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

1	model	img_size	top1	top1_err	top5	top5_err	param_count	crop_pct	interpolation	top1_diff	top5_diff	rank_diff
2	eva_giant_patch14_336.clip_ft_in1k	336	71.182	28.818	90.308	9.692	1,013.01	1.000	bicubic	-18.280	-8.520	+6
3	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	448	70.664	29.336	89.849	10.152	305.08	1.000	bicubic	-19.390	-9.207	-1
4	eva02_large_patch14_448.mim_m38m_ft_in1k	448	70.546	29.454	89.841	10.159	305.08	1.000	bicubic	-19.008	-9.083	+3
5	eva_giant_patch14_224.clip_ft_in1k	224	70.066	29.934	89.770	10.230	1,012.56	0.900	bicubic	-18.820	-8.910	+5
6	convnext_xxlarge.clip_laion2b_soup_ft_in1k	256	70.062	29.938	90.344	9.656	846.47	1.000	bicubic	-18.560	-8.374	+10
7	eva_giant_patch14_336.m30m_ft_in22k_in1k	336	68.036	31.964	87.830	12.170	1,013.01	1.000	bicubic	-21.534	-11.124	-1
8	eva02_large_patch14_448.mim_in22k_ft_in22k_in1k	448	67.561	32.439	87.492	12.508	305.08	1.000	bicubic	-22.407	-11.520	-5
9	eva_giant_patch14_560.m30m_ft_in22k_in1k	560	67.484	32.516	87.433	12.567	1,014.45	1.000	bicubic	-22.312	-11.557	-5
10	vit_huge_patch14_clip_224.laion2b_ft_in1k	224	67.437	32.563	87.877	12.123	632.05	1.000	bicubic	-20.187	-10.350	+38
11	eva02_large_patch14_448.mim_in22k_ft_in1k	448	66.979	33.021	87.445	12.555	305.08	1.000	bicubic	-22.653	-11.509	-6
12	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	384	66.466	33.534	87.406	12.594	200.13	1.000	bicubic	-21.424	-11.042	+29
13	vit_large_patch14_clip_336.laion2b_ft_in1k	336	65.747	34.253	86.948	13.052	304.53	1.000	bicubic	-22.119	-11.406	+29
14	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	384	65.745	34.255	87.021	12.979	200.13	1.000	bicubic	-22.589	-11.553	+9
15	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	224	65.319	34.681	86.856	13.144	632.05	1.000	bicubic	-22.959	-11.696	+10
16	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	336	65.267	34.733	86.771	13.229	632.46	1.000	bicubic	-23.361	-11.899	-1
17	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	256	65.071	34.929	86.288	13.712	200.13	1.000	bicubic	-22.267	-11.934	+44
18	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	320	64.916	35.084	86.630	13.370	200.13	1.000	bicubic	-23.054	-11.844	+19
19	vit_large_patch14_clip_224.laion2b_ft_in1k	224	64.816	35.184	86.563	13.437	304.20	1.000	bicubic	-22.482	-11.665	+44
20	regnety_1280.swag_ft_in1k	384	64.112	35.888	86.052	13.948	644.81	1.000	bicubic	-24.114	-12.632	+10
21	vit_large_patch14_clip_336.openai_ft_in12k_in1k	336	64.059	35.941	85.912	14.088	304.53	1.000	bicubic	-24.205	-12.616	+6
22	eva_large_patch14_336.in22k_ft_in1k	336	63.084	36.916	84.394	15.607	304.53	1.000	bicubic	-25.606	-14.316	-10
23	vit_large_patch14_clip_224.openai_ft_in1k	224	62.642	37.358	85.124	14.876	304.20	1.000	bicubic	-25.218	-13.306	+20
24	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	224	62.047	37.953	84.333	15.667	304.20	1.000	bicubic	-25.851	-14.075	+16
25	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	336	61.664	38.336	83.678	16.322	304.53	1.000	bicubic	-26.528	-14.892	+7
26	vit_large_patch14_clip_224.openai_ft_in12k_in1k	224	61.396	38.604	83.395	16.605	304.20	1.000	bicubic	-26.766	-15.145	+8
27	eva_large_patch14_196.in22k_ft_in1k	196	61.129	38.871	82.760	17.239	304.14	1.000	bicubic	-26.827	-15.720	+11
28	eva_large_patch14_336.in22k_ft_in22k_in1k	336	60.933	39.067	82.136	17.864	304.53	1.000	bicubic	-28.317	-16.716	-19
29	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	384	60.815	39.185	83.213	16.788	88.59	1.000	bicubic	-26.335	-15.015	+37
30	convnext_base.clip_laion2b_augreg_ft_in1k	256	60.318	39.682	82.719	17.281	88.59	1.000	bicubic	-25.866	-14.955	+103
31	regnety_1280.swag_lc_in1k	224	59.942	40.058	83.159	16.841	644.81	0.965	bicubic	-26.026	-14.691	+126
32	eva_large_patch14_196.in22k_ft_in22k_in1k	196	59.871	40.129	81.120	18.880	304.14	1.000	bicubic	-28.725	-17.542	-15
33	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	256	59.848	40.152	82.808	17.192	88.59	1.000	bicubic	-26.538	-15.168	+81
34	convnext_base.clip_laiona_augreg_ft_in1k_384	384	59.414	40.586	82.248	17.752	88.59	1.000	bicubic	-27.074	-15.714	+73
35	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	448	58.533	41.467	80.809	19.191	87.12	1.000	bicubic	-30.149	-17.919	-22
36	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	224	58.417	41.583	80.412	19.588	468.53	0.875	bilinear	-26.681	-17.030	+207
37	beitv2_large_patch16_224.in1k_ft_in22k_in1k	224	58.374	41.626	80.218	19.782	304.43	0.950	bicubic	-30.032	-18.384	-17
38	eva02_base_patch14_448.mim_in22k_ft_in1k	448	58.046	41.954	80.725	19.275	87.12	1.000	bicubic	-30.220	-17.845	-12
39	regnety_320.swag_ft_in1k	384	57.932	42.068	81.491	18.509	145.05	1.000	bicubic	-28.928	-16.865	+43
40	convnextv2_huge.fcmae_ft_in22k_in1k_384	384	57.889	42.111	79.654	20.346	660.29	1.000	bicubic	-30.773	-19.080	-26
41	convnextv2_huge.fcmae_ft_in22k_in1k_512	512	57.859	42.141	79.516	20.484	660.29	1.000	bicubic	-31.001	-19.224	-30
42	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	224	57.678	42.322	79.882	20.118	194.03	0.875	bilinear	-26.486	-17.306	+318
43	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	224	57.472	42.528	80.404	19.596	194.03	0.875	bilinear	-25.874	-16.440	+458
44	beit_large_patch16_384.in22k_ft_in22k_in1k	384	56.979	43.021	79.166	20.834	305.00	1.000	bicubic	-31.423	-19.442	-23
45	vit_base_patch16_clip_384.laion2b_ft_in1k	384	56.889	43.111	79.976	20.024	86.86	1.000	bicubic	-29.750	-18.032	+50
46	beit_large_patch16_512.in22k_ft_in22k_in1k	512	56.796	43.204	78.897	21.103	305.67	1.000	bicubic	-31.800	-19.759	-28
47	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	224	56.446	43.554	78.974	21.026	88.79	0.875	bilinear	-27.852	-18.200	+297
48	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	384	56.283	43.717	77.303	22.697	116.14	1.000	bicubic	-31.527	-21.075	-4
49	maxvit_xlarge_tf_384.in21k_ft_in1k	384	56.228	43.772	78.746	21.254	475.32	1.000	bicubic	-32.076	-19.794	-25
50	maxvit_xlarge_tf_512.in21k_ft_in1k	512	56.152	43.848	78.685	21.315	475.77	1.000	bicubic	-32.388	-19.965	-31
51	maxvit_base_tf_512.in21k_ft_in1k	512	56.108	43.892	78.661	21.339	119.88	1.000	bicubic	-32.106	-19.877	-20
52	deit3_huge_patch14_224.fb_in22k_ft_in1k	224	55.794	44.206	77.645	22.355	632.13	1.000	bicubic	-31.386	-20.618	+13
53	maxvit_base_tf_384.in21k_ft_in1k	384	55.686	44.314	78.038	21.962	119.65	1.000	bicubic	-32.242	-20.499	-14
54	regnety_320.swag_lc_in1k	224	55.442	44.558	79.748	20.252	145.05	0.965	bicubic	-29.180	-17.738	+239
55	vit_base_patch16_clip_224.laion2b_ft_in1k	224	55.426	44.574	79.109	20.891	86.57	1.000	bicubic	-30.068	-18.463	+143
56	regnety_160.swag_ft_in1k	384	55.165	44.835	79.329	20.671	83.59	1.000	bicubic	-30.853	-18.721	+95
57	maxvit_large_tf_512.in21k_ft_in1k	512	55.155	44.845	77.260	22.740	212.33	1.000	bicubic	-33.081	-21.348	-28
58	maxvit_large_tf_384.in21k_ft_in1k	384	55.069	44.931	77.148	22.852	212.03	1.000	bicubic	-32.927	-21.420	-22
59	convnext_xlarge.fb_in22k_ft_in1k_384	384	55.004	44.996	76.775	23.225	350.20	1.000	bicubic	-32.760	-21.777	-14
60	beit_large_patch16_224.in22k_ft_in22k_in1k	224	54.973	45.027	77.616	22.384	304.43	0.900	bicubic	-32.515	-20.700	-9
61	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	224	54.957	45.043	77.524	22.476	88.79	0.875	bilinear	-27.763	-19.100	+519
62	deit3_large_patch16_384.fb_in22k_ft_in1k	384	54.925	45.075	77.370	22.630	304.76	1.000	bicubic	-32.809	-21.138	-16
63	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	384	54.790	45.210	76.861	23.139	116.09	1.000	bicubic	-32.688	-21.513	-11
64	caformer_b36.sail_in22k_ft_in1k_384	384	54.446	45.554	76.824	23.176	98.75	1.000	bicubic	-33.620	-21.766	-29
65	deit3_large_patch16_224.fb_in22k_ft_in1k	224	54.383	45.617	76.559	23.441	304.37	1.000	bicubic	-32.603	-21.681	+9
66	hgnetv2_b6.ssld_stage1_in22k_in1k	224	54.234	45.766	77.221	22.779	75.26	1.000	bicubic	-31.826	-20.603	+80
67	beitv2_large_patch16_224.in1k_ft_in1k	224	54.169	45.831	75.568	24.432	304.43	0.950	bicubic	-33.245	-22.648	-9
68	hgnetv2_b6.ssld_stage2_ft_in1k	224	54.020	45.980	76.999	23.001	75.26	1.000	bicubic	-32.143	-20.871	+66
69	convnextv2_large.fcmae_ft_in22k_in1k_384	384	53.917	46.083	76.032	23.968	197.96	1.000	bicubic	-34.261	-22.486	-36
70	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	224	53.782	46.218	75.158	24.842	116.14	0.950	bicubic	-33.126	-22.846	+9
71	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	224	53.646	46.354	76.407	23.593	44.18	0.875	bilinear	-29.622	-20.353	+435
72	convnext_xlarge.fb_in22k_ft_in1k	224	53.636	46.364	75.346	24.654	350.20	1.000	bicubic	-33.308	-22.958	+5
73	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	384	53.505	46.495	75.680	24.320	86.86	1.000	bicubic	-33.707	-22.348	-9
74	hgnetv2_b6.ssld_stage1_in22k_in1k	288	53.159	46.841	76.150	23.850	75.26	1.000	bicubic	-33.139	-21.790	+48
75	vit_base_patch16_clip_384.openai_ft_in1k	384	53.112	46.888	76.684	23.316	86.86	1.000	bicubic	-33.106	-21.201	+53
76	regnety_160.swag_lc_in1k	224	53.090	46.910	78.162	21.838	83.59	0.965	bicubic	-30.718	-18.498	+336
77	hgnetv2_b6.ssld_stage2_ft_in1k	288	53.015	46.985	76.050	23.950	75.26	1.000	bicubic	-33.367	-21.888	+38
78	convnextv2_base.fcmae_ft_in22k_in1k_384	384	52.905	47.095	75.087	24.913	88.72	1.000	bicubic	-34.733	-23.329	-31
79	convformer_b36.sail_in22k_ft_in1k_384	384	52.892	47.108	74.961	25.039	99.88	1.000	bicubic	-34.710	-23.471	-30
80	vit_large_patch16_384.augreg_in21k_ft_in1k	384	52.803	47.197	74.755	25.245	304.72	1.000	bicubic	-34.291	-23.551	-11
81	caformer_b36.sail_in22k_ft_in1k	224	52.782	47.218	75.279	24.721	98.75	1.000	bicubic	-34.658	-23.052	-24
82	convnext_large.fb_in22k_ft_in1k_384	384	52.738	47.262	74.710	25.290	197.77	1.000	bicubic	-34.718	-23.670	-26
83	convformer_b36.sail_in22k_ft_in1k	224	52.730	47.270	74.908	25.092	99.88	1.000	bicubic	-34.253	-23.250	-8
84	convnextv2_large.fcmae_ft_in22k_in1k	224	52.495	47.505	74.490	25.510	197.96	1.000	bicubic	-34.973	-23.840	-29
85	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	384	52.400	47.600	73.808	26.192	73.88	1.000	bicubic	-35.002	-24.500	-26
86	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	384	52.312	47.688	74.401	25.599	196.74	1.000	bicubic	-35.162	-23.863	-33
87	convnext_xlarge.fb_in22k_ft_in1k	288	52.210	47.790	73.916	26.084	350.20	1.000	bicubic	-35.164	-24.414	-27
88	vit_large_r50_s32_384.augreg_in21k_ft_in1k	384	52.062	47.938	73.568	26.432	329.09	1.000	bicubic	-34.122	-24.360	+44
89	vit_large_patch16_224.augreg_in21k_ft_in1k	224	51.842	48.158	73.743	26.257	304.33	0.900	bicubic	-34.008	-24.083	+76
90	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	224	51.836	48.164	74.651	25.349	86.57	0.950	bicubic	-34.374	-23.105	+39
91	convnext_base.fb_in22k_ft_in1k_384	384	51.553	48.447	74.537	25.463	88.59	1.000	bicubic	-35.273	-23.707	-6
92	tf_efficientnet_l2.ns_jft_in1k_475	475	51.410	48.590	73.817	26.183	480.31	0.936	bicubic	-36.840	-24.739	-64
93	convnextv2_base.fcmae_ft_in22k_in1k	224	51.371	48.629	73.527	26.473	88.72	1.000	bicubic	-35.405	-24.537	-4
94	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	224	51.182	48.818	73.130	26.870	116.09	0.950	bicubic	-35.456	-24.884	0
95	vit_base_patch16_clip_384.openai_ft_in12k_in1k	384	51.149	48.851	74.344	25.656	86.86	0.950	bicubic	-35.879	-23.850	-24
96	convnext_large.fb_in22k_ft_in1k	224	51.046	48.954	73.295	26.705	197.77	1.000	bicubic	-35.726	-24.799	-6
97	caformer_m36.sail_in22k_ft_in1k_384	384	51.041	48.959	73.415	26.585	56.20	1.000	bicubic	-36.431	-24.893	-43
98	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	384	51.009	48.991	73.287	26.713	87.92	1.000	bicubic	-36.131	-24.941	-31
99	vit_base_patch16_clip_224.openai_ft_in1k	224	51.001	48.999	74.804	25.196	86.57	0.900	bicubic	-34.285	-22.636	+117
100	tf_efficientnetv2_xl.in21k_ft_in1k	384	50.787	49.213	72.778	27.222	208.12	1.000	bicubic	-34.773	-24.672	+91
101	seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	384	50.765	49.235	73.647	26.353	149.39	1.000	bicubic	-36.541	-24.687	-39
102	hgnetv2_b5.ssld_stage1_in22k_in1k	224	50.653	49.347	73.617	26.383	39.57	1.000	bicubic	-33.733	-23.049	+231
103	hgnetv2_b5.ssld_stage2_ft_in1k	224	50.604	49.396	73.639	26.361	39.57	1.000	bicubic	-34.100	-23.653	+185
104	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	224	50.492	49.508	73.303	26.697	25.03	0.875	bilinear	-31.670	-22.921	+574
105	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	256	50.471	49.529	72.784	27.216	196.74	0.900	bicubic	-36.463	-25.320	-27
106	swin_large_patch4_window12_384.ms_in22k_ft_in1k	384	50.343	49.657	72.532	27.468	196.74	1.000	bicubic	-36.795	-25.698	-38
107	convnextv2_large.fcmae_ft_in22k_in1k	288	50.166	49.834	72.389	27.611	197.96	1.000	bicubic	-37.328	-25.971	-57
108	hiera_huge_224.mae_in1k_ft_in1k	224	50.078	49.922	71.234	28.767	672.78	0.900	bicubic	-36.756	-26.776	-24
109	convnext_large.fb_in22k_ft_in1k	288	49.942	50.058	72.208	27.792	197.77	1.000	bicubic	-37.072	-26.004	-37
110	nextvit_large.bd_ssld_6m_in1k_384	384	49.793	50.207	72.837	27.163	57.87	1.000	bicubic	-36.749	-25.295	-10
111	tf_efficientnetv2_xl.in21k_ft_in1k	512	49.759	50.241	72.124	27.876	208.12	1.000	bicubic	-36.997	-25.892	-20
112	caformer_m36.sail_in22k_ft_in1k	224	49.708	50.292	72.133	27.866	56.20	1.000	bicubic	-36.900	-25.904	-15
113	tf_efficientnetv2_l.in21k_ft_in1k	384	49.706	50.294	72.739	27.261	118.52	1.000	bicubic	-36.126	-25.031	+55
114	vit_base_patch16_clip_224.openai_ft_in12k_in1k	224	49.693	50.307	72.872	27.128	86.57	0.950	bicubic	-36.270	-24.846	+44
115	convnext_base.fb_in22k_ft_in1k	224	49.691	50.309	72.782	27.218	88.59	1.000	bicubic	-36.183	-25.130	+46
116	nextvit_base.bd_ssld_6m_in1k_384	384	49.653	50.347	72.615	27.385	44.82	1.000	bicubic	-36.711	-25.281	+1
117	resnet50.fb_swsl_ig1b_ft_in1k	224	49.520	50.480	72.330	27.670	25.56	0.875	bilinear	-31.663	-23.660	+693
118	beitv2_base_patch16_224.in1k_ft_in22k_in1k	224	49.512	50.488	72.407	27.593	86.53	0.900	bicubic	-36.982	-25.649	-12
119	convnextv2_huge.fcmae_ft_in1k	224	49.510	50.490	70.310	29.690	660.29	1.000	bicubic	-36.806	-27.566	+1
120	hgnet_base.ssld_in1k	224	49.423	50.577	71.367	28.633	71.58	1.000	bicubic	-35.495	-25.965	+147
121	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	224	49.350	50.650	70.835	29.165	73.88	0.950	bicubic	-37.190	-27.061	-20
122	convnextv2_base.fcmae_ft_in22k_in1k	288	49.170	50.830	71.237	28.763	88.72	1.000	bicubic	-37.828	-26.927	-49
123	convformer_m36.sail_in22k_ft_in1k_384	384	49.134	50.866	71.389	28.611	57.05	1.000	bicubic	-37.758	-26.727	-43
124	vit_base_patch32_clip_224.laion2b_ft_in1k	224	49.103	50.897	72.568	27.432	88.22	0.900	bicubic	-33.527	-23.636	+473
125	convformer_m36.sail_in22k_ft_in1k	224	49.062	50.938	71.475	28.525	57.05	1.000	bicubic	-37.090	-26.377	+12
126	swin_large_patch4_window7_224.ms_in22k_ft_in1k	224	48.981	51.019	71.375	28.625	196.53	0.900	bicubic	-37.349	-26.507	-7
127	convnext_base.fb_in22k_ft_in1k	288	48.954	51.046	71.705	28.295	88.59	1.000	bicubic	-37.344	-26.383	-6
128	hgnetv2_b5.ssld_stage1_in22k_in1k	288	48.796	51.204	71.532	28.468	39.57	1.000	bicubic	-36.128	-25.982	+137
129	tf_efficientnetv2_l.in21k_ft_in1k	480	48.788	51.212	72.051	27.949	118.52	1.000	bicubic	-38.011	-26.085	-42
130	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	256	48.783	51.217	71.379	28.621	87.92	0.900	bicubic	-37.493	-26.529	-6
131	coatnet_2_rw_224.sw_in12k_ft_in1k	224	48.763	51.237	70.121	29.879	73.87	0.950	bicubic	-37.817	-27.775	-32
132	beit_base_patch16_384.in22k_ft_in22k_in1k	384	48.690	51.310	72.088	27.912	86.74	1.000	bicubic	-38.126	-26.048	-46
133	hgnetv2_b5.ssld_stage2_ft_in1k	288	48.655	51.345	71.387	28.613	39.57	1.000	bicubic	-36.495	-26.213	+101
134	swin_base_patch4_window12_384.ms_in22k_ft_in1k	384	48.521	51.479	71.829	28.171	87.90	1.000	bicubic	-37.917	-26.239	-23
135	caformer_s36.sail_in22k_ft_in1k_384	384	48.472	51.528	71.513	28.488	39.30	1.000	bicubic	-38.390	-26.709	-54
136	tf_efficientnetv2_m.in21k_ft_in1k	384	48.425	51.575	71.892	28.108	54.14	1.000	bicubic	-36.343	-25.542	+146
137	maxvit_base_tf_512.in1k	512	48.246	51.754	70.844	29.156	119.88	1.000	bicubic	-38.354	-27.082	-39
138	vit_large_r50_s32_224.augreg_in21k_ft_in1k	224	48.217	51.783	70.870	29.130	328.99	0.900	bicubic	-36.215	-26.282	+185
139	nextvit_large.bd_ssld_6m_in1k	224	48.077	51.923	71.147	28.853	57.87	0.950	bicubic	-37.447	-26.529	+56
140	nextvit_base.bd_ssld_6m_in1k	224	48.046	51.954	70.721	29.279	44.82	0.950	bicubic	-37.136	-26.873	+90
141	vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	48.002	51.998	69.650	30.350	64.11	0.950	bicubic	-38.206	-28.232	-11
142	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	384	47.950	52.050	70.899	29.101	88.30	1.000	bicubic	-37.460	-26.761	+67
143	vit_base_patch8_224.augreg_in21k_ft_in1k	224	47.796	52.204	70.978	29.022	86.58	0.900	bicubic	-38.040	-26.796	+24
144	hrnet_w48_ssld.paddle_in1k	224	47.743	52.257	69.679	30.321	77.47	1.000	bilinear	-35.871	-27.151	+304
145	tf_efficientnet_b7.ns_jft_in1k	600	47.725	52.275	69.603	30.398	66.35	0.949	bicubic	-39.125	-28.477	-62
146	tf_efficientnet_b6.ns_jft_in1k	528	47.719	52.281	69.903	30.097	43.04	0.942	bicubic	-38.737	-27.981	-37
147	deit3_base_patch16_384.fb_in22k_ft_in1k	384	47.676	52.324	69.736	30.264	86.88	1.000	bicubic	-39.068	-28.374	-55
148	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	448	47.582	52.418	70.066	29.934	88.34	1.000	bicubic	-38.218	-27.566	+23
149	vit_base_patch8_224.augreg2_in21k_ft_in1k	224	47.492	52.508	70.326	29.674	86.58	0.900	bicubic	-38.736	-27.514	-22
150	tf_efficientnetv2_m.in21k_ft_in1k	480	47.468	52.532	70.923	29.077	54.14	1.000	bicubic	-38.546	-27.033	+2
151	hgnet_base.ssld_in1k	288	47.419	52.581	69.322	30.678	71.58	1.000	bicubic	-38.059	-28.311	+49
152	tf_efficientnet_l2.ns_jft_in1k	800	47.395	52.605	69.838	30.162	480.31	0.960	bicubic	-40.967	-28.818	-130
153	deit3_base_patch16_224.fb_in22k_ft_in1k	224	47.372	52.628	69.785	30.215	86.59	1.000	bicubic	-38.356	-27.961	+25
154	tiny_vit_21m_512.dist_in22k_ft_in1k	512	47.234	52.766	70.039	29.961	21.27	1.000	bicubic	-39.218	-27.845	-44
155	convformer_s36.sail_in22k_ft_in1k_384	384	47.150	52.850	69.489	30.512	40.01	1.000	bicubic	-39.230	-28.487	-39
156	maxvit_large_tf_512.in1k	512	47.057	52.943	69.575	30.425	212.33	1.000	bicubic	-39.477	-28.305	-54
157	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	288	46.961	53.039	69.819	30.181	93.59	1.000	bicubic	-39.567	-28.307	-54
158	convnext_small.fb_in22k_ft_in1k_384	384	46.882	53.118	69.528	30.472	50.22	1.000	bicubic	-38.896	-27.992	+15
159	convnextv2_huge.fcmae_ft_in1k	288	46.882	53.118	67.777	32.223	660.29	1.000	bicubic	-39.736	-30.191	-63
160	convformer_s36.sail_in22k_ft_in1k	224	46.877	53.123	69.549	30.451	40.01	1.000	bicubic	-38.556	-28.023	+45
