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	89.968	10.032	99.012	0.988	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	88.596	11.404	98.656	1.344	305.67	1.000	bicubic
19	maxvit_xlarge_tf_512.in21k_ft_in1k	512	88.540	11.460	98.650	1.350	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	88.402	11.598	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	88.226	11.774	98.684	1.316	644.81	1.000	bicubic
31	maxvit_base_tf_512.in21k_ft_in1k	512	88.214	11.786	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	87.810	12.190	98.378	1.622	116.14	1.000	bicubic
45	convnext_xlarge.fb_in22k_ft_in1k_384	384	87.764	12.236	98.552	1.448	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	convnextv2_large.fcmae_ft_in22k_in1k	224	87.468	12.532	98.330	1.670	197.96	1.000	bicubic
56	convnext_large.fb_in22k_ft_in1k_384	384	87.456	12.544	98.380	1.620	197.77	1.000	bicubic
57	caformer_b36.sail_in22k_ft_in1k	224	87.440	12.560	98.332	1.668	98.75	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	87.338	12.662	98.222	1.778	200.13	1.000	bicubic
62	seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	384	87.306	12.694	98.334	1.666	149.39	1.000	bicubic
63	vit_large_patch14_clip_224.laion2b_ft_in1k	224	87.298	12.702	98.228	1.772	304.20	1.000	bicubic
64	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	384	87.212	12.788	98.028	1.972	86.86	1.000	bicubic
65	deit3_huge_patch14_224.fb_in22k_ft_in1k	224	87.180	12.820	98.264	1.736	632.13	1.000	bicubic
66	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	384	87.150	12.850	98.228	1.772	88.59	1.000	bicubic
67	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	384	87.140	12.860	98.228	1.772	87.92	1.000	bicubic
68	swin_large_patch4_window12_384.ms_in22k_ft_in1k	384	87.138	12.862	98.230	1.770	196.74	1.000	bicubic
69	vit_large_patch16_384.augreg_in21k_ft_in1k	384	87.094	12.906	98.306	1.694	304.72	1.000	bicubic
70	volo_d5_512.sail_in1k	512	87.066	12.934	97.974	2.026	296.09	1.150	bicubic
71	vit_base_patch16_clip_384.openai_ft_in12k_in1k	384	87.028	12.972	98.194	1.806	86.86	0.950	bicubic
72	convnext_large.fb_in22k_ft_in1k	288	87.014	12.986	98.212	1.788	197.77	1.000	bicubic
73	convnextv2_base.fcmae_ft_in22k_in1k	288	86.998	13.002	98.164	1.836	88.72	1.000	bicubic
74	deit3_large_patch16_224.fb_in22k_ft_in1k	224	86.986	13.014	98.240	1.760	304.37	1.000	bicubic
75	convformer_b36.sail_in22k_ft_in1k	224	86.984	13.016	98.158	1.842	99.88	1.000	bicubic
76	volo_d5_448.sail_in1k	448	86.978	13.022	97.928	2.072	295.91	1.150	bicubic
77	convnext_xlarge.fb_in22k_ft_in1k	224	86.944	13.056	98.304	1.696	350.20	1.000	bicubic
78	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	256	86.934	13.066	98.104	1.896	196.74	0.900	bicubic
79	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	224	86.908	13.092	98.004	1.996	116.14	0.950	bicubic
80	convformer_m36.sail_in22k_ft_in1k_384	384	86.892	13.108	98.116	1.884	57.05	1.000	bicubic
81	caformer_s36.sail_in22k_ft_in1k_384	384	86.862	13.138	98.222	1.778	39.30	1.000	bicubic
82	regnety_320.swag_ft_in1k	384	86.860	13.140	98.356	1.644	145.05	1.000	bicubic
83	tf_efficientnet_b7.ns_jft_in1k	600	86.850	13.150	98.080	1.920	66.35	0.949	bicubic
84	hiera_huge_224.mae_in1k_ft_in1k	224	86.834	13.166	98.010	1.990	672.78	0.900	bicubic
85	convnext_base.fb_in22k_ft_in1k_384	384	86.826	13.174	98.244	1.756	88.59	1.000	bicubic
86	beit_base_patch16_384.in22k_ft_in22k_in1k	384	86.816	13.184	98.136	1.864	86.74	1.000	bicubic
87	tf_efficientnetv2_l.in21k_ft_in1k	480	86.800	13.200	98.136	1.864	118.52	1.000	bicubic
88	volo_d4_448.sail_in1k	448	86.790	13.210	97.880	2.120	193.41	1.150	bicubic
89	convnextv2_base.fcmae_ft_in22k_in1k	224	86.776	13.224	98.064	1.936	88.72	1.000	bicubic
90	convnext_large.fb_in22k_ft_in1k	224	86.772	13.228	98.094	1.906	197.77	1.000	bicubic
91	tf_efficientnetv2_xl.in21k_ft_in1k	512	86.756	13.244	98.016	1.984	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	caformer_m36.sail_in22k_ft_in1k	224	86.608	13.392	98.038	1.962	56.20	1.000	bicubic
98	maxvit_base_tf_512.in1k	512	86.600	13.400	97.926	2.074	119.88	1.000	bicubic
99	coatnet_2_rw_224.sw_in12k_ft_in1k	224	86.580	13.420	97.896	2.104	73.87	0.950	bicubic
100	nextvit_large.bd_ssld_6m_in1k_384	384	86.542	13.458	98.132	1.868	57.87	1.000	bicubic
101	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	224	86.540	13.460	97.896	2.104	73.88	0.950	bicubic
102	maxvit_large_tf_512.in1k	512	86.534	13.466	97.880	2.120	212.33	1.000	bicubic
103	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	288	86.528	13.472	98.126	1.874	93.59	1.000	bicubic
104	seresnextaa101d_32x8d.sw_in12k_ft_in1k	288	86.514	13.486	98.036	1.964	93.59	1.000	bicubic
105	volo_d3_448.sail_in1k	448	86.512	13.488	97.710	2.290	86.63	1.000	bicubic
106	beitv2_base_patch16_224.in1k_ft_in22k_in1k	224	86.494	13.506	98.056	1.944	86.53	0.900	bicubic
107	convnext_base.clip_laiona_augreg_ft_in1k_384	384	86.488	13.512	97.962	2.038	88.59	1.000	bicubic
108	cait_m48_448.fb_dist_in1k	448	86.482	13.518	97.746	2.254	356.46	1.000	bicubic
109	tf_efficientnet_b6.ns_jft_in1k	528	86.456	13.544	97.884	2.116	43.04	0.942	bicubic
110	tiny_vit_21m_512.dist_in22k_ft_in1k	512	86.452	13.548	97.884	2.116	21.27	1.000	bicubic
111	swin_base_patch4_window12_384.ms_in22k_ft_in1k	384	86.438	13.562	98.068	1.932	87.90	1.000	bicubic
112	caformer_b36.sail_in1k_384	384	86.404	13.596	97.824	2.176	98.75	1.000	bicubic
113	efficientvit_l3.r384_in1k	384	86.398	13.602	97.634	2.366	246.04	1.000	bicubic
114	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	256	86.386	13.614	97.976	2.024	88.59	1.000	bicubic
115	hgnetv2_b6.ssld_stage2_ft_in1k	288	86.382	13.618	97.938	2.062	75.26	1.000	bicubic
116	convformer_s36.sail_in22k_ft_in1k_384	384	86.380	13.620	97.976	2.024	40.01	1.000	bicubic
117	nextvit_base.bd_ssld_6m_in1k_384	384	86.364	13.636	98.040	1.960	44.82	1.000	bicubic
118	dm_nfnet_f6.dm_in1k	576	86.364	13.636	97.896	2.104	438.36	0.956	bicubic
119	swin_large_patch4_window7_224.ms_in22k_ft_in1k	224	86.330	13.670	97.882	2.118	196.53	0.900	bicubic
120	convnextv2_huge.fcmae_ft_in1k	224	86.316	13.684	97.876	2.124	660.29	1.000	bicubic
121	convnext_base.fb_in22k_ft_in1k	288	86.298	13.702	98.088	1.912	88.59	1.000	bicubic
122	hgnetv2_b6.ssld_stage1_in22k_in1k	288	86.298	13.702	97.940	2.060	75.26	1.000	bicubic
123	maxvit_base_tf_384.in1k	384	86.292	13.708	97.804	2.196	119.65	1.000	bicubic
124	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	256	86.276	13.724	97.908	2.092	87.92	0.900	bicubic
125	maxvit_large_tf_384.in1k	384	86.236	13.764	97.690	2.310	212.03	1.000	bicubic
126	efficientvit_l3.r320_in1k	320	86.230	13.770	97.456	2.544	246.04	1.000	bicubic
127	vit_base_patch8_224.augreg2_in21k_ft_in1k	224	86.228	13.772	97.840	2.160	86.58	0.900	bicubic
128	vit_base_patch16_clip_384.openai_ft_in1k	384	86.218	13.782	97.886	2.114	86.86	1.000	bicubic
129	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	224	86.210	13.790	97.756	2.244	86.57	0.950	bicubic
130	vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	86.208	13.792	97.882	2.118	64.11	0.950	bicubic
131	convnext_small.in12k_ft_in1k_384	384	86.186	13.814	97.920	2.080	50.22	1.000	bicubic
132	vit_large_r50_s32_384.augreg_in21k_ft_in1k	384	86.184	13.816	97.928	2.072	329.09	1.000	bicubic
133	convnext_base.clip_laion2b_augreg_ft_in1k	256	86.184	13.816	97.674	2.326	88.59	1.000	bicubic
134	hgnetv2_b6.ssld_stage2_ft_in1k	224	86.162	13.838	97.870	2.130	75.26	1.000	bicubic
135	caformer_m36.sail_in1k_384	384	86.160	13.840	97.816	2.184	56.20	1.000	bicubic
136	dm_nfnet_f6.dm_in1k	448	86.154	13.846	97.768	2.232	438.36	0.956	bicubic
137	convformer_m36.sail_in22k_ft_in1k	224	86.152	13.848	97.852	2.148	57.05	1.000	bicubic
138	convnextv2_large.fcmae_ft_in1k	288	86.126	13.874	97.818	2.182	197.96	1.000	bicubic
139	tiny_vit_21m_384.dist_in22k_ft_in1k	384	86.108	13.892	97.710	2.290	21.23	1.000	bicubic
140	maxvit_small_tf_512.in1k	512	86.104	13.896	97.758	2.242	69.13	1.000	bicubic
141	tf_efficientnet_b5.ns_jft_in1k	456	86.102	13.898	97.750	2.250	30.39	0.934	bicubic
142	dm_nfnet_f5.dm_in1k	544	86.100	13.900	97.686	2.314	377.21	0.954	bicubic
143	volo_d5_224.sail_in1k	224	86.078	13.922	97.578	2.422	295.46	0.960	bicubic
144	seresnextaa101d_32x8d.sw_in12k_ft_in1k	224	86.068	13.932	97.862	2.138	93.59	1.000	bicubic
145	cait_m36_384.fb_dist_in1k	384	86.064	13.936	97.732	2.268	271.22	1.000	bicubic
146	hgnetv2_b6.ssld_stage1_in22k_in1k	224	86.060	13.940	97.824	2.176	75.26	1.000	bicubic
147	volo_d2_384.sail_in1k	384	86.058	13.942	97.584	2.416	58.87	1.000	bicubic
148	hiera_large_224.mae_in1k_ft_in1k	224	86.044	13.956	97.648	2.352	213.74	0.900	bicubic
149	regnety_160.sw_in12k_ft_in1k	288	86.032	13.968	97.830	2.170	83.59	1.000	bicubic
150	xcit_large_24_p8_384.fb_dist_in1k	384	86.026	13.974	97.690	2.310	188.93	1.000	bicubic
151	regnety_160.swag_ft_in1k	384	86.018	13.982	98.050	1.950	83.59	1.000	bicubic
152	tf_efficientnetv2_m.in21k_ft_in1k	480	86.014	13.986	97.956	2.044	54.14	1.000	bicubic
153	regnety_160.lion_in12k_ft_in1k	288	86.012	13.988	97.846	2.154	83.59	1.000	bicubic
154	vit_base_patch16_384.augreg_in21k_ft_in1k	384	86.006	13.994	97.992	2.008	86.86	1.000	bicubic
155	efficientvit_l2.r384_in1k	384	85.984	14.016	97.510	2.490	63.71	1.000	bicubic
156	nextvit_small.bd_ssld_6m_in1k_384	384	85.968	14.032	97.900	2.100	31.76	1.000	bicubic
157	regnety_1280.swag_lc_in1k	224	85.968	14.032	97.850	2.150	644.81	0.965	bicubic
158	vit_base_patch16_clip_224.openai_ft_in12k_in1k	224	85.962	14.038	97.718	2.282	86.57	0.950	bicubic
159	efficientvit_l3.r256_in1k	256	85.954	14.046	97.338	2.662	246.04	1.000	bicubic
160	efficientnet_b5.sw_in12k_ft_in1k	448	85.892	14.108	97.742	2.258	30.39	1.000	bicubic
161	convnext_base.fb_in22k_ft_in1k	224	85.874	14.126	97.912	2.088	88.59	1.000	bicubic
162	volo_d4_224.sail_in1k	224	85.872	14.128	97.456	2.544	192.96	0.960	bicubic
163	dm_nfnet_f4.dm_in1k	512	85.860	14.140	97.652	2.348	316.07	0.951	bicubic
164	rdnet_large.nv_in1k_ft_in1k_384	384	85.852	14.148	97.676	2.324	186.27	1.000	bicubic
165	vit_large_patch16_224.augreg_in21k_ft_in1k	224	85.850	14.150	97.826	2.174	304.33	0.900	bicubic
166	xcit_medium_24_p8_384.fb_dist_in1k	384	85.842	14.158	97.602	2.398	84.32	1.000	bicubic
167	vit_base_patch8_224.augreg_in21k_ft_in1k	224	85.836	14.164	97.774	2.226	86.58	0.900	bicubic
168	tf_efficientnetv2_l.in21k_ft_in1k	384	85.832	14.168	97.770	2.230	118.52	1.000	bicubic
169	deit3_large_patch16_384.fb_in1k	384	85.818	14.182	97.602	2.398	304.76	1.000	bicubic
170	efficientvit_l3.r224_in1k	224	85.812	14.188	97.210	2.790	246.04	1.000	bicubic
171	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	448	85.800	14.200	97.632	2.368	88.34	1.000	bicubic
172	caformer_s36.sail_in22k_ft_in1k	224	85.786	14.214	97.830	2.170	39.30	1.000	bicubic
173	convnext_small.fb_in22k_ft_in1k_384	384	85.778	14.222	97.892	2.108	50.22	1.000	bicubic
174	convformer_b36.sail_in1k_384	384	85.778	14.222	97.520	2.480	99.88	1.000	bicubic
175	xcit_large_24_p16_384.fb_dist_in1k	384	85.776	14.224	97.528	2.472	189.10	1.000	bicubic
176	eva02_small_patch14_336.mim_in22k_ft_in1k	336	85.760	14.240	97.610	2.390	22.13	1.000	bicubic
177	caformer_s36.sail_in1k_384	384	85.756	14.244	97.668	2.332	39.30	1.000	bicubic
178	deit3_base_patch16_224.fb_in22k_ft_in1k	224	85.728	14.272	97.746	2.254	86.59	1.000	bicubic
179	dm_nfnet_f5.dm_in1k	416	85.716	14.284	97.552	2.448	377.21	0.954	bicubic
180	dm_nfnet_f3.dm_in1k	416	85.672	14.328	97.578	2.422	254.92	0.940	bicubic
181	tf_efficientnetv2_l.in1k	480	85.664	14.336	97.478	2.522	118.52	1.000	bicubic
182	maxvit_tiny_tf_512.in1k	512	85.660	14.340	97.592	2.408	31.05	1.000	bicubic
183	flexivit_large.1200ep_in1k	240	85.644	14.356	97.546	2.454	304.36	0.950	bicubic
184	regnety_160.sw_in12k_ft_in1k	224	85.632	14.368	97.606	2.394	83.59	1.000	bicubic
185	regnety_160.lion_in12k_ft_in1k	224	85.622	14.378	97.666	2.334	83.59	1.000	bicubic
186	efficientvit_l2.r288_in1k	288	85.614	14.386	97.360	2.640	63.71	1.000	bicubic
187	convnextv2_large.fcmae_ft_in1k	224	85.598	14.402	97.618	2.382	197.96	1.000	bicubic
188	beitv2_base_patch16_224.in1k_ft_in1k	224	85.596	14.404	97.514	2.486	86.53	0.900	bicubic
189	xcit_small_24_p8_384.fb_dist_in1k	384	85.582	14.418	97.572	2.428	47.63	1.000	bicubic
190	convformer_m36.sail_in1k_384	384	85.580	14.420	97.548	2.452	57.05	1.000	bicubic
191	tf_efficientnetv2_xl.in21k_ft_in1k	384	85.560	14.440	97.450	2.550	208.12	1.000	bicubic
192	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	384	85.554	14.446	97.640	2.360	39.03	0.950	bicubic
193	maxvit_small_tf_384.in1k	384	85.534	14.466	97.458	2.542	69.02	1.000	bicubic
194	flexivit_large.600ep_in1k	240	85.530	14.470	97.494	2.506	304.36	0.950	bicubic
195	nextvit_large.bd_ssld_6m_in1k	224	85.524	14.476	97.676	2.324	57.87	0.950	bicubic
196	caformer_b36.sail_in1k	224	85.502	14.498	97.316	2.684	98.75	1.000	bicubic
197	dm_nfnet_f4.dm_in1k	384	85.496	14.504	97.490	2.510	316.07	0.951	bicubic
198	vit_base_patch16_clip_224.laion2b_ft_in1k	224	85.494	14.506	97.572	2.428	86.57	1.000	bicubic
199	convnextv2_base.fcmae_ft_in1k	288	85.490	14.510	97.380	2.620	88.72	1.000	bicubic
200	hgnet_base.ssld_in1k	288	85.478	14.522	97.632	2.368	71.58	1.000	bicubic
201	cait_s36_384.fb_dist_in1k	384	85.458	14.542	97.480	2.520	68.37	1.000	bicubic
202	regnety_120.sw_in12k_ft_in1k	288	85.442	14.558	97.572	2.428	51.82	1.000	bicubic
203	volo_d3_224.sail_in1k	224	85.442	14.558	97.276	2.724	86.33	0.960	bicubic
204	xcit_medium_24_p16_384.fb_dist_in1k	384	85.434	14.566	97.408	2.592	84.40	1.000	bicubic
205	convformer_s36.sail_in22k_ft_in1k	224	85.432	14.568	97.572	2.428	40.01	1.000	bicubic
206	deit_base_distilled_patch16_384.fb_in1k	384	85.428	14.572	97.328	2.672	87.63	1.000	bicubic
207	caformer_s18.sail_in22k_ft_in1k_384	384	85.424	14.576	97.712	2.288	26.34	1.000	bicubic
208	vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	85.424	14.576	97.474	2.526	60.40	0.950	bicubic
209	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	384	85.410	14.590	97.660	2.340	88.30	1.000	bicubic
210	xcit_large_24_p8_224.fb_dist_in1k	224	85.402	14.598	97.418	2.582	188.93	1.000	bicubic
211	convformer_s36.sail_in1k_384	384	85.380	14.620	97.470	2.530	40.01	1.000	bicubic
212	efficientvit_l2.r256_in1k	256	85.368	14.632	97.256	2.744	63.71	1.000	bicubic
213	tf_efficientnet_b8.ap_in1k	672	85.366	14.634	97.298	2.702	87.41	0.954	bicubic
