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

1	model	img_size	top1	top1_err	top5	top5_err	param_count	crop_pct	interpolation	top1_diff	top5_diff	rank_diff
2	convnext_xxlarge.clip_laion2b_soup_ft_in1k	256	90.617	9.383	97.913	2.087	846.47	1.000	bicubic	-7.153	-1.897	+15
3	eva_giant_patch14_336.clip_ft_in1k	336	90.517	9.483	97.223	2.777	1,013.01	1.000	bicubic	-7.343	-2.567	+6
4	eva02_large_patch14_448.mim_m38m_ft_in1k	448	90.483	9.517	97.273	2.727	305.08	1.000	bicubic	-7.337	-2.557	+7
5	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	448	90.247	9.753	97.177	2.823	305.08	1.000	bicubic	-7.783	-2.713	-2
6	eva_giant_patch14_224.clip_ft_in1k	224	89.837	10.163	97.010	2.990	1,012.56	0.900	bicubic	-7.733	-2.760	+30
7	eva_giant_patch14_336.m30m_ft_in22k_in1k	336	88.617	11.383	95.930	4.070	1,013.01	1.000	bicubic	-9.393	-3.970	-3
8	eva_giant_patch14_560.m30m_ft_in22k_in1k	560	88.413	11.587	95.630	4.370	1,014.45	1.000	bicubic	-9.577	-4.230	-3
9	regnety_1280.swag_ft_in1k	384	88.290	11.710	96.480	3.520	644.81	1.000	bicubic	-9.470	-3.340	+10
10	eva02_large_patch14_448.mim_in22k_ft_in22k_in1k	448	87.983	12.017	95.610	4.390	305.08	1.000	bicubic	-10.177	-4.270	-8
11	eva02_large_patch14_448.mim_in22k_ft_in1k	448	87.510	12.490	95.753	4.247	305.08	1.000	bicubic	-10.350	-4.157	-3
12	regnety_1280.swag_lc_in1k	224	86.940	13.060	95.730	4.270	644.81	0.965	bicubic	-10.480	-4.010	+34
13	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	384	84.577	15.423	94.400	5.600	200.13	1.000	bicubic	-12.813	-5.330	+37
14	vit_large_patch14_clip_336.openai_ft_in12k_in1k	336	83.980	16.020	93.897	6.103	304.53	1.000	bicubic	-13.650	-5.833	+15
15	vit_large_patch14_clip_336.laion2b_ft_in1k	336	83.633	16.367	93.493	6.507	304.53	1.000	bicubic	-13.597	-6.227	+68
16	eva_large_patch14_336.in22k_ft_in1k	336	83.527	16.473	93.143	6.857	304.53	1.000	bicubic	-14.303	-6.697	-6
17	vit_huge_patch14_clip_224.laion2b_ft_in1k	224	83.263	16.737	93.137	6.863	632.05	1.000	bicubic	-13.857	-6.433	+85
18	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	336	83.063	16.937	92.867	7.133	632.46	1.000	bicubic	-14.547	-6.913	+13
19	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	224	82.960	17.040	92.663	7.337	632.05	1.000	bicubic	-14.390	-7.137	+37
20	vit_large_patch14_clip_224.openai_ft_in1k	224	82.390	17.610	92.990	7.010	304.20	1.000	bicubic	-15.060	-6.700	+24
21	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	384	82.273	17.727	92.437	7.563	200.13	1.000	bicubic	-15.197	-7.323	+19
22	vit_large_patch14_clip_224.laion2b_ft_in1k	224	81.680	18.320	92.227	7.773	304.20	1.000	bicubic	-15.330	-7.453	+105
23	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	320	81.467	18.533	92.060	7.940	200.13	1.000	bicubic	-15.823	-7.680	+47
24	regnety_320.swag_lc_in1k	224	81.433	18.567	93.307	6.693	145.05	0.965	bicubic	-15.387	-6.323	+140
25	eva_large_patch14_196.in22k_ft_in1k	196	81.297	18.703	91.553	8.447	304.14	1.000	bicubic	-16.243	-8.237	+12
26	regnety_320.swag_ft_in1k	384	81.270	18.730	92.737	7.263	145.05	1.000	bicubic	-16.130	-7.003	+21