161	convnextv2_large.fcmae_ft_in1k	224	46.786	53.214	67.749	32.251	197.96	1.000	bicubic	-38.812	-29.869	+26
162	caformer_s36.sail_in22k_ft_in1k	224	46.709	53.291	69.762	30.238	39.30	1.000	bicubic	-39.077	-28.068	+10
163	seresnextaa101d_32x8d.sw_in12k_ft_in1k	224	46.560	53.440	69.604	30.396	93.59	1.000	bicubic	-39.508	-28.258	-19
164	nextvit_small.bd_ssld_6m_in1k_384	384	46.428	53.572	69.154	30.846	31.76	1.000	bicubic	-39.540	-28.746	-8
165	tiny_vit_21m_384.dist_in22k_ft_in1k	384	46.281	53.719	69.217	30.783	21.23	1.000	bicubic	-39.827	-28.493	-26
166	maxvit_base_tf_384.in1k	384	46.271	53.729	68.522	31.478	119.65	1.000	bicubic	-40.021	-29.282	-43
167	beit_base_patch16_224.in22k_ft_in22k_in1k	224	46.258	53.742	69.905	30.095	86.53	0.900	bicubic	-38.986	-27.747	+55
168	hrnet_w48_ssld.paddle_in1k	288	46.248	53.752	68.148	31.852	77.47	1.000	bilinear	-38.236	-28.626	+142
169	vit_base_patch32_clip_384.openai_ft_in12k_in1k	384	46.218	53.782	69.320	30.680	88.30	0.950	bicubic	-39.008	-28.078	+55
170	beitv2_base_patch16_224.in1k_ft_in1k	224	45.998	54.002	67.865	32.135	86.53	0.900	bicubic	-39.598	-29.649	+18
171	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	320	45.886	54.114	68.573	31.427	93.59	1.000	bicubic	-40.836	-29.609	-78
172	vit_base_patch16_384.augreg_in21k_ft_in1k	384	45.886	54.114	68.535	31.465	86.86	1.000	bicubic	-40.120	-29.457	-18
173	hiera_large_224.mae_in1k_ft_in1k	224	45.823	54.177	66.315	33.685	213.74	0.900	bicubic	-40.221	-31.333	-25
174	maxvit_large_tf_384.in1k	384	45.798	54.202	68.109	31.891	212.03	1.000	bicubic	-40.438	-29.581	-49
175	tf_efficientnet_b8.ap_in1k	672	45.764	54.236	67.911	32.089	87.41	0.954	bicubic	-39.602	-29.387	+38
176	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	224	45.739	54.261	68.881	31.119	88.22	0.900	bicubic	-37.567	-27.649	+328
177	convnext_small.in12k_ft_in1k_384	384	45.709	54.291	67.828	32.172	50.22	1.000	bicubic	-40.477	-30.092	-46
178	tf_efficientnet_b5.ns_jft_in1k	456	45.619	54.381	67.858	32.142	30.39	0.934	bicubic	-40.483	-29.892	-37
179	swin_base_patch4_window7_224.ms_in22k_ft_in1k	224	45.562	54.438	68.510	31.490	87.77	0.900	bicubic	-39.708	-29.058	+40
180	hgnet_small.ssld_in1k	224	45.363	54.637	67.742	32.258	24.36	1.000	bicubic	-38.397	-29.120	+246
181	hgnetv2_b4.ssld_stage2_ft_in1k	224	45.326	54.674	67.624	32.376	19.80	1.000	bicubic	-38.130	-29.078	+295
182	rdnet_large.nv_in1k_ft_in1k_384	384	45.324	54.676	66.714	33.286	186.27	1.000	bicubic	-40.528	-30.962	-18
183	mvitv2_large.fb_in1k	224	45.322	54.678	65.211	34.789	217.99	0.900	bicubic	-39.942	-31.977	+38
184	vit_base_patch16_224.augreg2_in21k_ft_in1k	224	45.132	54.868	67.455	32.545	86.57	0.900	bicubic	-39.978	-30.083	+55
185	vit_base_patch32_clip_224.openai_ft_in1k	224	45.039	54.961	68.457	31.543	88.22	0.900	bicubic	-36.907	-27.517	+523
186	nextvit_small.bd_ssld_6m_in1k	224	45.008	54.992	67.718	32.282	31.76	0.950	bicubic	-39.848	-29.662	+88
187	seresnextaa101d_32x8d.sw_in12k_ft_in1k	288	44.876	55.124	67.559	32.441	93.59	1.000	bicubic	-41.638	-30.477	-83
188	tiny_vit_21m_224.dist_in22k_ft_in1k	224	44.823	55.177	67.555	32.445	21.20	0.950	bicubic	-40.265	-29.801	+57
189	convnextv2_large.fcmae_ft_in1k	288	44.805	55.195	65.861	34.139	197.96	1.000	bicubic	-41.321	-31.957	-51
190	regnety_160.sw_in12k_ft_in1k	224	44.676	55.324	66.608	33.392	83.59	1.000	bicubic	-40.956	-30.998	-6
191	regnety_160.lion_in12k_ft_in1k	224	44.670	55.330	66.572	33.428	83.59	1.000	bicubic	-40.952	-31.094	-6
192	volo_d5_512.sail_in1k	512	44.570	55.430	65.755	34.245	296.09	1.150	bicubic	-42.496	-32.219	-122
193	rdnet_large.nv_in1k	224	44.505	55.495	65.028	34.972	186.27	0.900	bicubic	-40.287	-32.114	+85
194	convnext_small.in12k_ft_in1k	224	44.424	55.576	66.551	33.449	50.22	1.000	bicubic	-40.722	-31.011	+41
195	convnextv2_tiny.fcmae_ft_in22k_in1k_384	384	44.302	55.698	66.623	33.377	28.64	1.000	bicubic	-40.804	-31.009	+45
196	cait_m48_448.fb_dist_in1k	448	44.247	55.753	64.706	35.294	356.46	1.000	bicubic	-42.235	-33.040	-88
197	convnext_small.fb_in22k_ft_in1k	224	44.233	55.767	67.132	32.868	50.22	1.000	bicubic	-40.512	-30.370	+86
198	deit3_large_patch16_384.fb_in1k	384	44.188	55.812	64.778	35.222	304.76	1.000	bicubic	-41.630	-32.824	-29
199	dm_nfnet_f6.dm_in1k	448	44.116	55.884	65.885	34.115	438.36	0.956	bicubic	-42.038	-31.883	-63
200	volo_d5_448.sail_in1k	448	44.098	55.902	65.065	34.935	295.91	1.150	bicubic	-42.880	-32.863	-124
201	eva02_small_patch14_336.mim_in22k_ft_in1k	336	44.002	55.998	65.934	34.066	22.13	1.000	bicubic	-41.758	-31.676	-25
202	dm_nfnet_f5.dm_in1k	416	43.923	56.077	64.869	35.131	377.21	0.954	bicubic	-41.793	-32.683	-23
203	deit3_huge_patch14_224.fb_in1k	224	43.813	56.187	64.330	35.670	632.13	0.900	bicubic	-41.409	-33.032	+22
204	hgnetv2_b4.ssld_stage2_ft_in1k	288	43.797	56.203	66.397	33.602	19.80	1.000	bicubic	-40.137	-30.666	+184
205	vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	43.613	56.387	64.106	35.894	60.40	0.950	bicubic	-41.811	-33.368	+3
206	regnety_120.sw_in12k_ft_in1k	224	43.597	56.403	65.863	34.137	51.82	1.000	bicubic	-41.393	-31.421	+50
207	convnext_small.fb_in22k_ft_in1k	288	43.593	56.407	66.447	33.553	50.22	1.000	bicubic	-41.683	-31.231	+11
208	deit3_large_patch16_224.fb_in1k	224	43.559	56.441	63.481	36.519	304.37	0.900	bicubic	-41.219	-33.565	+73
209	vit_base_r50_s16_384.orig_in21k_ft_in1k	384	43.524	56.476	66.790	33.209	98.95	1.000	bicubic	-41.470	-30.514	+46
210	hgnet_small.ssld_in1k	288	43.522	56.478	65.718	34.282	24.36	1.000	bicubic	-40.856	-31.412	+125
211	tf_efficientnet_b4.ns_jft_in1k	380	43.451	56.549	65.464	34.536	19.34	0.922	bicubic	-41.725	-32.024	+20
212	efficientvit_l3.r384_in1k	384	43.302	56.698	63.169	36.831	246.04	1.000	bicubic	-43.096	-34.465	-99
213	dm_nfnet_f3.dm_in1k	320	43.300	56.700	64.232	35.768	254.92	0.940	bicubic	-41.796	-33.154	+31
214	volo_d5_224.sail_in1k	224	43.284	56.716	64.102	35.898	295.46	0.960	bicubic	-42.794	-33.476	-71
215	deit3_medium_patch16_224.fb_in22k_ft_in1k	224	43.271	56.729	64.914	35.086	38.85	1.000	bicubic	-41.295	-32.264	+85
216	vit_base_patch16_224.augreg_in21k_ft_in1k	224	43.251	56.749	65.712	34.288	86.57	0.900	bicubic	-41.281	-31.586	+89
217	volo_d4_448.sail_in1k	448	43.125	56.875	64.130	35.870	193.41	1.150	bicubic	-43.665	-33.750	-129
218	hgnetv2_b4.ssld_stage1_in22k_in1k	224	43.082	56.918	65.128	34.872	19.80	1.000	bicubic	-39.730	-31.146	+348
219	hgnetv2_b3.ssld_stage2_ft_in1k	224	43.078	56.922	65.374	34.626	16.29	1.000	bicubic	-39.732	-31.038	+349
220	efficientvit_l3.r320_in1k	320	42.952	57.048	62.397	37.603	246.04	1.000	bicubic	-43.278	-35.059	-94
221	xcit_large_24_p8_384.fb_dist_in1k	384	42.876	57.124	63.383	36.617	188.93	1.000	bicubic	-43.150	-34.307	-71
222	efficientnet_b5.sw_in12k_ft_in1k	448	42.874	57.126	65.415	34.585	30.39	1.000	bicubic	-43.018	-32.327	-62
223	dm_nfnet_f4.dm_in1k	384	42.872	57.128	63.477	36.523	316.07	0.951	bicubic	-42.624	-34.013	-26
224	tf_efficientnetv2_l.in1k	384	42.866	57.134	64.063	35.937	118.52	1.000	bicubic	-42.336	-33.215	+4
225	regnety_160.lion_in12k_ft_in1k	288	42.748	57.252	64.204	35.796	83.59	1.000	bicubic	-43.264	-33.642	-72
226	vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	42.726	57.274	63.996	36.004	38.88	0.950	bicubic	-42.218	-33.392	+33
227	regnety_160.sw_in12k_ft_in1k	288	42.722	57.278	64.324	35.676	83.59	1.000	bicubic	-43.310	-33.506	-78
228	convnext_small.in12k_ft_in1k	288	42.681	57.319	64.314	35.685	50.22	1.000	bicubic	-42.643	-33.240	-13
229	maxvit_small_tf_512.in1k	512	42.665	57.335	64.552	35.448	69.13	1.000	bicubic	-43.439	-33.206	-89
230	efficientvit_l3.r224_in1k	224	42.642	57.358	62.306	37.694	246.04	1.000	bicubic	-43.170	-34.904	-60
231	xcit_large_24_p8_224.fb_dist_in1k	224	42.561	57.439	63.114	36.886	188.93	1.000	bicubic	-42.841	-34.304	-21
232	caformer_b36.sail_in1k	224	42.469	57.531	62.866	37.134	98.75	1.000	bicubic	-43.033	-34.450	-36
233	caformer_b36.sail_in1k_384	384	42.443	57.557	62.821	37.179	98.75	1.000	bicubic	-43.961	-35.003	-121
234	maxvit_large_tf_224.in1k	224	42.432	57.568	63.391	36.609	211.79	0.950	bicubic	-42.496	-33.587	+30
235	tf_efficientnet_b8.ra_in1k	672	42.422	57.578	64.833	35.167	87.41	0.954	bicubic	-42.932	-32.557	-21
236	cait_m36_384.fb_dist_in1k	384	42.396	57.604	63.354	36.646	271.22	1.000	bicubic	-43.668	-34.378	-91
237	volo_d4_224.sail_in1k	224	42.308	57.692	62.992	37.008	192.96	0.960	bicubic	-43.564	-34.464	-75
238	convnextv2_tiny.fcmae_ft_in22k_in1k	224	42.294	57.706	64.485	35.515	28.64	1.000	bicubic	-41.572	-32.531	+165
239	hgnetv2_b3.ssld_stage1_in22k_in1k	224	42.221	57.779	64.281	35.719	16.29	1.000	bicubic	-40.409	-32.031	+357
240	efficientvit_l2.r288_in1k	288	42.101	57.899	61.444	38.556	63.71	1.000	bicubic	-43.513	-35.916	-54
241	efficientvit_l3.r256_in1k	256	42.066	57.934	61.554	38.446	246.04	1.000	bicubic	-43.888	-35.784	-82
242	hiera_base_plus_224.mae_in1k_ft_in1k	224	42.064	57.936	61.738	38.262	69.90	0.900	bicubic	-43.070	-35.420	-5
243	caformer_s18.sail_in22k_ft_in1k_384	384	42.031	57.969	64.772	35.228	26.34	1.000	bicubic	-43.393	-32.940	-36
244	regnetz_e8.ra3_in1k	256	41.997	58.003	63.819	36.181	57.70	1.000	bicubic	-42.445	-33.197	+78
245	deit3_small_patch16_384.fb_in22k_ft_in1k	384	41.964	58.036	64.560	35.440	22.21	1.000	bicubic	-42.878	-32.922	+30
246	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	384	41.907	58.093	63.721	36.279	39.03	0.950	bicubic	-43.647	-33.919	-55
247	convnextv2_base.fcmae_ft_in1k	224	41.907	58.093	62.245	37.755	88.72	1.000	bicubic	-42.961	-34.815	+26
248	maxvit_tiny_tf_512.in1k	512	41.868	58.132	63.578	36.422	31.05	1.000	bicubic	-43.792	-34.014	-66
249	efficientnetv2_rw_m.agc_in1k	320	41.854	58.146	62.640	37.360	53.24	1.000	bicubic	-42.458	-34.232	+93
250	caformer_s36.sail_in1k_384	384	41.771	58.229	62.770	37.230	39.30	1.000	bicubic	-43.985	-34.898	-73
251	hgnetv2_b4.ssld_stage1_in22k_in1k	288	41.705	58.295	63.731	36.269	19.80	1.000	bicubic	-41.743	-33.191	+227
252	hgnet_tiny.ssld_in1k	224	41.655	58.345	63.546	36.454	14.74	1.000	bicubic	-40.139	-32.456	+477
253	swin_small_patch4_window7_224.ms_in22k_ft_in1k	224	41.602	58.398	64.554	35.446	49.61	0.900	bicubic	-41.728	-32.442	+250
254	regnety_2560.seer_ft_in1k	384	41.565	58.435	64.916	35.084	1,282.60	1.000	bicubic	-43.575	-32.528	-18
255	convformer_s18.sail_in22k_ft_in1k_384	384	41.559	58.441	63.354	36.646	26.77	1.000	bicubic	-43.467	-34.226	-2
256	tf_efficientnetv2_s.in21k_ft_in1k	300	41.524	58.476	64.594	35.407	21.46	1.000	bicubic	-41.848	-32.116	+236
257	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	224	41.500	58.500	61.477	38.523	41.72	0.950	bicubic	-43.440	-35.489	+3
258	caformer_m36.sail_in1k_384	384	41.486	58.514	61.534	38.466	56.20	1.000	bicubic	-44.674	-36.282	-123
259	tf_efficientnet_b7.ap_in1k	600	41.449	58.551	62.872	37.128	66.35	0.949	bicubic	-43.683	-34.384	-21
260	tf_efficientnet_b7.ra_in1k	600	41.447	58.553	63.055	36.945	66.35	0.949	bicubic	-43.483	-34.145	+3
261	hgnetv2_b3.ssld_stage2_ft_in1k	288	41.414	58.586	63.690	36.310	16.29	1.000	bicubic	-42.166	-33.124	+194
262	tf_efficientnet_b5.ap_in1k	456	41.392	58.608	62.125	37.875	30.39	0.934	bicubic	-42.862	-34.853	+89
263	dm_nfnet_f5.dm_in1k	544	41.331	58.669	62.015	37.985	377.21	0.954	bicubic	-44.769	-35.671	-121
264	regnety_120.sw_in12k_ft_in1k	288	41.323	58.677	63.204	36.796	51.82	1.000	bicubic	-44.119	-34.368	-62
265	dm_nfnet_f3.dm_in1k	416	41.306	58.694	62.135	37.865	254.92	0.940	bicubic	-44.366	-35.443	-85
266	resnetv2_152x4_bit.goog_in21k_ft_in1k	480	41.282	58.718	64.342	35.658	936.53	1.000	bilinear	-43.642	-33.116	0
267	caformer_s18.sail_in22k_ft_in1k	224	41.205	58.795	63.900	36.100	26.34	1.000	bicubic	-42.881	-33.288	+102
268	dm_nfnet_f6.dm_in1k	576	41.182	58.818	62.831	37.169	438.36	0.956	bicubic	-45.182	-35.209	-150
269	convnext_large.fb_in1k	224	41.142	58.858	61.182	38.818	197.77	1.000	bicubic	-43.118	-35.804	+80
270	tf_efficientnet_b6.ap_in1k	528	41.111	58.889	62.383	37.617	43.04	0.942	bicubic	-43.679	-34.755	+9
271	convnext_tiny.in12k_ft_in1k_384	384	41.091	58.909	62.825	37.175	28.59	1.000	bicubic	-44.063	-34.809	-38
272	xcit_large_24_p16_384.fb_dist_in1k	384	41.042	58.958	61.267	38.733	189.10	1.000	bicubic	-44.734	-36.261	-97
273	efficientvit_l2.r224_in1k	224	41.023	58.977	60.705	39.295	63.71	1.000	bicubic	-44.021	-36.393	-24
274	tf_efficientnetv2_s.in21k_ft_in1k	384	40.995	59.005	63.849	36.151	21.46	1.000	bicubic	-43.337	-33.425	+65
275	tf_efficientnetv2_l.in1k	480	40.991	59.009	62.025	37.975	118.52	1.000	bicubic	-44.673	-35.453	-94
276	xcit_large_24_p16_224.fb_dist_in1k	224	40.979	59.021	61.316	38.684	189.10	1.000	bicubic	-43.957	-35.812	-15
277	maxvit_base_tf_224.in1k	224	40.893	59.107	61.204	38.796	119.47	0.950	bicubic	-43.979	-35.798	-6
278	maxvit_small_tf_384.in1k	384	40.854	59.146	62.080	37.920	69.02	1.000	bicubic	-44.680	-35.378	-85
279	edgenext_base.in21k_ft_in1k	320	40.842	59.158	61.764	38.236	18.51	1.000	bicubic	-43.234	-35.444	+91
280	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	384	40.730	59.270	62.226	37.774	32.59	1.000	bicubic	-43.596	-34.820	+60
281	resnetrs350.tf_in1k	288	40.724	59.276	61.583	38.417	163.96	1.000	bicubic	-43.580	-35.353	+62
282	hrnet_w18_ssld.paddle_in1k	224	40.696	59.304	62.458	37.542	21.30	1.000	bilinear	-40.256	-32.974	+557
283	efficientvit_l2.r256_in1k	256	40.655	59.345	60.555	39.445	63.71	1.000	bicubic	-44.713	-36.701	-71
284	ecaresnet269d.ra2_in1k	320	40.586	59.414	61.432	38.568	102.09	1.000	bicubic	-44.296	-35.774	-15
285	eca_nfnet_l2.ra3_in1k	320	40.545	59.455	61.762	38.238	56.72	1.000	bicubic	-43.863	-35.298	+43
286	xcit_medium_24_p8_224.fb_dist_in1k	224	40.500	59.500	60.512	39.488	84.32	1.000	bicubic	-44.576	-36.762	-39
287	vit_small_r26_s32_384.augreg_in21k_ft_in1k	384	40.474	59.526	62.760	37.240	36.47	1.000	bicubic	-43.600	-34.554	+84
288	tf_efficientnetv2_m.in1k	384	40.472	59.528	61.807	38.193	54.14	1.000	bicubic	-44.086	-35.249	+14
289	tf_efficientnet_b4.ap_in1k	380	40.472	59.528	61.770	38.230	19.34	0.922	bicubic	-42.778	-34.620	+218
290	rexnetr_300.sw_in12k_ft_in1k	224	40.433	59.567	63.340	36.660	34.81	1.000	bicubic	-43.587	-33.786	+91
291	hgnetv2_b3.ssld_stage1_in22k_in1k	288	40.392	59.608	62.481	37.519	16.29	1.000	bicubic	-42.722	-34.231	+235
292	deit3_base_patch16_224.fb_in1k	224	40.382	59.618	60.166	39.834	86.59	0.900	bicubic	-43.412	-36.416	+125
293	inception_next_base.sail_in1k_384	384	40.341	59.659	60.793	39.207	86.67	1.000	bicubic	-44.861	-36.631	-66
294	edgenext_base.in21k_ft_in1k	256	40.323	59.677	61.322	38.678	18.51	1.000	bicubic	-43.111	-35.520	+186
295	convformer_s18.sail_in22k_ft_in1k	224	40.309	59.691	61.724	38.276	26.77	1.000	bicubic	-43.453	-35.319	+130
296	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	256	40.290	59.710	61.662	38.338	38.86	0.950	bicubic	-44.160	-35.556	+20
297	flexivit_large.600ep_in1k	240	40.268	59.732	60.351	39.649	304.36	0.950	bicubic	-45.262	-37.143	-103
298	convnext_tiny.in12k_ft_in1k	224	40.254	59.746	61.799	38.201	28.59	1.000	bicubic	-43.742	-35.289	+84
299	hgnet_tiny.ssld_in1k	288	40.240	59.760	61.831	38.169	14.74	1.000	bicubic	-42.284	-34.311	+317
300	deit3_small_patch16_224.fb_in22k_ft_in1k	224	40.209	59.791	61.852	38.148	22.06	1.000	bicubic	-42.873	-34.928	+232
301	vit_base_patch16_224_miil.in21k_ft_in1k	224	40.180	59.820	60.891	39.109	86.54	0.875	bilinear	-44.092	-36.059	+46
302	regnetz_e8.ra3_in1k	320	40.136	59.864	61.316	38.684	57.70	1.000	bicubic	-44.898	-35.954	-50
303	efficientnet_b4.ra2_in1k	320	40.129	59.871	61.098	38.902	19.34	1.000	bicubic	-42.623	-35.224	+272
304	maxvit_rmlp_small_rw_224.sw_in1k	224	40.121	59.879	59.480	40.520	64.90	0.900	bicubic	-44.363	-37.746	+7
305	xcit_medium_24_p8_384.fb_dist_in1k	384	40.111	59.889	60.540	39.460	84.32	1.000	bicubic	-45.731	-37.062	-139
306	rdnet_base.nv_in1k	224	40.109	59.891	60.190	39.810	87.45	0.900	bicubic	-44.251	-36.686	+31
307	efficientvit_l1.r224_in1k	224	40.103	59.897	59.510	40.490	52.65	1.000	bicubic	-44.353	-37.348	+7
308	flexivit_large.1200ep_in1k	240	40.087	59.913	60.634	39.366	304.36	0.950	bicubic	-45.557	-36.912	-125
309	hiera_base_224.mae_in1k_ft_in1k	224	40.058	59.942	60.777	39.223	51.52	0.900	bicubic	-44.468	-36.263	-3
310	maxvit_tiny_tf_384.in1k	384	40.050	59.950	60.976	39.024	30.98	1.000	bicubic	-45.052	-36.406	-69
311	flexivit_large.300ep_in1k	240	40.026	59.974	59.986	40.014	304.36	0.950	bicubic	-45.256	-37.418	-94
312	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	480	39.999	60.001	61.717	38.283	32.59	1.000	bicubic	-44.781	-35.625	-32
313	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	448	39.987	60.013	61.080	38.920	32.59	1.000	bicubic	-44.601	-36.050	-15
314	convnextv2_tiny.fcmae_ft_in22k_in1k	288	39.958	60.042	61.819	38.181	28.64	1.000	bicubic	-44.464	-35.435	+13
315	xcit_medium_24_p16_384.fb_dist_in1k	384	39.938	60.062	60.211	39.789	84.40	1.000	bicubic	-45.496	-37.197	-111
316	dm_nfnet_f4.dm_in1k	512	39.924	60.076	60.422	39.578	316.07	0.951	bicubic	-45.936	-37.230	-153
317	rdnet_small.nv_in1k	224	39.849	60.151	60.290	39.710	50.44	0.900	bicubic	-43.810	-36.424	+125
318	convnext_tiny.fb_in22k_ft_in1k_384	384	39.798	60.202	61.530	38.470	28.59	1.000	bicubic	-44.300	-35.252	+48
319	vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k	256	39.796	60.204	59.803	40.197	63.95	0.950	bicubic	-44.526	-37.009	+22
320	cait_s36_384.fb_dist_in1k	384	39.769	60.231	60.465	39.535	68.37	1.000	bicubic	-45.689	-37.015	-119
321	convnextv2_base.fcmae_ft_in1k	288	39.761	60.239	59.846	40.154	88.72	1.000	bicubic	-45.729	-37.534	-122
322	hgnetv2_b2.ssld_stage1_in22k_in1k	224	39.730	60.270	61.666	38.334	11.22	1.000	bicubic	-40.864	-33.780	+569
323	volo_d3_448.sail_in1k	448	39.704	60.296	59.769	40.231	86.63	1.000	bicubic	-46.808	-37.941	-218
324	efficientnetv2_rw_m.agc_in1k	416	39.669	60.331	59.700	40.300	53.24	1.000	bicubic	-45.157	-37.446	-47
325	efficientvit_l2.r384_in1k	384	39.655	60.345	59.467	40.533	63.71	1.000	bicubic	-46.329	-38.043	-170
326	xception65.ra3_in1k	299	39.651	60.349	60.931	39.069	39.92	0.940	bicubic	-43.533	-35.667	+185
327	hgnetv2_b2.ssld_stage2_ft_in1k	224	39.647	60.353	61.339	38.661	11.22	1.000	bicubic	-41.929	-34.535	+421
328	caformer_m36.sail_in1k	224	39.612	60.388	58.700	41.300	56.20	1.000	bicubic	-45.628	-38.506	-105
329	ecaresnet269d.ra2_in1k	352	39.598	60.402	60.355	39.645	102.09	1.000	bicubic	-45.374	-36.869	-71
330	resnetrs420.tf_in1k	320	39.555	60.445	60.302	39.698	191.89	1.000	bicubic	-44.697	-36.564	+22
331	convformer_b36.sail_in1k	224	39.547	60.453	58.085	41.915	99.88	1.000	bicubic	-45.283	-38.865	-55
332	caformer_s36.sail_in1k	224	39.533	60.467	59.793	40.207	39.30	1.000	bicubic	-45.011	-37.217	-29
333	tf_efficientnet_b3.ns_jft_in1k	300	39.486	60.514	61.426	38.574	12.23	0.904	bicubic	-44.578	-35.456	+40
334	volo_d3_224.sail_in1k	224	39.484	60.516	59.875	40.125	86.33	0.960	bicubic	-45.958	-37.401	-131