214	tf_efficientnet_b8.ra_in1k	672	85.354	14.646	97.390	2.610	87.41	0.954	bicubic
215	convnext_small.in12k_ft_in1k	288	85.324	14.676	97.554	2.446	50.22	1.000	bicubic
216	vit_base_patch16_clip_224.openai_ft_in1k	224	85.286	14.714	97.440	2.560	86.57	0.900	bicubic
217	flexivit_large.300ep_in1k	240	85.282	14.718	97.404	2.596	304.36	0.950	bicubic
218	convnext_small.fb_in22k_ft_in1k	288	85.276	14.724	97.678	2.322	50.22	1.000	bicubic
219	swin_base_patch4_window7_224.ms_in22k_ft_in1k	224	85.270	14.730	97.568	2.432	87.77	0.900	bicubic
220	volo_d1_384.sail_in1k	384	85.266	14.734	97.218	2.782	26.78	1.000	bicubic
221	mvitv2_large.fb_in1k	224	85.264	14.736	97.188	2.812	217.99	0.900	bicubic
222	beit_base_patch16_224.in22k_ft_in22k_in1k	224	85.244	14.756	97.652	2.348	86.53	0.900	bicubic
223	caformer_m36.sail_in1k	224	85.240	14.760	97.206	2.794	56.20	1.000	bicubic
224	vit_base_patch32_clip_384.openai_ft_in12k_in1k	384	85.226	14.774	97.398	2.602	88.30	0.950	bicubic
225	deit3_huge_patch14_224.fb_in1k	224	85.222	14.778	97.362	2.638	632.13	0.900	bicubic
226	tf_efficientnetv2_m.in1k	480	85.212	14.788	97.366	2.634	54.14	1.000	bicubic
227	inception_next_base.sail_in1k_384	384	85.202	14.798	97.424	2.576	86.67	1.000	bicubic
228	tf_efficientnetv2_l.in1k	384	85.202	14.798	97.278	2.722	118.52	1.000	bicubic
229	volo_d2_224.sail_in1k	224	85.202	14.798	97.186	2.814	58.68	0.960	bicubic
230	nextvit_base.bd_ssld_6m_in1k	224	85.182	14.818	97.594	2.406	44.82	0.950	bicubic
231	tf_efficientnet_b4.ns_jft_in1k	380	85.176	14.824	97.488	2.512	19.34	0.922	bicubic
232	dm_nfnet_f2.dm_in1k	352	85.174	14.826	97.328	2.672	193.78	0.920	bicubic
233	convnext_tiny.in12k_ft_in1k_384	384	85.154	14.846	97.634	2.366	28.59	1.000	bicubic
234	hgnetv2_b5.ssld_stage2_ft_in1k	288	85.150	14.850	97.600	2.400	39.57	1.000	bicubic
235	convnext_small.in12k_ft_in1k	224	85.146	14.854	97.562	2.438	50.22	1.000	bicubic
236	regnety_2560.seer_ft_in1k	384	85.140	14.860	97.444	2.556	1,282.60	1.000	bicubic
237	hiera_base_plus_224.mae_in1k_ft_in1k	224	85.134	14.866	97.158	2.842	69.90	0.900	bicubic
238	tf_efficientnet_b7.ap_in1k	600	85.132	14.868	97.256	2.744	66.35	0.949	bicubic
239	vit_base_patch16_224.augreg2_in21k_ft_in1k	224	85.110	14.890	97.538	2.462	86.57	0.900	bicubic
240	convnextv2_tiny.fcmae_ft_in22k_in1k_384	384	85.106	14.894	97.632	2.368	28.64	1.000	bicubic
241	maxvit_tiny_tf_384.in1k	384	85.102	14.898	97.382	2.618	30.98	1.000	bicubic
242	xcit_small_24_p16_384.fb_dist_in1k	384	85.102	14.898	97.318	2.682	47.67	1.000	bicubic
243	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	224	85.098	14.902	97.442	2.558	468.53	0.875	bilinear
244	dm_nfnet_f3.dm_in1k	320	85.096	14.904	97.386	2.614	254.92	0.940	bicubic
245	tiny_vit_21m_224.dist_in22k_ft_in1k	224	85.088	14.912	97.356	2.644	21.20	0.950	bicubic
246	deit3_base_patch16_384.fb_in1k	384	85.086	14.914	97.248	2.752	86.88	1.000	bicubic
247	xcit_medium_24_p8_224.fb_dist_in1k	224	85.076	14.924	97.274	2.726	84.32	1.000	bicubic
248	xcit_small_12_p8_384.fb_dist_in1k	384	85.072	14.928	97.262	2.738	26.21	1.000	bicubic
249	efficientvit_l2.r224_in1k	224	85.044	14.956	97.098	2.902	63.71	1.000	bicubic
250	cait_s24_384.fb_dist_in1k	384	85.042	14.958	97.350	2.650	47.06	1.000	bicubic
251	caformer_s18.sail_in1k_384	384	85.038	14.962	97.356	2.644	26.34	1.000	bicubic
252	regnetz_e8.ra3_in1k	320	85.034	14.966	97.270	2.730	57.70	1.000	bicubic
253	convformer_s18.sail_in22k_ft_in1k_384	384	85.026	14.974	97.580	2.420	26.77	1.000	bicubic
254	resnetrs420.tf_in1k	416	85.014	14.986	97.116	2.884	191.89	1.000	bicubic
255	vit_base_r50_s16_384.orig_in21k_ft_in1k	384	84.994	15.006	97.304	2.696	98.95	1.000	bicubic
256	regnety_120.sw_in12k_ft_in1k	224	84.990	15.010	97.440	2.560	51.82	1.000	bicubic
257	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	544	84.990	15.010	97.284	2.716	32.59	1.000	bicubic
258	ecaresnet269d.ra2_in1k	352	84.972	15.028	97.224	2.776	102.09	1.000	bicubic
259	vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	84.944	15.056	97.388	2.612	38.88	0.950	bicubic
260	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	224	84.940	15.060	96.966	3.034	41.72	0.950	bicubic
261	xcit_large_24_p16_224.fb_dist_in1k	224	84.936	15.064	97.128	2.872	189.10	1.000	bicubic
262	nextvit_large.bd_in1k_384	384	84.934	15.066	97.298	2.702	57.87	1.000	bicubic
263	tf_efficientnet_b7.ra_in1k	600	84.930	15.070	97.200	2.800	66.35	0.949	bicubic
264	maxvit_large_tf_224.in1k	224	84.928	15.072	96.978	3.022	211.79	0.950	bicubic
265	hgnetv2_b5.ssld_stage1_in22k_in1k	288	84.924	15.076	97.514	2.486	39.57	1.000	bicubic
266	resnetv2_152x4_bit.goog_in21k_ft_in1k	480	84.924	15.076	97.458	2.542	936.53	1.000	bilinear
267	hgnet_base.ssld_in1k	224	84.918	15.082	97.332	2.668	71.58	1.000	bicubic
268	coat_lite_medium_384.in1k	384	84.894	15.106	97.376	2.624	44.57	1.000	bicubic
269	ecaresnet269d.ra2_in1k	320	84.882	15.118	97.206	2.794	102.09	1.000	bicubic
270	xcit_small_24_p8_224.fb_dist_in1k	224	84.876	15.124	97.200	2.800	47.63	1.000	bicubic
271	maxvit_base_tf_224.in1k	224	84.872	15.128	97.002	2.998	119.47	0.950	bicubic
272	convnextv2_base.fcmae_ft_in1k	224	84.868	15.132	97.060	2.940	88.72	1.000	bicubic
273	convnext_large.fb_in1k	288	84.862	15.138	97.210	2.790	197.77	1.000	bicubic
274	nextvit_small.bd_ssld_6m_in1k	224	84.856	15.144	97.380	2.620	31.76	0.950	bicubic
275	deit3_small_patch16_384.fb_in22k_ft_in1k	384	84.842	15.158	97.482	2.518	22.21	1.000	bicubic
276	convformer_b36.sail_in1k	224	84.830	15.170	96.950	3.050	99.88	1.000	bicubic
277	efficientnetv2_rw_m.agc_in1k	416	84.826	15.174	97.146	2.854	53.24	1.000	bicubic
278	rdnet_large.nv_in1k	224	84.792	15.208	97.142	2.858	186.27	0.900	bicubic
279	tf_efficientnet_b6.ap_in1k	528	84.790	15.210	97.138	2.862	43.04	0.942	bicubic
280	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	480	84.780	15.220	97.342	2.658	32.59	1.000	bicubic
281	deit3_large_patch16_224.fb_in1k	224	84.778	15.222	97.046	2.954	304.37	0.900	bicubic
282	tf_efficientnetv2_m.in21k_ft_in1k	384	84.768	15.232	97.434	2.566	54.14	1.000	bicubic
283	convnext_small.fb_in22k_ft_in1k	224	84.746	15.254	97.502	2.498	50.22	1.000	bicubic
284	xcit_small_12_p16_384.fb_dist_in1k	384	84.736	15.264	97.136	2.864	26.25	1.000	bicubic
285	nextvit_base.bd_in1k_384	384	84.726	15.274	97.224	2.776	44.82	1.000	bicubic
286	resnetrs350.tf_in1k	384	84.724	15.276	96.974	3.026	163.96	1.000	bicubic
287	eca_nfnet_l2.ra3_in1k	384	84.710	15.290	97.256	2.744	56.72	1.000	bicubic
288	hgnetv2_b5.ssld_stage2_ft_in1k	224	84.704	15.296	97.292	2.708	39.57	1.000	bicubic
289	dm_nfnet_f1.dm_in1k	320	84.696	15.304	97.180	2.820	132.63	0.910	bicubic
290	flexivit_base.1200ep_in1k	240	84.688	15.312	97.020	2.980	86.59	0.950	bicubic
291	davit_base.msft_in1k	224	84.650	15.350	97.018	2.982	87.95	0.950	bicubic
292	maxxvit_rmlp_small_rw_256.sw_in1k	256	84.640	15.360	97.062	2.938	66.01	0.950	bicubic
293	regnety_320.swag_lc_in1k	224	84.622	15.378	97.486	2.514	145.05	0.965	bicubic
294	swinv2_base_window16_256.ms_in1k	256	84.608	15.392	97.064	2.936	87.92	0.900	bicubic
295	fastvit_ma36.apple_dist_in1k	256	84.606	15.394	97.006	2.994	44.07	0.950	bicubic
296	coatnet_rmlp_2_rw_224.sw_in1k	224	84.602	15.398	96.746	3.254	73.88	0.950	bicubic
297	rexnetr_300.sw_in12k_ft_in1k	288	84.588	15.412	97.280	2.720	34.81	1.000	bicubic
298	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	448	84.588	15.412	97.130	2.870	32.59	1.000	bicubic
299	seresnextaa101d_32x8d.ah_in1k	288	84.578	15.422	97.074	2.926	93.59	1.000	bicubic
300	deit3_medium_patch16_224.fb_in22k_ft_in1k	224	84.566	15.434	97.178	2.822	38.85	1.000	bicubic
301	flexivit_base.600ep_in1k	240	84.560	15.440	96.910	3.090	86.59	0.950	bicubic
302	tf_efficientnetv2_m.in1k	384	84.558	15.442	97.056	2.944	54.14	1.000	bicubic
303	caformer_s36.sail_in1k	224	84.544	15.456	97.010	2.990	39.30	1.000	bicubic
304	resnest269e.in1k	416	84.540	15.460	96.990	3.010	110.93	0.928	bicubic
305	vit_base_patch16_224.augreg_in21k_ft_in1k	224	84.532	15.468	97.298	2.702	86.57	0.900	bicubic
306	hiera_base_224.mae_in1k_ft_in1k	224	84.526	15.474	97.040	2.960	51.52	0.900	bicubic
307	resnetv2_152x2_bit.goog_in21k_ft_in1k	448	84.510	15.490	97.434	2.566	236.34	1.000	bilinear
308	regnetz_040_h.ra3_in1k	320	84.510	15.490	97.016	2.984	28.94	1.000	bicubic
309	convformer_m36.sail_in1k	224	84.486	15.514	96.866	3.134	57.05	1.000	bicubic
310	hrnet_w48_ssld.paddle_in1k	288	84.484	15.516	97.226	2.774	77.47	1.000	bilinear
311	maxvit_rmlp_small_rw_224.sw_in1k	224	84.484	15.516	96.774	3.226	64.90	0.900	bicubic
312	swin_base_patch4_window12_384.ms_in1k	384	84.476	15.524	96.886	3.114	87.90	1.000	bicubic
313	convnext_base.fb_in1k	288	84.466	15.534	96.982	3.018	88.59	1.000	bicubic
314	efficientvit_l1.r224_in1k	224	84.456	15.544	96.858	3.142	52.65	1.000	bicubic
315	gcvit_base.in1k	224	84.454	15.546	96.850	3.150	90.32	0.875	bicubic
316	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	256	84.450	15.550	97.218	2.782	38.86	0.950	bicubic
317	mvitv2_base.fb_in1k	224	84.450	15.550	96.858	3.142	51.47	0.900	bicubic
318	maxvit_small_tf_224.in1k	224	84.450	15.550	96.828	3.172	68.93	0.950	bicubic
319	convnext_tiny.in12k_ft_in1k	288	84.448	15.552	97.328	2.672	28.59	1.000	bicubic
320	resnetrs200.tf_in1k	320	84.444	15.556	97.074	2.926	93.21	1.000	bicubic
321	resnetrs270.tf_in1k	352	84.444	15.556	96.972	3.028	129.86	1.000	bicubic
322	regnetz_e8.ra3_in1k	256	84.442	15.558	97.016	2.984	57.70	1.000	bicubic
323	vit_large_r50_s32_224.augreg_in21k_ft_in1k	224	84.432	15.568	97.152	2.848	328.99	0.900	bicubic
324	resnetv2_101x3_bit.goog_in21k_ft_in1k	448	84.430	15.570	97.380	2.620	387.93	1.000	bilinear
325	regnety_1280.seer_ft_in1k	384	84.428	15.572	97.084	2.916	644.81	1.000	bicubic
326	tf_efficientnet_b7.aa_in1k	600	84.424	15.576	96.908	3.092	66.35	0.949	bicubic
327	convnextv2_tiny.fcmae_ft_in22k_in1k	288	84.422	15.578	97.254	2.746	28.64	1.000	bicubic
328	eca_nfnet_l2.ra3_in1k	320	84.408	15.592	97.060	2.940	56.72	1.000	bicubic
329	seresnext101d_32x8d.ah_in1k	288	84.402	15.598	96.922	3.078	93.59	1.000	bicubic
330	flexivit_base.300ep_in1k	240	84.402	15.598	96.886	3.114	86.59	0.950	bicubic
331	convformer_s18.sail_in1k_384	384	84.394	15.606	97.112	2.888	26.77	1.000	bicubic
332	resmlp_big_24_224.fb_in22k_ft_in1k	224	84.388	15.612	97.108	2.892	129.14	0.875	bicubic
333	hgnetv2_b5.ssld_stage1_in22k_in1k	224	84.386	15.614	97.234	2.766	39.57	1.000	bicubic
334	xcit_large_24_p8_224.fb_in1k	224	84.386	15.614	96.666	3.334	188.93	1.000	bicubic
335	hgnet_small.ssld_in1k	288	84.378	15.622	97.130	2.870	24.36	1.000	bicubic
336	mobilenetv4_hybrid_large.ix_e600_r384_in1k	448	84.364	15.636	96.908	3.092	37.76	1.000	bicubic
337	rdnet_base.nv_in1k	224	84.360	15.640	96.876	3.124	87.45	0.900	bicubic
338	seresnet152d.ra2_in1k	320	84.340	15.660	97.040	2.960	66.84	1.000	bicubic
339	tf_efficientnetv2_s.in21k_ft_in1k	384	84.332	15.668	97.274	2.726	21.46	1.000	bicubic
340	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	384	84.326	15.674	97.046	2.954	32.59	1.000	bicubic
341	vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k	256	84.322	15.678	96.812	3.188	63.95	0.950	bicubic
342	efficientnetv2_rw_m.agc_in1k	320	84.312	15.688	96.872	3.128	53.24	1.000	bicubic
343	resnetrs350.tf_in1k	288	84.304	15.696	96.936	3.064	163.96	1.000	bicubic
344	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	224	84.298	15.702	97.174	2.826	88.79	0.875	bilinear
345	xcit_medium_24_p16_224.fb_dist_in1k	224	84.288	15.712	96.936	3.064	84.40	1.000	bicubic
346	mobilenetv4_hybrid_large.e600_r384_in1k	448	84.272	15.728	96.950	3.050	37.76	1.000	bicubic
347	vit_base_patch16_224_miil.in21k_ft_in1k	224	84.272	15.728	96.798	3.202	86.54	0.875	bilinear
348	davit_small.msft_in1k	224	84.266	15.734	96.930	3.070	49.75	0.950	bicubic
349	convnext_large.fb_in1k	224	84.260	15.740	96.986	3.014	197.77	1.000	bicubic
350	regnetz_040.ra3_in1k	320	84.256	15.744	96.934	3.066	27.12	1.000	bicubic
351	tf_efficientnet_b5.ap_in1k	456	84.254	15.746	96.978	3.022	30.39	0.934	bicubic
352	resnetrs420.tf_in1k	320	84.252	15.748	96.866	3.134	191.89	1.000	bicubic
353	xcit_small_12_p8_224.fb_dist_in1k	224	84.250	15.750	96.874	3.126	26.21	1.000	bicubic
354	swinv2_base_window8_256.ms_in1k	256	84.246	15.754	96.902	3.098	87.92	0.900	bicubic
355	maxvit_rmlp_tiny_rw_256.sw_in1k	256	84.240	15.760	96.784	3.216	29.15	0.950	bicubic
356	swinv2_small_window16_256.ms_in1k	256	84.216	15.784	96.874	3.126	49.73	0.900	bicubic
357	vit_base_patch16_384.orig_in21k_ft_in1k	384	84.208	15.792	97.220	2.780	86.86	1.000	bicubic
358	crossvit_18_dagger_408.in1k	408	84.202	15.798	96.832	3.168	44.61	1.000	bicubic
359	seresnext101_32x8d.ah_in1k	288	84.194	15.806	96.862	3.138	93.57	1.000	bicubic
360	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	224	84.164	15.836	97.188	2.812	194.03	0.875	bilinear
361	efficientvit_b3.r288_in1k	288	84.156	15.844	96.732	3.268	48.65	1.000	bicubic
362	regnetz_d8_evos.ch_in1k	320	84.152	15.848	97.020	2.980	23.46	1.000	bicubic
363	volo_d1_224.sail_in1k	224	84.152	15.848	96.774	3.226	26.63	0.960	bicubic
364	tf_efficientnet_b6.aa_in1k	528	84.118	15.882	96.892	3.108	43.04	0.942	bicubic
365	resnetaa101d.sw_in12k_ft_in1k	288	84.104	15.896	97.118	2.882	44.57	1.000	bicubic
366	convnext_tiny.fb_in22k_ft_in1k_384	384	84.098	15.902	97.138	2.862	28.59	1.000	bicubic
367	inception_next_base.sail_in1k	224	84.098	15.902	96.782	3.218	86.67	0.950	bicubic
368	dm_nfnet_f2.dm_in1k	256	84.092	15.908	96.906	3.094	193.78	0.920	bicubic
369	caformer_s18.sail_in22k_ft_in1k	224	84.086	15.914	97.188	2.812	26.34	1.000	bicubic
370	edgenext_base.in21k_ft_in1k	320	84.076	15.924	97.208	2.792	18.51	1.000	bicubic
371	vit_small_r26_s32_384.augreg_in21k_ft_in1k	384	84.074	15.926	97.314	2.686	36.47	1.000	bicubic
372	convformer_s36.sail_in1k	224	84.072	15.928	96.756	3.244	40.01	1.000	bicubic
373	tf_efficientnet_b3.ns_jft_in1k	300	84.064	15.936	96.900	3.100	12.23	0.904	bicubic
374	cait_xs24_384.fb_dist_in1k	384	84.064	15.936	96.882	3.118	26.67	1.000	bicubic
375	eca_nfnet_l1.ra2_in1k	320	84.050	15.950	97.034	2.966	41.41	1.000	bicubic
376	regnetz_d8.ra3_in1k	320	84.042	15.958	97.002	2.998	23.37	1.000	bicubic
377	nextvit_small.bd_in1k_384	384	84.034	15.966	96.988	3.012	31.76	1.000	bicubic
378	fastvit_sa36.apple_dist_in1k	256	84.032	15.968	96.850	3.150	31.53	0.900	bicubic
379	regnetz_d32.ra3_in1k	320	84.030	15.970	96.874	3.126	27.58	0.950	bicubic
