch14_clip_224.openai_ft_in12k_in1k	224	88.162	11.838	98.540	1.460	304.20	1.000	bicubic
35	caformer_b36.sail_in22k_ft_in1k_384	384	88.066	11.934	98.590	1.410	98.75	1.000	bicubic
36	maxvit_large_tf_384.in21k_ft_in1k	384	87.996	12.004	98.568	1.432	212.03	1.000	bicubic
37	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	320	87.970	12.030	98.474	1.526	200.13	1.000	bicubic
38	eva_large_patch14_196.in22k_ft_in1k	196	87.956	12.044	98.480	1.520	304.14	1.000	bicubic
39	maxvit_base_tf_384.in21k_ft_in1k	384	87.928	12.072	98.538	1.462	119.65	1.000	bicubic
40	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	224	87.898	12.102	98.408	1.592	304.20	1.000	bicubic
41	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	384	87.890	12.110	98.448	1.552	200.13	1.000	bicubic
42	vit_large_patch14_clip_336.laion2b_ft_in1k	336	87.866	12.134	98.354	1.646	304.53	1.000	bicubic
43	vit_large_patch14_clip_224.openai_ft_in1k	224	87.860	12.140	98.430	1.570	304.20	1.000	bicubic
44	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	384	87.812	12.188	98.368	1.632	116.14	1.000	bicubic
45	convnext_xlarge.fb_in22k_ft_in1k_384	384	87.766	12.234	98.554	1.446	350.20	1.000	bicubic
46	deit3_large_patch16_384.fb_in22k_ft_in1k	384	87.734	12.266	98.508	1.492	304.76	1.000	bicubic
47	convnextv2_base.fcmae_ft_in22k_in1k_384	384	87.638	12.362	98.416	1.584	88.72	1.000	bicubic
48	vit_huge_patch14_clip_224.laion2b_ft_in1k	224	87.624	12.376	98.228	1.772	632.05	1.000	bicubic
49	convformer_b36.sail_in22k_ft_in1k_384	384	87.602	12.398	98.432	1.568	99.88	1.000	bicubic
50	convnextv2_large.fcmae_ft_in22k_in1k	288	87.494	12.506	98.360	1.640	197.96	1.000	bicubic
51	beit_large_patch16_224.in22k_ft_in22k_in1k	224	87.488	12.512	98.316	1.684	304.43	0.900	bicubic
52	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	384	87.478	12.522	98.374	1.626	116.09	1.000	bicubic
53	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	384	87.474	12.526	98.264	1.736	196.74	1.000	bicubic
54	caformer_m36.sail_in22k_ft_in1k_384	384	87.472	12.528	98.308	1.692	56.20	1.000	bicubic
55	convnext_large.fb_in22k_ft_in1k_384	384	87.456	12.544	98.380	1.620	197.77	1.000	bicubic
56	caformer_b36.sail_in22k_ft_in1k	224	87.440	12.560	98.332	1.668	98.75	1.000	bicubic
57	vit_mediumd_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	384	87.436	12.564	98.258	1.742	64.27	1.000	bicubic
58	beitv2_large_patch16_224.in1k_ft_in1k	224	87.414	12.586	98.216	1.784	304.43	0.950	bicubic
59	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	384	87.402	12.598	98.308	1.692	73.88	1.000	bicubic
60	convnext_xlarge.fb_in22k_ft_in1k	288	87.374	12.626	98.330	1.670	350.20	1.000	bicubic
61	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	256	87.336	12.664	98.222	1.778	200.13	1.000	bicubic
62	seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	384	87.308	12.692	98.334	1.666	149.39	1.000	bicubic
63	vit_large_patch14_clip_224.laion2b_ft_in1k	224	87.298	12.702	98.238	1.762	304.20	1.000	bicubic
64	convnextv2_large.fcmae_ft_in22k_in1k	224	87.264	12.736	98.244	1.756	197.96	0.875	bicubic
65	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	384	87.212	12.788	98.028	1.972	86.86	1.000	bicubic
66	deit3_huge_patch14_224.fb_in22k_ft_in1k	224	87.180	12.820	98.264	1.736	632.13	1.000	bicubic
67	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	384	87.150	12.850	98.228	1.772	88.59	1.000	bicubic
68	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	384	87.140	12.860	98.228	1.772	87.92	1.000	bicubic
69	swin_large_patch4_window12_384.ms_in22k_ft_in1k	384	87.138	12.862	98.230	1.770	196.74	1.000	bicubic
70	vit_large_patch16_384.augreg_in21k_ft_in1k	384	87.094	12.906	98.306	1.694	304.72	1.000	bicubic
71	volo_d5_512.sail_in1k	512	87.066	12.934	97.974	2.026	296.09	1.150	bicubic
72	vit_base_patch16_clip_384.openai_ft_in12k_in1k	384	87.028	12.972	98.194	1.806	86.86	0.950	bicubic
73	convnext_large.fb_in22k_ft_in1k	288	87.014	12.986	98.212	1.788	197.77	1.000	bicubic
74	convnextv2_base.fcmae_ft_in22k_in1k	288	86.998	13.002	98.164	1.836	88.72	1.000	bicubic
75	deit3_large_patch16_224.fb_in22k_ft_in1k	224	86.986	13.014	98.240	1.760	304.37	1.000	bicubic
76	convformer_b36.sail_in22k_ft_in1k	224	86.984	13.016	98.158	1.842	99.88	1.000	bicubic
77	volo_d5_448.sail_in1k	448	86.978	13.022	97.928	2.072	295.91	1.150	bicubic
78	convnext_xlarge.fb_in22k_ft_in1k	224	86.970	13.030	98.204	1.796	350.20	0.875	bicubic
79	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	256	86.934	13.066	98.104	1.896	196.74	0.900	bicubic
80	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	224	86.908	13.092	98.004	1.996	116.14	0.950	bicubic
81	convformer_m36.sail_in22k_ft_in1k_384	384	86.868	13.132	98.126	1.874	57.05	1.000	bicubic
82	caformer_s36.sail_in22k_ft_in1k_384	384	86.864	13.136	98.222	1.778	39.30	1.000	bicubic
83	regnety_320.swag_ft_in1k	384	86.860	13.140	98.356	1.644	145.05	1.000	bicubic
84	tf_efficientnet_b7.ns_jft_in1k	600	86.852	13.148	98.080	1.920	66.35	0.949	bicubic
85	hiera_huge_224.mae_in1k_ft_in1k	224	86.834	13.166	98.010	1.990	672.78	0.900	bicubic
86	convnext_base.fb_in22k_ft_in1k_384	384	86.826	13.174	98.244	1.756	88.59	1.000	bicubic
87	beit_base_patch16_384.in22k_ft_in22k_in1k	384	86.816	13.184	98.136	1.864	86.74	1.000	bicubic
88	tf_efficientnetv2_l.in21k_ft_in1k	480	86.802	13.198	98.136	1.864	118.52	1.000	bicubic
89	volo_d4_448.sail_in1k	448	86.790	13.210	97.880	2.120	193.41	1.150	bicubic
90	convnextv2_base.fcmae_ft_in22k_in1k	224	86.752	13.248	98.020	1.980	88.72	0.875	bicubic
91	tf_efficientnetv2_xl.in21k_ft_in1k	512	86.748	13.252	98.014	1.986	208.12	1.000	bicubic
92	deit3_base_patch16_384.fb_in22k_ft_in1k	384	86.744	13.256	98.110	1.890	86.88	1.000	bicubic
93	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	320	86.722	13.278	98.182	1.818	93.59	1.000	bicubic
94	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	224	86.638	13.362	98.014	1.986	116.09	0.950	bicubic
95	vit_base_patch16_clip_384.laion2b_ft_in1k	384	86.638	13.362	98.008	1.992	86.86	1.000	bicubic
96	convnextv2_huge.fcmae_ft_in1k	288	86.618	13.382	97.968	2.032	660.29	1.000	bicubic
97	convnext_large.fb_in22k_ft_in1k	224	86.612	13.388	98.036	1.964	197.77	0.875	bicubic
98	caformer_m36.sail_in22k_ft_in1k	224	86.608	13.392	98.038	1.962	56.20	1.000	bicubic
99	vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	256	86.604	13.396	97.936	2.064	64.11	0.950	bicubic
100	vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	384	86.602	13.398	98.022	1.978	60.60	1.000	bicubic
101	maxvit_base_tf_512.in1k	512	86.598	13.402	97.926	2.074	119.88	1.000	bicubic
102	coatnet_2_rw_224.sw_in12k_ft_in1k	224	86.580	13.420	97.896	2.104	73.87	0.950	bicubic
103	nextvit_large.bd_ssld_6m_in1k_384	384	86.542	13.458	98.132	1.868	57.87	1.000	bicubic
104	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	224	86.540	13.460	97.896	2.104	73.88	0.950	bicubic
105	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	288	86.536	13.464	98.094	1.906	93.59	0.950	bicubic
106	maxvit_large_tf_512.in1k	512	86.534	13.466	97.880	2.120	212.33	1.000	bicubic
107	seresnextaa101d_32x8d.sw_in12k_ft_in1k	288	86.518	13.482	98.036	1.964	93.59	1.000	bicubic
108	volo_d3_448.sail_in1k	448	86.512	13.488	97.710	2.290	86.63	1.000	bicubic
109	beitv2_base_patch16_224.in1k_ft_in22k_in1k	224	86.494	13.506	98.056	1.944	86.53	0.900	bicubic
110	convnext_base.clip_laiona_augreg_ft_in1k_384	384	86.488	13.512	97.962	2.038	88.59	1.000	bicubic
111	cait_m48_448.fb_dist_in1k	448	86.482	13.518	97.746	2.254	356.46	1.000	bicubic
112	tf_efficientnet_b6.ns_jft_in1k	528	86.476	13.524	97.868	2.132	43.04	0.942	bicubic
113	tiny_vit_21m_512.dist_in22k_ft_in1k	512	86.452	13.548	97.884	2.116	21.27	1.000	bicubic
114	swin_base_patch4_window12_384.ms_in22k_ft_in1k	384	86.438	13.562	98.068	1.932	87.90	1.000	bicubic
115	caformer_b36.sail_in1k_384	384	86.404	13.596	97.824	2.176	98.75	1.000	bicubic
116	efficientvit_l3.r384_in1k	384	86.398	13.602	97.634	2.366	246.04	1.000	bicubic
117	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	256	86.386	13.614	97.976	2.024	88.59	1.000	bicubic
118	hgnetv2_b6.ssld_stage2_ft_in1k	288	86.384	13.616	97.938	2.062	75.26	1.000	bicubic
119	convformer_s36.sail_in22k_ft_in1k_384	384	86.380	13.620	97.976	2.024	40.01	1.000	bicubic
120	dm_nfnet_f6.dm_in1k	576	86.372	13.628	97.892	2.108	438.36	0.956	bicubic
121	nextvit_base.bd_ssld_6m_in1k_384	384	86.364	13.636	98.040	1.960	44.82	1.000	bicubic
122	swin_large_patch4_window7_224.ms_in22k_ft_in1k	224	86.330	13.670	97.882	2.118	196.53	0.900	bicubic
123	convnext_base.fb_in22k_ft_in1k	288	86.298	13.702	98.088	1.912	88.59	1.000	bicubic
124	hgnetv2_b6.ssld_stage1_in22k_in1k	288	86.298	13.702	97.940	2.060	75.26	1.000	bicubic
125	maxvit_base_tf_384.in1k	384	86.294	13.706	97.804	2.196	119.65	1.000	bicubic
126	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	256	86.276	13.724	97.908	2.092	87.92	0.900	bicubic
127	convnextv2_huge.fcmae_ft_in1k	224	86.260	13.740	97.752	2.248	660.29	0.875	bicubic
128	maxvit_large_tf_384.in1k	384	86.236	13.764	97.690	2.310	212.03	1.000	bicubic
129	efficientvit_l3.r320_in1k	320	86.230	13.770	97.456	2.544	246.04	1.000	bicubic
130	vit_base_patch8_224.augreg2_in21k_ft_in1k	224	86.228	13.772	97.840	2.160	86.58	0.900	bicubic
131	vit_base_patch16_clip_384.openai_ft_in1k	384	86.218	13.782	97.886	2.114	86.86	1.000	bicubic
132	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	224	86.210	13.790	97.756	2.244	86.57	0.950	bicubic
133	vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	86.208	13.792	97.882	2.118	64.11	0.950	bicubic
134	hgnetv2_b6.ssld_stage2_ft_in1k	224	86.206	13.794	97.810	2.190	75.26	0.965	bicubic
135	convnext_small.in12k_ft_in1k_384	384	86.186	13.814	97.920	2.080	50.22	1.000	bicubic
136	vit_large_r50_s32_384.augreg_in21k_ft_in1k	384	86.184	13.816	97.928	2.072	329.09	1.000	bicubic
137	convnext_base.clip_laion2b_augreg_ft_in1k	256	86.184	13.816	97.674	2.326	88.59	1.000	bicubic
138	caformer_m36.sail_in1k_384	384	86.160	13.840	97.816	2.184	56.20	1.000	bicubic
139	dm_nfnet_f6.dm_in1k	448	86.154	13.846	97.768	2.232	438.36	0.956	bicubic
140	convformer_m36.sail_in22k_ft_in1k	224	86.152	13.848	97.852	2.148	57.05	1.000	bicubic
141	convnextv2_large.fcmae_ft_in1k	288	86.126	13.874	97.818	2.182	197.96	1.000	bicubic
142	maxvit_small_tf_512.in1k	512	86.104	13.896	97.758	2.242	69.13	1.000	bicubic
143	tf_efficientnet_b5.ns_jft_in1k	456	86.102	13.898	97.750	2.250	30.39	0.934	bicubic
144	dm_nfnet_f5.dm_in1k	544	86.100	13.900	97.686	2.314	377.21	0.954	bicubic
145	tiny_vit_21m_384.dist_in22k_ft_in1k	384	86.094	13.906	97.712	2.288	21.23	1.000	bicubic
146	volo_d5_224.sail_in1k	224	86.078	13.922	97.578	2.422	295.46	0.960	bicubic
147	cait_m36_384.fb_dist_in1k	384	86.064	13.936	97.732	2.268	271.22	1.000	bicubic
148	volo_d2_384.sail_in1k	384	86.058	13.942	97.584	2.416	58.87	1.000	bicubic
149	hgnetv2_b6.ssld_stage1_in22k_in1k	224	86.052	13.948	97.806	2.194	75.26	0.965	bicubic
150	hiera_large_224.mae_in1k_ft_in1k	224	86.044	13.956	97.648	2.352	213.74	0.900	bicubic
151	regnety_160.sw_in12k_ft_in1k	288	86.032	13.968	97.830	2.170	83.59	1.000	bicubic
152	xcit_large_24_p8_384.fb_dist_in1k	384	86.026	13.974	97.690	2.310	188.93	1.000	bicubic
153	regnety_160.swag_ft_in1k	384	86.018	13.982	98.050	1.950	83.59	1.000	bicubic
154	tf_efficientnetv2_m.in21k_ft_in1k	480	86.014	13.986	97.956	2.044	54.14	1.000	bicubic
155	regnety_160.lion_in12k_ft_in1k	288	86.010	13.990	97.846	2.154	83.59	1.000	bicubic
156	vit_base_patch16_384.augreg_in21k_ft_in1k	384	86.006	13.994	98.000	2.000	86.86	1.000	bicubic
157	efficientvit_l2.r384_in1k	384	85.982	14.018	97.514	2.486	63.71	1.000	bicubic
158	regnety_1280.swag_lc_in1k	224	85.966	14.034	97.852	2.148	644.81	0.965	bicubic
159	vit_base_patch16_clip_224.openai_ft_in12k_in1k	224	85.962	14.038	97.718	2.282	86.57	0.950	bicubic
160	nextvit_small.bd_ssld_6m_in1k_384	384	85.956	14.044	97.900	2.100	31.76	1.000	bicubic
161	seresnextaa101d_32x8d.sw_in12k_ft_in1k	224	85.956	14.044	97.824	2.176	93.59	0.875	bicubic
162	efficientvit_l3.r256_in1k	256	85.954	14.046	97.338	2.662	246.04	1.000	bicubic
163	efficientnet_b5.sw_in12k_ft_in1k	448	85.892	14.108	97.742	2.258	30.39	1.000	bicubic
164	volo_d4_224.sail_in1k	224	85.872	14.128	97.456	2.544	192.96	0.960	bicubic
165	dm_nfnet_f4.dm_in1k	512	85.860	14.140	97.652	2.348	316.07	0.951	bicubic
166	vit_large_patch16_224.augreg_in21k_ft_in1k	224	85.850	14.150	97.826	2.174	304.33	0.900	bicubic
167	rdnet_large.nv_in1k_ft_in1k_384	384	85.848	14.152	97.684	2.316	186.27	1.000	bicubic
168	xcit_medium_24_p8_384.fb_dist_in1k	384	85.842	14.158	97.602	2.398	84.32	1.000	bicubic
169	vit_base_patch8_224.augreg_in21k_ft_in1k	224	85.836	14.164	97.774	2.226	86.58	0.900	bicubic
170	tf_efficientnetv2_l.in21k_ft_in1k	384	85.832	14.168	97.770	2.230	118.52	1.000	bicubic
171	deit3_large_patch16_384.fb_in1k	384	85.818	14.182	97.602	2.398	304.76	1.000	bicubic
172	convnext_base.fb_in22k_ft_in1k	224	85.816	14.184	97.854	2.146	88.59	0.875	bicubic
173	efficientvit_l3.r224_in1k	224	85.812	14.188	97.210	2.790	246.04	1.000	bicubic
174	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	448	85.800	14.200	97.632	2.368	88.34	1.000	bicubic
175	caformer_s36.sail_in22k_ft_in1k	224	85.788	14.212	97.828	2.172	39.30	1.000	bicubic
176	convformer_b36.sail_in1k_384	384	85.778	14.222	97.520	2.480	99.88	1.000	bicubic
177	xcit_large_24_p16_384.fb_dist_in1k	384	85.776	14.224	97.528	2.472	189.10	1.000	bicubic
178	convnextv2_large.fcmae_ft_in1k	224	85.762	14.238	97.586	2.414	197.96	0.875	bicubic
179	eva02_small_patch14_336.mim_in22k_ft_in1k	336	85.760	14.240	97.610	2.390	22.13	1.000	bicubic
180	caformer_s36.sail_in1k_384	384	85.756	14.244	97.668	2.332	39.30	1.000	bicubic
181	convnext_small.fb_in22k_ft_in1k_384	384	85.754	14.246	97.882	2.118	50.22	1.000	bicubic
182	deit3_base_patch16_224.fb_in22k_ft_in1k	224	85.728	14.272	97.746	2.254	86.59	1.000	bicubic
183	vit_betwixt_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	256	85.728	14.272	97.608	2.392	60.40	0.950	bicubic
184	dm_nfnet_f5.dm_in1k	416	85.716	14.284	97.552	2.448	377.21	0.954	bicubic
185	dm_nfnet_f3.dm_in1k	416	85.672	14.328	97.578	2.422	254.92	0.940	bicubic
186	maxvit_tiny_tf_512.in1k	512	85.660	14.340	97.592	2.408	31.05	1.000	bicubic
187	tf_efficientnetv2_l.in1k	480	85.660	14.340	97.472	2.528	118.52	1.000	bicubic
188	flexivit_large.1200ep_in1k	240	85.644	14.356	97.546	2.454	304.36	0.950	bicubic
189	efficientvit_l2.r288_in1k	288	85.614	14.386	97.360	2.640	63.71	1.000	bicubic
190	regnety_160.lion_in12k_ft_in1k	224	85.602	14.398	97.668	2.332	83.59	0.950	bicubic
191	beitv2_base_patch16_224.in1k_ft_in1k	224	85.596	14.404	97.514	2.486	86.53	0.900	bicubic
192	regnety_160.sw_in12k_ft_in1k	224	85.594	14.406	97.668	2.332	83.59	0.950	bicubic
193	xcit_small_24_p8_384.fb_dist_in1k	384	85.582	14.418	97.572	2.428	47.63	1.000	bicubic