335	convnext_large.fb_in1k	288	39.466	60.534	59.235	40.765	197.77	1.000	bicubic	-45.396	-37.975	-62
336	deit3_base_patch16_384.fb_in1k	384	39.421	60.579	58.948	41.052	86.88	1.000	bicubic	-45.665	-38.300	-90
337	convnext_base.fb_in1k	224	39.417	60.583	59.370	40.630	88.59	1.000	bicubic	-44.471	-37.440	+59
338	convnext_tiny.fb_in22k_ft_in1k	224	39.411	60.589	61.373	38.627	28.59	1.000	bicubic	-43.605	-35.371	+201
339	xcit_small_24_p8_224.fb_dist_in1k	224	39.323	60.677	59.418	40.582	47.63	1.000	bicubic	-45.553	-37.782	-69
340	xcit_medium_24_p16_224.fb_dist_in1k	224	39.295	60.705	59.480	40.520	84.40	1.000	bicubic	-44.993	-37.456	+5
341	seresnext101d_32x8d.ah_in1k	224	39.291	60.709	59.337	40.663	93.59	1.000	bicubic	-44.423	-37.225	+89
342	inception_next_base.sail_in1k	224	39.272	60.728	59.264	40.736	86.67	0.950	bicubic	-44.826	-37.874	+25
343	convformer_m36.sail_in1k	224	39.242	60.758	57.645	42.355	57.05	1.000	bicubic	-45.244	-39.221	-34
344	coat_lite_medium_384.in1k	384	39.189	60.811	59.294	40.706	44.57	1.000	bicubic	-45.705	-38.082	-76
345	efficientnetv2_rw_s.ra2_in1k	288	39.162	60.838	59.589	40.411	23.94	1.000	bicubic	-43.726	-36.739	+209
346	tiny_vit_11m_224.dist_in22k_ft_in1k	224	39.138	60.862	61.043	38.957	11.00	0.950	bicubic	-44.094	-35.585	+162
347	efficientnet_b4.ra2_in1k	384	39.132	60.868	59.645	40.355	19.34	1.000	bicubic	-44.336	-37.136	+127
348	vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k	256	39.097	60.903	58.818	41.182	60.23	0.950	bicubic	-44.813	-37.868	+43
349	hrnet_w18_ssld.paddle_in1k	288	39.058	60.942	60.642	39.358	21.30	1.000	bilinear	-42.992	-35.604	+342
350	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	544	39.042	60.958	60.540	39.460	32.59	1.000	bicubic	-45.948	-36.900	-93
351	vit_base_patch16_rope_reg1_gap_256.sbb_in1k	256	39.042	60.958	58.630	41.370	86.43	0.950	bicubic	-44.848	-38.044	+44
352	xcit_small_24_p8_384.fb_dist_in1k	384	39.028	60.972	59.215	40.785	47.63	1.000	bicubic	-46.554	-38.357	-163
353	resnet200d.ra2_in1k	256	39.026	60.974	59.695	40.305	64.69	1.000	bicubic	-44.328	-36.799	+143
354	tresnet_v2_l.miil_in21k_ft_in1k	224	39.018	60.982	59.482	40.518	46.17	0.875	bilinear	-44.884	-37.014	+39
355	maxvit_small_tf_224.in1k	224	39.014	60.986	59.313	40.687	68.93	0.950	bicubic	-45.436	-37.545	-37
356	dm_nfnet_f2.dm_in1k	256	39.002	60.998	59.146	40.854	193.78	0.920	bicubic	-45.090	-37.760	+12
357	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	384	38.985	61.015	62.499	37.501	236.34	1.000	bicubic	-44.897	-34.617	+42
358	convformer_b36.sail_in1k_384	384	38.944	61.056	58.398	41.602	99.88	1.000	bicubic	-46.834	-39.494	-184
359	convnext_tiny.in12k_ft_in1k	288	38.883	61.117	59.875	40.125	28.59	1.000	bicubic	-45.565	-37.453	-40
360	coatnet_rmlp_2_rw_224.sw_in1k	224	38.869	61.131	58.079	41.921	73.88	0.950	bicubic	-45.733	-38.667	-64
361	resnet152d.ra2_in1k	256	38.857	61.143	59.649	40.351	60.21	1.000	bicubic	-44.183	-36.721	+174
362	vit_base_patch32_384.augreg_in21k_ft_in1k	384	38.849	61.151	60.363	39.637	88.30	1.000	bicubic	-44.503	-36.469	+137
363	nextvit_large.bd_in1k_384	384	38.828	61.172	59.809	40.191	57.87	1.000	bicubic	-46.106	-37.489	-101
364	regnetz_d32.ra3_in1k	256	38.765	61.235	60.033	39.967	27.58	0.950	bicubic	-44.669	-36.603	+116
365	tf_efficientnetv2_m.in1k	480	38.765	61.235	59.850	40.150	54.14	1.000	bicubic	-46.447	-37.516	-138
366	resnetaa101d.sw_in12k_ft_in1k	224	38.745	61.255	59.628	40.372	44.57	1.000	bicubic	-44.811	-37.130	+90
367	hgnetv2_b2.ssld_stage1_in22k_in1k	288	38.739	61.261	60.298	39.702	11.22	1.000	bicubic	-42.717	-35.712	+402
368	efficientvit_b3.r288_in1k	288	38.714	61.286	58.482	41.518	48.65	1.000	bicubic	-45.442	-38.250	-7
369	eca_nfnet_l2.ra3_in1k	384	38.708	61.292	59.502	40.498	56.72	1.000	bicubic	-46.002	-37.754	-82
370	efficientvit_b3.r256_in1k	256	38.682	61.318	58.651	41.349	48.65	1.000	bicubic	-45.122	-38.457	+45
371	xcit_small_12_p8_384.fb_dist_in1k	384	38.669	61.331	58.997	41.003	26.21	1.000	bicubic	-46.404	-38.265	-123
372	davit_small.msft_in1k	224	38.643	61.357	58.195	41.805	49.75	0.950	bicubic	-45.623	-38.735	-24
373	resnetrs270.tf_in1k	256	38.608	61.392	59.298	40.702	129.86	1.000	bicubic	-44.986	-37.318	+80
374	regnetz_040_h.ra3_in1k	256	38.596	61.404	59.256	40.744	28.94	1.000	bicubic	-45.172	-37.436	+48
375	vit_medium_patch16_rope_reg1_gap_256.sbb_in1k	256	38.556	61.444	58.800	41.200	38.74	0.950	bicubic	-45.255	-38.022	+36
376	convformer_m36.sail_in1k_384	384	38.553	61.447	57.728	42.272	57.05	1.000	bicubic	-47.027	-39.820	-186
377	mvitv2_small.fb_in1k	224	38.545	61.455	58.119	41.881	34.87	0.900	bicubic	-45.227	-38.439	+44
378	seresnextaa101d_32x8d.ah_in1k	224	38.541	61.459	58.606	41.394	93.59	1.000	bicubic	-45.225	-38.042	+46
379	xcit_small_24_p16_384.fb_dist_in1k	384	38.505	61.495	58.404	41.596	47.67	1.000	bicubic	-46.597	-38.914	-137
380	davit_base.msft_in1k	224	38.503	61.497	57.515	42.485	87.95	0.950	bicubic	-46.147	-39.503	-89
381	vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	256	38.470	61.530	59.388	40.612	22.52	0.950	bicubic	-45.332	-37.570	+35
382	mvitv2_base.fb_in1k	224	38.462	61.538	57.920	42.080	51.47	0.900	bicubic	-45.988	-38.908	-65
383	xcit_small_12_p8_224.fb_dist_in1k	224	38.454	61.546	58.836	41.164	26.21	1.000	bicubic	-45.796	-38.038	-30
384	rexnetr_300.sw_in12k_ft_in1k	288	38.413	61.587	60.569	39.431	34.81	1.000	bicubic	-46.175	-36.711	-87
385	fastvit_ma36.apple_dist_in1k	256	38.393	61.607	58.494	41.506	44.07	0.950	bicubic	-46.213	-38.512	-91
386	convformer_s36.sail_in1k	224	38.393	61.607	57.718	42.282	40.01	1.000	bicubic	-45.679	-39.038	-13
387	hgnetv2_b2.ssld_stage2_ft_in1k	288	38.368	61.632	59.828	40.172	11.22	1.000	bicubic	-43.992	-36.576	+255
388	tf_efficientnet_b5.ra_in1k	456	38.350	61.650	59.930	40.070	30.39	0.934	bicubic	-45.478	-36.836	+20
389	mobilenetv4_hybrid_large.ix_e600_r384_in1k	384	38.340	61.660	58.913	41.087	37.76	1.000	bicubic	-45.642	-37.812	-6
390	seresnet152d.ra2_in1k	256	38.321	61.679	58.687	41.313	66.84	1.000	bicubic	-45.319	-37.853	+56
391	dm_nfnet_f1.dm_in1k	224	38.283	61.717	58.132	41.868	132.63	0.910	bicubic	-45.169	-38.500	+86
392	deit_base_distilled_patch16_384.fb_in1k	384	38.244	61.756	57.730	42.270	87.63	1.000	bicubic	-47.184	-39.598	-186
393	xcit_large_24_p8_224.fb_in1k	224	38.130	61.870	57.877	42.123	188.93	1.000	bicubic	-46.256	-39.357	-59
394	vit_base_patch16_384.orig_in21k_ft_in1k	384	38.128	61.872	60.435	39.565	86.86	1.000	bicubic	-46.080	-36.785	-37
395	convnext_small.fb_in1k	224	38.097	61.903	58.415	41.585	50.22	1.000	bicubic	-45.051	-38.087	+124
396	resnetv2_152x2_bit.goog_in21k_ft_in1k	448	38.006	61.994	61.182	38.818	236.34	1.000	bilinear	-46.504	-36.252	-89
397	repvit_m2_3.dist_450e_in1k	224	37.995	62.005	58.174	41.826	23.69	0.950	bicubic	-45.748	-38.218	+31
398	pvt_v2_b4.in1k	224	37.953	62.047	58.219	41.781	62.56	0.900	bicubic	-45.759	-38.451	+34
399	cait_s24_384.fb_dist_in1k	384	37.916	62.084	58.069	41.931	47.06	1.000	bicubic	-47.126	-39.280	-149
400	regnetz_040.ra3_in1k	256	37.904	62.096	57.930	42.070	27.12	1.000	bicubic	-45.756	-38.754	+43
401	coat_lite_medium.in1k	224	37.896	62.104	57.824	42.176	44.57	0.900	bicubic	-45.706	-38.890	+50
402	convnextv2_nano.fcmae_ft_in22k_in1k_384	384	37.892	62.108	59.449	40.551	15.62	1.000	bicubic	-45.470	-37.291	+91
403	resnet152d.ra2_in1k	320	37.873	62.127	58.380	41.620	60.21	1.000	bicubic	-45.811	-38.370	+37
404	nextvit_large.bd_in1k	224	37.859	62.141	58.229	41.771	57.87	0.950	bicubic	-45.783	-38.455	+41
405	convformer_s36.sail_in1k_384	384	37.841	62.159	57.484	42.516	40.01	1.000	bicubic	-47.539	-39.986	-194
406	hiera_small_224.mae_in1k_ft_in1k	224	37.774	62.226	57.510	42.490	35.01	0.900	bicubic	-46.112	-39.171	-9
407	resnetrs350.tf_in1k	384	37.753	62.247	58.166	41.834	163.96	1.000	bicubic	-46.971	-38.808	-121
408	resnetrs420.tf_in1k	416	37.749	62.251	58.221	41.779	191.89	1.000	bicubic	-47.265	-38.895	-154
409	deit3_medium_patch16_224.fb_in1k	224	37.747	62.253	57.099	42.901	38.85	0.900	bicubic	-45.339	-39.187	+122
410	xcit_small_24_p16_224.fb_dist_in1k	224	37.721	62.279	57.356	42.644	47.67	1.000	bicubic	-46.157	-39.378	-9
411	caformer_s18.sail_in1k_384	384	37.678	62.322	57.600	42.400	26.34	1.000	bicubic	-47.360	-39.756	-160
412	vit_betwixt_patch16_reg1_gap_256.sbb_in1k	256	37.657	62.343	56.779	43.221	60.40	0.950	bicubic	-45.988	-39.768	+32
413	mobilenetv4_hybrid_large.e600_r384_in1k	384	37.641	62.359	58.123	41.877	37.76	1.000	bicubic	-46.295	-38.613	-26
414	regnety_640.seer_ft_in1k	384	37.623	62.377	59.842	40.158	281.38	1.000	bicubic	-46.293	-37.078	-24
415	xcit_small_12_p16_384.fb_dist_in1k	384	37.607	62.393	57.779	42.221	26.25	1.000	bicubic	-47.129	-39.357	-131
416	regnetz_d8_evos.ch_in1k	256	37.578	62.422	58.319	41.681	23.46	1.000	bicubic	-45.954	-38.395	+45
417	eca_nfnet_l1.ra2_in1k	256	37.562	62.438	57.918	42.082	41.41	1.000	bicubic	-45.786	-38.764	+83
418	pvt_v2_b5.in1k	224	37.544	62.456	57.250	42.750	81.96	0.900	bicubic	-46.224	-39.382	+5
419	resnet200d.ra2_in1k	320	37.529	62.471	58.305	41.695	64.69	1.000	bicubic	-46.447	-38.515	-35
420	edgenext_base.usi_in1k	256	37.483	62.517	57.798	42.202	18.51	1.000	bicubic	-46.203	-38.842	+19
421	vit_betwixt_patch16_reg4_gap_256.sbb_in1k	256	37.482	62.518	56.983	43.017	60.40	0.950	bicubic	-46.226	-39.635	+13
422	maxvit_rmlp_tiny_rw_256.sw_in1k	256	37.403	62.597	57.185	42.815	29.15	0.950	bicubic	-46.837	-39.599	-67
423	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	224	37.356	62.644	59.465	40.535	236.34	0.875	bicubic	-45.560	-37.111	+127
424	efficientvit_b3.r224_in1k	224	37.354	62.646	57.132	42.868	48.65	0.950	bicubic	-46.090	-39.206	+55
425	regnety_1280.seer_ft_in1k	384	37.344	62.656	59.156	40.844	644.81	1.000	bicubic	-47.084	-37.928	-100
426	convnext_base.fb_in1k	288	37.315	62.685	57.323	42.677	88.59	1.000	bicubic	-47.151	-39.659	-113
427	resnest269e.in1k	416	37.303	62.697	57.480	42.520	110.93	0.928	bicubic	-47.237	-39.510	-123
428	resmlp_big_24_224.fb_in22k_ft_in1k	224	37.240	62.760	58.172	41.828	129.14	0.875	bicubic	-47.148	-38.936	-96
429	vit_small_r26_s32_224.augreg_in21k_ft_in1k	224	37.236	62.764	59.042	40.958	36.43	0.900	bicubic	-44.630	-36.978	+291
430	convnextv2_tiny.fcmae_ft_in1k	224	37.234	62.766	56.981	43.019	28.64	1.000	bicubic	-45.552	-39.355	+140
431	pit_b_distilled_224.in1k	224	37.224	62.776	56.499	43.501	74.79	0.900	bicubic	-46.550	-39.969	-11
432	repvit_m2_3.dist_300e_in1k	224	37.199	62.801	57.205	42.795	23.69	0.950	bicubic	-46.325	-39.327	+30
433	rdnet_tiny.nv_in1k	224	37.181	62.819	57.280	42.720	23.86	0.900	bicubic	-45.643	-38.912	+128
434	cait_s24_224.fb_dist_in1k	224	37.153	62.847	56.718	43.282	46.92	1.000	bicubic	-46.331	-39.868	+35
435	vit_medium_patch16_reg4_gap_256.sbb_in1k	256	37.146	62.854	57.313	42.687	38.88	0.950	bicubic	-46.322	-39.265	+38
436	pvt_v2_b3.in1k	224	37.134	62.866	57.319	42.681	45.24	0.900	bicubic	-45.984	-39.243	+88
437	dm_nfnet_f2.dm_in1k	352	37.132	62.868	56.971	43.029	193.78	0.920	bicubic	-48.042	-40.357	-205
438	mobilenetv4_hybrid_large.ix_e600_r384_in1k	448	37.124	62.876	57.671	42.329	37.76	1.000	bicubic	-47.240	-39.237	-102
439	tiny_vit_21m_224.in1k	224	37.120	62.880	57.435	42.565	21.20	0.950	bicubic	-46.150	-39.167	+66
440	volo_d1_384.sail_in1k	384	37.116	62.884	57.140	42.860	26.78	1.000	bicubic	-48.150	-40.078	-220
441	efficientformer_l7.snap_dist_in1k	224	37.114	62.886	56.908	43.092	82.23	0.950	bicubic	-46.272	-39.630	+50
442	vit_base_patch32_224.augreg_in21k_ft_in1k	224	37.108	62.892	59.286	40.714	88.22	0.900	bicubic	-43.628	-36.284	+428
443	fastvit_sa36.apple_dist_in1k	256	37.108	62.892	57.122	42.878	31.53	0.900	bicubic	-46.924	-39.728	-64
444	resnetaa101d.sw_in12k_ft_in1k	288	37.104	62.896	57.901	42.099	44.57	1.000	bicubic	-47.000	-39.217	-79
445	tf_efficientnet_b3.ap_in1k	300	37.100	62.900	57.272	42.728	12.23	0.904	bicubic	-44.754	-38.336	+276
446	efficientnetv2_rw_s.ra2_in1k	384	37.087	62.913	56.826	43.174	23.94	1.000	bicubic	-46.739	-39.898	-36
447	maxvit_tiny_tf_224.in1k	224	37.067	62.933	56.928	43.072	30.92	0.950	bicubic	-46.353	-39.660	+38
448	seresnext101_32x8d.ah_in1k	224	37.061	62.939	56.061	43.939	93.57	1.000	bicubic	-46.475	-40.281	+12
449	rexnetr_200.sw_in12k_ft_in1k	224	37.004	62.996	58.838	41.162	16.52	1.000	bicubic	-45.534	-37.564	+166
450	regnetz_040_h.ra3_in1k	320	36.996	63.004	57.258	42.742	28.94	1.000	bicubic	-47.514	-39.758	-142
451	swinv2_base_window16_256.ms_in1k	256	36.994	63.006	56.134	43.866	87.92	0.900	bicubic	-47.614	-40.930	-157
452	regnetz_d8.ra3_in1k	256	36.983	63.017	58.459	41.541	23.37	1.000	bicubic	-46.486	-38.163	+20
453	xcit_small_12_p16_224.fb_dist_in1k	224	36.949	63.051	56.729	43.271	26.25	1.000	bicubic	-46.405	-39.723	+45
454	volo_d1_224.sail_in1k	224	36.902	63.098	56.663	43.337	26.63	0.960	bicubic	-47.250	-40.357	-91
455	inception_next_small.sail_in1k	224	36.884	63.116	56.765	43.235	49.37	0.875	bicubic	-46.700	-39.833	-1
456	efficientformerv2_l.snap_dist_in1k	224	36.788	63.212	56.649	43.351	26.32	0.950	bicubic	-46.852	-40.089	-9
457	seresnet152d.ra2_in1k	320	36.782	63.218	56.743	43.257	66.84	1.000	bicubic	-47.558	-40.297	-119
458	ecaresnet101d.miil_in1k	224	36.770	63.230	56.997	43.003	44.57	0.950	bicubic	-45.430	-39.131	+214
459	seresnext101d_32x8d.ah_in1k	288	36.717	63.283	56.444	43.556	93.59	1.000	bicubic	-47.685	-40.478	-130
460	maxxvit_rmlp_small_rw_256.sw_in1k	256	36.692	63.308	56.010	43.990	66.01	0.950	bicubic	-47.948	-41.052	-168
461	resnetrs200.tf_in1k	256	36.654	63.346	56.674	43.326	93.21	1.000	bicubic	-47.228	-40.086	-61
462	volo_d2_224.sail_in1k	224	36.625	63.375	56.476	43.524	58.68	0.960	bicubic	-48.577	-40.710	-233
463	caformer_s18.sail_in1k	224	36.601	63.399	55.843	44.157	26.34	1.000	bicubic	-47.067	-40.677	-22
464	fastvit_ma36.apple_in1k	256	36.578	63.422	56.533	43.467	44.07	0.950	bicubic	-47.306	-40.229	-66
465	xception65p.ra3_in1k	299	36.572	63.428	56.438	43.562	39.82	0.940	bicubic	-46.592	-40.062	+52
466	mobilenetv4_hybrid_large.e600_r384_in1k	448	36.556	63.444	56.721	43.279	37.76	1.000	bicubic	-47.716	-40.077	-120
467	mobilenetv4_conv_large.e600_r384_in1k	384	36.552	63.448	56.560	43.440	32.59	1.000	bicubic	-46.310	-39.770	+90
468	seresnextaa101d_32x8d.ah_in1k	288	36.542	63.458	56.389	43.611	93.59	1.000	bicubic	-48.036	-40.685	-169
469	fastvit_sa36.apple_in1k	256	36.536	63.464	55.994	44.006	31.53	0.900	bicubic	-46.968	-40.636	-4
470	nextvit_base.bd_in1k	224	36.534	63.466	56.490	43.510	44.82	0.950	bicubic	-46.962	-40.156	-4
471	focalnet_base_srf.ms_in1k	224	36.464	63.536	56.201	43.799	88.15	0.900	bicubic	-47.344	-41.083	-58
472	regnetz_d32.ra3_in1k	320	36.428	63.572	57.372	42.628	27.58	0.950	bicubic	-47.602	-39.502	-93
473	resnetv2_101x3_bit.goog_in21k_ft_in1k	448	36.426	63.574	59.062	40.938	387.93	1.000	bilinear	-48.004	-38.318	-149
474	volo_d2_384.sail_in1k	384	36.424	63.576	56.301	43.699	58.87	1.000	bicubic	-49.634	-41.283	-327
475	regnety_160.deit_in1k	224	36.416	63.584	56.476	43.524	83.59	1.000	bicubic	-46.534	-40.042	+72
476	efficientnet_b3.ra2_in1k	320	36.414	63.586	56.834	43.166	12.23	1.000	bicubic	-45.896	-39.305	+175
477	cait_xs24_384.fb_dist_in1k	384	36.413	63.587	56.918	43.082	26.67	1.000	bicubic	-47.651	-39.982	-103
478	deit_base_distilled_patch16_224.fb_in1k	224	36.409	63.591	56.617	43.383	87.34	0.900	bicubic	-46.979	-39.873	+12
479	gcvit_base.in1k	224	36.385	63.615	55.904	44.096	90.32	0.875	bicubic	-48.069	-40.946	-164
480	efficientnet_b3.ra2_in1k	288	36.379	63.621	56.883	43.117	12.23	1.000	bicubic	-45.087	-38.865	+288
481	resnetrs270.tf_in1k	352	36.365	63.635	56.560	43.440	129.86	1.000	bicubic	-48.079	-40.514	-160
482	vit_little_patch16_reg4_gap_256.sbb_in1k	256	36.359	63.641	56.704	43.296	22.52	0.950	bicubic	-46.154	-39.556	+139
483	dm_nfnet_f1.dm_in1k	320	36.356	63.644	55.715	44.285	132.63	0.910	bicubic	-48.340	-41.465	-194
484	convnextv2_nano.fcmae_ft_in22k_in1k	224	36.344	63.656	57.301	42.699	15.62	1.000	bicubic	-45.674	-38.865	+210
485	vit_medium_patch16_reg1_gap_256.sbb_in1k	256	36.304	63.696	56.285	43.715	38.88	0.950	bicubic	-47.154	-40.237	-10
486	tresnet_m.miil_in21k_ft_in1k	224	36.275	63.725	55.806	44.194	31.39	0.875	bilinear	-46.815	-40.306	+43
487	mixer_b16_224.miil_in21k_ft_in1k	224	36.253	63.747	55.961	44.039	59.88	0.875	bilinear	-46.057	-39.753	+165
488	convnext_small.fb_in1k	288	36.251	63.749	55.934	44.066	50.22	1.000	bicubic	-47.453	-40.883	-53
489	convformer_s18.sail_in1k_384	384	36.226	63.774	56.053	43.947	26.77	1.000	bicubic	-48.168	-41.059	-158
490	resnet152.a1h_in1k	224	36.187	63.813	55.741	44.259	60.19	1.000	bicubic	-46.483	-40.311	+96
491	deit3_small_patch16_384.fb_in1k	384	36.165	63.835	55.590	44.410	22.21	1.000	bicubic	-47.263	-41.084	-8
492	mobilenetv4_conv_aa_large.e600_r384_in1k	384	36.133	63.867	56.014	43.986	32.59	1.000	bicubic	-47.001	-40.364	+28
493	mvitv2_tiny.fb_in1k	224	36.120	63.880	55.134	44.866	24.17	0.900	bicubic	-46.288	-41.016	+140
494	focalnet_base_lrf.ms_in1k	224	36.114	63.886	55.597	44.403	88.75	0.900	bicubic	-47.714	-41.017	-85
495	tf_efficientnet_b2.ns_jft_in1k	260	36.098	63.902	57.496	42.504	9.11	0.890	bicubic	-46.314	-38.738	+137
496	resnet101d.ra2_in1k	256	36.086	63.914	55.729	44.271	44.57	1.000	bicubic	-46.234	-40.339	+154
497	regnetz_040.ra3_in1k	320	36.069	63.931	55.755	44.245	27.12	1.000	bicubic	-48.187	-41.179	-147
498	regnety_320.seer_ft_in1k	384	36.047	63.953	58.467	41.533	145.05	1.000	bicubic	-47.287	-38.245	+4
499	mobilenetv4_conv_large.e600_r384_in1k	448	35.955	64.045	56.014	43.986	32.59	1.000	bicubic	-47.463	-40.598	-13
500	resnest200e.in1k	320	35.937	64.063	55.869	44.131	70.20	0.909	bicubic	-47.935	-41.007	-98
501	nextvit_base.bd_in1k_384	384	35.933	64.067	56.218	43.782	44.82	1.000	bicubic	-48.793	-41.006	-216
502	resnetrs152.tf_in1k	256	35.878	64.122	55.421	44.579	86.62	1.000	bicubic	-47.006	-40.855	+53
503	resnet18.fb_swsl_ig1b_ft_in1k	224	35.862	64.138	58.461	41.539	11.69	0.875	bilinear	-37.426	-33.293	+856
504	dm_nfnet_f0.dm_in1k	192	35.858	64.142	56.523	43.477	71.49	0.900	bicubic	-45.580	-39.151	+269
505	eca_nfnet_l1.ra2_in1k	320	35.851	64.149	55.934	44.066	41.41	1.000	bicubic	-48.199	-41.101	-130
506	sequencer2d_l.in1k	224	35.831	64.169	55.715	44.285	54.30	0.875	bicubic	-47.563	-40.781	-17
507	vit_base_patch16_224.orig_in21k_ft_in1k	224	35.784	64.216	57.395	42.605	86.57	0.900	bicubic	-46.002	-38.728	+223
508	gcvit_small.in1k	224	35.780	64.220	54.908	45.092	51.09	0.875	bicubic	-48.128	-41.752	-116
509	vit_relpos_medium_patch16_cls_224.sw_in1k	224	35.727	64.273	54.941	45.059	38.76	0.900	bicubic	-46.845	-41.135	+104
510	nfnet_l0.ra2_in1k	224	35.666	64.334	56.739	43.261	35.07	1.000	bicubic	-46.182	-39.293	+212
511	regnety_080.ra3_in1k	224	35.613	64.387	55.660	44.340	39.18	1.000	bicubic	-47.485	-40.828	+17
512	convnext_tiny_hnf.a2h_in1k	224	35.605	64.395	54.163	45.837	28.59	1.000	bicubic	-46.427	-41.609	+181
