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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	crop_pct	interpolation	top1_diff	top5_diff	rank_diff
2	eva_giant_patch14_336.clip_ft_in1k	71.177	28.823	90.299	9.701	1,013.01	336	1.000	bicubic	-18.289	-8.527	+6
3	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	70.662	29.338	89.856	10.144	305.08	448	1.000	bicubic	-19.390	-9.192	-1
4	eva02_large_patch14_448.mim_m38m_ft_in1k	70.546	29.454	89.843	10.157	305.08	448	1.000	bicubic	-19.028	-9.081	+2
5	convnext_xxlarge.clip_laion2b_soup_ft_in1k	70.039	29.961	90.334	9.666	846.47	256	1.000	bicubic	-18.565	-8.374	+10
6	eva_giant_patch14_224.clip_ft_in1k	70.021	29.979	89.768	10.232	1,012.56	224	0.900	bicubic	-18.859	-8.912	+4
7	eva_giant_patch14_336.m30m_ft_in22k_in1k	68.052	31.948	87.819	12.181	1,013.01	336	1.000	bicubic	-21.514	-11.133	0
8	eva02_large_patch14_448.mim_in22k_ft_in22k_in1k	67.533	32.467	87.506	12.494	305.08	448	1.000	bicubic	-22.437	-11.506	-5
9	eva_giant_patch14_560.m30m_ft_in22k_in1k	67.486	32.514	87.473	12.527	1,014.45	560	1.000	bicubic	-22.300	-11.519	-5
10	vit_huge_patch14_clip_224.laion2b_ft_in1k	67.396	32.604	87.882	12.118	632.05	224	1.000	bicubic	-20.192	-10.337	+39
11	eva02_large_patch14_448.mim_in22k_ft_in1k	66.987	33.013	87.443	12.557	305.08	448	1.000	bicubic	-22.635	-11.507	-6
12	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	66.435	33.565	87.349	12.651	200.13	384	1.000	bicubic	-21.413	-11.097	+31
13	vit_large_patch14_clip_336.laion2b_ft_in1k	65.741	34.259	86.909	13.091	304.53	336	1.000	bicubic	-22.115	-11.459	+28
14	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	65.731	34.269	87.017	12.983	200.13	384	1.000	bicubic	-22.575	-11.565	+10
15	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	65.323	34.677	86.826	13.174	632.05	224	1.000	bicubic	-22.933	-11.726	+11
16	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	65.260	34.740	86.757	13.242	632.46	336	1.000	bicubic	-23.332	-11.905	+1
17	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	65.091	34.909	86.284	13.716	200.13	256	1.000	bicubic	-22.245	-11.934	+42
18	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	64.918	35.082	86.649	13.351	200.13	320	1.000	bicubic	-23.040	-11.827	+19
19	vit_large_patch14_clip_224.laion2b_ft_in1k	64.820	35.181	86.575	13.425	304.20	224	1.000	bicubic	-22.466	-11.669	+43
20	regnety_1280.swag_ft_in1k	64.106	35.894	86.034	13.966	644.81	384	1.000	bicubic	-24.124	-12.652	+9
21	vit_large_patch14_clip_336.openai_ft_in12k_in1k	64.065	35.935	85.912	14.088	304.53	336	1.000	bicubic	-24.203	-12.614	+4
22	eva_large_patch14_336.in22k_ft_in1k	63.096	36.904	84.382	15.618	304.53	336	1.000	bicubic	-25.574	-14.340	-8
23	vit_large_patch14_clip_224.openai_ft_in1k	62.629	37.371	85.109	14.891	304.20	224	1.000	bicubic	-25.225	-13.317	+19
24	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	62.065	37.935	84.313	15.687	304.20	224	1.000	bicubic	-25.830	-14.095	+16
25	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	61.611	38.389	83.651	16.349	304.53	336	1.000	bicubic	-26.569	-14.921	+8
26	vit_large_patch14_clip_224.openai_ft_in12k_in1k	61.402	38.598	83.362	16.638	304.20	224	1.000	bicubic	-26.772	-15.184	+8
27	eva_large_patch14_196.in22k_ft_in1k	61.113	38.887	82.776	17.224	304.14	196	1.000	bicubic	-26.819	-15.722	+11
28	eva_large_patch14_336.in22k_ft_in22k_in1k	60.944	39.056	82.136	17.864	304.53	336	1.000	bicubic	-28.262	-16.718	-19
29	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	60.795	39.205	83.220	16.780	88.59	384	1.000	bicubic	-26.339	-15.002	+36
30	convnext_base.clip_laion2b_augreg_ft_in1k	60.276	39.724	82.678	17.322	88.59	256	1.000	bicubic	-25.882	-15.002	+90
31	regnety_1280.swag_lc_in1k	59.913	40.087	83.161	16.839	644.81	224	0.965	bicubic	-26.069	-14.689	+105
32	eva_large_patch14_196.in22k_ft_in22k_in1k	59.883	40.117	81.143	18.857	304.14	196	1.000	bicubic	-28.691	-17.515	-14
33	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	59.836	40.164	82.810	17.190	88.59	256	1.000	bicubic	-26.534	-15.174	+74
34	convnext_base.clip_laiona_augreg_ft_in1k_384	59.392	40.608	82.242	17.758	88.59	384	1.000	bicubic	-27.110	-15.726	+63
35	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	58.512	41.488	80.797	19.203	87.12	448	1.000	bicubic	-30.178	-17.927	-23
36	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	58.376	41.624	80.398	19.602	468.53	224	0.875	bilinear	-26.722	-17.040	+163
37	beitv2_large_patch16_224.in1k_ft_in22k_in1k	58.366	41.634	80.226	19.774	304.43	224	0.950	bicubic	-30.028	-18.372	-16
38	eva02_base_patch14_448.mim_in22k_ft_in1k	58.036	41.964	80.768	19.232	87.12	448	1.000	bicubic	-30.216	-17.796	-11
39	regnety_320.swag_ft_in1k	57.906	42.094	81.456	18.544	145.05	384	1.000	bicubic	-28.928	-16.906	+42
40	convnextv2_huge.fcmae_ft_in22k_in1k_384	57.865	42.135	79.671	20.329	660.29	384	1.000	bicubic	-30.805	-19.067	-27
41	convnextv2_huge.fcmae_ft_in22k_in1k_512	57.851	42.149	79.497	20.503	660.29	512	1.000	bicubic	-31.007	-19.251	-30
42	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	57.696	42.304	79.907	20.093	194.03	224	0.875	bilinear	-26.470	-17.291	+242
43	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	57.478	42.522	80.373	19.627	194.03	224	0.875	bilinear	-25.858	-16.473	+333
44	vit_base_patch16_clip_384.laion2b_ft_in1k	56.879	43.121	80.004	19.997	86.86	384	1.000	bicubic	-29.739	-18.004	+45
45	beit_large_patch16_384.in22k_ft_in22k_in1k	56.879	43.121	79.221	20.779	305.00	384	1.000	bicubic	-31.523	-19.387	-24
46	beit_large_patch16_512.in22k_ft_in22k_in1k	56.757	43.243	78.911	21.089	305.67	512	1.000	bicubic	-31.839	-19.745	-30
47	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	56.438	43.562	78.931	21.069	88.79	224	0.875	bilinear	-27.864	-18.245	+223
48	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	56.327	43.673	77.305	22.695	116.14	384	1.000	bicubic	-31.502	-21.067	-4
49	maxvit_xlarge_tf_384.in21k_ft_in1k	56.212	43.788	78.742	21.258	475.32	384	1.000	bicubic	-32.101	-19.802	-26
50	maxvit_xlarge_tf_512.in21k_ft_in1k	56.156	43.844	78.636	21.364	475.77	512	1.000	bicubic	-32.382	-20.008	-31
51	maxvit_base_tf_512.in21k_ft_in1k	56.083	43.917	78.606	21.394	119.88	512	1.000	bicubic	-32.137	-19.924	-20
52	deit3_huge_patch14_224.fb_in22k_ft_in1k	55.767	44.233	77.626	22.374	632.13	224	1.000	bicubic	-31.420	-20.634	+12
53	maxvit_base_tf_384.in21k_ft_in1k	55.639	44.361	78.078	21.922	119.65	384	1.000	bicubic	-32.283	-20.466	-14
54	vit_base_patch16_clip_224.laion2b_ft_in1k	55.405	44.595	79.050	20.950	86.57	224	1.000	bicubic	-30.065	-18.525	+111
55	regnety_320.swag_lc_in1k	55.354	44.646	79.703	20.297	145.05	224	0.965	bicubic	-29.194	-17.739	+184
56	regnety_160.swag_ft_in1k	55.177	44.823	79.316	20.684	83.59	384	1.000	bicubic	-30.843	-18.736	+74
57	maxvit_large_tf_512.in21k_ft_in1k	55.171	44.829	77.276	22.724	212.33	512	1.000	bicubic	-33.053	-21.322	-27
58	maxvit_large_tf_384.in21k_ft_in1k	55.077	44.923	77.142	22.858	212.03	384	1.000	bicubic	-32.909	-21.426	-22
59	beit_large_patch16_224.in22k_ft_in22k_in1k	54.965	45.035	77.608	22.392	304.43	224	0.900	bicubic	-32.513	-20.696	-8
60	convnext_xlarge.fb_in22k_ft_in1k_384	54.961	45.039	76.824	23.176	350.20	384	1.000	bicubic	-32.791	-21.732	-15
61	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	54.908	45.092	77.541	22.459	88.79	224	0.875	bilinear	-27.790	-18.603	+374
62	deit3_large_patch16_384.fb_in22k_ft_in1k	54.886	45.114	77.372	22.628	304.76	384	1.000	bicubic	-32.834	-21.140	-16
63	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	54.747	45.253	76.848	23.152	116.09	384	1.000	bicubic	-32.717	-21.526	-10
64	caformer_b36.sail_in22k_ft_in1k_384	54.440	45.560	76.830	23.170	98.75	384	1.000	bicubic	-33.618	-21.752	-29
65	deit3_large_patch16_224.fb_in22k_ft_in1k	54.359	45.641	76.563	23.437	304.37	224	1.000	bicubic	-32.623	-21.673	+9
66	beitv2_large_patch16_224.in1k_ft_in1k	54.161	45.839	75.562	24.438	304.43	224	0.950	bicubic	-33.251	-22.671	-9
67	convnextv2_large.fcmae_ft_in22k_in1k_384	53.947	46.053	76.007	23.993	197.96	384	1.000	bicubic	-34.251	-22.521	-35
68	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	53.731	46.269	75.140	24.860	116.14	224	0.950	bicubic	-33.163	-22.874	+9
69	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	53.587	46.413	76.337	23.663	44.18	224	0.875	bilinear	-29.639	-20.423	+316
70	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	53.493	46.507	75.653	24.347	86.86	384	1.000	bicubic	-33.713	-22.381	-7
71	vit_base_patch16_clip_384.openai_ft_in1k	53.074	46.926	76.655	23.345	86.86	384	1.000	bicubic	-33.132	-21.221	+44
72	regnety_160.swag_lc_in1k	53.043	46.957	78.090	21.910	83.59	224	0.965	bicubic	-30.739	-19.190	+253
73	convnextv2_base.fcmae_ft_in22k_in1k_384	52.907	47.093	75.083	24.917	88.72	384	1.000	bicubic	-34.737	-23.333	-26
74	convformer_b36.sail_in22k_ft_in1k_384	52.874	47.126	74.979	25.021	99.88	384	1.000	bicubic	-34.728	-23.455	-26
75	convnext_large.fb_in22k_ft_in1k_384	52.774	47.226	74.700	25.300	197.77	384	1.000	bicubic	-34.698	-23.686	-23
76	vit_large_patch16_384.augreg_in21k_ft_in1k	52.760	47.240	74.706	25.294	304.72	384	1.000	bicubic	-34.324	-23.596	-8
77	caformer_b36.sail_in22k_ft_in1k	52.756	47.244	75.309	24.691	98.75	224	1.000	bicubic	-34.664	-23.019	-21
78	convformer_b36.sail_in22k_ft_in1k	52.746	47.254	74.896	25.104	99.88	224	1.000	bicubic	-34.252	-23.276	-6
79	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	52.389	47.611	73.802	26.198	73.88	384	1.000	bicubic	-34.994	-24.510	-21
80	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	52.304	47.696	74.415	25.585	196.74	384	1.000	bicubic	-35.160	-23.835	-26
81	convnext_xlarge.fb_in22k_ft_in1k	52.216	47.784	73.955	26.045	350.20	288	1.000	bicubic	-35.114	-24.373	-21
82	vit_large_r50_s32_384.augreg_in21k_ft_in1k	52.041	47.959	73.570	26.430	329.09	384	1.000	bicubic	-34.141	-24.352	+35
83	vit_large_patch16_224.augreg_in21k_ft_in1k	51.819	48.181	73.690	26.310	304.33	224	0.900	bicubic	-34.017	-23.974	+57
84	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	51.785	48.215	74.637	25.363	86.57	224	0.950	bicubic	-34.385	-23.119	+34
85	convnext_base.fb_in22k_ft_in1k_384	51.565	48.435	74.543	25.457	88.59	384	1.000	bicubic	-35.231	-23.721	-1
86	tf_efficientnet_l2.ns_jft_in1k_475	51.496	48.504	73.931	26.069	480.31	475	0.936	bicubic	-36.738	-24.615	-58
87	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	51.190	48.810	73.126	26.874	116.09	224	0.950	bicubic	-35.452	-24.894	+2
88	vit_base_patch16_clip_384.openai_ft_in12k_in1k	51.153	48.847	74.323	25.677	86.86	384	0.950	bicubic	-35.873	-23.859	-17
89	caformer_m36.sail_in22k_ft_in1k_384	51.048	48.952	73.442	26.558	56.20	384	1.000	bicubic	-36.398	-24.866	-34
90	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	50.976	49.024	73.295	26.705	87.92	384	1.000	bicubic	-36.120	-24.939	-23
91	vit_base_patch16_clip_224.openai_ft_in1k	50.936	49.064	74.841	25.159	86.57	224	0.900	bicubic	-34.356	-22.595	+88
92	seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	50.710	49.290	73.666	26.334	149.39	384	1.000	bicubic	-36.578	-24.668	-31
93	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	50.465	49.535	73.366	26.634	25.03	224	0.875	bilinear	-31.707	-22.858	+420
94	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	50.433	49.567	72.735	27.265	196.74	256	0.900	bicubic	-36.519	-25.371	-19
95	swin_large_patch4_window12_384.ms_in22k_ft_in1k	50.394	49.606	72.538	27.462	196.74	384	1.000	bicubic	-36.738	-25.696	-29
96	convnextv2_large.fcmae_ft_in22k_in1k	50.160	49.840	72.399	27.601	197.96	288	1.000	bicubic	-37.324	-25.957	-46
97	convnext_large.fb_in22k_ft_in1k	49.999	50.001	72.267	27.733	197.77	288	1.000	bicubic	-37.027	-25.937	-27
98	tf_efficientnetv2_xl.in21k_ft_in1k	49.722	50.278	72.124	27.876	208.12	512	1.000	bicubic	-37.026	-25.890	-12
99	vit_base_patch16_clip_224.openai_ft_in12k_in1k	49.700	50.300	72.868	27.132	86.57	224	0.950	bicubic	-36.242	-24.860	+37
100	caformer_m36.sail_in22k_ft_in1k	49.700	50.300	72.141	27.859	56.20	224	1.000	bicubic	-36.894	-25.883	-7
101	resnet50.fb_swsl_ig1b_ft_in1k	49.531	50.469	72.338	27.662	25.56	224	0.875	bilinear	-31.641	-23.648	+508
102	beitv2_base_patch16_224.in1k_ft_in22k_in1k	49.516	50.484	72.391	27.609	86.53	224	0.900	bicubic	-36.958	-25.661	-1
103	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	49.394	50.606	70.848	29.152	73.88	224	0.950	bicubic	-37.110	-27.046	-7
104	convnextv2_base.fcmae_ft_in22k_in1k	49.142	50.858	71.230	28.770	88.72	288	1.000	bicubic	-37.856	-26.939	-31
105	convformer_m36.sail_in22k_ft_in1k_384	49.132	50.868	71.387	28.613	57.05	384	1.000	bicubic	-37.760	-26.729	-27
106	convformer_m36.sail_in22k_ft_in1k	49.091	50.909	71.471	28.529	57.05	224	1.000	bicubic	-37.057	-26.379	+15
107	vit_base_patch32_clip_224.laion2b_ft_in1k	49.062	50.938	72.584	27.416	88.22	224	0.900	bicubic	-33.520	-23.617	+350
108	swin_large_patch4_window7_224.ms_in22k_ft_in1k	48.993	51.007	71.387	28.613	196.53	224	0.900	bicubic	-37.319	-26.515	+1
109	convnext_base.fb_in22k_ft_in1k	48.938	51.062	71.748	28.252	88.59	288	1.000	bicubic	-37.336	-26.344	+2
110	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	48.781	51.219	71.410	28.590	87.92	256	0.900	bicubic	-37.487	-26.472	+2
111	tf_efficientnetv2_l.in21k_ft_in1k	48.739	51.261	71.992	28.008	118.52	480	1.000	bicubic	-38.063	-26.144	-29
112	coatnet_2_rw_224.sw_in12k_ft_in1k	48.678	51.322	70.123	29.877	73.87	224	0.950	bicubic	-37.885	-27.773	-18
113	beit_base_patch16_384.in22k_ft_in22k_in1k	48.669	51.331	72.102	27.898	86.74	384	1.000	bicubic	-38.131	-26.034	-30
114	swin_base_patch4_window12_384.ms_in22k_ft_in1k	48.545	51.455	71.819	28.181	87.90	384	1.000	bicubic	-37.893	-26.247	-10
115	caformer_s36.sail_in22k_ft_in1k_384	48.486	51.514	71.518	28.482	39.30	384	1.000	bicubic	-38.372	-26.694	-36
116	maxvit_base_tf_512.in1k	48.240	51.760	70.793	29.207	119.88	512	1.000	bicubic	-38.362	-27.125	-25
117	vit_large_r50_s32_224.augreg_in21k_ft_in1k	48.185	51.815	70.866	29.134	328.99	224	0.900	bicubic	-36.233	-26.306	+144
118	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	47.934	52.066	70.923	29.077	88.30	384	1.000	bicubic	-37.432	-26.737	+58
119	tf_efficientnet_b7.ns_jft_in1k	47.798	52.202	69.638	30.362	66.35	600	0.949	bicubic	-39.042	-28.454	-39