380	resnetv2_50x3_bit.goog_in21k_ft_in1k	448	84.020	15.980	97.126	2.874	217.32	1.000	bilinear
381	rexnetr_300.sw_in12k_ft_in1k	224	84.020	15.980	96.984	3.016	34.81	1.000	bicubic
382	convnext_tiny.in12k_ft_in1k	224	83.996	16.004	97.088	2.912	28.59	1.000	bicubic
383	mobilenetv4_hybrid_large.ix_e600_r384_in1k	384	83.982	16.018	96.724	3.276	37.76	1.000	bicubic
384	resnet200d.ra2_in1k	320	83.976	16.024	96.820	3.180	64.69	1.000	bicubic
385	edgenext_base.usi_in1k	320	83.966	16.034	96.770	3.230	18.51	1.000	bicubic
386	regnety_080.ra3_in1k	288	83.940	16.060	96.880	3.120	39.18	1.000	bicubic
387	mobilenetv4_hybrid_large.e600_r384_in1k	384	83.936	16.064	96.736	3.264	37.76	1.000	bicubic
388	hgnetv2_b4.ssld_stage2_ft_in1k	288	83.934	16.066	97.064	2.936	19.80	1.000	bicubic
389	swin_s3_base_224.ms_in1k	224	83.920	16.080	96.658	3.342	71.13	0.900	bicubic
390	regnety_640.seer_ft_in1k	384	83.916	16.084	96.920	3.080	281.38	1.000	bicubic
391	vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k	256	83.910	16.090	96.686	3.314	60.23	0.950	bicubic
392	gcvit_small.in1k	224	83.908	16.092	96.660	3.340	51.09	0.875	bicubic
393	tresnet_v2_l.miil_in21k_ft_in1k	224	83.902	16.098	96.496	3.504	46.17	0.875	bilinear
394	tf_efficientnetv2_s.in1k	384	83.896	16.104	96.698	3.302	21.46	1.000	bicubic
395	vit_base_patch16_rope_reg1_gap_256.sbb_in1k	256	83.890	16.110	96.674	3.326	86.43	0.950	bicubic
396	convnext_base.fb_in1k	224	83.888	16.112	96.810	3.190	88.59	1.000	bicubic
397	hiera_small_224.mae_in1k_ft_in1k	224	83.886	16.114	96.680	3.320	35.01	0.900	bicubic
398	fastvit_ma36.apple_in1k	256	83.884	16.116	96.762	3.238	44.07	0.950	bicubic
399	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	384	83.882	16.118	97.116	2.884	236.34	1.000	bicubic
400	resnetrs200.tf_in1k	256	83.882	16.118	96.760	3.240	93.21	1.000	bicubic
401	xcit_small_24_p16_224.fb_dist_in1k	224	83.878	16.122	96.734	3.266	47.67	1.000	bicubic
402	resnest200e.in1k	320	83.872	16.128	96.876	3.124	70.20	0.909	bicubic
403	convnextv2_tiny.fcmae_ft_in22k_in1k	224	83.866	16.134	97.016	2.984	28.64	1.000	bicubic
404	xcit_small_24_p8_224.fb_in1k	224	83.854	16.146	96.636	3.364	47.63	1.000	bicubic
405	swinv2_small_window8_256.ms_in1k	256	83.844	16.156	96.650	3.350	49.73	0.900	bicubic
406	crossvit_15_dagger_408.in1k	408	83.840	16.160	96.780	3.220	28.50	1.000	bicubic
407	mobilenetv4_conv_aa_large.e600_r384_in1k	480	83.832	16.168	96.732	3.268	32.59	1.000	bicubic
408	tf_efficientnet_b5.ra_in1k	456	83.828	16.172	96.766	3.234	30.39	0.934	bicubic
409	focalnet_base_lrf.ms_in1k	224	83.828	16.172	96.614	3.386	88.75	0.900	bicubic
410	efficientnetv2_rw_s.ra2_in1k	384	83.826	16.174	96.724	3.276	23.94	1.000	bicubic
411	vit_medium_patch16_rope_reg1_gap_256.sbb_in1k	256	83.812	16.188	96.822	3.178	38.74	0.950	bicubic
412	regnety_160.swag_lc_in1k	224	83.808	16.192	97.284	2.716	83.59	0.965	bicubic
413	focalnet_base_srf.ms_in1k	224	83.808	16.192	96.660	3.340	88.15	0.900	bicubic
414	vit_small_patch16_384.augreg_in21k_ft_in1k	384	83.804	16.196	97.108	2.892	22.20	1.000	bicubic
415	efficientvit_b3.r256_in1k	256	83.804	16.196	96.510	3.490	48.65	1.000	bicubic
416	vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	256	83.802	16.198	96.958	3.042	22.52	0.950	bicubic
417	deit3_base_patch16_224.fb_in1k	224	83.794	16.206	96.582	3.418	86.59	0.900	bicubic
418	xcit_tiny_24_p8_384.fb_dist_in1k	384	83.784	16.216	96.716	3.284	12.11	1.000	bicubic
419	swin_s3_small_224.ms_in1k	224	83.778	16.222	96.460	3.540	49.74	0.900	bicubic
420	pit_b_distilled_224.in1k	224	83.774	16.226	96.468	3.532	74.79	0.900	bicubic
421	mvitv2_small.fb_in1k	224	83.772	16.228	96.558	3.442	34.87	0.900	bicubic
422	regnetz_040_h.ra3_in1k	256	83.768	16.232	96.692	3.308	28.94	1.000	bicubic
423	pvt_v2_b5.in1k	224	83.768	16.232	96.632	3.368	81.96	0.900	bicubic
424	seresnextaa101d_32x8d.ah_in1k	224	83.766	16.234	96.648	3.352	93.59	1.000	bicubic
425	convformer_s18.sail_in22k_ft_in1k	224	83.762	16.238	97.044	2.956	26.77	1.000	bicubic
426	hgnet_small.ssld_in1k	224	83.760	16.240	96.862	3.138	24.36	1.000	bicubic
427	regnetv_064.ra3_in1k	288	83.748	16.252	96.746	3.254	30.58	1.000	bicubic
428	repvit_m2_3.dist_450e_in1k	224	83.742	16.258	96.642	3.358	23.69	0.950	bicubic
429	xcit_medium_24_p8_224.fb_in1k	224	83.742	16.258	96.392	3.608	84.32	1.000	bicubic
430	seresnext101d_32x8d.ah_in1k	224	83.714	16.286	96.562	3.438	93.59	1.000	bicubic
431	regnety_064.ra3_in1k	288	83.712	16.288	96.728	3.272	30.58	1.000	bicubic
432	pvt_v2_b4.in1k	224	83.712	16.288	96.670	3.330	62.56	0.900	bicubic
433	resnetrs152.tf_in1k	320	83.710	16.290	96.610	3.390	86.62	1.000	bicubic
434	vit_betwixt_patch16_reg4_gap_256.sbb_in1k	256	83.708	16.292	96.618	3.382	60.40	0.950	bicubic
435	convnext_small.fb_in1k	288	83.704	16.296	96.816	3.184	50.22	1.000	bicubic
436	regnety_160.deit_in1k	288	83.700	16.300	96.786	3.214	83.59	1.000	bicubic
437	tf_efficientnet_b5.aa_in1k	456	83.696	16.304	96.714	3.286	30.39	0.934	bicubic
438	twins_svt_large.in1k	224	83.690	16.310	96.614	3.386	99.27	0.900	bicubic
439	edgenext_base.usi_in1k	256	83.686	16.314	96.640	3.360	18.51	1.000	bicubic
440	resnet152d.ra2_in1k	320	83.684	16.316	96.750	3.250	60.21	1.000	bicubic
441	caformer_s18.sail_in1k	224	83.668	16.332	96.520	3.480	26.34	1.000	bicubic
442	rdnet_small.nv_in1k	224	83.660	16.340	96.714	3.286	50.44	0.900	bicubic
443	regnetz_040.ra3_in1k	256	83.660	16.340	96.684	3.316	27.12	1.000	bicubic
444	vit_betwixt_patch16_reg1_gap_256.sbb_in1k	256	83.644	16.356	96.546	3.454	60.40	0.950	bicubic
445	nextvit_large.bd_in1k	224	83.642	16.358	96.684	3.316	57.87	0.950	bicubic
446	seresnet152d.ra2_in1k	256	83.640	16.360	96.738	3.262	66.84	1.000	bicubic
447	efficientformerv2_l.snap_dist_in1k	224	83.640	16.360	96.540	3.460	26.32	0.950	bicubic
448	hrnet_w48_ssld.paddle_in1k	224	83.614	16.386	96.830	3.170	77.47	1.000	bilinear
449	coatnet_1_rw_224.sw_in1k	224	83.612	16.388	96.382	3.618	41.72	0.950	bicubic
450	swin_base_patch4_window7_224.ms_in1k	224	83.610	16.390	96.450	3.550	87.77	0.900	bicubic
451	coat_lite_medium.in1k	224	83.602	16.398	96.714	3.286	44.57	0.900	bicubic
452	resmlp_big_24_224.fb_distilled_in1k	224	83.594	16.406	96.654	3.346	129.14	0.875	bicubic
453	resnetrs270.tf_in1k	256	83.594	16.406	96.616	3.384	129.86	1.000	bicubic
454	inception_next_small.sail_in1k	224	83.584	16.416	96.598	3.402	49.37	0.875	bicubic
455	hgnetv2_b3.ssld_stage2_ft_in1k	288	83.580	16.420	96.814	3.186	16.29	1.000	bicubic
456	resnetaa101d.sw_in12k_ft_in1k	224	83.556	16.444	96.758	3.242	44.57	1.000	bicubic
457	repvgg_d2se.rvgg_in1k	320	83.554	16.446	96.664	3.336	133.33	1.000	bilinear
458	nest_base_jx.goog_in1k	224	83.546	16.454	96.366	3.634	67.72	0.875	bicubic
459	cs3se_edgenet_x.c2ns_in1k	320	83.544	16.456	96.664	3.336	50.72	1.000	bicubic
460	seresnext101_32x8d.ah_in1k	224	83.536	16.464	96.342	3.658	93.57	1.000	bicubic
461	regnetz_d8_evos.ch_in1k	256	83.532	16.468	96.714	3.286	23.46	1.000	bicubic
462	repvit_m2_3.dist_300e_in1k	224	83.524	16.476	96.532	3.468	23.69	0.950	bicubic
463	maxvit_tiny_rw_224.sw_in1k	224	83.522	16.478	96.488	3.512	29.06	0.950	bicubic
464	focalnet_small_lrf.ms_in1k	224	83.508	16.492	96.586	3.414	50.34	0.900	bicubic
465	fastvit_sa36.apple_in1k	256	83.504	16.496	96.630	3.370	31.53	0.900	bicubic
466	nextvit_base.bd_in1k	224	83.496	16.504	96.646	3.354	44.82	0.950	bicubic
467	resnet152.a1h_in1k	288	83.494	16.506	96.522	3.478	60.19	1.000	bicubic
468	swinv2_cr_small_ns_224.sw_in1k	224	83.490	16.510	96.486	3.514	49.70	0.900	bicubic
469	cait_s24_224.fb_dist_in1k	224	83.484	16.516	96.586	3.414	46.92	1.000	bicubic
470	convnextv2_tiny.fcmae_ft_in1k	288	83.476	16.524	96.718	3.282	28.64	1.000	bicubic
471	dm_nfnet_f0.dm_in1k	256	83.472	16.528	96.568	3.432	71.49	0.900	bicubic
472	regnetz_d8.ra3_in1k	256	83.468	16.532	96.782	3.218	23.37	1.000	bicubic
473	vit_medium_patch16_reg4_gap_256.sbb_in1k	256	83.468	16.532	96.622	3.378	38.88	0.950	bicubic
474	efficientnet_b4.ra2_in1k	384	83.468	16.532	96.578	3.422	19.34	1.000	bicubic
475	vit_medium_patch16_reg1_gap_256.sbb_in1k	256	83.458	16.542	96.522	3.478	38.88	0.950	bicubic
476	hgnetv2_b4.ssld_stage2_ft_in1k	224	83.456	16.544	96.702	3.298	19.80	1.000	bicubic
477	dm_nfnet_f1.dm_in1k	224	83.452	16.548	96.632	3.368	132.63	0.910	bicubic
478	hgnetv2_b4.ssld_stage1_in22k_in1k	288	83.448	16.552	96.922	3.078	19.80	1.000	bicubic
479	efficientvit_b3.r224_in1k	224	83.444	16.556	96.338	3.662	48.65	0.950	bicubic
480	edgenext_base.in21k_ft_in1k	256	83.434	16.566	96.842	3.158	18.51	1.000	bicubic
481	regnetz_d32.ra3_in1k	256	83.434	16.566	96.636	3.364	27.58	0.950	bicubic
482	focalnet_small_srf.ms_in1k	224	83.430	16.570	96.434	3.566	49.89	0.900	bicubic
483	deit3_small_patch16_384.fb_in1k	384	83.428	16.572	96.674	3.326	22.21	1.000	bicubic
484	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	448	83.422	16.578	96.732	3.268	11.07	1.000	bicubic
485	maxvit_tiny_tf_224.in1k	224	83.420	16.580	96.588	3.412	30.92	0.950	bicubic
486	mobilenetv4_conv_large.e600_r384_in1k	448	83.418	16.582	96.612	3.388	32.59	1.000	bicubic
487	mobilevitv2_200.cvnets_in22k_ft_in1k_384	384	83.410	16.590	96.572	3.428	18.45	1.000	bicubic
488	gcvit_tiny.in1k	224	83.396	16.604	96.392	3.608	28.22	0.875	bicubic
489	sequencer2d_l.in1k	224	83.394	16.606	96.496	3.504	54.30	0.875	bicubic
490	deit_base_distilled_patch16_224.fb_in1k	224	83.388	16.612	96.490	3.510	87.34	0.900	bicubic
491	efficientformer_l7.snap_dist_in1k	224	83.386	16.614	96.538	3.462	82.23	0.950	bicubic
492	tf_efficientnetv2_s.in21k_ft_in1k	300	83.372	16.628	96.710	3.290	21.46	1.000	bicubic
493	convnextv2_nano.fcmae_ft_in22k_in1k_384	384	83.362	16.638	96.740	3.260	15.62	1.000	bicubic
494	fastvit_sa24.apple_dist_in1k	256	83.362	16.638	96.576	3.424	21.55	0.900	bicubic
495	xcit_small_12_p8_224.fb_in1k	224	83.356	16.644	96.474	3.526	26.21	1.000	bicubic
496	resnet200d.ra2_in1k	256	83.354	16.646	96.494	3.506	64.69	1.000	bicubic
497	coatnet_rmlp_1_rw_224.sw_in1k	224	83.354	16.646	96.452	3.548	41.69	0.950	bicubic
498	xcit_small_12_p16_224.fb_dist_in1k	224	83.354	16.646	96.424	3.576	26.25	1.000	bicubic
499	vit_base_patch32_384.augreg_in21k_ft_in1k	384	83.352	16.648	96.832	3.168	88.30	1.000	bicubic
500	eca_nfnet_l1.ra2_in1k	256	83.348	16.652	96.682	3.318	41.41	1.000	bicubic
501	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	224	83.346	16.654	96.844	3.156	194.03	0.875	bilinear
502	regnety_320.seer_ft_in1k	384	83.334	16.666	96.712	3.288	145.05	1.000	bicubic
503	swin_small_patch4_window7_224.ms_in22k_ft_in1k	224	83.330	16.670	96.996	3.004	49.61	0.900	bicubic
504	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	224	83.306	16.694	96.530	3.470	88.22	0.900	bicubic
505	tiny_vit_21m_224.in1k	224	83.270	16.730	96.602	3.398	21.20	0.950	bicubic
506	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	224	83.268	16.732	96.760	3.240	44.18	0.875	bilinear
507	tf_efficientnet_b4.ap_in1k	380	83.250	16.750	96.390	3.610	19.34	0.922	bicubic
508	tiny_vit_11m_224.dist_in22k_ft_in1k	224	83.232	16.768	96.628	3.372	11.00	0.950	bicubic
509	swin_small_patch4_window7_224.ms_in1k	224	83.228	16.772	96.326	3.674	49.61	0.900	bicubic
510	regnetv_040.ra3_in1k	288	83.200	16.800	96.658	3.342	20.64	1.000	bicubic
511	xception65.ra3_in1k	299	83.184	16.816	96.598	3.402	39.92	0.940	bicubic
512	regnety_320.tv2_in1k	224	83.174	16.826	96.418	3.582	145.05	0.965	bicubic
513	tf_efficientnetv2_s.in1k	300	83.172	16.828	96.336	3.664	21.46	1.000	bicubic
514	rexnetr_200.sw_in12k_ft_in1k	288	83.168	16.832	96.654	3.346	16.52	1.000	bicubic
515	twins_pcpvt_large.in1k	224	83.168	16.832	96.610	3.390	60.99	0.900	bicubic
516	tf_efficientnet_b5.in1k	456	83.166	16.834	96.528	3.472	30.39	0.934	bicubic
517	xception65p.ra3_in1k	299	83.164	16.836	96.500	3.500	39.82	0.940	bicubic
518	resnext101_64x4d.c1_in1k	288	83.158	16.842	96.370	3.630	83.46	1.000	bicubic
519	convnext_small.fb_in1k	224	83.148	16.852	96.502	3.498	50.22	1.000	bicubic
520	mobilenetv4_conv_aa_large.e600_r384_in1k	384	83.134	16.866	96.378	3.622	32.59	1.000	bicubic
521	swinv2_cr_small_224.sw_in1k	224	83.126	16.874	96.110	3.890	49.70	0.900	bicubic
522	twins_svt_base.in1k	224	83.124	16.876	96.428	3.572	56.07	0.900	bicubic
523	nest_small_jx.goog_in1k	224	83.122	16.878	96.334	3.666	38.35	0.875	bicubic
524	pvt_v2_b3.in1k	224	83.118	16.882	96.562	3.438	45.24	0.900	bicubic
525	deit_base_patch16_384.fb_in1k	384	83.116	16.884	96.366	3.634	86.86	1.000	bicubic
526	hgnetv2_b3.ssld_stage1_in22k_in1k	288	83.114	16.886	96.712	3.288	16.29	1.000	bicubic
527	maxxvitv2_nano_rw_256.sw_in1k	256	83.104	16.896	96.334	3.666	23.70	0.950	bicubic
528	regnety_080.ra3_in1k	224	83.098	16.902	96.488	3.512	39.18	1.000	bicubic
529	tresnet_m.miil_in21k_ft_in1k	224	83.090	16.910	96.112	3.888	31.39	0.875	bilinear
530	efficientvit_b2.r288_in1k	288	83.086	16.914	96.304	3.696	24.33	1.000	bicubic
531	deit3_medium_patch16_224.fb_in1k	224	83.086	16.914	96.286	3.714	38.85	0.900	bicubic
532	deit3_small_patch16_224.fb_in22k_ft_in1k	224	83.082	16.918	96.780	3.220	22.06	1.000	bicubic
533	tresnet_xl.miil_in1k_448	448	83.062	16.938	96.170	3.830	78.44	0.875	bilinear
534	regnety_040.ra3_in1k	288	83.058	16.942	96.498	3.502	20.65	1.000	bicubic
535	resnet152d.ra2_in1k	256	83.040	16.960	96.370	3.630	60.21	1.000	bicubic
536	tf_efficientnet_b4.aa_in1k	380	83.036	16.964	96.292	3.708	19.34	0.922	bicubic
537	maxxvit_rmlp_nano_rw_256.sw_in1k	256	83.026	16.974	96.344	3.656	16.78	0.950	bicubic
538	resnet101d.ra2_in1k	320	83.018	16.982	96.458	3.542	44.57	1.000	bicubic
539	convnext_tiny.fb_in22k_ft_in1k	224	83.016	16.984	96.744	3.256	28.59	1.000	bicubic
540	resnetv2_101.a1h_in1k	288	83.002	16.998	96.444	3.556	44.54	1.000	bicubic
541	regnetv_064.ra3_in1k	224	83.000	17.000	96.412	3.588	30.58	1.000	bicubic
542	ecaresnet101d.miil_in1k	288	82.998	17.002	96.524	3.476	44.57	0.950	bicubic
543	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	320	82.990	17.010	96.670	3.330	11.07	1.000	bicubic
544	maxvit_rmlp_nano_rw_256.sw_in1k	256	82.980	17.020	96.272	3.728	15.50	0.950	bicubic
545	resnext101_64x4d.tv_in1k	224	82.978	17.022	96.252	3.748	83.46	0.875	bilinear
546	convformer_s18.sail_in1k	224	82.968	17.032	96.244	3.756	26.77	1.000	bicubic
547	regnety_160.deit_in1k	224	82.950	17.050	96.518	3.482	83.59	1.000	bicubic
548	maxvit_nano_rw_256.sw_in1k	256	82.944	17.056	96.224	3.776	15.45	0.950	bicubic