27	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	256	80.990	19.010	91.943	8.057	200.13	1.000	bicubic	-16.140	-7.707	+72
28	eva_large_patch14_336.in22k_ft_in22k_in1k	336	80.090	19.910	89.340	10.660	304.53	1.000	bicubic	-17.800	-10.540	-22
29	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	224	79.520	20.480	89.233	10.767	468.53	0.875	bilinear	-17.270	-10.467	+148
30	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	224	78.883	21.117	88.473	11.527	194.03	0.875	bilinear	-17.557	-11.067	+235
31	vit_large_patch14_clip_224.openai_ft_in12k_in1k	224	78.730	21.270	89.010	10.990	304.20	1.000	bicubic	-18.910	-10.720	-3
32	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	336	78.523	21.477	88.583	11.417	304.53	1.000	bicubic	-18.937	-11.197	+10
33	eva_large_patch14_196.in22k_ft_in22k_in1k	196	78.520	21.480	88.337	11.663	304.14	1.000	bicubic	-19.100	-11.473	-3
34	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	224	78.277	21.723	88.780	11.220	304.20	1.000	bicubic	-19.123	-10.980	+15
35	regnety_160.swag_lc_in1k	224	78.233	21.767	91.703	8.297	83.59	0.965	bicubic	-18.197	-7.737	+231
36	regnety_160.swag_ft_in1k	384	77.717	22.283	90.713	9.287	83.59	1.000	bicubic	-19.453	-9.067	+59
37	eva02_base_patch14_448.mim_in22k_ft_in1k	448	77.523	22.477	89.330	10.670	87.12	1.000	bicubic	-20.207	-10.430	-14
38	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	448	77.430	22.570	88.423	11.577	87.12	1.000	bicubic	-20.170	-11.397	-6
39	tf_efficientnet_l2.ns_jft_in1k_475	475	76.347	23.653	88.517	11.483	480.31	0.936	bicubic	-21.423	-11.333	-21
40	beitv2_large_patch16_224.in1k_ft_in22k_in1k	224	76.303	23.697	87.047	12.953	304.43	0.950	bicubic	-21.457	-12.803	-18
41	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	224	76.220	23.780	87.740	12.260	194.03	0.875	bilinear	-20.050	-11.850	+272
42	convnextv2_huge.fcmae_ft_in22k_in1k_384	384	75.970	24.030	86.617	13.383	660.29	1.000	bicubic	-21.890	-13.183	-35
43	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	224	75.873	24.127	86.257	13.743	88.79	0.875	bilinear	-20.077	-13.063	+371
44	convnextv2_huge.fcmae_ft_in22k_in1k_512	512	75.837	24.163	86.933	13.067	660.29	1.000	bicubic	-21.973	-12.857	-32
45	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	224	75.603	24.397	86.940	13.060	88.79	0.875	bilinear	-20.667	-12.540	+267
46	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	384	75.207	24.793	88.483	11.517	88.59	1.000	bicubic	-21.853	-11.187	+68
47	convnext_base.clip_laiona_augreg_ft_in1k_384	384	75.163	24.837	88.520	11.480	88.59	1.000	bicubic	-21.697	-11.170	+109
48	tf_efficientnet_l2.ns_jft_in1k	800	74.590	25.410	87.487	12.513	480.31	0.960	bicubic	-23.180	-12.323	-33
49	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	256	73.703	26.297	87.303	12.697	88.59	1.000	bicubic	-23.097	-12.377	+124
50	convnext_base.clip_laion2b_augreg_ft_in1k	256	73.447	26.553	87.200	12.800	88.59	1.000	bicubic	-23.133	-12.320	+171
51	beit_large_patch16_384.in22k_ft_in22k_in1k	384	73.277	26.723	85.030	14.970	305.00	1.000	bicubic	-24.533	-14.830	-38