513	xcit_small_12_p8_224.fb_in1k	224	35.587	64.413	55.619	44.381	26.21	1.000	bicubic	-47.769	-40.855	-18
514	flexivit_base.1200ep_in1k	240	35.519	64.481	53.833	46.167	86.59	0.950	bicubic	-49.169	-43.187	-224
515	xcit_small_24_p8_224.fb_in1k	224	35.517	64.484	54.780	45.220	47.63	1.000	bicubic	-48.337	-41.856	-111
516	coat_small.in1k	224	35.515	64.485	55.177	44.823	21.69	0.900	bicubic	-46.861	-41.037	+124
517	vit_small_patch16_384.augreg_in21k_ft_in1k	384	35.511	64.489	57.557	42.443	22.20	1.000	bicubic	-48.293	-38.953	-103
518	xcit_large_24_p16_224.fb_in1k	224	35.501	64.499	54.762	45.238	189.10	1.000	bicubic	-47.389	-41.120	+35
519	tf_efficientnet_b5.aa_in1k	456	35.475	64.525	56.199	43.801	30.39	0.934	bicubic	-48.221	-40.515	-82
520	regnetz_c16.ra3_in1k	256	35.473	64.527	56.554	43.446	13.46	1.000	bicubic	-46.629	-39.508	+163
521	regnetz_d8_evos.ch_in1k	320	35.464	64.537	55.770	44.230	23.46	1.000	bicubic	-48.688	-41.004	-159
522	swinv2_base_window8_256.ms_in1k	256	35.464	64.537	54.635	45.365	87.92	0.900	bicubic	-48.782	-42.267	-168
523	xcit_medium_24_p8_224.fb_in1k	224	35.444	64.556	54.837	45.163	84.32	1.000	bicubic	-48.298	-41.805	-94
524	gc_efficientnetv2_rw_t.agc_in1k	224	35.436	64.564	55.212	44.788	13.68	1.000	bicubic	-45.832	-40.362	+274
525	swinv2_small_window16_256.ms_in1k	256	35.422	64.578	54.642	45.358	49.73	0.900	bicubic	-48.794	-42.231	-169
526	dm_nfnet_f0.dm_in1k	256	35.410	64.590	55.525	44.475	71.49	0.900	bicubic	-48.062	-41.043	-55
527	efficientnetv2_rw_t.ra2_in1k	224	35.391	64.609	54.986	45.014	13.65	1.000	bicubic	-45.983	-40.468	+255
528	resnest101e.in1k	256	35.383	64.617	55.786	44.214	48.28	0.875	bilinear	-47.533	-40.524	+23
529	resnet152.a1h_in1k	288	35.353	64.647	54.656	45.344	60.19	1.000	bicubic	-48.141	-41.866	-62
530	convit_base.fb_in1k	224	35.322	64.678	54.941	45.059	86.54	0.875	bicubic	-46.972	-40.997	+126
531	efficientformer_l3.snap_dist_in1k	224	35.292	64.707	54.497	45.503	31.41	0.950	bicubic	-47.271	-41.745	+83
532	focalnet_small_lrf.ms_in1k	224	35.279	64.721	54.922	45.078	50.34	0.900	bicubic	-48.229	-41.664	-68
533	convformer_s18.sail_in1k	224	35.255	64.745	54.609	45.391	26.77	1.000	bicubic	-47.713	-41.635	+13
534	xcit_tiny_24_p8_224.fb_dist_in1k	224	35.241	64.759	55.271	44.729	12.11	1.000	bicubic	-47.339	-40.913	+75
535	edgenext_base.usi_in1k	320	35.241	64.759	55.140	44.860	18.51	1.000	bicubic	-48.725	-41.630	-149
536	convnextv2_nano.fcmae_ft_in1k	224	35.239	64.761	55.326	44.674	15.62	1.000	bicubic	-46.527	-40.364	+198
537	fastvit_sa24.apple_dist_in1k	256	35.206	64.794	54.646	45.354	21.55	0.900	bicubic	-48.156	-41.930	-43
538	flexivit_base.600ep_in1k	240	35.155	64.845	53.676	46.324	86.59	0.950	bicubic	-49.405	-43.234	-237
539	convnext_tiny.fb_in1k	224	35.123	64.876	54.986	45.014	28.59	1.000	bicubic	-46.890	-40.876	+157
540	twins_svt_large.in1k	224	35.100	64.900	54.721	45.279	99.27	0.900	bicubic	-48.590	-41.893	-102
541	regnety_032.ra_in1k	224	35.080	64.920	55.155	44.845	19.44	1.000	bicubic	-46.828	-40.809	+173
542	repvgg_b3g4.rvgg_in1k	224	35.078	64.922	54.749	45.251	83.83	0.875	bilinear	-45.146	-40.349	+406
543	convnextv2_tiny.fcmae_ft_in1k	288	35.053	64.947	54.206	45.794	28.64	1.000	bicubic	-48.423	-42.512	-73
544	repvgg_b3.rvgg_in1k	224	35.029	64.971	54.515	45.485	123.09	0.875	bilinear	-45.489	-40.739	+355
545	regnetz_d8.ra3_in1k	320	35.019	64.981	55.963	44.037	23.37	1.000	bicubic	-49.023	-41.039	-169
546	repvit_m1_5.dist_450e_in1k	224	35.002	64.998	54.297	45.703	14.64	0.950	bicubic	-47.518	-41.813	+73
547	rexnetr_200.sw_in12k_ft_in1k	288	34.960	65.040	55.914	44.086	16.52	1.000	bicubic	-48.208	-40.740	-33
548	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	384	34.947	65.053	55.702	44.298	11.07	1.000	bicubic	-47.953	-40.858	+4
549	repvgg_d2se.rvgg_in1k	320	34.927	65.073	53.524	46.476	133.33	1.000	bilinear	-48.627	-43.140	-92
550	resnext101_64x4d.c1_in1k	224	34.917	65.083	53.739	46.261	83.46	1.000	bicubic	-47.515	-42.194	+81
551	xcit_tiny_24_p8_384.fb_dist_in1k	384	34.900	65.100	55.116	44.884	12.11	1.000	bicubic	-48.885	-41.600	-133
552	resnet101d.ra2_in1k	320	34.874	65.126	54.181	45.819	44.57	1.000	bicubic	-48.144	-42.277	-14
553	repvit_m1_5.dist_300e_in1k	224	34.870	65.130	54.336	45.664	14.64	0.950	bicubic	-47.512	-41.690	+86
554	coatnet_1_rw_224.sw_in1k	224	34.864	65.136	53.426	46.574	41.72	0.950	bicubic	-48.748	-42.956	-105
555	flexivit_base.300ep_in1k	240	34.846	65.154	53.194	46.806	86.59	0.950	bicubic	-49.556	-43.692	-225
556	convnext_nano.in12k_ft_in1k	224	34.829	65.171	56.173	43.827	15.59	1.000	bicubic	-47.131	-40.087	+150
557	mobilenetv4_conv_large.e500_r256_in1k	256	34.817	65.183	54.652	45.348	32.59	1.000	bicubic	-47.009	-40.996	+168
558	coatnet_rmlp_1_rw_224.sw_in1k	224	34.809	65.191	53.965	46.035	41.69	0.950	bicubic	-48.545	-42.460	-61
559	resnet101.a1h_in1k	224	34.807	65.193	54.572	45.428	44.55	1.000	bicubic	-47.127	-41.130	+152
560	swin_s3_base_224.ms_in1k	224	34.805	65.195	53.731	46.269	71.13	0.900	bicubic	-49.115	-42.927	-171
561	regnetz_c16_evos.ch_in1k	256	34.803	65.197	55.998	44.002	13.49	0.950	bicubic	-47.139	-40.152	+149
562	seresnext101_32x8d.ah_in1k	288	34.797	65.203	53.522	46.478	93.57	1.000	bicubic	-49.397	-43.340	-203
563	maxvit_tiny_rw_224.sw_in1k	224	34.785	65.215	53.357	46.643	29.06	0.950	bicubic	-48.737	-43.131	-100
564	resnetv2_101.a1h_in1k	224	34.762	65.238	53.538	46.462	44.54	1.000	bicubic	-47.290	-42.318	+126
565	hgnetv2_b1.ssld_stage1_in22k_in1k	224	34.738	65.262	55.774	44.226	6.34	1.000	bicubic	-43.190	-37.912	+615
566	vit_base_patch16_rpn_224.sw_in1k	224	34.723	65.277	54.666	45.334	86.54	0.900	bicubic	-47.493	-41.332	+101
567	vit_relpos_base_patch16_clsgap_224.sw_in1k	224	34.717	65.283	54.230	45.770	86.43	0.900	bicubic	-48.045	-41.948	+6
568	resmlp_big_24_224.fb_distilled_in1k	224	34.715	65.285	54.534	45.466	129.14	0.875	bicubic	-48.879	-42.120	-116
569	vit_large_patch32_384.orig_in21k_ft_in1k	384	34.709	65.291	55.721	44.279	306.63	1.000	bicubic	-46.797	-39.767	+191
570	sequencer2d_m.in1k	224	34.703	65.297	53.996	46.004	38.31	0.875	bicubic	-48.109	-42.656	-3
571	deit3_small_patch16_224.fb_in1k	224	34.679	65.321	53.129	46.871	22.06	0.900	bicubic	-46.695	-42.421	+212
572	focalnet_small_srf.ms_in1k	224	34.672	65.329	54.416	45.584	49.89	0.900	bicubic	-48.759	-42.017	-91
573	davit_tiny.msft_in1k	224	34.672	65.329	54.330	45.670	28.36	0.950	bicubic	-48.026	-41.954	+11
574	ecaresnet101d.miil_in1k	288	34.662	65.338	54.507	45.493	44.57	0.950	bicubic	-48.336	-42.017	-32
575	vit_relpos_base_patch16_224.sw_in1k	224	34.624	65.376	54.271	45.729	86.43	0.900	bicubic	-47.852	-41.873	+51
576	regnetv_064.ra3_in1k	224	34.622	65.378	55.454	44.546	30.58	1.000	bicubic	-48.378	-40.958	-35
577	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	224	34.618	65.382	55.943	44.057	194.03	0.875	bilinear	-47.261	-40.157	+142
578	repvgg_b2g4.rvgg_in1k	224	34.609	65.391	54.798	45.202	61.76	0.875	bilinear	-44.787	-39.882	+455
579	mobilenetv4_conv_aa_large.e600_r384_in1k	480	34.589	65.411	54.033	45.967	32.59	1.000	bicubic	-49.243	-42.699	-172
580	resnetrs200.tf_in1k	320	34.546	65.454	54.257	45.743	93.21	1.000	bicubic	-49.898	-42.715	-260
581	gcvit_tiny.in1k	224	34.540	65.460	53.220	46.780	28.22	0.875	bicubic	-48.856	-43.172	-93
582	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	256	34.505	65.496	54.882	45.118	11.07	1.000	bicubic	-47.709	-41.014	+86
583	poolformerv2_m48.sail_in1k	224	34.501	65.499	53.980	46.020	73.35	1.000	bicubic	-48.111	-42.088	+17
584	hiera_tiny_224.mae_in1k_ft_in1k	224	34.473	65.527	53.255	46.745	27.91	0.900	bicubic	-48.351	-42.947	-21
585	resnet51q.ra2_in1k	256	34.461	65.539	54.143	45.857	35.70	1.000	bilinear	-47.555	-41.873	+110
586	tf_efficientnetv2_s.in1k	300	34.432	65.568	54.259	45.741	21.46	1.000	bicubic	-48.740	-42.077	-73
587	convnextv2_nano.fcmae_ft_in22k_in1k	288	34.424	65.576	55.020	44.980	15.62	1.000	bicubic	-48.242	-41.526	+1
588	efficientvit_b2.r256_in1k	256	34.418	65.582	53.591	46.409	24.33	1.000	bicubic	-48.294	-42.501	-7
589	resnetrs152.tf_in1k	320	34.395	65.606	53.526	46.474	86.62	1.000	bicubic	-49.315	-43.084	-156
590	resnest50d_4s2x40d.in1k	224	34.357	65.643	54.723	45.277	30.42	0.875	bicubic	-46.789	-40.843	+226
591	pvt_v2_b2_li.in1k	224	34.328	65.672	54.088	45.912	22.55	0.900	bicubic	-47.874	-42.022	+80
592	crossvit_18_dagger_408.in1k	408	34.237	65.763	53.092	46.908	44.61	1.000	bicubic	-49.965	-43.740	-234
593	tf_efficientnetv2_b3.in21k_ft_in1k	240	34.235	65.765	55.778	44.222	14.36	0.900	bicubic	-46.841	-40.142	+231
594	xcit_medium_24_p16_224.fb_in1k	224	34.235	65.765	53.155	46.845	84.40	1.000	bicubic	-48.397	-42.825	+1
595	efficientvit_b2.r288_in1k	288	34.227	65.773	53.526	46.474	24.33	1.000	bicubic	-48.859	-42.778	-65
596	resnetrs101.tf_in1k	192	34.208	65.792	54.542	45.458	63.62	0.940	bicubic	-46.494	-40.702	+281
597	tf_efficientnet_b1.ns_jft_in1k	240	34.184	65.816	55.511	44.489	7.79	0.882	bicubic	-47.204	-40.247	+183
598	pit_s_distilled_224.in1k	224	34.174	65.826	53.369	46.631	24.04	0.900	bicubic	-47.668	-42.331	+125
599	efficientnetv2_rw_t.ra2_in1k	288	34.157	65.843	53.161	46.839	13.65	1.000	bicubic	-48.195	-43.015	+45
600	hgnetv2_b1.ssld_stage2_ft_in1k	224	34.117	65.883	55.053	44.947	6.34	1.000	bicubic	-44.657	-39.389	+505
601	tf_efficientnet_b4.aa_in1k	380	34.106	65.894	54.210	45.790	19.34	0.922	bicubic	-48.930	-42.082	-65
602	fastvit_sa24.apple_in1k	256	34.080	65.920	53.750	46.250	21.55	0.900	bicubic	-48.626	-42.528	-20
603	twins_pcpvt_large.in1k	224	34.076	65.924	54.110	45.890	60.99	0.900	bicubic	-49.092	-42.500	-88
604	resnetv2_101.a1h_in1k	288	34.072	65.928	52.314	47.686	44.54	1.000	bicubic	-48.930	-44.130	-64
605	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	448	34.070	65.930	54.418	45.582	11.07	1.000	bicubic	-49.352	-42.314	-121
606	efficientformerv2_s2.snap_dist_in1k	224	34.066	65.934	53.530	46.470	12.71	0.950	bicubic	-48.100	-42.176	+70
607	tf_efficientnet_b6.aa_in1k	528	34.060	65.940	54.566	45.434	43.04	0.942	bicubic	-50.058	-42.326	-243
608	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	224	34.054	65.945	55.596	44.404	88.79	0.875	bilinear	-47.566	-40.441	+135
609	xcit_small_24_p16_224.fb_in1k	224	34.037	65.963	53.269	46.731	47.67	1.000	bicubic	-48.543	-42.731	+2
610	mobilenetv4_conv_large.e500_r256_in1k	320	34.033	65.967	53.754	46.246	32.59	1.000	bicubic	-48.641	-42.562	-25
611	efficientnet_b3_pruned.in1k	300	34.013	65.987	54.104	45.896	9.86	0.904	bicubic	-46.859	-41.168	+243
612	nfnet_l0.ra2_in1k	288	34.002	65.999	54.356	45.644	35.07	1.000	bicubic	-48.755	-42.138	-38
613	nextvit_small.bd_in1k_384	384	33.998	66.002	53.870	46.130	31.76	1.000	bicubic	-50.037	-43.118	-236
614	regnety_160.deit_in1k	288	33.996	66.004	53.558	46.442	83.59	1.000	bicubic	-49.704	-43.228	-178
615	resnext101_64x4d.tv_in1k	224	33.992	66.008	52.512	47.488	83.46	0.875	bilinear	-48.986	-43.740	-70
616	gc_efficientnetv2_rw_t.agc_in1k	288	33.990	66.010	53.285	46.715	13.68	1.000	bicubic	-48.490	-43.015	+9
617	resnext101_32x8d.tv2_in1k	176	33.960	66.040	52.459	47.541	88.79	0.965	bilinear	-47.952	-43.333	+96
618	cs3edgenet_x.c2_in1k	256	33.860	66.140	53.291	46.709	47.82	1.000	bicubic	-48.406	-42.819	+41
619	resnext101_64x4d.c1_in1k	288	33.854	66.146	52.172	47.828	83.46	1.000	bicubic	-49.304	-44.198	-101
620	swinv2_cr_small_ns_224.sw_in1k	224	33.842	66.158	52.634	47.366	49.70	0.900	bicubic	-49.648	-43.852	-152
621	poolformerv2_s36.sail_in1k	224	33.836	66.164	53.672	46.328	30.79	1.000	bicubic	-47.740	-42.008	+128
622	xcit_small_12_p16_224.fb_in1k	224	33.827	66.173	53.155	46.845	26.25	1.000	bicubic	-48.155	-42.659	+79
623	nextvit_small.bd_in1k	224	33.811	66.189	53.181	46.819	31.76	0.950	bicubic	-48.809	-43.041	-24
624	resnet101.a1h_in1k	288	33.772	66.228	53.131	46.869	44.55	1.000	bicubic	-49.031	-43.187	-55
625	repvit_m3.dist_in1k	224	33.768	66.232	53.110	46.890	10.68	0.950	bicubic	-47.720	-42.452	+138
626	cs3se_edgenet_x.c2ns_in1k	256	33.744	66.256	53.230	46.770	50.72	1.000	bicubic	-49.036	-43.084	-54
627	resnetv2_50x3_bit.goog_in21k_ft_in1k	448	33.740	66.260	55.935	44.065	217.32	1.000	bilinear	-50.280	-41.048	-247
628	hgnetv2_b1.ssld_stage1_in22k_in1k	288	33.728	66.272	54.344	45.656	6.34	1.000	bicubic	-45.320	-40.538	+451
629	swin_s3_small_224.ms_in1k	224	33.689	66.311	52.408	47.592	49.74	0.900	bicubic	-50.089	-44.052	-210
630	mobilenetv4_hybrid_medium.e500_r224_in1k	224	33.685	66.315	53.294	46.706	11.07	1.000	bicubic	-46.709	-42.048	+287
631	swinv2_small_window8_256.ms_in1k	256	33.665	66.335	52.778	47.222	49.73	0.900	bicubic	-50.179	-43.872	-226
632	resnet152.tv2_in1k	224	33.632	66.368	51.650	48.350	60.19	0.965	bilinear	-48.660	-44.350	+25
633	resnet51q.ra2_in1k	288	33.595	66.405	53.027	46.973	35.70	1.000	bilinear	-48.761	-43.151	+10
634	inception_next_tiny.sail_in1k	224	33.593	66.407	53.045	46.955	28.06	0.875	bicubic	-48.915	-42.955	-12
635	regnety_064.ra3_in1k	224	33.589	66.411	53.288	46.712	30.58	1.000	bicubic	-49.225	-42.987	-70
636	regnetv_040.ra3_in1k	224	33.585	66.415	53.078	46.922	20.64	1.000	bicubic	-48.853	-43.114	-6
637	resnet61q.ra2_in1k	256	33.565	66.435	52.261	47.739	36.85	1.000	bicubic	-48.357	-43.581	+75
638	xcit_tiny_24_p16_384.fb_dist_in1k	384	33.546	66.454	52.799	47.201	12.12	1.000	bicubic	-49.034	-43.455	-29
639	eca_nfnet_l0.ra2_in1k	224	33.544	66.456	54.167	45.833	24.14	1.000	bicubic	-48.058	-41.875	+107
640	mobilenetv4_hybrid_medium.e500_r224_in1k	256	33.508	66.492	52.870	47.130	11.07	1.000	bicubic	-47.776	-42.870	+156
641	vit_relpos_medium_patch16_224.sw_in1k	224	33.504	66.496	52.589	47.411	38.75	0.900	bicubic	-48.962	-43.495	-14
642	regnety_080.ra3_in1k	288	33.477	66.523	52.899	47.101	39.18	1.000	bicubic	-50.463	-43.981	-256
643	cs3edgenet_x.c2_in1k	288	33.455	66.545	52.931	47.069	47.82	1.000	bicubic	-49.291	-43.459	-67
644	convmixer_1536_20.in1k	224	33.445	66.555	53.055	46.945	51.63	0.960	bicubic	-47.925	-42.575	+140
645	regnety_032.ra_in1k	288	33.434	66.566	52.778	47.222	19.44	1.000	bicubic	-49.290	-43.646	-66
646	sequencer2d_s.in1k	224	33.428	66.572	52.385	47.615	27.65	0.875	bicubic	-48.912	-43.645	-1
647	tf_efficientnetv2_b3.in21k_ft_in1k	300	33.426	66.574	55.022	44.978	14.36	0.900	bicubic	-49.240	-41.608	-60
648	crossvit_18_240.in1k	240	33.396	66.604	52.259	47.741	43.27	0.875	bicubic	-48.990	-43.807	-10
649	gernet_l.idstcv_in1k	256	33.392	66.608	51.785	48.215	31.08	0.875	bilinear	-47.964	-43.765	+136
650	regnetz_c16.ra3_in1k	320	33.383	66.618	54.271	45.729	13.46	1.000	bicubic	-49.277	-42.061	-61
651	vit_srelpos_medium_patch16_224.sw_in1k	224	33.380	66.620	52.493	47.507	38.74	0.900	bicubic	-48.870	-43.435	+10
652	tiny_vit_5m_224.dist_in22k_ft_in1k	224	33.345	66.655	55.049	44.951	5.39	0.950	bicubic	-47.517	-40.623	+204
653	crossvit_15_dagger_408.in1k	408	33.345	66.655	52.243	47.757	28.50	1.000	bicubic	-50.495	-44.537	-247
654	wide_resnet50_2.racm_in1k	224	33.312	66.688	52.459	47.541	68.88	0.950	bicubic	-48.228	-43.125	+101
655	wide_resnet101_2.tv2_in1k	224	33.286	66.714	51.455	48.545	126.89	0.965	bilinear	-49.230	-44.557	-35
656	crossvit_18_dagger_240.in1k	240	33.284	66.716	52.190	47.810	44.27	0.875	bicubic	-49.238	-43.876	-38
657	tresnet_xl.miil_in1k	224	33.276	66.724	52.310	47.690	78.44	0.875	bilinear	-48.788	-43.620	+31
658	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	224	33.272	66.728	55.246	44.754	28.29	0.900	bicubic	-47.694	-40.774	+177
659	fbnetv3_g.ra2_in1k	240	33.239	66.761	53.731	46.269	16.62	0.950	bilinear	-48.011	-41.951	+143
660	nest_base_jx.goog_in1k	224	33.223	66.777	51.827	48.173	67.72	0.875	bicubic	-50.323	-44.539	-202
661	convnext_tiny.fb_in1k	288	33.180	66.820	52.668	47.332	28.59	1.000	bicubic	-49.514	-43.476	-77
662	resnest50d_1s4x24d.in1k	224	33.172	66.828	52.852	47.148	25.68	0.875	bicubic	-47.846	-42.484	+169
663	convnext_nano.in12k_ft_in1k	288	33.135	66.865	53.982	46.018	15.59	1.000	bicubic	-49.747	-42.580	-107
664	resnet61q.ra2_in1k	288	33.121	66.879	51.718	48.282	36.85	1.000	bicubic	-49.403	-44.796	-47
665	vit_relpos_medium_patch16_rpn_224.sw_in1k	224	33.103	66.897	52.392	47.608	38.73	0.900	bicubic	-49.205	-43.590	-12
666	rexnet_300.nav_in1k	224	33.090	66.910	52.367	47.633	34.71	0.875	bicubic	-49.692	-43.865	-95
667	maxxvit_rmlp_nano_rw_256.sw_in1k	256	33.082	66.918	51.907	48.093	16.78	0.950	bicubic	-49.944	-44.437	-130
668	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	256	33.070	66.930	52.762	47.238	11.07	1.000	bicubic	-48.238	-42.930	+121
669	twins_pcpvt_base.in1k	224	33.062	66.938	52.607	47.393	43.83	0.900	bicubic	-49.670	-43.739	-91
670	tf_efficientnetv2_s.in1k	384	33.054	66.946	51.901	48.099	21.46	1.000	bicubic	-50.842	-44.797	-276
671	pvt_v2_b2.in1k	224	33.039	66.961	52.015	47.985	25.36	0.900	bicubic	-49.049	-43.941	+14
672	hgnetv2_b1.ssld_stage2_ft_in1k	288	33.035	66.965	53.530	46.470	6.34	1.000	bicubic	-46.869	-41.618	+306
673	nest_small_jx.goog_in1k	224	33.029	66.971	51.052	48.948	38.35	0.875	bicubic	-50.093	-45.282	-150
674	crossvit_base_240.in1k	240	33.023	66.977	51.371	48.629	105.03	0.875	bicubic	-49.205	-44.443	-10
675	poolformerv2_m36.sail_in1k	224	33.019	66.981	51.854	48.146	56.08	1.000	bicubic	-49.195	-44.416	-6
676	xcit_tiny_24_p16_224.fb_dist_in1k	224	33.011	66.989	52.084	47.916	12.12	1.000	bicubic	-47.455	-42.950	+231
677	rexnet_200.nav_in1k	224	32.978	67.022	52.943	47.057	16.37	0.875	bicubic	-48.660	-42.725	+65
678	resnest50d.in1k	224	32.960	67.040	52.717	47.283	27.48	0.875	bilinear	-47.998	-42.853	+160
679	convit_small.fb_in1k	224	32.956	67.044	52.153	47.847	27.78	0.875	bicubic	-48.458	-43.997	+99
680	mobilenetv4_conv_blur_medium.e500_r224_in1k	224	32.950	67.050	52.538	47.462	9.72	1.000	bicubic	-46.344	-42.330	+370
681	crossvit_15_dagger_240.in1k	240	32.925	67.075	51.803	48.197	28.21	0.875	bicubic	-49.405	-44.151	-34
682	tf_efficientnet_b3.aa_in1k	300	32.923	67.077	52.921	47.079	12.23	0.904	bicubic	-48.729	-42.803	+57
683	swin_base_patch4_window12_384.ms_in1k	384	32.911	67.089	51.770	48.230	87.90	1.000	bicubic	-51.565	-45.116	-371
684	convnext_tiny_hnf.a2h_in1k	288	32.905	67.095	51.198	48.802	28.59	1.000	bicubic	-49.703	-44.826	-83
685	vit_small_patch16_224.augreg_in21k_ft_in1k	224	32.895	67.105	53.949	46.051	22.05	0.900	bicubic	-48.519	-41.787	+92
686	pnasnet5large.tf_in1k	331	32.876	67.124	50.559	49.441	86.06	0.911	bicubic	-49.953	-45.663	-126
687	hgnet_small.paddle_in1k	224	32.870	67.130	52.815	47.185	24.36	1.000	bicubic	-48.470	-43.027	+100
688	twins_svt_base.in1k	224	32.846	67.154	51.524	48.476	56.07	0.900	bicubic	-50.278	-44.904	-166
689	regnetv_064.ra3_in1k	288	32.828	67.172	52.890	47.110	30.58	1.000	bicubic	-50.920	-43.856	-262
690	convnextv2_nano.fcmae_ft_in1k	288	32.803	67.197	52.672	47.328	15.62	1.000	bicubic	-49.693	-43.608	-66
691	resnet152.a1_in1k	224	32.801	67.199	50.237	49.763	60.19	1.000	bicubic	-49.091	-44.999	+26
692	nasnetalarge.tf_in1k	331	32.797	67.203	50.174	49.826	88.75	0.911	bicubic	-49.839	-45.886	-98