549	mobilevitv2_175.cvnets_in22k_ft_in1k_384	384	82.940	17.060	96.426	3.574	14.25	1.000	bicubic
550	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	224	82.916	17.084	96.576	3.424	236.34	0.875	bicubic
551	resnest101e.in1k	256	82.916	17.084	96.310	3.690	48.28	0.875	bilinear
552	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	384	82.900	17.100	96.560	3.440	11.07	1.000	bicubic
553	xcit_large_24_p16_224.fb_in1k	224	82.890	17.110	95.882	4.118	189.10	1.000	bicubic
554	efficientnetv2_rw_s.ra2_in1k	288	82.888	17.112	96.328	3.672	23.94	1.000	bicubic
555	resnetrs152.tf_in1k	256	82.884	17.116	96.276	3.724	86.62	1.000	bicubic
556	convnext_nano.in12k_ft_in1k	288	82.882	17.118	96.562	3.438	15.59	1.000	bicubic
557	mobilenetv4_conv_large.e600_r384_in1k	384	82.862	17.138	96.330	3.670	32.59	1.000	bicubic
558	resnext101_32x8d.tv2_in1k	224	82.832	17.168	96.232	3.768	88.79	0.965	bilinear
559	swinv2_tiny_window16_256.ms_in1k	256	82.828	17.172	96.222	3.778	28.35	0.900	bicubic
560	pnasnet5large.tf_in1k	331	82.828	17.172	96.038	3.962	86.06	0.911	bicubic
561	rdnet_tiny.nv_in1k	224	82.824	17.176	96.280	3.720	23.86	0.900	bicubic
562	regnetx_320.tv2_in1k	224	82.824	17.176	96.202	3.798	107.81	0.965	bicubic
563	hiera_tiny_224.mae_in1k_ft_in1k	224	82.824	17.176	96.192	3.808	27.91	0.900	bicubic
564	resnetv2_50x1_bit.goog_distilled_in1k	224	82.820	17.180	96.526	3.474	25.55	0.875	bicubic
565	regnety_064.ra3_in1k	224	82.814	17.186	96.276	3.724	30.58	1.000	bicubic
566	hgnetv2_b4.ssld_stage1_in22k_in1k	224	82.812	17.188	96.652	3.348	19.80	1.000	bicubic
567	sequencer2d_m.in1k	224	82.812	17.188	96.274	3.726	38.31	0.875	bicubic
568	hgnetv2_b3.ssld_stage2_ft_in1k	224	82.810	17.190	96.412	3.588	16.29	1.000	bicubic
569	resnet101.a1h_in1k	288	82.802	17.198	96.318	3.682	44.55	1.000	bicubic
570	convnextv2_tiny.fcmae_ft_in1k	224	82.786	17.214	96.336	3.664	28.64	1.000	bicubic
571	rexnet_300.nav_in1k	224	82.782	17.218	96.232	3.768	34.71	0.875	bicubic
572	cs3se_edgenet_x.c2ns_in1k	256	82.780	17.220	96.314	3.686	50.72	1.000	bicubic
573	vit_relpos_base_patch16_clsgap_224.sw_in1k	224	82.762	17.238	96.178	3.822	86.43	0.900	bicubic
574	nfnet_l0.ra2_in1k	288	82.756	17.244	96.494	3.506	35.07	1.000	bicubic
575	efficientnet_b4.ra2_in1k	320	82.752	17.248	96.322	3.678	19.34	1.000	bicubic
576	cs3edgenet_x.c2_in1k	288	82.746	17.254	96.390	3.610	47.82	1.000	bicubic
577	resnet152.a1_in1k	288	82.744	17.256	95.718	4.282	60.19	1.000	bicubic
578	twins_pcpvt_base.in1k	224	82.732	17.268	96.346	3.654	43.83	0.900	bicubic
579	regnety_032.ra_in1k	288	82.724	17.276	96.424	3.576	19.44	1.000	bicubic
580	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	224	82.720	17.280	96.624	3.376	88.79	0.875	bilinear
581	efficientvit_b2.r256_in1k	256	82.712	17.288	96.092	3.908	24.33	1.000	bicubic
582	fastvit_sa24.apple_in1k	256	82.706	17.294	96.278	3.722	21.55	0.900	bicubic
583	davit_tiny.msft_in1k	224	82.698	17.302	96.284	3.716	28.36	0.950	bicubic
584	convnext_tiny.fb_in1k	288	82.694	17.306	96.144	3.856	28.59	1.000	bicubic
585	mobilenetv4_conv_large.e500_r256_in1k	320	82.674	17.326	96.316	3.684	32.59	1.000	bicubic
586	resnet152.a1h_in1k	224	82.670	17.330	96.052	3.948	60.19	1.000	bicubic
587	tf_efficientnetv2_b3.in21k_ft_in1k	300	82.666	17.334	96.630	3.370	14.36	0.900	bicubic
588	convnextv2_nano.fcmae_ft_in22k_in1k	288	82.666	17.334	96.546	3.454	15.62	1.000	bicubic
589	regnetz_c16.ra3_in1k	320	82.660	17.340	96.332	3.668	13.46	1.000	bicubic
590	cs3sedarknet_x.c2ns_in1k	288	82.650	17.350	96.348	3.652	35.40	1.000	bicubic
591	regnety_160.tv2_in1k	224	82.646	17.354	96.230	3.770	83.59	0.965	bicubic
592	resnetaa50d.sw_in12k_ft_in1k	288	82.644	17.356	96.490	3.510	25.58	1.000	bicubic
593	regnetz_c16_evos.ch_in1k	320	82.642	17.358	96.480	3.520	13.49	0.950	bicubic
594	nasnetalarge.tf_in1k	331	82.636	17.364	96.060	3.940	88.75	0.911	bicubic
595	xcit_medium_24_p16_224.fb_in1k	224	82.632	17.368	95.980	4.020	84.40	1.000	bicubic
596	hgnetv2_b3.ssld_stage1_in22k_in1k	224	82.630	17.370	96.312	3.688	16.29	1.000	bicubic
597	vit_base_patch32_clip_224.laion2b_ft_in1k	224	82.630	17.370	96.204	3.796	88.22	0.900	bicubic
598	resnet152.a2_in1k	288	82.624	17.376	95.744	4.256	60.19	1.000	bicubic
599	nextvit_small.bd_in1k	224	82.620	17.380	96.222	3.778	31.76	0.950	bicubic
600	poolformerv2_m48.sail_in1k	224	82.612	17.388	96.068	3.932	73.35	1.000	bicubic
601	convnext_tiny_hnf.a2h_in1k	288	82.608	17.392	96.024	3.976	28.59	1.000	bicubic
602	mobilevitv2_150.cvnets_in22k_ft_in1k_384	384	82.606	17.394	96.310	3.690	10.59	1.000	bicubic
603	tf_efficientnet_b4.in1k	380	82.602	17.398	96.128	3.872	19.34	0.922	bicubic
604	levit_conv_384.fb_dist_in1k	224	82.600	17.400	96.020	3.980	39.13	0.900	bicubic
605	levit_384.fb_dist_in1k	224	82.598	17.402	96.016	3.984	39.13	0.900	bicubic
606	eca_nfnet_l0.ra2_in1k	288	82.596	17.404	96.492	3.508	24.14	1.000	bicubic
607	regnety_080_tv.tv2_in1k	224	82.592	17.408	96.244	3.756	39.38	0.965	bicubic
608	flexivit_small.1200ep_in1k	240	82.592	17.408	96.150	3.850	22.06	0.950	bicubic
609	xcit_tiny_24_p16_384.fb_dist_in1k	384	82.580	17.420	96.254	3.746	12.12	1.000	bicubic
610	xcit_tiny_24_p8_224.fb_dist_in1k	224	82.580	17.420	96.184	3.816	12.11	1.000	bicubic
611	xcit_small_24_p16_224.fb_in1k	224	82.580	17.420	96.000	4.000	47.67	1.000	bicubic
612	regnetx_160.tv2_in1k	224	82.576	17.424	96.056	3.944	54.28	0.965	bicubic
613	vit_relpos_medium_patch16_cls_224.sw_in1k	224	82.572	17.428	96.076	3.924	38.76	0.900	bicubic
614	efficientformer_l3.snap_dist_in1k	224	82.564	17.436	96.242	3.758	31.41	0.950	bicubic
615	rexnetr_200.sw_in12k_ft_in1k	224	82.538	17.462	96.402	3.598	16.52	1.000	bicubic
616	hgnet_tiny.ssld_in1k	288	82.524	17.476	96.514	3.486	14.74	1.000	bicubic
617	resnet61q.ra2_in1k	288	82.524	17.476	96.142	3.858	36.85	1.000	bicubic
618	crossvit_18_dagger_240.in1k	240	82.522	17.478	96.066	3.934	44.27	0.875	bicubic
619	repvit_m1_5.dist_450e_in1k	224	82.520	17.480	96.110	3.890	14.64	0.950	bicubic
620	wide_resnet101_2.tv2_in1k	224	82.516	17.484	96.012	3.988	126.89	0.965	bilinear
621	vit_little_patch16_reg4_gap_256.sbb_in1k	256	82.514	17.486	96.260	3.740	22.52	0.950	bicubic
622	inception_next_tiny.sail_in1k	224	82.508	17.492	96.000	4.000	28.06	0.875	bicubic
623	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	320	82.496	17.504	96.280	3.720	11.07	1.000	bicubic
624	convnextv2_nano.fcmae_ft_in1k	288	82.496	17.504	96.228	3.772	15.62	1.000	bicubic
625	gc_efficientnetv2_rw_t.agc_in1k	288	82.480	17.520	96.300	3.700	13.68	1.000	bicubic
626	vit_relpos_base_patch16_224.sw_in1k	224	82.476	17.524	96.144	3.856	86.43	0.900	bicubic
627	vit_relpos_medium_patch16_224.sw_in1k	224	82.466	17.534	96.084	3.916	38.75	0.900	bicubic
628	poolformer_m48.sail_in1k	224	82.462	17.538	95.968	4.032	73.47	0.950	bicubic
629	pit_b_224.in1k	224	82.460	17.540	95.708	4.292	73.76	0.900	bicubic
630	regnetv_040.ra3_in1k	224	82.438	17.562	96.192	3.808	20.64	1.000	bicubic
631	resnext101_64x4d.c1_in1k	224	82.432	17.568	95.932	4.068	83.46	1.000	bicubic
632	tf_efficientnet_b2.ns_jft_in1k	260	82.412	17.588	96.234	3.766	9.11	0.890	bicubic
633	mvitv2_tiny.fb_in1k	224	82.408	17.592	96.150	3.850	24.17	0.900	bicubic
634	coatnet_bn_0_rw_224.sw_in1k	224	82.394	17.606	96.194	3.806	27.44	0.950	bicubic
635	coatnet_0_rw_224.sw_in1k	224	82.394	17.606	95.844	4.156	27.44	0.950	bicubic
636	xcit_tiny_12_p8_384.fb_dist_in1k	384	82.392	17.608	96.214	3.786	6.71	1.000	bicubic
637	flexivit_small.600ep_in1k	240	82.392	17.608	96.040	3.960	22.06	0.950	bicubic
638	crossvit_18_240.in1k	240	82.386	17.614	96.066	3.934	43.27	0.875	bicubic
639	repvit_m1_5.dist_300e_in1k	224	82.382	17.618	96.026	3.974	14.64	0.950	bicubic
640	coat_small.in1k	224	82.376	17.624	96.214	3.786	21.69	0.900	bicubic
641	ecaresnet50t.ra2_in1k	320	82.370	17.630	96.120	3.880	25.57	0.950	bicubic
642	hgnetv2_b2.ssld_stage2_ft_in1k	288	82.360	17.640	96.404	3.596	11.22	1.000	bicubic
643	resnet51q.ra2_in1k	288	82.356	17.644	96.178	3.822	35.70	1.000	bilinear
644	efficientnetv2_rw_t.ra2_in1k	288	82.352	17.648	96.176	3.824	13.65	1.000	bicubic
645	sequencer2d_s.in1k	224	82.340	17.660	96.030	3.970	27.65	0.875	bicubic
646	resnetv2_101x1_bit.goog_in21k_ft_in1k	448	82.332	17.668	96.526	3.474	44.54	1.000	bilinear
647	crossvit_15_dagger_240.in1k	240	82.330	17.670	95.954	4.046	28.21	0.875	bicubic
648	mobilevitv2_200.cvnets_in22k_ft_in1k	256	82.322	17.678	95.940	4.060	18.45	0.888	bicubic
649	resnet101.a1_in1k	288	82.322	17.678	95.628	4.372	44.55	1.000	bicubic
650	resnet101d.ra2_in1k	256	82.320	17.680	96.068	3.932	44.57	1.000	bicubic
651	efficientnet_b3.ra2_in1k	320	82.310	17.690	96.138	3.862	12.23	1.000	bicubic
652	mixer_b16_224.miil_in21k_ft_in1k	224	82.310	17.690	95.714	4.286	59.88	0.875	bilinear
653	vit_relpos_medium_patch16_rpn_224.sw_in1k	224	82.308	17.692	95.982	4.018	38.73	0.900	bicubic
654	coat_lite_small.in1k	224	82.302	17.698	95.834	4.166	19.84	0.900	bicubic
655	resnetrs101.tf_in1k	288	82.294	17.706	96.000	4.000	63.62	0.940	bicubic
656	convit_base.fb_in1k	224	82.294	17.706	95.938	4.062	86.54	0.875	bicubic
657	resnet152.tv2_in1k	224	82.292	17.708	96.000	4.000	60.19	0.965	bilinear
658	tresnet_l.miil_in1k_448	448	82.278	17.722	95.988	4.012	55.99	0.875	bilinear
659	cs3edgenet_x.c2_in1k	256	82.266	17.734	96.110	3.890	47.82	1.000	bicubic
660	wide_resnet50_2.racm_in1k	288	82.266	17.734	96.062	3.938	68.88	0.950	bicubic
661	vit_srelpos_medium_patch16_224.sw_in1k	224	82.250	17.750	95.928	4.072	38.74	0.900	bicubic
662	cs3darknet_x.c2ns_in1k	288	82.236	17.764	96.232	3.768	35.05	1.000	bicubic
663	regnety_040.ra3_in1k	224	82.234	17.766	95.984	4.016	20.65	1.000	bicubic
664	crossvit_base_240.in1k	240	82.228	17.772	95.814	4.186	105.03	0.875	bicubic
665	resnet101.a2_in1k	288	82.224	17.776	95.738	4.262	44.55	1.000	bicubic
666	hgnet_small.paddle_in1k	288	82.222	17.778	96.220	3.780	24.36	1.000	bicubic
667	vit_base_patch16_rpn_224.sw_in1k	224	82.216	17.784	95.998	4.002	86.54	0.900	bicubic
668	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	256	82.214	17.786	96.270	3.730	11.07	1.000	bicubic
669	poolformerv2_m36.sail_in1k	224	82.214	17.786	95.896	4.104	56.08	1.000	bicubic
670	cait_xxs36_384.fb_dist_in1k	384	82.208	17.792	96.150	3.850	17.37	1.000	bicubic
671	pvt_v2_b2_li.in1k	224	82.202	17.798	96.110	3.890	22.55	0.900	bicubic
672	ecaresnet101d.miil_in1k	224	82.200	17.800	96.128	3.872	44.57	0.950	bicubic
673	seresnext50_32x4d.racm_in1k	288	82.192	17.808	96.148	3.852	27.56	0.950	bicubic
674	focalnet_tiny_lrf.ms_in1k	224	82.174	17.826	95.948	4.052	28.65	0.900	bicubic
675	flexivit_small.300ep_in1k	240	82.170	17.830	96.026	3.974	22.06	0.950	bicubic
676	efficientformerv2_s2.snap_dist_in1k	224	82.166	17.834	95.910	4.090	12.71	0.950	bicubic
677	efficientvit_b2.r224_in1k	224	82.166	17.834	95.706	4.294	24.33	0.950	bicubic
678	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	224	82.162	17.838	96.224	3.776	25.03	0.875	bilinear
679	focalnet_tiny_srf.ms_in1k	224	82.144	17.856	95.970	4.030	28.43	0.900	bicubic
680	swin_s3_tiny_224.ms_in1k	224	82.128	17.872	95.958	4.042	28.33	0.900	bicubic
681	ecaresnet50t.a1_in1k	288	82.114	17.886	95.654	4.346	25.57	1.000	bicubic
682	poolformer_m36.sail_in1k	224	82.104	17.896	95.698	4.302	56.17	0.950	bicubic
683	regnetz_c16.ra3_in1k	256	82.102	17.898	96.062	3.938	13.46	1.000	bicubic
684	visformer_small.in1k	224	82.096	17.904	95.876	4.124	40.22	0.900	bicubic
685	pvt_v2_b2.in1k	224	82.088	17.912	95.956	4.044	25.36	0.900	bicubic
686	halo2botnet50ts_256.a1h_in1k	256	82.084	17.916	95.658	4.342	22.64	0.950	bicubic
687	cs3sedarknet_x.c2ns_in1k	256	82.080	17.920	96.122	3.878	35.40	1.000	bicubic
688	tresnet_xl.miil_in1k	224	82.064	17.936	95.930	4.070	78.44	0.875	bilinear
689	coatnet_rmlp_nano_rw_224.sw_in1k	224	82.062	17.938	95.870	4.130	15.15	0.900	bicubic
690	resnetv2_101.a1h_in1k	224	82.052	17.948	95.856	4.144	44.54	1.000	bicubic
691	hrnet_w18_ssld.paddle_in1k	288	82.050	17.950	96.246	3.754	21.30	1.000	bilinear
692	fbnetv3_g.ra2_in1k	288	82.040	17.960	96.064	3.936	16.62	0.950	bilinear
693	convnext_tiny_hnf.a2h_in1k	224	82.032	17.968	95.772	4.228	28.59	1.000	bicubic
694	convnextv2_nano.fcmae_ft_in22k_in1k	224	82.018	17.982	96.166	3.834	15.62	1.000	bicubic
695	resnet51q.ra2_in1k	256	82.016	17.984	96.016	3.984	35.70	1.000	bilinear
696	convnext_tiny.fb_in1k	224	82.014	17.986	95.862	4.138	28.59	1.000	bicubic
697	resnext50_32x4d.a1h_in1k	288	82.012	17.988	95.932	4.068	25.03	1.000	bicubic
698	ecaresnet101d_pruned.miil_in1k	288	82.006	17.994	96.166	3.834	24.88	0.950	bicubic
699	coatnext_nano_rw_224.sw_in1k	224	81.998	18.002	95.888	4.112	14.70	0.900	bicubic
700	resnetv2_50d_evos.ah_in1k	288	81.992	18.008	95.896	4.104	25.59	1.000	bicubic
701	xcit_small_12_p16_224.fb_in1k	224	81.982	18.018	95.814	4.186	26.25	1.000	bicubic
702	xception41p.ra3_in1k	299	81.980	18.020	95.788	4.212	26.91	0.940	bicubic
703	deit_base_patch16_224.fb_in1k	224	81.980	18.020	95.742	4.258	86.57	0.900	bicubic
704	gcvit_xtiny.in1k	224	81.968	18.032	95.966	4.034	19.98	0.875	bicubic
705	resnetv2_50d_gn.ah_in1k	288	81.962	18.038	95.936	4.064	25.57	1.000	bicubic
706	convnext_nano.in12k_ft_in1k	224	81.960	18.040	96.260	3.740	15.59	1.000	bicubic
707	tf_efficientnetv2_b3.in1k	300	81.958	18.042	95.782	4.218	14.36	0.904	bicubic
708	vit_base_patch32_clip_224.openai_ft_in1k	224	81.946	18.054	95.974	4.026	88.22	0.900	bicubic
709	mobilevitv2_175.cvnets_in22k_ft_in1k	256	81.944	18.056	95.794	4.206	14.25	0.888	bicubic
710	regnetz_c16_evos.ch_in1k	256	81.942	18.058	96.150	3.850	13.49	0.950	bicubic
711	resnet101.a1h_in1k	224	81.934	18.066	95.702	4.298	44.55	1.000	bicubic
712	resnet61q.ra2_in1k	256	81.922	18.078	95.842	4.158	36.85	1.000	bicubic
713	resnext101_32x8d.tv2_in1k	176	81.912	18.088	95.792	4.208	88.79	0.965	bilinear
714	regnety_032.ra_in1k	224	81.908	18.092	95.964	4.036	19.44	1.000	bicubic
715	resnet101.tv2_in1k	224	81.906	18.094	95.768	4.232	44.55	0.965	bilinear
716	cs3darknet_x.c2ns_in1k	256	81.894	18.106	95.958	4.042	35.05	1.000	bicubic
717	resnet152.a1_in1k	224	81.892	18.108	95.236	4.764	60.19	1.000	bicubic
718	xcit_tiny_24_p8_224.fb_in1k	224	81.890	18.110	95.980	4.020	12.11	1.000	bicubic
719	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	224	81.880	18.120	96.100	3.900	194.03	0.875	bilinear
720	vit_small_r26_s32_224.augreg_in21k_ft_in1k	224	81.866	18.134	96.020	3.980	36.43	0.900	bicubic