194	convformer_m36.sail_in1k_384	384	85.580	14.420	97.548	2.452	57.05	1.000	bicubic
195	tf_efficientnetv2_xl.in21k_ft_in1k	384	85.562	14.438	97.450	2.550	208.12	1.000	bicubic
196	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	384	85.554	14.446	97.640	2.360	39.03	0.950	bicubic
197	maxvit_small_tf_384.in1k	384	85.534	14.466	97.458	2.542	69.02	1.000	bicubic
198	flexivit_large.600ep_in1k	240	85.530	14.470	97.494	2.506	304.36	0.950	bicubic
199	nextvit_large.bd_ssld_6m_in1k	224	85.524	14.476	97.676	2.324	57.87	0.950	bicubic
200	caformer_b36.sail_in1k	224	85.502	14.498	97.316	2.684	98.75	1.000	bicubic
201	dm_nfnet_f4.dm_in1k	384	85.496	14.504	97.490	2.510	316.07	0.951	bicubic
202	vit_base_patch16_clip_224.laion2b_ft_in1k	224	85.494	14.506	97.572	2.428	86.57	1.000	bicubic
203	convnextv2_base.fcmae_ft_in1k	288	85.490	14.510	97.380	2.620	88.72	1.000	bicubic
204	hgnet_base.ssld_in1k	288	85.472	14.528	97.634	2.366	71.58	1.000	bicubic
205	cait_s36_384.fb_dist_in1k	384	85.458	14.542	97.480	2.520	68.37	1.000	bicubic
206	regnety_120.sw_in12k_ft_in1k	288	85.442	14.558	97.572	2.428	51.82	1.000	bicubic
207	volo_d3_224.sail_in1k	224	85.442	14.558	97.276	2.724	86.33	0.960	bicubic
208	xcit_medium_24_p16_384.fb_dist_in1k	384	85.434	14.566	97.408	2.592	84.40	1.000	bicubic
209	deit_base_distilled_patch16_384.fb_in1k	384	85.428	14.572	97.328	2.672	87.63	1.000	bicubic
210	caformer_s18.sail_in22k_ft_in1k_384	384	85.424	14.576	97.712	2.288	26.34	1.000	bicubic
211	convformer_s36.sail_in22k_ft_in1k	224	85.424	14.576	97.582	2.418	40.01	1.000	bicubic
212	vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	85.424	14.576	97.474	2.526	60.40	0.950	bicubic
213	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	384	85.410	14.590	97.660	2.340	88.30	1.000	bicubic
214	xcit_large_24_p8_224.fb_dist_in1k	224	85.402	14.598	97.418	2.582	188.93	1.000	bicubic
215	convformer_s36.sail_in1k_384	384	85.380	14.620	97.470	2.530	40.01	1.000	bicubic
216	efficientvit_l2.r256_in1k	256	85.368	14.632	97.256	2.744	63.71	1.000	bicubic
217	tf_efficientnet_b8.ap_in1k	672	85.366	14.634	97.298	2.702	87.41	0.954	bicubic
218	tf_efficientnet_b8.ra_in1k	672	85.356	14.644	97.388	2.612	87.41	0.954	bicubic
219	convnext_small.in12k_ft_in1k	288	85.324	14.676	97.554	2.446	50.22	1.000	bicubic
220	vit_base_patch16_clip_224.openai_ft_in1k	224	85.286	14.714	97.440	2.560	86.57	0.900	bicubic
221	flexivit_large.300ep_in1k	240	85.282	14.718	97.404	2.596	304.36	0.950	bicubic
222	convnext_small.fb_in22k_ft_in1k	288	85.276	14.724	97.678	2.322	50.22	1.000	bicubic
223	swin_base_patch4_window7_224.ms_in22k_ft_in1k	224	85.270	14.730	97.568	2.432	87.77	0.900	bicubic
224	volo_d1_384.sail_in1k	384	85.266	14.734	97.218	2.782	26.78	1.000	bicubic
225	mvitv2_large.fb_in1k	224	85.264	14.736	97.188	2.812	217.99	0.900	bicubic
226	beit_base_patch16_224.in22k_ft_in22k_in1k	224	85.244	14.756	97.652	2.348	86.53	0.900	bicubic
227	caformer_m36.sail_in1k	224	85.240	14.760	97.206	2.794	56.20	1.000	bicubic
228	vit_base_patch32_clip_384.openai_ft_in12k_in1k	384	85.226	14.774	97.398	2.602	88.30	0.950	bicubic
229	deit3_huge_patch14_224.fb_in1k	224	85.222	14.778	97.366	2.634	632.13	0.900	bicubic
230	tf_efficientnetv2_m.in1k	480	85.210	14.790	97.364	2.636	54.14	1.000	bicubic
231	volo_d2_224.sail_in1k	224	85.202	14.798	97.186	2.814	58.68	0.960	bicubic
232	inception_next_base.sail_in1k_384	384	85.200	14.800	97.424	2.576	86.67	1.000	bicubic
233	tf_efficientnetv2_l.in1k	384	85.196	14.804	97.276	2.724	118.52	1.000	bicubic
234	nextvit_base.bd_ssld_6m_in1k	224	85.182	14.818	97.594	2.406	44.82	0.950	bicubic
235	tf_efficientnet_b4.ns_jft_in1k	380	85.176	14.824	97.488	2.512	19.34	0.922	bicubic
236	dm_nfnet_f2.dm_in1k	352	85.176	14.824	97.328	2.672	193.78	0.920	bicubic
237	convnext_small.in12k_ft_in1k	224	85.164	14.836	97.502	2.498	50.22	0.950	bicubic
238	convnext_tiny.in12k_ft_in1k_384	384	85.154	14.846	97.634	2.366	28.59	1.000	bicubic
239	hgnetv2_b5.ssld_stage2_ft_in1k	288	85.150	14.850	97.600	2.400	39.57	1.000	bicubic
240	regnety_2560.seer_ft_in1k	384	85.146	14.854	97.444	2.556	1,282.60	1.000	bicubic
241	hiera_base_plus_224.mae_in1k_ft_in1k	224	85.134	14.866	97.158	2.842	69.90	0.900	bicubic
242	tf_efficientnet_b7.ap_in1k	600	85.132	14.868	97.256	2.744	66.35	0.949	bicubic
243	vit_base_patch16_224.augreg2_in21k_ft_in1k	224	85.110	14.890	97.538	2.462	86.57	0.900	bicubic
244	convnextv2_tiny.fcmae_ft_in22k_in1k_384	384	85.106	14.894	97.632	2.368	28.64	1.000	bicubic
245	maxvit_tiny_tf_384.in1k	384	85.102	14.898	97.382	2.618	30.98	1.000	bicubic
246	xcit_small_24_p16_384.fb_dist_in1k	384	85.102	14.898	97.318	2.682	47.67	1.000	bicubic
247	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	224	85.098	14.902	97.442	2.558	468.53	0.875	bilinear
248	dm_nfnet_f3.dm_in1k	320	85.096	14.904	97.386	2.614	254.92	0.940	bicubic
249	tiny_vit_21m_224.dist_in22k_ft_in1k	224	85.088	14.912	97.356	2.644	21.20	0.950	bicubic
250	deit3_base_patch16_384.fb_in1k	384	85.086	14.914	97.248	2.752	86.88	1.000	bicubic
251	xcit_medium_24_p8_224.fb_dist_in1k	224	85.076	14.924	97.274	2.726	84.32	1.000	bicubic
252	xcit_small_12_p8_384.fb_dist_in1k	384	85.072	14.928	97.262	2.738	26.21	1.000	bicubic
253	efficientvit_l2.r224_in1k	224	85.044	14.956	97.098	2.902	63.71	1.000	bicubic
254	cait_s24_384.fb_dist_in1k	384	85.042	14.958	97.350	2.650	47.06	1.000	bicubic
255	regnetz_e8.ra3_in1k	320	85.040	14.960	97.282	2.718	57.70	1.000	bicubic
256	caformer_s18.sail_in1k_384	384	85.036	14.964	97.360	2.640	26.34	1.000	bicubic
257	convformer_s18.sail_in22k_ft_in1k_384	384	85.026	14.974	97.580	2.420	26.77	1.000	bicubic
258	resnetrs420.tf_in1k	416	85.014	14.986	97.116	2.884	191.89	1.000	bicubic
259	vit_base_r50_s16_384.orig_in21k_ft_in1k	384	84.994	15.006	97.304	2.696	98.95	1.000	bicubic
260	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	544	84.990	15.010	97.284	2.716	32.59	1.000	bicubic
261	regnety_120.sw_in12k_ft_in1k	224	84.986	15.014	97.422	2.578	51.82	0.950	bicubic
262	ecaresnet269d.ra2_in1k	352	84.972	15.028	97.224	2.776	102.09	1.000	bicubic
263	vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	84.944	15.056	97.388	2.612	38.88	0.950	bicubic
264	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	224	84.940	15.060	96.968	3.032	41.72	0.950	bicubic
265	xcit_large_24_p16_224.fb_dist_in1k	224	84.936	15.064	97.128	2.872	189.10	1.000	bicubic
266	nextvit_large.bd_in1k_384	384	84.934	15.066	97.298	2.702	57.87	1.000	bicubic
267	maxvit_large_tf_224.in1k	224	84.934	15.066	96.980	3.020	211.79	0.950	bicubic
268	tf_efficientnet_b7.ra_in1k	600	84.930	15.070	97.200	2.800	66.35	0.949	bicubic
269	hgnetv2_b5.ssld_stage1_in22k_in1k	288	84.924	15.076	97.514	2.486	39.57	1.000	bicubic
270	resnetv2_152x4_bit.goog_in21k_ft_in1k	480	84.924	15.076	97.458	2.542	936.53	1.000	bilinear
271	hgnet_base.ssld_in1k	224	84.912	15.088	97.340	2.660	71.58	0.965	bicubic
272	hiera_small_abswin_256.sbb2_e200_in12k_ft_in1k	256	84.900	15.100	97.254	2.746	34.36	0.950	bicubic
273	coat_lite_medium_384.in1k	384	84.894	15.106	97.376	2.624	44.57	1.000	bicubic
274	convnextv2_base.fcmae_ft_in1k	224	84.888	15.112	97.080	2.920	88.72	0.875	bicubic
275	xcit_small_24_p8_224.fb_dist_in1k	224	84.876	15.124	97.200	2.800	47.63	1.000	bicubic
276	maxvit_base_tf_224.in1k	224	84.870	15.130	97.004	2.996	119.47	0.950	bicubic
277	convnext_large.fb_in1k	288	84.862	15.138	97.210	2.790	197.77	1.000	bicubic
278	nextvit_small.bd_ssld_6m_in1k	224	84.856	15.144	97.380	2.620	31.76	0.950	bicubic
279	deit3_small_patch16_384.fb_in22k_ft_in1k	384	84.842	15.158	97.482	2.518	22.21	1.000	bicubic
280	convformer_b36.sail_in1k	224	84.830	15.170	96.950	3.050	99.88	1.000	bicubic
281	efficientnetv2_rw_m.agc_in1k	416	84.824	15.176	97.150	2.850	53.24	1.000	bicubic
282	hgnetv2_b5.ssld_stage2_ft_in1k	224	84.810	15.190	97.300	2.700	39.57	0.965	bicubic
283	rdnet_large.nv_in1k	224	84.794	15.206	97.154	2.846	186.27	0.900	bicubic
284	tf_efficientnet_b6.ap_in1k	528	84.792	15.208	97.134	2.866	43.04	0.942	bicubic
285	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	480	84.780	15.220	97.342	2.658	32.59	1.000	bicubic
286	deit3_large_patch16_224.fb_in1k	224	84.778	15.222	97.046	2.954	304.37	0.900	bicubic
287	tf_efficientnetv2_m.in21k_ft_in1k	384	84.768	15.232	97.440	2.560	54.14	1.000	bicubic
288	xcit_small_12_p16_384.fb_dist_in1k	384	84.736	15.264	97.136	2.864	26.25	1.000	bicubic
289	nextvit_base.bd_in1k_384	384	84.726	15.274	97.224	2.776	44.82	1.000	bicubic
290	resnetrs350.tf_in1k	384	84.722	15.278	96.972	3.028	163.96	1.000	bicubic
291	ecaresnet269d.ra2_in1k	320	84.720	15.280	97.182	2.818	102.09	0.950	bicubic
292	eca_nfnet_l2.ra3_in1k	384	84.706	15.294	97.256	2.744	56.72	1.000	bicubic
293	dm_nfnet_f1.dm_in1k	320	84.696	15.304	97.180	2.820	132.63	0.910	bicubic
294	flexivit_base.1200ep_in1k	240	84.688	15.312	97.020	2.980	86.59	0.950	bicubic
295	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	448	84.668	15.332	97.108	2.892	32.59	0.950	bicubic
296	davit_base.msft_in1k	224	84.650	15.350	97.018	2.982	87.95	0.950	bicubic
297	maxxvit_rmlp_small_rw_256.sw_in1k	256	84.640	15.360	97.062	2.938	66.01	0.950	bicubic
298	regnety_320.swag_lc_in1k	224	84.632	15.368	97.484	2.516	145.05	0.965	bicubic
299	swinv2_base_window16_256.ms_in1k	256	84.608	15.392	97.064	2.936	87.92	0.900	bicubic
300	fastvit_ma36.apple_dist_in1k	256	84.606	15.394	97.006	2.994	44.07	0.950	bicubic
301	coatnet_rmlp_2_rw_224.sw_in1k	224	84.602	15.398	96.746	3.254	73.88	0.950	bicubic
302	rexnetr_300.sw_in12k_ft_in1k	288	84.586	15.414	97.278	2.722	34.81	1.000	bicubic
303	convnext_small.fb_in22k_ft_in1k	224	84.582	15.418	97.414	2.586	50.22	0.875	bicubic
304	seresnextaa101d_32x8d.ah_in1k	288	84.576	15.424	97.074	2.926	93.59	1.000	bicubic
305	deit3_medium_patch16_224.fb_in22k_ft_in1k	224	84.566	15.434	97.178	2.822	38.85	1.000	bicubic
306	flexivit_base.600ep_in1k	240	84.560	15.440	96.910	3.090	86.59	0.950	bicubic
307	tf_efficientnetv2_m.in1k	384	84.558	15.442	97.056	2.944	54.14	1.000	bicubic
308	hiera_small_abswin_256.sbb2_pd_e200_in12k_ft_in1k	256	84.554	15.446	97.106	2.894	34.36	0.950	bicubic
309	caformer_s36.sail_in1k	224	84.544	15.456	97.010	2.990	39.30	1.000	bicubic
310	resnest269e.in1k	416	84.540	15.460	96.990	3.010	110.93	0.928	bicubic
311	vit_base_patch16_224.augreg_in21k_ft_in1k	224	84.532	15.468	97.298	2.702	86.57	0.900	bicubic
312	hiera_base_224.mae_in1k_ft_in1k	224	84.526	15.474	97.040	2.960	51.52	0.900	bicubic
313	regnetz_040_h.ra3_in1k	320	84.510	15.490	97.016	2.984	28.94	1.000	bicubic
314	convformer_m36.sail_in1k	224	84.486	15.514	96.866	3.134	57.05	1.000	bicubic
315	hrnet_w48_ssld.paddle_in1k	288	84.484	15.516	97.226	2.774	77.47	1.000	bilinear
316	maxvit_rmlp_small_rw_224.sw_in1k	224	84.484	15.516	96.774	3.226	64.90	0.900	bicubic
317	resnetv2_152x2_bit.goog_in21k_ft_in1k	448	84.480	15.520	97.416	2.584	236.34	1.000	bilinear
318	swin_base_patch4_window12_384.ms_in1k	384	84.476	15.524	96.886	3.114	87.90	1.000	bicubic
319	convnext_base.fb_in1k	288	84.466	15.534	96.982	3.018	88.59	1.000	bicubic
320	hgnetv2_b5.ssld_stage1_in22k_in1k	224	84.456	15.544	97.218	2.782	39.57	0.965	bicubic
321	maxvit_small_tf_224.in1k	224	84.456	15.544	96.828	3.172	68.93	0.950	bicubic
322	gcvit_base.in1k	224	84.454	15.546	96.850	3.150	90.32	0.875	bicubic
323	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	256	84.450	15.550	97.218	2.782	38.86	0.950	bicubic
324	convnext_tiny.in12k_ft_in1k	288	84.448	15.552	97.328	2.672	28.59	1.000	bicubic
325	efficientvit_l1.r224_in1k	224	84.448	15.552	96.856	3.144	52.65	1.000	bicubic
326	resnetrs200.tf_in1k	320	84.446	15.554	97.072	2.928	93.21	1.000	bicubic
327	resnetrs270.tf_in1k	352	84.440	15.560	96.974	3.026	129.86	1.000	bicubic
328	mvitv2_base.fb_in1k	224	84.438	15.562	96.862	3.138	51.47	0.900	bicubic
329	tf_efficientnet_b7.aa_in1k	600	84.436	15.564	96.920	3.080	66.35	0.949	bicubic
330	vit_large_r50_s32_224.augreg_in21k_ft_in1k	224	84.432	15.568	97.152	2.848	328.99	0.900	bicubic
331	resnetv2_101x3_bit.goog_in21k_ft_in1k	448	84.430	15.570	97.380	2.620	387.93	1.000	bilinear
332	regnety_1280.seer_ft_in1k	384	84.426	15.574	97.084	2.916	644.81	1.000	bicubic
333	convnextv2_tiny.fcmae_ft_in22k_in1k	288	84.422	15.578	97.254	2.746	28.64	1.000	bicubic
334	regnetz_e8.ra3_in1k	256	84.418	15.582	96.986	3.014	57.70	0.940	bicubic
335	seresnext101d_32x8d.ah_in1k	288	84.402	15.598	96.922	3.078	93.59	1.000	bicubic
336	flexivit_base.300ep_in1k	240	84.402	15.598	96.886	3.114	86.59	0.950	bicubic
337	convformer_s18.sail_in1k_384	384	84.394	15.606	97.112	2.888	26.77	1.000	bicubic
338	resmlp_big_24_224.fb_in22k_ft_in1k	224	84.388	15.612	97.108	2.892	129.14	0.875	bicubic
339	xcit_large_24_p8_224.fb_in1k	224	84.386	15.614	96.666	3.334	188.93	1.000	bicubic
340	hgnet_small.ssld_in1k	288	84.378	15.622	97.130	2.870	24.36	1.000	bicubic
341	rdnet_base.nv_in1k	224	84.368	15.632	96.872	3.128	87.45	0.900	bicubic
342	mobilenetv4_hybrid_large.ix_e600_r384_in1k	448	84.364	15.636	96.908	3.092	37.76	1.000	bicubic
343	seresnet152d.ra2_in1k	320	84.354	15.646	97.042	2.958	66.84	1.000	bicubic
344	vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k	256	84.322	15.678	96.812	3.188	63.95	0.950	bicubic
345	tf_efficientnetv2_s.in21k_ft_in1k	384	84.316	15.684	97.268	2.732	21.46	1.000	bicubic
346	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	384	84.314	15.686	97.100	2.900	32.59	0.950	bicubic
347	resnetrs350.tf_in1k	288	84.308	15.692	96.928	3.072	163.96	1.000	bicubic
348	convnext_large.fb_in1k	224	84.298	15.702	96.892	3.108	197.77	0.875	bicubic
349	efficientnetv2_rw_m.agc_in1k	320	84.294	15.706	96.876	3.124	53.24	1.000	bicubic
350	xcit_medium_24_p16_224.fb_dist_in1k	224	84.288	15.712	96.936	3.064	84.40	1.000	bicubic
351	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	224	84.282	15.718	97.174	2.826	88.79	0.875	bilinear
352	mobilenetv4_hybrid_large.e600_r384_in1k	448	84.274	15.726	96.950	3.050	37.76	1.000	bicubic
353	vit_base_patch16_224_miil.in21k_ft_in1k	224	84.272	15.728	96.798	3.202	86.54	0.875	bilinear
354	davit_small.msft_in1k	224	84.266	15.734	96.930	3.070	49.75	0.950	bicubic
355	regnetz_040.ra3_in1k	320	84.256	15.744	96.934	3.066	27.12	1.000	bicubic
356	tf_efficientnet_b5.ap_in1k	456	84.254	15.746	96.978	3.022	30.39	0.934	bicubic
357	xcit_small_12_p8_224.fb_dist_in1k	224	84.250	15.750	96.874	3.126	26.21	1.000	bicubic
358	resnetrs420.tf_in1k	320	84.250	15.750	96.866	3.134	191.89	1.000	bicubic
359	swinv2_base_window8_256.ms_in1k	256	84.246	15.754	96.902	3.098	87.92	0.900	bicubic
360	maxvit_rmlp_tiny_rw_256.sw_in1k	256	84.234	15.766	96.784	3.216	29.15	0.950	bicubic
361	swinv2_small_window16_256.ms_in1k	256	84.216	15.784	96.874	3.126	49.73	0.900	bicubic
362	vit_base_patch16_384.orig_in21k_ft_in1k	384	84.208	15.792	97.220	2.780	86.86	1.000	bicubic