693	ecaresnet50t.ra2_in1k	256	32.795	67.205	52.811	47.189	25.57	0.950	bicubic	-48.645	-42.893	+79
694	resnet152d.gluon_in1k	224	32.764	67.237	51.076	48.924	60.21	0.875	bicubic	-47.712	-44.160	+210
695	gernet_m.idstcv_in1k	224	32.752	67.248	51.895	48.105	21.14	0.875	bilinear	-47.982	-43.291	+177
696	inception_resnet_v2.tf_in1k	299	32.744	67.256	50.655	49.345	55.84	0.897	bicubic	-47.716	-44.653	+214
697	repvit_m1_1.dist_450e_in1k	224	32.740	67.260	52.675	47.325	8.80	0.950	bicubic	-48.564	-42.451	+94
698	seresnext50_32x4d.racm_in1k	224	32.724	67.276	52.328	47.672	27.56	0.950	bicubic	-48.572	-43.258	+97
699	pit_b_224.in1k	224	32.703	67.297	49.848	50.152	73.76	0.900	bicubic	-49.757	-45.860	-70
700	tf_efficientnet_b2.ap_in1k	260	32.669	67.331	52.241	47.759	9.11	0.890	bicubic	-47.627	-42.791	+234
701	mobilenetv4_conv_medium.e500_r256_in1k	256	32.655	67.345	52.949	47.051	9.72	1.000	bicubic	-47.161	-42.199	+292
702	swin_base_patch4_window7_224.ms_in1k	224	32.653	67.347	51.569	48.431	87.77	0.900	bicubic	-50.957	-44.881	-252
703	fbnetv3_g.ra2_in1k	288	32.624	67.376	52.907	47.093	16.62	0.950	bilinear	-49.416	-43.157	-11
704	regnety_320.tv2_in1k	224	32.614	67.386	50.284	49.716	145.05	0.965	bicubic	-50.560	-46.134	-192
705	mobilenetv4_conv_blur_medium.e500_r224_in1k	256	32.604	67.396	52.363	47.637	9.72	1.000	bicubic	-47.548	-42.407	+251
706	resnext101_32x8d.tv2_in1k	224	32.571	67.429	50.154	49.846	88.79	0.965	bilinear	-50.261	-46.078	-148
707	regnetz_c16_evos.ch_in1k	320	32.559	67.441	52.943	47.057	13.49	0.950	bicubic	-50.083	-43.537	-114
708	cait_xxs36_384.fb_dist_in1k	384	32.549	67.451	52.253	47.747	17.37	1.000	bicubic	-49.659	-43.897	-39
709	tresnet_l.miil_in1k	224	32.549	67.451	51.127	48.873	55.99	0.875	bilinear	-48.949	-44.525	+54
710	regnety_040.ra3_in1k	224	32.520	67.480	51.605	48.395	20.65	1.000	bicubic	-49.714	-44.379	-47
711	resnetaa50d.sw_in12k_ft_in1k	224	32.477	67.523	52.760	47.240	25.58	1.000	bicubic	-49.291	-43.282	+22
712	edgenext_small.usi_in1k	256	32.427	67.573	52.025	47.975	5.59	1.000	bicubic	-48.439	-43.203	+143
713	gmlp_s16_224.ra3_in1k	224	32.416	67.584	51.823	48.177	19.42	0.875	bicubic	-47.228	-42.805	+301
714	wide_resnet101_2.tv2_in1k	176	32.394	67.606	50.113	49.887	126.89	0.965	bilinear	-47.834	-44.991	+232
715	maxvit_nano_rw_256.sw_in1k	256	32.384	67.616	50.608	49.392	15.45	0.950	bicubic	-50.560	-45.616	-167
716	inception_resnet_v2.tf_ens_adv_in1k	299	32.376	67.624	50.431	49.569	55.84	0.897	bicubic	-47.616	-44.525	+250
717	deit_base_patch16_224.fb_in1k	224	32.368	67.632	50.980	49.020	86.57	0.900	bicubic	-49.612	-44.808	-14
718	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	320	32.365	67.635	51.803	48.197	11.07	1.000	bicubic	-50.625	-44.867	-175
719	swin_small_patch4_window7_224.ms_in1k	224	32.349	67.651	50.913	49.087	49.61	0.900	bicubic	-50.879	-45.413	-210
720	resnet152s.gluon_in1k	224	32.347	67.653	50.532	49.468	60.32	0.875	bicubic	-48.701	-44.910	+108
721	repvit_m1_1.dist_300e_in1k	224	32.292	67.708	51.948	48.052	8.80	0.950	bicubic	-48.534	-43.226	+140
722	deit_small_distilled_patch16_224.fb_in1k	224	32.284	67.716	52.111	47.889	22.44	0.900	bicubic	-48.932	-43.268	+84
723	poolformerv2_s24.sail_in1k	224	32.276	67.724	51.490	48.510	21.34	1.000	bicubic	-48.476	-43.828	+146
724	xcit_tiny_24_p8_224.fb_in1k	224	32.239	67.761	51.878	48.122	12.11	1.000	bicubic	-49.651	-44.102	-6
725	seresnext101_64x4d.gluon_in1k	224	32.203	67.797	50.325	49.675	88.23	0.875	bicubic	-48.679	-44.981	+124
726	resnet50.ram_in1k	224	32.197	67.802	51.082	48.918	25.56	0.950	bicubic	-46.613	-43.334	+373
727	regnetx_320.tv2_in1k	224	32.196	67.804	49.364	50.636	107.81	0.965	bicubic	-50.628	-46.916	-165
728	resnetv2_50d_gn.ah_in1k	224	32.194	67.806	51.339	48.661	25.57	1.000	bicubic	-48.638	-43.935	+132
729	mobilenetv4_conv_medium.e500_r224_in1k	224	32.135	67.865	51.728	48.272	9.72	1.000	bicubic	-46.751	-42.940	+364
730	gcvit_xtiny.in1k	224	32.129	67.871	51.141	48.859	19.98	0.875	bicubic	-49.839	-44.825	-26
731	coat_lite_small.in1k	224	32.127	67.873	49.983	50.017	19.84	0.900	bicubic	-50.175	-45.851	-77
732	seresnext101_32x4d.gluon_in1k	224	32.123	67.877	51.221	48.779	48.96	0.875	bicubic	-48.763	-44.047	+115
733	convnextv2_pico.fcmae_ft_in1k	224	32.119	67.881	52.106	47.894	9.07	0.950	bicubic	-48.087	-42.976	+216
734	tiny_vit_11m_224.in1k	224	32.093	67.907	51.306	48.694	11.00	0.950	bicubic	-49.445	-44.564	+22
735	coatnext_nano_rw_224.sw_in1k	224	32.093	67.907	51.033	48.967	14.70	0.900	bicubic	-49.905	-44.855	-36
736	tf_efficientnet_b7.aa_in1k	600	32.087	67.912	52.155	47.845	66.35	0.949	bicubic	-52.337	-44.753	-410
737	flexivit_small.1200ep_in1k	240	32.080	67.920	50.313	49.687	22.06	0.950	bicubic	-50.512	-45.837	-129
738	efficientvit_b2.r224_in1k	224	32.074	67.926	50.936	49.064	24.33	0.950	bicubic	-50.092	-44.974	-61
739	maxxvitv2_nano_rw_256.sw_in1k	256	32.066	67.934	50.329	49.671	23.70	0.950	bicubic	-51.038	-46.005	-212
740	focalnet_tiny_lrf.ms_in1k	224	32.064	67.936	51.435	48.565	28.65	0.900	bicubic	-50.110	-44.512	-66
741	mobilenet_edgetpu_v2_m	224	32.011	67.989	51.316	48.684	8.46	0.950	bicubic	-48.023	-43.740	+223
742	deit_base_patch16_384.fb_in1k	384	31.985	68.015	50.539	49.461	86.86	1.000	bicubic	-51.131	-45.827	-217
743	maxvit_rmlp_nano_rw_256.sw_in1k	256	31.968	68.032	50.620	49.380	15.50	0.950	bicubic	-51.012	-45.652	-199
744	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	320	31.954	68.046	51.463	48.537	11.07	1.000	bicubic	-50.542	-44.765	-121
745	xcit_tiny_12_p8_224.fb_dist_in1k	224	31.946	68.054	51.386	48.614	6.71	1.000	bicubic	-49.266	-44.230	+63
746	vit_wee_patch16_reg1_gap_256.sbb_in1k	256	31.885	68.115	51.583	48.417	13.42	0.950	bicubic	-48.383	-43.777	+194
747	coatnet_bn_0_rw_224.sw_in1k	224	31.883	68.117	50.999	49.001	27.44	0.950	bicubic	-50.511	-44.845	-113
748	levit_conv_384.fb_dist_in1k	224	31.873	68.127	50.624	49.376	39.13	0.900	bicubic	-50.727	-45.396	-144
749	levit_384.fb_dist_in1k	224	31.869	68.131	50.626	49.374	39.13	0.900	bicubic	-50.729	-45.390	-144
750	resnetrs101.tf_in1k	288	31.865	68.135	51.011	48.989	63.62	0.940	bicubic	-50.429	-44.989	-95
751	mobilenetv4_conv_medium.e500_r256_in1k	320	31.863	68.136	51.819	48.181	9.72	1.000	bicubic	-49.016	-43.943	+99
752	cs3se_edgenet_x.c2ns_in1k	320	31.852	68.148	50.822	49.178	50.72	1.000	bicubic	-51.692	-45.842	-293
753	hgnetv2_b0.ssld_stage1_in22k_in1k	224	31.836	68.164	52.221	47.779	6.00	1.000	bicubic	-44.978	-41.248	+503
754	ecaresnetlight.miil_in1k	224	31.832	68.168	51.096	48.904	30.16	0.950	bicubic	-48.518	-44.094	+169
755	mobilenetv4_conv_medium.e500_r224_in1k	256	31.830	68.170	51.583	48.417	9.72	1.000	bicubic	-48.008	-43.611	+233
756	cs3sedarknet_x.c2ns_in1k	256	31.808	68.192	51.160	48.840	35.40	1.000	bicubic	-50.272	-44.962	-69
757	ecaresnet101d_pruned.miil_in1k	224	31.777	68.223	50.899	49.101	24.88	0.950	bicubic	-49.181	-44.473	+80
758	vit_relpos_small_patch16_224.sw_in1k	224	31.775	68.225	50.608	49.392	21.98	0.900	bicubic	-49.701	-45.216	+7
759	flexivit_small.600ep_in1k	240	31.765	68.235	49.581	50.419	22.06	0.950	bicubic	-50.627	-46.633	-122
760	tf_efficientnetv2_b3.in1k	240	31.744	68.256	51.099	48.901	14.36	0.904	bicubic	-48.968	-44.077	+114
761	poolformer_m48.sail_in1k	224	31.669	68.331	49.842	50.158	73.47	0.950	bicubic	-50.793	-46.126	-133
762	tnt_s_patch16_224	224	31.663	68.337	51.170	48.830	23.76	0.900	bicubic	-49.873	-44.566	-5
763	convnext_tiny.fb_in22k_ft_in1k	288	31.643	68.357	51.768	48.232	28.59	1.000	bicubic	-47.307	-42.940	+323
764	ecaresnet50d.miil_in1k	224	31.641	68.359	51.620	48.380	25.58	0.950	bicubic	-49.013	-43.786	+121
765	resnet50d.ra2_in1k	224	31.641	68.359	50.691	49.309	25.58	0.950	bicubic	-48.835	-44.503	+138
766	resnetv2_50x1_bit.goog_distilled_in1k	224	31.640	68.361	51.312	48.688	25.55	0.875	bicubic	-51.180	-45.214	-202
767	eca_nfnet_l0.ra2_in1k	288	31.626	68.374	51.606	48.394	24.14	1.000	bicubic	-50.970	-44.886	-161
768	resnet50.b1k_in1k	224	31.620	68.380	50.742	49.258	25.56	1.000	bicubic	-47.732	-43.860	+273
769	focalnet_tiny_srf.ms_in1k	224	31.616	68.384	50.868	49.132	28.43	0.900	bicubic	-50.528	-45.102	-90
770	hgnetv2_b0.ssld_stage2_ft_in1k	224	31.584	68.416	51.699	48.301	6.00	1.000	bicubic	-45.706	-41.965	+457
771	gcresnet50t.ra2_in1k	256	31.557	68.443	51.064	48.936	25.90	1.000	bicubic	-49.383	-44.372	+70
772	coatnet_rmlp_nano_rw_224.sw_in1k	224	31.553	68.447	50.223	49.777	15.15	0.900	bicubic	-50.509	-45.647	-83
773	xception41p.ra3_in1k	299	31.547	68.453	50.372	49.628	26.91	0.940	bicubic	-50.433	-45.370	-71
774	resnet152.tv2_in1k	176	31.545	68.455	49.099	50.901	60.19	0.965	bilinear	-48.227	-45.789	+222
775	mobilevitv2_200.cvnets_in22k_ft_in1k	256	31.539	68.461	51.834	48.166	18.45	0.888	bicubic	-50.783	-44.106	-127
776	wide_resnet50_2.racm_in1k	288	31.521	68.478	50.378	49.622	68.88	0.950	bicubic	-50.745	-45.684	-116
777	nf_resnet50.ra2_in1k	256	31.490	68.510	50.769	49.231	25.56	0.940	bicubic	-48.738	-44.085	+168
778	convnext_nano_ols.d1h_in1k	224	31.484	68.516	50.129	49.871	15.65	1.000	bicubic	-49.426	-45.127	+67
779	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	224	31.466	68.534	52.151	47.849	44.18	0.875	bilinear	-49.470	-43.581	+63
780	regnety_064.ra3_in1k	288	31.466	68.534	50.488	49.512	30.58	1.000	bicubic	-52.246	-46.240	-349
781	poolformer_m36.sail_in1k	224	31.466	68.534	50.025	49.975	56.17	0.950	bicubic	-50.638	-45.673	-99
782	flexivit_small.300ep_in1k	240	31.453	68.547	49.221	50.779	22.06	0.950	bicubic	-50.717	-46.805	-107
783	repvit_m1_0.dist_450e_in1k	224	31.443	68.557	50.687	49.313	7.30	0.950	bicubic	-49.003	-44.233	+130
784	resnet152.a1_in1k	288	31.433	68.567	48.665	51.335	60.19	1.000	bicubic	-51.311	-47.053	-207
785	convnext_nano.d1h_in1k	224	31.429	68.571	50.319	49.681	15.59	1.000	bicubic	-49.239	-44.917	+98
786	rexnet_150.nav_in1k	224	31.425	68.575	51.324	48.676	9.73	0.875	bicubic	-48.885	-43.846	+144
787	resnet152.a2_in1k	224	31.425	68.575	48.048	51.952	60.19	1.000	bicubic	-50.347	-47.158	-55
788	resnet101.a1_in1k	224	31.400	68.600	48.256	51.744	44.55	1.000	bicubic	-50.164	-46.838	-37
789	inception_v4.tf_in1k	299	31.388	68.612	49.248	50.752	42.68	0.875	bicubic	-48.756	-45.734	+169
790	resnet101.tv2_in1k	224	31.366	68.634	49.578	50.422	44.55	0.965	bilinear	-50.540	-46.190	-75
791	efficientformer_l1.snap_dist_in1k	224	31.358	68.642	50.514	49.486	12.29	0.950	bicubic	-49.144	-44.478	+109
792	repvit_m2.dist_in1k	224	31.335	68.665	50.675	49.325	8.80	0.950	bicubic	-49.133	-44.497	+114
793	pit_s_224.in1k	224	31.325	68.675	49.677	50.323	23.46	0.900	bicubic	-49.801	-45.651	+26
794	regnety_032.tv2_in1k	224	31.313	68.687	50.135	49.865	19.44	0.965	bicubic	-50.485	-45.711	-68
795	wide_resnet50_2.tv2_in1k	176	31.313	68.687	49.808	50.192	68.88	0.965	bilinear	-49.083	-45.326	+122
796	swinv2_tiny_window16_256.ms_in1k	256	31.299	68.701	49.683	50.317	28.35	0.900	bicubic	-51.529	-46.355	-237
797	crossvit_15_240.in1k	240	31.297	68.703	50.200	49.800	27.53	0.875	bicubic	-50.221	-45.496	-39
798	coatnet_0_rw_224.sw_in1k	224	31.284	68.716	48.651	51.349	27.44	0.950	bicubic	-51.110	-47.543	-163
799	vit_srelpos_small_patch16_224.sw_in1k	224	31.282	68.718	50.264	49.736	21.97	0.900	bicubic	-49.826	-45.316	+21
800	crossvit_small_240.in1k	240	31.282	68.718	50.197	49.803	26.86	0.875	bicubic	-49.758	-45.271	+29
801	cait_xxs36_224.fb_dist_in1k	224	31.280	68.720	50.636	49.364	17.30	1.000	bicubic	-48.458	-44.226	+198
802	repvit_m1_0.dist_300e_in1k	224	31.270	68.730	50.820	49.180	7.30	0.950	bicubic	-48.882	-44.478	+155
803	swinv2_cr_small_224.sw_in1k	224	31.254	68.746	48.761	51.239	49.70	0.900	bicubic	-51.872	-47.349	-282
804	cspresnet50.ra_in1k	256	31.248	68.752	51.243	48.757	21.62	0.887	bilinear	-48.340	-43.447	+213
805	convmixer_768_32.in1k	224	31.235	68.765	50.936	49.064	21.11	0.960	bicubic	-48.923	-44.134	+150
806	regnetv_040.ra3_in1k	288	31.227	68.773	50.109	49.891	20.64	1.000	bicubic	-51.973	-46.549	-296
807	cspresnext50.ra_in1k	256	31.225	68.775	50.911	49.089	20.57	0.887	bilinear	-49.327	-44.419	+86
808	hgnetv2_b0.ssld_stage1_in22k_in1k	288	31.221	68.779	51.496	48.504	6.00	1.000	bicubic	-46.819	-42.748	+361
809	vit_pwee_patch16_reg1_gap_256.sbb_in1k	256	31.219	68.781	51.099	48.901	15.25	0.950	bicubic	-48.859	-44.030	+151
810	swin_s3_tiny_224.ms_in1k	224	31.219	68.781	49.714	50.286	28.33	0.900	bicubic	-50.909	-46.244	-130
811	mobilenet_edgetpu_v2_m	256	31.217	68.783	50.327	49.673	8.46	0.950	bicubic	-49.447	-45.117	+73
812	coat_mini.in1k	224	31.209	68.791	49.777	50.223	10.34	0.900	bicubic	-50.095	-45.795	-20
813	cs3darknet_x.c2ns_in1k	256	31.205	68.795	50.015	49.985	35.05	1.000	bicubic	-50.689	-45.943	-97
814	xcit_tiny_12_p8_384.fb_dist_in1k	384	31.188	68.812	50.514	49.486	6.71	1.000	bicubic	-51.204	-45.526	-178
815	fastvit_sa12.apple_dist_in1k	256	31.168	68.832	49.991	50.009	11.58	0.900	bicubic	-50.674	-45.733	-91
816	resnext50_32x4d.a1h_in1k	224	31.166	68.834	49.543	50.457	25.03	1.000	bicubic	-49.838	-45.739	+17
817	ese_vovnet39b.ra_in1k	224	31.146	68.854	50.683	49.317	24.57	0.950	bicubic	-48.220	-44.045	+222
818	resnet101s.gluon_in1k	224	31.146	68.854	49.820	50.180	44.67	0.875	bicubic	-49.158	-45.330	+114
819	repvit_m0_9.dist_300e_in1k	224	31.131	68.870	50.769	49.231	5.49	0.950	bicubic	-47.523	-43.345	+299
820	edgenext_small.usi_in1k	320	31.125	68.875	50.146	49.854	5.59	1.000	bicubic	-50.447	-45.566	-70
821	resnet152.a3_in1k	160	31.111	68.889	49.250	50.750	60.19	0.950	bicubic	-47.785	-44.874	+271
822	tf_efficientnet_cc_b0_8e.in1k	224	31.103	68.897	50.793	49.207	24.01	0.875	bicubic	-46.821	-42.857	+360
823	coatnet_nano_rw_224.sw_in1k	224	31.103	68.897	49.575	50.425	15.14	0.900	bicubic	-50.601	-46.075	-87
824	resmlp_36_224.fb_distilled_in1k	224	31.099	68.901	49.693	50.307	44.69	0.875	bicubic	-50.051	-45.815	-10
825	resnetaa50.a1h_in1k	224	31.097	68.903	49.677	50.323	25.56	1.000	bicubic	-49.513	-45.399	+64
826	ecaresnet50t.ra2_in1k	320	31.050	68.950	50.590	49.410	25.57	0.950	bicubic	-51.320	-45.530	-185
827	resnet50.b2k_in1k	224	31.036	68.964	49.663	50.337	25.56	1.000	bicubic	-48.186	-44.895	+233
828	cs3sedarknet_x.c2ns_in1k	288	31.030	68.970	50.154	49.846	35.40	1.000	bicubic	-51.620	-46.194	-238
829	cspdarknet53.ra_in1k	256	31.013	68.987	50.384	49.616	27.64	0.887	bilinear	-49.063	-44.686	+132
830	regnety_160.tv2_in1k	224	31.011	68.989	49.105	50.895	83.59	0.965	bicubic	-51.635	-47.125	-239
831	resnext101_64x4d.gluon_in1k	224	31.011	68.989	48.533	51.467	83.46	0.875	bicubic	-49.629	-46.467	+57
832	resnet152c.gluon_in1k	224	30.995	69.005	48.950	51.050	60.21	0.875	bicubic	-48.911	-45.900	+144
833	tresnet_m.miil_in1k	224	30.995	69.005	48.692	51.308	31.39	0.875	bilinear	-49.821	-46.170	+30
834	twins_svt_small.in1k	224	30.967	69.033	49.199	50.801	24.06	0.900	bicubic	-50.725	-46.469	-97
835	regnetz_b16.ra3_in1k	224	30.965	69.035	49.694	50.306	9.72	1.000	bicubic	-48.809	-45.378	+159
836	resnet50.a1h_in1k	176	30.962	69.038	49.936	50.064	25.56	1.000	bicubic	-48.142	-44.610	+236
837	gcresnet50t.ra2_in1k	288	30.959	69.040	50.076	49.924	25.90	1.000	bicubic	-50.492	-45.628	-67
838	hgnetv2_b0.ssld_stage2_ft_in1k	288	30.903	69.097	51.056	48.944	6.00	1.000	bicubic	-47.695	-43.324	+281
839	seresnet50.ra2_in1k	224	30.901	69.099	50.080	49.920	28.09	0.950	bicubic	-49.385	-45.046	+97
840	tf_efficientnet_cc_b1_8e.in1k	240	30.899	69.101	50.087	49.913	39.72	0.882	bicubic	-48.421	-44.293	+207
841	regnety_080_tv.tv2_in1k	224	30.897	69.103	48.718	51.282	39.38	0.965	bicubic	-51.695	-47.526	-234
842	tf_efficientnetv2_b3.in1k	300	30.895	69.105	49.803	50.197	14.36	0.904	bicubic	-51.063	-45.979	-135
843	resmlp_24_224.fb_distilled_in1k	224	30.891	69.109	50.144	49.856	30.02	0.875	bicubic	-49.875	-45.076	+25
844	cs3sedarknet_l.c2ns_in1k	256	30.883	69.117	50.315	49.685	21.91	0.950	bicubic	-50.347	-45.453	-39
845	repvit_m0_9.dist_450e_in1k	224	30.879	69.121	50.144	49.856	5.49	0.950	bicubic	-48.179	-44.244	+232
846	resnext101_32x4d.gluon_in1k	224	30.869	69.131	48.553	51.447	44.18	0.875	bicubic	-49.467	-46.355	+79
847	hgnet_tiny.paddle_in1k	224	30.853	69.147	50.274	49.726	14.74	1.000	bicubic	-48.875	-44.490	+154
848	resnet50.c1_in1k	224	30.844	69.156	49.871	50.129	25.56	1.000	bicubic	-48.860	-44.937	+160
849	tf_efficientnet_lite4.in1k	380	30.838	69.162	50.398	49.602	13.01	0.920	bilinear	-50.708	-45.268	-95
850	resnetv2_50d_evos.ah_in1k	224	30.824	69.176	49.262	50.738	25.59	1.000	bicubic	-50.050	-45.998	+3
851	resnetaa50d.sw_in12k_ft_in1k	288	30.812	69.188	50.581	49.419	25.58	1.000	bicubic	-51.832	-45.909	-259
852	efficientvit_b1.r288_in1k	288	30.800	69.200	49.968	50.032	9.10	1.000	bicubic	-49.518	-45.006	+77
853	resnetv2_50.a1h_in1k	224	30.745	69.255	49.011	50.989	25.55	1.000	bicubic	-49.593	-46.021	+71
854	nf_resnet50.ra2_in1k	288	30.718	69.282	49.954	50.046	25.56	0.940	bicubic	-49.934	-45.390	+32
855	xcit_tiny_24_p16_224.fb_in1k	224	30.716	69.284	50.390	49.610	12.12	1.000	bicubic	-48.742	-44.492	+174
856	dpn68b.ra_in1k	224	30.708	69.292	49.614	50.386	12.61	1.000	bicubic	-47.572	-44.500	+294
857	poolformer_s36.sail_in1k	224	30.706	69.294	49.453	50.547	30.86	0.900	bicubic	-50.726	-45.991	-83
858	hgnet_small.paddle_in1k	288	30.667	69.333	49.969	50.031	24.36	1.000	bicubic	-51.555	-46.251	-192
859	dpn107.mx_in1k	224	30.643	69.357	48.745	51.255	86.92	0.875	bicubic	-49.525	-46.191	+92
860	resnet152.gluon_in1k	224	30.639	69.361	48.525	51.475	60.19	0.875	bicubic	-49.073	-46.529	+145
861	tresnet_xl.miil_in1k_448	448	30.633	69.367	49.117	50.883	78.44	0.875	bilinear	-52.429	-47.053	-328
862	resnet50.a1h_in1k	224	30.627	69.373	49.415	50.585	25.56	1.000	bicubic	-50.053	-46.013	+19
863	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	224	30.616	69.384	50.691	49.309	25.03	0.875	bilinear	-49.700	-44.695	+67
864	haloregnetz_b.ra3_in1k	224	30.596	69.404	48.981	51.019	11.68	0.940	bicubic	-50.456	-46.219	-37
865	pit_xs_distilled_224.in1k	224	30.559	69.441	50.176	49.824	11.00	0.900	bicubic	-48.609	-44.192	+200
866	resnet50.d_in1k	224	30.559	69.441	48.405	51.595	25.56	1.000	bicubic	-49.277	-46.303	+125
867	regnetx_080.tv2_in1k	224	30.557	69.443	48.079	51.921	39.57	0.965	bicubic	-51.003	-47.463	-115
868	resnet50.c2_in1k	224	30.521	69.479	48.846	51.154	25.56	1.000	bicubic	-49.395	-46.022	+106
869	resnet101d.gluon_in1k	224	30.515	69.485	47.977	52.023	44.57	0.875	bicubic	-49.951	-47.225	+39
870	mobilevitv2_200.cvnets_in22k_ft_in1k_384	384	30.512	69.489	50.581	49.419	18.45	1.000	bicubic	-52.898	-45.991	-383
871	resnest26d.gluon_in1k	224	30.494	69.506	50.642	49.358	17.07	0.875	bilinear	-47.982	-43.658	+261
872	efficientnet_b2.ra_in1k	288	30.482	69.518	49.706	50.294	9.11	1.000	bicubic	-50.126	-45.612	+18
873	resnet50.tv2_in1k	176	30.470	69.530	48.924	51.076	25.56	0.965	bilinear	-48.924	-45.630	+161
874	cs3darknet_x.c2ns_in1k	288	30.468	69.532	49.158	50.842	35.05	1.000	bicubic	-51.768	-47.074	-212