721	tf_efficientnet_b3.ap_in1k	300	81.854	18.146	95.608	4.392	12.23	0.904	bicubic
722	nfnet_l0.ra2_in1k	224	81.848	18.152	96.032	3.968	35.07	1.000	bicubic
723	pit_s_distilled_224.in1k	224	81.842	18.158	95.724	4.276	24.04	0.900	bicubic
724	fastvit_sa12.apple_dist_in1k	256	81.842	18.158	95.700	4.300	11.58	0.900	bicubic
725	mobilenetv4_conv_large.e500_r256_in1k	256	81.826	18.174	95.648	4.352	32.59	1.000	bicubic
726	swinv2_tiny_window8_256.ms_in1k	256	81.824	18.176	95.988	4.012	28.35	0.900	bicubic
727	regnety_032.tv2_in1k	224	81.798	18.202	95.846	4.154	19.44	0.965	bicubic
728	swinv2_cr_tiny_ns_224.sw_in1k	224	81.796	18.204	95.824	4.176	28.33	0.900	bicubic
729	hgnet_tiny.ssld_in1k	224	81.794	18.206	96.002	3.998	14.74	1.000	bicubic
730	vit_base_patch16_224.orig_in21k_ft_in1k	224	81.786	18.214	96.124	3.876	86.57	0.900	bicubic
731	resnet152.a2_in1k	224	81.772	18.228	95.206	4.794	60.19	1.000	bicubic
732	cs3sedarknet_l.c2ns_in1k	288	81.770	18.230	95.960	4.040	21.91	0.950	bicubic
733	resnetaa50d.sw_in12k_ft_in1k	224	81.768	18.232	96.042	3.958	25.58	1.000	bicubic
734	convnextv2_nano.fcmae_ft_in1k	224	81.766	18.234	95.690	4.310	15.62	1.000	bicubic
735	tresnet_m.miil_in1k_448	448	81.710	18.290	95.568	4.432	31.39	0.875	bilinear
736	coatnet_nano_rw_224.sw_in1k	224	81.704	18.296	95.650	4.350	15.14	0.900	bicubic
737	twins_svt_small.in1k	224	81.692	18.308	95.668	4.332	24.06	0.900	bicubic
738	ecaresnet50t.a2_in1k	288	81.682	18.318	95.532	4.468	25.57	1.000	bicubic
739	tf_efficientnet_b3.aa_in1k	300	81.652	18.348	95.724	4.276	12.23	0.904	bicubic
740	halonet50ts.a1h_in1k	256	81.650	18.350	95.614	4.386	22.73	0.940	bicubic
741	ecaresnet50d.miil_in1k	288	81.642	18.358	95.886	4.114	25.58	0.950	bicubic
742	rexnet_200.nav_in1k	224	81.638	18.362	95.668	4.332	16.37	0.875	bicubic
743	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	224	81.620	18.380	96.036	3.964	88.79	0.875	bilinear
744	convnext_nano_ols.d1h_in1k	288	81.612	18.388	95.626	4.374	15.65	1.000	bicubic
745	resnetaa50.a1h_in1k	288	81.608	18.392	95.808	4.192	25.56	1.000	bicubic
746	eca_nfnet_l0.ra2_in1k	224	81.602	18.398	96.042	3.958	24.14	1.000	bicubic
747	wide_resnet50_2.tv2_in1k	224	81.598	18.402	95.764	4.236	68.88	0.965	bilinear
748	hgnetv2_b2.ssld_stage2_ft_in1k	224	81.576	18.424	95.874	4.126	11.22	1.000	bicubic
749	poolformerv2_s36.sail_in1k	224	81.576	18.424	95.680	4.320	30.79	1.000	bicubic
750	edgenext_small.usi_in1k	320	81.572	18.428	95.712	4.288	5.59	1.000	bicubic
751	resnet101.a1_in1k	224	81.564	18.436	95.094	4.906	44.55	1.000	bicubic
752	regnetx_080.tv2_in1k	224	81.560	18.440	95.542	4.458	39.57	0.965	bicubic
753	lamhalobotnet50ts_256.a1h_in1k	256	81.548	18.452	95.492	4.508	22.57	0.950	bicubic
754	tf_efficientnet_lite4.in1k	380	81.546	18.454	95.666	4.334	13.01	0.920	bilinear
755	wide_resnet50_2.racm_in1k	224	81.540	18.460	95.584	4.416	68.88	0.950	bicubic
756	tiny_vit_11m_224.in1k	224	81.538	18.462	95.870	4.130	11.00	0.950	bicubic
757	tnt_s_patch16_224	224	81.536	18.464	95.736	4.264	23.76	0.900	bicubic
758	crossvit_15_240.in1k	240	81.518	18.482	95.696	4.304	27.53	0.875	bicubic
759	levit_256.fb_dist_in1k	224	81.508	18.492	95.492	4.508	18.89	0.900	bicubic
760	vit_large_patch32_384.orig_in21k_ft_in1k	384	81.506	18.494	96.088	3.912	306.63	1.000	bicubic
761	levit_conv_256.fb_dist_in1k	224	81.506	18.494	95.488	4.512	18.89	0.900	bicubic
762	tresnet_l.miil_in1k	224	81.498	18.502	95.652	4.348	55.99	0.875	bilinear
763	repvit_m3.dist_in1k	224	81.488	18.512	95.562	4.438	10.68	0.950	bicubic
764	resnext50_32x4d.a1_in1k	288	81.484	18.516	95.162	4.838	25.03	1.000	bicubic
765	vit_relpos_small_patch16_224.sw_in1k	224	81.476	18.524	95.824	4.176	21.98	0.900	bicubic
766	convnext_nano.d1h_in1k	288	81.474	18.526	95.670	4.330	15.59	1.000	bicubic
767	mobilevitv2_150.cvnets_in22k_ft_in1k	256	81.470	18.530	95.672	4.328	10.59	0.888	bicubic
768	efficientnet_b3.ra2_in1k	288	81.466	18.534	95.748	4.252	12.23	1.000	bicubic
769	hgnetv2_b2.ssld_stage1_in22k_in1k	288	81.456	18.544	96.010	3.990	11.22	1.000	bicubic
770	gcresnet50t.ra2_in1k	288	81.452	18.548	95.704	4.296	25.90	1.000	bicubic
771	resnet50d.a1_in1k	288	81.444	18.556	95.224	4.776	25.58	1.000	bicubic
772	ecaresnet50t.ra2_in1k	256	81.440	18.560	95.704	4.296	25.57	0.950	bicubic
773	dm_nfnet_f0.dm_in1k	192	81.438	18.562	95.674	4.326	71.49	0.900	bicubic
774	poolformer_s36.sail_in1k	224	81.432	18.568	95.444	4.556	30.86	0.900	bicubic
775	nest_tiny_jx.goog_in1k	224	81.428	18.572	95.626	4.374	17.06	0.875	bicubic
776	ecaresnetlight.miil_in1k	288	81.416	18.584	95.794	4.206	30.16	0.950	bicubic
777	vit_small_patch16_224.augreg_in21k_ft_in1k	224	81.414	18.586	96.150	3.850	22.05	0.900	bicubic
778	convit_small.fb_in1k	224	81.414	18.586	95.736	4.264	27.78	0.875	bicubic
779	resnetv2_50.a1h_in1k	288	81.408	18.592	95.712	4.288	25.55	1.000	bicubic
780	tf_efficientnet_b1.ns_jft_in1k	240	81.388	18.612	95.758	4.242	7.79	0.882	bicubic
781	swin_tiny_patch4_window7_224.ms_in1k	224	81.388	18.612	95.540	4.460	28.29	0.900	bicubic
782	efficientnetv2_rw_t.ra2_in1k	224	81.374	18.626	95.550	4.450	13.65	1.000	bicubic
783	deit3_small_patch16_224.fb_in1k	224	81.374	18.626	95.454	4.546	22.06	0.900	bicubic
784	convmixer_1536_20.in1k	224	81.370	18.630	95.630	4.370	51.63	0.960	bicubic
785	gernet_l.idstcv_in1k	256	81.356	18.644	95.550	4.450	31.08	0.875	bilinear
786	resnet50d.ra2_in1k	288	81.350	18.650	95.742	4.258	25.58	0.950	bicubic
787	hgnet_small.paddle_in1k	224	81.340	18.660	95.842	4.158	24.36	1.000	bicubic
788	legacy_senet154.in1k	224	81.328	18.672	95.502	4.498	115.09	0.875	bilinear
789	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	256	81.308	18.692	95.692	4.308	11.07	1.000	bicubic
790	efficientnet_el.ra_in1k	300	81.306	18.694	95.540	4.460	10.59	0.904	bicubic
791	repvit_m1_1.dist_450e_in1k	224	81.304	18.696	95.572	4.428	8.80	0.950	bicubic
792	coat_mini.in1k	224	81.304	18.696	95.388	4.612	10.34	0.900	bicubic
793	resnet101.a2_in1k	224	81.304	18.696	95.126	4.874	44.55	1.000	bicubic
794	resnext50_32x4d.a2_in1k	288	81.298	18.702	95.110	4.890	25.03	1.000	bicubic
795	seresnext50_32x4d.racm_in1k	224	81.296	18.704	95.586	4.414	27.56	0.950	bicubic
796	mobilenetv4_hybrid_medium.e500_r224_in1k	256	81.284	18.716	95.740	4.260	11.07	1.000	bicubic
797	seresnet50.ra2_in1k	288	81.282	18.718	95.652	4.348	28.09	0.950	bicubic
798	gc_efficientnetv2_rw_t.agc_in1k	224	81.268	18.732	95.574	4.426	13.68	1.000	bicubic
799	senet154.gluon_in1k	224	81.258	18.742	95.358	4.642	115.09	0.875	bicubic
800	ecaresnet50t.a1_in1k	224	81.258	18.742	95.192	4.808	25.57	1.000	bicubic
801	res2net101d.in1k	224	81.254	18.746	95.348	4.652	45.23	0.875	bilinear
802	fbnetv3_g.ra2_in1k	240	81.250	18.750	95.682	4.318	16.62	0.950	bilinear
803	resnet50.a1_in1k	288	81.240	18.760	95.112	4.888	25.56	1.000	bicubic
804	gcresnext50ts.ch_in1k	288	81.236	18.764	95.536	4.464	15.67	1.000	bicubic
805	cs3sedarknet_l.c2ns_in1k	256	81.230	18.770	95.768	4.232	21.91	0.950	bicubic
806	deit_small_distilled_patch16_224.fb_in1k	224	81.216	18.784	95.380	4.620	22.44	0.900	bicubic
807	resnet50_gn.a1h_in1k	288	81.212	18.788	95.634	4.366	25.56	0.950	bicubic
808	xcit_tiny_12_p8_224.fb_dist_in1k	224	81.212	18.788	95.616	4.384	6.71	1.000	bicubic
809	lambda_resnet50ts.a1h_in1k	256	81.186	18.814	95.094	4.906	21.54	0.950	bicubic
810	resnet50.fb_swsl_ig1b_ft_in1k	224	81.182	18.818	95.990	4.010	25.56	0.875	bilinear
811	resnext50_32x4d.tv2_in1k	224	81.176	18.824	95.348	4.652	25.03	0.965	bilinear
812	resnet50d.a2_in1k	288	81.166	18.834	95.100	4.900	25.58	1.000	bicubic
813	sebotnet33ts_256.a1h_in1k	256	81.164	18.836	95.166	4.834	13.70	0.940	bicubic
814	resmlp_36_224.fb_distilled_in1k	224	81.150	18.850	95.508	4.492	44.69	0.875	bicubic
815	mobilevitv2_200.cvnets_in1k	256	81.148	18.852	95.382	4.618	18.45	0.888	bicubic
816	resnest50d_4s2x40d.in1k	224	81.146	18.854	95.566	4.434	30.42	0.875	bicubic
817	twins_pcpvt_small.in1k	224	81.144	18.856	95.624	4.376	24.11	0.900	bicubic
818	vit_small_patch16_384.augreg_in1k	384	81.134	18.866	95.576	4.424	22.20	1.000	bicubic
819	pit_s_224.in1k	224	81.126	18.874	95.328	4.672	23.46	0.900	bicubic
820	vit_srelpos_small_patch16_224.sw_in1k	224	81.108	18.892	95.580	4.420	21.97	0.900	bicubic
821	vit_base_patch16_384.augreg_in1k	384	81.096	18.904	95.328	4.672	86.86	1.000	bicubic
822	seresnet50.a1_in1k	288	81.096	18.904	95.118	4.882	28.09	1.000	bicubic
823	seresnet50.a2_in1k	288	81.092	18.908	95.236	4.764	28.09	1.000	bicubic
824	tf_efficientnetv2_b3.in21k_ft_in1k	240	81.076	18.924	95.920	4.080	14.36	0.900	bicubic
825	fastvit_s12.apple_dist_in1k	256	81.074	18.926	95.278	4.722	9.47	0.900	bicubic
826	convnextv2_pico.fcmae_ft_in1k	288	81.068	18.932	95.474	4.526	9.07	0.950	bicubic
827	haloregnetz_b.ra3_in1k	224	81.052	18.948	95.200	4.800	11.68	0.940	bicubic
828	resnet152s.gluon_in1k	224	81.048	18.952	95.442	4.558	60.32	0.875	bicubic
829	crossvit_small_240.in1k	240	81.040	18.960	95.468	4.532	26.86	0.875	bicubic
830	resmlp_big_24_224.fb_in1k	224	81.036	18.964	95.018	4.982	129.14	0.875	bicubic
831	resnest50d_1s4x24d.in1k	224	81.018	18.982	95.336	4.664	25.68	0.875	bicubic
832	resnet50.d_in1k	288	81.012	18.988	95.456	4.544	25.56	1.000	bicubic
833	resnext50_32x4d.a1h_in1k	224	81.004	18.996	95.282	4.718	25.03	1.000	bicubic
834	sehalonet33ts.ra2_in1k	256	80.976	19.024	95.274	4.726	13.69	0.940	bicubic
835	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	224	80.966	19.034	96.020	3.980	28.29	0.900	bicubic
836	cait_xxs24_384.fb_dist_in1k	384	80.962	19.038	95.642	4.358	12.03	1.000	bicubic
837	ecaresnet101d_pruned.miil_in1k	224	80.958	19.042	95.570	4.430	24.88	0.950	bicubic
838	resnest50d.in1k	224	80.958	19.042	95.372	4.628	27.48	0.875	bilinear
839	hrnet_w18_ssld.paddle_in1k	224	80.952	19.048	95.588	4.412	21.30	1.000	bilinear
840	xcit_tiny_12_p16_384.fb_dist_in1k	384	80.952	19.048	95.432	4.568	6.72	1.000	bicubic
841	gcresnet50t.ra2_in1k	256	80.940	19.060	95.436	4.564	25.90	1.000	bicubic
842	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	224	80.936	19.064	95.732	4.268	44.18	0.875	bilinear
843	resnet50.c1_in1k	288	80.928	19.072	95.554	4.446	25.56	1.000	bicubic
844	regnetx_032.tv2_in1k	224	80.926	19.074	95.268	4.732	15.30	0.965	bicubic
845	convnext_nano_ols.d1h_in1k	224	80.910	19.090	95.256	4.744	15.65	1.000	bicubic
846	cs3darknet_focus_l.c2ns_in1k	288	80.898	19.102	95.674	4.326	21.15	0.950	bicubic
847	seresnext101_32x4d.gluon_in1k	224	80.886	19.114	95.268	4.732	48.96	0.875	bicubic
848	cs3darknet_l.c2ns_in1k	288	80.884	19.116	95.668	4.332	21.16	0.950	bicubic
849	seresnext101_64x4d.gluon_in1k	224	80.882	19.118	95.306	4.694	88.23	0.875	bicubic
850	mobilenetv4_conv_medium.e500_r256_in1k	320	80.880	19.120	95.762	4.238	9.72	1.000	bicubic
851	tf_efficientnet_b3.in1k	300	80.878	19.122	95.326	4.674	12.23	0.904	bicubic
852	mobilevitv2_175.cvnets_in1k	256	80.874	19.126	95.260	4.740	14.25	0.888	bicubic
853	resnetv2_50d_evos.ah_in1k	224	80.874	19.126	95.116	4.884	25.59	1.000	bicubic
854	efficientnet_b3_pruned.in1k	300	80.872	19.128	95.272	4.728	9.86	0.904	bicubic
855	edgenext_small.usi_in1k	256	80.866	19.134	95.228	4.772	5.59	1.000	bicubic
856	tiny_vit_5m_224.dist_in22k_ft_in1k	224	80.862	19.138	95.672	4.328	5.39	0.950	bicubic
857	resnet50.c2_in1k	288	80.860	19.140	95.534	4.466	25.56	1.000	bicubic
858	resnet50.tv2_in1k	224	80.844	19.156	95.420	4.580	25.56	0.965	bilinear
859	fastvit_sa12.apple_in1k	256	80.840	19.160	95.344	4.656	11.58	0.900	bicubic
860	resnetv2_50d_gn.ah_in1k	224	80.832	19.168	95.274	4.726	25.57	1.000	bicubic
861	repvit_m1_1.dist_300e_in1k	224	80.826	19.174	95.174	4.826	8.80	0.950	bicubic
862	tresnet_m.miil_in1k	224	80.816	19.184	94.862	5.138	31.39	0.875	bilinear
863	seresnet33ts.ra2_in1k	288	80.814	19.186	95.346	4.654	19.78	1.000	bicubic
864	ecaresnet50d_pruned.miil_in1k	288	80.808	19.192	95.578	4.422	19.94	0.950	bicubic
865	regnety_320.pycls_in1k	224	80.808	19.192	95.244	4.756	145.05	0.875	bicubic
866	resnet50.a2_in1k	288	80.780	19.220	94.978	5.022	25.56	1.000	bicubic
867	ecaresnet50t.a2_in1k	224	80.768	19.232	94.968	5.032	25.57	1.000	bicubic
868	resmlp_24_224.fb_distilled_in1k	224	80.766	19.234	95.220	4.780	30.02	0.875	bicubic
869	poolformerv2_s24.sail_in1k	224	80.752	19.248	95.318	4.682	21.34	1.000	bicubic
870	regnetz_b16.ra3_in1k	288	80.740	19.260	95.530	4.470	9.72	1.000	bicubic
871	vit_base_patch32_224.augreg_in21k_ft_in1k	224	80.736	19.264	95.570	4.430	88.22	0.900	bicubic
872	gernet_m.idstcv_in1k	224	80.734	19.266	95.186	4.814	21.14	0.875	bilinear
873	eca_resnet33ts.ra2_in1k	288	80.716	19.284	95.382	4.618	19.68	1.000	bicubic
874	tf_efficientnetv2_b3.in1k	240	80.712	19.288	95.176	4.824	14.36	0.904	bicubic
875	resnext50_32x4d.ra_in1k	288	80.706	19.294	95.358	4.642	25.03	0.950	bicubic
876	resnet50.b1k_in1k	288	80.704	19.296	95.430	4.570	25.56	1.000	bicubic
877	resnetrs101.tf_in1k	192	80.702	19.298	95.244	4.756	63.62	0.940	bicubic
878	regnety_016.tv2_in1k	224	80.696	19.304	95.340	4.660	11.20	0.965	bicubic
879	gcresnext50ts.ch_in1k	256	80.688	19.312	95.264	4.736	15.67	1.000	bicubic
880	resnext50d_32x4d.bt_in1k	288	80.680	19.320	95.428	4.572	25.05	0.950	bicubic
881	resnet50.a1h_in1k	224	80.680	19.320	95.306	4.694	25.56	1.000	bicubic
882	eva02_tiny_patch14_336.mim_in22k_ft_in1k	336	80.672	19.328	95.526	4.474	5.76	1.000	bicubic
883	convnext_nano.d1h_in1k	224	80.668	19.332	95.236	4.764	15.59	1.000	bicubic
884	mobilenet_edgetpu_v2_m	256	80.664	19.336	95.444	4.556	8.46	0.950	bicubic
885	ecaresnet50d.miil_in1k	224	80.654	19.346	95.406	4.594	25.58	0.950	bicubic
886	nf_resnet50.ra2_in1k	288	80.652	19.348	95.344	4.656	25.56	0.940	bicubic
887	hgnet_tiny.paddle_in1k	288	80.648	19.352	95.542	4.458	14.74	1.000	bicubic
888	resnext101_64x4d.gluon_in1k	224	80.640	19.360	95.000	5.000	83.46	0.875	bicubic
889	resnetaa50.a1h_in1k	224	80.610	19.390	95.076	4.924	25.56	1.000	bicubic
890	efficientnet_b2.ra_in1k	288	80.608	19.392	95.318	4.682	9.11	1.000	bicubic
891	hgnetv2_b2.ssld_stage1_in22k_in1k	224	80.594	19.406	95.446	4.554	11.22	1.000	bicubic
892	gcresnet33ts.ra2_in1k	288	80.588	19.412	95.322	4.678	19.88	1.000	bicubic
893	cspresnext50.ra_in1k	256	80.552	19.448	95.330	4.670	20.57	0.887	bilinear
894	maxvit_rmlp_pico_rw_256.sw_in1k	256	80.550	19.450	95.186	4.814	7.52	0.950	bicubic
895	resnet152.a3_in1k	224	80.548	19.452	95.004	4.996	60.19	0.950	bicubic
896	darknet53.c2ns_in1k	288	80.542	19.458	95.426	4.574	41.61	1.000	bicubic