52	beit_large_patch16_512.in22k_ft_in22k_in1k	512	73.160	26.840	85.090	14.910	305.67	1.000	bicubic	-24.620	-14.730	-38
53	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	224	72.703	27.297	85.193	14.807	44.18	0.875	bilinear	-23.377	-14.327	+309
54	maxvit_xlarge_tf_512.in21k_ft_in1k	512	71.910	28.090	83.040	16.960	475.77	1.000	bicubic	-25.850	-16.750	-33
55	maxvit_xlarge_tf_384.in21k_ft_in1k	384	71.763	28.237	82.820	17.180	475.32	1.000	bicubic	-25.997	-17.040	-35
56	beit_large_patch16_224.in22k_ft_in22k_in1k	224	71.033	28.967	83.313	16.687	304.43	0.900	bicubic	-26.467	-16.367	-18
57	deit3_huge_patch14_224.fb_in22k_ft_in1k	224	70.837	29.163	82.220	17.780	632.13	1.000	bicubic	-26.413	-17.500	+19
58	deit3_large_patch16_384.fb_in22k_ft_in1k	384	70.613	29.387	82.390	17.610	304.76	1.000	bicubic	-26.967	-17.390	-24
59	vit_base_patch16_clip_384.laion2b_ft_in1k	384	70.597	29.403	83.703	16.297	86.86	1.000	bicubic	-26.323	-15.967	+84
60	beitv2_large_patch16_224.in1k_ft_in1k	224	70.437	29.563	83.407	16.593	304.43	0.950	bicubic	-26.853	-16.333	+9
61	maxvit_base_tf_512.in21k_ft_in1k	512	70.433	29.567	81.620	18.380	119.88	1.000	bicubic	-27.337	-18.270	-45
62	caformer_b36.sail_in22k_ft_in1k_384	384	70.427	29.573	82.420	17.580	98.75	1.000	bicubic	-27.223	-17.380	-36
63	maxvit_large_tf_512.in21k_ft_in1k	512	70.343	29.657	81.670	18.330	212.33	1.000	bicubic	-27.327	-18.140	-38
64	maxvit_large_tf_384.in21k_ft_in1k	384	70.013	29.987	80.990	19.010	212.03	1.000	bicubic	-27.657	-18.740	-40
65	deit3_large_patch16_224.fb_in22k_ft_in1k	224	69.730	30.270	81.177	18.823	304.37	1.000	bicubic	-27.580	-18.503	0
66	maxvit_base_tf_384.in21k_ft_in1k	384	69.640	30.360	80.710	19.290	119.65	1.000	bicubic	-27.930	-19.000	-31
67	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	224	69.107	30.893	82.877	17.123	25.03	0.875	bilinear	-26.553	-16.573	+439
68	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	384	68.963	31.037	79.890	20.110	116.14	1.000	bicubic	-28.367	-19.700	-6
69	vit_base_patch16_clip_224.laion2b_ft_in1k	224	68.700	31.300	82.407	17.593	86.57	1.000	bicubic	-27.630	-17.123	+225
70	convnextv2_large.fcmae_ft_in22k_in1k_384	384	68.530	31.470	80.987	19.013	197.96	1.000	bicubic	-29.120	-18.873	-43
71	resnet50.fb_swsl_ig1b_ft_in1k	224	68.380	31.620	83.387	16.613	25.56	0.875	bilinear	-26.870	-15.813	+549
72	caformer_b36.sail_in22k_ft_in1k	224	68.323	31.677	80.650	19.350	98.75	1.000	bicubic	-29.047	-19.180	-21
73	hgnetv2_b6.ssld_stage1_in22k_in1k	224	68.053	31.947	82.013	17.987	75.26	1.000	bicubic	-28.897	-17.607	+66
74	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	384	68.010	31.990	80.620	19.380	116.09	1.000	bicubic	-29.460	-19.140	-33
75	convnext_xlarge.fb_in22k_ft_in1k_384	384	67.780	32.220	80.127	19.873	350.20	1.000	bicubic	-29.800	-19.583	-42
76	hgnetv2_b6.ssld_stage2_ft_in1k	224	67.707	32.293	81.647	18.353	75.26	1.000	bicubic	-29.153	-18.003	+82
77	hgnetv2_b5.ssld_stage2_ft_in1k	224	67.593	32.407	81.013	18.987	39.57	1.000	bicubic	-29.057	-18.647	+127