363	crossvit_18_dagger_408.in1k	408	84.202	15.798	96.832	3.168	44.61	1.000	bicubic
364	seresnext101_32x8d.ah_in1k	288	84.194	15.806	96.862	3.138	93.57	1.000	bicubic
365	convnext_tiny.in12k_ft_in1k	224	84.192	15.808	97.132	2.868	28.59	0.950	bicubic
366	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	224	84.164	15.836	97.188	2.812	194.03	0.875	bilinear
367	eca_nfnet_l2.ra3_in1k	320	84.156	15.844	97.018	2.982	56.72	0.900	bicubic
368	efficientvit_b3.r288_in1k	288	84.156	15.844	96.732	3.268	48.65	1.000	bicubic
369	regnetz_d8_evos.ch_in1k	320	84.152	15.848	97.020	2.980	23.46	1.000	bicubic
370	volo_d1_224.sail_in1k	224	84.152	15.848	96.774	3.226	26.63	0.960	bicubic
371	tf_efficientnet_b6.aa_in1k	528	84.118	15.882	96.886	3.114	43.04	0.942	bicubic
372	resnetaa101d.sw_in12k_ft_in1k	288	84.102	15.898	97.118	2.882	44.57	1.000	bicubic
373	convnext_tiny.fb_in22k_ft_in1k_384	384	84.098	15.902	97.138	2.862	28.59	1.000	bicubic
374	inception_next_base.sail_in1k	224	84.098	15.902	96.782	3.218	86.67	0.950	bicubic
375	dm_nfnet_f2.dm_in1k	256	84.092	15.908	96.906	3.094	193.78	0.920	bicubic
376	caformer_s18.sail_in22k_ft_in1k	224	84.086	15.914	97.188	2.812	26.34	1.000	bicubic
377	edgenext_base.in21k_ft_in1k	320	84.076	15.924	97.208	2.792	18.51	1.000	bicubic
378	vit_small_r26_s32_384.augreg_in21k_ft_in1k	384	84.074	15.926	97.314	2.686	36.47	1.000	bicubic
379	convformer_s36.sail_in1k	224	84.072	15.928	96.756	3.244	40.01	1.000	bicubic
380	tf_efficientnet_b3.ns_jft_in1k	300	84.064	15.936	96.900	3.100	12.23	0.904	bicubic
381	cait_xs24_384.fb_dist_in1k	384	84.064	15.936	96.882	3.118	26.67	1.000	bicubic
382	eca_nfnet_l1.ra2_in1k	320	84.050	15.950	97.034	2.966	41.41	1.000	bicubic
383	regnetz_d8.ra3_in1k	320	84.042	15.958	97.002	2.998	23.37	1.000	bicubic
384	nextvit_small.bd_in1k_384	384	84.042	15.958	96.990	3.010	31.76	1.000	bicubic
385	rexnetr_300.sw_in12k_ft_in1k	224	84.036	15.964	97.000	3.000	34.81	0.950	bicubic
386	fastvit_sa36.apple_dist_in1k	256	84.032	15.968	96.850	3.150	31.53	0.900	bicubic
387	regnetz_d32.ra3_in1k	320	84.028	15.972	96.870	3.130	27.58	0.950	bicubic
388	resnetv2_50x3_bit.goog_in21k_ft_in1k	448	83.992	16.008	97.132	2.868	217.32	1.000	bilinear
389	mobilenetv4_hybrid_large.ix_e600_r384_in1k	384	83.984	16.016	96.708	3.292	37.76	0.950	bicubic
390	resnet200d.ra2_in1k	320	83.976	16.024	96.820	3.180	64.69	1.000	bicubic
391	edgenext_base.usi_in1k	320	83.970	16.030	96.770	3.230	18.51	1.000	bicubic
392	regnety_080.ra3_in1k	288	83.940	16.060	96.880	3.120	39.18	1.000	bicubic
393	hgnetv2_b4.ssld_stage2_ft_in1k	288	83.934	16.066	97.064	2.936	19.80	1.000	bicubic
394	swin_s3_base_224.ms_in1k	224	83.920	16.080	96.650	3.350	71.13	0.900	bicubic
395	regnety_640.seer_ft_in1k	384	83.916	16.084	96.920	3.080	281.38	1.000	bicubic
396	vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k	256	83.910	16.090	96.686	3.314	60.23	0.950	bicubic
397	gcvit_small.in1k	224	83.908	16.092	96.660	3.340	51.09	0.875	bicubic
398	convnextv2_tiny.fcmae_ft_in22k_in1k	224	83.904	16.096	96.964	3.036	28.64	0.875	bicubic
399	tresnet_v2_l.miil_in21k_ft_in1k	224	83.902	16.098	96.496	3.504	46.17	0.875	bilinear
400	seresnextaa101d_32x8d.ah_in1k	224	83.900	16.100	96.648	3.352	93.59	0.950	bicubic
401	tf_efficientnetv2_s.in1k	384	83.896	16.104	96.698	3.302	21.46	1.000	bicubic
402	vit_base_patch16_rope_reg1_gap_256.sbb_in1k	256	83.890	16.110	96.674	3.326	86.43	0.950	bicubic
403	resnetrs200.tf_in1k	256	83.886	16.114	96.762	3.238	93.21	1.000	bicubic
404	hiera_small_224.mae_in1k_ft_in1k	224	83.886	16.114	96.680	3.320	35.01	0.900	bicubic
405	fastvit_ma36.apple_in1k	256	83.884	16.116	96.762	3.238	44.07	0.950	bicubic
406	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	384	83.882	16.118	97.116	2.884	236.34	1.000	bicubic
407	xcit_small_24_p16_224.fb_dist_in1k	224	83.878	16.122	96.734	3.266	47.67	1.000	bicubic
408	resnest200e.in1k	320	83.872	16.128	96.876	3.124	70.20	0.909	bicubic
409	xcit_small_24_p8_224.fb_in1k	224	83.854	16.146	96.636	3.364	47.63	1.000	bicubic
410	swinv2_small_window8_256.ms_in1k	256	83.844	16.156	96.650	3.350	49.73	0.900	bicubic
411	crossvit_15_dagger_408.in1k	408	83.840	16.160	96.780	3.220	28.50	1.000	bicubic
412	convnext_base.fb_in1k	224	83.834	16.166	96.746	3.254	88.59	0.875	bicubic
413	mobilenetv4_conv_aa_large.e600_r384_in1k	480	83.832	16.168	96.732	3.268	32.59	1.000	bicubic
414	efficientnetv2_rw_s.ra2_in1k	384	83.830	16.170	96.712	3.288	23.94	1.000	bicubic
415	tf_efficientnet_b5.ra_in1k	456	83.828	16.172	96.766	3.234	30.39	0.934	bicubic
416	focalnet_base_lrf.ms_in1k	224	83.828	16.172	96.614	3.386	88.75	0.900	bicubic
417	mobilenetv4_hybrid_large.e600_r384_in1k	384	83.822	16.178	96.768	3.232	37.76	0.950	bicubic
418	efficientvit_b3.r256_in1k	256	83.814	16.186	96.514	3.486	48.65	1.000	bicubic
419	vit_medium_patch16_rope_reg1_gap_256.sbb_in1k	256	83.812	16.188	96.822	3.178	38.74	0.950	bicubic
420	hgnet_small.ssld_in1k	224	83.810	16.190	96.868	3.132	24.36	0.965	bicubic
421	regnety_160.swag_lc_in1k	224	83.808	16.192	97.284	2.716	83.59	0.965	bicubic
422	focalnet_base_srf.ms_in1k	224	83.808	16.192	96.660	3.340	88.15	0.900	bicubic
423	vit_small_patch16_384.augreg_in21k_ft_in1k	384	83.804	16.196	97.108	2.892	22.20	1.000	bicubic
424	vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	256	83.802	16.198	96.958	3.042	22.52	0.950	bicubic
425	deit3_base_patch16_224.fb_in1k	224	83.794	16.206	96.582	3.418	86.59	0.900	bicubic
426	xcit_tiny_24_p8_384.fb_dist_in1k	384	83.784	16.216	96.716	3.284	12.11	1.000	bicubic
427	swin_s3_small_224.ms_in1k	224	83.778	16.222	96.460	3.540	49.74	0.900	bicubic
428	pit_b_distilled_224.in1k	224	83.774	16.226	96.468	3.532	74.79	0.900	bicubic
429	mvitv2_small.fb_in1k	224	83.772	16.228	96.558	3.442	34.87	0.900	bicubic
430	regnetz_040_h.ra3_in1k	256	83.768	16.232	96.692	3.308	28.94	1.000	bicubic
431	pvt_v2_b5.in1k	224	83.768	16.232	96.632	3.368	81.96	0.900	bicubic
432	convformer_s18.sail_in22k_ft_in1k	224	83.762	16.238	97.048	2.952	26.77	1.000	bicubic
433	regnetv_064.ra3_in1k	288	83.748	16.252	96.746	3.254	30.58	1.000	bicubic
434	repvit_m2_3.dist_450e_in1k	224	83.742	16.258	96.642	3.358	23.69	0.950	bicubic
435	xcit_medium_24_p8_224.fb_in1k	224	83.742	16.258	96.392	3.608	84.32	1.000	bicubic
436	regnety_064.ra3_in1k	288	83.712	16.288	96.728	3.272	30.58	1.000	bicubic
437	pvt_v2_b4.in1k	224	83.712	16.288	96.670	3.330	62.56	0.900	bicubic
438	resnetrs152.tf_in1k	320	83.710	16.290	96.610	3.390	86.62	1.000	bicubic
439	vit_betwixt_patch16_reg4_gap_256.sbb_in1k	256	83.708	16.292	96.618	3.382	60.40	0.950	bicubic
440	convnext_small.fb_in1k	288	83.704	16.296	96.816	3.184	50.22	1.000	bicubic
441	regnety_160.deit_in1k	288	83.700	16.300	96.786	3.214	83.59	1.000	bicubic
442	seresnext101d_32x8d.ah_in1k	224	83.700	16.300	96.590	3.410	93.59	0.950	bicubic
443	tf_efficientnet_b5.aa_in1k	456	83.696	16.304	96.714	3.286	30.39	0.934	bicubic
444	hgnetv2_b4.ssld_stage2_ft_in1k	224	83.694	16.306	96.788	3.212	19.80	0.965	bicubic
445	seresnet152d.ra2_in1k	256	83.694	16.306	96.784	3.216	66.84	0.950	bicubic
446	twins_svt_large.in1k	224	83.690	16.310	96.608	3.392	99.27	0.900	bicubic
447	resnet152d.ra2_in1k	320	83.684	16.316	96.750	3.250	60.21	1.000	bicubic
448	edgenext_base.usi_in1k	256	83.684	16.316	96.700	3.300	18.51	0.950	bicubic
449	hrnet_w48_ssld.paddle_in1k	224	83.678	16.322	96.848	3.152	77.47	0.950	bilinear
450	rdnet_small.nv_in1k	224	83.668	16.332	96.712	3.288	50.44	0.900	bicubic
451	caformer_s18.sail_in1k	224	83.668	16.332	96.520	3.480	26.34	1.000	bicubic
452	regnetz_040.ra3_in1k	256	83.660	16.340	96.684	3.316	27.12	1.000	bicubic
453	vit_betwixt_patch16_reg1_gap_256.sbb_in1k	256	83.644	16.356	96.546	3.454	60.40	0.950	bicubic
454	nextvit_large.bd_in1k	224	83.642	16.358	96.684	3.316	57.87	0.950	bicubic
455	efficientformerv2_l.snap_dist_in1k	224	83.640	16.360	96.540	3.460	26.32	0.950	bicubic
456	seresnext101_32x8d.ah_in1k	224	83.618	16.382	96.412	3.588	93.57	0.950	bicubic
457	coatnet_1_rw_224.sw_in1k	224	83.612	16.388	96.382	3.618	41.72	0.950	bicubic
458	swin_base_patch4_window7_224.ms_in1k	224	83.610	16.390	96.450	3.550	87.77	0.900	bicubic
459	coat_lite_medium.in1k	224	83.602	16.398	96.714	3.286	44.57	0.900	bicubic
460	resmlp_big_24_224.fb_distilled_in1k	224	83.594	16.406	96.654	3.346	129.14	0.875	bicubic
461	resnetrs270.tf_in1k	256	83.594	16.406	96.616	3.384	129.86	1.000	bicubic
462	inception_next_small.sail_in1k	224	83.584	16.416	96.598	3.402	49.37	0.875	bicubic
463	hgnetv2_b3.ssld_stage2_ft_in1k	288	83.580	16.420	96.814	3.186	16.29	1.000	bicubic
464	repvgg_d2se.rvgg_in1k	320	83.554	16.446	96.664	3.336	133.33	1.000	bilinear
465	regnetz_d8.ra3_in1k	256	83.548	16.452	96.746	3.254	23.37	0.940	bicubic
466	nest_base_jx.goog_in1k	224	83.546	16.454	96.366	3.634	67.72	0.875	bicubic
467	resnetaa101d.sw_in12k_ft_in1k	224	83.544	16.456	96.828	3.172	44.57	0.950	bicubic
468	cs3se_edgenet_x.c2ns_in1k	320	83.544	16.456	96.664	3.336	50.72	1.000	bicubic
469	repvit_m2_3.dist_300e_in1k	224	83.524	16.476	96.532	3.468	23.69	0.950	bicubic
470	maxvit_tiny_rw_224.sw_in1k	224	83.522	16.478	96.488	3.512	29.06	0.950	bicubic
471	focalnet_small_lrf.ms_in1k	224	83.508	16.492	96.586	3.414	50.34	0.900	bicubic
472	fastvit_sa36.apple_in1k	256	83.504	16.496	96.630	3.370	31.53	0.900	bicubic
473	nextvit_base.bd_in1k	224	83.496	16.504	96.646	3.354	44.82	0.950	bicubic
474	resnet152.a1h_in1k	288	83.494	16.506	96.522	3.478	60.19	1.000	bicubic
475	swinv2_cr_small_ns_224.sw_in1k	224	83.490	16.510	96.486	3.514	49.70	0.900	bicubic
476	cait_s24_224.fb_dist_in1k	224	83.484	16.516	96.586	3.414	46.92	1.000	bicubic
477	convnextv2_tiny.fcmae_ft_in1k	288	83.476	16.524	96.718	3.282	28.64	1.000	bicubic
478	efficientnet_b4.ra2_in1k	384	83.474	16.526	96.584	3.416	19.34	1.000	bicubic
479	dm_nfnet_f0.dm_in1k	256	83.470	16.530	96.568	3.432	71.49	0.900	bicubic
480	vit_medium_patch16_reg4_gap_256.sbb_in1k	256	83.468	16.532	96.622	3.378	38.88	0.950	bicubic
481	vit_medium_patch16_reg1_gap_256.sbb_in1k	256	83.458	16.542	96.522	3.478	38.88	0.950	bicubic
482	hgnetv2_b4.ssld_stage1_in22k_in1k	288	83.448	16.552	96.922	3.078	19.80	1.000	bicubic
483	dm_nfnet_f1.dm_in1k	224	83.444	16.556	96.634	3.366	132.63	0.910	bicubic
484	efficientvit_b3.r224_in1k	224	83.444	16.556	96.338	3.662	48.65	0.950	bicubic
485	focalnet_small_srf.ms_in1k	224	83.430	16.570	96.434	3.566	49.89	0.900	bicubic
486	deit3_small_patch16_384.fb_in1k	384	83.428	16.572	96.676	3.324	22.21	1.000	bicubic
487	regnetz_d32.ra3_in1k	256	83.428	16.572	96.636	3.364	27.58	0.950	bicubic
488	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	448	83.422	16.578	96.732	3.268	11.07	1.000	bicubic
489	maxvit_tiny_tf_224.in1k	224	83.422	16.578	96.590	3.410	30.92	0.950	bicubic
490	mobilenetv4_conv_large.e600_r384_in1k	448	83.418	16.582	96.612	3.388	32.59	1.000	bicubic
491	edgenext_base.in21k_ft_in1k	256	83.416	16.584	96.796	3.204	18.51	0.950	bicubic
492	mobilevitv2_200.cvnets_in22k_ft_in1k_384	384	83.410	16.590	96.572	3.428	18.45	1.000	bicubic
493	sequencer2d_l.in1k	224	83.410	16.590	96.504	3.496	54.30	0.875	bicubic
494	gcvit_tiny.in1k	224	83.400	16.600	96.392	3.608	28.22	0.875	bicubic
495	regnetz_d8_evos.ch_in1k	256	83.394	16.606	96.658	3.342	23.46	0.950	bicubic
496	deit_base_distilled_patch16_224.fb_in1k	224	83.388	16.612	96.490	3.510	87.34	0.900	bicubic
497	efficientformer_l7.snap_dist_in1k	224	83.386	16.614	96.538	3.462	82.23	0.950	bicubic
498	tf_efficientnetv2_s.in21k_ft_in1k	300	83.374	16.626	96.710	3.290	21.46	1.000	bicubic
499	convnextv2_nano.fcmae_ft_in22k_in1k_384	384	83.362	16.638	96.740	3.260	15.62	1.000	bicubic
500	fastvit_sa24.apple_dist_in1k	256	83.362	16.638	96.576	3.424	21.55	0.900	bicubic
501	xcit_small_12_p8_224.fb_in1k	224	83.356	16.644	96.474	3.526	26.21	1.000	bicubic
502	coatnet_rmlp_1_rw_224.sw_in1k	224	83.354	16.646	96.452	3.548	41.69	0.950	bicubic
503	xcit_small_12_p16_224.fb_dist_in1k	224	83.354	16.646	96.424	3.576	26.25	1.000	bicubic
504	vit_base_patch32_384.augreg_in21k_ft_in1k	384	83.352	16.648	96.832	3.168	88.30	1.000	bicubic
505	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	224	83.346	16.654	96.844	3.156	194.03	0.875	bilinear
506	swin_small_patch4_window7_224.ms_in22k_ft_in1k	224	83.330	16.670	96.996	3.004	49.61	0.900	bicubic
507	regnety_320.seer_ft_in1k	384	83.326	16.674	96.712	3.288	145.05	1.000	bicubic
508	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	224	83.306	16.694	96.530	3.470	88.22	0.900	bicubic
509	tiny_vit_21m_224.in1k	224	83.270	16.730	96.602	3.398	21.20	0.950	bicubic
510	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	224	83.268	16.732	96.760	3.240	44.18	0.875	bilinear
511	eca_nfnet_l1.ra2_in1k	256	83.264	16.736	96.674	3.326	41.41	0.900	bicubic
512	mobilenetv4_conv_aa_large.e600_r384_in1k	384	83.264	16.736	96.390	3.610	32.59	0.950	bicubic
513	tf_efficientnet_b4.ap_in1k	380	83.250	16.750	96.390	3.610	19.34	0.922	bicubic
514	resnet200d.ra2_in1k	256	83.240	16.760	96.546	3.454	64.69	0.950	bicubic
515	tiny_vit_11m_224.dist_in22k_ft_in1k	224	83.232	16.768	96.628	3.372	11.00	0.950	bicubic
516	swin_small_patch4_window7_224.ms_in1k	224	83.228	16.772	96.326	3.674	49.61	0.900	bicubic
517	regnetv_040.ra3_in1k	288	83.200	16.800	96.658	3.342	20.64	1.000	bicubic
518	xception65.ra3_in1k	299	83.184	16.816	96.598	3.402	39.92	0.940	bicubic
519	regnety_320.tv2_in1k	224	83.174	16.826	96.416	3.584	145.05	0.965	bicubic
520	tf_efficientnetv2_s.in1k	300	83.172	16.828	96.336	3.664	21.46	1.000	bicubic
521	rexnetr_200.sw_in12k_ft_in1k	288	83.170	16.830	96.650	3.350	16.52	1.000	bicubic
522	twins_pcpvt_large.in1k	224	83.168	16.832	96.610	3.390	60.99	0.900	bicubic
523	tf_efficientnet_b5.in1k	456	83.166	16.834	96.530	3.470	30.39	0.934	bicubic
524	xception65p.ra3_in1k	299	83.164	16.836	96.500	3.500	39.82	0.940	bicubic
525	regnety_080.ra3_in1k	224	83.162	16.838	96.478	3.522	39.18	0.950	bicubic
526	resnext101_64x4d.c1_in1k	288	83.158	16.842	96.370	3.630	83.46	1.000	bicubic
527	resnet152d.ra2_in1k	256	83.156	16.844	96.382	3.618	60.21	0.950	bicubic
528	convnext_small.fb_in1k	224	83.144	16.856	96.432	3.568	50.22	0.875	bicubic
529	swinv2_cr_small_224.sw_in1k	224	83.126	16.874	96.110	3.890	49.70	0.900	bicubic
530	twins_svt_base.in1k	224	83.124	16.876	96.428	3.572	56.07	0.900	bicubic
531	nest_small_jx.goog_in1k	224	83.122	16.878	96.334	3.666	38.35	0.875	bicubic
532	pvt_v2_b3.in1k	224	83.118	16.882	96.562	3.438	45.24	0.900	bicubic
533	regnetv_064.ra3_in1k	224	83.118	16.882	96.454	3.546	30.58	0.950	bicubic
534	deit_base_patch16_384.fb_in1k	384	83.116	16.884	96.366	3.634	86.86	1.000	bicubic
535	hgnetv2_b3.ssld_stage1_in22k_in1k	288	83.114	16.886	96.712	3.288	16.29	1.000	bicubic
536	maxxvitv2_nano_rw_256.sw_in1k	256	83.104	16.896	96.334	3.666	23.70	0.950	bicubic
537	tresnet_m.miil_in21k_ft_in1k	224	83.090	16.910	96.112	3.888	31.39	0.875	bilinear