120	tf_efficientnet_b6.ns_jft_in1k	47.761	52.239	69.956	30.044	43.04	528	0.942	bicubic	-38.697	-27.934	-17
121	vit_base_patch8_224.augreg_in21k_ft_in1k	47.727	52.273	70.933	29.067	86.58	224	0.900	bicubic	-38.071	-26.857	+23
122	deit3_base_patch16_384.fb_in22k_ft_in1k	47.676	52.324	69.752	30.248	86.88	384	1.000	bicubic	-39.064	-28.364	-35
123	tf_efficientnet_l2.ns_jft_in1k	47.574	52.426	70.019	29.981	480.31	800	0.960	bicubic	-40.778	-28.629	-101
124	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	47.570	52.430	70.047	29.953	88.34	448	1.000	bicubic	-38.210	-27.591	+22
125	vit_base_patch8_224.augreg2_in21k_ft_in1k	47.507	52.493	70.326	29.674	86.58	224	0.900	bicubic	-38.711	-27.506	-11
126	tf_efficientnetv2_m.in21k_ft_in1k	47.456	52.544	70.945	29.055	54.14	480	1.000	bicubic	-38.536	-26.999	+7
127	deit3_base_patch16_224.fb_in22k_ft_in1k	47.378	52.622	69.769	30.230	86.59	224	1.000	bicubic	-38.322	-27.977	+25
128	tiny_vit_21m_512.dist_in22k_ft_in1k	47.254	52.746	70.062	29.938	21.27	512	1.000	bicubic	-39.204	-27.822	-26
129	convformer_s36.sail_in22k_ft_in1k_384	47.152	52.848	69.498	30.502	40.01	384	1.000	bicubic	-39.226	-28.486	-23
130	maxvit_large_tf_512.in1k	47.022	52.978	69.506	30.494	212.33	512	1.000	bicubic	-39.504	-28.374	-35
131	convnext_small.fb_in22k_ft_in1k_384	46.882	53.118	69.528	30.472	50.22	384	1.000	bicubic	-38.896	-28.362	+16
132	convnextv2_huge.fcmae_ft_in1k	46.880	53.120	67.785	32.215	660.29	288	1.000	bicubic	-39.700	-30.187	-39
133	convformer_s36.sail_in22k_ft_in1k	46.863	53.137	69.528	30.472	40.01	224	1.000	bicubic	-38.551	-28.040	+37
134	caformer_s36.sail_in22k_ft_in1k	46.708	53.292	69.744	30.256	39.30	224	1.000	bicubic	-39.083	-28.082	+11
135	tiny_vit_21m_384.dist_in22k_ft_in1k	46.256	53.744	69.231	30.769	21.23	384	1.000	bicubic	-39.852	-28.479	-12
136	beit_base_patch16_224.in22k_ft_in22k_in1k	46.254	53.746	69.885	30.115	86.53	224	0.900	bicubic	-38.958	-27.773	+52
137	vit_base_patch32_clip_384.openai_ft_in12k_in1k	46.234	53.766	69.288	30.712	88.30	384	0.950	bicubic	-38.980	-28.116	+49
138	maxvit_base_tf_384.in1k	46.234	53.766	68.531	31.468	119.65	384	1.000	bicubic	-40.068	-29.267	-27
139	hrnet_w48_ssld.paddle_in1k	46.177	53.823	68.056	31.944	77.47	288	1.000	bilinear	-38.303	-29.178	+110
140	beitv2_base_patch16_224.in1k_ft_in1k	46.002	53.998	67.859	32.141	86.53	224	0.900	bicubic	-39.592	-29.647	+17
141	vit_base_patch16_384.augreg_in21k_ft_in1k	45.894	54.106	68.557	31.443	86.86	384	1.000	bicubic	-40.100	-29.445	-9
142	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	45.863	54.137	68.608	31.392	93.59	320	1.000	bicubic	-40.861	-29.568	-54
143	tf_efficientnet_b8.ap_in1k	45.780	54.220	67.907	32.093	87.41	672	0.954	bicubic	-39.584	-29.385	+34
144	maxvit_large_tf_384.in1k	45.760	54.240	68.160	31.840	212.03	384	1.000	bicubic	-40.470	-29.528	-31
145	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	45.758	54.242	68.881	31.119	88.22	224	0.900	bicubic	-37.538	-27.647	+236
146	convnext_small.in12k_ft_in1k_384	45.721	54.279	67.818	32.182	50.22	384	1.000	bicubic	-40.461	-30.104	-30
147	tf_efficientnet_b5.ns_jft_in1k	45.611	54.389	67.850	32.150	30.39	456	0.934	bicubic	-40.477	-29.906	-22
148	swin_base_patch4_window7_224.ms_in22k_ft_in1k	45.532	54.468	68.504	31.496	87.77	224	0.900	bicubic	-39.740	-29.060	+33
149	mvitv2_large.fb_in1k	45.277	54.723	65.183	34.817	217.99	224	0.900	bicubic	-39.967	-32.031	+35
150	vit_base_patch16_224.augreg2_in21k_ft_in1k	45.114	54.886	67.394	32.606	86.57	224	0.900	bicubic	-39.980	-30.136	+50
151	vit_base_patch32_clip_224.openai_ft_in1k	45.031	54.969	68.453	31.547	88.22	224	0.900	bicubic	-36.899	-27.513	+388
152	tiny_vit_21m_224.dist_in22k_ft_in1k	44.851	55.149	67.590	32.410	21.20	224	0.950	bicubic	-40.235	-29.776	+50
153	seresnextaa101d_32x8d.sw_in12k_ft_in1k	44.801	55.199	67.372	32.628	93.59	288	1.000	bicubic	-41.683	-30.658	-53
154	convnextv2_large.fcmae_ft_in1k	44.797	55.203	65.853	34.147	197.96	288	1.000	bicubic	-41.320	-31.969	-32
155	volo_d5_512.sail_in1k	44.577	55.423	65.765	34.235	296.09	512	1.150	bicubic	-42.481	-32.205	-86
156	convnextv2_tiny.fcmae_ft_in22k_in1k_384	44.322	55.678	66.655	33.345	28.64	384	1.000	bicubic	-40.784	-30.973	+41
157	cait_m48_448.fb_dist_in1k	44.212	55.788	64.674	35.326	356.46	448	1.000	bicubic	-42.280	-33.078	-58
158	deit3_large_patch16_384.fb_in1k	44.182	55.818	64.845	35.155	304.76	384	1.000	bicubic	-41.630	-32.753	-15
159	volo_d5_448.sail_in1k	44.100	55.900	65.065	34.935	295.91	448	1.150	bicubic	-42.852	-32.873	-83
160	eva02_small_patch14_336.mim_in22k_ft_in1k	43.960	56.040	65.942	34.058	22.13	336	1.000	bicubic	-41.758	-31.692	-9
161	deit3_huge_patch14_224.fb_in1k	43.807	56.193	64.350	35.650	632.13	224	0.900	bicubic	-41.417	-33.010	+25
162	convnext_small.fb_in22k_ft_in1k	43.620	56.380	66.464	33.536	50.22	288	1.000	bicubic	-41.642	-31.218	+20
163	deit3_large_patch16_224.fb_in1k	43.516	56.484	63.572	36.428	304.37	224	0.900	bicubic	-41.258	-33.464	+63
164	vit_base_r50_s16_384.orig_in21k_ft_in1k	43.501	56.499	66.781	33.219	98.95	384	1.000	bicubic	-41.475	-30.509	+47
165	tf_efficientnet_b4.ns_jft_in1k	43.447	56.553	65.513	34.487	19.34	380	0.922	bicubic	-41.712	-31.955	+28
166	deit3_medium_patch16_224.fb_in22k_ft_in1k	43.276	56.724	64.888	35.112	38.85	224	1.000	bicubic	-41.273	-32.300	+72
167	volo_d5_224.sail_in1k	43.243	56.757	64.079	35.921	295.46	224	0.960	bicubic	-42.827	-33.497	-40
168	vit_base_patch16_224.augreg_in21k_ft_in1k	43.221	56.779	65.722	34.279	86.57	224	0.900	bicubic	-41.310	-31.572	+73
169	volo_d4_448.sail_in1k	43.133	56.867	64.108	35.892	193.41	448	1.150	bicubic	-43.659	-33.776	-84
170	efficientnet_b5.sw_in12k_ft_in1k	42.872	57.128	65.415	34.585	30.39	448	1.000	bicubic	-43.024	-32.321	-32
171	xcit_large_24_p8_384.fb_dist_in1k	42.838	57.162	63.418	36.582	188.93	384	1.000	bicubic	-43.158	-34.272	-40
172	regnety_160.lion_in12k_ft_in1k	42.748	57.252	64.203	35.797	83.59	288	1.000	bicubic	-43.240	-33.632	-38
173	regnety_160.sw_in12k_ft_in1k	42.683	57.317	64.338	35.662	83.59	288	1.000	bicubic	-43.303	-33.496	-38
174	maxvit_small_tf_512.in1k	42.681	57.319	64.537	35.464	69.13	512	1.000	bicubic	-43.403	-33.227	-48
175	convnext_small.in12k_ft_in1k	42.669	57.331	64.342	35.658	50.22	288	1.000	bicubic	-42.661	-33.204	+3
176	xcit_large_24_p8_224.fb_dist_in1k	42.557	57.443	63.098	36.902	188.93	224	1.000	bicubic	-42.845	-34.304	-4
177	tf_efficientnet_b8.ra_in1k	42.498	57.502	64.873	35.127	87.41	672	0.954	bicubic	-42.870	-32.521	-2
178	caformer_b36.sail_in1k	42.465	57.535	62.849	37.151	98.75	224	1.000	bicubic	-43.039	-34.461	-15
179	caformer_b36.sail_in1k_384	42.457	57.543	62.856	37.144	98.75	384	1.000	bicubic	-43.951	-34.958	-74
180	maxvit_large_tf_224.in1k	42.414	57.586	63.399	36.601	211.79	224	0.950	bicubic	-42.528	-33.571	+33
181	cait_m36_384.fb_dist_in1k	42.410	57.590	63.324	36.676	271.22	384	1.000	bicubic	-43.648	-34.406	-53
182	volo_d4_224.sail_in1k	42.304	57.696	63.002	36.998	192.96	224	0.960	bicubic	-43.568	-34.470	-43
183	caformer_s18.sail_in22k_ft_in1k_384	42.054	57.946	64.774	35.226	26.34	384	1.000	bicubic	-43.360	-32.928	-14
184	deit3_small_patch16_384.fb_in22k_ft_in1k	41.954	58.046	64.564	35.436	22.21	384	1.000	bicubic	-42.870	-32.922	+38
185	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	41.891	58.109	63.701	36.299	39.03	384	0.950	bicubic	-43.639	-33.935	-23
186	maxvit_tiny_tf_512.in1k	41.842	58.158	63.576	36.424	31.05	512	1.000	bicubic	-43.822	-34.008	-32
187	caformer_s36.sail_in1k_384	41.738	58.262	62.762	37.238	39.30	384	1.000	bicubic	-44.004	-34.910	-38
188	swin_small_patch4_window7_224.ms_in22k_ft_in1k	41.590	58.410	64.542	35.458	49.61	224	0.900	bicubic	-41.708	-32.422	+192
189	convformer_s18.sail_in22k_ft_in1k_384	41.573	58.427	63.348	36.652	26.77	384	1.000	bicubic	-43.425	-34.222	+21
190	regnety_2560.seer_ft_in1k	41.524	58.476	64.896	35.104	1,282.60	384	1.000	bicubic	-43.626	-32.542	+4
191	caformer_m36.sail_in1k_384	41.498	58.502	61.524	38.476	56.20	384	1.000	bicubic	-44.668	-36.296	-72
192	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	41.486	58.514	61.485	38.515	41.72	224	0.950	bicubic	-43.424	-35.473	+25
193	tf_efficientnet_b7.ra_in1k	41.437	58.563	63.027	36.973	66.35	600	0.949	bicubic	-43.495	-34.181	+21
194	tf_efficientnet_b7.ap_in1k	41.433	58.567	62.880	37.120	66.35	600	0.949	bicubic	-43.691	-34.372	+1
195	tf_efficientnet_b5.ap_in1k	41.418	58.582	62.074	37.926	30.39	456	0.934	bicubic	-42.840	-34.900	+79
196	regnety_120.sw_in12k_ft_in1k	41.331	58.669	63.187	36.813	51.82	288	1.000	bicubic	-44.069	-34.395	-23
197	dm_nfnet_f3.dm_in1k	41.323	58.677	62.110	37.890	254.92	416	0.940	bicubic	-44.363	-35.460	-44
198	resnetv2_152x4_bit.goog_in21k_ft_in1k	41.306	58.694	64.311	35.689	936.53	480	1.000	bilinear	-43.610	-33.127	+17
199	dm_nfnet_f5.dm_in1k	41.290	58.710	62.013	37.987	377.21	544	0.954	bicubic	-44.810	-35.675	-75
200	caformer_s18.sail_in22k_ft_in1k	41.217	58.783	63.831	36.169	26.34	224	1.000	bicubic	-42.857	-33.367	+92
201	dm_nfnet_f6.dm_in1k	41.170	58.830	62.843	37.157	438.36	576	0.956	bicubic	-45.192	-35.053	-93
202	convnext_tiny.in12k_ft_in1k_384	41.113	58.887	62.825	37.175	28.59	384	1.000	bicubic	-44.009	-34.781	-6
203	tf_efficientnet_b6.ap_in1k	41.095	58.905	62.365	37.635	43.04	528	0.942	bicubic	-43.693	-34.773	+22
204	xcit_large_24_p16_384.fb_dist_in1k	41.036	58.964	61.237	38.763	189.10	384	1.000	bicubic	-44.718	-36.301	-56
205	xcit_large_24_p16_224.fb_dist_in1k	40.942	59.058	61.326	38.674	189.10	224	1.000	bicubic	-43.974	-35.802	+11
206	tf_efficientnetv2_l.in1k	40.928	59.072	62.011	37.989	118.52	480	1.000	bicubic	-44.736	-35.463	-51
207	tf_efficientnetv2_s.in21k_ft_in1k	40.922	59.078	63.849	36.151	21.46	384	1.000	bicubic	-43.364	-33.403	+64
208	maxvit_small_tf_384.in1k	40.844	59.156	61.972	38.028	69.02	384	1.000	bicubic	-44.696	-35.490	-47
209	edgenext_base.in21k_ft_in1k	40.836	59.164	61.776	38.224	18.51	320	1.000	bicubic	-43.218	-35.420	+86
210	maxvit_base_tf_224.in1k	40.789	59.211	61.196	38.804	119.47	224	0.950	bicubic	-44.071	-35.792	+10
211	xcit_medium_24_p8_224.fb_dist_in1k	40.498	59.502	60.502	39.498	84.32	224	1.000	bicubic	-44.576	-36.748	-7
212	vit_small_r26_s32_384.augreg_in21k_ft_in1k	40.474	59.526	62.731	37.269	36.47	384	1.000	bicubic	-43.574	-34.597	+85
213	tf_efficientnet_b4.ap_in1k	40.474	59.526	61.713	38.287	19.34	380	0.922	bicubic	-42.776	-34.683	+171
214	deit3_base_patch16_224.fb_in1k	40.382	59.618	60.164	39.836	86.59	224	0.900	bicubic	-43.404	-36.422	+110
215	inception_next_base.sail_in1k_384	40.333	59.667	60.781	39.219	86.67	384	1.000	bicubic	-44.869	-36.633	-25
216	convformer_s18.sail_in22k_ft_in1k	40.301	59.699	61.719	38.281	26.77	224	1.000	bicubic	-43.437	-35.329	+117
217	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	40.278	59.722	61.664	38.336	38.86	256	0.950	bicubic	-44.168	-35.546	+36
218	flexivit_large.600ep_in1k	40.268	59.732	60.365	39.635	304.36	240	0.950	bicubic	-45.272	-37.123	-58
219	vit_base_patch16_224_miil.in21k_ft_in1k	40.164	59.836	60.883	39.117	86.54	224	0.875	bilinear	-44.102	-35.921	+54
220	deit3_small_patch16_224.fb_in22k_ft_in1k	40.152	59.848	61.864	38.136	22.06	224	1.000	bicubic	-42.924	-34.912	+183
221	regnetz_e8.ra3_in1k	40.136	59.864	61.316	38.684	57.70	320	1.000	bicubic	-44.898	-35.956	-14
222	maxvit_rmlp_small_rw_224.sw_in1k	40.105	59.895	59.514	40.486	64.90	224	0.900	bicubic	-44.387	-37.496	+26
223	flexivit_large.1200ep_in1k	40.097	59.903	60.650	39.350	304.36	240	0.950	bicubic	-45.547	-36.890	-67
224	xcit_medium_24_p8_384.fb_dist_in1k	40.050	59.950	60.451	39.549	84.32	384	1.000	bicubic	-45.766	-37.141	-82
225	flexivit_large.300ep_in1k	39.991	60.009	59.987	40.013	304.36	240	0.950	bicubic	-45.297	-37.413	-45
226	maxvit_tiny_tf_384.in1k	39.971	60.029	60.909	39.091	30.98	384	1.000	bicubic	-45.129	-36.469	-28
227	convnextv2_tiny.fcmae_ft_in22k_in1k	39.938	60.062	61.835	38.165	28.64	288	1.000	bicubic	-44.478	-35.425	+35
228	dm_nfnet_f4.dm_in1k	39.926	60.074	60.449	39.551	316.07	512	0.951	bicubic	-45.910	-37.369	-87
229	xcit_medium_24_p16_384.fb_dist_in1k	39.897	60.103	60.097	39.903	84.40	384	1.000	bicubic	-45.527	-37.233	-62
230	convnext_tiny.fb_in22k_ft_in1k_384	39.787	60.213	61.536	38.464	28.59	384	1.000	bicubic	-44.301	-35.608	+61
231	cait_s36_384.fb_dist_in1k	39.767	60.233	60.469	39.531	68.37	384	1.000	bicubic	-45.687	-37.009	-65
232	convnextv2_base.fcmae_ft_in1k	39.755	60.245	59.875	40.125	88.72	288	1.000	bicubic	-45.719	-37.509	-68
233	volo_d3_448.sail_in1k	39.702	60.298	59.760	40.240	86.63	448	1.000	bicubic	-46.800	-37.950	-135
234	efficientnetv2_rw_m.agc_in1k	39.675	60.325	59.679	40.321	53.24	416	1.000	bicubic	-45.135	-37.473	-10
235	xception65.ra3_in1k	39.623	60.377	60.919	39.081	39.92	299	0.940	bicubic	-43.557	-35.673	+153
236	ecaresnet269d.ra2_in1k	39.604	60.396	60.345	39.655	102.09	352	1.000	bicubic	-45.364	-36.877	-24
237	tf_efficientnet_b3.ns_jft_in1k	39.586	60.414	61.475	38.525	12.23	300	0.904	bicubic	-44.466	-35.443	+60
238	caformer_m36.sail_in1k	39.576	60.424	58.692	41.308	56.20	224	1.000	bicubic	-45.656	-38.508	-53
239	convformer_b36.sail_in1k	39.525	60.475	58.081	41.919	99.88	224	1.000	bicubic	-45.293	-38.865	-16
240	caformer_s36.sail_in1k	39.519	60.481	59.760	40.240	39.30	224	1.000	bicubic	-44.987	-37.236	+5
241	volo_d3_224.sail_in1k	39.482	60.518	59.858	40.142	86.33	224	0.960	bicubic	-45.932	-37.418	-70
242	convnext_large.fb_in1k	39.460	60.540	59.188	40.812	197.77	288	1.000	bicubic	-45.386	-38.026	-21
243	deit3_base_patch16_384.fb_in1k	39.409	60.591	58.930	41.070	86.88	384	1.000	bicubic	-45.665	-38.344	-38
244	xcit_small_24_p8_224.fb_dist_in1k	39.327	60.673	59.402	40.598	47.63	224	1.000	bicubic	-45.541	-37.788	-25
245	inception_next_base.sail_in1k	39.295	60.705	59.245	40.755	86.67	224	0.950	bicubic	-44.797	-37.551	+45
246	xcit_medium_24_p16_224.fb_dist_in1k	39.270	60.730	59.461	40.539	84.40	224	1.000	bicubic	-45.016	-37.471	+26
247	convformer_m36.sail_in1k	39.234	60.766	57.631	42.369	57.05	224	1.000	bicubic	-45.260	-39.235	-1
248	coat_lite_medium_384.in1k	39.175	60.825	59.280	40.720	44.57	384	1.000	bicubic	-45.703	-38.092	-30