78	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	384	67.517	32.483	80.143	19.857	196.74	1.000	bicubic	-29.783	-19.627	-11
79	vit_base_patch16_clip_384.openai_ft_in1k	384	67.293	32.707	81.813	18.187	86.86	1.000	bicubic	-29.537	-17.847	+83
80	hgnetv2_b5.ssld_stage1_in22k_in1k	224	67.137	32.863	80.493	19.507	39.57	1.000	bicubic	-29.363	-19.157	+165
81	vit_large_patch16_384.augreg_in21k_ft_in1k	384	67.123	32.877	78.710	21.290	304.72	1.000	bicubic	-30.307	-21.070	-36
82	tf_efficientnet_b7.ns_jft_in1k	600	67.020	32.980	81.087	18.913	66.35	0.949	bicubic	-30.180	-18.613	+6
83	convnextv2_base.fcmae_ft_in22k_in1k_384	384	67.003	32.997	79.723	20.277	88.72	1.000	bicubic	-30.367	-19.977	-31
84	convnextv2_large.fcmae_ft_in22k_in1k	224	66.527	33.473	79.363	20.637	197.96	1.000	bicubic	-30.873	-20.387	-36
85	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	384	66.517	33.483	78.283	21.717	73.88	1.000	bicubic	-30.853	-21.427	-32
86	convnext_large.fb_in22k_ft_in1k_384	384	66.510	33.490	79.427	20.573	197.77	1.000	bicubic	-30.820	-20.283	-25
87	convformer_b36.sail_in22k_ft_in1k_384	384	66.467	33.533	78.987	21.013	99.88	1.000	bicubic	-30.983	-20.763	-44
88	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	224	66.353	33.647	77.863	22.137	116.14	0.950	bicubic	-30.737	-21.817	+18
89	hgnetv2_b6.ssld_stage2_ft_in1k	288	66.313	33.687	80.457	19.543	75.26	1.000	bicubic	-30.767	-19.283	+19
90	hgnetv2_b6.ssld_stage1_in22k_in1k	288	66.250	33.750	80.497	19.503	75.26	1.000	bicubic	-30.830	-19.183	+19
91	convnext_xlarge.fb_in22k_ft_in1k	224	65.970	34.030	78.423	21.577	350.20	1.000	bicubic	-31.290	-21.317	-17
92	swin_large_patch4_window12_384.ms_in22k_ft_in1k	384	65.950	34.050	79.240	20.760	196.74	1.000	bicubic	-31.230	-20.520	+1
93	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	384	65.937	34.063	78.677	21.323	86.86	1.000	bicubic	-31.293	-21.023	-9
94	vit_base_patch16_clip_224.openai_ft_in1k	224	65.893	34.107	80.890	19.110	86.57	0.900	bicubic	-30.467	-18.620	+190
95	beitv2_base_patch16_224.in1k_ft_in22k_in1k	224	65.740	34.260	78.847	21.153	86.53	0.900	bicubic	-31.220	-20.873	+39
96	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	384	65.517	34.483	78.860	21.140	87.92	1.000	bicubic	-31.743	-20.940	-23
97	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	256	65.507	34.493	78.437	21.563	196.74	0.900	bicubic	-31.713	-21.273	-12
98	tf_efficientnet_b6.ns_jft_in1k	528	65.447	34.553	79.437	20.563	43.04	0.942	bicubic	-31.583	-20.273	+24
99	caformer_m36.sail_in22k_ft_in1k_384	384	65.350	34.650	78.400	21.600	56.20	1.000	bicubic	-32.010	-21.380	-44
100	convformer_b36.sail_in22k_ft_in1k	224	65.273	34.727	77.950	22.050	99.88	1.000	bicubic	-31.957	-21.800	-18
101	vit_base_patch16_clip_384.openai_ft_in12k_in1k	384	65.207	34.793	78.883	21.117	86.86	0.950	bicubic	-31.923	-20.767	0
102	convnextv2_base.fcmae_ft_in22k_in1k	224	65.077	34.923	78.507	21.493	88.72	1.000	bicubic	-32.053	-21.213	-2
103	hiera_huge_224.mae_in1k_ft_in1k	224	64.973	35.027	77.720	22.280	672.78	0.900	bicubic	-32.237	-22.040	-16