538	deit3_medium_patch16_224.fb_in1k	224	83.086	16.914	96.286	3.714	38.85	0.900	bicubic
539	efficientvit_b2.r288_in1k	288	83.084	16.916	96.302	3.698	24.33	1.000	bicubic
540	deit3_small_patch16_224.fb_in22k_ft_in1k	224	83.082	16.918	96.780	3.220	22.06	1.000	bicubic
541	tresnet_xl.miil_in1k_448	448	83.066	16.934	96.180	3.820	78.44	0.875	bilinear
542	regnety_040.ra3_in1k	288	83.058	16.942	96.498	3.502	20.65	1.000	bicubic
543	tf_efficientnet_b4.aa_in1k	380	83.040	16.960	96.290	3.710	19.34	0.922	bicubic
544	maxxvit_rmlp_nano_rw_256.sw_in1k	256	83.026	16.974	96.344	3.656	16.78	0.950	bicubic
545	resnet101d.ra2_in1k	320	83.018	16.982	96.458	3.542	44.57	1.000	bicubic
546	regnety_064.ra3_in1k	224	83.006	16.994	96.296	3.704	30.58	0.950	bicubic
547	resnetv2_101.a1h_in1k	288	83.002	16.998	96.444	3.556	44.54	1.000	bicubic
548	ecaresnet101d.miil_in1k	288	82.998	17.002	96.524	3.476	44.57	0.950	bicubic
549	regnety_160.deit_in1k	224	82.994	17.006	96.500	3.500	83.59	0.950	bicubic
550	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	320	82.990	17.010	96.670	3.330	11.07	1.000	bicubic
551	maxvit_rmlp_nano_rw_256.sw_in1k	256	82.980	17.020	96.272	3.728	15.50	0.950	bicubic
552	resnext101_64x4d.tv_in1k	224	82.978	17.022	96.252	3.748	83.46	0.875	bilinear
553	mobilenetv4_conv_large.e600_r384_in1k	384	82.974	17.026	96.244	3.756	32.59	0.950	bicubic
554	convformer_s18.sail_in1k	224	82.968	17.032	96.244	3.756	26.77	1.000	bicubic
555	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	384	82.960	17.040	96.474	3.526	11.07	0.950	bicubic
556	convnextv2_tiny.fcmae_ft_in1k	224	82.948	17.052	96.286	3.714	28.64	0.875	bicubic
557	maxvit_nano_rw_256.sw_in1k	256	82.942	17.058	96.224	3.776	15.45	0.950	bicubic
558	mobilevitv2_175.cvnets_in22k_ft_in1k_384	384	82.928	17.072	96.452	3.548	14.25	1.000	bicubic
559	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	224	82.916	17.084	96.576	3.424	236.34	0.875	bicubic
560	resnest101e.in1k	256	82.916	17.084	96.310	3.690	48.28	0.875	bilinear
561	hgnetv2_b3.ssld_stage2_ft_in1k	224	82.910	17.090	96.362	3.638	16.29	0.965	bicubic
562	xcit_large_24_p16_224.fb_in1k	224	82.890	17.110	95.882	4.118	189.10	1.000	bicubic
563	convnext_tiny.fb_in22k_ft_in1k	224	82.888	17.112	96.628	3.372	28.59	0.875	bicubic
564	efficientnetv2_rw_s.ra2_in1k	288	82.888	17.112	96.328	3.672	23.94	1.000	bicubic
565	hgnetv2_b4.ssld_stage1_in22k_in1k	224	82.886	17.114	96.632	3.368	19.80	0.965	bicubic
566	resnetrs152.tf_in1k	256	82.886	17.114	96.286	3.714	86.62	1.000	bicubic
567	convnext_nano.in12k_ft_in1k	288	82.882	17.118	96.562	3.438	15.59	1.000	bicubic
568	sequencer2d_m.in1k	224	82.838	17.162	96.276	3.724	38.31	0.875	bicubic
569	resnext101_32x8d.tv2_in1k	224	82.832	17.168	96.232	3.768	88.79	0.965	bilinear
570	swinv2_tiny_window16_256.ms_in1k	256	82.828	17.172	96.222	3.778	28.35	0.900	bicubic
571	pnasnet5large.tf_in1k	331	82.828	17.172	96.038	3.962	86.06	0.911	bicubic
572	regnetx_320.tv2_in1k	224	82.824	17.176	96.202	3.798	107.81	0.965	bicubic
573	hiera_tiny_224.mae_in1k_ft_in1k	224	82.824	17.176	96.192	3.808	27.91	0.900	bicubic
574	resnetv2_50x1_bit.goog_distilled_in1k	224	82.820	17.180	96.526	3.474	25.55	0.875	bicubic
575	rdnet_tiny.nv_in1k	224	82.820	17.180	96.278	3.722	23.86	0.900	bicubic
576	resnet152.a1h_in1k	224	82.818	17.182	96.124	3.876	60.19	0.950	bicubic
577	resnet101.a1h_in1k	288	82.802	17.198	96.320	3.680	44.55	1.000	bicubic
578	rexnet_300.nav_in1k	224	82.780	17.220	96.234	3.766	34.71	0.875	bicubic
579	vit_relpos_base_patch16_clsgap_224.sw_in1k	224	82.762	17.238	96.178	3.822	86.43	0.900	bicubic
580	cs3se_edgenet_x.c2ns_in1k	256	82.760	17.240	96.306	3.694	50.72	0.950	bicubic
581	nfnet_l0.ra2_in1k	288	82.756	17.244	96.494	3.506	35.07	1.000	bicubic
582	cs3edgenet_x.c2_in1k	288	82.746	17.254	96.390	3.610	47.82	1.000	bicubic
583	resnet152.a1_in1k	288	82.744	17.256	95.720	4.280	60.19	1.000	bicubic
584	regnety_032.ra_in1k	288	82.724	17.276	96.424	3.576	19.44	1.000	bicubic
585	twins_pcpvt_base.in1k	224	82.722	17.278	96.348	3.652	43.83	0.900	bicubic
586	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	224	82.720	17.280	96.624	3.376	88.79	0.875	bilinear
587	efficientvit_b2.r256_in1k	256	82.712	17.288	96.092	3.908	24.33	1.000	bicubic
588	fastvit_sa24.apple_in1k	256	82.706	17.294	96.278	3.722	21.55	0.900	bicubic
589	davit_tiny.msft_in1k	224	82.698	17.302	96.284	3.716	28.36	0.950	bicubic
590	convnext_tiny.fb_in1k	288	82.694	17.306	96.144	3.856	28.59	1.000	bicubic
591	mobilenetv4_conv_large.e500_r256_in1k	320	82.674	17.326	96.316	3.684	32.59	1.000	bicubic
592	convnextv2_nano.fcmae_ft_in22k_in1k	288	82.666	17.334	96.546	3.454	15.62	1.000	bicubic
593	regnetz_c16.ra3_in1k	320	82.660	17.340	96.332	3.668	13.46	1.000	bicubic
594	efficientnet_b4.ra2_in1k	320	82.654	17.346	96.136	3.864	19.34	0.875	bicubic
595	cs3sedarknet_x.c2ns_in1k	288	82.650	17.350	96.348	3.652	35.40	1.000	bicubic
596	regnety_160.tv2_in1k	224	82.646	17.354	96.230	3.770	83.59	0.965	bicubic
597	resnetaa50d.sw_in12k_ft_in1k	288	82.644	17.356	96.490	3.510	25.58	1.000	bicubic
598	regnetz_c16_evos.ch_in1k	320	82.644	17.356	96.480	3.520	13.49	0.950	bicubic
599	nasnetalarge.tf_in1k	331	82.636	17.364	96.060	3.940	88.75	0.911	bicubic
600	tf_efficientnetv2_b3.in21k_ft_in1k	300	82.634	17.366	96.630	3.370	14.36	0.900	bicubic
601	xcit_medium_24_p16_224.fb_in1k	224	82.632	17.368	95.980	4.020	84.40	1.000	bicubic
602	vit_base_patch32_clip_224.laion2b_ft_in1k	224	82.630	17.370	96.204	3.796	88.22	0.900	bicubic
603	nextvit_small.bd_in1k	224	82.620	17.380	96.222	3.778	31.76	0.950	bicubic
604	resnet152.a2_in1k	288	82.620	17.380	95.744	4.256	60.19	1.000	bicubic
605	poolformerv2_m48.sail_in1k	224	82.612	17.388	96.068	3.932	73.35	1.000	bicubic
606	hgnetv2_b3.ssld_stage1_in22k_in1k	224	82.610	17.390	96.362	3.638	16.29	0.965	bicubic
607	rexnetr_200.sw_in12k_ft_in1k	224	82.608	17.392	96.392	3.608	16.52	0.950	bicubic
608	tf_efficientnet_b4.in1k	380	82.608	17.392	96.126	3.874	19.34	0.922	bicubic
609	convnext_tiny_hnf.a2h_in1k	288	82.608	17.392	96.024	3.976	28.59	1.000	bicubic
610	mobilevitv2_150.cvnets_in22k_ft_in1k_384	384	82.606	17.394	96.310	3.690	10.59	1.000	bicubic
611	levit_conv_384.fb_dist_in1k	224	82.600	17.400	96.020	3.980	39.13	0.900	bicubic
612	levit_384.fb_dist_in1k	224	82.598	17.402	96.016	3.984	39.13	0.900	bicubic
613	eca_nfnet_l0.ra2_in1k	288	82.596	17.404	96.490	3.510	24.14	1.000	bicubic
614	regnety_080_tv.tv2_in1k	224	82.592	17.408	96.244	3.756	39.38	0.965	bicubic
615	flexivit_small.1200ep_in1k	240	82.592	17.408	96.150	3.850	22.06	0.950	bicubic
616	xcit_tiny_24_p16_384.fb_dist_in1k	384	82.580	17.420	96.254	3.746	12.12	1.000	bicubic
617	xcit_tiny_24_p8_224.fb_dist_in1k	224	82.580	17.420	96.184	3.816	12.11	1.000	bicubic
618	xcit_small_24_p16_224.fb_in1k	224	82.580	17.420	96.000	4.000	47.67	1.000	bicubic
619	regnetx_160.tv2_in1k	224	82.576	17.424	96.056	3.944	54.28	0.965	bicubic
620	vit_relpos_medium_patch16_cls_224.sw_in1k	224	82.572	17.428	96.076	3.924	38.76	0.900	bicubic
621	efficientformer_l3.snap_dist_in1k	224	82.564	17.436	96.242	3.758	31.41	0.950	bicubic
622	hgnet_tiny.ssld_in1k	288	82.524	17.476	96.514	3.486	14.74	1.000	bicubic
623	resnet61q.ra2_in1k	288	82.524	17.476	96.134	3.866	36.85	1.000	bicubic
624	repvit_m1_5.dist_450e_in1k	224	82.520	17.480	96.110	3.890	14.64	0.950	bicubic
625	wide_resnet101_2.tv2_in1k	224	82.516	17.484	96.012	3.988	126.89	0.965	bilinear
626	vit_little_patch16_reg4_gap_256.sbb_in1k	256	82.514	17.486	96.260	3.740	22.52	0.950	bicubic
627	inception_next_tiny.sail_in1k	224	82.508	17.492	96.000	4.000	28.06	0.875	bicubic
628	crossvit_18_dagger_240.in1k	240	82.504	17.496	96.068	3.932	44.27	0.875	bicubic
629	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	320	82.496	17.504	96.280	3.720	11.07	1.000	bicubic
630	convnextv2_nano.fcmae_ft_in1k	288	82.496	17.504	96.228	3.772	15.62	1.000	bicubic
631	gc_efficientnetv2_rw_t.agc_in1k	288	82.480	17.520	96.300	3.700	13.68	1.000	bicubic
632	vit_relpos_base_patch16_224.sw_in1k	224	82.476	17.524	96.144	3.856	86.43	0.900	bicubic
633	vit_relpos_medium_patch16_224.sw_in1k	224	82.466	17.534	96.084	3.916	38.75	0.900	bicubic
634	poolformer_m48.sail_in1k	224	82.462	17.538	95.968	4.032	73.47	0.950	bicubic
635	pit_b_224.in1k	224	82.460	17.540	95.708	4.292	73.76	0.900	bicubic
636	regnetv_040.ra3_in1k	224	82.448	17.552	96.204	3.796	20.64	0.950	bicubic
637	resnext101_64x4d.c1_in1k	224	82.446	17.554	95.920	4.080	83.46	0.950	bicubic
638	tf_efficientnet_b2.ns_jft_in1k	260	82.412	17.588	96.234	3.766	9.11	0.890	bicubic
639	mvitv2_tiny.fb_in1k	224	82.408	17.592	96.150	3.850	24.17	0.900	bicubic
640	coatnet_bn_0_rw_224.sw_in1k	224	82.394	17.606	96.194	3.806	27.44	0.950	bicubic
641	coatnet_0_rw_224.sw_in1k	224	82.394	17.606	95.844	4.156	27.44	0.950	bicubic
642	xcit_tiny_12_p8_384.fb_dist_in1k	384	82.392	17.608	96.214	3.786	6.71	1.000	bicubic
643	flexivit_small.600ep_in1k	240	82.392	17.608	96.040	3.960	22.06	0.950	bicubic
644	crossvit_18_240.in1k	240	82.386	17.614	96.066	3.934	43.27	0.875	bicubic
645	repvit_m1_5.dist_300e_in1k	224	82.382	17.618	96.026	3.974	14.64	0.950	bicubic
646	coat_small.in1k	224	82.376	17.624	96.214	3.786	21.69	0.900	bicubic
647	ecaresnet50t.ra2_in1k	320	82.370	17.630	96.120	3.880	25.57	0.950	bicubic
648	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	256	82.362	17.638	96.256	3.744	11.07	0.950	bicubic
649	hgnetv2_b2.ssld_stage2_ft_in1k	288	82.360	17.640	96.404	3.596	11.22	1.000	bicubic
650	resnet51q.ra2_in1k	288	82.356	17.644	96.178	3.822	35.70	1.000	bilinear
651	efficientnetv2_rw_t.ra2_in1k	288	82.354	17.646	96.178	3.822	13.65	1.000	bicubic
652	sequencer2d_s.in1k	224	82.336	17.664	96.032	3.968	27.65	0.875	bicubic
653	resnetv2_101x1_bit.goog_in21k_ft_in1k	448	82.332	17.668	96.526	3.474	44.54	1.000	bilinear
654	mobilevitv2_200.cvnets_in22k_ft_in1k	256	82.322	17.678	95.940	4.060	18.45	0.888	bicubic
655	resnet101.a1_in1k	288	82.322	17.678	95.628	4.372	44.55	1.000	bicubic
656	regnety_040.ra3_in1k	224	82.316	17.684	96.076	3.924	20.65	0.950	bicubic
657	mixer_b16_224.miil_in21k_ft_in1k	224	82.310	17.690	95.714	4.286	59.88	0.875	bilinear
658	vit_relpos_medium_patch16_rpn_224.sw_in1k	224	82.308	17.692	95.982	4.018	38.73	0.900	bicubic
659	convnext_nano.in12k_ft_in1k	224	82.306	17.694	96.338	3.662	15.59	0.950	bicubic
660	crossvit_15_dagger_240.in1k	240	82.306	17.694	95.968	4.032	28.21	0.875	bicubic
661	coat_lite_small.in1k	224	82.302	17.698	95.834	4.166	19.84	0.900	bicubic
662	efficientnet_b3.ra2_in1k	320	82.298	17.702	96.128	3.872	12.23	1.000	bicubic
663	resnet152.tv2_in1k	224	82.294	17.706	96.000	4.000	60.19	0.965	bilinear
664	resnetrs101.tf_in1k	288	82.294	17.706	96.000	4.000	63.62	0.940	bicubic
665	convit_base.fb_in1k	224	82.294	17.706	95.938	4.062	86.54	0.875	bicubic
666	tresnet_l.miil_in1k_448	448	82.278	17.722	95.988	4.012	55.99	0.875	bilinear
667	wide_resnet50_2.racm_in1k	288	82.266	17.734	96.062	3.938	68.88	0.950	bicubic
668	resnet101d.ra2_in1k	256	82.252	17.748	96.068	3.932	44.57	0.950	bicubic
669	vit_srelpos_medium_patch16_224.sw_in1k	224	82.250	17.750	95.928	4.072	38.74	0.900	bicubic
670	cs3darknet_x.c2ns_in1k	288	82.236	17.764	96.232	3.768	35.05	1.000	bicubic
671	convnext_tiny_hnf.a2h_in1k	224	82.230	17.770	95.860	4.140	28.59	0.950	bicubic
672	crossvit_base_240.in1k	240	82.228	17.772	95.814	4.186	105.03	0.875	bicubic
673	resnet101.a2_in1k	288	82.224	17.776	95.738	4.262	44.55	1.000	bicubic
674	vit_base_patch16_rpn_224.sw_in1k	224	82.216	17.784	95.998	4.002	86.54	0.900	bicubic
675	hgnet_small.paddle_in1k	288	82.214	17.786	96.224	3.776	24.36	1.000	bicubic
676	cs3edgenet_x.c2_in1k	256	82.214	17.786	95.938	4.062	47.82	0.887	bicubic
677	poolformerv2_m36.sail_in1k	224	82.214	17.786	95.896	4.104	56.08	1.000	bicubic
678	cait_xxs36_384.fb_dist_in1k	384	82.208	17.792	96.150	3.850	17.37	1.000	bicubic
679	pvt_v2_b2_li.in1k	224	82.202	17.798	96.110	3.890	22.55	0.900	bicubic
680	seresnext50_32x4d.racm_in1k	288	82.186	17.814	96.148	3.852	27.56	0.950	bicubic
681	ecaresnet101d.miil_in1k	224	82.186	17.814	96.062	3.938	44.57	0.875	bicubic
682	focalnet_tiny_lrf.ms_in1k	224	82.174	17.826	95.948	4.052	28.65	0.900	bicubic
683	flexivit_small.300ep_in1k	240	82.170	17.830	96.026	3.974	22.06	0.950	bicubic
684	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	224	82.162	17.838	96.224	3.776	25.03	0.875	bilinear
685	efficientvit_b2.r224_in1k	224	82.162	17.838	95.710	4.290	24.33	0.950	bicubic
686	regnetz_c16.ra3_in1k	256	82.160	17.840	96.054	3.946	13.46	0.940	bicubic
687	efficientformerv2_s2.snap_dist_in1k	224	82.150	17.850	95.912	4.088	12.71	0.950	bicubic
688	focalnet_tiny_srf.ms_in1k	224	82.144	17.856	95.970	4.030	28.43	0.900	bicubic
689	swin_s3_tiny_224.ms_in1k	224	82.128	17.872	95.958	4.042	28.33	0.900	bicubic
690	ecaresnet50t.a1_in1k	288	82.112	17.888	95.654	4.346	25.57	1.000	bicubic
691	poolformer_m36.sail_in1k	224	82.104	17.896	95.698	4.302	56.17	0.950	bicubic
692	visformer_small.in1k	224	82.096	17.904	95.876	4.124	40.22	0.900	bicubic
693	pvt_v2_b2.in1k	224	82.094	17.906	95.956	4.044	25.36	0.900	bicubic
694	halo2botnet50ts_256.a1h_in1k	256	82.084	17.916	95.658	4.342	22.64	0.950	bicubic
695	convnext_tiny.fb_in1k	224	82.066	17.934	95.854	4.146	28.59	0.875	bicubic
696	tresnet_xl.miil_in1k	224	82.064	17.936	95.930	4.070	78.44	0.875	bilinear
697	coatnet_rmlp_nano_rw_224.sw_in1k	224	82.062	17.938	95.870	4.130	15.15	0.900	bicubic
698	hrnet_w18_ssld.paddle_in1k	288	82.048	17.952	96.244	3.756	21.30	1.000	bilinear
699	resnetv2_101.a1h_in1k	224	82.042	17.958	95.866	4.134	44.54	0.950	bicubic
700	fbnetv3_g.ra2_in1k	288	82.040	17.960	96.064	3.936	16.62	0.950	bilinear
701	convnextv2_nano.fcmae_ft_in22k_in1k	224	82.038	17.962	96.174	3.826	15.62	0.875	bicubic
702	resnext50_32x4d.a1h_in1k	288	82.012	17.988	95.932	4.068	25.03	1.000	bicubic
703	ecaresnet101d_pruned.miil_in1k	288	82.006	17.994	96.164	3.836	24.88	0.950	bicubic
704	resnetv2_50d_evos.ah_in1k	288	82.000	18.000	95.898	4.102	25.59	1.000	bicubic
705	coatnext_nano_rw_224.sw_in1k	224	81.998	18.002	95.888	4.112	14.70	0.900	bicubic
706	resnet152.a1_in1k	224	81.998	18.002	95.294	4.706	60.19	0.950	bicubic
707	resnext101_32x8d.tv2_in1k	176	81.990	18.010	95.716	4.284	88.79	0.875	bilinear
708	xcit_small_12_p16_224.fb_in1k	224	81.982	18.018	95.814	4.186	26.25	1.000	bicubic
709	xception41p.ra3_in1k	299	81.980	18.020	95.788	4.212	26.91	0.940	bicubic
710	deit_base_patch16_224.fb_in1k	224	81.980	18.020	95.742	4.258	86.57	0.900	bicubic
711	gcvit_xtiny.in1k	224	81.968	18.032	95.966	4.034	19.98	0.875	bicubic
712	resnet61q.ra2_in1k	256	81.966	18.034	95.852	4.148	36.85	0.900	bicubic
713	resnetv2_50d_gn.ah_in1k	288	81.962	18.038	95.936	4.064	25.57	1.000	bicubic
714	tf_efficientnetv2_b3.in1k	300	81.960	18.040	95.774	4.226	14.36	0.904	bicubic