897	resnet50d.a1_in1k	224	80.540	19.460	94.634	5.366	25.58	1.000	bicubic
898	darknetaa53.c2ns_in1k	288	80.528	19.472	95.328	4.672	36.02	1.000	bilinear
899	repvgg_b3.rvgg_in1k	224	80.518	19.482	95.254	4.746	123.09	0.875	bilinear
900	efficientformer_l1.snap_dist_in1k	224	80.502	19.498	94.992	5.008	12.29	0.950	bicubic
901	mixnet_xl.ra_in1k	224	80.490	19.510	94.938	5.062	11.90	0.875	bicubic
902	vit_small_patch32_384.augreg_in21k_ft_in1k	384	80.482	19.518	95.606	4.394	22.92	1.000	bicubic
903	resnet50d.ra2_in1k	224	80.476	19.524	95.236	4.764	25.58	0.950	bicubic
904	resnet152d.gluon_in1k	224	80.476	19.524	95.194	4.806	60.21	0.875	bicubic
905	resnet50.b2k_in1k	288	80.470	19.530	95.308	4.692	25.56	1.000	bicubic
906	repvit_m2.dist_in1k	224	80.468	19.532	95.172	4.828	8.80	0.950	bicubic
907	xcit_tiny_24_p16_224.fb_dist_in1k	224	80.466	19.534	95.202	4.798	12.12	1.000	bicubic
908	resnet101d.gluon_in1k	224	80.466	19.534	95.034	4.966	44.57	0.875	bicubic
909	convnext_pico_ols.d1_in1k	288	80.462	19.538	95.246	4.754	9.06	1.000	bicubic
910	inception_resnet_v2.tf_in1k	299	80.460	19.540	95.308	4.692	55.84	0.897	bicubic
911	resnext50_32x4d.a1_in1k	224	80.458	19.542	94.304	5.696	25.03	1.000	bicubic
912	edgenext_small_rw.sw_in1k	320	80.452	19.548	95.206	4.794	7.83	1.000	bicubic
913	repvit_m1_0.dist_450e_in1k	224	80.446	19.554	94.920	5.080	7.30	0.950	bicubic
914	convnext_pico.d1_in1k	288	80.430	19.570	95.060	4.940	9.05	0.950	bicubic
915	mobilevitv2_150.cvnets_in1k	256	80.404	19.596	95.042	4.958	10.59	0.888	bicubic
916	wide_resnet50_2.tv2_in1k	176	80.396	19.604	95.134	4.866	68.88	0.965	bilinear
917	mobilenetv4_hybrid_medium.e500_r224_in1k	224	80.394	19.606	95.342	4.658	11.07	1.000	bicubic
918	resnetv2_50x1_bit.goog_in21k_ft_in1k	448	80.378	19.622	95.698	4.302	25.55	1.000	bilinear
919	ese_vovnet39b.ra_in1k	288	80.378	19.622	95.360	4.640	24.57	0.950	bicubic
920	regnety_120.pycls_in1k	224	80.378	19.622	95.096	4.904	51.82	0.875	bicubic
921	fastvit_t12.apple_dist_in1k	256	80.364	19.636	95.042	4.958	7.55	0.900	bicubic
922	cs3darknet_l.c2ns_in1k	256	80.354	19.646	95.372	4.628	21.16	0.950	bicubic
923	ecaresnetlight.miil_in1k	224	80.350	19.650	95.190	4.810	30.16	0.950	bicubic
924	resnetv2_50.a1h_in1k	224	80.338	19.662	95.032	4.968	25.55	1.000	bicubic
925	resnext101_32x4d.gluon_in1k	224	80.336	19.664	94.908	5.092	44.18	0.875	bicubic
926	seresnet33ts.ra2_in1k	256	80.330	19.670	95.102	4.898	19.78	1.000	bicubic
927	resnext50_32x4d.a2_in1k	224	80.324	19.676	94.534	5.466	25.03	1.000	bicubic
928	cs3darknet_focus_l.c2ns_in1k	256	80.320	19.680	95.308	4.692	21.15	0.950	bicubic
929	efficientvit_b1.r288_in1k	288	80.318	19.682	94.974	5.026	9.10	1.000	bicubic
930	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	224	80.316	19.684	95.386	4.614	25.03	0.875	bilinear
931	rexnet_150.nav_in1k	224	80.310	19.690	95.170	4.830	9.73	0.875	bicubic
932	resnet101s.gluon_in1k	224	80.304	19.696	95.150	4.850	44.67	0.875	bicubic
933	poolformer_s24.sail_in1k	224	80.300	19.700	95.060	4.940	21.39	0.900	bicubic
934	tf_efficientnet_b2.ap_in1k	260	80.296	19.704	95.032	4.968	9.11	0.890	bicubic
935	efficientnet_el_pruned.in1k	300	80.294	19.706	95.218	4.782	10.59	0.904	bicubic
936	seresnet50.ra2_in1k	224	80.286	19.714	95.126	4.874	28.09	0.950	bicubic
937	regnety_160.pycls_in1k	224	80.284	19.716	94.982	5.018	83.59	0.875	bicubic
938	legacy_seresnext101_32x4d.in1k	224	80.274	19.726	95.032	4.968	48.96	0.875	bilinear
939	res2net50d.in1k	224	80.270	19.730	95.020	4.980	25.72	0.875	bilinear
940	vit_wee_patch16_reg1_gap_256.sbb_in1k	256	80.268	19.732	95.360	4.640	13.42	0.950	bicubic
941	regnetx_320.pycls_in1k	224	80.262	19.738	95.012	4.988	107.81	0.875	bicubic
942	resnetblur50.bt_in1k	288	80.248	19.752	95.200	4.800	25.56	0.950	bicubic
943	tf_efficientnet_el.in1k	300	80.242	19.758	95.118	4.882	10.59	0.904	bicubic
944	vit_base_patch16_224.sam_in1k	224	80.242	19.758	94.768	5.232	86.57	0.900	bicubic
945	nf_resnet50.ra2_in1k	256	80.228	19.772	95.104	4.896	25.56	0.940	bicubic
946	wide_resnet101_2.tv2_in1k	176	80.228	19.772	94.854	5.146	126.89	0.965	bilinear
947	tf_efficientnetv2_b2.in1k	260	80.226	19.774	95.010	4.990	10.10	0.890	bicubic
948	repvgg_b3g4.rvgg_in1k	224	80.224	19.776	95.098	4.902	83.83	0.875	bilinear
949	convnextv2_pico.fcmae_ft_in1k	224	80.206	19.794	95.082	4.918	9.07	0.950	bicubic
950	eca_resnet33ts.ra2_in1k	256	80.178	19.822	95.068	4.932	19.68	1.000	bicubic
951	dpn107.mx_in1k	224	80.168	19.832	94.936	5.064	86.92	0.875	bicubic
952	skresnext50_32x4d.ra_in1k	224	80.166	19.834	94.644	5.356	27.48	0.875	bicubic
953	resnet50d.a2_in1k	224	80.164	19.836	94.648	5.352	25.58	1.000	bicubic
954	resnet50.a1_in1k	224	80.162	19.838	94.536	5.464	25.56	1.000	bicubic
955	convmixer_768_32.in1k	224	80.158	19.842	95.070	4.930	21.11	0.960	bicubic
956	mobilenetv4_conv_blur_medium.e500_r224_in1k	256	80.152	19.848	95.298	4.702	9.72	1.000	bicubic
957	repvit_m1_0.dist_300e_in1k	224	80.152	19.848	94.770	5.230	7.30	0.950	bicubic
958	inception_v4.tf_in1k	299	80.144	19.856	94.982	5.018	42.68	0.875	bicubic
959	tf_efficientnet_b2.aa_in1k	260	80.082	19.918	94.914	5.086	9.11	0.890	bicubic
960	vit_pwee_patch16_reg1_gap_256.sbb_in1k	256	80.078	19.922	95.130	4.870	15.25	0.950	bicubic
961	cspdarknet53.ra_in1k	256	80.076	19.924	95.070	4.930	27.64	0.887	bilinear
962	darknet53.c2ns_in1k	256	80.074	19.926	95.108	4.892	41.61	1.000	bicubic
963	seresnet50.a1_in1k	224	80.068	19.932	94.598	5.402	28.09	1.000	bicubic
964	mobilenet_edgetpu_v2_m	224	80.034	19.966	95.056	4.944	8.46	0.950	bicubic
965	dpn92.mx_in1k	224	80.028	19.972	94.878	5.122	37.67	0.875	bicubic
966	inception_resnet_v2.tf_ens_adv_in1k	299	79.992	20.008	94.956	5.044	55.84	0.897	bicubic
967	resnet50.ram_in1k	288	79.978	20.022	95.038	4.962	25.56	0.950	bicubic
968	fastvit_s12.apple_in1k	256	79.940	20.060	94.796	5.204	9.47	0.900	bicubic
969	resnet50_gn.a1h_in1k	224	79.930	20.070	94.986	5.014	25.56	0.950	bicubic
970	gcresnet33ts.ra2_in1k	256	79.922	20.078	95.008	4.992	19.88	1.000	bicubic
971	seresnet50.a2_in1k	224	79.920	20.080	94.664	5.336	28.09	1.000	bicubic
972	seresnext50_32x4d.gluon_in1k	224	79.918	20.082	94.816	5.184	27.56	0.875	bicubic
973	resnetrs50.tf_in1k	224	79.916	20.084	94.974	5.026	35.69	0.910	bicubic
974	resnet50.c2_in1k	224	79.916	20.084	94.868	5.132	25.56	1.000	bicubic
975	efficientnet_b2_pruned.in1k	260	79.912	20.088	94.842	5.158	8.31	0.890	bicubic
976	xception71.tf_in1k	299	79.908	20.092	94.910	5.090	42.34	0.903	bicubic
977	resnet152c.gluon_in1k	224	79.906	20.094	94.850	5.150	60.21	0.875	bicubic
978	hgnetv2_b1.ssld_stage2_ft_in1k	288	79.904	20.096	95.148	4.852	6.34	1.000	bicubic
979	resnet50.a2_in1k	224	79.904	20.096	94.502	5.498	25.56	1.000	bicubic
980	ecaresnet26t.ra2_in1k	320	79.900	20.100	95.070	4.930	16.01	0.950	bicubic
981	regnety_080.pycls_in1k	224	79.882	20.118	94.836	5.164	39.18	0.875	bicubic
982	regnetx_160.pycls_in1k	224	79.866	20.134	94.826	5.174	54.28	0.875	bicubic
983	deit_small_patch16_224.fb_in1k	224	79.862	20.138	95.056	4.944	22.05	0.900	bicubic
984	levit_conv_192.fb_dist_in1k	224	79.860	20.140	94.802	5.198	10.95	0.900	bicubic
985	resnet50.ra_in1k	288	79.858	20.142	94.970	5.030	25.56	0.950	bicubic
986	levit_192.fb_dist_in1k	224	79.850	20.150	94.804	5.196	10.95	0.900	bicubic
987	darknetaa53.c2ns_in1k	256	79.846	20.154	94.990	5.010	36.02	1.000	bilinear
988	mobilenetv4_conv_medium.e500_r224_in1k	256	79.838	20.162	95.194	4.806	9.72	1.000	bicubic
989	dpn131.mx_in1k	224	79.836	20.164	94.708	5.292	79.25	0.875	bicubic
990	resnet50.d_in1k	224	79.836	20.164	94.540	5.460	25.56	1.000	bicubic
991	tf_efficientnet_lite3.in1k	300	79.832	20.168	94.870	5.130	8.20	0.904	bilinear
992	resnet101.a3_in1k	224	79.822	20.178	94.616	5.384	44.55	0.950	bicubic
993	mobilenetv4_conv_medium.e500_r256_in1k	256	79.816	20.184	95.148	4.852	9.72	1.000	bicubic
994	regnetz_b16.ra3_in1k	224	79.774	20.226	95.072	4.928	9.72	1.000	bicubic
995	resmlp_36_224.fb_in1k	224	79.772	20.228	94.888	5.112	44.69	0.875	bicubic
996	resnet152.tv2_in1k	176	79.772	20.228	94.544	5.456	60.19	0.965	bilinear
997	efficientvit_b1.r256_in1k	256	79.754	20.246	94.786	5.214	9.10	1.000	bicubic
998	gcvit_xxtiny.in1k	224	79.752	20.248	95.060	4.940	12.00	0.875	bicubic
999	cait_xxs36_224.fb_dist_in1k	224	79.738	20.262	94.862	5.138	17.30	1.000	bicubic
1000	resnext50_32x4d.ra_in1k	224	79.736	20.264	94.740	5.260	25.03	0.950	bicubic
1001	hgnet_tiny.paddle_in1k	224	79.728	20.272	95.036	4.964	14.74	1.000	bicubic
1002	regnety_064.pycls_in1k	224	79.728	20.272	94.764	5.236	30.58	0.875	bicubic
1003	ecaresnet50d_pruned.miil_in1k	224	79.718	20.282	95.014	4.986	19.94	0.950	bicubic
1004	xcit_tiny_12_p8_224.fb_in1k	224	79.712	20.288	95.054	4.946	6.71	1.000	bicubic
1005	resnet152.gluon_in1k	224	79.712	20.288	94.720	5.280	60.19	0.875	bicubic
1006	resnet33ts.ra2_in1k	288	79.708	20.292	94.814	5.186	19.68	1.000	bicubic
1007	resnext50d_32x4d.bt_in1k	224	79.706	20.294	94.892	5.108	25.05	0.950	bicubic
1008	resnet50.c1_in1k	224	79.704	20.296	94.808	5.192	25.56	1.000	bicubic
1009	efficientformerv2_s1.snap_dist_in1k	224	79.684	20.316	94.690	5.310	6.19	0.950	bicubic
1010	mobilevitv2_125.cvnets_in1k	256	79.678	20.322	94.844	5.156	7.48	0.888	bicubic
1011	fbnetv3_d.ra2_in1k	256	79.668	20.332	94.956	5.044	10.31	0.950	bilinear
1012	resnet50.bt_in1k	288	79.658	20.342	94.906	5.094	25.56	0.950	bicubic
1013	dpn98.mx_in1k	224	79.656	20.344	94.642	5.358	61.57	0.875	bicubic
1014	gmlp_s16_224.ra3_in1k	224	79.644	20.356	94.628	5.372	19.42	0.875	bicubic
1015	tf_efficientnet_b2.in1k	260	79.614	20.386	94.724	5.276	9.11	0.890	bicubic
1016	regnetx_120.pycls_in1k	224	79.608	20.392	94.734	5.266	46.11	0.875	bicubic
1017	cspresnet50.ra_in1k	256	79.588	20.412	94.690	5.310	21.62	0.887	bilinear
1018	xception65.tf_in1k	299	79.554	20.446	94.660	5.340	39.92	0.903	bicubic
1019	efficientnet_b2.ra_in1k	256	79.552	20.448	94.816	5.184	9.11	1.000	bicubic
1020	ecaresnet50t.a3_in1k	224	79.548	20.452	94.710	5.290	25.57	0.950	bicubic
1021	resnet101c.gluon_in1k	224	79.542	20.458	94.588	5.412	44.57	0.875	bicubic
1022	tf_efficientnetv2_b1.in1k	240	79.518	20.482	94.710	5.290	8.14	0.882	bicubic
1023	eca_halonext26ts.c1_in1k	256	79.518	20.482	94.582	5.418	10.76	0.940	bicubic
1024	convnext_pico.d1_in1k	224	79.496	20.504	94.584	5.416	9.05	0.950	bicubic
1025	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	256	79.496	20.504	94.114	5.886	119.42	0.900	bicubic
1026	rexnet_130.nav_in1k	224	79.492	20.508	94.682	5.318	7.56	0.875	bicubic
1027	resnet101.tv2_in1k	176	79.492	20.508	94.466	5.534	44.55	0.965	bilinear
1028	hrnet_w64.ms_in1k	224	79.468	20.532	94.650	5.350	128.06	0.875	bilinear
1029	xcit_tiny_24_p16_224.fb_in1k	224	79.458	20.542	94.882	5.118	12.12	1.000	bicubic
1030	regnetx_016.tv2_in1k	224	79.452	20.548	94.772	5.228	9.19	0.965	bicubic
1031	dla102x2.in1k	224	79.448	20.552	94.654	5.346	41.28	0.875	bilinear
1032	mobileone_s4.apple_in1k	224	79.446	20.554	94.490	5.510	14.95	0.900	bilinear
1033	repvgg_b2g4.rvgg_in1k	224	79.396	20.604	94.680	5.320	61.76	0.875	bilinear
1034	resnet50.tv2_in1k	176	79.394	20.606	94.554	5.446	25.56	0.965	bilinear
1035	resnet32ts.ra2_in1k	288	79.388	20.612	94.676	5.324	17.96	1.000	bicubic
1036	resmlp_24_224.fb_in1k	224	79.380	20.620	94.550	5.450	30.02	0.875	bicubic
1037	efficientnet_b0.ra4_e3600_r224_in1k	256	79.372	20.628	94.750	5.250	5.29	1.000	bicubic
1038	nf_regnet_b1.ra2_in1k	288	79.368	20.632	94.726	5.274	10.22	0.900	bicubic
1039	ese_vovnet39b.ra_in1k	224	79.366	20.634	94.728	5.272	24.57	0.950	bicubic
1040	resnext50_32x4d.gluon_in1k	224	79.354	20.646	94.424	5.576	25.03	0.875	bicubic
1041	resnet50.b1k_in1k	224	79.352	20.648	94.602	5.398	25.56	1.000	bicubic
1042	dpn68b.ra_in1k	288	79.350	20.650	94.430	5.570	12.61	1.000	bicubic
1043	edgenext_small_rw.sw_in1k	256	79.338	20.662	94.504	5.496	7.83	1.000	bicubic
1044	convnextv2_femto.fcmae_ft_in1k	288	79.332	20.668	94.602	5.398	5.23	0.950	bicubic
1045	hrnet_w48.ms_in1k	224	79.324	20.676	94.534	5.466	77.47	0.875	bilinear
1046	convnext_pico_ols.d1_in1k	224	79.322	20.678	94.726	5.274	9.06	1.000	bicubic
1047	tf_efficientnet_cc_b1_8e.in1k	240	79.320	20.680	94.380	5.620	39.72	0.882	bicubic
1048	resnext101_32x8d.tv_in1k	224	79.314	20.686	94.524	5.476	88.79	0.875	bilinear
1049	resnet101.gluon_in1k	224	79.306	20.694	94.538	5.462	44.55	0.875	bicubic
1050	mobilenetv4_conv_blur_medium.e500_r224_in1k	224	79.294	20.706	94.868	5.132	9.72	1.000	bicubic
1051	tf_efficientnet_b1.ap_in1k	240	79.288	20.712	94.316	5.684	7.79	0.882	bicubic
1052	fastvit_t12.apple_in1k	256	79.276	20.724	94.570	5.430	7.55	0.900	bicubic
1053	eca_botnext26ts_256.c1_in1k	256	79.272	20.728	94.598	5.402	10.59	0.950	bicubic
1054	efficientnet_em.ra2_in1k	240	79.264	20.736	94.796	5.204	6.90	0.882	bicubic
1055	botnet26t_256.c1_in1k	256	79.254	20.746	94.530	5.470	12.49	0.950	bicubic
1056	resnet50.fb_ssl_yfcc100m_ft_in1k	224	79.252	20.748	94.826	5.174	25.56	0.875	bilinear
1057	resnext50_32x4d.a3_in1k	224	79.252	20.748	94.300	5.700	25.03	0.950	bicubic
1058	efficientvit_b1.r224_in1k	224	79.240	20.760	94.294	5.706	9.10	0.950	bicubic
1059	regnety_040.pycls_in1k	224	79.236	20.764	94.664	5.336	20.65	0.875	bicubic
1060	resnet50.b2k_in1k	224	79.222	20.778	94.558	5.442	25.56	1.000	bicubic
1061	regnetx_080.pycls_in1k	224	79.216	20.784	94.548	5.452	39.57	0.875	bicubic
1062	tf_efficientnetv2_b2.in1k	208	79.206	20.794	94.602	5.398	10.10	0.890	bicubic
1063	tiny_vit_5m_224.in1k	224	79.196	20.804	94.802	5.198	5.39	0.950	bicubic
1064	res2net101_26w_4s.in1k	224	79.186	20.814	94.464	5.536	45.21	0.875	bilinear
1065	resnetblur50.bt_in1k	224	79.176	20.824	94.650	5.350	25.56	0.950	bicubic
1066	pit_xs_distilled_224.in1k	224	79.168	20.832	94.368	5.632	11.00	0.900	bicubic
1067	fbnetv3_b.ra2_in1k	256	79.154	20.846	94.732	5.268	8.60	0.950	bilinear
1068	vit_base_patch16_224.augreg_in1k	224	79.142	20.858	94.090	5.910	86.57	0.900	bicubic
1069	resnet33ts.ra2_in1k	256	79.136	20.864	94.688	5.312	19.68	1.000	bicubic
1070	halonet26t.a1h_in1k	256	79.134	20.866	94.340	5.660	12.48	0.950	bicubic
1071	lambda_resnet26t.c1_in1k	256	79.126	20.874	94.554	5.446	10.96	0.940	bicubic
1072	resnet50.a1h_in1k	176	79.104	20.896	94.546	5.454	25.56	1.000	bicubic
1073	coat_lite_mini.in1k	224	79.098	20.902	94.602	5.398	11.01	0.900	bicubic
1074	legacy_seresnext50_32x4d.in1k	224	79.084	20.916	94.432	5.568	27.56	0.875	bilinear