104	nextvit_large.bd_ssld_6m_in1k_384	384	64.820	35.180	79.227	20.773	57.87	1.000	bicubic	-32.360	-20.393	-12
105	convnext_xlarge.fb_in22k_ft_in1k	288	64.767	35.233	77.843	22.157	350.20	1.000	bicubic	-32.713	-21.977	-66
106	convnext_base.fb_in22k_ft_in1k_384	384	64.740	35.260	78.177	21.823	88.59	1.000	bicubic	-32.500	-21.543	-27
107	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	224	64.727	35.273	77.703	22.297	86.57	0.950	bicubic	-31.893	-21.857	+103
108	convnextv2_large.fcmae_ft_in22k_in1k	288	64.670	35.330	78.170	21.830	197.96	1.000	bicubic	-32.670	-21.610	-50
109	convnext_large.fb_in22k_ft_in1k	224	64.633	35.367	77.793	22.207	197.77	1.000	bicubic	-32.527	-21.877	-13
110	hgnetv2_b5.ssld_stage2_ft_in1k	288	64.577	35.423	79.007	20.993	39.57	1.000	bicubic	-32.153	-20.623	+77
111	vit_large_patch16_224.augreg_in21k_ft_in1k	224	64.363	35.637	76.253	23.747	304.33	0.900	bicubic	-32.367	-23.347	+77
112	hgnetv2_b5.ssld_stage1_in22k_in1k	288	64.267	35.733	78.343	21.657	39.57	1.000	bicubic	-32.323	-21.227	+105
113	vit_large_r50_s32_384.augreg_in21k_ft_in1k	384	64.173	35.827	75.903	24.097	329.09	1.000	bicubic	-32.787	-23.667	+22
114	hgnet_base.ssld_in1k	224	64.023	35.977	76.763	23.237	71.58	1.000	bicubic	-32.567	-22.817	+105
115	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	224	63.940	36.060	77.457	22.543	116.09	0.950	bicubic	-33.140	-22.273	-5
116	convnext_large.fb_in22k_ft_in1k	288	63.940	36.060	77.323	22.677	197.77	1.000	bicubic	-33.300	-22.397	-36
117	convnextv2_huge.fcmae_ft_in1k	224	63.813	36.187	76.720	23.280	660.29	1.000	bicubic	-33.177	-22.940	+13
118	swin_large_patch4_window7_224.ms_in22k_ft_in1k	224	63.737	36.263	78.063	21.937	196.53	0.900	bicubic	-33.233	-21.607	+15
119	hrnet_w48_ssld.paddle_in1k	224	63.633	36.367	76.630	23.370	77.47	1.000	bilinear	-32.617	-22.850	+201
120	nextvit_base.bd_ssld_6m_in1k_384	384	63.617	36.383	78.487	21.513	44.82	1.000	bicubic	-33.623	-21.273	-42
121	seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	384	63.557	36.443	76.537	23.463	149.39	1.000	bicubic	-33.783	-23.193	-62
122	beit_base_patch16_384.in22k_ft_in22k_in1k	384	63.403	36.597	77.837	22.163	86.74	1.000	bicubic	-33.937	-21.923	-62
123	caformer_m36.sail_in22k_ft_in1k	224	63.367	36.633	76.723	23.277	56.20	1.000	bicubic	-33.663	-23.007	-2
124	convnextv2_base.fcmae_ft_in22k_in1k	288	63.157	36.843	77.070	22.930	88.72	1.000	bicubic	-34.053	-22.560	-38
125	caformer_s36.sail_in22k_ft_in1k_384	384	63.040	36.960	77.223	22.777	39.30	1.000	bicubic	-34.240	-22.497	-54
126	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	256	63.020	36.980	76.770	23.230	87.92	0.900	bicubic	-34.040	-22.820	-11
127	swin_base_patch4_window12_384.ms_in22k_ft_in1k	384	63.010	36.990	77.733	22.267	87.90	1.000	bicubic	-34.060	-22.017	-17
128	vit_base_patch16_clip_224.openai_ft_in12k_in1k	224	63.010	36.990	76.693	23.307	86.57	0.950	bicubic	-33.540	-22.787	+104
129	tf_efficientnet_b5.ns_jft_in1k	456	62.883	37.117	77.723	22.277	30.39	0.934	bicubic	-34.017	-21.917	+17