715	resnet101.a1h_in1k	224	81.950	18.050	95.760	4.240	44.55	0.950	bicubic
716	vit_base_patch32_clip_224.openai_ft_in1k	224	81.946	18.054	95.974	4.026	88.22	0.900	bicubic
717	mobilevitv2_175.cvnets_in22k_ft_in1k	256	81.944	18.056	95.794	4.206	14.25	0.888	bicubic
718	regnetz_c16_evos.ch_in1k	256	81.942	18.058	96.150	3.850	13.49	0.950	bicubic
719	regnety_032.ra_in1k	224	81.942	18.058	95.970	4.030	19.44	0.950	bicubic
720	hgnet_tiny.ssld_in1k	224	81.940	18.060	96.114	3.886	14.74	0.965	bicubic
721	cs3sedarknet_x.c2ns_in1k	256	81.926	18.074	96.022	3.978	35.40	0.887	bicubic
722	resnet101.tv2_in1k	224	81.906	18.094	95.768	4.232	44.55	0.965	bilinear
723	xcit_tiny_24_p8_224.fb_in1k	224	81.890	18.110	95.980	4.020	12.11	1.000	bicubic
724	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	224	81.880	18.120	96.100	3.900	194.03	0.875	bilinear
725	nfnet_l0.ra2_in1k	224	81.868	18.132	96.036	3.964	35.07	0.900	bicubic
726	mobilenetv4_conv_large.e500_r256_in1k	256	81.864	18.136	95.696	4.304	32.59	0.950	bicubic
727	cs3darknet_x.c2ns_in1k	256	81.856	18.144	95.956	4.044	35.05	0.950	bicubic
728	convnextv2_nano.fcmae_ft_in1k	224	81.856	18.144	95.740	4.260	15.62	0.875	bicubic
729	tf_efficientnet_b3.ap_in1k	300	81.854	18.146	95.608	4.392	12.23	0.904	bicubic
730	vit_small_r26_s32_224.augreg_in21k_ft_in1k	224	81.844	18.156	96.024	3.976	36.43	0.900	bicubic
731	pit_s_distilled_224.in1k	224	81.842	18.158	95.724	4.276	24.04	0.900	bicubic
732	fastvit_sa12.apple_dist_in1k	256	81.842	18.158	95.700	4.300	11.58	0.900	bicubic
733	resnet50d.ra4_e3600_r224_in1k	288	81.830	18.170	95.920	4.080	25.58	1.000	bicubic
734	swinv2_tiny_window8_256.ms_in1k	256	81.824	18.176	95.988	4.012	28.35	0.900	bicubic
735	regnety_032.tv2_in1k	224	81.798	18.202	95.846	4.154	19.44	0.965	bicubic
736	swinv2_cr_tiny_ns_224.sw_in1k	224	81.796	18.204	95.824	4.176	28.33	0.900	bicubic
737	vit_base_patch16_224.orig_in21k_ft_in1k	224	81.786	18.214	96.124	3.876	86.57	0.900	bicubic
738	resnetaa50d.sw_in12k_ft_in1k	224	81.782	18.218	96.036	3.964	25.58	0.950	bicubic
739	resnet51q.ra2_in1k	256	81.778	18.222	95.950	4.050	35.70	0.875	bilinear
740	cs3sedarknet_l.c2ns_in1k	288	81.766	18.234	95.966	4.034	21.91	0.950	bicubic
741	eca_nfnet_l0.ra2_in1k	224	81.764	18.236	95.998	4.002	24.14	0.900	bicubic
742	resnet152.a2_in1k	224	81.764	18.236	95.270	4.730	60.19	0.950	bicubic
743	tresnet_m.miil_in1k_448	448	81.710	18.290	95.562	4.438	31.39	0.875	bilinear
744	coatnet_nano_rw_224.sw_in1k	224	81.704	18.296	95.650	4.350	15.14	0.900	bicubic
745	twins_svt_small.in1k	224	81.692	18.308	95.668	4.332	24.06	0.900	bicubic
746	ecaresnet50t.a2_in1k	288	81.682	18.318	95.532	4.468	25.57	1.000	bicubic
747	halonet50ts.a1h_in1k	256	81.650	18.350	95.614	4.386	22.73	0.940	bicubic
748	tf_efficientnet_b3.aa_in1k	300	81.648	18.352	95.724	4.276	12.23	0.904	bicubic
749	ecaresnet50d.miil_in1k	288	81.640	18.360	95.886	4.114	25.58	0.950	bicubic
750	rexnet_200.nav_in1k	224	81.640	18.360	95.668	4.332	16.37	0.875	bicubic
751	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	224	81.620	18.380	96.036	3.964	88.79	0.875	bilinear
752	convnext_nano_ols.d1h_in1k	288	81.612	18.388	95.626	4.374	15.65	1.000	bicubic
753	resnetaa50.a1h_in1k	288	81.604	18.396	95.808	4.192	25.56	1.000	bicubic
754	wide_resnet50_2.tv2_in1k	224	81.598	18.402	95.764	4.236	68.88	0.965	bilinear
755	poolformerv2_s36.sail_in1k	224	81.576	18.424	95.680	4.320	30.79	1.000	bicubic
756	edgenext_small.usi_in1k	320	81.572	18.428	95.712	4.288	5.59	1.000	bicubic
757	hgnetv2_b2.ssld_stage2_ft_in1k	224	81.566	18.434	95.898	4.102	11.22	0.965	bicubic
758	regnetx_080.tv2_in1k	224	81.560	18.440	95.542	4.458	39.57	0.965	bicubic
759	lamhalobotnet50ts_256.a1h_in1k	256	81.548	18.452	95.494	4.506	22.57	0.950	bicubic
760	tf_efficientnet_lite4.in1k	380	81.546	18.454	95.666	4.334	13.01	0.920	bilinear
761	tiny_vit_11m_224.in1k	224	81.538	18.462	95.870	4.130	11.00	0.950	bicubic
762	tnt_s_patch16_224	224	81.528	18.472	95.734	4.266	23.76	0.900	bicubic
763	crossvit_15_240.in1k	240	81.518	18.482	95.696	4.304	27.53	0.875	bicubic
764	vit_large_patch32_384.orig_in21k_ft_in1k	384	81.506	18.494	96.088	3.912	306.63	1.000	bicubic
765	levit_conv_256.fb_dist_in1k	224	81.506	18.494	95.488	4.512	18.89	0.900	bicubic
766	levit_256.fb_dist_in1k	224	81.506	18.494	95.466	4.534	18.89	0.900	bicubic
767	tresnet_l.miil_in1k	224	81.498	18.502	95.652	4.348	55.99	0.875	bilinear
768	repvit_m3.dist_in1k	224	81.494	18.506	95.562	4.438	10.68	0.950	bicubic
769	resnet101.a1_in1k	224	81.494	18.506	95.164	4.836	44.55	0.950	bicubic
770	wide_resnet50_2.racm_in1k	224	81.488	18.512	95.544	4.456	68.88	0.875	bicubic
771	resnext50_32x4d.a1_in1k	288	81.484	18.516	95.162	4.838	25.03	1.000	bicubic
772	vit_relpos_small_patch16_224.sw_in1k	224	81.476	18.524	95.824	4.176	21.98	0.900	bicubic
773	efficientnet_b3.ra2_in1k	288	81.474	18.526	95.712	4.288	12.23	0.875	bicubic
774	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	256	81.474	18.526	95.692	4.308	11.07	0.950	bicubic
775	convnext_nano.d1h_in1k	288	81.474	18.526	95.670	4.330	15.59	1.000	bicubic
776	mobilevitv2_150.cvnets_in22k_ft_in1k	256	81.470	18.530	95.672	4.328	10.59	0.888	bicubic
777	hgnetv2_b2.ssld_stage1_in22k_in1k	288	81.460	18.540	96.008	3.992	11.22	1.000	bicubic
778	gcresnet50t.ra2_in1k	288	81.458	18.542	95.722	4.278	25.90	1.000	bicubic
779	ecaresnet50t.ra2_in1k	256	81.446	18.554	95.678	4.322	25.57	0.875	bicubic
780	resnet50d.a1_in1k	288	81.444	18.556	95.224	4.776	25.58	1.000	bicubic
781	dm_nfnet_f0.dm_in1k	192	81.438	18.562	95.678	4.322	71.49	0.900	bicubic
782	efficientnet_b1.ra4_e3600_r240_in1k	288	81.434	18.566	95.696	4.304	7.79	1.000	bicubic
783	poolformer_s36.sail_in1k	224	81.432	18.568	95.444	4.556	30.86	0.900	bicubic
784	nest_tiny_jx.goog_in1k	224	81.428	18.572	95.626	4.374	17.06	0.875	bicubic
785	hgnet_small.paddle_in1k	224	81.426	18.574	95.846	4.154	24.36	0.965	bicubic
786	ecaresnetlight.miil_in1k	288	81.416	18.584	95.794	4.206	30.16	0.950	bicubic
787	vit_small_patch16_224.augreg_in21k_ft_in1k	224	81.414	18.586	96.150	3.850	22.05	0.900	bicubic
788	convit_small.fb_in1k	224	81.414	18.586	95.736	4.264	27.78	0.875	bicubic
789	resnetv2_50.a1h_in1k	288	81.408	18.592	95.712	4.288	25.55	1.000	bicubic
790	tf_efficientnet_b1.ns_jft_in1k	240	81.388	18.612	95.758	4.242	7.79	0.882	bicubic
791	swin_tiny_patch4_window7_224.ms_in1k	224	81.388	18.612	95.540	4.460	28.29	0.900	bicubic
792	gernet_l.idstcv_in1k	256	81.374	18.626	95.552	4.448	31.08	0.875	bilinear
793	deit3_small_patch16_224.fb_in1k	224	81.374	18.626	95.454	4.546	22.06	0.900	bicubic
794	efficientnetv2_rw_t.ra2_in1k	224	81.372	18.628	95.552	4.448	13.65	1.000	bicubic
795	convmixer_1536_20.in1k	224	81.370	18.630	95.630	4.370	51.63	0.960	bicubic
796	resnet50d.ra2_in1k	288	81.350	18.650	95.742	4.258	25.58	0.950	bicubic
797	resnet101.a2_in1k	224	81.344	18.656	95.198	4.802	44.55	0.950	bicubic
798	legacy_senet154.in1k	224	81.326	18.674	95.496	4.504	115.09	0.875	bilinear
799	efficientnet_el.ra_in1k	300	81.306	18.694	95.540	4.460	10.59	0.904	bicubic
800	coat_mini.in1k	224	81.304	18.696	95.388	4.612	10.34	0.900	bicubic
801	repvit_m1_1.dist_450e_in1k	224	81.302	18.698	95.572	4.428	8.80	0.950	bicubic
802	resnext50_32x4d.a2_in1k	288	81.298	18.702	95.110	4.890	25.03	1.000	bicubic
803	mobilenetv4_hybrid_medium.e500_r224_in1k	256	81.284	18.716	95.740	4.260	11.07	1.000	bicubic
804	ecaresnet50t.a1_in1k	224	81.284	18.716	95.150	4.850	25.57	0.950	bicubic
805	seresnet50.ra2_in1k	288	81.282	18.718	95.652	4.348	28.09	0.950	bicubic
806	seresnext50_32x4d.racm_in1k	224	81.268	18.732	95.626	4.374	27.56	0.875	bicubic
807	gc_efficientnetv2_rw_t.agc_in1k	224	81.268	18.732	95.574	4.426	13.68	1.000	bicubic
808	senet154.gluon_in1k	224	81.258	18.742	95.358	4.642	115.09	0.875	bicubic
809	res2net101d.in1k	224	81.254	18.746	95.348	4.652	45.23	0.875	bilinear
810	fbnetv3_g.ra2_in1k	240	81.252	18.748	95.682	4.318	16.62	0.950	bilinear
811	resnet50.a1_in1k	288	81.240	18.760	95.112	4.888	25.56	1.000	bicubic
812	gcresnext50ts.ch_in1k	288	81.234	18.766	95.536	4.464	15.67	1.000	bicubic
813	cs3sedarknet_l.c2ns_in1k	256	81.220	18.780	95.806	4.194	21.91	0.887	bicubic
814	deit_small_distilled_patch16_224.fb_in1k	224	81.216	18.784	95.380	4.620	22.44	0.900	bicubic
815	xcit_tiny_12_p8_224.fb_dist_in1k	224	81.212	18.788	95.616	4.384	6.71	1.000	bicubic
816	resnet50_gn.a1h_in1k	288	81.208	18.792	95.632	4.368	25.56	0.950	bicubic
817	lambda_resnet50ts.a1h_in1k	256	81.186	18.814	95.096	4.904	21.54	0.950	bicubic
818	resnext50_32x4d.tv2_in1k	224	81.176	18.824	95.348	4.652	25.03	0.965	bilinear
819	resnet50d.a2_in1k	288	81.168	18.832	95.100	4.900	25.58	1.000	bicubic
820	sebotnet33ts_256.a1h_in1k	256	81.152	18.848	95.160	4.840	13.70	0.940	bicubic
821	resmlp_36_224.fb_distilled_in1k	224	81.150	18.850	95.508	4.492	44.69	0.875	bicubic
822	mobilevitv2_200.cvnets_in1k	256	81.148	18.852	95.382	4.618	18.45	0.888	bicubic
823	resnet50.fb_swsl_ig1b_ft_in1k	224	81.146	18.854	95.980	4.020	25.56	0.875	bilinear
824	resnest50d_4s2x40d.in1k	224	81.146	18.854	95.566	4.434	30.42	0.875	bicubic
825	resnext50_32x4d.a1h_in1k	224	81.140	18.860	95.320	4.680	25.03	0.950	bicubic
826	vit_small_patch16_384.augreg_in1k	384	81.134	18.866	95.576	4.424	22.20	1.000	bicubic
827	hrnet_w18_ssld.paddle_in1k	224	81.132	18.868	95.634	4.366	21.30	0.950	bilinear
828	pit_s_224.in1k	224	81.126	18.874	95.328	4.672	23.46	0.900	bicubic
829	twins_pcpvt_small.in1k	224	81.122	18.878	95.616	4.384	24.11	0.900	bicubic
830	vit_srelpos_small_patch16_224.sw_in1k	224	81.108	18.892	95.580	4.420	21.97	0.900	bicubic
831	seresnet50.a1_in1k	288	81.104	18.896	95.120	4.880	28.09	1.000	bicubic
832	vit_base_patch16_384.augreg_in1k	384	81.096	18.904	95.334	4.666	86.86	1.000	bicubic
833	seresnet50.a2_in1k	288	81.092	18.908	95.236	4.764	28.09	1.000	bicubic
834	tf_efficientnetv2_b3.in21k_ft_in1k	240	81.076	18.924	95.920	4.080	14.36	0.900	bicubic
835	fastvit_s12.apple_dist_in1k	256	81.074	18.926	95.278	4.722	9.47	0.900	bicubic
836	edgenext_small.usi_in1k	256	81.064	18.936	95.330	4.670	5.59	0.950	bicubic
837	convnextv2_pico.fcmae_ft_in1k	288	81.056	18.944	95.478	4.522	9.07	0.950	bicubic
838	haloregnetz_b.ra3_in1k	224	81.052	18.948	95.200	4.800	11.68	0.940	bicubic
839	resnet152s.gluon_in1k	224	81.048	18.952	95.442	4.558	60.32	0.875	bicubic
840	crossvit_small_240.in1k	240	81.040	18.960	95.468	4.532	26.86	0.875	bicubic
841	resmlp_big_24_224.fb_in1k	224	81.034	18.966	95.026	4.974	129.14	0.875	bicubic
842	resnest50d_1s4x24d.in1k	224	81.018	18.982	95.336	4.664	25.68	0.875	bicubic
843	resnet50.d_in1k	288	81.012	18.988	95.456	4.544	25.56	1.000	bicubic
844	sehalonet33ts.ra2_in1k	256	80.972	19.028	95.272	4.728	13.69	0.940	bicubic
845	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	224	80.966	19.034	96.020	3.980	28.29	0.900	bicubic
846	cait_xxs24_384.fb_dist_in1k	384	80.962	19.038	95.642	4.358	12.03	1.000	bicubic
847	resnest50d.in1k	224	80.958	19.042	95.372	4.628	27.48	0.875	bilinear
848	resnet50d.ra4_e3600_r224_in1k	224	80.956	19.044	95.380	4.620	25.58	0.950	bicubic
849	xcit_tiny_12_p16_384.fb_dist_in1k	384	80.952	19.048	95.432	4.568	6.72	1.000	bicubic
850	gcresnet50t.ra2_in1k	256	80.950	19.050	95.464	4.536	25.90	0.900	bicubic
851	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	224	80.936	19.064	95.732	4.268	44.18	0.875	bilinear
852	resnet50.c1_in1k	288	80.928	19.072	95.554	4.446	25.56	1.000	bicubic
853	regnetx_032.tv2_in1k	224	80.926	19.074	95.268	4.732	15.30	0.965	bicubic
854	cs3darknet_focus_l.c2ns_in1k	288	80.910	19.090	95.678	4.322	21.15	0.950	bicubic
855	convnext_nano_ols.d1h_in1k	224	80.906	19.094	95.254	4.746	15.65	0.950	bicubic
856	cs3darknet_l.c2ns_in1k	288	80.888	19.112	95.662	4.338	21.16	0.950	bicubic
857	seresnext101_64x4d.gluon_in1k	224	80.886	19.114	95.308	4.692	88.23	0.875	bicubic
858	seresnext101_32x4d.gluon_in1k	224	80.886	19.114	95.268	4.732	48.96	0.875	bicubic
859	ecaresnet50t.a2_in1k	224	80.884	19.116	95.022	4.978	25.57	0.950	bicubic
860	mobilenetv4_conv_medium.e500_r256_in1k	320	80.880	19.120	95.762	4.238	9.72	1.000	bicubic
861	tf_efficientnet_b3.in1k	300	80.880	19.120	95.326	4.674	12.23	0.904	bicubic
862	mobilevitv2_175.cvnets_in1k	256	80.874	19.126	95.260	4.740	14.25	0.888	bicubic
863	efficientnet_b3_pruned.in1k	300	80.872	19.128	95.272	4.728	9.86	0.904	bicubic
864	tiny_vit_5m_224.dist_in22k_ft_in1k	224	80.862	19.138	95.672	4.328	5.39	0.950	bicubic
865	resnet50.c2_in1k	288	80.856	19.144	95.526	4.474	25.56	1.000	bicubic
866	resnet50.tv2_in1k	224	80.844	19.156	95.420	4.580	25.56	0.965	bilinear
867	fastvit_sa12.apple_in1k	256	80.840	19.160	95.344	4.656	11.58	0.900	bicubic
868	resnetv2_50d_evos.ah_in1k	224	80.828	19.172	95.270	4.730	25.59	0.950	bicubic
869	repvit_m1_1.dist_300e_in1k	224	80.826	19.174	95.174	4.826	8.80	0.950	bicubic
870	tresnet_m.miil_in1k	224	80.816	19.184	94.862	5.138	31.39	0.875	bilinear
871	ecaresnet101d_pruned.miil_in1k	224	80.814	19.186	95.620	4.380	24.88	0.875	bicubic
872	seresnet33ts.ra2_in1k	288	80.814	19.186	95.346	4.654	19.78	1.000	bicubic
873	ecaresnet50d_pruned.miil_in1k	288	80.808	19.192	95.578	4.422	19.94	0.950	bicubic
874	regnety_320.pycls_in1k	224	80.796	19.204	95.240	4.760	145.05	0.875	bicubic
875	resnetv2_50d_gn.ah_in1k	224	80.794	19.206	95.356	4.644	25.57	0.950	bicubic
876	resnet50.a2_in1k	288	80.780	19.220	94.978	5.022	25.56	1.000	bicubic
877	resmlp_24_224.fb_distilled_in1k	224	80.766	19.234	95.220	4.780	30.02	0.875	bicubic
878	convnext_nano.d1h_in1k	224	80.762	19.238	95.332	4.668	15.59	0.950	bicubic
879	poolformerv2_s24.sail_in1k	224	80.752	19.248	95.318	4.682	21.34	1.000	bicubic
880	hgnetv2_b2.ssld_stage1_in22k_in1k	224	80.746	19.254	95.498	4.502	11.22	0.965	bicubic
881	regnetz_b16.ra3_in1k	288	80.738	19.262	95.530	4.470	9.72	1.000	bicubic
882	vit_base_patch32_224.augreg_in21k_ft_in1k	224	80.736	19.264	95.570	4.430	88.22	0.900	bicubic
883	resnet50d.a1_in1k	224	80.730	19.270	94.678	5.322	25.58	0.950	bicubic
884	gernet_m.idstcv_in1k	224	80.726	19.274	95.184	4.816	21.14	0.875	bilinear
885	eca_resnet33ts.ra2_in1k	288	80.716	19.284	95.382	4.618	19.68	1.000	bicubic
886	tf_efficientnetv2_b3.in1k	240	80.712	19.288	95.176	4.824	14.36	0.904	bicubic
887	resnetrs101.tf_in1k	192	80.710	19.290	95.238	4.762	63.62	0.940	bicubic
888	resnet50.b1k_in1k	288	80.706	19.294	95.432	4.568	25.56	1.000	bicubic
889	resnext50_32x4d.ra_in1k	288	80.706	19.294	95.358	4.642	25.03	0.950	bicubic
890	regnety_016.tv2_in1k	224	80.696	19.304	95.340	4.660	11.20	0.965	bicubic
891	mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k	256	80.684	19.316	95.442	4.558	8.46	0.950	bicubic
892	mobilenet_edgetpu_v2_m	256	80.682	19.318	95.444	4.556	8.46	0.950	bicubic
893	resnext50d_32x4d.bt_in1k	288	80.680	19.320	95.428	4.572	25.05	0.950	bicubic
894	eva02_tiny_patch14_336.mim_in22k_ft_in1k	336	80.672	19.328	95.526	4.474	5.76	1.000	bicubic