1075	resnet50d.gluon_in1k	224	79.080	20.920	94.458	5.542	25.58	0.875	bicubic
1076	regnetx_064.pycls_in1k	224	79.060	20.940	94.472	5.528	26.21	0.875	bicubic
1077	repvit_m0_9.dist_450e_in1k	224	79.058	20.942	94.388	5.612	5.49	0.950	bicubic
1078	legacy_xception.tf_in1k	299	79.050	20.950	94.386	5.614	22.86	0.897	bicubic
1079	hgnetv2_b1.ssld_stage1_in22k_in1k	288	79.048	20.952	94.882	5.118	6.34	1.000	bicubic
1080	resnext50_32x4d.tv2_in1k	176	79.030	20.970	94.132	5.868	25.03	0.965	bilinear
1081	resnet50.am_in1k	224	79.004	20.996	94.392	5.608	25.56	0.875	bicubic
1082	mixnet_l.ft_in1k	224	78.972	21.028	94.182	5.818	7.33	0.875	bicubic
1083	resnet32ts.ra2_in1k	256	78.962	21.038	94.398	5.602	17.96	1.000	bicubic
1084	ecaresnet26t.ra2_in1k	256	78.954	21.046	94.602	5.398	16.01	0.950	bicubic
1085	lambda_resnet26rpt_256.c1_in1k	256	78.954	21.046	94.422	5.578	10.99	0.940	bicubic
1086	convnext_tiny.fb_in22k_ft_in1k	288	78.950	21.050	94.708	5.292	28.59	1.000	bicubic
1087	res2net50_26w_8s.in1k	224	78.946	21.054	94.296	5.704	48.40	0.875	bilinear
1088	resnet50.ra_in1k	224	78.936	21.064	94.358	5.642	25.56	0.950	bicubic
1089	hrnet_w40.ms_in1k	224	78.924	21.076	94.478	5.522	57.56	0.875	bilinear
1090	convnext_femto_ols.d1_in1k	288	78.914	21.086	94.546	5.454	5.23	0.950	bicubic
1091	regnety_032.pycls_in1k	224	78.904	21.096	94.438	5.562	19.44	0.875	bicubic
1092	resnet152.a3_in1k	160	78.896	21.104	94.124	5.876	60.19	0.950	bicubic
1093	mobilenetv4_conv_medium.e500_r224_in1k	224	78.886	21.114	94.668	5.332	9.72	1.000	bicubic
1094	hrnet_w44.ms_in1k	224	78.882	21.118	94.374	5.626	67.06	0.875	bilinear
1095	tf_efficientnet_b1.aa_in1k	240	78.852	21.148	94.198	5.802	7.79	0.882	bicubic
1096	wide_resnet101_2.tv_in1k	224	78.848	21.152	94.312	5.688	126.89	0.875	bilinear
1097	vit_small_patch16_224.augreg_in1k	224	78.842	21.158	94.278	5.722	22.05	0.900	bicubic
1098	seresnext26d_32x4d.bt_in1k	288	78.826	21.174	94.258	5.742	16.81	0.950	bicubic
1099	resnet50.ram_in1k	224	78.810	21.190	94.416	5.584	25.56	0.950	bicubic
1100	inception_v3.gluon_in1k	299	78.804	21.196	94.374	5.626	23.83	0.875	bicubic
1101	efficientnet_b1.ft_in1k	256	78.800	21.200	94.344	5.656	7.79	1.000	bicubic
1102	repvgg_b2.rvgg_in1k	224	78.794	21.206	94.414	5.586	89.02	0.875	bilinear
1103	repghostnet_200.in1k	224	78.790	21.210	94.336	5.664	9.80	0.875	bicubic
1104	tf_mixnet_l.in1k	224	78.786	21.214	93.996	6.004	7.33	0.875	bicubic
1105	hgnetv2_b1.ssld_stage2_ft_in1k	224	78.774	21.226	94.442	5.558	6.34	1.000	bicubic
1106	vit_base_patch32_384.augreg_in1k	384	78.754	21.246	94.236	5.764	88.30	1.000	bicubic
1107	resnet50d.a3_in1k	224	78.742	21.258	94.236	5.764	25.58	0.950	bicubic
1108	seresnext26t_32x4d.bt_in1k	288	78.736	21.264	94.318	5.682	16.81	0.950	bicubic
1109	nf_regnet_b1.ra2_in1k	256	78.724	21.276	94.386	5.614	10.22	0.900	bicubic
1110	convnext_femto.d1_in1k	288	78.710	21.290	94.442	5.558	5.22	0.950	bicubic
1111	resnet50s.gluon_in1k	224	78.710	21.290	94.248	5.752	25.68	0.875	bicubic
1112	pvt_v2_b1.in1k	224	78.702	21.298	94.492	5.508	14.01	0.900	bicubic
1113	dla169.in1k	224	78.696	21.304	94.336	5.664	53.39	0.875	bilinear
1114	tf_efficientnet_b0.ns_jft_in1k	224	78.688	21.312	94.368	5.632	5.29	0.875	bicubic
1115	regnety_008_tv.tv2_in1k	224	78.658	21.342	94.382	5.618	6.43	0.965	bicubic
1116	legacy_seresnet152.in1k	224	78.658	21.342	94.372	5.628	66.82	0.875	bilinear
1117	fbnetv3_d.ra2_in1k	224	78.656	21.344	94.454	5.546	10.31	0.950	bilinear
1118	repvit_m0_9.dist_300e_in1k	224	78.654	21.346	94.114	5.886	5.49	0.950	bicubic
1119	hgnetv2_b0.ssld_stage2_ft_in1k	288	78.598	21.402	94.380	5.620	6.00	1.000	bicubic
1120	res2net50_26w_6s.in1k	224	78.584	21.416	94.106	5.894	37.05	0.875	bilinear
1121	xcit_tiny_12_p16_224.fb_dist_in1k	224	78.578	21.422	94.210	5.790	6.72	1.000	bicubic
1122	tf_efficientnet_b1.in1k	240	78.550	21.450	94.096	5.904	7.79	0.882	bicubic
1123	repvit_m1.dist_in1k	224	78.542	21.458	94.082	5.918	5.49	0.950	bicubic
1124	xception41.tf_in1k	299	78.524	21.476	94.290	5.710	26.97	0.903	bicubic
1125	dla102x.in1k	224	78.504	21.496	94.226	5.774	26.31	0.875	bilinear
1126	regnetx_040.pycls_in1k	224	78.494	21.506	94.242	5.758	22.12	0.875	bicubic
1127	dla60_res2next.in1k	224	78.488	21.512	94.144	5.856	17.03	0.875	bilinear
1128	levit_conv_128.fb_dist_in1k	224	78.488	21.512	94.000	6.000	9.21	0.900	bicubic
1129	levit_128.fb_dist_in1k	224	78.486	21.514	93.998	6.002	9.21	0.900	bicubic
1130	dla60_res2net.in1k	224	78.480	21.520	94.202	5.798	20.85	0.875	bilinear
1131	wide_resnet50_2.tv_in1k	224	78.480	21.520	94.086	5.914	68.88	0.875	bilinear
1132	resnest26d.gluon_in1k	224	78.476	21.524	94.300	5.700	17.07	0.875	bilinear
1133	hrnet_w32.ms_in1k	224	78.458	21.542	94.184	5.816	41.23	0.875	bilinear
1134	vit_tiny_patch16_384.augreg_in21k_ft_in1k	384	78.446	21.554	94.552	5.448	5.79	1.000	bicubic
1135	coat_tiny.in1k	224	78.442	21.558	94.036	5.964	5.50	0.900	bicubic
1136	resnet34d.ra2_in1k	288	78.440	21.560	94.348	5.652	21.82	0.950	bicubic
1137	gcresnext26ts.ch_in1k	288	78.438	21.562	94.034	5.966	10.48	1.000	bicubic
1138	selecsls60b.in1k	224	78.410	21.590	94.166	5.834	32.77	0.875	bicubic
1139	legacy_seresnet101.in1k	224	78.396	21.604	94.258	5.742	49.33	0.875	bilinear
1140	cait_xxs24_224.fb_dist_in1k	224	78.392	21.608	94.334	5.666	11.96	1.000	bicubic
1141	resnet50.bt_in1k	224	78.388	21.612	94.302	5.698	25.56	0.950	bicubic
1142	tf_efficientnetv2_b0.in1k	224	78.380	21.620	94.026	5.974	7.14	0.875	bicubic
1143	repvgg_b1.rvgg_in1k	224	78.372	21.628	94.108	5.892	57.42	0.875	bilinear
1144	resnet26t.ra2_in1k	320	78.330	21.670	94.136	5.864	16.01	1.000	bicubic
1145	resnet152.tv_in1k	224	78.330	21.670	94.046	5.954	60.19	0.875	bilinear
1146	efficientnet_b0.ra4_e3600_r224_in1k	224	78.318	21.682	94.116	5.884	5.29	1.000	bicubic
1147	mobilevit_s.cvnets_in1k	256	78.302	21.698	94.166	5.834	5.58	0.900	bicubic
1148	seresnext26ts.ch_in1k	288	78.292	21.708	94.076	5.924	10.39	1.000	bicubic
1149	bat_resnext26ts.ch_in1k	256	78.280	21.720	94.114	5.886	10.73	0.900	bicubic
1150	dpn68b.ra_in1k	224	78.280	21.720	93.864	6.136	12.61	1.000	bicubic
1151	convnextv2_femto.fcmae_ft_in1k	224	78.270	21.730	93.970	6.030	5.23	0.950	bicubic
1152	efficientnet_b1_pruned.in1k	240	78.252	21.748	93.820	6.180	6.33	0.882	bicubic
1153	res2next50.in1k	224	78.236	21.764	93.904	6.096	24.67	0.875	bilinear
1154	dla60x.in1k	224	78.232	21.768	94.020	5.980	17.35	0.875	bilinear
1155	hrnet_w30.ms_in1k	224	78.214	21.786	94.214	5.786	37.71	0.875	bilinear
1156	pit_xs_224.in1k	224	78.212	21.788	94.150	5.850	10.62	0.900	bicubic
1157	hrnet_w18_small_v2.gluon_in1k	224	78.184	21.816	93.910	6.090	15.60	0.875	bicubic
1158	regnetx_032.pycls_in1k	224	78.166	21.834	94.090	5.910	15.30	0.875	bicubic
1159	fbnetv3_b.ra2_in1k	224	78.162	21.838	94.242	5.758	8.60	0.950	bilinear
1160	visformer_tiny.in1k	224	78.160	21.840	94.164	5.836	10.32	0.900	bicubic
1161	res2net50_14w_8s.in1k	224	78.146	21.854	93.850	6.150	25.06	0.875	bilinear
1162	tf_efficientnet_em.in1k	240	78.128	21.872	94.054	5.946	6.90	0.882	bicubic
1163	hrnet_w18.ms_aug_in1k	224	78.110	21.890	94.068	5.932	21.30	0.950	bilinear
1164	hardcorenas_f.miil_green_in1k	224	78.106	21.894	93.800	6.200	8.20	0.875	bilinear
1165	mobilevitv2_100.cvnets_in1k	256	78.092	21.908	94.168	5.832	4.90	0.888	bicubic
1166	efficientnet_es.ra_in1k	224	78.092	21.908	93.932	6.068	5.44	0.875	bicubic
1167	resnet50.a3_in1k	224	78.052	21.948	93.780	6.220	25.56	0.950	bicubic
1168	gmixer_24_224.ra3_in1k	224	78.048	21.952	93.654	6.346	24.72	0.875	bicubic
1169	hgnetv2_b0.ssld_stage1_in22k_in1k	288	78.040	21.960	94.244	5.756	6.00	1.000	bicubic
1170	dla102.in1k	224	78.024	21.976	93.946	6.054	33.27	0.875	bilinear
1171	resnet50c.gluon_in1k	224	78.016	21.984	93.994	6.006	25.58	0.875	bicubic
1172	eca_resnext26ts.ch_in1k	288	78.016	21.984	93.932	6.068	10.30	1.000	bicubic
1173	poolformerv2_s12.sail_in1k	224	78.008	21.992	93.864	6.136	11.89	1.000	bicubic
1174	mobileone_s3.apple_in1k	224	78.002	21.998	93.864	6.136	10.17	0.900	bilinear
1175	res2net50_26w_4s.in1k	224	77.986	22.014	93.862	6.138	25.70	0.875	bilinear
1176	selecsls60.in1k	224	77.986	22.014	93.826	6.174	30.67	0.875	bicubic
1177	resmlp_12_224.fb_distilled_in1k	224	77.948	22.052	93.570	6.430	15.35	0.875	bicubic
1178	resnet34.a1_in1k	288	77.938	22.062	93.748	6.252	21.80	1.000	bicubic
1179	tf_efficientnetv2_b1.in1k	192	77.930	22.070	93.822	6.178	8.14	0.882	bicubic
1180	hgnetv2_b1.ssld_stage1_in22k_in1k	224	77.928	22.072	94.244	5.756	6.34	1.000	bicubic
1181	resnet101.a3_in1k	160	77.928	22.072	93.686	6.314	44.55	0.950	bicubic
1182	tf_efficientnet_cc_b0_8e.in1k	224	77.924	22.076	93.650	6.350	24.01	0.875	bicubic
1183	mobilenetv3_large_100.miil_in21k_ft_in1k	224	77.910	22.090	92.886	7.114	5.48	0.875	bilinear
1184	regnety_016.pycls_in1k	224	77.904	22.096	93.722	6.278	11.20	0.875	bicubic
1185	seresnext26t_32x4d.bt_in1k	224	77.870	22.130	93.812	6.188	16.81	0.950	bicubic
1186	inception_v3.tf_in1k	299	77.866	22.134	93.640	6.360	23.83	0.875	bicubic
1187	resnetrs50.tf_in1k	160	77.850	22.150	93.814	6.186	35.69	0.910	bicubic
1188	rexnet_100.nav_in1k	224	77.848	22.152	93.878	6.122	4.80	0.875	bicubic
1189	ghostnetv2_160.in1k	224	77.836	22.164	93.942	6.058	12.39	0.875	bicubic
1190	xcit_nano_12_p8_384.fb_dist_in1k	384	77.812	22.188	94.024	5.976	3.05	1.000	bicubic
1191	ese_vovnet19b_dw.ra_in1k	288	77.806	22.194	93.776	6.224	6.54	0.950	bicubic
1192	convnextv2_atto.fcmae_ft_in1k	288	77.794	22.206	93.732	6.268	3.71	0.950	bicubic
1193	resnet26t.ra2_in1k	256	77.790	22.210	93.808	6.192	16.01	1.000	bicubic
1194	hardcorenas_e.miil_green_in1k	224	77.790	22.210	93.690	6.310	8.07	0.875	bilinear
1195	ecaresnet50t.a3_in1k	160	77.782	22.218	93.618	6.382	25.57	0.950	bicubic
1196	seresnext26ts.ch_in1k	256	77.766	22.234	93.710	6.290	10.39	1.000	bicubic
1197	seresnext26d_32x4d.bt_in1k	224	77.734	22.266	93.720	6.280	16.81	0.950	bicubic
1198	resnext50_32x4d.a3_in1k	160	77.734	22.266	93.314	6.686	25.03	0.950	bicubic
1199	efficientnet_b0.ra_in1k	224	77.700	22.300	93.534	6.466	5.29	0.875	bicubic
1200	convnext_femto_ols.d1_in1k	224	77.678	22.322	93.990	6.010	5.23	0.950	bicubic
1201	tinynet_a.in1k	192	77.664	22.336	93.530	6.470	6.19	0.875	bicubic
1202	legacy_seresnet50.in1k	224	77.644	22.356	93.720	6.280	28.09	0.875	bilinear
1203	resnext50_32x4d.tv_in1k	224	77.632	22.368	93.674	6.326	25.03	0.875	bilinear
1204	cs3darknet_m.c2ns_in1k	288	77.628	22.372	94.018	5.982	9.31	0.950	bicubic
1205	repvgg_b1g4.rvgg_in1k	224	77.602	22.398	93.844	6.156	39.97	0.875	bilinear
1206	convnext_femto.d1_in1k	224	77.598	22.402	93.796	6.204	5.22	0.950	bicubic
1207	inception_v3.tf_adv_in1k	299	77.596	22.404	93.726	6.274	23.83	0.875	bicubic
1208	resnet50.gluon_in1k	224	77.580	22.420	93.704	6.296	25.56	0.875	bicubic
1209	gcresnext26ts.ch_in1k	256	77.578	22.422	93.736	6.264	10.48	1.000	bicubic
1210	coat_lite_tiny.in1k	224	77.548	22.452	93.924	6.076	5.72	0.900	bicubic
1211	res2net50_48w_2s.in1k	224	77.536	22.464	93.564	6.436	25.29	0.875	bilinear
1212	dpn68b.mx_in1k	224	77.514	22.486	93.856	6.144	12.61	0.875	bicubic
1213	mobileone_s2.apple_in1k	224	77.504	22.496	93.664	6.336	7.88	0.900	bilinear
1214	inception_v3.tv_in1k	299	77.474	22.526	93.474	6.526	23.83	0.875	bicubic
1215	tf_efficientnet_lite2.in1k	260	77.472	22.528	93.744	6.256	6.09	0.890	bicubic
1216	repghostnet_150.in1k	224	77.472	22.528	93.492	6.508	6.58	0.875	bicubic
1217	hardcorenas_d.miil_green_in1k	224	77.450	22.550	93.480	6.520	7.50	0.875	bilinear
1218	resnet26d.bt_in1k	288	77.424	22.576	93.630	6.370	16.01	0.950	bicubic
1219	eca_resnext26ts.ch_in1k	256	77.422	22.578	93.640	6.360	10.30	1.000	bicubic
1220	efficientnet_b1.ft_in1k	224	77.408	22.592	93.526	6.474	7.79	1.000	bicubic
1221	resnet101.tv_in1k	224	77.404	22.596	93.552	6.448	44.55	0.875	bilinear
1222	densenet161.tv_in1k	224	77.350	22.650	93.654	6.346	28.68	0.875	bicubic
1223	tf_efficientnet_cc_b0_4e.in1k	224	77.324	22.676	93.334	6.666	13.31	0.875	bicubic
1224	densenetblur121d.ra_in1k	288	77.310	22.690	93.800	6.200	8.00	0.950	bicubic
1225	mobilenetv2_120d.ra_in1k	224	77.298	22.702	93.516	6.484	5.83	0.875	bicubic
1226	cs3darknet_focus_m.c2ns_in1k	288	77.292	22.708	93.970	6.030	9.30	0.950	bicubic
1227	hgnetv2_b0.ssld_stage2_ft_in1k	224	77.290	22.710	93.664	6.336	6.00	1.000	bicubic
1228	regnetx_008.tv2_in1k	224	77.288	22.712	93.662	6.338	7.26	0.965	bicubic
1229	densenet201.tv_in1k	224	77.284	22.716	93.480	6.520	20.01	0.875	bicubic
1230	mixnet_m.ft_in1k	224	77.270	22.730	93.416	6.584	5.01	0.875	bicubic
1231	poolformer_s12.sail_in1k	224	77.244	22.756	93.538	6.462	11.92	0.900	bicubic
1232	resnet50d.a3_in1k	160	77.222	22.778	93.256	6.744	25.58	0.950	bicubic
1233	convnext_atto_ols.a2_in1k	288	77.220	22.780	93.700	6.300	3.70	0.950	bicubic
1234	resnext26ts.ra2_in1k	288	77.182	22.818	93.474	6.526	10.30	1.000	bicubic
1235	selecsls42b.in1k	224	77.180	22.820	93.390	6.610	32.46	0.875	bicubic
1236	fastvit_t8.apple_dist_in1k	256	77.170	22.830	93.274	6.726	4.03	0.900	bicubic
1237	resnet34.a2_in1k	288	77.160	22.840	93.276	6.724	21.80	1.000	bicubic
1238	xcit_tiny_12_p16_224.fb_in1k	224	77.142	22.858	93.730	6.270	6.72	1.000	bicubic
1239	tf_efficientnet_b0.ap_in1k	224	77.106	22.894	93.262	6.738	5.29	0.875	bicubic
1240	legacy_seresnext26_32x4d.in1k	224	77.100	22.900	93.332	6.668	16.79	0.875	bicubic
1241	hardcorenas_c.miil_green_in1k	224	77.094	22.906	93.192	6.808	5.52	0.875	bilinear
1242	efficientvit_m5.r224_in1k	224	77.082	22.918	93.166	6.834	12.47	0.875	bicubic
1243	dla60.in1k	224	77.048	22.952	93.318	6.682	22.04	0.875	bilinear
1244	seresnet50.a3_in1k	224	77.036	22.964	93.072	6.928	28.09	0.950	bicubic
1245	cs3darknet_m.c2ns_in1k	256	77.024	22.976	93.710	6.290	9.31	0.950	bicubic
1246	convnext_atto.d2_in1k	288	77.016	22.984	93.704	6.296	3.70	0.950	bicubic
1247	crossvit_9_dagger_240.in1k	240	76.986	23.014	93.602	6.398	8.78	0.875	bicubic
1248	resnet34d.ra2_in1k	224	76.970	23.030	93.466	6.534	21.82	0.950	bicubic
1249	tf_mixnet_m.in1k	224	76.962	23.038	93.170	6.830	5.01	0.875	bicubic
1250	skresnet34.ra_in1k	224	76.956	23.044	93.318	6.682	22.28	0.875	bicubic
1251	convmixer_1024_20_ks9_p14.in1k	224	76.944	23.056	93.364	6.636	24.38	0.960	bicubic
1252	regnetx_016.pycls_in1k	224	76.924	23.076	93.430	6.570	9.19	0.875	bicubic
1253	tf_efficientnetv2_b0.in1k	192	76.904	23.096	93.168	6.832	7.14	0.875	bicubic
1254	gernet_s.idstcv_in1k	224	76.904	23.096	93.146	6.854	8.17	0.875	bilinear