130	convnext_base.fb_in22k_ft_in1k	224	62.740	37.260	76.403	23.597	88.59	1.000	bicubic	-34.300	-23.267	-10
131	deit3_base_patch16_384.fb_in22k_ft_in1k	384	62.680	37.320	75.593	24.407	86.88	1.000	bicubic	-34.560	-24.137	-50
132	vit_base_patch8_224.augreg2_in21k_ft_in1k	224	62.417	37.583	76.617	23.383	86.58	0.900	bicubic	-34.513	-23.033	+9
133	tf_efficientnetv2_l.in21k_ft_in1k	480	62.400	37.600	76.733	23.267	118.52	1.000	bicubic	-34.920	-22.907	-69
134	tf_efficientnetv2_l.in21k_ft_in1k	384	62.387	37.613	76.653	23.347	118.52	1.000	bicubic	-34.483	-22.967	+20
135	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	224	62.353	37.647	75.000	25.000	73.88	0.950	bicubic	-34.837	-24.640	-46
136	convnext_base.fb_in22k_ft_in1k	288	62.243	37.757	76.173	23.827	88.59	1.000	bicubic	-34.997	-23.507	-59
137	vit_base_patch8_224.augreg_in21k_ft_in1k	224	62.243	37.757	75.677	24.323	86.58	0.900	bicubic	-34.847	-24.033	-30
138	tf_efficientnetv2_xl.in21k_ft_in1k	384	62.140	37.860	75.433	24.567	208.12	1.000	bicubic	-34.770	-24.027	+7
139	tf_efficientnetv2_xl.in21k_ft_in1k	512	62.120	37.880	75.600	24.400	208.12	1.000	bicubic	-35.210	-24.150	-76
140	hgnet_base.ssld_in1k	288	62.120	37.880	75.247	24.753	71.58	1.000	bicubic	-34.700	-24.383	+26
141	convformer_m36.sail_in22k_ft_in1k_384	384	62.103	37.897	75.540	24.460	57.05	1.000	bicubic	-35.267	-24.140	-87
142	hrnet_w48_ssld.paddle_in1k	288	62.067	37.933	75.293	24.707	77.47	1.000	bilinear	-34.493	-24.357	+86
143	nextvit_large.bd_ssld_6m_in1k	224	61.930	38.070	76.800	23.200	57.87	0.950	bicubic	-34.980	-22.840	+1
144	deit3_base_patch16_224.fb_in22k_ft_in1k	224	61.920	38.080	74.723	25.277	86.59	1.000	bicubic	-34.950	-24.787	+9
145	beitv2_base_patch16_224.in1k_ft_in1k	224	61.487	38.513	76.003	23.997	86.53	0.900	bicubic	-35.283	-23.547	+35
146	vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	61.487	38.513	74.580	25.420	64.11	0.950	bicubic	-35.333	-25.120	+23
147	convnextv2_huge.fcmae_ft_in1k	288	61.260	38.740	74.420	25.580	660.29	1.000	bicubic	-36.010	-25.290	-75
148	coatnet_2_rw_224.sw_in12k_ft_in1k	224	61.200	38.800	73.927	26.073	73.87	0.950	bicubic	-35.800	-25.713	-20
149	tf_efficientnet_b4.ns_jft_in1k	380	61.107	38.893	76.060	23.940	19.34	0.922	bicubic	-35.603	-23.390	+43
150	maxvit_base_tf_512.in1k	512	61.027	38.973	73.977	26.023	119.88	1.000	bicubic	-36.163	-25.673	-60
151	convformer_m36.sail_in22k_ft_in1k	224	60.910	39.090	74.460	25.540	57.05	1.000	bicubic	-36.160	-25.170	-38
152	nextvit_base.bd_ssld_6m_in1k	224	60.793	39.207	76.337	23.663	44.82	0.950	bicubic	-36.087	-23.343	-2
153	caformer_s36.sail_in22k_ft_in1k	224	60.680	39.320	75.087	24.913	39.30	1.000	bicubic	-36.150	-24.643	+10
154	nextvit_small.bd_ssld_6m_in1k_384	384	60.393	39.607	75.693	24.307	31.76	1.000	bicubic	-36.697	-23.917	-50
155	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	384	60.300	39.700	73.740	26.260	88.30	1.000	bicubic	-36.300	-25.730	+61
156	hiera_large_224.mae_in1k_ft_in1k	224	60.300	39.700	73.197	26.803	213.74	0.900	bicubic	-36.450	-26.393	+26