895	nf_resnet50.ra2_in1k	288	80.656	19.344	95.340	4.660	25.56	0.940	bicubic
896	resnet50.a1h_in1k	224	80.652	19.348	95.312	4.688	25.56	1.000	bicubic
897	hgnet_tiny.paddle_in1k	288	80.648	19.352	95.542	4.458	14.74	1.000	bicubic
898	resnext101_64x4d.gluon_in1k	224	80.640	19.360	95.000	5.000	83.46	0.875	bicubic
899	ecaresnet50d.miil_in1k	224	80.618	19.382	95.312	4.688	25.58	0.875	bicubic
900	resnetaa50.a1h_in1k	224	80.614	19.386	95.212	4.788	25.56	0.950	bicubic
901	efficientnet_b2.ra_in1k	288	80.610	19.390	95.318	4.682	9.11	1.000	bicubic
902	gcresnext50ts.ch_in1k	256	80.608	19.392	95.180	4.820	15.67	0.900	bicubic
903	gcresnet33ts.ra2_in1k	288	80.588	19.412	95.322	4.678	19.88	1.000	bicubic
904	cspresnext50.ra_in1k	256	80.552	19.448	95.330	4.670	20.57	0.887	bilinear
905	maxvit_rmlp_pico_rw_256.sw_in1k	256	80.550	19.450	95.186	4.814	7.52	0.950	bicubic
906	resnet50d.ra2_in1k	224	80.548	19.452	95.158	4.842	25.58	0.875	bicubic
907	resnet152.a3_in1k	224	80.548	19.452	95.004	4.996	60.19	0.950	bicubic
908	darknet53.c2ns_in1k	288	80.542	19.458	95.426	4.574	41.61	1.000	bicubic
909	darknetaa53.c2ns_in1k	288	80.528	19.472	95.328	4.672	36.02	1.000	bilinear
910	resnext50_32x4d.a1_in1k	224	80.526	19.474	94.458	5.542	25.03	0.950	bicubic
911	repvgg_b3.rvgg_in1k	224	80.518	19.482	95.254	4.746	123.09	0.875	bilinear
912	efficientformer_l1.snap_dist_in1k	224	80.502	19.498	94.992	5.008	12.29	0.950	bicubic
913	mixnet_xl.ra_in1k	224	80.490	19.510	94.938	5.062	11.90	0.875	bicubic
914	wide_resnet101_2.tv2_in1k	176	80.488	19.512	94.980	5.020	126.89	0.875	bilinear
915	vit_small_patch32_384.augreg_in21k_ft_in1k	384	80.482	19.518	95.606	4.394	22.92	1.000	bicubic
916	resnet152d.gluon_in1k	224	80.476	19.524	95.196	4.804	60.21	0.875	bicubic
917	resnet50.b2k_in1k	288	80.470	19.530	95.308	4.692	25.56	1.000	bicubic
918	repvit_m2.dist_in1k	224	80.468	19.532	95.172	4.828	8.80	0.950	bicubic
919	xcit_tiny_24_p16_224.fb_dist_in1k	224	80.466	19.534	95.202	4.798	12.12	1.000	bicubic
920	resnet101d.gluon_in1k	224	80.466	19.534	95.034	4.966	44.57	0.875	bicubic
921	convnext_pico_ols.d1_in1k	288	80.458	19.542	95.248	4.752	9.06	1.000	bicubic
922	ecaresnetlight.miil_in1k	224	80.456	19.544	95.248	4.752	30.16	0.875	bicubic
923	edgenext_small_rw.sw_in1k	320	80.452	19.548	95.206	4.794	7.83	1.000	bicubic
924	inception_resnet_v2.tf_in1k	299	80.446	19.554	95.306	4.694	55.84	0.897	bicubic
925	repvit_m1_0.dist_450e_in1k	224	80.446	19.554	94.920	5.080	7.30	0.950	bicubic
926	resnext50_32x4d.a2_in1k	224	80.444	19.556	94.630	5.370	25.03	0.950	bicubic
927	mobilenetv4_hybrid_medium.e500_r224_in1k	224	80.438	19.562	95.376	4.624	11.07	0.950	bicubic
928	wide_resnet50_2.tv2_in1k	176	80.436	19.564	95.082	4.918	68.88	0.875	bilinear
929	convnext_pico.d1_in1k	288	80.430	19.570	95.060	4.940	9.05	0.950	bicubic
930	resnetv2_50.a1h_in1k	224	80.406	19.594	95.084	4.916	25.55	0.950	bicubic
931	efficientnet_b1.ra4_e3600_r240_in1k	240	80.404	19.596	95.148	4.852	7.79	0.900	bicubic
932	mobilevitv2_150.cvnets_in1k	256	80.404	19.596	95.042	4.958	10.59	0.888	bicubic
933	regnety_120.pycls_in1k	224	80.382	19.618	95.104	4.896	51.82	0.875	bicubic
934	resnet50.a1_in1k	224	80.382	19.618	94.598	5.402	25.56	0.950	bicubic
935	resnetv2_50x1_bit.goog_in21k_ft_in1k	448	80.378	19.622	95.698	4.302	25.55	1.000	bilinear
936	ese_vovnet39b.ra_in1k	288	80.378	19.622	95.360	4.640	24.57	0.950	bicubic
937	seresnet33ts.ra2_in1k	256	80.372	19.628	95.106	4.894	19.78	0.900	bicubic
938	fastvit_t12.apple_dist_in1k	256	80.364	19.636	95.042	4.958	7.55	0.900	bicubic
939	cs3darknet_l.c2ns_in1k	256	80.354	19.646	95.304	4.696	21.16	0.887	bicubic
940	resnext101_32x4d.gluon_in1k	224	80.336	19.664	94.908	5.092	44.18	0.875	bicubic
941	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	224	80.316	19.684	95.386	4.614	25.03	0.875	bilinear
942	rexnet_150.nav_in1k	224	80.310	19.690	95.168	4.832	9.73	0.875	bicubic
943	efficientvit_b1.r288_in1k	288	80.310	19.690	94.976	5.024	9.10	1.000	bicubic
944	convnextv2_pico.fcmae_ft_in1k	224	80.304	19.696	95.082	4.918	9.07	0.875	bicubic
945	poolformer_s24.sail_in1k	224	80.300	19.700	95.060	4.940	21.39	0.900	bicubic
946	tf_efficientnet_b2.ap_in1k	260	80.296	19.704	95.032	4.968	9.11	0.890	bicubic
947	efficientnet_el_pruned.in1k	300	80.294	19.706	95.218	4.782	10.59	0.904	bicubic
948	resnet101s.gluon_in1k	224	80.286	19.714	95.150	4.850	44.67	0.875	bicubic
949	regnety_160.pycls_in1k	224	80.284	19.716	94.982	5.018	83.59	0.875	bicubic
950	legacy_seresnext101_32x4d.in1k	224	80.274	19.726	95.032	4.968	48.96	0.875	bilinear
951	res2net50d.in1k	224	80.270	19.730	95.020	4.980	25.72	0.875	bilinear
952	vit_wee_patch16_reg1_gap_256.sbb_in1k	256	80.268	19.732	95.360	4.640	13.42	0.950	bicubic
953	resnet50d.a2_in1k	224	80.268	19.732	94.642	5.358	25.58	0.950	bicubic
954	regnetx_320.pycls_in1k	224	80.262	19.738	95.012	4.988	107.81	0.875	bicubic
955	seresnet50.ra2_in1k	224	80.260	19.740	95.068	4.932	28.09	0.875	bicubic
956	cs3darknet_focus_l.c2ns_in1k	256	80.252	19.748	95.298	4.702	21.15	0.887	bicubic
957	resnetblur50.bt_in1k	288	80.248	19.752	95.200	4.800	25.56	0.950	bicubic
958	repvgg_b3g4.rvgg_in1k	224	80.248	19.752	95.102	4.898	83.83	0.875	bilinear
959	tf_efficientnet_el.in1k	300	80.242	19.758	95.118	4.882	10.59	0.904	bicubic
960	vit_base_patch16_224.sam_in1k	224	80.242	19.758	94.768	5.232	86.57	0.900	bicubic
961	tf_efficientnetv2_b2.in1k	260	80.226	19.774	95.010	4.990	10.10	0.890	bicubic
962	nf_resnet50.ra2_in1k	256	80.224	19.776	95.104	4.896	25.56	0.940	bicubic
963	resnet152.tv2_in1k	176	80.212	19.788	94.654	5.346	60.19	0.875	bilinear
964	dpn107.mx_in1k	224	80.168	19.832	94.936	5.064	86.92	0.875	bicubic
965	skresnext50_32x4d.ra_in1k	224	80.166	19.834	94.644	5.356	27.48	0.875	bicubic
966	convmixer_768_32.in1k	224	80.158	19.842	95.070	4.930	21.11	0.960	bicubic
967	mobilenetv4_conv_blur_medium.e500_r224_in1k	256	80.152	19.848	95.298	4.702	9.72	1.000	bicubic
968	repvit_m1_0.dist_300e_in1k	224	80.152	19.848	94.770	5.230	7.30	0.950	bicubic
969	inception_v4.tf_in1k	299	80.144	19.856	94.982	5.018	42.68	0.875	bicubic
970	mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k	224	80.130	19.870	94.998	5.002	8.46	0.900	bicubic
971	mobilenet_edgetpu_v2_m	224	80.118	19.882	94.994	5.006	8.46	0.900	bicubic
972	cspdarknet53.ra_in1k	256	80.106	19.894	95.068	4.932	27.64	0.887	bilinear
973	seresnet50.a2_in1k	224	80.102	19.898	94.720	5.280	28.09	0.950	bicubic
974	eca_resnet33ts.ra2_in1k	256	80.092	19.908	94.980	5.020	19.68	0.900	bicubic
975	tf_efficientnet_b2.aa_in1k	260	80.082	19.918	94.912	5.088	9.11	0.890	bicubic
976	vit_pwee_patch16_reg1_gap_256.sbb_in1k	256	80.078	19.922	95.130	4.870	15.25	0.950	bicubic
977	gcresnet33ts.ra2_in1k	256	80.078	19.922	94.986	5.014	19.88	0.900	bicubic
978	resnet50_gn.a1h_in1k	224	80.066	19.934	94.954	5.046	25.56	0.940	bicubic
979	dpn92.mx_in1k	224	80.028	19.972	94.878	5.122	37.67	0.875	bicubic
980	seresnet50.a1_in1k	224	80.012	19.988	94.706	5.294	28.09	0.950	bicubic
981	darknet53.c2ns_in1k	256	80.002	19.998	95.042	4.958	41.61	0.887	bicubic
982	inception_resnet_v2.tf_ens_adv_in1k	299	79.992	20.008	94.956	5.044	55.84	0.897	bicubic
983	resnet50.ram_in1k	288	79.974	20.026	95.040	4.960	25.56	0.950	bicubic
984	mobilenetv4_conv_medium.e500_r256_in1k	256	79.922	20.078	95.186	4.814	9.72	0.950	bicubic
985	fastvit_s12.apple_in1k	256	79.920	20.080	94.792	5.208	9.47	0.900	bicubic
986	seresnext50_32x4d.gluon_in1k	224	79.918	20.082	94.816	5.184	27.56	0.875	bicubic
987	resnetrs50.tf_in1k	224	79.916	20.084	94.974	5.026	35.69	0.910	bicubic
988	xception71.tf_in1k	299	79.908	20.092	94.910	5.090	42.34	0.903	bicubic
989	efficientnet_b2_pruned.in1k	260	79.908	20.092	94.840	5.160	8.31	0.890	bicubic
990	resnet152c.gluon_in1k	224	79.906	20.094	94.850	5.150	60.21	0.875	bicubic
991	resnet101.tv2_in1k	176	79.906	20.094	94.604	5.396	44.55	0.875	bilinear
992	hgnetv2_b1.ssld_stage2_ft_in1k	288	79.904	20.096	95.148	4.852	6.34	1.000	bicubic
993	resnet50.d_in1k	224	79.904	20.096	94.666	5.334	25.56	0.950	bicubic
994	ecaresnet26t.ra2_in1k	320	79.900	20.100	95.070	4.930	16.01	0.950	bicubic
995	hgnet_tiny.paddle_in1k	224	79.888	20.112	95.048	4.952	14.74	0.965	bicubic
996	regnety_080.pycls_in1k	224	79.882	20.118	94.836	5.164	39.18	0.875	bicubic
997	regnetz_b16.ra3_in1k	224	79.874	20.126	94.978	5.022	9.72	0.940	bicubic
998	resnet50.c2_in1k	224	79.868	20.132	94.866	5.134	25.56	0.950	bicubic
999	deit_small_patch16_224.fb_in1k	224	79.862	20.138	95.056	4.944	22.05	0.900	bicubic
1000	resnet50.ra_in1k	288	79.860	20.140	94.970	5.030	25.56	0.950	bicubic
1001	levit_conv_192.fb_dist_in1k	224	79.860	20.140	94.802	5.198	10.95	0.900	bicubic
1002	regnetx_160.pycls_in1k	224	79.858	20.142	94.824	5.176	54.28	0.875	bicubic
1003	levit_192.fb_dist_in1k	224	79.850	20.150	94.804	5.196	10.95	0.900	bicubic
1004	mobilenetv4_conv_medium.e500_r224_in1k	256	79.838	20.162	95.194	4.806	9.72	1.000	bicubic
1005	dpn131.mx_in1k	224	79.834	20.166	94.708	5.292	79.25	0.875	bicubic
1006	tf_efficientnet_lite3.in1k	300	79.832	20.168	94.870	5.130	8.20	0.904	bilinear
1007	resnet50.a2_in1k	224	79.828	20.172	94.560	5.440	25.56	0.950	bicubic
1008	resnet101.a3_in1k	224	79.820	20.180	94.614	5.386	44.55	0.950	bicubic
1009	resnext50_32x4d.ra_in1k	224	79.800	20.200	94.608	5.392	25.03	0.875	bicubic
1010	resmlp_36_224.fb_in1k	224	79.772	20.228	94.888	5.112	44.69	0.875	bicubic
1011	resnet50.c1_in1k	224	79.766	20.234	94.958	5.042	25.56	0.950	bicubic
1012	gcvit_xxtiny.in1k	224	79.750	20.250	95.060	4.940	12.00	0.875	bicubic
1013	darknetaa53.c2ns_in1k	256	79.746	20.254	94.902	5.098	36.02	0.887	bilinear
1014	efficientvit_b1.r256_in1k	256	79.744	20.256	94.778	5.222	9.10	1.000	bicubic
1015	cait_xxs36_224.fb_dist_in1k	224	79.738	20.262	94.862	5.138	17.30	1.000	bicubic
1016	regnety_064.pycls_in1k	224	79.728	20.272	94.764	5.236	30.58	0.875	bicubic
1017	ecaresnet50d_pruned.miil_in1k	224	79.722	20.278	94.872	5.128	19.94	0.875	bicubic
1018	xcit_tiny_12_p8_224.fb_in1k	224	79.712	20.288	95.054	4.946	6.71	1.000	bicubic
1019	resnet152.gluon_in1k	224	79.712	20.288	94.720	5.280	60.19	0.875	bicubic
1020	resnet33ts.ra2_in1k	288	79.708	20.292	94.814	5.186	19.68	1.000	bicubic
1021	efficientformerv2_s1.snap_dist_in1k	224	79.684	20.316	94.690	5.310	6.19	0.950	bicubic
1022	mobilevitv2_125.cvnets_in1k	256	79.678	20.322	94.844	5.156	7.48	0.888	bicubic
1023	resnext50d_32x4d.bt_in1k	224	79.672	20.328	94.878	5.122	25.05	0.875	bicubic
1024	fbnetv3_d.ra2_in1k	256	79.664	20.336	94.956	5.044	10.31	0.950	bilinear
1025	dpn98.mx_in1k	224	79.656	20.344	94.642	5.358	61.57	0.875	bicubic
1026	resnet50.bt_in1k	288	79.652	20.348	94.908	5.092	25.56	0.950	bicubic
1027	gmlp_s16_224.ra3_in1k	224	79.644	20.356	94.628	5.372	19.42	0.875	bicubic
1028	tf_efficientnet_b2.in1k	260	79.614	20.386	94.724	5.276	9.11	0.890	bicubic
1029	regnetx_120.pycls_in1k	224	79.608	20.392	94.734	5.266	46.11	0.875	bicubic
1030	edgenext_small_rw.sw_in1k	256	79.590	20.410	94.518	5.482	7.83	0.900	bicubic
1031	cspresnet50.ra_in1k	256	79.588	20.412	94.690	5.310	21.62	0.887	bilinear
1032	resnet50.b1k_in1k	224	79.564	20.436	94.622	5.378	25.56	0.950	bicubic
1033	xception65.tf_in1k	299	79.554	20.446	94.660	5.340	39.92	0.903	bicubic
1034	ecaresnet50t.a3_in1k	224	79.548	20.452	94.710	5.290	25.57	0.950	bicubic
1035	convnext_pico_ols.d1_in1k	224	79.542	20.458	94.706	5.294	9.06	0.950	bicubic
1036	resnet101c.gluon_in1k	224	79.542	20.458	94.588	5.412	44.57	0.875	bicubic
1037	tf_efficientnetv2_b1.in1k	240	79.518	20.482	94.710	5.290	8.14	0.882	bicubic
1038	eca_halonext26ts.c1_in1k	256	79.518	20.482	94.582	5.418	10.76	0.940	bicubic
1039	convnext_pico.d1_in1k	224	79.516	20.484	94.554	5.446	9.05	0.875	bicubic
1040	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	256	79.496	20.504	94.114	5.886	119.42	0.900	bicubic
1041	rexnet_130.nav_in1k	224	79.490	20.510	94.684	5.316	7.56	0.875	bicubic
1042	xcit_tiny_24_p16_224.fb_in1k	224	79.458	20.542	94.882	5.118	12.12	1.000	bicubic
1043	hrnet_w64.ms_in1k	224	79.458	20.542	94.648	5.352	128.06	0.875	bilinear
1044	regnetx_016.tv2_in1k	224	79.452	20.548	94.772	5.228	9.19	0.965	bicubic
1045	mobileone_s4.apple_in1k	224	79.450	20.550	94.490	5.510	14.95	0.900	bilinear
1046	dla102x2.in1k	224	79.448	20.552	94.654	5.346	41.28	0.875	bilinear
1047	mobilenetv4_conv_blur_medium.e500_r224_in1k	224	79.446	20.554	94.920	5.080	9.72	0.950	bicubic
1048	resnet50.tv2_in1k	176	79.432	20.568	94.632	5.368	25.56	0.875	bilinear
1049	repvgg_b2g4.rvgg_in1k	224	79.396	20.604	94.680	5.320	61.76	0.875	bilinear
1050	resnet32ts.ra2_in1k	288	79.388	20.612	94.676	5.324	17.96	1.000	bicubic
1051	resnet50.b2k_in1k	224	79.380	20.620	94.576	5.424	25.56	0.950	bicubic
1052	resmlp_24_224.fb_in1k	224	79.380	20.620	94.550	5.450	30.02	0.875	bicubic
1053	resnext50_32x4d.tv2_in1k	176	79.374	20.626	94.302	5.698	25.03	0.875	bilinear
1054	efficientnet_b0.ra4_e3600_r224_in1k	256	79.370	20.630	94.752	5.248	5.29	1.000	bicubic
1055	nf_regnet_b1.ra2_in1k	288	79.368	20.632	94.726	5.274	10.22	0.900	bicubic
1056	resnext50_32x4d.gluon_in1k	224	79.354	20.646	94.424	5.576	25.03	0.875	bicubic
1057	dpn68b.ra_in1k	288	79.344	20.656	94.426	5.574	12.61	1.000	bicubic
1058	efficientnet_b2.ra_in1k	256	79.340	20.660	94.576	5.424	9.11	0.875	bicubic
1059	convnextv2_femto.fcmae_ft_in1k	288	79.332	20.668	94.602	5.398	5.23	0.950	bicubic
1060	hrnet_w48.ms_in1k	224	79.324	20.676	94.534	5.466	77.47	0.875	bilinear
1061	tf_efficientnet_cc_b1_8e.in1k	240	79.322	20.678	94.380	5.620	39.72	0.882	bicubic
1062	ese_vovnet39b.ra_in1k	224	79.316	20.684	94.714	5.286	24.57	0.875	bicubic
1063	resnext101_32x8d.tv_in1k	224	79.314	20.686	94.524	5.476	88.79	0.875	bilinear
1064	resnetblur50.bt_in1k	224	79.306	20.694	94.632	5.368	25.56	0.875	bicubic
1065	resnet101.gluon_in1k	224	79.306	20.694	94.538	5.462	44.55	0.875	bicubic
1066	tf_efficientnet_b1.ap_in1k	240	79.288	20.712	94.316	5.684	7.79	0.882	bicubic
1067	fastvit_t12.apple_in1k	256	79.276	20.724	94.570	5.430	7.55	0.900	bicubic
1068	eca_botnext26ts_256.c1_in1k	256	79.272	20.728	94.594	5.406	10.59	0.950	bicubic
1069	efficientnet_em.ra2_in1k	240	79.264	20.736	94.796	5.204	6.90	0.882	bicubic
1070	resnet50.a1h_in1k	176	79.260	20.740	94.498	5.502	25.56	0.900	bicubic
1071	botnet26t_256.c1_in1k	256	79.256	20.744	94.530	5.470	12.49	0.950	bicubic
1072	resnet50.fb_ssl_yfcc100m_ft_in1k	224	79.252	20.748	94.826	5.174	25.56	0.875	bilinear
1073	resnext50_32x4d.a3_in1k	224	79.252	20.748	94.290	5.710	25.03	0.950	bicubic
1074	efficientvit_b1.r224_in1k	224	79.240	20.760	94.294	5.706	9.10	0.950	bicubic
1075	regnety_040.pycls_in1k	224	79.236	20.764	94.664	5.336	20.65	0.875	bicubic
1076	resnet33ts.ra2_in1k	256	79.216	20.784	94.576	5.424	19.68	0.900	bicubic
1077	regnetx_080.pycls_in1k	224	79.216	20.784	94.548	5.452	39.57	0.875	bicubic