875	resnet50.ram_in1k	288	30.447	69.553	49.019	50.981	25.56	0.950	bicubic	-49.531	-46.019	+92
876	edgenext_small_rw.sw_in1k	256	30.437	69.563	49.991	50.009	7.83	1.000	bicubic	-48.901	-44.513	+167
877	tf_efficientnet_b1.ap_in1k	240	30.431	69.569	49.602	50.398	7.79	0.882	bicubic	-48.857	-44.714	+174
878	efficientnet_b2.ra_in1k	256	30.419	69.581	49.968	50.032	9.11	1.000	bicubic	-49.133	-44.848	+141
879	resnetblur50.bt_in1k	224	30.417	69.583	49.180	50.820	25.56	0.950	bicubic	-48.759	-45.470	+186
880	resnet101.tv2_in1k	176	30.403	69.597	48.297	51.703	44.55	0.965	bilinear	-49.089	-46.169	+147
881	twins_pcpvt_small.in1k	224	30.394	69.606	49.376	50.624	24.11	0.900	bicubic	-50.750	-46.248	-65
882	resnet50.ra_in1k	224	30.394	69.606	49.231	50.769	25.56	0.950	bicubic	-48.542	-45.127	+207
883	xcit_tiny_12_p16_384.fb_dist_in1k	384	30.390	69.610	50.109	49.891	6.72	1.000	bicubic	-50.562	-45.479	-43
884	resnet50d.ra2_in1k	288	30.390	69.610	48.767	51.233	25.58	0.950	bicubic	-50.960	-46.975	-98
885	ecaresnetlight.miil_in1k	288	30.368	69.632	49.166	50.834	30.16	0.950	bicubic	-51.048	-46.628	-109
886	ecaresnet101d_pruned.miil_in1k	288	30.358	69.642	48.826	51.174	24.88	0.950	bicubic	-51.648	-47.340	-188
887	tf_efficientnet_b5.in1k	456	30.345	69.656	49.773	50.227	30.39	0.934	bicubic	-52.822	-46.755	-371
888	visformer_small.in1k	224	30.329	69.671	48.315	51.685	40.22	0.900	bicubic	-51.767	-47.561	-204
889	resnext50_32x4d.ra_in1k	224	30.317	69.683	48.466	51.534	25.03	0.950	bicubic	-49.419	-46.274	+111
890	resnet101.a1_in1k	288	30.311	69.689	46.554	53.446	44.55	1.000	bicubic	-52.011	-49.074	-241
891	tf_efficientnetv2_b2.in1k	208	30.305	69.695	49.040	50.960	10.10	0.890	bicubic	-48.901	-45.562	+171
892	regnety_040.ra3_in1k	288	30.303	69.697	48.881	51.119	20.65	1.000	bicubic	-52.755	-47.617	-358
893	mobilevitv2_175.cvnets_in22k_ft_in1k	256	30.285	69.715	49.303	50.697	14.25	0.888	bicubic	-51.659	-46.491	-184
894	efficientformerv2_s1.snap_dist_in1k	224	30.262	69.738	49.209	50.791	6.19	0.950	bicubic	-49.422	-45.481	+115
895	regnetx_160.tv2_in1k	224	30.252	69.748	47.047	52.953	54.28	0.965	bicubic	-52.324	-49.008	-283
896	cs3darknet_l.c2ns_in1k	256	30.248	69.752	49.180	50.820	21.16	0.950	bicubic	-50.106	-46.192	+26
897	gcresnext50ts.ch_in1k	256	30.227	69.773	48.743	51.257	15.67	1.000	bicubic	-50.461	-46.521	-18
898	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	256	30.225	69.775	48.720	51.280	119.42	0.900	bicubic	-49.271	-45.864	+127
899	resnet50.b1k_in1k	288	30.203	69.797	49.193	50.807	25.56	1.000	bicubic	-50.501	-46.237	-23
900	resnet101.a2_in1k	224	30.191	69.809	47.289	52.711	44.55	1.000	bicubic	-51.113	-48.099	-107
901	fastvit_s12.apple_dist_in1k	256	30.187	69.813	48.948	51.052	9.47	0.900	bicubic	-50.887	-46.330	-76
902	seresnext50_32x4d.racm_in1k	288	30.170	69.830	49.093	50.907	27.56	0.950	bicubic	-52.022	-47.055	-229
903	resnet50.b2k_in1k	288	30.160	69.840	48.285	51.715	25.56	1.000	bicubic	-50.310	-47.023	+2
904	wide_resnet50_2.tv2_in1k	224	30.156	69.844	48.358	51.642	68.88	0.965	bilinear	-51.442	-47.406	-157
905	efficientnet_b0.ra4_e3600_r224_in1k	224	30.148	69.852	49.085	50.915	5.29	1.000	bicubic	-48.170	-45.031	+241
906	efficientnet_b0.ra4_e3600_r224_in1k	256	30.138	69.862	49.026	50.974	5.29	1.000	bicubic	-49.234	-45.724	+131
907	regnety_016.tv2_in1k	224	30.124	69.876	49.266	50.734	11.20	0.965	bicubic	-50.572	-46.074	-29
908	eca_resnet33ts.ra2_in1k	256	30.085	69.915	49.830	50.170	19.68	1.000	bicubic	-50.093	-45.238	+42
909	nf_regnet_b1.ra2_in1k	256	30.083	69.917	50.194	49.806	10.22	0.900	bicubic	-48.641	-44.192	+200
910	ecaresnet50d_pruned.miil_in1k	224	30.081	69.919	49.496	50.504	19.94	0.950	bicubic	-49.637	-45.518	+93
911	convmixer_1024_20_ks9_p14.in1k	224	30.067	69.933	49.914	50.086	24.38	0.960	bicubic	-46.877	-43.450	+340
912	dpn68b.ra_in1k	288	30.067	69.933	48.183	51.817	12.61	1.000	bicubic	-49.283	-46.247	+130
913	efficientnet_el.ra_in1k	300	30.042	69.958	48.836	51.164	10.59	0.904	bicubic	-51.264	-46.704	-123
914	legacy_senet154.in1k	224	30.034	69.966	48.014	51.986	115.09	0.875	bilinear	-51.294	-47.488	-126
915	halo2botnet50ts_256.a1h_in1k	256	30.028	69.972	48.508	51.492	22.64	0.950	bicubic	-52.056	-47.151	-229
916	resnet34d.ra2_in1k	224	30.020	69.980	49.130	50.870	21.82	0.950	bicubic	-46.950	-44.335	+332
917	tf_efficientnet_b2.aa_in1k	260	30.016	69.984	49.614	50.386	9.11	0.890	bicubic	-50.066	-45.300	+42
918	xcit_tiny_12_p16_224.fb_dist_in1k	224	30.010	69.990	49.671	50.329	6.72	1.000	bicubic	-48.568	-44.539	+203
919	mobilevitv2_150.cvnets_in22k_ft_in1k	256	30.003	69.997	49.280	50.720	10.59	0.888	bicubic	-51.467	-46.392	-152
920	fbnetv3_d.ra2_in1k	224	29.999	70.001	49.930	50.070	10.31	0.950	bilinear	-48.657	-44.524	+197
921	dpn98.mx_in1k	224	29.973	70.027	48.172	51.828	61.57	0.875	bicubic	-49.683	-46.470	+92
922	resnext50_32x4d.a1h_in1k	288	29.969	70.031	48.232	51.768	25.03	1.000	bicubic	-52.043	-47.700	-225
923	resnetv2_50d_gn.ah_in1k	288	29.950	70.050	48.232	51.768	25.57	1.000	bicubic	-52.013	-47.704	-218
924	dpn131.mx_in1k	224	29.942	70.058	48.050	51.950	79.25	0.875	bicubic	-49.894	-46.490	+65
925	dpn92.mx_in1k	224	29.936	70.064	49.127	50.873	37.67	0.875	bicubic	-50.092	-45.752	+40
926	resnetv2_101x1_bit.goog_in21k_ft_in1k	448	29.910	70.090	51.113	48.887	44.54	1.000	bilinear	-52.422	-45.413	-280
927	senet154.gluon_in1k	224	29.889	70.111	47.885	52.115	115.09	0.875	bicubic	-51.369	-47.307	-128
928	convnextv2_pico.fcmae_ft_in1k	288	29.875	70.125	48.781	51.219	9.07	0.950	bicubic	-51.193	-46.693	-102
929	legacy_xception.tf_in1k	299	29.873	70.127	48.718	51.282	22.86	0.897	bicubic	-49.177	-45.668	+149
930	resnet50.tv2_in1k	224	29.869	70.131	48.046	51.954	25.56	0.965	bilinear	-50.975	-47.374	-72
931	tf_efficientnet_b4.in1k	380	29.863	70.137	49.066	50.934	19.34	0.922	bicubic	-52.739	-47.062	-328
932	cs3sedarknet_l.c2ns_in1k	288	29.824	70.176	49.091	50.909	21.91	0.950	bicubic	-51.946	-46.869	-200
933	inception_v3.tf_adv_in1k	299	29.820	70.180	47.859	52.141	23.83	0.875	bicubic	-47.776	-45.867	+274
934	resnet152.a2_in1k	288	29.814	70.186	45.947	54.053	60.19	1.000	bicubic	-52.810	-49.797	-336
935	efficientvit_b1.r224_in1k	224	29.806	70.194	48.246	51.754	9.10	0.950	bicubic	-49.434	-46.048	+123
936	resnext50_32x4d.a1_in1k	224	29.800	70.200	46.670	53.330	25.03	1.000	bicubic	-50.658	-47.634	-25
937	resnetaa50.a1h_in1k	288	29.796	70.204	47.991	52.009	25.56	1.000	bicubic	-51.812	-47.817	-192
938	vit_base_patch16_384.augreg_in1k	384	29.788	70.212	48.346	51.654	86.86	1.000	bicubic	-51.308	-46.982	-117
939	ese_vovnet39b.ra_in1k	288	29.751	70.249	49.060	50.940	24.57	0.950	bicubic	-50.627	-46.300	-20
940	resmlp_36_224.fb_in1k	224	29.739	70.261	48.916	51.084	44.69	0.875	bicubic	-50.033	-45.628	+55
941	lamhalobotnet50ts_256.a1h_in1k	256	29.731	70.269	48.386	51.614	22.57	0.950	bicubic	-51.817	-47.106	-188
942	fbnetv3_d.ra2_in1k	256	29.726	70.275	49.470	50.530	10.31	0.950	bilinear	-49.943	-45.486	+69
943	resnet101.a3_in1k	160	29.714	70.286	47.669	52.331	44.55	0.950	bicubic	-48.214	-46.575	+238
944	efficientvit_b1.r256_in1k	256	29.706	70.294	48.264	51.736	9.10	1.000	bicubic	-50.048	-46.522	+53
945	convnext_nano.d1h_in1k	288	29.696	70.304	47.926	52.074	15.59	1.000	bicubic	-51.778	-47.744	-179
946	ecaresnet50t.a1_in1k	224	29.686	70.314	47.649	52.351	25.57	1.000	bicubic	-51.572	-47.709	-146
947	fastvit_sa12.apple_in1k	256	29.678	70.322	48.572	51.428	11.58	0.900	bicubic	-51.162	-46.772	-88
948	resnet50.c1_in1k	288	29.669	70.332	48.476	51.524	25.56	1.000	bicubic	-51.259	-47.078	-105
949	resnet50.a1_in1k	224	29.657	70.343	46.973	53.027	25.56	1.000	bicubic	-50.505	-47.563	+5
950	vit_base_patch32_384.augreg_in1k	384	29.655	70.345	48.993	51.007	88.30	1.000	bicubic	-49.099	-45.243	+156
951	fastvit_t12.apple_dist_in1k	256	29.645	70.355	48.517	51.483	7.55	0.900	bicubic	-50.719	-46.525	-30
952	cs3darknet_focus_l.c2ns_in1k	256	29.621	70.379	48.480	51.520	21.15	0.950	bicubic	-50.699	-46.828	-24
953	convnext_pico.d1_in1k	224	29.588	70.412	48.439	51.561	9.05	0.950	bicubic	-49.908	-45.675	+71
954	ecaresnet50d.miil_in1k	288	29.576	70.424	48.985	51.015	25.58	0.950	bicubic	-52.066	-46.901	-213
955	nest_tiny_jx.goog_in1k	224	29.564	70.436	46.990	53.010	17.06	0.875	bicubic	-51.864	-48.636	-180
956	resnet152.a3_in1k	224	29.523	70.477	47.032	52.968	60.19	0.950	bicubic	-51.025	-47.972	-61
957	gcresnext50ts.ch_in1k	288	29.517	70.483	47.849	52.151	15.67	1.000	bicubic	-51.719	-47.687	-153
958	efficientnet_em.ra2_in1k	240	29.496	70.504	48.940	51.060	6.90	0.882	bicubic	-49.768	-45.856	+96
959	resnext50_32x4d.tv2_in1k	224	29.488	70.512	47.222	52.778	25.03	0.965	bilinear	-51.688	-48.126	-148
960	cs3darknet_l.c2ns_in1k	288	29.486	70.514	48.242	51.758	21.16	0.950	bicubic	-51.398	-47.426	-112
961	resnetv2_50.a1h_in1k	288	29.448	70.552	47.495	52.505	25.55	1.000	bicubic	-51.960	-48.217	-182
962	resnext101_32x8d.tv_in1k	224	29.442	70.558	48.488	51.512	88.79	0.875	bilinear	-49.871	-46.036	+85
963	deit_small_patch16_224.fb_in1k	224	29.442	70.558	48.166	51.834	22.05	0.900	bicubic	-50.419	-46.890	+21
964	resnet50_gn.a1h_in1k	224	29.439	70.561	48.337	51.663	25.56	0.950	bicubic	-50.491	-46.649	+5
965	mobileone_s4.apple_in1k	224	29.439	70.561	47.997	52.003	14.95	0.900	bilinear	-50.007	-46.493	+67
966	sebotnet33ts_256.a1h_in1k	256	29.437	70.563	47.157	52.843	13.70	0.940	bicubic	-51.727	-48.008	-153
967	nf_regnet_b1.ra2_in1k	288	29.423	70.577	49.421	50.579	10.22	0.900	bicubic	-49.945	-45.305	+71
968	resnet50d.a1_in1k	224	29.423	70.577	46.395	53.605	25.58	1.000	bicubic	-51.117	-48.239	-71
969	resnet50.fb_ssl_yfcc100m_ft_in1k	224	29.419	70.581	49.783	50.217	25.56	0.875	bilinear	-49.833	-45.043	+87
970	coat_lite_mini.in1k	224	29.403	70.597	47.672	52.328	11.01	0.900	bicubic	-49.695	-46.930	+103
971	cait_xxs24_384.fb_dist_in1k	384	29.393	70.607	48.739	51.261	12.03	1.000	bicubic	-51.569	-46.903	-135
972	convnext_pico_ols.d1_in1k	224	29.390	70.611	48.152	51.848	9.06	1.000	bicubic	-49.933	-46.574	+73
973	resnetv2_50d_evos.ah_in1k	288	29.390	70.611	47.272	52.728	25.59	1.000	bicubic	-52.603	-48.624	-272
974	repvit_m1.dist_in1k	224	29.384	70.616	48.525	51.475	5.49	0.950	bicubic	-49.158	-45.557	+149
975	edgenext_small_rw.sw_in1k	320	29.368	70.632	48.728	51.272	7.83	1.000	bicubic	-51.084	-46.478	-63
976	swin_tiny_patch4_window7_224.ms_in1k	224	29.350	70.650	47.584	52.416	28.29	0.900	bicubic	-52.038	-47.956	-195
977	resnet34.a1_in1k	224	29.346	70.654	47.466	52.534	21.80	1.000	bicubic	-46.852	-45.290	+306
978	convnext_nano_ols.d1h_in1k	288	29.342	70.658	47.411	52.589	15.65	1.000	bicubic	-52.270	-48.215	-234
979	regnetz_b16.ra3_in1k	288	29.327	70.673	47.896	52.104	9.72	1.000	bicubic	-51.413	-47.634	-109
980	cait_xxs24_224.fb_dist_in1k	224	29.309	70.691	48.525	51.475	11.96	1.000	bicubic	-49.083	-45.809	+160
981	eca_resnet33ts.ra2_in1k	288	29.276	70.725	48.910	51.090	19.68	1.000	bicubic	-51.440	-46.472	-108
982	resnet50.d_in1k	288	29.270	70.730	47.220	52.780	25.56	1.000	bicubic	-51.742	-48.236	-150
983	pvt_v2_b1.in1k	224	29.260	70.740	48.958	51.042	14.01	0.900	bicubic	-49.442	-45.535	+129
984	maxvit_rmlp_pico_rw_256.sw_in1k	256	29.248	70.752	47.737	52.263	7.52	0.950	bicubic	-51.302	-47.449	-90
985	resnet50.c2_in1k	288	29.248	70.752	47.152	52.848	25.56	1.000	bicubic	-51.612	-48.382	-128
986	poolformer_s24.sail_in1k	224	29.209	70.791	48.128	51.872	21.39	0.900	bicubic	-51.091	-46.932	-53
987	gcvit_xxtiny.in1k	224	29.195	70.805	48.374	51.626	12.00	0.875	bicubic	-50.557	-46.686	+11
988	tresnet_l.miil_in1k_448	448	29.183	70.817	47.262	52.738	55.99	0.875	bilinear	-53.095	-48.726	-330
989	resnext50_32x4d.tv2_in1k	176	29.179	70.821	47.077	52.923	25.03	0.965	bilinear	-49.851	-47.055	+91
990	seresnet50.ra2_in1k	288	29.156	70.844	47.727	52.273	28.09	0.950	bicubic	-52.126	-47.925	-193
991	seresnet33ts.ra2_in1k	256	29.148	70.852	48.834	51.166	19.78	1.000	bicubic	-51.182	-46.268	-65
992	inception_v3.gluon_in1k	299	29.144	70.856	46.979	53.021	23.83	0.875	bicubic	-49.660	-47.395	+108
993	lambda_resnet50ts.a1h_in1k	256	29.128	70.872	46.971	53.029	21.54	0.950	bicubic	-52.058	-48.123	-184
994	darknetaa53.c2ns_in1k	256	29.114	70.886	47.782	52.218	36.02	1.000	bilinear	-50.732	-47.208	-7
995	resnet101.a2_in1k	288	29.095	70.905	45.733	54.267	44.55	1.000	bicubic	-53.129	-50.005	-330
996	xception71.tf_in1k	299	29.069	70.931	47.395	52.605	42.34	0.903	bicubic	-50.839	-47.515	-20
997	resnet34d.ra2_in1k	288	29.014	70.986	48.077	51.923	21.82	0.950	bicubic	-49.426	-46.271	+139
998	hrnet_w64.ms_in1k	224	29.010	70.990	47.126	52.874	128.06	0.875	bilinear	-50.458	-47.524	+30
999	cs3darknet_focus_l.c2ns_in1k	288	28.981	71.019	47.619	52.381	21.15	0.950	bicubic	-51.917	-48.055	-153
1000	regnetx_032.tv2_in1k	224	28.975	71.025	47.053	52.947	15.30	0.965	bicubic	-51.951	-48.215	-156
1001	vit_small_patch32_384.augreg_in21k_ft_in1k	384	28.920	71.080	48.944	51.056	22.92	1.000	bicubic	-51.562	-46.662	-99
1002	xcit_tiny_12_p8_224.fb_in1k	224	28.916	71.084	47.495	52.505	6.71	1.000	bicubic	-50.796	-47.224	+2
1003	darknet53.c2ns_in1k	256	28.906	71.094	47.865	52.135	41.61	1.000	bicubic	-51.168	-47.243	-41
1004	tf_efficientnet_b0.ns_jft_in1k	224	28.902	71.098	48.967	51.033	5.29	0.875	bicubic	-49.786	-45.401	+110
1005	resnet101.gluon_in1k	224	28.900	71.100	46.419	53.581	44.55	0.875	bicubic	-50.406	-48.119	+44
1006	xception65.tf_in1k	299	28.886	71.114	47.140	52.860	39.92	0.903	bicubic	-50.668	-47.520	+12
1007	tf_efficientnet_b1.aa_in1k	240	28.883	71.118	47.553	52.447	7.79	0.882	bicubic	-49.970	-46.645	+88
1008	halonet50ts.a1h_in1k	256	28.855	71.145	46.493	53.507	22.73	0.940	bicubic	-52.795	-49.121	-268
1009	mobilevitv2_150.cvnets_in22k_ft_in1k_384	384	28.853	71.147	47.924	52.076	10.59	1.000	bicubic	-53.753	-48.386	-407
1010	skresnext50_32x4d.ra_in1k	224	28.843	71.157	46.476	53.524	27.48	0.875	bicubic	-51.323	-48.168	-58
1011	resnet50d.a2_in1k	224	28.792	71.208	45.778	54.222	25.58	1.000	bicubic	-51.372	-48.870	-58
1012	sehalonet33ts.ra2_in1k	256	28.784	71.216	46.574	53.426	13.69	0.940	bicubic	-52.192	-48.700	-178
1013	levit_conv_256.fb_dist_in1k	224	28.770	71.230	46.723	53.277	18.89	0.900	bicubic	-52.736	-49.365	-252
1014	levit_256.fb_dist_in1k	224	28.768	71.231	46.729	53.271	18.89	0.900	bicubic	-52.739	-48.763	-255
1015	hgnet_tiny.paddle_in1k	288	28.767	71.234	47.749	52.251	14.74	1.000	bicubic	-51.881	-47.793	-128
1016	resnet50.ra_in1k	288	28.765	71.235	47.342	52.658	25.56	0.950	bicubic	-51.093	-47.628	-32
1017	seresnet50.a1_in1k	224	28.765	71.235	45.851	54.149	28.09	1.000	bicubic	-51.303	-48.747	-53
1018	tf_efficientnet_lite3.in1k	300	28.759	71.241	47.490	52.510	8.20	0.904	bilinear	-51.073	-47.380	-27
1019	ecaresnet50t.a2_in1k	224	28.713	71.287	45.821	54.179	25.57	1.000	bicubic	-52.055	-49.147	-152
1020	mobileone_s3.apple_in1k	224	28.696	71.304	47.539	52.461	10.17	0.900	bilinear	-49.306	-46.325	+154
1021	darknetaa53.c2ns_in1k	288	28.660	71.340	46.961	53.039	36.02	1.000	bilinear	-51.868	-48.367	-123
1022	skresnet34.ra_in1k	224	28.657	71.344	47.985	52.015	22.28	0.875	bicubic	-48.300	-45.333	+228
1023	resnetblur50.bt_in1k	288	28.653	71.347	46.924	53.076	25.56	0.950	bicubic	-51.595	-48.276	-81
1024	seresnext50_32x4d.gluon_in1k	224	28.643	71.357	46.438	53.562	27.56	0.875	bicubic	-51.275	-48.378	-52
1025	hrnet_w40.ms_in1k	224	28.637	71.363	47.444	52.556	57.56	0.875	bilinear	-50.287	-47.034	+64
1026	tf_efficientnetv2_b0.in1k	192	28.625	71.375	47.415	52.585	7.14	0.875	bicubic	-48.279	-45.753	+227
1027	swinv2_tiny_window8_256.ms_in1k	256	28.615	71.385	46.177	53.823	28.35	0.900	bicubic	-53.209	-49.811	-301
1028	mobilevitv2_175.cvnets_in22k_ft_in1k_384	384	28.609	71.391	47.136	52.864	14.25	1.000	bicubic	-54.331	-49.290	-479
1029	tf_efficientnetv2_b1.in1k	192	28.594	71.406	47.458	52.542	8.14	0.882	bicubic	-49.336	-46.364	+150
1030	tf_efficientnet_b3.in1k	300	28.574	71.426	48.002	51.998	12.23	0.904	bicubic	-52.304	-47.323	-179
1031	tf_efficientnetv2_b0.in1k	224	28.570	71.430	47.112	52.888	7.14	0.875	bicubic	-49.810	-46.914	+111
1032	resnet152.tv_in1k	224	28.550	71.450	47.146	52.854	60.19	0.875	bilinear	-49.780	-46.990	+113
1033	poolformerv2_s12.sail_in1k	224	28.543	71.457	47.411	52.589	11.89	1.000	bicubic	-49.465	-46.453	+140
1034	eva02_tiny_patch14_336.mim_in22k_ft_in1k	336	28.539	71.461	47.529	52.471	5.76	1.000	bicubic	-52.133	-47.997	-152
1035	xcit_tiny_12_p16_224.fb_in1k	224	28.507	71.493	47.372	52.628	6.72	1.000	bicubic	-48.635	-46.358	+203
1036	ecaresnet50t.a1_in1k	288	28.472	71.528	45.546	54.454	25.57	1.000	bicubic	-53.642	-50.108	-355
1037	repvgg_b2.rvgg_in1k	224	28.428	71.572	47.036	52.964	89.02	0.875	bilinear	-50.365	-47.378	+65
1038	tf_efficientnet_b0.ap_in1k	224	28.427	71.573	47.553	52.447	5.29	0.875	bicubic	-48.679	-45.709	+201
1039	dla102x2.in1k	224	28.411	71.589	46.759	53.241	41.28	0.875	bilinear	-51.037	-47.895	-8
1040	hrnet_w48.ms_in1k	224	28.407	71.593	47.590	52.410	77.47	0.875	bilinear	-50.917	-46.944	+5
1041	resnext50_32x4d.gluon_in1k	224	28.403	71.597	45.350	54.650	25.03	0.875	bicubic	-50.951	-49.074	-1
1042	dla169.in1k	224	28.379	71.621	47.403	52.597	53.39	0.875	bilinear	-50.317	-46.933	+71
1043	efficientnet_b2_pruned.in1k	260	28.370	71.630	47.065	52.935	8.31	0.890	bicubic	-51.542	-47.777	-68
1044	tf_efficientnet_cc_b0_4e.in1k	224	28.356	71.644	47.362	52.638	13.31	0.875	bicubic	-48.968	-45.972	+179
1045	convnextv2_femto.fcmae_ft_in1k	224	28.354	71.646	47.498	52.502	5.23	0.950	bicubic	-49.916	-46.472	+106
1046	swinv2_cr_tiny_ns_224.sw_in1k	224	28.348	71.652	45.947	54.053	28.33	0.900	bicubic	-53.448	-49.877	-318
1047	gcresnet33ts.ra2_in1k	256	28.332	71.668	47.150	52.850	19.88	1.000	bicubic	-51.590	-47.858	-77
1048	darknet53.c2ns_in1k	288	28.319	71.681	46.888	53.112	41.61	1.000	bicubic	-52.224	-48.538	-152
1049	resnext50_32x4d.ra_in1k	288	28.317	71.683	46.134	53.866	25.03	0.950	bicubic	-52.389	-49.224	-174
1050	ecaresnet50t.a3_in1k	160	28.289	71.711	46.148	53.852	25.57	0.950	bicubic	-49.493	-47.470	+145
1051	mixnet_xl.ra_in1k	224	28.275	71.725	46.725	53.275	11.90	0.875	bicubic	-52.215	-48.213	-150
1052	resnext50_32x4d.a2_in1k	224	28.259	71.740	44.607	55.393	25.03	1.000	bicubic	-52.064	-49.927	-125
1053	resnet50d.gluon_in1k	224	28.234	71.766	45.922	54.078	25.58	0.875	bicubic	-50.846	-48.536	+22
1054	seresnet33ts.ra2_in1k	288	28.212	71.788	47.570	52.430	19.78	1.000	bicubic	-52.602	-47.776	-191
1055	resnet50.a1_in1k	288	28.191	71.809	44.919	55.081	25.56	1.000	bicubic	-53.049	-50.193	-252
1056	fastvit_s12.apple_in1k	256	28.149	71.850	46.672	53.328	9.47	0.900	bicubic	-51.790	-48.124	-88
1057	wide_resnet101_2.tv_in1k	224	28.130	71.870	46.570	53.430	126.89	0.875	bilinear	-50.718	-47.742	+39
1058	resnet101c.gluon_in1k	224	28.128	71.872	45.977	54.023	44.57	0.875	bicubic	-51.414	-48.611	-37
1059	densenet161.tv_in1k	224	28.116	71.884	46.653	53.347	28.68	0.875	bicubic	-49.234	-47.001	+163