249	tiny_vit_11m_224.dist_in22k_ft_in1k	39.124	60.876	61.035	38.965	11.00	224	0.950	bicubic	-44.104	-35.595	+135
250	efficientnet_b4.ra2_in1k	39.087	60.913	59.618	40.382	19.34	384	1.000	bicubic	-44.327	-36.980	+115
251	hrnet_w18_ssld.paddle_in1k	39.067	60.933	60.650	39.350	21.30	288	1.000	bilinear	-42.981	-35.600	+275
252	tresnet_v2_l.miil_in21k_ft_in1k	39.010	60.990	59.477	40.523	46.17	224	0.875	bilinear	-44.884	-37.013	+57
253	xcit_small_24_p8_384.fb_dist_in1k	39.010	60.990	59.166	40.834	47.63	384	1.000	bicubic	-46.544	-38.404	-94
254	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	38.979	61.021	62.428	37.572	236.34	384	1.000	bicubic	-44.857	-34.698	+63
255	convformer_b36.sail_in1k_384	38.930	61.070	58.413	41.587	99.88	384	1.000	bicubic	-46.810	-39.111	-105
256	convnext_tiny.in12k_ft_in1k	38.912	61.088	59.862	40.138	28.59	288	1.000	bicubic	-45.538	-37.478	-5
257	maxvit_small_tf_224.in1k	38.871	61.129	59.162	40.838	68.93	224	0.950	bicubic	-45.555	-37.662	+3
258	coatnet_rmlp_2_rw_224.sw_in1k	38.869	61.131	58.018	41.982	73.88	224	0.950	bicubic	-45.739	-38.722	-24
259	vit_base_patch32_384.augreg_in21k_ft_in1k	38.796	61.204	60.329	39.671	88.30	384	1.000	bicubic	-44.556	-36.511	+115
260	tf_efficientnetv2_m.in1k	38.714	61.286	59.791	40.209	54.14	480	1.000	bicubic	-46.490	-37.573	-71
261	efficientvit_b3.r288_in1k	38.659	61.341	58.364	41.636	48.65	288	1.000	bicubic	-45.495	-38.372	+25
262	eca_nfnet_l2.ra3_in1k	38.655	61.345	59.445	40.555	56.72	384	1.000	bicubic	-46.045	-37.821	-32
263	davit_small.msft_in1k	38.631	61.369	58.203	41.797	49.75	224	0.950	bicubic	-45.621	-38.737	+12
264	efficientvit_b3.r256_in1k	38.621	61.379	58.641	41.359	48.65	256	1.000	bicubic	-45.181	-37.875	+59
265	mvitv2_small.fb_in1k	38.578	61.422	58.130	41.870	34.87	224	0.900	bicubic	-45.192	-38.446	+61
266	xcit_small_12_p8_384.fb_dist_in1k	38.547	61.453	58.795	41.205	26.21	384	1.000	bicubic	-46.531	-38.487	-63
267	convformer_m36.sail_in1k_384	38.531	61.469	57.736	42.264	57.05	384	1.000	bicubic	-47.049	-39.806	-109
268	xcit_small_24_p16_384.fb_dist_in1k	38.499	61.501	58.396	41.604	47.67	384	1.000	bicubic	-46.591	-38.916	-67
269	davit_base.msft_in1k	38.490	61.510	57.535	42.465	87.95	224	0.950	bicubic	-46.152	-39.485	-37
270	mvitv2_base.fb_in1k	38.458	61.542	57.934	42.066	51.47	224	0.900	bicubic	-45.992	-38.924	-18
271	rexnetr_300.sw_in12k_ft_in1k	38.431	61.569	60.612	39.388	34.81	288	1.000	bicubic	-46.115	-36.644	-31
272	convformer_s36.sail_in1k	38.405	61.595	57.710	42.290	40.01	224	1.000	bicubic	-45.655	-39.036	+22
273	xcit_small_12_p8_224.fb_dist_in1k	38.360	61.640	58.832	41.168	26.21	224	1.000	bicubic	-45.876	-38.038	+5
274	tf_efficientnet_b5.ra_in1k	38.331	61.669	59.928	40.072	30.39	456	0.934	bicubic	-45.483	-36.823	+46
275	fastvit_ma36.apple_dist_in1k	38.323	61.677	58.461	41.539	44.07	256	0.950	bicubic	-46.275	-38.541	-39
276	deit_base_distilled_patch16_384.fb_in1k	38.244	61.756	57.785	42.215	87.63	384	1.000	bicubic	-47.180	-39.621	-108
277	xcit_large_24_p8_224.fb_in1k	38.106	61.894	57.873	42.127	188.93	224	1.000	bicubic	-46.288	-38.791	-10
278	vit_base_patch16_384.orig_in21k_ft_in1k	38.105	61.895	60.426	39.574	86.86	384	1.000	bicubic	-46.096	-36.792	+4
279	resnetv2_152x2_bit.goog_in21k_ft_in1k	38.000	62.000	61.137	38.863	236.34	448	1.000	bilinear	-46.510	-36.297	-36
280	repvit_m2_3.dist_450e_in1k	37.996	62.004	58.154	41.846	23.69	224	0.950	bicubic	-45.746	-38.490	+51
281	pvt_v2_b4.in1k	37.953	62.047	58.217	41.783	62.56	224	0.900	bicubic	-45.759	-38.453	+55
282	coat_lite_medium.in1k	37.880	62.120	57.792	42.208	44.57	224	0.900	bicubic	-45.719	-38.935	+64
283	cait_s24_384.fb_dist_in1k	37.879	62.121	58.069	41.931	47.06	384	1.000	bicubic	-47.169	-39.277	-77
284	convnextv2_nano.fcmae_ft_in22k_in1k_384	37.875	62.125	59.443	40.557	15.62	384	1.000	bicubic	-45.499	-37.301	+88
285	resnet152d.ra2_in1k	37.853	62.147	58.362	41.638	60.21	320	1.000	bicubic	-45.831	-38.376	+56
286	convformer_s36.sail_in1k_384	37.812	62.188	57.488	42.512	40.01	384	1.000	bicubic	-47.566	-39.988	-112
287	resnetrs420.tf_in1k	37.745	62.255	58.209	41.791	191.89	416	1.000	bicubic	-47.259	-38.915	-78
288	deit3_medium_patch16_224.fb_in1k	37.709	62.291	57.087	42.913	38.85	224	0.900	bicubic	-45.377	-39.207	+114
289	xcit_small_24_p16_224.fb_dist_in1k	37.700	62.300	57.374	42.626	47.67	224	1.000	bicubic	-46.174	-39.362	+23
290	resnetrs350.tf_in1k	37.664	62.336	58.097	41.903	163.96	384	1.000	bicubic	-47.050	-38.895	-63
291	caformer_s18.sail_in1k_384	37.660	62.340	57.612	42.388	26.34	384	1.000	bicubic	-47.366	-39.746	-83
292	regnety_640.seer_ft_in1k	37.584	62.416	59.864	40.136	281.38	384	1.000	bicubic	-46.324	-37.058	+15
293	xcit_small_12_p16_384.fb_dist_in1k	37.582	62.418	57.761	42.239	26.25	384	1.000	bicubic	-47.130	-39.357	-65
294	pvt_v2_b5.in1k	37.548	62.452	57.301	42.699	81.96	224	0.900	bicubic	-46.192	-39.335	+38
295	resnet200d.ra2_in1k	37.503	62.497	58.301	41.699	64.69	320	1.000	bicubic	-46.461	-38.525	+8
296	maxvit_rmlp_tiny_rw_256.sw_in1k	37.381	62.619	57.193	42.807	29.15	256	0.950	bicubic	-46.843	-39.675	-16
297	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	37.342	62.658	59.404	40.596	236.34	224	0.875	bicubic	-45.534	-37.178	+122
298	efficientvit_b3.r224_in1k	37.340	62.660	57.122	42.878	48.65	224	0.950	bicubic	-46.120	-39.208	+62
299	regnety_1280.seer_ft_in1k	37.332	62.668	59.133	40.867	644.81	384	1.000	bicubic	-47.100	-37.959	-42
300	resnest269e.in1k	37.309	62.691	57.488	42.512	110.93	416	0.928	bicubic	-47.199	-39.502	-56
301	convnext_base.fb_in1k	37.307	62.693	57.319	42.681	88.59	288	1.000	bicubic	-47.121	-39.649	-43
302	resmlp_big_24_224.fb_in22k_ft_in1k	37.242	62.758	58.191	41.809	129.14	224	0.875	bicubic	-47.156	-38.921	-36
303	vit_small_r26_s32_224.augreg_in21k_ft_in1k	37.232	62.768	59.072	40.928	36.43	224	0.900	bicubic	-44.632	-36.950	+239
304	repvit_m2_3.dist_300e_in1k	37.210	62.790	57.234	42.766	23.69	224	0.950	bicubic	-46.294	-39.270	+49
305	pit_b_distilled_224.in1k	37.195	62.805	56.507	43.493	74.79	224	0.900	bicubic	-46.571	-39.961	+22
306	cait_s24_224.fb_dist_in1k	37.153	62.847	56.724	43.276	46.92	224	1.000	bicubic	-46.289	-39.850	+56
307	dm_nfnet_f2.dm_in1k	37.128	62.872	56.981	43.019	193.78	352	0.920	bicubic	-48.064	-40.365	-115
308	resnetaa101d.sw_in12k_ft_in1k	37.116	62.884	57.853	42.147	44.57	288	1.000	bicubic	-47.008	-39.253	-20
309	tiny_vit_21m_224.in1k	37.114	62.886	57.380	42.620	21.20	224	0.950	bicubic	-46.140	-39.212	+73
310	efficientformer_l7.snap_dist_in1k	37.112	62.888	56.900	43.100	82.23	224	0.950	bicubic	-46.270	-39.636	+61
311	pvt_v2_b3.in1k	37.108	62.892	57.335	42.665	45.24	224	0.900	bicubic	-46.010	-39.221	+87
312	fastvit_sa36.apple_dist_in1k	37.106	62.894	57.144	42.856	31.53	256	0.900	bicubic	-46.920	-39.710	-13
313	vit_base_patch32_224.augreg_in21k_ft_in1k	37.073	62.927	59.307	40.693	88.22	224	0.900	bicubic	-43.643	-36.259	+347
314	volo_d1_384.sail_in1k	37.069	62.931	57.138	42.862	26.78	384	1.000	bicubic	-48.175	-40.056	-131
315	efficientnetv2_rw_s.ra2_in1k	37.057	62.943	56.814	43.186	23.94	384	1.000	bicubic	-46.749	-39.918	+6
316	tf_efficientnet_b3.ap_in1k	37.051	62.949	57.238	42.762	12.23	300	0.904	bicubic	-44.769	-38.388	+230
317	maxvit_tiny_tf_224.in1k	37.020	62.980	56.904	43.096	30.92	224	0.950	bicubic	-46.382	-39.686	+49
318	swinv2_base_window16_256.ms_in1k	36.990	63.010	56.140	43.860	87.92	256	0.900	bicubic	-47.610	-40.950	-83
319	xcit_small_12_p16_224.fb_dist_in1k	36.975	63.025	56.725	43.275	26.25	224	1.000	bicubic	-46.353	-39.691	+60
320	regnetz_040_h.ra3_in1k	36.973	63.027	57.276	42.724	28.94	320	1.000	bicubic	-47.519	-39.482	-73
321	inception_next_small.sail_in1k	36.914	63.086	56.749	43.251	49.37	224	0.875	bicubic	-46.664	-39.849	+28
322	volo_d1_224.sail_in1k	36.888	63.112	56.635	43.365	26.63	224	0.960	bicubic	-47.274	-40.141	-37
323	seresnet152d.ra2_in1k	36.784	63.216	56.727	43.273	66.84	320	1.000	bicubic	-47.576	-40.313	-55
324	efficientformerv2_l.snap_dist_in1k	36.764	63.236	56.627	43.373	26.32	224	0.950	bicubic	-46.868	-39.931	+20
325	maxxvit_rmlp_small_rw_256.sw_in1k	36.707	63.293	56.012	43.988	66.01	256	0.950	bicubic	-47.917	-41.056	-92
326	seresnext101d_32x8d.ah_in1k	36.633	63.367	56.325	43.675	93.59	288	1.000	bicubic	-47.725	-40.596	-57
327	volo_d2_224.sail_in1k	36.627	63.373	56.470	43.530	58.68	224	0.960	bicubic	-48.575	-40.720	-136
328	caformer_s18.sail_in1k	36.578	63.422	55.831	44.169	26.34	224	1.000	bicubic	-47.076	-40.687	+15
329	xception65p.ra3_in1k	36.570	63.430	56.438	43.562	39.82	299	0.940	bicubic	-46.556	-40.044	+66
330	fastvit_ma36.apple_in1k	36.568	63.432	56.564	43.436	44.07	256	0.950	bicubic	-47.314	-40.178	-19
331	fastvit_sa36.apple_in1k	36.556	63.444	56.004	43.996	31.53	256	0.900	bicubic	-46.944	-40.626	+24
332	seresnextaa101d_32x8d.ah_in1k	36.532	63.468	56.409	43.591	93.59	288	1.000	bicubic	-48.034	-40.667	-95
333	focalnet_base_srf.ms_in1k	36.460	63.540	56.217	43.783	88.15	224	0.900	bicubic	-47.360	-40.464	-14
334	regnetz_d32.ra3_in1k	36.452	63.548	57.366	42.634	27.58	320	0.950	bicubic	-47.570	-39.502	-34
335	cait_xs24_384.fb_dist_in1k	36.416	63.584	56.944	43.056	26.67	384	1.000	bicubic	-47.645	-39.941	-42
336	efficientnet_b3.ra2_in1k	36.414	63.586	56.830	43.170	12.23	320	1.000	bicubic	-45.831	-39.288	+166
337	deit_base_distilled_patch16_224.fb_in1k	36.407	63.593	56.615	43.385	87.34	224	0.900	bicubic	-46.983	-39.873	+32
338	volo_d2_384.sail_in1k	36.407	63.593	56.323	43.677	58.87	384	1.000	bicubic	-49.635	-41.251	-209
339	resnetv2_101x3_bit.goog_in21k_ft_in1k	36.383	63.617	59.068	40.932	387.93	448	1.000	bilinear	-48.055	-38.314	-83
340	gcvit_base.in1k	36.381	63.619	55.880	44.120	90.32	224	0.875	bicubic	-48.063	-41.202	-85
341	dm_nfnet_f1.dm_in1k	36.326	63.674	55.747	44.253	132.63	320	0.910	bicubic	-48.376	-41.435	-112
342	resnetrs270.tf_in1k	36.310	63.690	56.566	43.434	129.86	352	1.000	bicubic	-48.118	-40.402	-83
343	tresnet_m.miil_in21k_ft_in1k	36.289	63.711	55.792	44.208	31.39	224	0.875	bilinear	-46.781	-40.318	+61
344	mixer_b16_224.miil_in21k_ft_in1k	36.267	63.733	55.965	44.035	59.88	224	0.875	bilinear	-46.039	-39.755	+152
345	convnext_small.fb_in1k	36.248	63.752	55.912	44.088	50.22	288	1.000	bicubic	-47.453	-40.896	-7
346	convformer_s18.sail_in1k_384	36.204	63.796	56.059	43.941	26.77	384	1.000	bicubic	-48.198	-41.053	-81
347	deit3_small_patch16_384.fb_in1k	36.193	63.807	55.558	44.442	22.21	384	1.000	bicubic	-47.235	-41.116	+16
348	tf_efficientnet_b2.ns_jft_in1k	36.167	63.833	57.559	42.441	9.11	260	0.890	bicubic	-46.211	-38.695	+133
349	mvitv2_tiny.fb_in1k	36.167	63.833	55.132	44.868	24.17	224	0.900	bicubic	-46.243	-41.020	+129
350	focalnet_base_lrf.ms_in1k	36.118	63.882	55.810	44.190	88.75	224	0.900	bicubic	-47.720	-40.798	-34
351	regnety_320.seer_ft_in1k	36.069	63.931	58.484	41.516	145.05	384	1.000	bicubic	-47.259	-38.224	+27
352	regnetz_040.ra3_in1k	36.053	63.947	55.735	44.265	27.12	320	1.000	bicubic	-48.187	-41.197	-75
353	resnest200e.in1k	35.929	64.071	55.847	44.153	70.20	320	0.909	bicubic	-47.915	-41.037	-39
354	resnet18.fb_swsl_ig1b_ft_in1k	35.874	64.126	58.447	41.553	11.69	224	0.875	bilinear	-37.414	-33.283	+666
355	sequencer2d_l.in1k	35.831	64.169	55.715	44.285	54.30	224	0.875	bicubic	-47.563	-40.781	+13
356	eca_nfnet_l1.ra2_in1k	35.815	64.185	55.953	44.047	41.41	320	1.000	bicubic	-48.197	-41.073	-54
357	gcvit_small.in1k	35.760	64.240	54.790	45.210	51.09	224	0.875	bicubic	-48.132	-41.868	-47
358	vit_base_patch16_224.orig_in21k_ft_in1k	35.754	64.246	57.401	42.599	86.57	224	0.900	bicubic	-46.036	-38.725	+191
359	vit_relpos_medium_patch16_cls_224.sw_in1k	35.725	64.275	54.919	45.081	38.76	224	0.900	bicubic	-46.847	-41.148	+101
360	xcit_small_24_p8_224.fb_in1k	35.556	64.444	54.780	45.220	47.63	224	1.000	bicubic	-48.278	-41.852	-42
361	xcit_small_12_p8_224.fb_in1k	35.522	64.478	55.507	44.493	26.21	224	1.000	bicubic	-47.812	-40.975	+15
362	xcit_large_24_p16_224.fb_in1k	35.522	64.478	54.741	45.259	189.10	224	1.000	bicubic	-47.380	-41.143	+56
363	coat_small.in1k	35.520	64.480	55.157	44.843	21.69	224	0.900	bicubic	-46.842	-41.051	+121
364	flexivit_base.1200ep_in1k	35.519	64.481	53.837	46.163	86.59	240	0.950	bicubic	-49.157	-43.157	-133
365	vit_small_patch16_384.augreg_in21k_ft_in1k	35.467	64.533	57.543	42.457	22.20	384	1.000	bicubic	-48.337	-39.557	-43
366	regnetz_d8_evos.ch_in1k	35.454	64.546	55.751	44.249	23.46	320	1.000	bicubic	-48.672	-41.261	-79
367	xcit_medium_24_p8_224.fb_in1k	35.452	64.548	54.823	45.177	84.32	224	1.000	bicubic	-48.294	-41.887	-37
368	swinv2_base_window8_256.ms_in1k	35.450	64.550	54.607	45.393	87.92	256	0.900	bicubic	-48.800	-42.317	-92
369	swinv2_small_window16_256.ms_in1k	35.428	64.572	54.623	45.377	49.73	256	0.900	bicubic	-48.796	-42.155	-90
370	dm_nfnet_f0.dm_in1k	35.407	64.594	55.525	44.475	71.49	256	0.900	bicubic	-48.080	-41.043	-12
371	resnest101e.in1k	35.373	64.627	55.790	44.210	48.28	256	0.875	bilinear	-47.511	-40.532	+47
372	resnet152.a1h_in1k	35.357	64.643	54.627	45.373	60.19	288	1.000	bicubic	-48.093	-41.911	-11
373	tf_efficientnet_b5.aa_in1k	35.316	64.684	56.038	43.962	30.39	456	0.934	bicubic	-48.372	-40.674	-33
374	convit_base.fb_in1k	35.302	64.698	54.939	45.061	86.54	224	0.875	bicubic	-46.988	-40.997	+123
375	focalnet_small_lrf.ms_in1k	35.277	64.723	54.888	45.112	50.34	224	0.900	bicubic	-48.217	-41.692	-18
376	efficientformer_l3.snap_dist_in1k	35.253	64.747	54.501	45.499	31.41	224	0.950	bicubic	-47.295	-41.749	+88
377	xcit_tiny_24_p8_224.fb_dist_in1k	35.241	64.759	55.267	44.733	12.11	224	1.000	bicubic	-47.325	-40.791	+85
378	edgenext_base.usi_in1k	35.216	64.784	55.126	44.874	18.51	320	1.000	bicubic	-48.742	-41.644	-74
379	fastvit_sa24.apple_dist_in1k	35.214	64.786	54.674	45.326	21.55	256	0.900	bicubic	-48.128	-41.878	-4
380	convformer_s18.sail_in1k	35.208	64.792	54.629	45.371	26.77	224	1.000	bicubic	-47.778	-41.621	+32
381	flexivit_base.600ep_in1k	35.137	64.863	53.652	46.348	86.59	240	0.950	bicubic	-49.387	-43.284	-139
382	twins_svt_large.in1k	35.084	64.916	54.719	45.281	99.27	224	0.900	bicubic	-48.594	-41.869	-40
383	repvgg_b3.rvgg_in1k	35.057	64.943	54.548	45.452	123.09	224	0.875	bilinear	-45.449	-40.706	+294
384	repvgg_b3g4.rvgg_in1k	35.049	64.951	54.788	45.212	83.83	224	0.875	bilinear	-45.167	-40.304	+327