1078	tf_efficientnetv2_b2.in1k	208	79.206	20.794	94.602	5.398	10.10	0.890	bicubic
1079	tiny_vit_5m_224.in1k	224	79.196	20.804	94.802	5.198	5.39	0.950	bicubic
1080	res2net101_26w_4s.in1k	224	79.186	20.814	94.464	5.536	45.21	0.875	bilinear
1081	pit_xs_distilled_224.in1k	224	79.168	20.832	94.368	5.632	11.00	0.900	bicubic
1082	fbnetv3_b.ra2_in1k	256	79.154	20.846	94.732	5.268	8.60	0.950	bilinear
1083	vit_base_patch16_224.augreg_in1k	224	79.142	20.858	94.090	5.910	86.57	0.900	bicubic
1084	halonet26t.a1h_in1k	256	79.134	20.866	94.340	5.660	12.48	0.950	bicubic
1085	lambda_resnet26t.c1_in1k	256	79.126	20.874	94.554	5.446	10.96	0.940	bicubic
1086	coat_lite_mini.in1k	224	79.096	20.904	94.592	5.408	11.01	0.900	bicubic
1087	mobilenetv4_conv_medium.e500_r224_in1k	224	79.092	20.908	94.788	5.212	9.72	0.950	bicubic
1088	legacy_seresnext50_32x4d.in1k	224	79.084	20.916	94.432	5.568	27.56	0.875	bilinear
1089	resnet50d.gluon_in1k	224	79.080	20.920	94.458	5.542	25.58	0.875	bicubic
1090	regnetx_064.pycls_in1k	224	79.060	20.940	94.470	5.530	26.21	0.875	bicubic
1091	repvit_m0_9.dist_450e_in1k	224	79.058	20.942	94.388	5.612	5.49	0.950	bicubic
1092	resnet32ts.ra2_in1k	256	79.054	20.946	94.368	5.632	17.96	0.900	bicubic
1093	legacy_xception.tf_in1k	299	79.050	20.950	94.386	5.614	22.86	0.897	bicubic
1094	hgnetv2_b1.ssld_stage1_in22k_in1k	288	79.048	20.952	94.882	5.118	6.34	1.000	bicubic
1095	resnet50.ram_in1k	224	79.032	20.968	94.386	5.614	25.56	0.875	bicubic
1096	resnet50.am_in1k	224	79.004	20.996	94.392	5.608	25.56	0.875	bicubic
1097	mixnet_l.ft_in1k	224	78.970	21.030	94.180	5.820	7.33	0.875	bicubic
1098	lambda_resnet26rpt_256.c1_in1k	256	78.954	21.046	94.422	5.578	10.99	0.940	bicubic
1099	convnext_tiny.fb_in22k_ft_in1k	288	78.950	21.050	94.708	5.292	28.59	1.000	bicubic
1100	res2net50_26w_8s.in1k	224	78.948	21.052	94.280	5.720	48.40	0.875	bilinear
1101	hrnet_w40.ms_in1k	224	78.924	21.076	94.478	5.522	57.56	0.875	bilinear
1102	convnext_femto_ols.d1_in1k	288	78.914	21.086	94.548	5.452	5.23	0.950	bicubic
1103	hgnetv2_b1.ssld_stage2_ft_in1k	224	78.896	21.104	94.484	5.516	6.34	0.965	bicubic
1104	regnety_032.pycls_in1k	224	78.896	21.104	94.428	5.572	19.44	0.875	bicubic
1105	resnet152.a3_in1k	160	78.896	21.104	94.124	5.876	60.19	0.950	bicubic
1106	ecaresnet26t.ra2_in1k	256	78.886	21.114	94.544	5.456	16.01	0.875	bicubic
1107	hrnet_w44.ms_in1k	224	78.882	21.118	94.374	5.626	67.06	0.875	bilinear
1108	wide_resnet101_2.tv_in1k	224	78.848	21.152	94.312	5.688	126.89	0.875	bilinear
1109	vit_small_patch16_224.augreg_in1k	224	78.842	21.158	94.278	5.722	22.05	0.900	bicubic
1110	tf_efficientnet_b1.aa_in1k	240	78.840	21.160	94.200	5.800	7.79	0.882	bicubic
1111	seresnext26d_32x4d.bt_in1k	288	78.826	21.174	94.258	5.742	16.81	0.950	bicubic
1112	resnet50.ra_in1k	224	78.814	21.186	94.320	5.680	25.56	0.875	bicubic
1113	inception_v3.gluon_in1k	299	78.804	21.196	94.374	5.626	23.83	0.875	bicubic
1114	efficientnet_b1.ft_in1k	256	78.798	21.202	94.342	5.658	7.79	1.000	bicubic
1115	repvgg_b2.rvgg_in1k	224	78.794	21.206	94.414	5.586	89.02	0.875	bilinear
1116	repghostnet_200.in1k	224	78.790	21.210	94.336	5.664	9.80	0.875	bicubic
1117	tf_mixnet_l.in1k	224	78.776	21.224	93.998	6.002	7.33	0.875	bicubic
1118	vit_base_patch32_384.augreg_in1k	384	78.754	21.246	94.236	5.764	88.30	1.000	bicubic
1119	resnet50d.a3_in1k	224	78.742	21.258	94.236	5.764	25.58	0.950	bicubic
1120	seresnext26t_32x4d.bt_in1k	288	78.738	21.262	94.316	5.684	16.81	0.950	bicubic
1121	nf_regnet_b1.ra2_in1k	256	78.722	21.278	94.386	5.614	10.22	0.900	bicubic
1122	convnext_femto.d1_in1k	288	78.710	21.290	94.442	5.558	5.22	0.950	bicubic
1123	resnet50s.gluon_in1k	224	78.710	21.290	94.248	5.752	25.68	0.875	bicubic
1124	dla169.in1k	224	78.706	21.294	94.338	5.662	53.39	0.875	bilinear
1125	pvt_v2_b1.in1k	224	78.702	21.298	94.492	5.508	14.01	0.900	bicubic
1126	tf_efficientnet_b0.ns_jft_in1k	224	78.684	21.316	94.370	5.630	5.29	0.875	bicubic
1127	legacy_seresnet152.in1k	224	78.660	21.340	94.372	5.628	66.82	0.875	bilinear
1128	fbnetv3_d.ra2_in1k	224	78.656	21.344	94.454	5.546	10.31	0.950	bilinear
1129	regnety_008_tv.tv2_in1k	224	78.656	21.344	94.382	5.618	6.43	0.965	bicubic
1130	repvit_m0_9.dist_300e_in1k	224	78.654	21.346	94.114	5.886	5.49	0.950	bicubic
1131	hgnetv2_b0.ssld_stage2_ft_in1k	288	78.598	21.402	94.380	5.620	6.00	1.000	bicubic
1132	res2net50_26w_6s.in1k	224	78.584	21.416	94.106	5.894	37.05	0.875	bilinear
1133	xcit_tiny_12_p16_224.fb_dist_in1k	224	78.578	21.422	94.210	5.790	6.72	1.000	bicubic
1134	efficientnet_b0.ra4_e3600_r224_in1k	224	78.572	21.428	94.338	5.662	5.29	0.900	bicubic
1135	tf_efficientnet_b1.in1k	240	78.558	21.442	94.102	5.898	7.79	0.882	bicubic
1136	dpn68b.ra_in1k	224	78.544	21.456	93.978	6.022	12.61	0.950	bicubic
1137	repvit_m1.dist_in1k	224	78.542	21.458	94.082	5.918	5.49	0.950	bicubic
1138	xception41.tf_in1k	299	78.524	21.476	94.298	5.702	26.97	0.903	bicubic
1139	dla102x.in1k	224	78.500	21.500	94.228	5.772	26.31	0.875	bilinear
1140	regnetx_040.pycls_in1k	224	78.494	21.506	94.242	5.758	22.12	0.875	bicubic
1141	dla60_res2next.in1k	224	78.488	21.512	94.144	5.856	17.03	0.875	bilinear
1142	levit_conv_128.fb_dist_in1k	224	78.488	21.512	94.000	6.000	9.21	0.900	bicubic
1143	levit_128.fb_dist_in1k	224	78.486	21.514	93.998	6.002	9.21	0.900	bicubic
1144	convnextv2_femto.fcmae_ft_in1k	224	78.484	21.516	93.994	6.006	5.23	0.875	bicubic
1145	dla60_res2net.in1k	224	78.480	21.520	94.202	5.798	20.85	0.875	bilinear
1146	wide_resnet50_2.tv_in1k	224	78.480	21.520	94.086	5.914	68.88	0.875	bilinear
1147	resnest26d.gluon_in1k	224	78.476	21.524	94.300	5.700	17.07	0.875	bilinear
1148	hrnet_w32.ms_in1k	224	78.456	21.544	94.186	5.814	41.23	0.875	bilinear
1149	vit_tiny_patch16_384.augreg_in21k_ft_in1k	384	78.446	21.554	94.552	5.448	5.79	1.000	bicubic
1150	coat_tiny.in1k	224	78.442	21.558	94.036	5.964	5.50	0.900	bicubic
1151	resnet34d.ra2_in1k	288	78.440	21.560	94.348	5.652	21.82	0.950	bicubic
1152	gcresnext26ts.ch_in1k	288	78.438	21.562	94.034	5.966	10.48	1.000	bicubic
1153	resnet50.bt_in1k	224	78.432	21.568	94.270	5.730	25.56	0.875	bicubic
1154	selecsls60b.in1k	224	78.410	21.590	94.166	5.834	32.77	0.875	bicubic
1155	legacy_seresnet101.in1k	224	78.396	21.604	94.258	5.742	49.33	0.875	bilinear
1156	cait_xxs24_224.fb_dist_in1k	224	78.392	21.608	94.334	5.666	11.96	1.000	bicubic
1157	tf_efficientnetv2_b0.in1k	224	78.380	21.620	94.026	5.974	7.14	0.875	bicubic
1158	repvgg_b1.rvgg_in1k	224	78.372	21.628	94.108	5.892	57.42	0.875	bilinear
1159	resnet26t.ra2_in1k	320	78.330	21.670	94.136	5.864	16.01	1.000	bicubic
1160	resnet152.tv_in1k	224	78.330	21.670	94.046	5.954	60.19	0.875	bilinear
1161	mobilevit_s.cvnets_in1k	256	78.302	21.698	94.166	5.834	5.58	0.900	bicubic
1162	seresnext26ts.ch_in1k	288	78.292	21.708	94.076	5.924	10.39	1.000	bicubic
1163	bat_resnext26ts.ch_in1k	256	78.280	21.720	94.114	5.886	10.73	0.900	bicubic
1164	efficientnet_b1_pruned.in1k	240	78.252	21.748	93.820	6.180	6.33	0.882	bicubic
1165	res2next50.in1k	224	78.236	21.764	93.904	6.096	24.67	0.875	bilinear
1166	dla60x.in1k	224	78.230	21.770	94.020	5.980	17.35	0.875	bilinear
1167	hrnet_w30.ms_in1k	224	78.214	21.786	94.214	5.786	37.71	0.875	bilinear
1168	pit_xs_224.in1k	224	78.212	21.788	94.150	5.850	10.62	0.900	bicubic
1169	hrnet_w18_small_v2.gluon_in1k	224	78.184	21.816	93.912	6.088	15.60	0.875	bicubic
1170	regnetx_032.pycls_in1k	224	78.166	21.834	94.090	5.910	15.30	0.875	bicubic
1171	fbnetv3_b.ra2_in1k	224	78.160	21.840	94.242	5.758	8.60	0.950	bilinear
1172	visformer_tiny.in1k	224	78.160	21.840	94.164	5.836	10.32	0.900	bicubic
1173	res2net50_14w_8s.in1k	224	78.146	21.854	93.850	6.150	25.06	0.875	bilinear
1174	tf_efficientnet_em.in1k	240	78.136	21.864	94.062	5.938	6.90	0.882	bicubic
1175	hrnet_w18.ms_aug_in1k	224	78.116	21.884	94.062	5.938	21.30	0.950	bilinear
1176	hardcorenas_f.miil_green_in1k	224	78.108	21.892	93.800	6.200	8.20	0.875	bilinear
1177	mobilevitv2_100.cvnets_in1k	256	78.092	21.908	94.168	5.832	4.90	0.888	bicubic
1178	efficientnet_es.ra_in1k	224	78.092	21.908	93.932	6.068	5.44	0.875	bicubic
1179	hgnetv2_b1.ssld_stage1_in22k_in1k	224	78.078	21.922	94.186	5.814	6.34	0.965	bicubic
1180	resnet50.a3_in1k	224	78.052	21.948	93.780	6.220	25.56	0.950	bicubic
1181	gmixer_24_224.ra3_in1k	224	78.048	21.952	93.654	6.346	24.72	0.875	bicubic
1182	hgnetv2_b0.ssld_stage1_in22k_in1k	288	78.034	21.966	94.248	5.752	6.00	1.000	bicubic
1183	dla102.in1k	224	78.018	21.982	93.948	6.052	33.27	0.875	bilinear
1184	resnet50c.gluon_in1k	224	78.016	21.984	93.994	6.006	25.58	0.875	bicubic
1185	eca_resnext26ts.ch_in1k	288	78.016	21.984	93.932	6.068	10.30	1.000	bicubic
1186	poolformerv2_s12.sail_in1k	224	78.008	21.992	93.864	6.136	11.89	1.000	bicubic
1187	mobileone_s3.apple_in1k	224	78.002	21.998	93.910	6.090	10.17	0.900	bilinear
1188	res2net50_26w_4s.in1k	224	77.986	22.014	93.862	6.138	25.70	0.875	bilinear
1189	selecsls60.in1k	224	77.986	22.014	93.826	6.174	30.67	0.875	bicubic
1190	seresnext26t_32x4d.bt_in1k	224	77.980	22.020	93.750	6.250	16.81	0.875	bicubic
1191	resmlp_12_224.fb_distilled_in1k	224	77.948	22.052	93.562	6.438	15.35	0.875	bicubic
1192	resnet34.a1_in1k	288	77.938	22.062	93.748	6.252	21.80	1.000	bicubic
1193	tf_efficientnetv2_b1.in1k	192	77.930	22.070	93.822	6.178	8.14	0.882	bicubic
1194	resnet101.a3_in1k	160	77.928	22.072	93.686	6.314	44.55	0.950	bicubic
1195	tf_efficientnet_cc_b0_8e.in1k	224	77.924	22.076	93.650	6.350	24.01	0.875	bicubic
1196	mobilenetv3_large_100.miil_in21k_ft_in1k	224	77.910	22.090	92.884	7.116	5.48	0.875	bilinear
1197	regnety_016.pycls_in1k	224	77.908	22.092	93.724	6.276	11.20	0.875	bicubic
1198	resnet26t.ra2_in1k	256	77.884	22.116	93.838	6.162	16.01	0.940	bicubic
1199	inception_v3.tf_in1k	299	77.866	22.134	93.640	6.360	23.83	0.875	bicubic
1200	seresnext26ts.ch_in1k	256	77.856	22.144	93.790	6.210	10.39	0.900	bicubic
1201	resnetrs50.tf_in1k	160	77.850	22.150	93.814	6.186	35.69	0.910	bicubic
1202	rexnet_100.nav_in1k	224	77.846	22.154	93.876	6.124	4.80	0.875	bicubic
1203	convnext_femto_ols.d1_in1k	224	77.844	22.156	93.824	6.176	5.23	0.875	bicubic
1204	ghostnetv2_160.in1k	224	77.836	22.164	93.942	6.058	12.39	0.875	bicubic
1205	xcit_nano_12_p8_384.fb_dist_in1k	384	77.820	22.180	94.030	5.970	3.05	1.000	bicubic
1206	gcresnext26ts.ch_in1k	256	77.816	22.184	93.822	6.178	10.48	0.900	bicubic
1207	ese_vovnet19b_dw.ra_in1k	288	77.798	22.202	93.778	6.222	6.54	0.950	bicubic
1208	convnextv2_atto.fcmae_ft_in1k	288	77.790	22.210	93.732	6.268	3.71	0.950	bicubic
1209	hardcorenas_e.miil_green_in1k	224	77.790	22.210	93.690	6.310	8.07	0.875	bilinear
1210	ecaresnet50t.a3_in1k	160	77.780	22.220	93.612	6.388	25.57	0.950	bicubic
1211	resnext50_32x4d.a3_in1k	160	77.734	22.266	93.314	6.686	25.03	0.950	bicubic
1212	efficientnet_b0.ra_in1k	224	77.696	22.304	93.540	6.460	5.29	0.875	bicubic
1213	tinynet_a.in1k	192	77.664	22.336	93.532	6.468	6.19	0.875	bicubic
1214	legacy_seresnet50.in1k	224	77.644	22.356	93.720	6.280	28.09	0.875	bilinear
1215	resnext50_32x4d.tv_in1k	224	77.632	22.368	93.674	6.326	25.03	0.875	bilinear
1216	cs3darknet_m.c2ns_in1k	288	77.628	22.372	94.018	5.982	9.31	0.950	bicubic
1217	repvgg_b1g4.rvgg_in1k	224	77.602	22.398	93.844	6.156	39.97	0.875	bilinear
1218	inception_v3.tf_adv_in1k	299	77.596	22.404	93.726	6.274	23.83	0.875	bicubic
1219	efficientnet_b1.ft_in1k	224	77.594	22.406	93.630	6.370	7.79	0.875	bicubic
1220	seresnext26d_32x4d.bt_in1k	224	77.586	22.414	93.610	6.390	16.81	0.875	bicubic
1221	mobilenetv1_125.ra4_e3600_r224_in1k	256	77.584	22.416	93.794	6.206	6.27	1.000	bicubic
1222	resnet50.gluon_in1k	224	77.580	22.420	93.726	6.274	25.56	0.875	bicubic
1223	coat_lite_tiny.in1k	224	77.548	22.452	93.924	6.076	5.72	0.900	bicubic
1224	dpn68b.mx_in1k	224	77.542	22.458	93.842	6.158	12.61	0.875	bicubic
1225	res2net50_48w_2s.in1k	224	77.536	22.464	93.564	6.436	25.29	0.875	bilinear
1226	convnext_femto.d1_in1k	224	77.508	22.492	93.688	6.312	5.22	0.875	bicubic
1227	mobileone_s2.apple_in1k	224	77.504	22.496	93.664	6.336	7.88	0.900	bilinear
1228	inception_v3.tv_in1k	299	77.474	22.526	93.474	6.526	23.83	0.875	bicubic
1229	tf_efficientnet_lite2.in1k	260	77.472	22.528	93.744	6.256	6.09	0.890	bicubic
1230	repghostnet_150.in1k	224	77.470	22.530	93.498	6.502	6.58	0.875	bicubic
1231	hardcorenas_d.miil_green_in1k	224	77.450	22.550	93.480	6.520	7.50	0.875	bilinear
1232	eca_resnext26ts.ch_in1k	256	77.442	22.558	93.576	6.424	10.30	0.900	bicubic
1233	resnet26d.bt_in1k	288	77.424	22.576	93.630	6.370	16.01	0.950	bicubic
1234	resnet101.tv_in1k	224	77.404	22.596	93.552	6.448	44.55	0.875	bilinear
1235	densenet161.tv_in1k	224	77.350	22.650	93.654	6.346	28.68	0.875	bicubic
1236	hgnetv2_b0.ssld_stage2_ft_in1k	224	77.342	22.658	93.786	6.214	6.00	0.965	bicubic
1237	tf_efficientnet_cc_b0_4e.in1k	224	77.324	22.676	93.332	6.668	13.31	0.875	bicubic
1238	densenetblur121d.ra_in1k	288	77.310	22.690	93.800	6.200	8.00	0.950	bicubic
1239	mobilenetv2_120d.ra_in1k	224	77.298	22.702	93.516	6.484	5.83	0.875	bicubic
1240	cs3darknet_focus_m.c2ns_in1k	288	77.292	22.708	93.970	6.030	9.30	0.950	bicubic
1241	regnetx_008.tv2_in1k	224	77.288	22.712	93.662	6.338	7.26	0.965	bicubic
1242	densenet201.tv_in1k	224	77.284	22.716	93.480	6.520	20.01	0.875	bicubic
1243	mixnet_m.ft_in1k	224	77.274	22.726	93.428	6.572	5.01	0.875	bicubic
1244	poolformer_s12.sail_in1k	224	77.244	22.756	93.538	6.462	11.92	0.900	bicubic
1245	resnet50d.a3_in1k	160	77.222	22.778	93.256	6.744	25.58	0.950	bicubic
1246	convnext_atto_ols.a2_in1k	288	77.220	22.780	93.700	6.300	3.70	0.950	bicubic
1247	selecsls42b.in1k	224	77.186	22.814	93.392	6.608	32.46	0.875	bicubic
1248	resnext26ts.ra2_in1k	288	77.182	22.818	93.474	6.526	10.30	1.000	bicubic
1249	fastvit_t8.apple_dist_in1k	256	77.172	22.828	93.274	6.726	4.03	0.900	bicubic
1250	resnet34.a2_in1k	288	77.148	22.852	93.290	6.710	21.80	1.000	bicubic
1251	xcit_tiny_12_p16_224.fb_in1k	224	77.142	22.858	93.730	6.270	6.72	1.000	bicubic
1252	resnet34d.ra2_in1k	224	77.104	22.896	93.376	6.624	21.82	0.875	bicubic
1253	legacy_seresnext26_32x4d.in1k	224	77.100	22.900	93.332	6.668	16.79	0.875	bicubic
1254	tf_efficientnet_b0.ap_in1k	224	77.094	22.906	93.260	6.740	5.29	0.875	bicubic
1255	hardcorenas_c.miil_green_in1k	224	77.094	22.906	93.192	6.808	5.52	0.875	bilinear
1256	efficientvit_m5.r224_in1k	224	77.082	22.918	93.166	6.834	12.47	0.875	bicubic
1257	dla60.in1k	224	77.046	22.954	93.318	6.682	22.04	0.875	bilinear
1258	seresnet50.a3_in1k	224	77.036	22.964	93.072	6.928	28.09	0.950	bicubic
1259	convnext_atto.d2_in1k	288	77.014	22.986	93.702	6.298	3.70	0.950	bicubic
1260	crossvit_9_dagger_240.in1k	240	76.986	23.014	93.602	6.398	8.78	0.875	bicubic
1261	cs3darknet_m.c2ns_in1k	256	76.982	23.018	93.602	6.398	9.31	0.887	bicubic
1262	tf_mixnet_m.in1k	224	76.964	23.036	93.168	6.832	5.01	0.875	bicubic