1060	ecaresnet50d_pruned.miil_in1k	288	28.095	71.906	47.059	52.941	19.94	0.950	bicubic	-52.714	-48.185	-196
1061	resnext50_32x4d.a1_in1k	288	28.091	71.909	44.825	55.175	25.03	1.000	bicubic	-53.393	-50.337	-297
1062	resnet34.a1_in1k	288	28.089	71.911	45.713	54.287	21.80	1.000	bicubic	-49.849	-48.035	+116
1063	regnetx_320.pycls_in1k	224	28.079	71.921	45.122	54.878	107.81	0.875	bicubic	-52.183	-49.890	-122
1064	regnety_320.pycls_in1k	224	28.073	71.927	45.456	54.544	145.05	0.875	bicubic	-52.735	-50.122	-199
1065	resnet33ts.ra2_in1k	256	28.055	71.945	46.352	53.648	19.68	1.000	bicubic	-51.081	-48.336	+4
1066	seresnet50.a2_in1k	224	28.055	71.945	44.927	55.073	28.09	1.000	bicubic	-51.865	-49.737	-95
1067	gernet_s.idstcv_in1k	224	28.045	71.955	46.741	53.259	8.17	0.875	bilinear	-48.859	-46.405	+187
1068	mobilevitv2_175.cvnets_in1k	256	28.035	71.965	46.100	53.900	14.25	0.888	bicubic	-52.838	-49.016	-216
1069	fbnetv3_b.ra2_in1k	224	28.032	71.968	47.753	52.247	8.60	0.950	bilinear	-50.130	-46.489	+90
1070	resnext50_32x4d.a3_in1k	160	28.016	71.984	45.591	54.409	25.03	0.950	bicubic	-49.718	-48.129	+128
1071	efficientnet_el_pruned.in1k	300	28.010	71.990	46.796	53.204	10.59	0.904	bicubic	-52.284	-48.422	-136
1072	levit_conv_192.fb_dist_in1k	224	28.006	71.994	45.884	54.116	10.95	0.900	bicubic	-51.854	-48.918	-88
1073	levit_192.fb_dist_in1k	224	28.002	71.998	45.880	54.120	10.95	0.900	bicubic	-51.848	-48.924	-87
1074	resnet32ts.ra2_in1k	256	27.986	72.014	46.464	53.536	17.96	1.000	bicubic	-50.976	-47.934	+9
1075	vit_base_patch16_224.augreg_in1k	224	27.983	72.017	45.731	54.269	86.57	0.900	bicubic	-51.159	-48.359	-7
1076	fastvit_t12.apple_in1k	256	27.939	72.061	46.393	53.607	7.55	0.900	bicubic	-51.337	-48.177	-24
1077	resnet101.a3_in1k	224	27.937	72.063	45.023	54.977	44.55	0.950	bicubic	-51.885	-49.593	-85
1078	resnet50d.a3_in1k	160	27.935	72.065	45.303	54.697	25.58	0.950	bicubic	-49.287	-47.953	+154
1079	resnet50_gn.a1h_in1k	288	27.933	72.067	46.100	53.900	25.56	0.950	bicubic	-53.279	-49.534	-272
1080	xception41.tf_in1k	299	27.896	72.104	45.908	54.092	26.97	0.903	bicubic	-50.628	-48.382	+44
1081	resnetrs50.tf_in1k	160	27.865	72.135	46.676	53.324	35.69	0.910	bicubic	-49.985	-47.138	+106
1082	densenetblur121d.ra_in1k	224	27.837	72.163	47.160	52.840	8.00	0.950	bicubic	-48.675	-46.038	+192
1083	regnetx_160.pycls_in1k	224	27.831	72.169	45.633	54.367	54.28	0.875	bicubic	-52.035	-49.193	-101
1084	dpn68b.mx_in1k	224	27.827	72.173	47.378	52.622	12.61	0.875	bicubic	-49.687	-46.478	+128
1085	res2net101_26w_4s.in1k	224	27.804	72.196	45.185	54.815	45.21	0.875	bilinear	-51.382	-49.279	-21
1086	inception_v3.tf_in1k	299	27.782	72.218	45.701	54.299	23.83	0.875	bicubic	-50.084	-47.939	+100
1087	resnet50d.a1_in1k	288	27.776	72.224	44.395	55.605	25.58	1.000	bicubic	-53.668	-50.829	-316
1088	repghostnet_200.in1k	224	27.756	72.243	46.313	53.687	9.80	0.875	bicubic	-51.034	-48.023	+15
1089	tf_efficientnetv2_b1.in1k	240	27.747	72.253	46.570	53.430	8.14	0.882	bicubic	-51.771	-48.012	-67
1090	resnet50.a2_in1k	224	27.733	72.267	44.507	55.493	25.56	1.000	bicubic	-52.171	-49.995	-111
1091	mobilevitv2_200.cvnets_in1k	256	27.723	72.277	45.833	54.167	18.45	0.888	bicubic	-53.425	-49.549	-276
1092	vit_base_patch16_224.sam_in1k	224	27.717	72.283	45.106	54.894	86.57	0.900	bicubic	-52.525	-49.662	-148
1093	fbnetv3_b.ra2_in1k	256	27.652	72.348	46.989	53.011	8.60	0.950	bilinear	-51.502	-47.743	-26
1094	repvgg_b1.rvgg_in1k	224	27.652	72.348	46.511	53.489	57.42	0.875	bilinear	-50.720	-47.597	+49
1095	inception_v3.tv_in1k	299	27.650	72.350	45.261	54.739	23.83	0.875	bicubic	-49.824	-48.213	+119
1096	hrnet_w44.ms_in1k	224	27.631	72.369	45.843	54.157	67.06	0.875	bilinear	-51.251	-48.531	-2
1097	regnety_160.pycls_in1k	224	27.601	72.399	45.538	54.462	83.59	0.875	bicubic	-52.683	-49.444	-160
1098	resnet50.am_in1k	224	27.580	72.420	45.361	54.639	25.56	0.875	bicubic	-51.424	-49.030	-17
1099	resmlp_24_224.fb_in1k	224	27.570	72.430	45.700	54.300	30.02	0.875	bicubic	-51.810	-48.850	-63
1100	tiny_vit_5m_224.in1k	224	27.481	72.519	45.863	54.137	5.39	0.950	bicubic	-51.715	-48.939	-37
1101	resnext50d_32x4d.bt_in1k	224	27.476	72.525	45.248	54.752	25.05	0.950	bicubic	-52.231	-49.644	-94
1102	pit_xs_224.in1k	224	27.474	72.526	45.841	54.159	10.62	0.900	bicubic	-50.739	-48.309	+54
1103	hrnet_w30.ms_in1k	224	27.416	72.584	46.521	53.479	37.71	0.875	bilinear	-50.797	-47.693	+52
1104	gcresnet33ts.ra2_in1k	288	27.401	72.599	46.145	53.855	19.88	1.000	bicubic	-53.187	-49.177	-212
1105	regnetx_080.pycls_in1k	224	27.385	72.615	44.996	55.004	39.57	0.875	bicubic	-51.831	-49.552	-44
1106	convnext_pico.d1_in1k	288	27.381	72.619	45.664	54.336	9.05	0.950	bicubic	-53.049	-49.396	-192
1107	hrnet_w32.ms_in1k	224	27.369	72.631	46.012	53.988	41.23	0.875	bilinear	-51.089	-48.172	+26
1108	vit_small_patch16_384.augreg_in1k	384	27.361	72.638	46.124	53.876	22.20	1.000	bicubic	-53.773	-49.452	-290
1109	resnet33ts.ra2_in1k	288	27.340	72.660	45.200	54.800	19.68	1.000	bicubic	-52.368	-49.614	-103
1110	resnet50s.gluon_in1k	224	27.332	72.668	45.253	54.747	25.68	0.875	bicubic	-51.378	-48.995	+1
1111	res2net50_26w_8s.in1k	224	27.303	72.697	44.815	55.185	48.40	0.875	bilinear	-51.643	-49.481	-24
1112	convnext_pico_ols.d1_in1k	288	27.297	72.703	45.644	54.356	9.06	1.000	bicubic	-53.165	-49.602	-203
1113	densenet201.tv_in1k	224	27.279	72.721	46.212	53.788	20.01	0.875	bicubic	-50.005	-47.268	+116
1114	ecaresnet50t.a2_in1k	288	27.273	72.727	44.051	55.949	25.57	1.000	bicubic	-54.409	-51.481	-376
1115	ghostnetv2_160.in1k	224	27.263	72.737	46.389	53.611	12.39	0.875	bicubic	-50.573	-47.553	+74
1116	densenet121.ra_in1k	224	27.236	72.764	46.812	53.188	7.98	0.950	bicubic	-48.256	-45.802	+190
1117	efficientnet_b1_pruned.in1k	240	27.224	72.776	45.963	54.037	6.33	0.882	bicubic	-51.028	-47.857	+34
1118	regnety_064.pycls_in1k	224	27.224	72.776	44.855	55.145	30.58	0.875	bicubic	-52.504	-50.181	-115
1119	ecaresnet26t.ra2_in1k	256	27.183	72.817	45.951	54.049	16.01	0.950	bicubic	-51.771	-48.651	-35
1120	tf_efficientnetv2_b2.in1k	260	27.169	72.831	44.577	55.423	10.10	0.890	bicubic	-53.057	-50.433	-173
1121	resnetrs50.tf_in1k	224	27.153	72.847	45.067	54.933	35.69	0.910	bicubic	-52.763	-49.907	-148
1122	vit_base_patch32_224.augreg_in1k	224	27.147	72.853	45.222	54.778	88.22	0.900	bicubic	-47.759	-46.548	+204
1123	seresnet50.a1_in1k	288	27.100	72.900	43.599	56.401	28.09	1.000	bicubic	-53.996	-51.519	-301
1124	resnet50d.a2_in1k	288	27.094	72.906	43.840	56.160	25.58	1.000	bicubic	-54.072	-51.259	-312
1125	convnext_femto.d1_in1k	224	27.078	72.921	45.652	54.348	5.22	0.950	bicubic	-50.520	-48.144	+81
1126	rexnet_130.nav_in1k	224	27.075	72.925	45.929	54.071	7.56	0.875	bicubic	-52.417	-48.753	-100
1127	dla102x.in1k	224	27.051	72.949	45.491	54.509	26.31	0.875	bilinear	-51.453	-48.735	-2
1128	gmixer_24_224.ra3_in1k	224	27.031	72.969	44.373	55.627	24.72	0.875	bicubic	-51.017	-49.281	+40
1129	resnet101.tv_in1k	224	26.974	73.026	45.240	54.760	44.55	0.875	bilinear	-50.430	-48.312	+92
1130	resnet32ts.ra2_in1k	288	26.931	73.069	45.065	54.935	17.96	1.000	bicubic	-52.457	-49.611	-95
1131	convnextv2_atto.fcmae_ft_in1k	224	26.902	73.098	44.866	55.134	3.71	0.950	bicubic	-49.624	-48.240	+141
1132	regnetx_120.pycls_in1k	224	26.870	73.130	44.676	55.324	46.11	0.875	bicubic	-52.738	-50.058	-116
1133	rexnet_100.nav_in1k	224	26.868	73.132	45.363	54.637	4.80	0.875	bicubic	-50.980	-48.515	+55
1134	densenet169.tv_in1k	224	26.862	73.138	45.419	54.581	14.15	0.875	bicubic	-49.060	-47.557	+160
1135	regnety_120.pycls_in1k	224	26.811	73.189	44.491	55.509	51.82	0.875	bicubic	-53.567	-51.207	-215
1136	legacy_seresnext101_32x4d.in1k	224	26.802	73.198	43.475	56.525	48.96	0.875	bilinear	-53.472	-51.557	-198
1137	convnext_femto_ols.d1_in1k	224	26.799	73.201	45.200	54.800	5.23	0.950	bicubic	-50.879	-48.790	+63
1138	regnetx_064.pycls_in1k	224	26.792	73.208	44.937	55.063	26.21	0.875	bicubic	-52.268	-49.535	-62
1139	tinynet_a.in1k	192	26.778	73.222	45.086	54.914	6.19	0.875	bicubic	-50.886	-48.444	+62
1140	res2net101d.in1k	224	26.729	73.271	44.365	55.635	45.23	0.875	bilinear	-54.525	-50.983	-339
1141	regnetx_032.pycls_in1k	224	26.705	73.295	45.251	54.749	15.30	0.875	bicubic	-51.461	-48.839	+17
1142	resnext50_32x4d.a2_in1k	288	26.689	73.311	42.744	57.256	25.03	1.000	bicubic	-54.609	-52.366	-348
1143	legacy_seresnet152.in1k	224	26.682	73.318	43.956	56.044	66.82	0.875	bilinear	-51.976	-50.426	-27
1144	efficientvit_m5.r224_in1k	224	26.666	73.334	44.921	55.079	12.47	0.875	bicubic	-50.416	-48.245	+98
1145	resnet34.a2_in1k	224	26.644	73.356	44.002	55.998	21.80	1.000	bicubic	-48.870	-48.388	+160
1146	efficientnet_es.ra_in1k	224	26.642	73.358	45.114	54.886	5.44	0.875	bicubic	-51.450	-48.818	+20
1147	dla60x.in1k	224	26.634	73.366	45.025	54.975	17.35	0.875	bilinear	-51.598	-48.995	+7
1148	res2net50_26w_6s.in1k	224	26.599	73.401	43.996	56.004	37.05	0.875	bilinear	-51.985	-50.110	-28
1149	seresnet50.a3_in1k	160	26.591	73.409	44.740	55.260	28.09	0.950	bicubic	-48.509	-47.356	+169
1150	repvgg_b1g4.rvgg_in1k	224	26.585	73.415	45.104	54.896	39.97	0.875	bilinear	-51.017	-48.740	+55
1151	resnet50.a3_in1k	160	26.572	73.428	44.226	55.774	25.56	0.950	bicubic	-49.422	-48.268	+139
1152	coat_lite_tiny.in1k	224	26.554	73.446	44.719	55.281	5.72	0.900	bicubic	-50.994	-49.205	+58
1153	regnety_080.pycls_in1k	224	26.540	73.460	44.395	55.605	39.18	0.875	bicubic	-53.342	-50.441	-172
1154	mobilenetv3_large_100.miil_in21k_ft_in1k	224	26.530	73.470	44.530	55.470	5.48	0.875	bilinear	-51.380	-48.356	+29
1155	tf_efficientnet_b0.aa_in1k	224	26.491	73.509	45.650	54.350	5.29	0.875	bicubic	-50.391	-47.620	+100
1156	res2net50_14w_8s.in1k	224	26.489	73.511	44.363	55.637	25.06	0.875	bilinear	-51.657	-49.487	+5
1157	tf_efficientnet_b2.in1k	260	26.481	73.519	44.772	55.228	9.11	0.890	bicubic	-53.133	-49.952	-142
1158	ecaresnet50t.a3_in1k	224	26.454	73.546	43.507	56.493	25.57	0.950	bicubic	-53.094	-51.203	-138
1159	resnet50.gluon_in1k	224	26.432	73.568	44.051	55.949	25.56	0.875	bicubic	-51.148	-49.653	+49
1160	mobileone_s2.apple_in1k	224	26.418	73.582	44.554	55.446	7.88	0.900	bilinear	-51.086	-49.110	+53
1161	tf_efficientnet_el.in1k	300	26.387	73.613	44.247	55.753	10.59	0.904	bicubic	-53.855	-50.871	-218
1162	lambda_resnet26t.c1_in1k	256	26.361	73.639	44.408	55.592	10.96	0.940	bicubic	-52.765	-50.146	-91
1163	levit_conv_128.fb_dist_in1k	224	26.361	73.639	44.143	55.857	9.21	0.900	bicubic	-52.127	-49.857	-35
1164	levit_128.fb_dist_in1k	224	26.349	73.650	44.121	55.879	9.21	0.900	bicubic	-52.137	-49.877	-35
1165	resmlp_12_224.fb_distilled_in1k	224	26.322	73.678	44.896	55.104	15.35	0.875	bicubic	-51.626	-48.674	+12
1166	resmlp_big_24_224.fb_in1k	224	26.318	73.682	43.554	56.446	129.14	0.875	bicubic	-54.718	-51.464	-336
1167	resnet26t.ra2_in1k	256	26.316	73.684	44.139	55.861	16.01	1.000	bicubic	-51.474	-49.669	+26
1168	regnetx_040.pycls_in1k	224	26.259	73.741	44.407	55.593	22.12	0.875	bicubic	-52.235	-49.836	-42
1169	visformer_tiny.in1k	224	26.257	73.743	44.206	55.794	10.32	0.900	bicubic	-51.903	-49.958	-9
1170	resnet50.bt_in1k	224	26.243	73.757	43.911	56.089	25.56	0.950	bicubic	-52.145	-50.391	-29
1171	mobilevitv2_150.cvnets_in1k	256	26.243	73.757	43.839	56.161	10.59	0.888	bicubic	-54.161	-51.203	-256
1172	vit_small_patch32_224.augreg_in21k_ft_in1k	224	26.208	73.792	45.120	54.880	22.88	0.900	bicubic	-49.788	-48.152	+117
1173	crossvit_9_dagger_240.in1k	240	26.177	73.823	44.562	55.438	8.78	0.875	bicubic	-50.809	-49.040	+74
1174	seresnet50.a2_in1k	288	26.165	73.835	42.681	57.319	28.09	1.000	bicubic	-54.927	-52.555	-351
1175	densenetblur121d.ra_in1k	288	26.163	73.837	45.047	54.953	8.00	0.950	bicubic	-51.147	-48.753	+49
1176	cs3darknet_focus_m.c2ns_in1k	256	26.123	73.876	44.797	55.203	9.30	0.950	bicubic	-50.604	-48.853	+84
1177	resnet50.a2_in1k	288	26.120	73.880	42.589	57.411	25.56	1.000	bicubic	-54.660	-52.389	-311
1178	resnet50d.a3_in1k	224	26.114	73.886	42.960	57.040	25.58	0.950	bicubic	-52.628	-51.276	-71
1179	resnext50_32x4d.a3_in1k	224	26.096	73.904	42.952	57.048	25.03	0.950	bicubic	-53.156	-51.348	-122
1180	efficientnet_b1.ft_in1k	256	26.084	73.916	44.047	55.953	7.79	1.000	bicubic	-52.716	-50.297	-79
1181	resnet34.a2_in1k	288	26.082	73.918	43.129	56.871	21.80	1.000	bicubic	-51.078	-50.147	+56
1182	convnextv2_femto.fcmae_ft_in1k	288	26.070	73.930	44.344	55.656	5.23	0.950	bicubic	-53.261	-50.258	-138
1183	mobilevitv2_125.cvnets_in1k	256	26.061	73.939	43.705	56.295	7.48	0.888	bicubic	-53.617	-51.139	-173
1184	lambda_resnet26rpt_256.c1_in1k	256	26.031	73.969	44.232	55.768	10.99	0.940	bicubic	-52.923	-50.190	-99
1185	dpn68.mx_in1k	224	26.012	73.989	44.065	55.935	12.61	0.875	bicubic	-50.326	-48.946	+95
1186	hardcorenas_c.miil_green_in1k	224	26.008	73.992	44.852	55.148	5.52	0.875	bilinear	-51.086	-48.339	+55
1187	fastvit_t8.apple_dist_in1k	256	25.992	74.008	44.424	55.576	4.03	0.900	bicubic	-51.178	-48.850	+49
1188	repghostnet_150.in1k	224	25.982	74.018	44.369	55.631	6.58	0.875	bicubic	-51.490	-49.375	+28
1189	hrnet_w18.ms_in1k	224	25.978	74.022	44.803	55.197	21.30	0.875	bilinear	-50.782	-48.643	+70
1190	hardcorenas_f.miil_green_in1k	224	25.966	74.034	44.222	55.778	8.20	0.875	bilinear	-52.140	-49.578	-26
1191	vit_small_patch16_224.augreg_in1k	224	25.956	74.043	43.960	56.040	22.05	0.900	bicubic	-52.886	-50.318	-94
1192	mobilenetv1_100h.ra4_e3600_r224_in1k	224	25.945	74.055	44.365	55.635	5.28	0.950	bicubic	-49.543	-48.191	+116
1193	regnety_040.pycls_in1k	224	25.925	74.075	43.862	56.138	20.65	0.875	bicubic	-53.311	-50.802	-134
1194	hrnet_w18_small_v2.gluon_in1k	224	25.911	74.089	43.817	56.183	15.60	0.875	bicubic	-52.273	-50.093	-37
1195	resnext50d_32x4d.bt_in1k	288	25.909	74.091	42.952	57.048	25.05	0.950	bicubic	-54.771	-52.354	-315
1196	resnet34.bt_in1k	224	25.907	74.093	43.636	56.364	21.80	0.950	bicubic	-49.001	-48.608	+129
1197	regnetx_016.tv2_in1k	224	25.888	74.112	43.357	56.643	9.19	0.965	bicubic	-53.564	-51.415	-167
1198	densenet121.ra_in1k	288	25.874	74.126	44.904	55.096	7.98	0.950	bicubic	-50.606	-48.470	+79
1199	res2net50_26w_4s.in1k	224	25.868	74.132	43.159	56.841	25.70	0.875	bilinear	-52.118	-50.667	-24
1200	coat_tiny.in1k	224	25.866	74.134	43.286	56.714	5.50	0.900	bicubic	-52.576	-50.750	-65
1201	tresnet_m.miil_in1k_448	448	25.860	74.140	42.883	57.117	31.39	0.875	bilinear	-55.850	-52.684	-466
1202	fastvit_t8.apple_in1k	256	25.850	74.150	44.110	55.890	4.03	0.900	bicubic	-50.334	-48.932	+82
1203	resnet50c.gluon_in1k	224	25.790	74.210	43.039	56.961	25.58	0.875	bicubic	-52.227	-50.955	-32
1204	efficientnet_b1.ft_in1k	224	25.768	74.232	43.618	56.382	7.79	1.000	bicubic	-51.640	-49.907	+16
1205	selecsls60.in1k	224	25.748	74.252	44.065	55.935	30.67	0.875	bicubic	-52.238	-49.797	-29
1206	halonet26t.a1h_in1k	256	25.738	74.262	43.235	56.765	12.48	0.950	bicubic	-53.396	-51.105	-136
1207	dla60_res2net.in1k	224	25.675	74.325	43.593	56.407	20.85	0.875	bilinear	-52.805	-50.609	-77
1208	poolformer_s12.sail_in1k	224	25.664	74.336	44.190	55.810	11.92	0.900	bicubic	-51.580	-49.348	+23
1209	hardcorenas_e.miil_green_in1k	224	25.660	74.340	43.436	56.564	8.07	0.875	bilinear	-52.130	-50.254	-15
1210	dla60_res2next.in1k	224	25.628	74.372	43.689	56.311	17.03	0.875	bilinear	-52.860	-50.455	-83
1211	eca_halonext26ts.c1_in1k	256	25.546	74.454	43.221	56.779	10.76	0.940	bicubic	-53.972	-51.488	-188
1212	ecaresnet26t.ra2_in1k	320	25.538	74.462	43.691	56.309	16.01	0.950	bicubic	-54.362	-51.379	-232
1213	convnext_femto.d1_in1k	288	25.532	74.468	43.664	56.336	5.22	0.950	bicubic	-53.178	-50.778	-103
1214	mixnet_l.ft_in1k	224	25.532	74.468	43.485	56.515	7.33	0.875	bicubic	-53.440	-50.697	-132
1215	resmlp_12_224.fb_in1k	224	25.526	74.474	44.355	55.645	15.35	0.875	bicubic	-51.134	-48.815	+48
1216	tf_efficientnet_lite1.in1k	240	25.524	74.476	43.611	56.389	5.42	0.882	bicubic	-51.148	-49.621	+46
1217	cs3darknet_focus_m.c2ns_in1k	288	25.506	74.493	43.764	56.236	9.30	0.950	bicubic	-51.785	-50.206	+9
1218	res2net50d.in1k	224	25.503	74.497	43.064	56.936	25.72	0.875	bilinear	-54.767	-51.956	-279
1219	bat_resnext26ts.ch_in1k	256	25.501	74.499	43.214	56.786	10.73	0.900	bicubic	-52.779	-50.650	-70
1220	repvgg_a2.rvgg_in1k	224	25.493	74.507	43.892	56.108	28.21	0.875	bilinear	-50.999	-49.124	+56
1221	resnext50_32x4d.tv_in1k	224	25.481	74.519	42.817	57.183	25.03	0.875	bilinear	-52.151	-50.857	-18
1222	cs3darknet_m.c2ns_in1k	256	25.438	74.562	43.927	56.073	9.31	0.950	bicubic	-51.586	-49.783	+23
1223	botnet26t_256.c1_in1k	256	25.436	74.564	42.628	57.372	12.49	0.950	bicubic	-53.818	-51.902	-168
1224	regnety_008_tv.tv2_in1k	224	25.424	74.576	43.436	56.564	6.43	0.965	bicubic	-53.234	-50.936	-109
1225	tf_mixnet_l.in1k	224	25.422	74.578	42.528	57.472	7.33	0.875	bicubic	-53.364	-51.468	-121
1226	res2next50.in1k	224	25.402	74.598	42.528	57.472	24.67	0.875	bilinear	-52.834	-51.376	-73
1227	convnext_femto_ols.d1_in1k	288	25.391	74.609	43.178	56.822	5.23	0.950	bicubic	-53.523	-51.368	-137
1228	hardcorenas_b.miil_green_in1k	224	25.385	74.615	44.165	55.835	5.18	0.875	bilinear	-51.167	-48.601	+40
1229	resnetv2_50x1_bit.goog_in21k_ft_in1k	448	25.355	74.645	45.373	54.627	25.55	1.000	bilinear	-55.023	-49.723	-311
1230	efficientformerv2_s0.snap_dist_in1k	224	25.355	74.645	43.923	56.077	3.60	0.950	bicubic	-50.767	-48.933	+56
1231	regnety_032.pycls_in1k	224	25.337	74.662	42.952	57.048	19.44	0.875	bicubic	-53.566	-51.486	-140
1232	wide_resnet50_2.tv_in1k	224	25.330	74.670	42.190	57.810	68.88	0.875	bilinear	-53.150	-51.896	-101
1233	hardcorenas_d.miil_green_in1k	224	25.328	74.672	43.176	56.824	7.50	0.875	bilinear	-52.122	-50.304	-16
1234	dla102.in1k	224	25.326	74.674	43.839	56.161	33.27	0.875	bilinear	-52.698	-50.107	-64
1235	legacy_seresnet101.in1k	224	25.326	74.674	42.823	57.177	49.33	0.875	bilinear	-53.070	-51.435	-96
1236	seresnext26ts.ch_in1k	256	25.322	74.678	43.803	56.197	10.39	1.000	bicubic	-52.444	-49.907	-40
1237	resnest14d.gluon_in1k	224	25.316	74.684	44.088	55.912	10.61	0.875	bilinear	-50.206	-48.418	+66
1238	mobilenetv1_100h.ra4_e3600_r224_in1k	256	25.316	74.684	43.872	56.128	5.28	0.950	bicubic	-51.278	-49.394	+28
1239	selecsls60b.in1k	224	25.314	74.686	43.497	56.503	32.77	0.875	bicubic	-53.096	-50.669	-101
1240	eca_resnext26ts.ch_in1k	256	25.308	74.692	43.862	56.138	10.30	1.000	bicubic	-52.114	-49.778	-21
1241	mobilenetv1_100.ra4_e3600_r224_in1k	224	25.235	74.765	44.304	55.696	4.23	0.950	bicubic	-49.763	-48.102	+82
1242	legacy_seresnext50_32x4d.in1k	224	25.212	74.788	41.964	58.036	27.56	0.875	bilinear	-53.872	-52.468	-168
1243	ghostnetv2_130.in1k	224	25.172	74.828	43.296	56.704	8.96	0.875	bicubic	-51.590	-50.064	+15
1244	mixer_b16_224.goog_in21k_ft_in1k	224	25.145	74.855	41.237	58.763	59.88	0.875	bicubic	-51.495	-50.991	+20
1245	resnet50.a3_in1k	224	25.068	74.932	41.968	58.032	25.56	0.950	bicubic	-52.984	-51.812	-78