385	convnextv2_tiny.fcmae_ft_in1k	35.045	64.955	54.224	45.776	28.64	288	1.000	bicubic	-48.419	-42.494	-26
386	repvit_m1_5.dist_450e_in1k	35.021	64.979	54.477	45.523	14.64	224	0.950	bicubic	-47.491	-41.635	+82
387	regnetz_d8.ra3_in1k	35.008	64.992	55.930	44.070	23.37	320	1.000	bicubic	-49.044	-41.066	-91
388	xcit_tiny_24_p8_384.fb_dist_in1k	34.915	65.085	55.148	44.852	12.11	384	1.000	bicubic	-48.831	-41.253	-59
389	resnet101d.ra2_in1k	34.876	65.124	54.210	45.790	44.57	320	1.000	bicubic	-48.144	-42.242	+19
390	rexnetr_200.sw_in12k_ft_in1k	34.870	65.130	55.857	44.143	16.52	288	1.000	bicubic	-48.268	-40.779	+2
391	repvit_m1_5.dist_300e_in1k	34.868	65.132	54.375	45.625	14.64	224	0.950	bicubic	-47.508	-41.655	+92
392	coatnet_1_rw_224.sw_in1k	34.850	65.150	53.442	46.558	41.72	224	0.950	bicubic	-48.746	-42.940	-45
393	coatnet_rmlp_1_rw_224.sw_in1k	34.803	65.197	53.953	46.047	41.69	224	0.950	bicubic	-48.559	-42.497	-20
394	swin_s3_base_224.ms_in1k	34.803	65.197	53.703	46.297	71.13	224	0.900	bicubic	-49.117	-42.969	-88
395	flexivit_base.300ep_in1k	34.799	65.201	53.161	46.839	86.59	240	0.950	bicubic	-49.607	-43.723	-131
396	seresnext101_32x8d.ah_in1k	34.789	65.211	53.452	46.548	93.57	288	1.000	bicubic	-49.397	-43.422	-113
397	resmlp_big_24_224.fb_distilled_in1k	34.788	65.213	54.642	45.358	129.14	224	0.875	bicubic	-48.804	-42.008	-49
398	maxvit_tiny_rw_224.sw_in1k	34.780	65.220	53.351	46.649	29.06	224	0.950	bicubic	-48.724	-43.163	-44
399	repvgg_d2se.rvgg_in1k	34.740	65.260	53.200	46.800	133.33	320	1.000	bilinear	-48.820	-43.458	-49
400	vit_relpos_base_patch16_clsgap_224.sw_in1k	34.725	65.275	54.214	45.786	86.43	224	0.900	bicubic	-48.035	-41.958	+29
401	vit_base_patch16_rpn_224.sw_in1k	34.715	65.285	54.658	45.342	86.54	224	0.900	bicubic	-47.487	-41.338	+108
402	sequencer2d_m.in1k	34.703	65.297	53.996	46.004	38.31	224	0.875	bicubic	-48.109	-42.278	+21
403	deit3_small_patch16_224.fb_in1k	34.685	65.315	53.173	46.827	22.06	224	0.900	bicubic	-46.685	-42.283	+188
404	davit_tiny.msft_in1k	34.673	65.326	54.344	45.656	28.36	224	0.950	bicubic	-48.023	-41.930	+33
405	vit_large_patch32_384.orig_in21k_ft_in1k	34.672	65.329	55.733	44.267	306.63	384	1.000	bicubic	-46.839	-40.357	+168
406	focalnet_small_srf.ms_in1k	34.670	65.330	54.420	45.580	49.89	224	0.900	bicubic	-48.746	-42.018	-42
407	ecaresnet101d.miil_in1k	34.644	65.356	54.499	45.501	44.57	288	0.950	bicubic	-48.340	-42.043	+6
408	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	34.615	65.385	55.937	44.063	194.03	224	0.875	bilinear	-47.223	-40.155	+136
409	vit_relpos_base_patch16_224.sw_in1k	34.607	65.393	54.291	45.709	86.43	224	0.900	bicubic	-47.889	-41.847	+61
410	repvgg_b2g4.rvgg_in1k	34.593	65.407	54.768	45.232	61.76	224	0.875	bilinear	-44.789	-39.908	+359
411	gcvit_tiny.in1k	34.554	65.446	53.249	46.751	28.22	224	0.875	bicubic	-48.830	-43.149	-41
412	resnetrs200.tf_in1k	34.502	65.498	54.281	45.719	93.21	320	1.000	bicubic	-49.942	-42.561	-158
413	poolformerv2_m48.sail_in1k	34.485	65.515	54.027	45.973	73.35	224	1.000	bicubic	-48.133	-42.045	+35
414	efficientvit_b2.r256_in1k	34.430	65.570	53.593	46.407	24.33	256	1.000	bicubic	-48.260	-42.501	+24
415	convnextv2_nano.fcmae_ft_in22k_in1k	34.379	65.621	55.014	44.986	15.62	288	1.000	bicubic	-48.285	-41.506	+26
416	resnest50d_4s2x40d.in1k	34.369	65.631	54.725	45.275	30.42	224	0.875	bicubic	-46.751	-40.835	+199
417	resnetrs152.tf_in1k	34.351	65.649	53.564	46.436	86.62	320	1.000	bicubic	-49.351	-43.048	-80
418	pvt_v2_b2_li.in1k	34.318	65.682	54.104	45.896	22.55	224	0.900	bicubic	-47.876	-41.988	+93
419	crossvit_18_dagger_408.in1k	34.247	65.753	53.106	46.894	44.61	408	1.000	bicubic	-49.955	-43.712	-138
420	xcit_medium_24_p16_224.fb_in1k	34.241	65.759	53.157	46.843	84.40	224	1.000	bicubic	-48.399	-42.825	+24
421	efficientvit_b2.r288_in1k	34.224	65.776	53.546	46.454	24.33	288	1.000	bicubic	-48.876	-42.758	-20
422	pit_s_distilled_224.in1k	34.161	65.839	53.361	46.639	24.04	224	0.900	bicubic	-47.653	-42.369	+125
423	efficientnetv2_rw_t.ra2_in1k	34.159	65.841	53.135	46.865	13.65	288	1.000	bicubic	-48.191	-43.057	+65
424	tf_efficientnet_b1.ns_jft_in1k	34.151	65.849	55.503	44.497	7.79	240	0.882	bicubic	-47.237	-40.235	+164
425	twins_pcpvt_large.in1k	34.119	65.881	54.136	45.864	60.99	224	0.900	bicubic	-49.011	-42.468	-31
426	fastvit_sa24.apple_in1k	34.098	65.902	53.782	46.218	21.55	256	0.900	bicubic	-48.580	-42.490	+13
427	tf_efficientnet_b4.aa_in1k	34.058	65.942	54.212	45.788	19.34	380	0.922	bicubic	-48.960	-42.088	-18
428	efficientformerv2_s2.snap_dist_in1k	34.056	65.944	53.473	46.527	12.71	224	0.950	bicubic	-48.109	-42.437	+86
429	resnetv2_101.a1h_in1k	34.056	65.944	52.308	47.692	44.54	288	1.000	bicubic	-48.944	-44.146	-19
430	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	34.033	65.967	55.596	44.404	88.79	224	0.875	bilinear	-47.573	-40.445	+131
431	xcit_small_24_p16_224.fb_in1k	34.005	65.995	53.281	46.719	47.67	224	1.000	bicubic	-48.571	-42.731	+28
432	tf_efficientnet_b6.aa_in1k	34.002	65.999	54.542	45.458	43.04	528	0.942	bicubic	-50.110	-42.342	-144
433	nfnet_l0.ra2_in1k	34.002	65.999	54.377	45.623	35.07	288	1.000	bicubic	-48.748	-42.139	-2
434	efficientnet_b3_pruned.in1k	33.992	66.008	54.110	45.890	9.86	300	0.904	bicubic	-46.860	-41.134	+213
435	regnety_160.deit_in1k	33.980	66.020	53.552	46.448	83.59	288	1.000	bicubic	-49.710	-43.228	-96
436	resnext101_64x4d.tv_in1k	33.966	66.034	52.530	47.470	83.46	224	0.875	bilinear	-49.026	-43.714	-25
437	gc_efficientnetv2_rw_t.agc_in1k	33.962	66.038	53.228	46.772	13.68	288	1.000	bicubic	-48.494	-43.068	+38
438	swinv2_cr_small_ns_224.sw_in1k	33.846	66.154	52.640	47.360	49.70	224	0.900	bicubic	-49.652	-43.844	-82
439	resnext101_64x4d.c1_in1k	33.842	66.158	52.161	47.839	83.46	288	1.000	bicubic	-49.314	-44.213	-48
440	poolformerv2_s36.sail_in1k	33.825	66.175	53.685	46.315	30.79	224	1.000	bicubic	-47.741	-42.005	+124
441	repvit_m3.dist_in1k	33.791	66.209	53.123	46.877	10.68	224	0.950	bicubic	-47.711	-42.444	+133
442	resnet101.a1h_in1k	33.781	66.219	53.104	46.896	44.55	288	1.000	bicubic	-48.997	-43.206	-15
443	xcit_small_12_p16_224.fb_in1k	33.756	66.244	53.228	46.772	26.25	224	1.000	bicubic	-48.214	-42.584	+91
444	swin_s3_small_224.ms_in1k	33.697	66.303	52.365	47.635	49.74	224	0.900	bicubic	-50.059	-44.087	-116
445	resnetv2_50x3_bit.goog_in21k_ft_in1k	33.671	66.329	55.888	44.112	217.32	448	1.000	bilinear	-50.349	-41.238	-144
446	swinv2_small_window8_256.ms_in1k	33.634	66.366	52.827	47.173	49.73	256	0.900	bicubic	-50.220	-43.817	-133
447	resnet152.tv2_in1k	33.622	66.378	51.656	48.344	60.19	224	0.965	bilinear	-48.664	-44.348	+51
448	inception_next_tiny.sail_in1k	33.583	66.417	52.978	47.022	28.06	224	0.875	bicubic	-48.895	-43.044	+25
449	resnet51q.ra2_in1k	33.555	66.445	53.023	46.977	35.70	288	1.000	bilinear	-48.805	-43.163	+37
450	xcit_tiny_24_p16_384.fb_dist_in1k	33.508	66.492	52.768	47.232	12.12	384	1.000	bicubic	-49.062	-43.508	+11
451	vit_relpos_medium_patch16_224.sw_in1k	33.498	66.502	52.620	47.380	38.75	224	0.900	bicubic	-48.964	-43.462	+23
452	regnety_080.ra3_in1k	33.455	66.545	52.939	47.061	39.18	288	1.000	bicubic	-50.471	-43.951	-148
453	cs3edgenet_x.c2_in1k	33.455	66.545	52.925	47.075	47.82	288	1.000	bicubic	-49.253	-43.445	-18
454	convmixer_1536_20.in1k	33.432	66.568	53.029	46.971	51.63	224	0.960	bicubic	-47.930	-42.585	+138
455	sequencer2d_s.in1k	33.430	66.570	52.383	47.617	27.65	224	0.875	bicubic	-48.910	-43.645	+35
456	regnety_032.ra_in1k	33.412	66.588	52.770	47.230	19.44	288	1.000	bicubic	-49.314	-43.646	-24
457	crossvit_18_240.in1k	33.392	66.608	52.245	47.755	43.27	240	0.875	bicubic	-49.008	-43.815	+22
458	vit_srelpos_medium_patch16_224.sw_in1k	33.373	66.627	52.459	47.541	38.74	224	0.900	bicubic	-48.867	-43.483	+45
459	gernet_l.idstcv_in1k	33.371	66.629	51.911	48.089	31.08	256	0.875	bilinear	-47.983	-43.619	+135
460	tf_efficientnetv2_b3.in21k_ft_in1k	33.353	66.647	54.922	45.078	14.36	300	0.900	bicubic	-49.317	-41.705	-20
461	regnetz_c16.ra3_in1k	33.337	66.663	54.242	45.758	13.46	320	1.000	bicubic	-49.295	-42.076	-15
462	crossvit_15_dagger_408.in1k	33.335	66.665	52.200	47.800	28.50	408	1.000	bicubic	-50.505	-44.578	-147
463	tiny_vit_5m_224.dist_in22k_ft_in1k	33.306	66.694	55.028	44.972	5.39	224	0.950	bicubic	-47.570	-40.636	+180
464	crossvit_18_dagger_240.in1k	33.284	66.716	52.190	47.810	44.27	240	0.875	bicubic	-49.234	-43.878	+3
465	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	33.257	66.743	55.295	44.705	28.29	224	0.900	bicubic	-47.711	-40.719	+167
466	wide_resnet101_2.tv2_in1k	33.257	66.743	51.430	48.570	126.89	224	0.965	bilinear	-49.245	-44.586	+3
467	tresnet_xl.miil_in1k	33.251	66.749	52.298	47.702	78.44	224	0.875	bilinear	-48.823	-43.630	+56
468	nest_base_jx.goog_in1k	33.215	66.785	51.825	48.175	67.72	224	0.875	bicubic	-50.319	-44.549	-116
469	convnext_tiny.fb_in1k	33.168	66.832	52.677	47.323	28.59	288	1.000	bicubic	-49.530	-43.955	-33
470	resnest50d_1s4x24d.in1k	33.145	66.855	52.840	47.160	25.68	224	0.875	bicubic	-47.843	-42.485	+159
471	convnext_nano.in12k_ft_in1k	33.119	66.881	53.988	46.012	15.59	288	1.000	bicubic	-49.743	-42.568	-51
472	vit_relpos_medium_patch16_rpn_224.sw_in1k	33.092	66.908	52.363	47.637	38.73	224	0.900	bicubic	-49.218	-43.609	+23
473	resnet61q.ra2_in1k	33.090	66.910	51.746	48.254	36.85	288	1.000	bicubic	-49.434	-44.384	-7
474	maxxvit_rmlp_nano_rw_256.sw_in1k	33.074	66.926	51.852	48.148	16.78	256	0.950	bicubic	-49.968	-44.498	-67
475	nest_small_jx.goog_in1k	33.052	66.948	51.064	48.936	38.35	224	0.875	bicubic	-50.072	-45.256	-79
476	rexnet_300.nav_in1k	33.048	66.952	52.365	47.635	34.71	224	0.875	bicubic	-49.726	-43.873	-48
477	crossvit_base_240.in1k	33.035	66.965	51.390	48.610	105.03	240	0.875	bicubic	-49.179	-44.444	+30
478	poolformerv2_m36.sail_in1k	33.033	66.967	51.860	48.140	56.08	224	1.000	bicubic	-49.183	-44.064	+28
479	twins_pcpvt_base.in1k	33.021	66.979	52.502	47.498	43.83	224	0.900	bicubic	-49.693	-43.844	-46
480	pvt_v2_b2.in1k	33.017	66.983	52.001	47.999	25.36	224	0.900	bicubic	-49.067	-43.955	+42
481	xcit_tiny_24_p16_224.fb_dist_in1k	32.999	67.001	52.074	47.926	12.12	224	1.000	bicubic	-47.455	-43.144	+206
482	resnest50d.in1k	32.966	67.034	52.707	47.293	27.48	224	0.875	bilinear	-47.994	-42.675	+151
483	rexnet_200.nav_in1k	32.962	67.038	52.921	47.079	16.37	224	0.875	bicubic	-48.674	-42.745	+76
484	crossvit_15_dagger_240.in1k	32.925	67.075	51.807	48.193	28.21	240	0.875	bicubic	-49.405	-44.149	+8
485	convit_small.fb_in1k	32.923	67.077	52.115	47.885	27.78	224	0.875	bicubic	-48.497	-43.629	+100
486	tf_efficientnetv2_s.in1k	32.913	67.087	51.728	48.272	21.46	384	1.000	bicubic	-50.985	-44.968	-178
487	swin_base_patch4_window12_384.ms_in1k	32.905	67.095	51.750	48.250	87.90	384	1.000	bicubic	-51.571	-45.142	-237
488	vit_small_patch16_224.augreg_in21k_ft_in1k	32.885	67.115	53.923	46.077	22.05	224	0.900	bicubic	-48.501	-42.213	+101
489	convnext_tiny_hnf.a2h_in1k	32.881	67.119	51.194	48.806	28.59	288	1.000	bicubic	-49.703	-44.814	-33
490	tf_efficientnet_b3.aa_in1k	32.864	67.136	52.964	47.036	12.23	300	0.904	bicubic	-48.776	-42.758	+68
491	pnasnet5large.tf_in1k	32.862	67.138	50.516	49.484	86.06	331	0.911	bicubic	-49.920	-45.524	-65
492	twins_svt_base.in1k	32.832	67.168	51.565	48.435	56.07	224	0.900	bicubic	-50.288	-44.849	-95
493	regnetv_064.ra3_in1k	32.830	67.170	52.864	47.136	30.58	288	1.000	bicubic	-50.886	-43.878	-158
494	convnextv2_nano.fcmae_ft_in1k	32.815	67.185	52.656	47.344	15.62	288	1.000	bicubic	-49.671	-43.570	-23
495	nasnetalarge.tf_in1k	32.781	67.219	50.141	49.859	88.75	331	0.911	bicubic	-49.845	-45.901	-48
496	gernet_m.idstcv_in1k	32.758	67.242	51.899	48.101	21.14	224	0.875	bilinear	-47.978	-43.291	+162
497	inception_resnet_v2.tf_in1k	32.734	67.266	50.640	49.360	55.84	299	0.897	bicubic	-47.724	-44.550	+187
498	resnet152d.gluon_in1k	32.730	67.270	51.080	48.920	60.21	224	0.875	bicubic	-47.746	-44.122	+183
499	repvit_m1_1.dist_450e_in1k	32.726	67.274	52.687	47.313	8.80	224	0.950	bicubic	-48.586	-42.849	+96
500	pit_b_224.in1k	32.722	67.278	49.854	50.146	73.76	224	0.900	bicubic	-49.716	-45.860	-24
501	tf_efficientnet_b2.ap_in1k	32.685	67.315	52.237	47.763	9.11	260	0.890	bicubic	-47.625	-42.789	+199
502	swin_base_patch4_window7_224.ms_in1k	32.644	67.356	51.573	48.427	87.77	224	0.900	bicubic	-50.962	-44.879	-157
503	fbnetv3_g.ra2_in1k	32.624	67.376	52.886	47.114	16.62	288	0.950	bilinear	-49.416	-43.174	+24
504	regnety_320.tv2_in1k	32.616	67.384	50.296	49.704	145.05	224	0.965	bicubic	-50.546	-46.118	-114
505	tresnet_l.miil_in1k	32.561	67.439	51.137	48.863	55.99	224	0.875	bilinear	-48.919	-44.487	+73
506	cait_xxs36_384.fb_dist_in1k	32.553	67.447	52.221	47.779	17.37	384	1.000	bicubic	-49.651	-43.923	+2
507	resnext101_32x8d.tv2_in1k	32.549	67.451	50.164	49.836	88.79	224	0.965	bilinear	-50.283	-46.068	-86
508	regnetz_c16_evos.ch_in1k	32.539	67.461	52.921	47.079	13.49	320	0.950	bicubic	-50.097	-43.553	-63
509	gmlp_s16_224.ra3_in1k	32.420	67.580	51.817	48.183	19.42	224	0.875	bicubic	-47.224	-42.805	+242
510	inception_resnet_v2.tf_ens_adv_in1k	32.368	67.632	50.429	49.571	55.84	299	0.897	bicubic	-47.609	-44.519	+211
511	deit_base_patch16_224.fb_in1k	32.363	67.637	50.991	49.009	86.57	224	0.900	bicubic	-49.629	-44.745	+20
512	maxvit_nano_rw_256.sw_in1k	32.355	67.645	50.622	49.378	15.45	256	0.950	bicubic	-50.573	-45.598	-96
513	swin_small_patch4_window7_224.ms_in1k	32.347	67.653	50.903	49.097	49.61	224	0.900	bicubic	-50.861	-45.413	-127
514	resnet152s.gluon_in1k	32.333	67.667	50.541	49.459	60.32	224	0.875	bicubic	-48.675	-44.875	+114
515	xcit_tiny_24_p8_224.fb_in1k	32.292	67.708	51.895	48.105	12.11	224	1.000	bicubic	-49.600	-44.075	+25
516	deit_small_distilled_patch16_224.fb_in1k	32.270	67.730	52.109	47.891	22.44	224	0.900	bicubic	-48.946	-43.514	+89
517	poolformerv2_s24.sail_in1k	32.266	67.734	51.492	48.508	21.34	224	1.000	bicubic	-48.482	-43.818	+140
518	repvit_m1_1.dist_300e_in1k	32.243	67.757	51.917	48.083	8.80	224	0.950	bicubic	-48.583	-43.253	+132
519	seresnext101_64x4d.gluon_in1k	32.192	67.808	50.313	49.687	88.23	224	0.875	bicubic	-48.702	-44.983	+121
520	regnetx_320.tv2_in1k	32.174	67.826	49.349	50.651	107.81	224	0.965	bicubic	-50.636	-46.859	-96