1263	skresnet34.ra_in1k	224	76.956	23.044	93.318	6.682	22.28	0.875	bicubic
1264	convmixer_1024_20_ks9_p14.in1k	224	76.944	23.056	93.364	6.636	24.38	0.960	bicubic
1265	mobilenetv1_125.ra4_e3600_r224_in1k	224	76.928	23.072	93.216	6.784	6.27	0.900	bicubic
1266	regnetx_016.pycls_in1k	224	76.924	23.076	93.430	6.570	9.19	0.875	bicubic
1267	gernet_s.idstcv_in1k	224	76.902	23.098	93.136	6.864	8.17	0.875	bilinear
1268	tf_efficientnet_b0.aa_in1k	224	76.882	23.118	93.270	6.730	5.29	0.875	bicubic
1269	tf_efficientnetv2_b0.in1k	192	76.880	23.120	93.184	6.816	7.14	0.875	bicubic
1270	hgnetv2_b0.ssld_stage1_in22k_in1k	224	76.844	23.156	93.612	6.388	6.00	0.965	bicubic
1271	ese_vovnet19b_dw.ra_in1k	224	76.798	23.202	93.272	6.728	6.54	0.875	bicubic
1272	cs3darknet_focus_m.c2ns_in1k	256	76.774	23.226	93.544	6.456	9.30	0.887	bicubic
1273	resnext26ts.ra2_in1k	256	76.774	23.226	93.138	6.862	10.30	0.900	bicubic
1274	ghostnetv2_130.in1k	224	76.762	23.238	93.360	6.640	8.96	0.875	bicubic
1275	hrnet_w18.ms_in1k	224	76.760	23.240	93.446	6.554	21.30	0.875	bilinear
1276	resnet26d.bt_in1k	224	76.698	23.302	93.156	6.844	16.01	0.875	bicubic
1277	tf_efficientnet_lite1.in1k	240	76.672	23.328	93.232	6.768	5.42	0.882	bicubic
1278	resmlp_12_224.fb_in1k	224	76.660	23.340	93.170	6.830	15.35	0.875	bicubic
1279	convnextv2_atto.fcmae_ft_in1k	224	76.646	23.354	93.044	6.956	3.71	0.875	bicubic
1280	mixer_b16_224.goog_in21k_ft_in1k	224	76.640	23.360	92.228	7.772	59.88	0.875	bicubic
1281	tf_efficientnet_es.in1k	224	76.608	23.392	93.176	6.824	5.44	0.875	bicubic
1282	mobilenetv1_100h.ra4_e3600_r224_in1k	256	76.594	23.406	93.266	6.734	5.28	0.950	bicubic
1283	densenetblur121d.ra_in1k	224	76.572	23.428	93.186	6.814	8.00	0.875	bicubic
1284	hardcorenas_b.miil_green_in1k	224	76.552	23.448	92.766	7.234	5.18	0.875	bilinear
1285	tf_efficientnet_b0.in1k	224	76.536	23.464	93.010	6.990	5.29	0.875	bicubic
1286	levit_conv_128s.fb_dist_in1k	224	76.534	23.466	92.882	7.118	7.78	0.900	bicubic
1287	mobilenetv2_140.ra_in1k	224	76.528	23.472	93.008	6.992	6.11	0.875	bicubic
1288	levit_128s.fb_dist_in1k	224	76.522	23.478	92.874	7.126	7.78	0.900	bicubic
1289	resnet34.bt_in1k	288	76.508	23.492	93.344	6.656	21.80	0.950	bicubic
1290	repvgg_a2.rvgg_in1k	224	76.492	23.508	93.016	6.984	28.21	0.875	bilinear
1291	densenet121.ra_in1k	288	76.480	23.520	93.374	6.626	7.98	0.950	bicubic
1292	resnet34.a1_in1k	224	76.414	23.586	92.886	7.114	21.80	0.950	bicubic
1293	resnet26.bt_in1k	288	76.378	23.622	93.176	6.824	16.00	0.950	bicubic
1294	repghostnet_130.in1k	224	76.366	23.634	92.898	7.102	5.48	0.875	bicubic
1295	dpn68.mx_in1k	224	76.338	23.662	92.990	7.010	12.61	0.875	bicubic
1296	regnety_008.pycls_in1k	224	76.334	23.666	93.060	6.940	6.26	0.875	bicubic
1297	xcit_nano_12_p8_224.fb_dist_in1k	224	76.328	23.672	93.070	6.930	3.05	1.000	bicubic
1298	fastvit_t8.apple_in1k	256	76.184	23.816	93.042	6.958	4.03	0.900	bicubic
1299	resnet50.tv_in1k	224	76.156	23.844	92.866	7.134	25.56	0.875	bilinear
1300	efficientformerv2_s0.snap_dist_in1k	224	76.116	23.884	92.854	7.146	3.60	0.950	bicubic
1301	mobilenetv1_100.ra4_e3600_r224_in1k	256	76.086	23.914	93.012	6.988	4.23	0.950	bicubic
1302	mixnet_s.ft_in1k	224	76.002	23.998	92.800	7.200	4.13	0.875	bicubic
1303	vit_small_patch32_224.augreg_in21k_ft_in1k	224	75.996	24.004	93.272	6.728	22.88	0.900	bicubic
1304	resnet50.a3_in1k	160	75.994	24.006	92.494	7.506	25.56	0.950	bicubic
1305	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	384	75.962	24.038	93.276	6.724	6.36	1.000	bicubic
1306	hardcorenas_a.miil_green_in1k	224	75.926	24.074	92.486	7.514	5.26	0.875	bilinear
1307	densenet169.tv_in1k	224	75.922	24.078	92.976	7.024	14.15	0.875	bicubic
1308	convnext_atto_ols.a2_in1k	224	75.902	24.098	92.844	7.156	3.70	0.875	bicubic
1309	mobilenetv3_large_100.ra_in1k	224	75.786	24.214	92.528	7.472	5.48	0.875	bicubic
1310	mobileone_s1.apple_in1k	224	75.774	24.226	92.788	7.212	4.83	0.900	bilinear
1311	edgenext_x_small.in1k	288	75.706	24.294	92.760	7.240	2.34	1.000	bicubic
1312	convnext_atto.d2_in1k	224	75.668	24.332	92.912	7.088	3.70	0.875	bicubic
1313	mobilenetv1_100h.ra4_e3600_r224_in1k	224	75.658	24.342	92.504	7.496	5.28	0.875	bicubic
1314	tf_mixnet_s.in1k	224	75.652	24.348	92.628	7.372	4.13	0.875	bicubic
1315	mobilenetv3_rw.rmsp_in1k	224	75.614	24.386	92.698	7.302	5.48	0.875	bicubic
1316	mobilevitv2_075.cvnets_in1k	256	75.604	24.396	92.754	7.246	2.87	0.888	bicubic
1317	regnety_004.tv2_in1k	224	75.588	24.412	92.698	7.302	4.34	0.965	bicubic
1318	densenet121.ra_in1k	224	75.576	24.424	92.648	7.352	7.98	0.875	bicubic
1319	resnest14d.gluon_in1k	224	75.516	24.484	92.514	7.486	10.61	0.875	bilinear
1320	resnet34.a2_in1k	224	75.516	24.484	92.456	7.544	21.80	0.950	bicubic
1321	tf_mobilenetv3_large_100.in1k	224	75.514	24.486	92.602	7.398	5.48	0.875	bilinear
1322	efficientnet_lite0.ra_in1k	224	75.490	24.510	92.514	7.486	4.65	0.875	bicubic
1323	xcit_nano_12_p16_384.fb_dist_in1k	384	75.468	24.532	92.670	7.330	3.05	1.000	bicubic
1324	semnasnet_100.rmsp_in1k	224	75.464	24.536	92.612	7.388	3.89	0.875	bicubic
1325	vit_tiny_patch16_224.augreg_in21k_ft_in1k	224	75.452	24.548	92.854	7.146	5.72	0.900	bicubic
1326	mobilenetv1_100.ra4_e3600_r224_in1k	224	75.384	24.616	92.312	7.688	4.23	0.875	bicubic
1327	resnet26.bt_in1k	224	75.292	24.708	92.572	7.428	16.00	0.875	bicubic
1328	regnety_006.pycls_in1k	224	75.262	24.738	92.526	7.474	6.06	0.875	bicubic
1329	ghostnetv2_100.in1k	224	75.176	24.824	92.334	7.666	6.16	0.875	bicubic
1330	repvgg_b0.rvgg_in1k	224	75.162	24.838	92.420	7.580	15.82	0.875	bilinear
1331	resnet34.bt_in1k	224	75.162	24.838	92.170	7.830	21.80	0.875	bicubic
1332	fbnetc_100.rmsp_in1k	224	75.114	24.886	92.382	7.618	5.57	0.875	bilinear
1333	seresnet50.a3_in1k	160	75.100	24.900	92.096	7.904	28.09	0.950	bicubic
1334	hrnet_w18_small_v2.ms_in1k	224	75.098	24.902	92.418	7.582	15.60	0.875	bilinear
1335	repghostnet_111.in1k	224	75.068	24.932	92.184	7.816	4.54	0.875	bicubic
1336	regnetx_008.pycls_in1k	224	75.062	24.938	92.340	7.660	7.26	0.875	bicubic
1337	mobilenetv2_110d.ra_in1k	224	75.054	24.946	92.186	7.814	4.52	0.875	bicubic
1338	efficientnet_es_pruned.in1k	224	75.000	25.000	92.448	7.552	5.44	0.875	bicubic
1339	tinynet_b.in1k	188	74.966	25.034	92.196	7.804	3.73	0.875	bicubic
1340	vit_base_patch32_224.augreg_in1k	224	74.906	25.094	91.770	8.230	88.22	0.900	bicubic
1341	edgenext_x_small.in1k	256	74.880	25.120	92.304	7.696	2.34	0.900	bicubic
1342	tf_efficientnet_lite0.in1k	224	74.846	25.154	92.180	7.820	4.65	0.875	bicubic
1343	legacy_seresnet34.in1k	224	74.788	25.212	92.134	7.866	21.96	0.875	bilinear
1344	densenet121.tv_in1k	224	74.748	25.252	92.154	7.846	7.98	0.875	bicubic
1345	mnasnet_100.rmsp_in1k	224	74.662	25.338	92.108	7.892	4.38	0.875	bicubic
1346	mobilenetv4_conv_small.e2400_r224_in1k	256	74.644	25.356	92.022	7.978	3.77	0.950	bicubic
1347	mobilevit_xs.cvnets_in1k	256	74.632	25.368	92.348	7.652	2.32	0.900	bicubic
1348	dla34.in1k	224	74.632	25.368	92.052	7.948	15.74	0.875	bilinear
1349	regnetx_004_tv.tv2_in1k	224	74.584	25.416	92.170	7.830	5.50	0.965	bicubic
1350	resnet34.gluon_in1k	224	74.574	25.426	91.988	8.012	21.80	0.875	bicubic
1351	deit_tiny_distilled_patch16_224.fb_in1k	224	74.540	25.460	91.894	8.106	5.91	0.900	bicubic
1352	repvgg_a1.rvgg_in1k	224	74.468	25.532	91.840	8.160	14.09	0.875	bilinear
1353	efficientvit_m4.r224_in1k	224	74.346	25.654	91.984	8.016	8.80	0.875	bicubic
1354	mobilenetv4_conv_small.e1200_r224_in1k	256	74.290	25.710	92.112	7.888	3.77	0.950	bicubic
1355	pit_ti_distilled_224.in1k	224	74.278	25.722	91.928	8.072	5.10	0.900	bicubic
1356	vgg19_bn.tv_in1k	224	74.236	25.764	91.844	8.156	143.68	0.875	bilinear
1357	repghostnet_100.in1k	224	74.200	25.800	91.550	8.450	4.07	0.875	bicubic
1358	spnasnet_100.rmsp_in1k	224	74.082	25.918	91.828	8.172	4.42	0.875	bilinear
1359	regnety_004.pycls_in1k	224	74.006	25.994	91.756	8.244	4.34	0.875	bicubic
1360	crossvit_9_240.in1k	240	73.976	26.024	91.976	8.024	8.55	0.875	bicubic
1361	ghostnet_100.in1k	224	73.960	26.040	91.542	8.458	5.18	0.875	bicubic
1362	hrnet_w18_small.gluon_in1k	224	73.932	26.068	91.172	8.828	13.19	0.875	bicubic
1363	xcit_nano_12_p8_224.fb_in1k	224	73.900	26.100	92.146	7.854	3.05	1.000	bicubic
1364	regnetx_006.pycls_in1k	224	73.884	26.116	91.666	8.334	6.20	0.875	bicubic
1365	resnet18d.ra2_in1k	288	73.794	26.206	91.834	8.166	11.71	0.950	bicubic
1366	mobilenetv4_conv_small.e2400_r224_in1k	224	73.730	26.270	91.426	8.574	3.77	0.875	bicubic
1367	vit_base_patch32_224.sam_in1k	224	73.706	26.294	91.012	8.988	88.22	0.900	bicubic
1368	tf_mobilenetv3_large_075.in1k	224	73.448	26.552	91.344	8.656	3.99	0.875	bilinear
1369	mobilenetv4_conv_small.e1200_r224_in1k	224	73.436	26.564	91.342	8.658	3.77	0.875	bicubic
1370	efficientvit_m3.r224_in1k	224	73.408	26.592	91.348	8.652	6.90	0.875	bicubic
1371	vgg16_bn.tv_in1k	224	73.356	26.644	91.500	8.500	138.37	0.875	bilinear
1372	crossvit_tiny_240.in1k	240	73.330	26.670	91.910	8.090	7.01	0.875	bicubic
1373	resnet34.tv_in1k	224	73.298	26.702	91.422	8.578	21.80	0.875	bilinear
1374	resnet18.fb_swsl_ig1b_ft_in1k	224	73.288	26.712	91.754	8.246	11.69	0.875	bilinear
1375	resnet18.a1_in1k	288	73.164	26.836	91.054	8.946	11.69	1.000	bicubic
1376	convit_tiny.fb_in1k	224	73.126	26.874	91.690	8.310	5.71	0.875	bicubic
1377	skresnet18.ra_in1k	224	73.020	26.980	91.174	8.826	11.96	0.875	bicubic
1378	semnasnet_075.rmsp_in1k	224	73.008	26.992	91.126	8.874	2.91	0.875	bicubic
1379	resnet34.a3_in1k	224	72.982	27.018	91.116	8.884	21.80	0.950	bicubic
1380	mobilenetv2_100.ra_in1k	224	72.936	27.064	91.002	8.998	3.50	0.875	bicubic
1381	pit_ti_224.in1k	224	72.924	27.076	91.412	8.588	4.85	0.900	bicubic
1382	resnet18.fb_ssl_yfcc100m_ft_in1k	224	72.636	27.364	91.416	8.584	11.69	0.875	bilinear
1383	regnetx_004.pycls_in1k	224	72.432	27.568	90.848	9.152	5.16	0.875	bicubic
1384	repvgg_a0.rvgg_in1k	224	72.424	27.576	90.514	9.486	9.11	0.875	bilinear
1385	vgg19.tv_in1k	224	72.400	27.600	90.878	9.122	143.67	0.875	bilinear
1386	resnet18.a2_in1k	288	72.362	27.638	90.616	9.384	11.69	1.000	bicubic
1387	hrnet_w18_small.ms_in1k	224	72.334	27.666	90.686	9.314	13.19	0.875	bilinear
1388	xcit_nano_12_p16_224.fb_dist_in1k	224	72.318	27.682	90.826	9.174	3.05	1.000	bicubic
1389	tf_mobilenetv3_large_minimal_100.in1k	224	72.270	27.730	90.662	9.338	3.92	0.875	bilinear
1390	resnet18d.ra2_in1k	224	72.268	27.732	90.682	9.318	11.71	0.875	bicubic
1391	resnet14t.c3_in1k	224	72.242	27.758	90.318	9.682	10.08	0.950	bicubic
1392	repghostnet_080.in1k	224	72.236	27.764	90.490	9.510	3.28	0.875	bicubic
1393	deit_tiny_patch16_224.fb_in1k	224	72.196	27.804	91.100	8.900	5.72	0.900	bicubic
1394	lcnet_100.ra2_in1k	224	72.128	27.872	90.368	9.632	2.95	0.875	bicubic
1395	mixer_l16_224.goog_in21k_ft_in1k	224	72.090	27.910	87.650	12.350	208.20	0.875	bicubic
1396	edgenext_xx_small.in1k	288	71.886	28.114	90.534	9.466	1.33	1.000	bicubic
1397	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	224	71.820	28.180	90.814	9.186	6.34	0.900	bicubic
1398	legacy_seresnet18.in1k	224	71.742	28.258	90.340	9.660	11.78	0.875	bicubic
1399	vgg16.tv_in1k	224	71.600	28.400	90.398	9.602	138.36	0.875	bilinear
1400	vgg13_bn.tv_in1k	224	71.556	28.444	90.372	9.628	133.05	0.875	bilinear
1401	resnet18.a1_in1k	224	71.488	28.512	90.076	9.924	11.69	0.950	bicubic
1402	efficientvit_b0.r224_in1k	224	71.404	28.596	89.434	10.566	3.41	0.950	bicubic
1403	mobileone_s0.apple_in1k	224	71.398	28.602	89.864	10.136	5.29	0.875	bilinear
1404	resnet14t.c3_in1k	176	71.318	28.682	89.680	10.320	10.08	0.875	bicubic
1405	tinynet_c.in1k	184	71.224	28.776	89.746	10.254	2.46	0.875	bicubic
1406	edgenext_xx_small.in1k	256	71.116	28.884	90.040	9.960	1.33	0.900	bicubic
1407	resnet18.gluon_in1k	224	70.844	29.156	89.750	10.250	11.69	0.875	bicubic
1408	efficientvit_m2.r224_in1k	224	70.800	29.200	90.160	9.840	4.19	0.875	bicubic
1409	pvt_v2_b0.in1k	224	70.656	29.344	90.212	9.788	3.67	0.900	bicubic
1410	resnet18.a2_in1k	224	70.634	29.366	89.486	10.514	11.69	0.950	bicubic
1411	resnet34.a3_in1k	160	70.572	29.428	89.522	10.478	21.80	0.950	bicubic
1412	vgg11_bn.tv_in1k	224	70.384	29.616	89.808	10.192	132.87	0.875	bilinear
1413	regnety_002.pycls_in1k	224	70.294	29.706	89.534	10.466	3.16	0.875	bicubic
1414	mobilevitv2_050.cvnets_in1k	256	70.158	29.842	89.936	10.064	1.37	0.888	bicubic
1415	xcit_nano_12_p16_224.fb_in1k	224	69.982	30.018	89.782	10.218	3.05	1.000	bicubic
1416	vgg13.tv_in1k	224	69.940	30.060	89.256	10.744	133.05	0.875	bilinear
1417	resnet18.tv_in1k	224	69.752	30.248	89.080	10.920	11.69	0.875	bilinear
1418	vgg11.tv_in1k	224	69.048	30.952	88.632	11.368	132.86	0.875	bilinear
1419	repghostnet_058.in1k	224	68.934	31.066	88.386	11.614	2.55	0.875	bicubic
1420	mobilevit_xxs.cvnets_in1k	256	68.928	31.072	88.940	11.060	1.27	0.900	bicubic
1421	lcnet_075.ra2_in1k	224	68.784	31.216	88.388	11.612	2.36	0.875	bicubic
1422	regnetx_002.pycls_in1k	224	68.760	31.240	88.564	11.436	2.68	0.875	bicubic
1423	efficientvit_m1.r224_in1k	224	68.352	31.648	88.684	11.316	2.98	0.875	bicubic
1424	resnet10t.c3_in1k	224	68.346	31.654	88.022	11.978	5.44	0.950	bicubic
1425	resnet18.a3_in1k	224	68.246	31.754	88.158	11.842	11.69	0.950	bicubic
1426	tf_mobilenetv3_small_100.in1k	224	67.932	32.068	87.684	12.316	2.54	0.875	bilinear
1427	dla60x_c.in1k	224	67.928	32.072	88.426	11.574	1.32	0.875	bilinear
1428	mobilenetv3_small_100.lamb_in1k	224	67.638	32.362	87.650	12.350	2.54	0.875	bicubic
1429	repghostnet_050.in1k	224	66.980	33.020	86.940	13.060	2.31	0.875	bicubic
1430	tinynet_d.in1k	152	66.966	33.034	87.064	12.936	2.34	0.875	bicubic
1431	resnet10t.c3_in1k	176	66.724	33.276	86.974	13.026	5.44	0.875	bicubic
1432	mnasnet_small.lamb_in1k	224	66.196	33.804	86.472	13.528	2.03	0.875	bicubic
1433	dla46x_c.in1k	224	66.008	33.992	86.946	13.054	1.07	0.875	bilinear
1434	mobilenetv2_050.lamb_in1k	224	65.930	34.070	86.102	13.898	1.97	0.875	bicubic
1435	tf_mobilenetv3_small_075.in1k	224	65.732	34.268	86.142	13.858	2.04	0.875	bilinear
1436	resnet18.a3_in1k	160	65.664	34.336	86.278	13.722	11.69	0.950	bicubic
1437	mobilenetv3_small_075.lamb_in1k	224	65.266	34.734	85.466	14.534	2.04	0.875	bicubic
1438	dla46_c.in1k	224	64.880	35.120	86.330	13.670	1.30	0.875	bilinear
1439	efficientvit_m0.r224_in1k	224	63.294	36.706	85.150	14.850	2.35	0.875	bicubic
1440	lcnet_050.ra2_in1k	224	63.130	36.870	84.400	15.600	1.88	0.875	bicubic
1441	tf_mobilenetv3_small_minimal_100.in1k	224	62.894	37.106	84.284	15.716	2.04	0.875	bilinear
1442	tinynet_e.in1k	106	59.874	40.126	81.770	18.230	2.04	0.875	bicubic
1443	mobilenetv3_small_050.lamb_in1k	224	57.924	42.076	80.142	19.858	1.59	0.875	bicubic
1444	test_efficientnet.r160_in1k	160	46.424	53.576	70.958	29.042	0.36	0.875	bicubic
1445	test_byobnet.r160_in1k	160	45.400	54.600	70.610	29.390	0.46	0.875	bicubic
1446	test_vit.r160_in1k	160	40.832	59.168	67.206	32.794	0.37	0.875	bicubic