1246	eca_botnext26ts_256.c1_in1k	256	25.047	74.953	43.037	56.963	10.59	0.950	bicubic	-54.225	-51.561	-193
1247	convnext_atto.d2_in1k	224	25.037	74.963	43.062	56.938	3.70	0.950	bicubic	-50.603	-49.840	+52
1248	efficientnet_b0.ra_in1k	224	25.021	74.979	42.789	57.211	5.29	0.875	bicubic	-52.679	-50.745	-49
1249	res2net50_48w_2s.in1k	224	25.019	74.981	42.217	57.783	25.29	0.875	bilinear	-52.517	-51.347	-38
1250	xcit_nano_12_p8_224.fb_dist_in1k	224	24.958	75.042	43.292	56.708	3.05	1.000	bicubic	-51.372	-49.780	+32
1251	resnet34.gluon_in1k	224	24.952	75.048	42.294	57.706	21.80	0.875	bicubic	-49.622	-49.694	+85
1252	mobilenetv2_120d.ra_in1k	224	24.921	75.079	43.039	56.961	5.83	0.875	bicubic	-52.377	-50.477	-27
1253	dla60.in1k	224	24.919	75.081	43.314	56.686	22.04	0.875	bilinear	-52.129	-50.004	-10
1254	gcresnext26ts.ch_in1k	256	24.897	75.103	42.506	57.494	10.48	1.000	bicubic	-52.681	-51.230	-45
1255	convnextv2_atto.fcmae_ft_in1k	288	24.876	75.124	42.485	57.515	3.71	0.950	bicubic	-52.918	-51.247	-63
1256	resnet34.bt_in1k	288	24.836	75.164	42.101	57.899	21.80	0.950	bicubic	-51.672	-51.243	+19
1257	regnety_016.pycls_in1k	224	24.813	75.187	42.616	57.384	11.20	0.875	bicubic	-53.091	-51.106	-73
1258	seresnet50.a3_in1k	224	24.813	75.187	42.101	57.899	28.09	0.950	bicubic	-52.223	-50.971	-14
1259	mobilenetv1_100.ra4_e3600_r224_in1k	256	24.797	75.203	43.487	56.513	4.23	0.950	bicubic	-51.289	-49.525	+28
1260	resnet34.a3_in1k	160	24.748	75.252	42.583	57.417	21.80	0.950	bicubic	-45.824	-46.939	+136
1261	pit_ti_distilled_224.in1k	224	24.722	75.278	43.190	56.810	5.10	0.900	bicubic	-49.556	-48.738	+80
1262	cs3darknet_m.c2ns_in1k	288	24.640	75.360	43.009	56.991	9.31	0.950	bicubic	-52.988	-51.009	-58
1263	convnext_atto_ols.a2_in1k	224	24.616	75.384	42.856	57.144	3.70	0.950	bicubic	-51.328	-50.074	+29
1264	resnet50.bt_in1k	288	24.595	75.405	41.478	58.522	25.56	0.950	bicubic	-55.063	-53.428	-252
1265	eca_resnext26ts.ch_in1k	288	24.593	75.407	42.536	57.464	10.30	1.000	bicubic	-53.423	-51.396	-93
1266	regnetx_016.pycls_in1k	224	24.577	75.423	42.514	57.486	9.19	0.875	bicubic	-52.347	-50.916	-14
1267	tf_efficientnet_lite2.in1k	260	24.565	75.435	42.259	57.741	6.09	0.890	bicubic	-52.907	-51.233	-52
1268	mobilevitv2_100.cvnets_in1k	256	24.552	75.448	42.954	57.046	4.90	0.888	bicubic	-53.540	-51.214	-103
1269	resnext26ts.ra2_in1k	256	24.534	75.466	42.066	57.934	10.30	1.000	bicubic	-52.050	-51.068	-2
1270	seresnext26ts.ch_in1k	288	24.522	75.478	42.650	57.350	10.39	1.000	bicubic	-53.770	-51.426	-122
1271	skresnet18.ra_in1k	224	24.487	75.513	42.561	57.439	11.96	0.875	bicubic	-48.533	-48.611	+92
1272	resnet18.a1_in1k	224	24.471	75.529	41.357	58.643	11.69	1.000	bicubic	-46.639	-48.429	+118
1273	hardcorenas_a.miil_green_in1k	224	24.390	75.610	43.349	56.651	5.26	0.875	bilinear	-51.536	-49.137	+20
1274	tf_efficientnet_lite0.in1k	224	24.378	75.621	42.490	57.510	4.65	0.875	bicubic	-50.468	-49.690	+54
1275	resnet18d.ra2_in1k	224	24.347	75.653	42.980	57.020	11.71	0.950	bicubic	-48.119	-47.832	+94
1276	hrnet_w18.ms_aug_in1k	224	24.337	75.663	42.866	57.134	21.30	0.950	bilinear	-53.773	-51.202	-113
1277	efficientvit_m4.r224_in1k	224	24.290	75.710	41.758	58.242	8.80	0.875	bicubic	-50.068	-50.224	+62
1278	mobilenetv4_conv_small.e2400_r224_in1k	256	24.255	75.745	42.551	57.449	3.77	0.950	bicubic	-50.389	-49.471	+54
1279	ese_vovnet19b_dw.ra_in1k	224	24.198	75.802	42.198	57.802	6.54	0.950	bicubic	-52.602	-51.174	-22
1280	gcresnext26ts.ch_in1k	288	24.190	75.810	41.347	58.653	10.48	1.000	bicubic	-54.248	-52.687	-143
1281	mobilenetv4_conv_small.e2400_r224_in1k	224	24.162	75.838	42.109	57.891	3.77	0.950	bicubic	-49.524	-49.271	+72
1282	tf_efficientnet_b1.in1k	240	24.121	75.879	41.520	58.480	7.79	0.882	bicubic	-54.429	-52.576	-160
1283	resnet50.tv_in1k	224	24.064	75.936	41.329	58.671	25.56	0.875	bilinear	-52.092	-51.537	+2
1284	xcit_nano_12_p8_384.fb_dist_in1k	384	24.062	75.938	42.033	57.967	3.05	1.000	bicubic	-53.750	-51.991	-94
1285	levit_128s.fb_dist_in1k	224	24.037	75.963	40.983	59.017	7.78	0.900	bicubic	-52.485	-51.891	-12
1286	levit_conv_128s.fb_dist_in1k	224	24.035	75.965	40.983	59.017	7.78	0.900	bicubic	-52.499	-51.899	-16
1287	legacy_seresnet34.in1k	224	24.019	75.981	41.903	58.097	21.96	0.875	bilinear	-50.769	-50.231	+42
1288	xcit_nano_12_p16_384.fb_dist_in1k	384	23.993	76.007	42.278	57.722	3.05	1.000	bicubic	-51.475	-50.392	+21
1289	repghostnet_130.in1k	224	23.966	76.034	41.671	58.329	5.48	0.875	bicubic	-52.412	-51.225	-11
1290	efficientnet_lite0.ra_in1k	224	23.905	76.095	42.131	57.869	4.65	0.875	bicubic	-51.585	-50.383	+17
1291	efficientnet_es_pruned.in1k	224	23.858	76.142	42.005	57.995	5.44	0.875	bicubic	-51.154	-50.439	+31
1292	densenet121.tv_in1k	224	23.838	76.162	41.932	58.068	7.98	0.875	bicubic	-50.910	-50.222	+38
1293	regnetx_008.tv2_in1k	224	23.771	76.229	40.716	59.284	7.26	0.965	bicubic	-53.517	-52.946	-65
1294	resnet26t.ra2_in1k	320	23.744	76.256	41.355	58.645	16.01	1.000	bicubic	-54.586	-52.691	-150
1295	dla34.in1k	224	23.693	76.307	41.557	58.443	15.74	0.875	bilinear	-50.947	-50.495	+37
1296	mobilenetv2_140.ra_in1k	224	23.693	76.307	41.459	58.541	6.11	0.875	bicubic	-52.835	-51.549	-24
1297	mixnet_m.ft_in1k	224	23.691	76.309	41.174	58.826	5.01	0.875	bicubic	-53.579	-52.242	-67
1298	legacy_seresnet50.in1k	224	23.640	76.360	40.099	59.901	28.09	0.875	bilinear	-54.004	-53.621	-96
1299	convnext_atto.d2_in1k	288	23.612	76.388	41.093	58.907	3.70	0.950	bicubic	-53.404	-52.611	-53
1300	resnext26ts.ra2_in1k	288	23.606	76.394	40.930	59.070	10.30	1.000	bicubic	-53.576	-52.544	-66
1301	resnet34.tv_in1k	224	23.494	76.506	41.380	58.620	21.80	0.875	bilinear	-49.804	-50.042	+57
1302	tf_mixnet_m.in1k	224	23.473	76.527	41.007	58.993	5.01	0.875	bicubic	-53.489	-52.163	-53
1303	efficientvit_m3.r224_in1k	224	23.396	76.604	40.514	59.486	6.90	0.875	bicubic	-50.000	-50.832	+52
1304	selecsls42b.in1k	224	23.394	76.606	40.663	59.337	32.46	0.875	bicubic	-53.786	-52.727	-69
1305	tf_efficientnet_em.in1k	240	23.392	76.608	40.413	59.587	6.90	0.882	bicubic	-54.736	-53.641	-143
1306	resnet34.a3_in1k	224	23.357	76.643	40.130	59.870	21.80	0.950	bicubic	-49.625	-50.986	+59
1307	repvgg_b0.rvgg_in1k	224	23.339	76.661	41.262	58.738	15.82	0.875	bilinear	-51.823	-51.158	+8
1308	xcit_nano_12_p16_224.fb_dist_in1k	224	23.270	76.730	41.459	58.541	3.05	1.000	bicubic	-49.048	-49.367	+67
1309	regnety_004.tv2_in1k	224	23.270	76.730	40.871	59.129	4.34	0.965	bicubic	-52.320	-51.837	-7
1310	convnext_atto_ols.a2_in1k	288	23.137	76.863	40.897	59.103	3.70	0.950	bicubic	-54.083	-52.803	-77
1311	resnet18.a1_in1k	288	23.074	76.926	39.569	60.431	11.69	1.000	bicubic	-50.090	-51.486	+50
1312	mobilenetv2_110d.ra_in1k	224	23.070	76.930	40.749	59.251	4.52	0.875	bicubic	-51.984	-51.437	+9
1313	vit_base_patch32_224.sam_in1k	224	23.046	76.954	39.557	60.443	88.22	0.900	bicubic	-50.660	-51.455	+39
1314	tinynet_b.in1k	188	23.042	76.958	40.960	59.040	3.73	0.875	bicubic	-51.932	-51.228	+10
1315	resnet18d.ra2_in1k	288	23.025	76.975	41.125	58.875	11.71	0.950	bicubic	-50.769	-50.709	+36
1316	mobilenetv4_conv_small.e1200_r224_in1k	256	22.960	77.040	41.062	58.938	3.77	0.950	bicubic	-51.336	-51.056	+24
1317	repghostnet_111.in1k	224	22.887	77.113	40.508	59.492	4.54	0.875	bicubic	-52.181	-51.688	+2
1318	mobileone_s1.apple_in1k	224	22.830	77.170	39.887	60.113	4.83	0.900	bilinear	-52.956	-52.905	-23
1319	seresnext26t_32x4d.bt_in1k	224	22.785	77.215	39.246	60.754	16.81	0.950	bicubic	-55.085	-54.566	-134
1320	deit_tiny_distilled_patch16_224.fb_in1k	224	22.712	77.288	40.775	59.225	5.91	0.900	bicubic	-51.828	-51.119	+17
1321	mobilenetv3_large_100.ra_in1k	224	22.691	77.309	40.710	59.290	5.48	0.875	bicubic	-53.093	-51.818	-25
1322	mobilenetv4_conv_small.e1200_r224_in1k	224	22.665	77.335	40.881	59.119	3.77	0.950	bicubic	-50.503	-50.329	+38
1323	repvgg_a1.rvgg_in1k	224	22.653	77.347	39.881	60.119	14.09	0.875	bilinear	-51.815	-51.959	+15
1324	mobilevit_s.cvnets_in1k	256	22.637	77.362	38.855	61.145	5.58	0.900	bicubic	-55.665	-55.311	-177
1325	mobilenetv3_rw.rmsp_in1k	224	22.632	77.368	40.406	59.594	5.48	0.875	bicubic	-52.982	-52.292	-26
1326	ghostnetv2_100.in1k	224	22.632	77.368	40.089	59.911	6.16	0.875	bicubic	-52.544	-52.245	-11
1327	edgenext_x_small.in1k	288	22.592	77.408	39.515	60.485	2.34	1.000	bicubic	-53.114	-53.245	-30
1328	tf_mobilenetv3_large_100.in1k	224	22.553	77.447	39.765	60.235	5.48	0.875	bilinear	-52.961	-52.837	-25
1329	tf_efficientnet_b0.in1k	224	22.553	77.447	39.596	60.404	5.29	0.875	bicubic	-53.983	-53.414	-59
1330	xcit_nano_12_p8_224.fb_in1k	224	22.504	77.496	40.795	59.205	3.05	1.000	bicubic	-51.392	-51.359	+19
1331	resnet26d.bt_in1k	224	22.496	77.504	39.598	60.402	16.01	0.950	bicubic	-54.210	-53.614	-70
1332	tf_efficientnet_es.in1k	224	22.421	77.579	39.117	60.883	5.44	0.875	bicubic	-54.187	-54.059	-67
1333	hrnet_w18_small_v2.ms_in1k	224	22.382	77.618	39.891	60.109	15.60	0.875	bilinear	-52.736	-52.527	-17
1334	edgenext_x_small.in1k	256	22.302	77.698	39.388	60.612	2.34	1.000	bicubic	-52.558	-52.784	-7
1335	regnetx_004_tv.tv2_in1k	224	22.274	77.726	39.217	60.783	5.50	0.965	bicubic	-52.328	-52.955	0
1336	convit_tiny.fb_in1k	224	22.264	77.736	39.678	60.322	5.71	0.875	bicubic	-50.862	-52.011	+26
1337	regnety_008.pycls_in1k	224	22.131	77.870	38.985	61.015	6.26	0.875	bicubic	-54.204	-54.075	-56
1338	ese_vovnet19b_dw.ra_in1k	288	22.093	77.907	39.480	60.520	6.54	0.950	bicubic	-55.713	-54.296	-147
1339	resnet18.a2_in1k	224	21.987	78.013	38.537	61.463	11.69	1.000	bicubic	-48.271	-50.829	+60
1340	regnetx_008.pycls_in1k	224	21.977	78.023	38.922	61.078	7.26	0.875	bicubic	-53.085	-53.418	-20
1341	regnety_006.pycls_in1k	224	21.973	78.027	38.957	61.043	6.06	0.875	bicubic	-53.289	-53.567	-28
1342	semnasnet_100.rmsp_in1k	224	21.956	78.044	38.702	61.298	3.89	0.875	bicubic	-53.496	-53.908	-31
1343	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	384	21.942	78.058	39.492	60.508	6.36	1.000	bicubic	-54.020	-53.784	-52
1344	resnet26.bt_in1k	224	21.859	78.141	38.761	61.239	16.00	0.950	bicubic	-53.477	-53.879	-32
1345	pit_ti_224.in1k	224	21.857	78.143	39.517	60.483	4.85	0.900	bicubic	-51.067	-51.895	+22
1346	pvt_v2_b0.in1k	224	21.840	78.160	40.140	59.860	3.67	0.900	bicubic	-48.816	-50.072	+49
1347	seresnext26d_32x4d.bt_in1k	224	21.806	78.194	38.220	61.780	16.81	0.950	bicubic	-55.928	-55.094	-150
1348	regnetx_006.pycls_in1k	224	21.745	78.255	38.940	61.060	6.20	0.875	bicubic	-52.139	-52.726	+2
1349	vit_tiny_patch16_384.augreg_in21k_ft_in1k	384	21.712	78.288	39.321	60.679	5.79	1.000	bicubic	-56.734	-55.231	-215
1350	crossvit_9_240.in1k	240	21.702	78.298	39.262	60.738	8.55	0.875	bicubic	-52.274	-52.714	-4
1351	vgg19_bn.tv_in1k	224	21.637	78.363	39.285	60.715	143.68	0.875	bilinear	-52.599	-52.558	-9
1352	semnasnet_075.rmsp_in1k	224	21.596	78.404	38.950	61.050	2.91	0.875	bicubic	-51.396	-52.168	+12
1353	resnet18.gluon_in1k	224	21.559	78.441	38.891	61.109	11.69	0.875	bicubic	-49.285	-50.859	+40
1354	mobilevitv2_075.cvnets_in1k	256	21.549	78.451	38.608	61.392	2.87	0.888	bicubic	-54.055	-54.146	-53
1355	fbnetc_100.rmsp_in1k	224	21.541	78.459	38.156	61.844	5.57	0.875	bilinear	-53.573	-54.226	-38
1356	repghostnet_100.in1k	224	21.490	78.510	38.696	61.304	4.07	0.875	bicubic	-52.710	-52.854	-13
1357	xcit_nano_12_p16_224.fb_in1k	224	21.449	78.551	39.787	60.213	3.05	1.000	bicubic	-48.533	-49.995	+44
1358	mixnet_s.ft_in1k	224	21.399	78.600	38.232	61.768	4.13	0.875	bicubic	-54.602	-54.570	-70
1359	ghostnet_100.in1k	224	21.376	78.624	38.130	61.870	5.18	0.875	bicubic	-52.584	-53.412	-12
1360	mnasnet_100.rmsp_in1k	224	21.370	78.630	37.725	62.275	4.38	0.875	bicubic	-53.292	-54.383	-29
1361	resnet18.fb_ssl_yfcc100m_ft_in1k	224	21.290	78.710	39.126	60.874	11.69	0.875	bilinear	-51.346	-52.290	+7
1362	lcnet_100.ra2_in1k	224	21.284	78.716	38.891	61.109	2.95	0.875	bicubic	-50.844	-51.477	+18
1363	legacy_seresnext26_32x4d.in1k	224	21.087	78.913	37.641	62.359	16.79	0.875	bicubic	-56.013	-55.691	-123
1364	crossvit_tiny_240.in1k	240	21.050	78.950	38.061	61.939	7.01	0.875	bicubic	-52.280	-53.849	-7
1365	efficientvit_m2.r224_in1k	224	21.048	78.952	37.678	62.322	4.19	0.875	bicubic	-49.752	-52.482	+29
1366	repvgg_a0.rvgg_in1k	224	20.983	79.017	37.609	62.391	9.11	0.875	bilinear	-51.441	-52.905	+5
1367	resnet18.a2_in1k	288	20.951	79.049	36.849	63.151	11.69	1.000	bicubic	-51.410	-53.765	+6
1368	regnetx_004.pycls_in1k	224	20.906	79.094	37.562	62.438	5.16	0.875	bicubic	-51.526	-53.286	+2
1369	seresnext26t_32x4d.bt_in1k	288	20.871	79.129	36.371	63.629	16.81	0.950	bicubic	-57.865	-57.947	-261
1370	spnasnet_100.rmsp_in1k	224	20.849	79.151	37.922	62.078	4.42	0.875	bilinear	-53.233	-53.906	-26
1371	legacy_seresnet18.in1k	224	20.828	79.172	37.631	62.369	11.78	0.875	bicubic	-50.914	-52.709	+13
1372	mobilenetv2_100.ra_in1k	224	20.767	79.233	37.769	62.231	3.50	0.875	bicubic	-52.195	-53.251	-6
1373	tf_mixnet_s.in1k	224	20.464	79.536	36.633	63.367	4.13	0.875	bicubic	-55.188	-55.995	-75
1374	vit_tiny_patch16_224.augreg_in21k_ft_in1k	224	20.462	79.538	37.615	62.385	5.72	0.900	bicubic	-54.996	-55.229	-64
1375	regnety_004.pycls_in1k	224	20.427	79.573	37.030	62.970	4.34	0.875	bicubic	-53.579	-54.726	-30
1376	tf_mobilenetv3_large_075.in1k	224	20.403	79.597	36.800	63.200	3.99	0.875	bilinear	-53.045	-54.544	-22
1377	hrnet_w18_small.gluon_in1k	224	20.390	79.611	37.065	62.935	13.19	0.875	bicubic	-53.544	-54.105	-29
1378	hrnet_w18_small.ms_in1k	224	20.356	79.644	37.081	62.919	13.19	0.875	bilinear	-51.990	-53.603	-4
1379	resnet26d.bt_in1k	288	20.273	79.727	36.356	63.644	16.01	0.950	bicubic	-57.151	-57.274	-161
1380	resnet18.tv_in1k	224	20.238	79.762	37.258	62.742	11.69	0.875	bilinear	-49.514	-51.824	+23
1381	mixer_l16_224.goog_in21k_ft_in1k	224	20.142	79.858	32.966	67.034	208.20	0.875	bicubic	-51.948	-54.684	0
1382	deit_tiny_patch16_224.fb_in1k	224	20.132	79.868	37.576	62.424	5.72	0.900	bicubic	-52.064	-53.524	-3
1383	tf_mobilenetv3_large_minimal_100.in1k	224	20.130	79.870	36.914	63.086	3.92	0.875	bilinear	-52.140	-53.748	-7
1384	seresnext26d_32x4d.bt_in1k	288	20.063	79.937	35.241	64.759	16.81	0.950	bicubic	-58.763	-59.017	-286
1385	efficientvit_m1.r224_in1k	224	19.975	80.025	36.481	63.519	2.98	0.875	bicubic	-48.379	-52.203	+24
1386	vgg16_bn.tv_in1k	224	19.965	80.035	36.316	63.684	138.37	0.875	bilinear	-53.391	-55.184	-30
1387	resnet26.bt_in1k	288	19.759	80.241	35.849	64.151	16.00	0.950	bicubic	-56.613	-57.327	-108
1388	resnet18.a3_in1k	160	19.700	80.300	35.416	64.584	11.69	0.950	bicubic	-45.964	-50.862	+34
1389	repghostnet_080.in1k	224	19.476	80.524	35.953	64.047	3.28	0.875	bicubic	-52.760	-54.539	-11
1390	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	224	19.360	80.640	36.088	63.912	6.34	0.900	bicubic	-52.460	-54.726	-7
1391	mobileone_s0.apple_in1k	224	19.301	80.699	35.336	64.664	5.29	0.875	bilinear	-52.097	-54.528	-3
1392	tinynet_c.in1k	184	19.295	80.705	36.029	63.971	2.46	0.875	bicubic	-51.941	-53.719	-3
1393	edgenext_xx_small.in1k	288	18.872	81.128	35.175	64.825	1.33	1.000	bicubic	-53.014	-55.359	-11
1394	edgenext_xx_small.in1k	256	18.658	81.342	34.978	65.022	1.33	1.000	bicubic	-52.350	-54.882	-2
1395	efficientvit_b0.r224_in1k	224	18.472	81.528	33.237	66.763	3.41	0.950	bicubic	-52.928	-56.197	-8
1396	resnet18.a3_in1k	224	18.434	81.566	33.445	66.555	11.69	0.950	bicubic	-49.812	-54.713	+15
1397	mobilevit_xs.cvnets_in1k	256	18.318	81.682	33.208	66.792	2.32	0.900	bicubic	-56.314	-59.140	-63
1398	lcnet_075.ra2_in1k	224	18.114	81.886	34.363	65.637	2.36	0.875	bicubic	-50.670	-54.025	+9
1399	vgg19.tv_in1k	224	17.931	82.069	33.066	66.934	143.67	0.875	bilinear	-54.469	-57.812	-27
1400	vgg13_bn.tv_in1k	224	17.811	82.189	34.041	65.959	133.05	0.875	bilinear	-53.779	-56.337	-14
1401	resnet10t.c3_in1k	176	17.631	82.370	33.648	66.352	5.44	0.950	bicubic	-48.803	-52.980	+16
1402	resnet14t.c3_in1k	176	17.583	82.417	32.777	67.223	10.08	0.950	bicubic	-53.471	-56.909	-11
1403	vgg16.tv_in1k	224	17.536	82.464	32.756	67.244	138.36	0.875	bilinear	-54.064	-57.642	-18
1404	regnety_002.pycls_in1k	224	17.456	82.544	32.461	67.539	3.16	0.875	bicubic	-52.838	-57.073	-6
1405	vgg11_bn.tv_in1k	224	17.397	82.603	32.952	67.048	132.87	0.875	bilinear	-52.987	-56.856	-8
1406	mobilevitv2_050.cvnets_in1k	256	17.348	82.652	33.007	66.993	1.37	0.888	bicubic	-52.804	-56.923	-6
1407	repghostnet_058.in1k	224	17.202	82.798	32.642	67.358	2.55	0.875	bicubic	-51.732	-55.744	-2
1408	regnetx_002.pycls_in1k	224	16.972	83.028	32.247	67.753	2.68	0.875	bicubic	-51.788	-56.317	0
1409	mobilenetv3_small_100.lamb_in1k	224	16.843	83.157	32.534	67.466	2.54	0.875	bicubic	-50.796	-55.116	+5
1410	mobilenetv2_050.lamb_in1k	224	16.723	83.277	31.895	68.105	1.97	0.875	bicubic	-49.211	-54.193	+10
1411	resnet10t.c3_in1k	224	16.709	83.291	32.139	67.861	5.44	0.950	bicubic	-51.637	-55.883	-1
1412	tinynet_d.in1k	152	16.683	83.317	32.467	67.533	2.34	0.875	bicubic	-50.287	-54.589	+4
1413	efficientvit_m0.r224_in1k	224	16.660	83.340	31.942	68.058	2.35	0.875	bicubic	-46.634	-53.208	+12
1414	mnasnet_small.lamb_in1k	224	16.628	83.372	31.889	68.111	2.03	0.875	bicubic	-49.568	-54.583	+4
1415	dla60x_c.in1k	224	16.332	83.668	31.759	68.241	1.32	0.875	bilinear	-51.596	-56.675	-2
1416	tf_mobilenetv3_small_100.in1k	224	16.253	83.747	31.136	68.864	2.54	0.875	bilinear	-51.679	-56.550	-4
1417	vgg13.tv_in1k	224	16.127	83.873	30.991	69.009	133.05	0.875	bilinear	-53.813	-58.265	-15
1418	resnet14t.c3_in1k	224	15.999	84.001	30.040	69.960	10.08	0.950	bicubic	-56.243	-60.278	-41
1419	vgg11.tv_in1k	224	15.715	84.285	30.464	69.536	132.86	0.875	bilinear	-53.333	-58.168	-15
1420	repghostnet_050.in1k	224	15.601	84.399	30.221	69.779	2.31	0.875	bicubic	-51.379	-56.719	-5
1421	mobilenetv3_small_075.lamb_in1k	224	14.989	85.010	29.745	70.255	2.04	0.875	bicubic	-50.283	-55.725	+2
1422	tf_mobilenetv3_small_075.in1k	224	14.972	85.028	29.647	70.353	2.04	0.875	bilinear	-50.752	-56.487	-1
1423	dla46_c.in1k	224	14.744	85.256	29.354	70.646	1.30	0.875	bilinear	-50.136	-56.976	+1
1424	mobilevit_xxs.cvnets_in1k	256	14.555	85.445	28.737	71.263	1.27	0.900	bicubic	-54.375	-60.205	-18
1425	dla46x_c.in1k	224	14.402	85.598	29.236	70.764	1.07	0.875	bilinear	-51.606	-57.710	-6
1426	tf_mobilenetv3_small_minimal_100.in1k	224	14.249	85.751	28.670	71.330	2.04	0.875	bilinear	-48.645	-55.612	+1
1427	lcnet_050.ra2_in1k	224	14.237	85.763	28.531	71.469	1.88	0.875	bicubic	-48.893	-55.869	-1
1428	tinynet_e.in1k	106	12.743	87.257	26.495	73.505	2.04	0.875	bicubic	-47.127	-55.291	0
1429	mobilenetv3_small_050.lamb_in1k	224	11.002	88.998	23.416	76.584	1.59	0.875	bicubic	-46.922	-56.726	0
1430	test_byobnet.r160_in1k	160	7.469	92.531	17.554	82.446	0.46	0.875	bicubic	-37.927	-53.050	+1
1431	test_efficientnet.r160_in1k	160	7.206	92.794	16.758	83.242	0.36	0.875	bicubic	-39.218	-54.200	-1
1432	test_vit.r160_in1k	160	4.814	95.186	11.802	88.198	0.37	0.875	bicubic	-36.018	-55.404	0