521	efficientvit_b2.r224_in1k	32.148	67.852	51.001	48.999	24.33	224	0.950	bicubic	-50.000	-44.705	-5
522	seresnext101_32x4d.gluon_in1k	32.121	67.879	51.243	48.757	48.96	224	0.875	bicubic	-48.771	-44.053	+119
523	coat_lite_small.in1k	32.113	67.887	49.928	50.072	19.84	224	0.900	bicubic	-50.199	-45.922	-29
524	flexivit_small.1200ep_in1k	32.095	67.905	50.323	49.677	22.06	240	0.950	bicubic	-50.431	-45.803	-59
525	tiny_vit_11m_224.in1k	32.072	67.928	51.278	48.722	11.00	224	0.950	bicubic	-49.420	-44.584	+50
526	coatnext_nano_rw_224.sw_in1k	32.070	67.930	51.017	48.983	14.70	224	0.900	bicubic	-49.872	-44.899	+11
527	maxxvitv2_nano_rw_256.sw_in1k	32.068	67.932	50.345	49.655	23.70	256	0.950	bicubic	-51.042	-45.979	-128
528	focalnet_tiny_lrf.ms_in1k	32.052	67.948	51.451	48.549	28.65	224	0.900	bicubic	-50.102	-44.497	-13
529	gcvit_xtiny.in1k	32.044	67.956	50.991	49.009	19.98	224	0.875	bicubic	-49.910	-44.975	+7
530	deit_base_patch16_384.fb_in1k	31.991	68.009	50.559	49.441	86.86	384	1.000	bicubic	-51.113	-45.809	-130
531	maxvit_rmlp_nano_rw_256.sw_in1k	31.976	68.025	50.618	49.382	15.50	256	0.950	bicubic	-50.978	-45.648	-117
532	xcit_tiny_12_p8_224.fb_dist_in1k	31.940	68.060	51.402	48.598	6.71	224	1.000	bicubic	-49.272	-44.200	+75
533	coatnet_bn_0_rw_224.sw_in1k	31.905	68.095	51.015	48.985	27.44	224	0.950	bicubic	-50.495	-45.171	-55
534	tf_efficientnet_b7.aa_in1k	31.877	68.123	51.909	48.091	66.35	600	0.949	bicubic	-52.539	-44.999	-271
535	levit_384.fb_dist_in1k	31.875	68.125	50.594	49.406	39.13	224	0.900	bicubic	-50.721	-45.424	-83
536	levit_conv_384.fb_dist_in1k	31.871	68.129	50.596	49.404	39.13	224	0.900	bicubic	-50.719	-45.420	-82
537	resnetrs101.tf_in1k	31.858	68.142	51.023	48.977	63.62	288	0.940	bicubic	-50.426	-44.991	-38
538	cs3se_edgenet_x.c2ns_in1k	31.808	68.192	50.769	49.231	50.72	320	1.000	bicubic	-51.738	-45.901	-187
539	vit_relpos_small_patch16_224.sw_in1k	31.781	68.219	50.620	49.380	21.98	224	0.900	bicubic	-49.681	-45.200	+41
540	convnext_tiny.fb_in22k_ft_in1k	31.667	68.333	51.785	48.215	28.59	288	1.000	bicubic	-47.231	-42.889	+268
541	poolformer_m48.sail_in1k	31.665	68.335	49.800	50.200	73.47	224	0.950	bicubic	-50.817	-46.165	-69
542	flexivit_small.600ep_in1k	31.647	68.353	49.384	50.616	22.06	240	0.950	bicubic	-50.715	-46.700	-57
543	tnt_s_patch16_224	31.634	68.366	51.153	48.847	23.76	224	0.900	bicubic	-49.902	-44.537	+25
544	eca_nfnet_l0.ra2_in1k	31.616	68.384	51.587	48.413	24.14	288	1.000	bicubic	-50.962	-44.905	-86
545	focalnet_tiny_srf.ms_in1k	31.606	68.394	50.864	49.136	28.43	224	0.900	bicubic	-50.532	-45.104	-27
546	resnetv2_50x1_bit.goog_distilled_in1k	31.581	68.419	51.267	48.733	25.55	224	0.875	bicubic	-51.243	-45.252	-124
547	coatnet_rmlp_nano_rw_224.sw_in1k	31.549	68.451	50.178	49.822	15.15	224	0.900	bicubic	-50.501	-45.700	-22
548	mobilevitv2_200.cvnets_in22k_ft_in1k	31.521	68.478	51.777	48.223	18.45	256	0.888	bicubic	-50.810	-44.165	-57
549	wide_resnet50_2.racm_in1k	31.521	68.478	50.388	49.612	68.88	288	0.950	bicubic	-50.758	-45.676	-49
550	xception41p.ra3_in1k	31.504	68.496	50.380	49.620	26.91	299	0.940	bicubic	-50.468	-45.404	-18
551	regnety_064.ra3_in1k	31.463	68.537	50.520	49.480	30.58	288	1.000	bicubic	-52.257	-46.202	-217
552	poolformer_m36.sail_in1k	31.447	68.553	50.017	49.983	56.17	224	0.950	bicubic	-50.655	-45.681	-31
553	flexivit_small.300ep_in1k	31.437	68.563	49.215	50.785	22.06	240	0.950	bicubic	-50.741	-46.823	-41
554	resnet152.a1_in1k	31.433	68.567	48.653	51.347	60.19	288	1.000	bicubic	-51.299	-47.067	-123
555	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	31.429	68.571	52.127	47.873	44.18	224	0.875	bilinear	-49.495	-43.607	+82
556	repvit_m1_0.dist_450e_in1k	31.413	68.587	50.653	49.347	7.30	224	0.950	bicubic	-49.020	-44.265	+132
557	inception_v4.tf_in1k	31.386	68.614	49.235	50.765	42.68	299	0.875	bicubic	-48.770	-45.735	+159
558	rexnet_150.nav_in1k	31.376	68.624	51.284	48.716	9.73	224	0.875	bicubic	-48.948	-43.706	+140
559	efficientformer_l1.snap_dist_in1k	31.341	68.659	50.441	49.559	12.29	224	0.950	bicubic	-49.157	-44.547	+119
560	regnety_032.tv2_in1k	31.341	68.659	50.127	49.873	19.44	224	0.965	bicubic	-50.415	-45.717	-9
561	pit_s_224.in1k	31.339	68.661	49.677	50.323	23.46	224	0.900	bicubic	-49.747	-45.653	+62
562	resnet101.tv2_in1k	31.339	68.661	49.673	50.327	44.55	224	0.965	bilinear	-50.549	-46.095	-21
563	crossvit_15_240.in1k	31.319	68.681	50.182	49.818	27.53	240	0.875	bicubic	-50.217	-45.554	+6
564	swinv2_tiny_window16_256.ms_in1k	31.305	68.695	49.667	50.333	28.35	256	0.900	bicubic	-51.499	-46.569	-139
565	repvit_m1_0.dist_300e_in1k	31.274	68.726	50.801	49.199	7.30	224	0.950	bicubic	-48.852	-43.943	+152
566	cspresnet50.ra_in1k	31.272	68.728	51.225	48.775	21.62	256	0.887	bilinear	-48.310	-43.485	+188
567	cait_xxs36_224.fb_dist_in1k	31.272	68.728	50.614	49.386	17.30	224	1.000	bicubic	-48.474	-44.260	+174
568	crossvit_small_240.in1k	31.270	68.730	50.192	49.808	26.86	240	0.875	bicubic	-49.748	-45.264	+59
569	vit_srelpos_small_patch16_224.sw_in1k	31.260	68.740	50.233	49.767	21.97	224	0.900	bicubic	-49.832	-45.337	+52
570	swinv2_cr_small_224.sw_in1k	31.254	68.746	48.745	51.255	49.70	224	0.900	bicubic	-51.882	-47.363	-177
571	coatnet_0_rw_224.sw_in1k	31.252	68.748	48.633	51.367	27.44	224	0.950	bicubic	-51.138	-47.203	-91
572	swin_s3_tiny_224.ms_in1k	31.248	68.752	49.728	50.272	28.33	224	0.900	bicubic	-50.896	-46.226	-55
573	repvit_m2.dist_in1k	31.239	68.761	50.626	49.374	8.80	224	0.950	bicubic	-49.221	-44.542	+110
574	cspresnext50.ra_in1k	31.227	68.773	50.871	49.129	20.57	256	0.887	bilinear	-49.327	-44.454	+98
575	regnetv_040.ra3_in1k	31.225	68.775	50.115	49.885	20.64	288	1.000	bicubic	-51.965	-46.543	-188
576	convmixer_768_32.in1k	31.219	68.781	50.928	49.072	21.11	224	0.960	bicubic	-48.949	-44.145	+138
577	coat_mini.in1k	31.191	68.809	49.761	50.239	10.34	224	0.900	bicubic	-50.079	-45.621	+23
578	xcit_tiny_12_p8_384.fb_dist_in1k	31.182	68.818	50.508	49.492	6.71	384	1.000	bicubic	-51.206	-45.712	-97
579	fastvit_sa12.apple_dist_in1k	31.138	68.862	49.958	50.042	11.58	256	0.900	bicubic	-50.716	-45.752	-36
580	resnet101s.gluon_in1k	31.107	68.893	49.791	50.209	44.67	224	0.875	bicubic	-49.197	-45.361	+121
581	edgenext_small.usi_in1k	31.101	68.899	50.135	49.865	5.59	320	1.000	bicubic	-50.463	-45.577	-16
582	coatnet_nano_rw_224.sw_in1k	31.099	68.901	49.581	50.419	15.14	224	0.900	bicubic	-50.597	-46.066	-29
583	tf_efficientnet_cc_b0_8e.in1k	31.091	68.909	50.781	49.219	24.01	224	0.875	bicubic	-46.813	-42.881	+302
584	resmlp_36_224.fb_distilled_in1k	31.062	68.938	49.696	50.304	44.69	224	0.875	bicubic	-50.086	-45.782	+29
585	ecaresnet50t.ra2_in1k	31.050	68.950	50.573	49.427	25.57	320	0.950	bicubic	-51.302	-45.567	-98
586	repvit_m0_9.dist_300e_in1k	31.046	68.954	50.681	49.319	5.49	224	0.950	bicubic	-47.612	-43.435	+244
587	resnet152c.gluon_in1k	31.018	68.981	48.936	51.064	60.21	224	0.875	bicubic	-48.894	-45.910	+139
588	cs3sedarknet_x.c2ns_in1k	31.017	68.984	50.131	49.869	35.40	288	1.000	bicubic	-51.642	-46.219	-146
589	cspdarknet53.ra_in1k	31.001	68.999	50.412	49.588	27.64	256	0.887	bilinear	-49.067	-44.666	+130
590	resnext101_64x4d.gluon_in1k	30.993	69.007	48.549	51.451	83.46	224	0.875	bicubic	-49.607	-46.443	+81
591	tresnet_m.miil_in1k	30.987	69.013	48.686	51.314	31.39	224	0.875	bilinear	-49.811	-46.170	+61
592	twins_svt_small.in1k	30.983	69.017	49.219	50.781	24.06	224	0.900	bicubic	-50.693	-46.439	-38
593	regnety_160.tv2_in1k	30.942	69.058	49.060	50.940	83.59	224	0.965	bicubic	-51.704	-47.154	-150
594	gcresnet50t.ra2_in1k	30.936	69.064	50.034	49.966	25.90	288	1.000	bicubic	-50.520	-45.684	-13
595	tf_efficientnet_cc_b1_8e.in1k	30.903	69.097	50.078	49.922	39.72	240	0.882	bicubic	-48.399	-44.296	+183
596	resmlp_24_224.fb_distilled_in1k	30.901	69.099	50.174	49.826	30.02	224	0.875	bicubic	-49.855	-45.050	+60
597	regnety_080_tv.tv2_in1k	30.891	69.109	48.724	51.276	39.38	224	0.965	bicubic	-51.703	-47.524	-144
598	resnext101_32x4d.gluon_in1k	30.891	69.109	48.539	51.461	44.18	224	0.875	bicubic	-49.449	-46.391	+98
599	tf_efficientnetv2_b3.in1k	30.853	69.147	49.808	50.192	14.36	300	0.904	bicubic	-51.119	-45.994	-66
600	repvit_m0_9.dist_450e_in1k	30.846	69.154	50.119	49.881	5.49	224	0.950	bicubic	-48.220	-44.261	+200
601	tf_efficientnet_lite4.in1k	30.830	69.170	50.390	49.610	13.01	380	0.920	bilinear	-50.700	-45.274	-31
602	resnetaa50d.sw_in12k_ft_in1k	30.802	69.198	50.569	49.431	25.58	288	1.000	bicubic	-51.798	-45.929	-151
603	efficientvit_b1.r288_in1k	30.791	69.210	50.009	49.991	9.10	288	1.000	bicubic	-49.533	-45.167	+96
604	nf_resnet50.ra2_in1k	30.698	69.302	49.944	50.056	25.56	288	0.940	bicubic	-49.942	-45.390	+63
605	poolformer_s36.sail_in1k	30.690	69.310	49.445	50.555	30.86	224	0.900	bicubic	-50.740	-45.999	-22
606	xcit_tiny_24_p16_224.fb_in1k	30.671	69.329	50.416	49.584	12.12	224	1.000	bicubic	-48.777	-44.462	+158
607	resnet50.a1h_in1k	30.631	69.369	49.415	50.585	25.56	224	1.000	bicubic	-50.047	-45.891	+56
608	dpn107.mx_in1k	30.625	69.374	48.739	51.261	86.92	224	0.875	bicubic	-49.544	-46.203	+105
609	tresnet_xl.miil_in1k_448	30.622	69.379	49.077	50.923	78.44	448	0.875	bilinear	-52.437	-47.095	-204
610	resnet152.gluon_in1k	30.614	69.386	48.515	51.485	60.19	224	0.875	bicubic	-49.082	-46.215	+135
611	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	30.602	69.398	50.667	49.333	25.03	224	0.875	bilinear	-49.732	-44.733	+86
612	haloregnetz_b.ra3_in1k	30.594	69.406	48.987	51.013	11.68	224	0.940	bicubic	-50.452	-46.213	+13
613	pit_xs_distilled_224.in1k	30.543	69.457	50.180	49.820	11.00	224	0.900	bicubic	-48.637	-44.186	+177
614	regnetx_080.tv2_in1k	30.521	69.479	48.030	51.970	39.57	224	0.965	bicubic	-51.019	-47.512	-47
615	resnet101d.gluon_in1k	30.506	69.494	47.973	52.027	44.57	224	0.875	bicubic	-49.920	-47.051	+74
616	resnest26d.gluon_in1k	30.490	69.510	50.663	49.337	17.07	224	0.875	bilinear	-47.992	-43.631	+223
617	mobilevitv2_200.cvnets_in22k_ft_in1k_384	30.490	69.510	50.575	49.425	18.45	384	1.000	bicubic	-52.910	-46.007	-249
618	resnet50.ram_in1k	30.451	69.549	48.997	51.003	25.56	288	0.950	bicubic	-49.525	-46.055	+104
619	efficientformerv2_s1.snap_dist_in1k	30.445	69.555	49.582	50.418	6.19	224	0.950	bicubic	-49.247	-45.134	+127
620	efficientnet_b2.ra_in1k	30.427	69.573	49.688	50.312	9.11	288	1.000	bicubic	-50.183	-45.625	+49
621	tf_efficientnet_b1.ap_in1k	30.423	69.577	49.555	50.445	7.79	240	0.882	bicubic	-48.853	-44.757	+158
622	cs3darknet_x.c2ns_in1k	30.409	69.591	49.197	50.803	35.05	288	1.000	bicubic	-51.813	-47.033	-117
623	xcit_tiny_12_p16_384.fb_dist_in1k	30.403	69.597	50.131	49.869	6.72	384	1.000	bicubic	-50.535	-45.283	+12
624	twins_pcpvt_small.in1k	30.396	69.604	49.384	50.616	24.11	224	0.900	bicubic	-50.696	-46.264	-4
625	ecaresnetlight.miil_in1k	30.382	69.618	49.146	50.854	30.16	288	0.950	bicubic	-51.026	-46.670	-39
626	resnet50d.ra2_in1k	30.376	69.624	48.794	51.206	25.58	288	0.950	bicubic	-50.980	-46.944	-33
627	ecaresnet101d_pruned.miil_in1k	30.356	69.644	48.810	51.190	24.88	288	0.950	bicubic	-51.642	-47.350	-97
628	visformer_small.in1k	30.339	69.661	48.285	51.715	40.22	224	0.900	bicubic	-51.767	-47.593	-108
629	resnet101.a1_in1k	30.297	69.703	46.584	53.416	44.55	288	1.000	bicubic	-52.025	-49.048	-136
630	tf_efficientnet_b5.in1k	30.295	69.705	49.753	50.247	30.39	456	0.934	bicubic	-52.881	-46.783	-241
631	regnety_040.ra3_in1k	30.266	69.734	48.930	51.070	20.65	288	1.000	bicubic	-52.778	-47.572	-225
632	regnetx_160.tv2_in1k	30.217	69.783	47.055	52.945	54.28	224	0.965	bicubic	-52.349	-49.117	-169
633	mobilevitv2_175.cvnets_in22k_ft_in1k	30.209	69.791	49.056	50.944	14.25	256	0.888	bicubic	-51.729	-46.734	-95
634	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	30.201	69.799	48.688	51.312	119.42	256	0.900	bicubic	-49.283	-45.450	+127
635	resnet50.b1k_in1k	30.197	69.803	49.187	50.813	25.56	288	1.000	bicubic	-50.509	-46.245	+26
636	fastvit_s12.apple_dist_in1k	30.187	69.813	48.962	51.038	9.47	256	0.900	bicubic	-50.883	-46.323	-12
637	seresnext50_32x4d.racm_in1k	30.168	69.832	49.093	50.907	27.56	288	0.950	bicubic	-52.028	-47.055	-127
638	resnet50.b2k_in1k	30.152	69.848	48.244	51.756	25.56	288	1.000	bicubic	-50.302	-47.074	+48
639	regnety_016.tv2_in1k	30.138	69.862	49.231	50.769	11.20	224	0.965	bicubic	-50.528	-46.099	+26
640	wide_resnet50_2.tv2_in1k	30.116	69.883	48.362	51.638	68.88	224	0.965	bilinear	-51.489	-47.398	-78
641	dpn68b.ra_in1k	30.109	69.891	48.164	51.836	12.61	288	1.000	bicubic	-49.251	-46.272	+130
642	convmixer_1024_20_ks9_p14.in1k	30.093	69.907	49.934	50.066	24.38	224	0.960	bicubic	-46.843	-43.416	+294
643	efficientnet_el.ra_in1k	30.028	69.972	48.849	51.151	10.59	300	0.904	bicubic	-51.284	-46.640	-47
644	tf_efficientnet_b2.aa_in1k	30.012	69.988	49.590	50.410	9.11	260	0.890	bicubic	-50.072	-45.316	+74
645	xcit_tiny_12_p16_224.fb_dist_in1k	30.010	69.990	49.651	50.349	6.72	224	1.000	bicubic	-48.564	-44.547	+186
646	legacy_senet154.in1k	29.993	70.007	48.038	51.962	115.09	224	0.875	bilinear	-51.319	-47.522	-49
647	halo2botnet50ts_256.a1h_in1k	29.987	70.013	48.380	51.620	22.64	256	0.950	bicubic	-52.073	-47.254	-123
648	dpn98.mx_in1k	29.981	70.019	48.146	51.854	61.57	224	0.875	bicubic	-49.689	-46.508	+102
649	mobilevitv2_150.cvnets_in22k_ft_in1k	29.971	70.029	49.217	50.783	10.59	256	0.888	bicubic	-51.517	-46.451	-73
650	resnetv2_50d_gn.ah_in1k	29.957	70.043	48.195	51.805	25.57	288	1.000	bicubic	-52.001	-47.733	-115
651	dpn92.mx_in1k	29.946	70.054	49.113	50.887	37.67	224	0.875	bicubic	-50.092	-45.747	+69
652	resnext50_32x4d.a1h_in1k	29.942	70.058	48.234	51.766	25.03	288	1.000	bicubic	-52.072	-47.700	-124
653	convnextv2_pico.fcmae_ft_in1k	29.940	70.060	48.853	51.147	9.07	288	0.950	bicubic	-51.146	-46.627	-31
654	dpn131.mx_in1k	29.934	70.066	48.034	51.966	79.25	224	0.875	bicubic	-49.880	-46.666	+82
655	resnetv2_101x1_bit.goog_in21k_ft_in1k	29.898	70.102	51.109	48.891	44.54	448	1.000	bilinear	-52.444	-45.411	-166
656	senet154.gluon_in1k	29.887	70.113	47.879	52.121	115.09	224	0.875	bicubic	-51.339	-47.479	-54
657	tf_efficientnet_b4.in1k	29.861	70.139	49.014	50.986	19.34	380	0.922	bicubic	-52.747	-46.737	-208