1255	tf_efficientnet_b0.aa_in1k	224	76.882	23.118	93.270	6.730	5.29	0.875	bicubic
1256	hgnetv2_b0.ssld_stage1_in22k_in1k	224	76.814	23.186	93.470	6.530	6.00	1.000	bicubic
1257	ese_vovnet19b_dw.ra_in1k	224	76.800	23.200	93.372	6.628	6.54	0.950	bicubic
1258	ghostnetv2_130.in1k	224	76.762	23.238	93.360	6.640	8.96	0.875	bicubic
1259	hrnet_w18.ms_in1k	224	76.760	23.240	93.446	6.554	21.30	0.875	bilinear
1260	cs3darknet_focus_m.c2ns_in1k	256	76.728	23.272	93.650	6.350	9.30	0.950	bicubic
1261	resnet26d.bt_in1k	224	76.706	23.294	93.212	6.788	16.01	0.950	bicubic
1262	tf_efficientnet_lite1.in1k	240	76.672	23.328	93.232	6.768	5.42	0.882	bicubic
1263	resmlp_12_224.fb_in1k	224	76.660	23.340	93.170	6.830	15.35	0.875	bicubic
1264	mixer_b16_224.goog_in21k_ft_in1k	224	76.640	23.360	92.228	7.772	59.88	0.875	bicubic
1265	tf_efficientnet_es.in1k	224	76.608	23.392	93.176	6.824	5.44	0.875	bicubic
1266	mobilenetv1_100h.ra4_e3600_r224_in1k	256	76.594	23.406	93.266	6.734	5.28	0.950	bicubic
1267	resnext26ts.ra2_in1k	256	76.584	23.416	93.134	6.866	10.30	1.000	bicubic
1268	hardcorenas_b.miil_green_in1k	224	76.552	23.448	92.766	7.234	5.18	0.875	bilinear
1269	tf_efficientnet_b0.in1k	224	76.536	23.464	93.010	6.990	5.29	0.875	bicubic
1270	levit_conv_128s.fb_dist_in1k	224	76.534	23.466	92.882	7.118	7.78	0.900	bicubic
1271	mobilenetv2_140.ra_in1k	224	76.528	23.472	93.008	6.992	6.11	0.875	bicubic
1272	convnextv2_atto.fcmae_ft_in1k	224	76.526	23.474	93.106	6.894	3.71	0.950	bicubic
1273	levit_128s.fb_dist_in1k	224	76.522	23.478	92.874	7.126	7.78	0.900	bicubic
1274	densenetblur121d.ra_in1k	224	76.512	23.488	93.198	6.802	8.00	0.950	bicubic
1275	resnet34.bt_in1k	288	76.508	23.492	93.344	6.656	21.80	0.950	bicubic
1276	repvgg_a2.rvgg_in1k	224	76.492	23.508	93.016	6.984	28.21	0.875	bilinear
1277	densenet121.ra_in1k	288	76.480	23.520	93.374	6.626	7.98	0.950	bicubic
1278	repghostnet_130.in1k	224	76.378	23.622	92.896	7.104	5.48	0.875	bicubic
1279	resnet26.bt_in1k	288	76.372	23.628	93.176	6.824	16.00	0.950	bicubic
1280	dpn68.mx_in1k	224	76.338	23.662	93.010	6.990	12.61	0.875	bicubic
1281	regnety_008.pycls_in1k	224	76.334	23.666	93.060	6.940	6.26	0.875	bicubic
1282	xcit_nano_12_p8_224.fb_dist_in1k	224	76.330	23.670	93.072	6.928	3.05	1.000	bicubic
1283	resnet34.a1_in1k	224	76.198	23.802	92.756	7.244	21.80	1.000	bicubic
1284	fastvit_t8.apple_in1k	256	76.184	23.816	93.042	6.958	4.03	0.900	bicubic
1285	resnet50.tv_in1k	224	76.156	23.844	92.866	7.134	25.56	0.875	bilinear
1286	efficientformerv2_s0.snap_dist_in1k	224	76.122	23.878	92.856	7.144	3.60	0.950	bicubic
1287	mobilenetv1_100.ra4_e3600_r224_in1k	256	76.086	23.914	93.012	6.988	4.23	0.950	bicubic
1288	mixnet_s.ft_in1k	224	76.002	23.998	92.802	7.198	4.13	0.875	bicubic
1289	vit_small_patch32_224.augreg_in21k_ft_in1k	224	75.996	24.004	93.272	6.728	22.88	0.900	bicubic
1290	resnet50.a3_in1k	160	75.994	24.006	92.494	7.506	25.56	0.950	bicubic
1291	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	384	75.962	24.038	93.276	6.724	6.36	1.000	bicubic
1292	convnext_atto_ols.a2_in1k	224	75.944	24.056	92.930	7.070	3.70	0.950	bicubic
1293	hardcorenas_a.miil_green_in1k	224	75.926	24.074	92.486	7.514	5.26	0.875	bilinear
1294	densenet169.tv_in1k	224	75.922	24.078	92.976	7.024	14.15	0.875	bicubic
1295	mobileone_s1.apple_in1k	224	75.786	24.214	92.792	7.208	4.83	0.900	bilinear
1296	mobilenetv3_large_100.ra_in1k	224	75.784	24.216	92.528	7.472	5.48	0.875	bicubic
1297	edgenext_x_small.in1k	288	75.706	24.294	92.760	7.240	2.34	1.000	bicubic
1298	tf_mixnet_s.in1k	224	75.652	24.348	92.628	7.372	4.13	0.875	bicubic
1299	convnext_atto.d2_in1k	224	75.640	24.360	92.902	7.098	3.70	0.950	bicubic
1300	mobilenetv3_rw.rmsp_in1k	224	75.614	24.386	92.698	7.302	5.48	0.875	bicubic
1301	mobilevitv2_075.cvnets_in1k	256	75.604	24.396	92.754	7.246	2.87	0.888	bicubic
1302	regnety_004.tv2_in1k	224	75.590	24.410	92.708	7.292	4.34	0.965	bicubic
1303	resnest14d.gluon_in1k	224	75.522	24.478	92.506	7.494	10.61	0.875	bilinear
1304	tf_mobilenetv3_large_100.in1k	224	75.514	24.486	92.602	7.398	5.48	0.875	bilinear
1305	resnet34.a2_in1k	224	75.514	24.486	92.390	7.610	21.80	1.000	bicubic
1306	densenet121.ra_in1k	224	75.492	24.508	92.614	7.386	7.98	0.950	bicubic
1307	efficientnet_lite0.ra_in1k	224	75.490	24.510	92.514	7.486	4.65	0.875	bicubic
1308	mobilenetv1_100h.ra4_e3600_r224_in1k	224	75.488	24.512	92.556	7.444	5.28	0.950	bicubic
1309	xcit_nano_12_p16_384.fb_dist_in1k	384	75.468	24.532	92.670	7.330	3.05	1.000	bicubic
1310	vit_tiny_patch16_224.augreg_in21k_ft_in1k	224	75.458	24.542	92.844	7.156	5.72	0.900	bicubic
1311	semnasnet_100.rmsp_in1k	224	75.452	24.548	92.610	7.390	3.89	0.875	bicubic
1312	resnet26.bt_in1k	224	75.336	24.664	92.640	7.360	16.00	0.950	bicubic
1313	regnety_006.pycls_in1k	224	75.262	24.738	92.524	7.476	6.06	0.875	bicubic
1314	ghostnetv2_100.in1k	224	75.176	24.824	92.334	7.666	6.16	0.875	bicubic
1315	repvgg_b0.rvgg_in1k	224	75.162	24.838	92.420	7.580	15.82	0.875	bilinear
1316	hrnet_w18_small_v2.ms_in1k	224	75.118	24.882	92.418	7.582	15.60	0.875	bilinear
1317	fbnetc_100.rmsp_in1k	224	75.114	24.886	92.382	7.618	5.57	0.875	bilinear
1318	seresnet50.a3_in1k	160	75.100	24.900	92.096	7.904	28.09	0.950	bicubic
1319	repghostnet_111.in1k	224	75.068	24.932	92.196	7.804	4.54	0.875	bicubic
1320	regnetx_008.pycls_in1k	224	75.062	24.938	92.340	7.660	7.26	0.875	bicubic
1321	mobilenetv2_110d.ra_in1k	224	75.054	24.946	92.186	7.814	4.52	0.875	bicubic
1322	efficientnet_es_pruned.in1k	224	75.012	24.988	92.444	7.556	5.44	0.875	bicubic
1323	mobilenetv1_100.ra4_e3600_r224_in1k	224	74.998	25.002	92.406	7.594	4.23	0.950	bicubic
1324	tinynet_b.in1k	188	74.974	25.026	92.188	7.812	3.73	0.875	bicubic
1325	resnet34.bt_in1k	224	74.908	25.092	92.244	7.756	21.80	0.950	bicubic
1326	vit_base_patch32_224.augreg_in1k	224	74.906	25.094	91.770	8.230	88.22	0.900	bicubic
1327	edgenext_x_small.in1k	256	74.860	25.140	92.172	7.828	2.34	1.000	bicubic
1328	tf_efficientnet_lite0.in1k	224	74.846	25.154	92.180	7.820	4.65	0.875	bicubic
1329	legacy_seresnet34.in1k	224	74.788	25.212	92.134	7.866	21.96	0.875	bilinear
1330	densenet121.tv_in1k	224	74.748	25.252	92.154	7.846	7.98	0.875	bicubic
1331	mnasnet_100.rmsp_in1k	224	74.662	25.338	92.108	7.892	4.38	0.875	bicubic
1332	mobilenetv4_conv_small.e2400_r224_in1k	256	74.644	25.356	92.022	7.978	3.77	0.950	bicubic
1333	dla34.in1k	224	74.640	25.360	92.052	7.948	15.74	0.875	bilinear
1334	mobilevit_xs.cvnets_in1k	256	74.632	25.368	92.348	7.652	2.32	0.900	bicubic
1335	regnetx_004_tv.tv2_in1k	224	74.602	25.398	92.172	7.828	5.50	0.965	bicubic
1336	resnet34.gluon_in1k	224	74.574	25.426	91.988	8.012	21.80	0.875	bicubic
1337	deit_tiny_distilled_patch16_224.fb_in1k	224	74.540	25.460	91.894	8.106	5.91	0.900	bicubic
1338	repvgg_a1.rvgg_in1k	224	74.468	25.532	91.840	8.160	14.09	0.875	bilinear
1339	efficientvit_m4.r224_in1k	224	74.358	25.642	91.982	8.018	8.80	0.875	bicubic
1340	mobilenetv4_conv_small.e1200_r224_in1k	256	74.296	25.704	92.118	7.882	3.77	0.950	bicubic
1341	pit_ti_distilled_224.in1k	224	74.278	25.722	91.928	8.072	5.10	0.900	bicubic
1342	vgg19_bn.tv_in1k	224	74.236	25.764	91.844	8.156	143.68	0.875	bilinear
1343	repghostnet_100.in1k	224	74.200	25.800	91.550	8.450	4.07	0.875	bicubic
1344	spnasnet_100.rmsp_in1k	224	74.082	25.918	91.828	8.172	4.42	0.875	bilinear
1345	regnety_004.pycls_in1k	224	74.006	25.994	91.756	8.244	4.34	0.875	bicubic
1346	crossvit_9_240.in1k	240	73.976	26.024	91.976	8.024	8.55	0.875	bicubic
1347	ghostnet_100.in1k	224	73.960	26.040	91.542	8.458	5.18	0.875	bicubic
1348	hrnet_w18_small.gluon_in1k	224	73.934	26.066	91.170	8.830	13.19	0.875	bicubic
1349	xcit_nano_12_p8_224.fb_in1k	224	73.896	26.104	92.154	7.846	3.05	1.000	bicubic
1350	regnetx_006.pycls_in1k	224	73.884	26.116	91.666	8.334	6.20	0.875	bicubic
1351	resnet18d.ra2_in1k	288	73.794	26.206	91.834	8.166	11.71	0.950	bicubic
1352	vit_base_patch32_224.sam_in1k	224	73.706	26.294	91.012	8.988	88.22	0.900	bicubic
1353	mobilenetv4_conv_small.e2400_r224_in1k	224	73.686	26.314	91.380	8.620	3.77	0.950	bicubic
1354	tf_mobilenetv3_large_075.in1k	224	73.448	26.552	91.344	8.656	3.99	0.875	bilinear
1355	efficientvit_m3.r224_in1k	224	73.396	26.604	91.346	8.654	6.90	0.875	bicubic
1356	vgg16_bn.tv_in1k	224	73.356	26.644	91.500	8.500	138.37	0.875	bilinear
1357	crossvit_tiny_240.in1k	240	73.330	26.670	91.910	8.090	7.01	0.875	bicubic
1358	resnet34.tv_in1k	224	73.298	26.702	91.422	8.578	21.80	0.875	bilinear
1359	resnet18.fb_swsl_ig1b_ft_in1k	224	73.288	26.712	91.754	8.246	11.69	0.875	bilinear
1360	mobilenetv4_conv_small.e1200_r224_in1k	224	73.168	26.832	91.210	8.790	3.77	0.950	bicubic
1361	resnet18.a1_in1k	288	73.164	26.836	91.054	8.946	11.69	1.000	bicubic
1362	convit_tiny.fb_in1k	224	73.126	26.874	91.690	8.310	5.71	0.875	bicubic
1363	skresnet18.ra_in1k	224	73.020	26.980	91.172	8.828	11.96	0.875	bicubic
1364	semnasnet_075.rmsp_in1k	224	72.992	27.008	91.118	8.882	2.91	0.875	bicubic
1365	resnet34.a3_in1k	224	72.982	27.018	91.116	8.884	21.80	0.950	bicubic
1366	mobilenetv2_100.ra_in1k	224	72.962	27.038	91.020	8.980	3.50	0.875	bicubic
1367	pit_ti_224.in1k	224	72.924	27.076	91.412	8.588	4.85	0.900	bicubic
1368	resnet18.fb_ssl_yfcc100m_ft_in1k	224	72.636	27.364	91.416	8.584	11.69	0.875	bilinear
1369	resnet18d.ra2_in1k	224	72.466	27.534	90.812	9.188	11.71	0.950	bicubic
1370	regnetx_004.pycls_in1k	224	72.432	27.568	90.848	9.152	5.16	0.875	bicubic
1371	repvgg_a0.rvgg_in1k	224	72.424	27.576	90.514	9.486	9.11	0.875	bilinear
1372	vgg19.tv_in1k	224	72.400	27.600	90.878	9.122	143.67	0.875	bilinear
1373	resnet18.a2_in1k	288	72.362	27.638	90.614	9.386	11.69	1.000	bicubic
1374	hrnet_w18_small.ms_in1k	224	72.346	27.654	90.684	9.316	13.19	0.875	bilinear
1375	xcit_nano_12_p16_224.fb_dist_in1k	224	72.318	27.682	90.826	9.174	3.05	1.000	bicubic
1376	tf_mobilenetv3_large_minimal_100.in1k	224	72.270	27.730	90.662	9.338	3.92	0.875	bilinear
1377	resnet14t.c3_in1k	224	72.242	27.758	90.318	9.682	10.08	0.950	bicubic
1378	repghostnet_080.in1k	224	72.236	27.764	90.492	9.508	3.28	0.875	bicubic
1379	deit_tiny_patch16_224.fb_in1k	224	72.196	27.804	91.100	8.900	5.72	0.900	bicubic
1380	lcnet_100.ra2_in1k	224	72.128	27.872	90.368	9.632	2.95	0.875	bicubic
1381	mixer_l16_224.goog_in21k_ft_in1k	224	72.090	27.910	87.650	12.350	208.20	0.875	bicubic
1382	edgenext_xx_small.in1k	288	71.886	28.114	90.534	9.466	1.33	1.000	bicubic
1383	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	224	71.820	28.180	90.814	9.186	6.34	0.900	bicubic
1384	legacy_seresnet18.in1k	224	71.742	28.258	90.340	9.660	11.78	0.875	bicubic
1385	vgg16.tv_in1k	224	71.600	28.400	90.398	9.602	138.36	0.875	bilinear
1386	vgg13_bn.tv_in1k	224	71.590	28.410	90.378	9.622	133.05	0.875	bilinear
1387	efficientvit_b0.r224_in1k	224	71.400	28.600	89.434	10.566	3.41	0.950	bicubic
1388	mobileone_s0.apple_in1k	224	71.398	28.602	89.864	10.136	5.29	0.875	bilinear
1389	tinynet_c.in1k	184	71.236	28.764	89.748	10.252	2.46	0.875	bicubic
1390	resnet18.a1_in1k	224	71.110	28.890	89.786	10.214	11.69	1.000	bicubic
1391	resnet14t.c3_in1k	176	71.054	28.946	89.686	10.314	10.08	0.950	bicubic
1392	edgenext_xx_small.in1k	256	71.008	28.992	89.860	10.140	1.33	1.000	bicubic
1393	resnet18.gluon_in1k	224	70.844	29.156	89.750	10.250	11.69	0.875	bicubic
1394	efficientvit_m2.r224_in1k	224	70.800	29.200	90.160	9.840	4.19	0.875	bicubic
1395	pvt_v2_b0.in1k	224	70.656	29.344	90.212	9.788	3.67	0.900	bicubic
1396	resnet34.a3_in1k	160	70.572	29.428	89.522	10.478	21.80	0.950	bicubic
1397	vgg11_bn.tv_in1k	224	70.384	29.616	89.808	10.192	132.87	0.875	bilinear
1398	regnety_002.pycls_in1k	224	70.294	29.706	89.534	10.466	3.16	0.875	bicubic
1399	resnet18.a2_in1k	224	70.258	29.742	89.366	10.634	11.69	1.000	bicubic
1400	mobilevitv2_050.cvnets_in1k	256	70.152	29.848	89.930	10.070	1.37	0.888	bicubic
1401	xcit_nano_12_p16_224.fb_in1k	224	69.982	30.018	89.782	10.218	3.05	1.000	bicubic
1402	vgg13.tv_in1k	224	69.940	30.060	89.256	10.744	133.05	0.875	bilinear
1403	resnet18.tv_in1k	224	69.752	30.248	89.082	10.918	11.69	0.875	bilinear
1404	vgg11.tv_in1k	224	69.048	30.952	88.632	11.368	132.86	0.875	bilinear
1405	repghostnet_058.in1k	224	68.934	31.066	88.386	11.614	2.55	0.875	bicubic
1406	mobilevit_xxs.cvnets_in1k	256	68.930	31.070	88.942	11.058	1.27	0.900	bicubic
1407	lcnet_075.ra2_in1k	224	68.784	31.216	88.388	11.612	2.36	0.875	bicubic
1408	regnetx_002.pycls_in1k	224	68.760	31.240	88.564	11.436	2.68	0.875	bicubic
1409	efficientvit_m1.r224_in1k	224	68.354	31.646	88.684	11.316	2.98	0.875	bicubic
1410	resnet10t.c3_in1k	224	68.346	31.654	88.022	11.978	5.44	0.950	bicubic
1411	resnet18.a3_in1k	224	68.246	31.754	88.158	11.842	11.69	0.950	bicubic
1412	tf_mobilenetv3_small_100.in1k	224	67.932	32.068	87.686	12.314	2.54	0.875	bilinear
1413	dla60x_c.in1k	224	67.928	32.072	88.434	11.566	1.32	0.875	bilinear
1414	mobilenetv3_small_100.lamb_in1k	224	67.638	32.362	87.650	12.350	2.54	0.875	bicubic
1415	repghostnet_050.in1k	224	66.980	33.020	86.940	13.060	2.31	0.875	bicubic
1416	tinynet_d.in1k	152	66.970	33.030	87.056	12.944	2.34	0.875	bicubic
1417	resnet10t.c3_in1k	176	66.434	33.566	86.628	13.372	5.44	0.950	bicubic
1418	mnasnet_small.lamb_in1k	224	66.196	33.804	86.472	13.528	2.03	0.875	bicubic
1419	dla46x_c.in1k	224	66.008	33.992	86.946	13.054	1.07	0.875	bilinear
1420	mobilenetv2_050.lamb_in1k	224	65.934	34.066	86.088	13.912	1.97	0.875	bicubic
1421	tf_mobilenetv3_small_075.in1k	224	65.724	34.276	86.134	13.866	2.04	0.875	bilinear
1422	resnet18.a3_in1k	160	65.664	34.336	86.278	13.722	11.69	0.950	bicubic
1423	mobilenetv3_small_075.lamb_in1k	224	65.272	34.728	85.470	14.530	2.04	0.875	bicubic
1424	dla46_c.in1k	224	64.880	35.120	86.330	13.670	1.30	0.875	bilinear
1425	efficientvit_m0.r224_in1k	224	63.294	36.706	85.150	14.850	2.35	0.875	bicubic
1426	lcnet_050.ra2_in1k	224	63.130	36.870	84.400	15.600	1.88	0.875	bicubic
1427	tf_mobilenetv3_small_minimal_100.in1k	224	62.894	37.106	84.282	15.718	2.04	0.875	bilinear
1428	tinynet_e.in1k	106	59.870	40.130	81.786	18.214	2.04	0.875	bicubic
1429	mobilenetv3_small_050.lamb_in1k	224	57.924	42.076	80.142	19.858	1.59	0.875	bicubic
1430	test_efficientnet.r160_in1k	160	46.424	53.576	70.958	29.042	0.36	0.875	bicubic
1431	test_byobnet.r160_in1k	160	45.396	54.604	70.604	29.396	0.46	0.875	bicubic
1432	test_vit.r160_in1k	160	40.832	59.168	67.206	32.794	0.37	0.875	bicubic