658	legacy_xception.tf_in1k	29.855	70.145	48.684	51.316	22.86	299	0.897	bicubic	-49.185	-45.698	+143
659	resnet50.tv2_in1k	29.837	70.162	48.012	51.988	25.56	224	0.965	bilinear	-51.011	-47.422	-11
660	cs3sedarknet_l.c2ns_in1k	29.832	70.168	49.009	50.991	21.91	288	0.950	bicubic	-51.952	-46.955	-110
661	resnet152.a2_in1k	29.826	70.174	45.961	54.039	60.19	288	1.000	bicubic	-52.782	-50.167	-211
662	efficientvit_b1.r224_in1k	29.822	70.178	48.289	51.711	9.10	224	0.950	bicubic	-49.430	-46.015	+122
663	inception_v3.tf_adv_in1k	29.818	70.182	47.843	52.157	23.83	299	0.875	bicubic	-47.774	-45.887	+236
664	vit_base_patch16_384.augreg_in1k	29.792	70.208	48.327	51.673	86.86	384	1.000	bicubic	-51.310	-46.793	-46
665	resnetaa50.a1h_in1k	29.790	70.210	48.014	51.986	25.56	288	1.000	bicubic	-51.824	-47.788	-105
666	lamhalobotnet50ts_256.a1h_in1k	29.755	70.245	48.335	51.665	22.57	256	0.950	bicubic	-51.797	-47.157	-100
667	fbnetv3_d.ra2_in1k	29.739	70.261	49.472	50.528	10.31	256	0.950	bilinear	-49.943	-45.472	+81
668	ese_vovnet39b.ra_in1k	29.733	70.267	49.046	50.954	24.57	288	0.950	bicubic	-50.617	-46.320	+26
669	fastvit_sa12.apple_in1k	29.731	70.269	48.610	51.390	11.58	256	0.900	bicubic	-51.113	-46.730	-20
670	resmlp_36_224.fb_in1k	29.698	70.302	48.958	51.042	44.69	224	0.875	bicubic	-50.074	-45.926	+69
671	fastvit_t12.apple_dist_in1k	29.686	70.314	48.517	51.483	7.55	256	0.900	bicubic	-50.666	-46.525	+22
672	convnext_nano.d1h_in1k	29.684	70.316	47.920	52.080	15.59	288	1.000	bicubic	-51.798	-47.738	-95
673	resnet50.c1_in1k	29.672	70.328	48.458	51.542	25.56	288	1.000	bicubic	-51.240	-47.094	-35
674	vit_base_patch32_384.augreg_in1k	29.645	70.355	48.987	51.013	88.30	384	1.000	bicubic	-49.111	-45.239	+146
675	efficientvit_b1.r256_in1k	29.621	70.379	48.209	51.791	9.10	256	1.000	bicubic	-50.113	-46.571	+66
676	ecaresnet50d.miil_in1k	29.562	70.438	48.967	51.033	25.58	288	0.950	bicubic	-52.088	-46.915	-119
677	nest_tiny_jx.goog_in1k	29.558	70.442	46.983	53.017	17.06	224	0.875	bicubic	-51.868	-48.635	-93
678	resnet152.a3_in1k	29.525	70.475	47.038	52.962	60.19	224	0.950	bicubic	-51.021	-47.962	-5
679	gcresnext50ts.ch_in1k	29.517	70.483	47.851	52.149	15.67	288	1.000	bicubic	-51.713	-47.691	-78
680	resnext50_32x4d.tv2_in1k	29.480	70.520	47.232	52.768	25.03	224	0.965	bilinear	-51.702	-48.108	-72
681	cs3darknet_l.c2ns_in1k	29.466	70.534	48.234	51.766	21.16	288	0.950	bicubic	-51.430	-47.428	-42
682	efficientnet_em.ra2_in1k	29.464	70.536	48.922	51.078	6.90	240	0.882	bicubic	-49.780	-45.872	+103
683	resnext101_32x8d.tv_in1k	29.437	70.563	48.488	51.512	88.79	224	0.875	bilinear	-49.873	-46.032	+92
684	resnet50.fb_ssl_yfcc100m_ft_in1k	29.435	70.565	49.791	50.209	25.56	224	0.875	bilinear	-49.795	-45.035	+101
685	coat_lite_mini.in1k	29.435	70.565	47.718	52.282	11.01	224	0.900	bicubic	-49.667	-46.890	+111
686	resnetv2_50.a1h_in1k	29.435	70.565	47.441	52.559	25.55	288	1.000	bicubic	-51.963	-48.285	-99
687	deit_small_patch16_224.fb_in1k	29.425	70.575	48.250	51.750	22.05	224	0.900	bicubic	-50.423	-46.794	+45
688	sebotnet33ts_256.a1h_in1k	29.423	70.577	47.160	52.840	13.70	256	0.940	bicubic	-51.745	-48.009	-78
689	nf_regnet_b1.ra2_in1k	29.411	70.589	49.427	50.573	10.22	288	0.900	bicubic	-49.897	-45.313	+87
690	repvit_m1.dist_in1k	29.407	70.593	48.541	51.459	5.49	224	0.950	bicubic	-49.131	-45.529	+144
691	mobileone_s4.apple_in1k	29.405	70.595	47.967	52.033	14.95	224	0.900	bilinear	-50.021	-46.513	+76
692	cait_xxs24_384.fb_dist_in1k	29.391	70.609	48.751	51.249	12.03	384	1.000	bicubic	-51.581	-46.889	-62
693	resnetv2_50d_evos.ah_in1k	29.382	70.618	47.226	52.774	25.59	288	1.000	bicubic	-52.620	-48.674	-164
694	edgenext_small_rw.sw_in1k	29.346	70.654	48.722	51.278	7.83	320	1.000	bicubic	-51.112	-46.586	-9
695	convnext_nano_ols.d1h_in1k	29.325	70.675	47.478	52.522	15.65	288	1.000	bicubic	-52.275	-48.158	-132
696	regnetz_b16.ra3_in1k	29.321	70.679	47.885	52.115	9.72	288	1.000	bicubic	-51.407	-47.633	-37
697	swin_tiny_patch4_window7_224.ms_in1k	29.321	70.679	47.609	52.391	28.29	224	0.900	bicubic	-52.055	-47.934	-107
698	cait_xxs24_224.fb_dist_in1k	29.295	70.705	48.537	51.463	11.96	224	1.000	bicubic	-49.089	-45.779	+153
699	eca_resnet33ts.ra2_in1k	29.277	70.723	48.928	51.072	19.68	288	1.000	bicubic	-51.395	-46.436	-35
700	resnet50.d_in1k	29.250	70.750	47.213	52.787	25.56	288	1.000	bicubic	-51.722	-48.217	-69
701	resnet50.c2_in1k	29.244	70.756	47.165	52.835	25.56	288	1.000	bicubic	-51.626	-48.369	-56
702	pvt_v2_b1.in1k	29.242	70.758	48.962	51.038	14.01	224	0.900	bicubic	-49.462	-45.540	+124
703	maxvit_rmlp_pico_rw_256.sw_in1k	29.238	70.762	47.719	52.281	7.52	256	0.950	bicubic	-51.276	-47.495	-28
704	gcvit_xxtiny.in1k	29.218	70.781	48.348	51.652	12.00	224	0.875	bicubic	-50.508	-46.732	+38
705	poolformer_s24.sail_in1k	29.205	70.795	48.079	51.921	21.39	224	0.900	bicubic	-51.089	-46.995	-1
706	tresnet_l.miil_in1k_448	29.162	70.838	47.224	52.776	55.99	448	0.875	bilinear	-53.114	-48.754	-205
707	seresnet50.ra2_in1k	29.146	70.854	47.749	52.251	28.09	288	0.950	bicubic	-52.138	-47.903	-108
708	inception_v3.gluon_in1k	29.112	70.888	46.943	53.057	23.83	299	0.875	bicubic	-49.690	-47.433	+108
709	lambda_resnet50ts.a1h_in1k	29.108	70.891	46.961	53.039	21.54	256	0.950	bicubic	-52.050	-48.137	-97
710	resnet101.a2_in1k	29.091	70.909	45.762	54.238	44.55	288	1.000	bicubic	-53.145	-49.968	-206
711	xception71.tf_in1k	29.030	70.970	47.391	52.609	42.34	299	0.903	bicubic	-50.844	-47.537	+17
712	resnet34d.ra2_in1k	29.020	70.980	48.052	51.948	21.82	288	0.950	bicubic	-49.416	-46.292	+133
713	hrnet_w64.ms_in1k	28.987	71.013	47.138	52.862	128.06	224	0.875	bilinear	-50.489	-47.514	+49
714	xcit_tiny_12_p8_224.fb_in1k	28.979	71.021	47.501	52.499	6.71	224	1.000	bicubic	-50.709	-47.553	+33
715	regnetx_032.tv2_in1k	28.975	71.025	47.069	52.931	15.30	224	0.965	bicubic	-51.951	-48.209	-79
716	cs3darknet_focus_l.c2ns_in1k	28.939	71.061	47.639	52.361	21.15	288	0.950	bicubic	-51.937	-48.043	-74
717	tf_efficientnet_b0.ns_jft_in1k	28.902	71.098	49.007	50.993	5.29	224	0.875	bicubic	-49.766	-45.365	+110
718	xception65.tf_in1k	28.894	71.106	47.154	52.846	39.92	299	0.903	bicubic	-50.662	-47.504	+38
719	tf_efficientnet_b1.aa_in1k	28.886	71.114	47.523	52.477	7.79	240	0.882	bicubic	-49.942	-46.677	+94
720	vit_small_patch32_384.augreg_in21k_ft_in1k	28.875	71.125	48.889	51.111	22.92	384	1.000	bicubic	-51.611	-46.711	-41
721	mobilevitv2_150.cvnets_in22k_ft_in1k_384	28.871	71.129	47.932	52.068	10.59	384	1.000	bicubic	-53.715	-48.382	-266
722	resnet101.gluon_in1k	28.853	71.147	46.381	53.619	44.55	224	0.875	bicubic	-50.457	-48.141	+52
723	skresnext50_32x4d.ra_in1k	28.810	71.190	46.507	53.493	27.48	224	0.875	bicubic	-51.354	-48.133	-8
724	sehalonet33ts.ra2_in1k	28.780	71.220	46.574	53.426	13.69	256	0.940	bicubic	-52.178	-48.698	-90
725	levit_256.fb_dist_in1k	28.743	71.257	46.729	53.271	18.89	224	0.900	bicubic	-52.781	-48.765	-154
726	levit_conv_256.fb_dist_in1k	28.739	71.261	46.723	53.277	18.89	224	0.900	bicubic	-52.783	-48.767	-154
727	resnet50.ra_in1k	28.694	71.306	47.366	52.634	25.56	288	0.950	bicubic	-51.142	-47.600	+8
728	mobileone_s3.apple_in1k	28.676	71.324	47.582	52.418	10.17	224	0.900	bilinear	-49.316	-46.332	+151
729	resnetblur50.bt_in1k	28.662	71.338	46.908	53.092	25.56	288	0.950	bicubic	-51.572	-48.326	-20
730	tf_efficientnet_lite3.in1k	28.651	71.349	47.360	52.640	8.20	300	0.904	bilinear	-51.155	-47.554	+8
731	darknetaa53.c2ns_in1k	28.647	71.353	46.949	53.051	36.02	288	1.000	bilinear	-51.859	-48.373	-55
732	hrnet_w40.ms_in1k	28.645	71.355	47.452	52.548	57.56	224	0.875	bilinear	-50.287	-47.012	+74
733	skresnet34.ra_in1k	28.631	71.369	47.961	52.039	22.28	224	0.875	bicubic	-48.279	-45.183	+205
734	swinv2_tiny_window8_256.ms_in1k	28.627	71.373	46.189	53.811	28.35	256	0.900	bicubic	-53.193	-49.805	-189
735	seresnext50_32x4d.gluon_in1k	28.619	71.381	46.438	53.562	27.56	224	0.875	bicubic	-51.305	-48.386	-11
736	mobilevitv2_175.cvnets_in22k_ft_in1k_384	28.598	71.403	47.118	52.882	14.25	384	1.000	bicubic	-54.341	-49.308	-321
737	tf_efficientnet_b3.in1k	28.582	71.418	47.981	52.019	12.23	300	0.904	bicubic	-52.292	-47.319	-93
738	halonet50ts.a1h_in1k	28.580	71.420	46.183	53.817	22.73	256	0.940	bicubic	-53.082	-49.427	-183
739	tf_efficientnetv2_b0.in1k	28.570	71.430	47.077	52.923	7.14	224	0.875	bicubic	-49.788	-46.937	+114
740	poolformerv2_s12.sail_in1k	28.556	71.444	47.399	52.601	11.89	224	1.000	bicubic	-49.446	-46.465	+137
741	resnet152.tv_in1k	28.543	71.457	47.106	52.894	60.19	224	0.875	bilinear	-49.779	-46.940	+114
742	xcit_tiny_12_p16_224.fb_in1k	28.515	71.485	47.403	52.597	6.72	224	1.000	bicubic	-48.625	-46.313	+184
743	eva02_tiny_patch14_336.mim_in22k_ft_in1k	28.507	71.493	47.539	52.461	5.76	336	1.000	bicubic	-52.123	-47.987	-75
744	ecaresnet50t.a1_in1k	28.456	71.544	45.576	54.424	25.57	288	1.000	bicubic	-53.672	-50.066	-225
745	repvgg_b2.rvgg_in1k	28.421	71.579	47.044	52.956	89.02	224	0.875	bilinear	-50.371	-47.376	+73
746	hrnet_w48.ms_in1k	28.409	71.591	47.576	52.424	77.47	224	0.875	bilinear	-50.897	-46.940	+31
747	swinv2_cr_tiny_ns_224.sw_in1k	28.379	71.621	45.902	54.098	28.33	224	0.900	bicubic	-53.423	-49.916	-199
748	resnext50_32x4d.gluon_in1k	28.372	71.628	45.332	54.668	25.03	224	0.875	bicubic	-50.988	-49.098	+24
749	efficientnet_b2_pruned.in1k	28.360	71.640	47.057	52.943	8.31	260	0.890	bicubic	-51.560	-47.795	-24
750	tf_efficientnet_b0.ap_in1k	28.354	71.646	47.535	52.465	5.29	224	0.875	bicubic	-48.736	-45.727	+178
751	darknet53.c2ns_in1k	28.328	71.672	46.880	53.120	41.61	288	1.000	bicubic	-52.204	-48.552	-77
752	dla169.in1k	28.320	71.680	47.388	52.612	53.39	224	0.875	bilinear	-50.388	-46.956	+73
753	tf_efficientnet_cc_b0_4e.in1k	28.313	71.687	47.360	52.640	13.31	224	0.875	bicubic	-48.989	-45.976	+162
754	dla102x2.in1k	28.313	71.687	46.774	53.226	41.28	224	0.875	bilinear	-51.133	-47.858	+12
755	resnext50_32x4d.ra_in1k	28.303	71.697	46.081	53.919	25.03	288	0.950	bicubic	-52.395	-49.311	-93
756	mixnet_xl.ra_in1k	28.291	71.709	46.708	53.292	11.90	224	0.875	bicubic	-52.191	-48.229	-76
757	seresnet33ts.ra2_in1k	28.236	71.764	47.578	52.422	19.78	288	1.000	bicubic	-52.548	-47.784	-103
758	resnet50d.gluon_in1k	28.234	71.766	45.880	54.120	25.58	224	0.875	bicubic	-50.844	-48.586	+39
759	resnet50.a1_in1k	28.220	71.780	44.937	55.063	25.56	288	1.000	bicubic	-52.994	-50.165	-153
760	fastvit_s12.apple_in1k	28.126	71.874	46.649	53.351	9.47	256	0.900	bicubic	-51.816	-48.145	-37
761	densenet161.tv_in1k	28.108	71.892	46.653	53.347	28.68	224	0.875	bicubic	-49.250	-46.989	+151
762	resnet101c.gluon_in1k	28.104	71.896	45.953	54.047	44.57	224	0.875	bicubic	-51.434	-48.631	-4
763	resnet34.a1_in1k	28.100	71.900	45.707	54.293	21.80	288	1.000	bicubic	-49.818	-48.057	+121
764	wide_resnet101_2.tv_in1k	28.095	71.906	46.426	53.574	126.89	224	0.875	bilinear	-50.748	-47.855	+48
765	regnetx_320.pycls_in1k	28.079	71.921	45.118	54.882	107.81	224	0.875	bicubic	-52.167	-49.904	-58
766	regnety_320.pycls_in1k	28.075	71.925	45.460	54.540	145.05	224	0.875	bicubic	-52.735	-49.778	-115
767	resnext50_32x4d.a1_in1k	28.075	71.925	44.815	55.185	25.03	288	1.000	bicubic	-53.391	-50.359	-188
768	gernet_s.idstcv_in1k	28.051	71.949	46.727	53.273	8.17	224	0.875	bilinear	-48.859	-46.589	+171
769	ecaresnet50d_pruned.miil_in1k	28.043	71.957	47.038	52.962	19.94	288	0.950	bicubic	-52.747	-48.532	-116
770	levit_conv_192.fb_dist_in1k	28.032	71.968	45.874	54.126	10.95	224	0.900	bicubic	-51.806	-48.904	-37
771	mobilevitv2_175.cvnets_in1k	28.028	71.972	46.098	53.902	14.25	256	0.888	bicubic	-52.832	-49.158	-126
772	levit_192.fb_dist_in1k	28.028	71.972	45.870	54.130	10.95	224	0.900	bicubic	-51.810	-48.914	-37
773	efficientnet_el_pruned.in1k	28.004	71.996	46.804	53.196	10.59	300	0.904	bicubic	-52.294	-48.418	-71
774	vit_base_patch16_224.augreg_in1k	27.971	72.029	45.737	54.263	86.57	224	0.900	bicubic	-51.183	-48.353	+18
775	fastvit_t12.apple_in1k	27.935	72.065	46.393	53.607	7.55	256	0.900	bicubic	-51.329	-48.169	+7
776	resnet101.a3_in1k	27.925	72.075	45.014	54.986	44.55	224	0.950	bicubic	-51.888	-49.600	-39
777	resnet50_gn.a1h_in1k	27.916	72.084	46.075	53.925	25.56	288	0.950	bicubic	-53.300	-49.309	-173
778	xception41.tf_in1k	27.880	72.120	45.888	54.112	26.97	299	0.903	bicubic	-50.624	-48.388	+58
779	regnetx_160.pycls_in1k	27.827	72.173	45.631	54.369	54.28	224	0.875	bicubic	-52.039	-49.197	-49
780	dpn68b.mx_in1k	27.814	72.186	47.415	52.585	12.61	224	0.875	bicubic	-49.704	-46.437	+123
781	resnet50d.a1_in1k	27.790	72.210	44.377	55.623	25.58	288	1.000	bicubic	-53.660	-50.841	-199
782	inception_v3.tf_in1k	27.780	72.220	45.727	54.273	23.83	299	0.875	bicubic	-50.076	-48.139	+106
783	res2net101_26w_4s.in1k	27.778	72.222	45.159	54.841	45.21	224	0.875	bilinear	-51.422	-49.277	+5
784	tf_efficientnetv2_b1.in1k	27.745	72.255	46.580	53.420	8.14	240	0.882	bicubic	-51.715	-48.142	-21
785	repghostnet_200.in1k	27.719	72.281	46.322	53.678	9.80	224	0.875	bicubic	-51.087	-48.008	+30
786	vit_base_patch16_224.sam_in1k	27.703	72.297	45.100	54.900	86.57	224	0.900	bicubic	-52.535	-49.656	-78
787	fbnetv3_b.ra2_in1k	27.670	72.330	46.987	53.013	8.60	256	0.950	bilinear	-51.476	-47.757	+6
788	regnety_160.pycls_in1k	27.641	72.359	45.531	54.469	83.59	224	0.875	bicubic	-52.657	-49.433	-85
789	mobilevitv2_200.cvnets_in1k	27.637	72.363	45.784	54.216	18.45	256	0.888	bicubic	-53.497	-49.578	-175
790	repvgg_b1.rvgg_in1k	27.631	72.369	46.533	53.467	57.42	224	0.875	bilinear	-50.737	-47.563	+62
791	hrnet_w44.ms_in1k	27.627	72.373	45.837	54.163	67.06	224	0.875	bilinear	-51.267	-48.527	+18
792	resnet50.am_in1k	27.574	72.426	45.369	54.631	25.56	224	0.875	bicubic	-51.428	-49.029	+10
793	inception_v3.tv_in1k	27.556	72.444	45.265	54.735	23.83	299	0.875	bicubic	-49.878	-48.209	+116
794	resmlp_24_224.fb_in1k	27.517	72.483	45.690	54.310	30.02	224	0.875	bicubic	-51.857	-48.856	-24
795	pit_xs_224.in1k	27.485	72.515	45.910	54.090	10.62	224	0.900	bicubic	-50.691	-48.252	+69
796	tiny_vit_5m_224.in1k	27.483	72.517	45.855	54.145	5.39	224	0.950	bicubic	-51.687	-48.939	-5
797	gcresnet33ts.ra2_in1k	27.401	72.599	46.155	53.845	19.88	288	1.000	bicubic	-53.199	-49.167	-127
798	regnetx_080.pycls_in1k	27.397	72.603	45.012	54.988	39.57	224	0.875	bicubic	-51.801	-49.542	-9
799	hrnet_w30.ms_in1k	27.389	72.611	46.554	53.446	37.71	224	0.875	bilinear	-50.807	-47.668	+63
800	hrnet_w32.ms_in1k	27.381	72.619	46.006	53.994	41.23	224	0.875	bilinear	-51.061	-48.184	+43
801	convnext_pico.d1_in1k	27.358	72.642	45.660	54.340	9.05	288	0.950	bicubic	-53.058	-49.388	-111
802	vit_small_patch16_384.augreg_in1k	27.328	72.672	46.118	53.882	22.20	384	1.000	bicubic	-53.788	-49.456	-186
803	resnet50s.gluon_in1k	27.324	72.676	45.214	54.786	25.68	224	0.875	bicubic	-51.390	-49.028	+21
804	res2net50_26w_8s.in1k	27.306	72.694	44.815	55.185	48.40	224	0.875	bilinear	-51.635	-49.479	+1
805	convnext_pico_ols.d1_in1k	27.297	72.703	45.644	54.356	9.06	288	1.000	bicubic	-53.165	-49.608	-123
806	densenet201.tv_in1k	27.271	72.729	46.210	53.790	20.01	224	0.875	bicubic	-50.015	-47.270	+111
807	resnet33ts.ra2_in1k	27.257	72.743	45.183	54.817	19.68	288	1.000	bicubic	-52.469	-49.645	-64
808	ecaresnet50t.a2_in1k	27.246	72.754	44.047	55.953	25.57	288	1.000	bicubic	-54.412	-51.503	-252
809	regnety_064.pycls_in1k	27.238	72.762	44.866	55.134	30.58	224	0.875	bicubic	-52.478	-49.900	-65
810	ghostnetv2_160.in1k	27.232	72.768	46.366	53.634	12.39	224	0.875	bicubic	-50.600	-47.574	+79
811	efficientnet_b1_pruned.in1k	27.196	72.804	45.861	54.139	6.33	240	0.882	bicubic	-51.044	-47.973	+49
812	tf_efficientnetv2_b2.in1k	27.163	72.837	44.568	55.432	10.10	260	0.890	bicubic	-53.033	-50.474	-100
813	vit_base_patch32_224.augreg_in1k	27.140	72.861	45.175	54.825	88.22	224	0.900	bicubic	-47.755	-46.603	+178
814	seresnet50.a1_in1k	27.124	72.876	43.563	56.437	28.09	288	1.000	bicubic	-53.978	-51.765	-195
815	resnet50d.a2_in1k	27.120	72.880	43.811	56.189	25.58	288	1.000	bicubic	-54.044	-51.269	-204
816	resnetrs50.tf_in1k	27.098	72.902	45.027	54.973	35.69	224	0.910	bicubic	-52.796	-49.947	-89
817	rexnet_130.nav_in1k	27.081	72.919	45.957	54.043	7.56	224	0.875	bicubic	-52.425	-48.721	-58
818	gmixer_24_224.ra3_in1k	27.031	72.969	44.353	55.647	24.72	224	0.875	bicubic	-50.995	-49.315	+56
819	dla102x.in1k	27.022	72.978	45.505	54.495	26.31	224	0.875	bilinear	-51.490	-48.731	+16
820	resnet101.tv_in1k	26.963	73.037	45.234	54.766	44.55	224	0.875	bilinear	-50.417	-48.312	+91
821	regnetx_120.pycls_in1k	26.866	73.134	44.688	55.312	46.11	224	0.875	bicubic	-52.722	-50.055	-67
822	resnet32ts.ra2_in1k	26.849	73.151	45.041	54.959	17.96	288	1.000	bicubic	-52.539	-49.611	-54
823	rexnet_100.nav_in1k	26.841	73.159	45.379	54.621	4.80	224	0.875	bicubic	-51.015	-48.261	+64
824	legacy_seresnext101_32x4d.in1k	26.821	73.179	43.505	56.495	48.96	224	0.875	bilinear	-53.411	-51.515	-114
825	densenet169.tv_in1k	26.819	73.181	45.381	54.619	14.15	224	0.875	bicubic	-49.081	-47.647	+142
826	tinynet_a.in1k	26.815	73.185	45.082	54.918	6.19	192	0.875	bicubic	-50.833	-48.458	+69
827	regnetx_064.pycls_in1k	26.803	73.197	44.913	55.087	26.21	224	0.875	bicubic	-52.263	-49.547	-28
828	regnety_120.pycls_in1k	26.780	73.220	44.442	55.558	51.82	224	0.875	bicubic	-53.600	-50.684	-137
829	regnetx_032.pycls_in1k	26.717	73.283	45.230	54.770	15.30	224	0.875	bicubic	-51.451	-48.852	+36
830	res2net101d.in1k	26.711	73.289	44.336	55.664	45.23	224	0.875	bilinear	-54.507	-51.014	-227
831	resnext50_32x4d.a2_in1k	26.682	73.318	42.768	57.232	25.03	288	1.000	bicubic	-54.622	-52.328	-233
832	efficientvit_m5.r224_in1k	26.674	73.326	44.923	55.077	12.47	224	0.875	bicubic	-50.384	-48.261	+98
833	legacy_seresnet152.in1k	26.666	73.334	43.949	56.051	66.82	224	0.875	bilinear	-51.994	-50.421	-4
834	efficientnet_es.ra_in1k	26.619	73.381	45.096	54.904	5.44	224	0.875	bicubic	-51.439	-48.830	+38
835	res2net50_26w_6s.in1k	26.591	73.409	44.004	55.996	37.05	224	0.875	bilinear	-51.977	-50.118	-3
836	repvgg_b1g4.rvgg_in1k	26.579	73.421	45.100	54.900	39.97	224	0.875	bilinear	-51.009	-48.736	+64
837	dla60x.in1k	26.566	73.434	45.031	54.969	17.35	224	0.875	bilinear	-51.670	-48.995	+24
838	coat_lite_tiny.in1k	26.517	73.484	44.646	55.354	5.72	224	0.900	bicubic	-51.003	-49.276	+64
839	regnety_080.pycls_in1k	26.515	73.485	44.351	55.649	39.18	224	0.875	bicubic	-53.353	-50.481	-110
840	mobilenetv3_large_100.miil_in21k_ft_in1k	26.493	73.507	44.491	55.509	5.48	224	0.875	bilinear	-51.427	-48.423	+43
841	tf_efficientnet_b0.aa_in1k	26.483	73.517	45.642	54.358	5.29	224	0.875	bicubic	-50.361	-47.576	+99
842	res2net50_14w_8s.in1k	26.477	73.523	44.371	55.629	25.06	224	0.875	bilinear	-51.681	-49.475	+25
843	tf_efficientnet_b2.in1k	26.462	73.538	44.788	55.212	9.11	260	0.890	bicubic	-53.147	-49.926	-90
844	mobileone_s2.apple_in1k	26.456	73.544	44.566	55.434	7.88	224	0.900	bilinear	-51.060	-49.102	+60
845	resnet50.gluon_in1k	26.428	73.572	44.039	55.961	25.56	224	0.875	bicubic	-51.154	-49.681	+56
846	ecaresnet50t.a3_in1k	26.420	73.580	43.507	56.493	25.57	224	0.950	bicubic	-53.132	-51.188	-89
847	tf_efficientnet_el.in1k	26.353	73.647	44.173	55.827	10.59	300	0.904	bicubic	-53.895	-50.947	-141
848	levit_conv_128.fb_dist_in1k	26.330	73.670	44.120	55.880	9.21	224	0.900	bicubic	-52.164	-49.888	-11
849	levit_128.fb_dist_in1k	26.328	73.672	44.116	55.884	9.21	224	0.900	bicubic	-52.162	-49.896	-10
850	lambda_resnet26t.c1_in1k	26.326	73.674	44.430	55.570	10.96	256	0.940	bicubic	-52.762	-50.160	-54
851	resmlp_big_24_224.fb_in1k	26.318	73.682	43.554	56.446	129.14	224	0.875	bicubic	-54.718	-51.464	-225
852	resmlp_12_224.fb_distilled_in1k	26.316	73.684	44.874	55.126	15.35	224	0.875	bicubic	-51.638	-48.686	+29
853	visformer_tiny.in1k	26.257	73.743	44.182	55.818	10.32	224	0.900	bicubic	-51.903	-49.984	+13
854	regnetx_040.pycls_in1k	26.243	73.757	44.424	55.576	22.12	224	0.875	bicubic	-52.249	-49.818	-16
855	mobilevitv2_150.cvnets_in1k	26.178	73.822	43.762	56.238	10.59	256	0.888	bicubic	-54.192	-51.312	-163
856	crossvit_9_dagger_240.in1k	26.177	73.823	44.542	55.458	8.78	240	0.875	bicubic	-50.801	-49.076	+78
857	vit_small_patch32_224.augreg_in21k_ft_in1k	26.165	73.835	45.106	54.894	22.88	224	0.900	bicubic	-49.829	-47.694	+105
858	seresnet50.a2_in1k	26.165	73.835	42.675	57.325	28.09	288	1.000	bicubic	-54.941	-52.547	-240
859	densenetblur121d.ra_in1k	26.135	73.865	45.037	54.963	8.00	288	0.950	bicubic	-51.187	-48.751	+54
860	resnet50.a2_in1k	26.094	73.906	42.583	57.417	25.56	288	1.000	bicubic	-54.678	-52.405	-205
861	resnet50d.a3_in1k	26.090	73.910	42.970	57.030	25.58	224	0.950	bicubic	-52.630	-51.262	-39
862	resnext50_32x4d.a3_in1k	26.082	73.918	42.946	57.054	25.03	224	0.950	bicubic	-53.186	-51.360	-81
863	resnet34.a2_in1k	26.080	73.920	43.109	56.891	21.80	288	1.000	bicubic	-51.078	-50.165	+62
864	efficientnet_b1.ft_in1k	26.055	73.945	44.080	55.920	7.79	256	1.000	bicubic	-52.745	-50.262	-47
865	convnextv2_femto.fcmae_ft_in1k	26.039	73.961	44.302	55.698	5.23	288	0.950	bicubic	-53.299	-50.258	-92
866	fastvit_t8.apple_dist_in1k	26.033	73.967	44.397	55.603	4.03	256	0.900	bicubic	-51.143	-48.901	+57
867	lambda_resnet26rpt_256.c1_in1k	26.033	73.967	44.190	55.810	10.99	256	0.940	bicubic	-52.931	-50.246	-63
868	mobilevitv2_125.cvnets_in1k	26.021	73.979	43.668	56.332	7.48	256	0.888	bicubic	-53.659	-51.190	-119
869	dpn68.mx_in1k	26.006	73.994	44.084	55.916	12.61	224	0.875	bicubic	-50.340	-48.924	+88
870	hrnet_w18.ms_in1k	25.982	74.018	44.803	55.197	21.30	224	0.875	bilinear	-50.770	-48.641	+72
871	hardcorenas_f.miil_green_in1k	25.939	74.061	44.204	55.796	8.20	224	0.875	bilinear	-52.157	-49.598	-1
872	vit_small_patch16_224.augreg_in1k	25.935	74.065	43.964	56.036	22.05	224	0.900	bicubic	-52.913	-50.324	-61
873	repghostnet_150.in1k	25.923	74.077	44.328	55.672	6.58	224	0.875	bicubic	-51.537	-49.182	+34
874	regnety_040.pycls_in1k	25.909	74.091	43.854	56.146	20.65	224	0.875	bicubic	-53.311	-50.802	-87
875	hrnet_w18_small_v2.gluon_in1k	25.884	74.116	43.815	56.185	15.60	224	0.875	bicubic	-52.306	-50.087	-12
876	regnetx_016.tv2_in1k	25.878	74.122	43.353	56.647	9.19	224	0.965	bicubic	-53.558	-51.415	-110
877	fastvit_t8.apple_in1k	25.876	74.124	44.153	55.847	4.03	256	0.900	bicubic	-50.298	-48.899	+83
878	resnext50d_32x4d.bt_in1k	25.876	74.124	42.956	57.044	25.05	288	0.950	bicubic	-54.788	-52.464	-212
879	res2net50_26w_4s.in1k	25.872	74.128	43.163	56.837	25.70	224	0.875	bilinear	-52.078	-50.689	+3
880	tresnet_m.miil_in1k_448	25.860	74.140	42.868	57.132	31.39	448	0.875	bilinear	-55.850	-52.706	-328
881	coat_tiny.in1k	25.858	74.142	43.275	56.725	5.50	224	0.900	bicubic	-52.568	-50.773	-35
882	hardcorenas_c.miil_green_in1k	25.821	74.179	44.764	55.236	5.52	224	0.875	bilinear	-51.245	-48.398	+47
883	densenet121.ra_in1k	25.815	74.185	44.866	55.134	7.98	288	0.950	bicubic	-50.685	-48.502	+69
884	resnet50c.gluon_in1k	25.793	74.207	43.019	56.981	25.58	224	0.875	bicubic	-52.213	-50.973	-8
885	halonet26t.a1h_in1k	25.776	74.224	43.220	56.780	12.48	256	0.950	bicubic	-53.330	-51.086	-91
886	selecsls60.in1k	25.729	74.272	44.065	55.935	30.67	224	0.875	bicubic	-52.260	-49.765	-6
887	hardcorenas_e.miil_green_in1k	25.658	74.342	43.408	56.592	8.07	224	0.875	bilinear	-52.132	-50.292	+4
888	poolformer_s12.sail_in1k	25.654	74.346	44.167	55.833	11.92	224	0.900	bicubic	-51.586	-49.365	+31
889	dla60_res2next.in1k	25.654	74.346	43.675	56.325	17.03	224	0.875	bilinear	-52.786	-50.469	-44
890	dla60_res2net.in1k	25.648	74.352	43.583	56.417	20.85	224	0.875	bilinear	-52.816	-50.615	-48
891	ecaresnet26t.ra2_in1k	25.538	74.462	43.660	56.340	16.01	320	0.950	bicubic	-54.312	-51.430	-160
892	resmlp_12_224.fb_in1k	25.528	74.472	44.330	55.670	15.35	224	0.875	bicubic	-51.120	-48.848	+51
893	mixnet_l.ft_in1k	25.520	74.480	43.471	56.529	7.33	224	0.875	bicubic	-53.446	-50.711	-90
894	convnext_femto.d1_in1k	25.510	74.490	43.672	56.328	5.22	288	0.950	bicubic	-53.206	-50.759	-71
895	tf_efficientnet_lite1.in1k	25.509	74.492	43.573	56.427	5.42	240	0.882	bicubic	-51.136	-49.651	+49
896	res2net50d.in1k	25.497	74.503	43.041	56.959	25.72	224	0.875	bilinear	-54.757	-51.995	-191
897	cs3darknet_focus_m.c2ns_in1k	25.493	74.507	43.762	56.238	9.30	288	0.950	bicubic	-51.791	-50.204	+21
898	resnext50_32x4d.tv_in1k	25.467	74.533	42.787	57.213	25.03	224	0.875	bilinear	-52.155	-50.909	0
899	bat_resnext26ts.ch_in1k	25.455	74.545	43.194	56.806	10.73	256	0.900	bicubic	-52.797	-50.904	-41
900	botnet26t_256.c1_in1k	25.451	74.549	42.660	57.340	12.49	256	0.950	bicubic	-53.806	-51.872	-117
901	eca_halonext26ts.c1_in1k	25.442	74.558	43.182	56.818	10.76	256	0.940	bicubic	-54.044	-51.418	-141
902	repvgg_a2.rvgg_in1k	25.436	74.564	43.945	56.055	28.21	224	0.875	bilinear	-51.022	-49.057	+52
903	tf_mixnet_l.in1k	25.414	74.586	42.538	57.462	7.33	224	0.875	bicubic	-53.362	-51.464	-84
904	regnety_008_tv.tv2_in1k	25.406	74.594	43.434	56.566	6.43	224	0.965	bicubic	-53.260	-50.956	-76
905	hardcorenas_b.miil_green_in1k	25.396	74.603	44.188	55.812	5.18	224	0.875	bilinear	-51.151	-48.574	+42
906	res2next50.in1k	25.392	74.608	42.492	57.508	24.67	224	0.875	bilinear	-52.850	-51.399	-47
907	convnext_femto_ols.d1_in1k	25.387	74.613	43.137	56.863	5.23	288	0.950	bicubic	-53.537	-51.389	-100
908	efficientformerv2_s0.snap_dist_in1k	25.349	74.651	43.929	56.071	3.60	224	0.950	bicubic	-50.765	-48.929	+54
909	legacy_seresnet101.in1k	25.332	74.668	42.832	57.168	49.33	224	0.875	bilinear	-53.054	-51.430	-59
910	selecsls60b.in1k	25.326	74.674	43.556	56.444	32.77	224	0.875	bicubic	-53.086	-50.612	-62
911	hardcorenas_d.miil_green_in1k	25.326	74.674	43.137	56.863	7.50	224	0.875	bilinear	-52.108	-50.353	-2
912	resnetv2_50x1_bit.goog_in21k_ft_in1k	25.322	74.678	45.348	54.652	25.55	448	1.000	bilinear	-55.020	-50.334	-217
913	regnety_032.pycls_in1k	25.318	74.682	42.923	57.077	19.44	224	0.875	bicubic	-53.558	-51.485	-103
914	wide_resnet50_2.tv_in1k	25.310	74.690	42.182	57.818	68.88	224	0.875	bilinear	-53.166	-51.906	-73
915	dla102.in1k	25.294	74.706	43.846	56.154	33.27	224	0.875	bilinear	-52.730	-50.088	-40
916	resnest14d.gluon_in1k	25.280	74.719	44.106	55.894	10.61	224	0.875	bilinear	-50.227	-48.402	+60
917	legacy_seresnext50_32x4d.in1k	25.212	74.788	41.950	58.050	27.56	224	0.875	bilinear	-53.864	-52.482	-119
918	ghostnetv2_130.in1k	25.149	74.851	43.271	56.729	8.96	224	0.875	bicubic	-51.607	-50.091	+23
919	mixer_b16_224.goog_in21k_ft_in1k	25.111	74.888	41.225	58.775	59.88	224	0.875	bicubic	-51.491	-50.999	+26
920	res2net50_48w_2s.in1k	25.025	74.975	42.206	57.794	25.29	224	0.875	bilinear	-52.489	-51.344	-15
921	efficientnet_b0.ra_in1k	25.015	74.985	42.797	57.203	5.29	224	0.875	bicubic	-52.679	-50.735	-27
922	resnet50.a3_in1k	25.000	75.001	41.889	58.111	25.56	224	0.950	bicubic	-53.049	-51.891	-49
923	dla60.in1k	24.937	75.063	43.322	56.678	22.04	224	0.875	bilinear	-52.109	-49.996	+8
924	resnet34.gluon_in1k	24.937	75.063	42.237	57.763	21.80	224	0.875	bicubic	-49.643	-49.745	+75
925	mobilenetv2_120d.ra_in1k	24.915	75.085	43.039	56.961	5.83	224	0.875	bicubic	-52.393	-50.463	-11
926	convnextv2_atto.fcmae_ft_in1k	24.890	75.111	42.469	57.531	3.71	288	0.950	bicubic	-52.871	-51.257	-34
927	eca_botnext26ts_256.c1_in1k	24.868	75.132	42.943	57.057	10.59	256	0.950	bicubic	-54.400	-51.663	-147
928	resnet34.bt_in1k	24.828	75.171	42.080	57.920	21.80	288	0.950	bicubic	-51.652	-51.274	+25
929	regnety_016.pycls_in1k	24.823	75.177	42.610	57.390	11.20	224	0.875	bicubic	-53.045	-51.108	-43
930	xcit_nano_12_p8_224.fb_dist_in1k	24.801	75.199	43.072	56.928	3.05	224	1.000	bicubic	-51.531	-50.026	+28
931	seresnet50.a3_in1k	24.793	75.207	42.094	57.906	28.09	224	0.950	bicubic	-52.233	-50.978	+1
932	pit_ti_distilled_224.in1k	24.711	75.289	43.225	56.775	5.10	224	0.900	bicubic	-49.545	-48.727	+71
933	cs3darknet_m.c2ns_in1k	24.626	75.374	42.970	57.030	9.31	288	0.950	bicubic	-53.008	-51.046	-36
934	eca_resnext26ts.ch_in1k	24.559	75.441	42.536	57.464	10.30	288	1.000	bicubic	-53.441	-51.390	-56
935	resnet50.bt_in1k	24.559	75.441	41.445	58.555	25.56	288	0.950	bicubic	-55.081	-53.447	-183
936	mobilevitv2_100.cvnets_in1k	24.553	75.447	42.919	57.081	4.90	256	0.888	bicubic	-53.527	-51.251	-65
937	tf_efficientnet_lite2.in1k	24.532	75.468	42.290	57.710	6.09	260	0.890	bicubic	-52.930	-51.462	-31
938	seresnext26ts.ch_in1k	24.506	75.494	42.665	57.335	10.39	288	1.000	bicubic	-53.764	-51.427	-81
939	skresnet18.ra_in1k	24.497	75.504	42.534	57.466	11.96	224	0.875	bicubic	-48.538	-48.638	+84
940	regnetx_016.pycls_in1k	24.477	75.523	42.490	57.510	9.19	224	0.875	bicubic	-52.447	-50.925	-3
941	tf_efficientnet_lite0.in1k	24.373	75.627	42.510	57.490	4.65	224	0.875	bicubic	-50.459	-49.660	+51
942	hardcorenas_a.miil_green_in1k	24.367	75.633	43.316	56.684	5.26	224	0.875	bilinear	-51.571	-49.192	+24
943	hrnet_w18.ms_aug_in1k	24.341	75.659	42.897	57.103	21.30	224	0.950	bilinear	-53.781	-51.157	-74
944	efficientvit_m4.r224_in1k	24.286	75.714	41.758	58.242	8.80	224	0.875	bicubic	-50.082	-50.222	+58
945	gcresnext26ts.ch_in1k	24.154	75.846	41.306	58.694	10.48	288	1.000	bicubic	-54.260	-52.730	-97
946	resnet50.tv_in1k	24.096	75.904	41.323	58.677	25.56	224	0.875	bilinear	-52.032	-51.535	+15
947	tf_efficientnet_b1.in1k	24.070	75.930	41.512	58.488	7.79	240	0.882	bicubic	-54.492	-52.582	-114
948	levit_128s.fb_dist_in1k	24.060	75.940	41.001	58.999	7.78	224	0.900	bicubic	-52.466	-51.871	+1
949	levit_conv_128s.fb_dist_in1k	24.052	75.948	41.003	58.997	7.78	224	0.900	bicubic	-52.468	-51.863	+1
950	legacy_seresnet34.in1k	24.021	75.979	41.901	58.099	21.96	224	0.875	bilinear	-50.781	-50.225	+43
951	xcit_nano_12_p16_384.fb_dist_in1k	24.005	75.995	42.306	57.694	3.05	384	1.000	bicubic	-51.453	-50.392	+28
952	xcit_nano_12_p8_384.fb_dist_in1k	23.956	76.044	41.954	58.046	3.05	384	1.000	bicubic	-53.864	-52.086	-62
953	efficientnet_lite0.ra_in1k	23.905	76.095	42.109	57.891	4.65	224	0.875	bicubic	-51.577	-50.411	+24
954	repghostnet_130.in1k	23.852	76.148	41.569	58.431	5.48	224	0.875	bicubic	-52.524	-51.323	+1
955	densenet121.tv_in1k	23.840	76.160	41.928	58.072	7.98	224	0.875	bicubic	-50.924	-50.225	+39
956	efficientnet_es_pruned.in1k	23.815	76.185	41.991	58.009	5.44	224	0.875	bicubic	-51.191	-50.453	+33
957	regnetx_008.tv2_in1k	23.779	76.221	40.698	59.302	7.26	224	0.965	bicubic	-53.527	-52.966	-42
958	mixnet_m.ft_in1k	23.716	76.284	41.146	58.854	5.01	224	0.875	bicubic	-53.544	-52.272	-39
959	resnet26t.ra2_in1k	23.712	76.288	41.321	58.679	16.01	320	1.000	bicubic	-54.616	-52.803	-105
960	mobilenetv2_140.ra_in1k	23.695	76.305	41.469	58.531	6.11	224	0.875	bicubic	-52.821	-51.519	-9
961	dla34.in1k	23.685	76.315	41.538	58.462	15.74	224	0.875	bilinear	-50.955	-50.529	+35
962	legacy_seresnet50.in1k	23.640	76.360	40.079	59.921	28.09	224	0.875	bilinear	-54.004	-53.679	-66
963	convnext_atto.d2_in1k	23.589	76.411	41.087	58.913	3.70	288	0.950	bicubic	-53.419	-52.614	-30
964	resnext26ts.ra2_in1k	23.589	76.411	40.891	59.109	10.30	288	1.000	bicubic	-53.589	-52.573	-42
965	tf_mixnet_m.in1k	23.484	76.516	40.997	59.003	5.01	224	0.875	bicubic	-53.470	-52.157	-30
966	resnet34.tv_in1k	23.473	76.527	41.361	58.639	21.80	224	0.875	bilinear	-49.833	-50.059	+53
967	efficientvit_m3.r224_in1k	23.412	76.588	40.531	59.469	6.90	224	0.875	bicubic	-49.962	-50.817	+49
968	selecsls42b.in1k	23.369	76.632	40.681	59.319	32.46	224	0.875	bicubic	-53.802	-52.711	-44
969	tf_efficientnet_em.in1k	23.369	76.632	40.398	59.602	6.90	240	0.882	bicubic	-54.758	-53.650	-101
970	resnet34.a3_in1k	23.366	76.633	40.068	59.932	21.80	224	0.950	bicubic	-49.603	-51.038	+55
971	repvgg_b0.rvgg_in1k	23.319	76.681	41.164	58.836	15.82	224	0.875	bilinear	-51.825	-51.252	+12
972	regnety_004.tv2_in1k	23.292	76.708	40.987	59.013	4.34	224	0.965	bicubic	-52.302	-51.713	+2
973	xcit_nano_12_p16_224.fb_dist_in1k	23.249	76.751	41.368	58.632	3.05	224	1.000	bicubic	-49.061	-49.492	+61
974	convnext_atto_ols.a2_in1k	23.129	76.871	40.881	59.119	3.70	288	0.950	bicubic	-54.087	-52.795	-53
975	mobilenetv2_110d.ra_in1k	23.070	76.930	40.749	59.251	4.52	224	0.875	bicubic	-51.984	-51.434	+12
976	resnet18.a1_in1k	23.056	76.944	39.551	60.449	11.69	288	1.000	bicubic	-50.102	-51.475	+45
977	vit_base_patch32_224.sam_in1k	23.046	76.954	39.565	60.435	88.22	224	0.900	bicubic	-50.648	-51.449	+37
978	tinynet_b.in1k	23.017	76.983	40.979	59.021	3.73	188	0.875	bicubic	-51.961	-51.207	+12
979	resnet18d.ra2_in1k	23.001	76.999	41.197	58.803	11.71	288	0.950	bicubic	-50.793	-50.640	+34
980	repghostnet_111.in1k	22.881	77.119	40.439	59.561	4.54	224	0.875	bicubic	-52.175	-51.753	+6
981	mobileone_s1.apple_in1k	22.803	77.197	39.851	60.149	4.83	224	0.900	bilinear	-52.983	-52.941	-13
982	deit_tiny_distilled_patch16_224.fb_in1k	22.722	77.278	40.777	59.223	5.91	224	0.900	bicubic	-51.782	-51.113	+18
983	mobilenetv3_large_100.ra_in1k	22.657	77.343	40.763	59.237	5.48	224	0.875	bicubic	-53.109	-51.775	-14
984	repvgg_a1.rvgg_in1k	22.640	77.361	39.869	60.131	14.09	224	0.875	bilinear	-51.823	-51.987	+17
985	mobilenetv3_rw.rmsp_in1k	22.630	77.370	40.362	59.638	5.48	224	0.875	bicubic	-52.990	-52.342	-13
986	ghostnetv2_100.in1k	22.604	77.396	40.022	59.978	6.16	224	0.875	bicubic	-52.562	-52.332	-4
987	edgenext_x_small.in1k	22.590	77.410	39.500	60.500	2.34	288	1.000	bicubic	-53.098	-53.266	-17
988	tf_mobilenetv3_large_100.in1k	22.579	77.421	39.777	60.223	5.48	224	0.875	bilinear	-52.937	-52.817	-13
989	tf_efficientnet_b0.in1k	22.559	77.441	39.570	60.430	5.29	224	0.875	bicubic	-53.971	-53.438	-41
990	mobilevit_s.cvnets_in1k	22.478	77.522	38.657	61.343	5.58	256	0.900	bicubic	-55.834	-55.491	-134
991	xcit_nano_12_p8_224.fb_in1k	22.408	77.592	40.626	59.374	3.05	224	1.000	bicubic	-51.502	-51.542	+20
992	tf_efficientnet_es.in1k	22.406	77.594	39.089	60.911	5.44	224	0.875	bicubic	-54.192	-54.113	-46
993	hrnet_w18_small_v2.ms_in1k	22.341	77.659	39.857	60.143	15.60	224	0.875	bilinear	-52.769	-52.559	-8
994	convit_tiny.fb_in1k	22.268	77.732	39.675	60.325	5.71	224	0.875	bicubic	-50.844	-52.037	+28
995	regnetx_004_tv.tv2_in1k	22.213	77.787	39.126	60.874	5.50	224	0.965	bicubic	-52.387	-53.044	+3
996	regnety_008.pycls_in1k	22.109	77.891	38.902	61.098	6.26	224	0.875	bicubic	-54.193	-54.160	-37
997	ese_vovnet19b_dw.ra_in1k	22.072	77.928	39.464	60.536	6.54	288	0.950	bicubic	-55.672	-54.320	-104
998	regnety_006.pycls_in1k	21.981	78.019	38.959	61.041	6.06	224	0.875	bicubic	-53.287	-53.567	-17
999	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	21.948	78.052	39.405	60.595	6.36	384	1.000	bicubic	-54.012	-53.857	-35
1000	regnetx_008.pycls_in1k	21.948	78.052	38.928	61.072	7.26	224	0.875	bicubic	-53.080	-53.410	-11
1001	semnasnet_100.rmsp_in1k	21.889	78.111	38.604	61.396	3.89	224	0.875	bicubic	-53.561	-53.994	-21
1002	pit_ti_224.in1k	21.871	78.129	39.537	60.463	4.85	224	0.900	bicubic	-51.039	-51.867	+25
1003	pvt_v2_b0.in1k	21.836	78.164	40.152	59.848	3.67	224	0.900	bicubic	-48.824	-50.044	+48
1004	regnetx_006.pycls_in1k	21.747	78.253	38.914	61.086	6.20	224	0.875	bicubic	-52.121	-52.764	+8
1005	vit_tiny_patch16_384.augreg_in21k_ft_in1k	21.720	78.280	39.319	60.681	5.79	384	1.000	bicubic	-56.704	-55.223	-158
1006	crossvit_9_240.in1k	21.696	78.304	39.268	60.732	8.55	240	0.875	bicubic	-52.264	-52.694	+2
1007	vgg19_bn.tv_in1k	21.623	78.376	39.276	60.724	143.68	224	0.875	bilinear	-52.592	-52.568	-3
1008	semnasnet_075.rmsp_in1k	21.582	78.418	38.918	61.082	2.91	224	0.875	bicubic	-51.422	-52.222	+16
1009	resnet18.gluon_in1k	21.545	78.455	38.875	61.125	11.69	224	0.875	bicubic	-49.289	-50.881	+40
1010	mobilevitv2_075.cvnets_in1k	21.535	78.465	38.631	61.369	2.87	256	0.888	bicubic	-54.073	-54.113	-37
1011	fbnetc_100.rmsp_in1k	21.492	78.508	38.179	61.821	5.57	224	0.875	bilinear	-53.638	-54.209	-27
1012	repghostnet_100.in1k	21.459	78.541	38.682	61.318	4.07	224	0.875	bicubic	-52.748	-52.860	-7
1013	xcit_nano_12_p16_224.fb_in1k	21.437	78.563	39.791	60.209	3.05	224	1.000	bicubic	-48.525	-49.971	+42
1014	ghostnet_100.in1k	21.384	78.616	38.158	61.842	5.18	224	0.875	bicubic	-52.574	-53.374	-5
1015	mnasnet_100.rmsp_in1k	21.346	78.653	37.709	62.291	4.38	224	0.875	bicubic	-53.306	-54.413	-20
1016	resnet18.fb_ssl_yfcc100m_ft_in1k	21.293	78.707	39.114	60.886	11.69	224	0.875	bilinear	-51.305	-52.301	+11
1017	lcnet_100.ra2_in1k	21.293	78.707	38.867	61.133	2.95	224	0.875	bicubic	-50.809	-51.487	+23
1018	mixnet_s.ft_in1k	21.276	78.724	38.199	61.801	4.13	224	0.875	bicubic	-54.718	-55.071	-54
1019	legacy_seresnext26_32x4d.in1k	21.089	78.911	37.627	62.373	16.79	224	0.875	bicubic	-56.019	-55.687	-92
1020	efficientvit_m2.r224_in1k	21.081	78.919	37.690	62.310	4.19	224	0.875	bicubic	-49.733	-52.452	+30
1021	crossvit_tiny_240.in1k	21.048	78.952	38.061	61.939	7.01	240	0.875	bicubic	-52.292	-53.847	-3
1022	resnet18.a2_in1k	20.944	79.056	36.851	63.149	11.69	288	1.000	bicubic	-51.428	-53.745	+10
1023	repvgg_a0.rvgg_in1k	20.922	79.078	37.539	62.461	9.11	224	0.875	bilinear	-51.486	-52.953	+6
1024	regnetx_004.pycls_in1k	20.887	79.113	37.541	62.459	5.16	224	0.875	bicubic	-51.515	-53.285	+6
1025	spnasnet_100.rmsp_in1k	20.867	79.133	37.896	62.104	4.42	224	0.875	bilinear	-53.227	-53.924	-19
1026	seresnext26t_32x4d.bt_in1k	20.847	79.153	36.344	63.656	16.81	288	0.950	bicubic	-57.897	-57.968	-205
1027	legacy_seresnet18.in1k	20.835	79.165	37.639	62.361	11.78	224	0.875	bicubic	-50.925	-52.693	+16
1028	mobilenetv2_100.ra_in1k	20.761	79.239	37.757	62.243	3.50	224	0.875	bicubic	-52.207	-53.259	-2
1029	tf_mixnet_s.in1k	20.474	79.526	36.621	63.379	4.13	224	0.875	bicubic	-55.178	-56.019	-58
1030	vit_tiny_patch16_224.augreg_in21k_ft_in1k	20.460	79.540	37.601	62.399	5.72	224	0.900	bicubic	-55.002	-55.243	-52
1031	regnety_004.pycls_in1k	20.411	79.589	37.014	62.986	4.34	224	0.875	bicubic	-53.615	-54.734	-24
1032	tf_mobilenetv3_large_075.in1k	20.378	79.622	36.782	63.218	3.99	224	0.875	bilinear	-53.052	-54.570	-17
1033	hrnet_w18_small.ms_in1k	20.364	79.636	37.093	62.907	13.19	224	0.875	bilinear	-51.972	-53.588	0
1034	hrnet_w18_small.gluon_in1k	20.362	79.638	36.973	63.027	13.19	224	0.875	bicubic	-53.558	-54.221	-24
1035	resnet26d.bt_in1k	20.266	79.734	36.348	63.652	16.01	288	0.950	bicubic	-57.142	-57.290	-125
1036	resnet18.tv_in1k	20.230	79.770	37.258	62.742	11.69	224	0.875	bilinear	-49.530	-51.812	+21
1037	mixer_l16_224.goog_in21k_ft_in1k	20.175	79.825	32.938	67.062	208.20	224	0.875	bicubic	-51.879	-54.736	+3
1038	deit_tiny_patch16_224.fb_in1k	20.148	79.852	37.537	62.463	5.72	224	0.900	bicubic	-52.022	-53.579	0
1039	tf_mobilenetv3_large_minimal_100.in1k	20.103	79.897	36.894	63.106	3.92	224	0.875	bilinear	-52.161	-53.746	-4
1040	seresnext26d_32x4d.bt_in1k	20.067	79.933	35.233	64.766	16.81	288	0.950	bicubic	-58.747	-59.006	-226
1041	vgg16_bn.tv_in1k	19.945	80.055	36.314	63.686	138.37	224	0.875	bilinear	-53.425	-55.200	-24
1042	efficientvit_m1.r224_in1k	19.938	80.062	36.403	63.597	2.98	224	0.875	bicubic	-48.368	-52.267	+22
1043	resnet26.bt_in1k	19.739	80.261	35.839	64.161	16.00	288	0.950	bicubic	-56.627	-57.341	-87
1044	repghostnet_080.in1k	19.454	80.546	35.953	64.047	3.28	224	0.875	bicubic	-52.758	-54.531	-7
1045	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	19.334	80.666	36.059	63.941	6.34	224	0.900	bicubic	-52.464	-54.765	-3
1046	mobileone_s0.apple_in1k	19.309	80.691	35.342	64.658	5.29	224	0.875	bilinear	-52.093	-54.500	0
1047	tinynet_c.in1k	19.258	80.742	35.982	64.018	2.46	184	0.875	bicubic	-51.984	-53.750	+1
1048	edgenext_xx_small.in1k	18.863	81.137	35.159	64.841	1.33	288	1.000	bicubic	-53.015	-55.393	-7
1049	efficientvit_b0.r224_in1k	18.464	81.536	33.190	66.810	3.41	224	0.950	bicubic	-52.934	-56.238	-2
1050	resnet18.a3_in1k	18.442	81.558	33.487	66.513	11.69	224	0.950	bicubic	-49.810	-54.685	+15
1051	mobilevit_xs.cvnets_in1k	18.312	81.688	33.206	66.794	2.32	256	0.900	bicubic	-56.322	-59.142	-54
1052	lcnet_075.ra2_in1k	18.128	81.872	34.371	65.629	2.36	224	0.875	bicubic	-50.654	-53.989	+9
1053	vgg19.tv_in1k	17.941	82.059	33.058	66.942	143.67	224	0.875	bilinear	-54.437	-57.816	-22
1054	vgg13_bn.tv_in1k	17.798	82.202	34.043	65.957	133.05	224	0.875	bilinear	-53.790	-56.335	-9
1055	vgg16.tv_in1k	17.538	82.462	32.779	67.221	138.36	224	0.875	bilinear	-54.054	-57.605	-11
1056	regnety_002.pycls_in1k	17.456	82.544	32.435	67.565	3.16	224	0.875	bicubic	-52.824	-57.095	-3
1057	vgg11_bn.tv_in1k	17.397	82.603	33.001	66.999	132.87	224	0.875	bilinear	-52.985	-56.807	-5
1058	mobilevitv2_050.cvnets_in1k	17.306	82.694	33.007	66.993	1.37	256	0.888	bicubic	-52.842	-56.911	-4
1059	repghostnet_058.in1k	17.161	82.839	32.596	67.404	2.55	224	0.875	bicubic	-51.753	-55.824	+1
1060	regnetx_002.pycls_in1k	16.959	83.041	32.225	67.775	2.68	224	0.875	bicubic	-51.793	-56.317	+2
1061	mobilenetv3_small_100.lamb_in1k	16.803	83.197	32.518	67.482	2.54	224	0.875	bicubic	-50.855	-55.118	+7
1062	resnet10t.c3_in1k	16.699	83.301	32.123	67.877	5.44	224	0.950	bicubic	-51.665	-55.913	+1
1063	efficientvit_m0.r224_in1k	16.670	83.330	31.948	68.052	2.35	224	0.875	bicubic	-46.600	-53.228	+14
1064	mobilenetv2_050.lamb_in1k	16.668	83.332	31.950	68.050	1.97	224	0.875	bicubic	-49.280	-54.134	+9
1065	tinynet_d.in1k	16.658	83.342	32.449	67.551	2.34	152	0.875	bicubic	-50.314	-54.617	+4
1066	mnasnet_small.lamb_in1k	16.638	83.362	31.909	68.091	2.03	224	0.875	bicubic	-49.558	-54.595	+5
1067	dla60x_c.in1k	16.336	83.664	31.757	68.243	1.32	224	0.875	bilinear	-51.576	-56.675	0
1068	tf_mobilenetv3_small_100.in1k	16.216	83.784	31.205	68.795	2.54	224	0.875	bilinear	-51.706	-56.467	-2
1069	vgg13.tv_in1k	16.096	83.904	30.985	69.015	133.05	224	0.875	bilinear	-53.836	-58.265	-13
1070	resnet14t.c3_in1k	15.925	84.075	30.003	69.997	10.08	224	0.950	bicubic	-56.329	-60.303	-34
1071	vgg11.tv_in1k	15.723	84.278	30.451	69.549	132.86	224	0.875	bilinear	-53.300	-58.173	-13
1072	repghostnet_050.in1k	15.589	84.411	30.189	69.811	2.31	224	0.875	bicubic	-51.377	-56.731	-2
1073	mobilenetv3_small_075.lamb_in1k	14.948	85.052	29.733	70.267	2.04	224	0.875	bicubic	-50.288	-55.713	+2
1074	tf_mobilenetv3_small_075.in1k	14.932	85.067	29.562	70.438	2.04	224	0.875	bilinear	-50.794	-56.570	0
1075	dla46_c.in1k	14.665	85.335	29.397	70.603	1.30	224	0.875	bilinear	-50.207	-56.901	+1
1076	mobilevit_xxs.cvnets_in1k	14.490	85.510	28.654	71.346	1.27	256	0.900	bicubic	-54.428	-60.291	-17
1077	dla46x_c.in1k	14.380	85.620	29.197	70.803	1.07	224	0.875	bilinear	-51.612	-57.777	-5
1078	lcnet_050.ra2_in1k	14.290	85.710	28.659	71.341	1.88	224	0.875	bicubic	-48.848	-55.724	0
1079	tf_mobilenetv3_small_minimal_100.in1k	13.962	86.038	27.990	72.010	2.04	224	0.875	bilinear	-48.932	-56.248	0
1080	tinynet_e.in1k	12.671	87.329	26.383	73.617	2.04	106	0.875	bicubic	-47.195	-55.379	0
1081	mobilenetv3_small_050.lamb_in1k	11.038	88.962	23.477	76.523	1.59	224	0.875	bicubic	-46.878	-56.703	0