157	tf_efficientnetv2_m.in21k_ft_in1k	480	60.257	39.743	75.120	24.880	54.14	1.000	bicubic	-36.763	-24.500	-31
158	tf_efficientnetv2_m.in21k_ft_in1k	384	60.197	39.803	74.993	25.007	54.14	1.000	bicubic	-36.313	-24.597	+86
159	vit_base_patch16_384.augreg_in21k_ft_in1k	384	60.197	39.803	73.853	26.147	86.86	1.000	bicubic	-36.843	-25.827	-41
160	beit_base_patch16_224.in22k_ft_in22k_in1k	224	60.163	39.837	75.380	24.620	86.53	0.900	bicubic	-36.497	-24.280	+43
161	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	448	60.117	39.883	73.360	26.640	88.34	1.000	bicubic	-36.453	-26.160	+65
162	convnextv2_large.fcmae_ft_in1k	224	60.107	39.893	74.393	25.607	197.96	1.000	bicubic	-36.723	-25.227	-1
163	hgnet_small.ssld_in1k	224	60.077	39.923	75.063	24.937	24.36	1.000	bicubic	-35.963	-24.497	+216
164	convnext_small.fb_in22k_ft_in1k_384	384	59.927	40.073	74.487	25.513	50.22	1.000	bicubic	-37.213	-25.153	-66
165	convformer_s36.sail_in22k_ft_in1k_384	384	59.883	40.117	73.863	26.137	40.01	1.000	bicubic	-37.167	-25.837	-48
166	maxvit_large_tf_512.in1k	512	59.883	40.117	72.803	27.197	212.33	1.000	bicubic	-37.177	-26.887	-50
167	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	288	59.640	40.360	73.267	26.733	93.59	1.000	bicubic	-37.700	-26.443	-110
168	tiny_vit_21m_512.dist_in22k_ft_in1k	512	59.560	40.440	74.657	25.343	21.27	1.000	bicubic	-37.330	-24.963	-21
169	hgnetv2_b4.ssld_stage2_ft_in1k	224	59.547	40.453	74.917	25.083	19.80	1.000	bicubic	-36.473	-24.563	+220
170	swin_base_patch4_window7_224.ms_in22k_ft_in1k	224	59.307	40.693	73.907	26.093	87.77	0.900	bicubic	-37.363	-25.733	+31
171	vit_base_patch16_224.augreg2_in21k_ft_in1k	224	59.207	40.793	73.663	26.337	86.57	0.900	bicubic	-37.293	-25.857	+76
172	maxvit_base_tf_384.in1k	384	59.167	40.833	71.723	28.277	119.65	1.000	bicubic	-37.953	-27.977	-69
173	tiny_vit_21m_384.dist_in22k_ft_in1k	384	59.017	40.983	74.100	25.900	21.23	1.000	bicubic	-37.933	-25.510	-35
174	vit_base_patch32_clip_224.laion2b_ft_in1k	224	59.017	40.983	73.863	26.137	88.22	0.900	bicubic	-35.733	-25.187	+591
175	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	320	58.963	41.037	72.720	27.280	93.59	1.000	bicubic	-38.337	-27.060	-109
176	convformer_s36.sail_in22k_ft_in1k	224	58.890	41.110	72.837	27.163	40.01	1.000	bicubic	-37.670	-26.783	+53
177	volo_d5_512.sail_in1k	512	58.773	41.227	73.130	26.870	296.09	1.150	bicubic	-38.527	-26.650	-109
178	volo_d5_448.sail_in1k	448	58.693	41.307	72.980	27.020	295.91	1.150	bicubic	-38.557	-26.780	-104
179	vit_large_r50_s32_224.augreg_in21k_ft_in1k	224	58.693	41.307	71.857	28.143	328.99	0.900	bicubic	-37.537	-27.663	+148
180	convnext_small.in12k_ft_in1k_384	384	58.640	41.360	72.643	27.357	50.22	1.000	bicubic	-38.350	-27.017	-51
181	seresnextaa101d_32x8d.sw_in12k_ft_in1k	224	58.640	41.360	72.060	27.940	93.59	1.000	bicubic	-38.450	-27.550	-76
182	vit_base_patch32_clip_384.openai_ft_in12k_in1k	384	58.583	41.417	73.227	26.773	88.30	0.950	bicubic	-37.817	-26.393	+92
183	nextvit_small.bd_ssld_6m_in1k	224	58.580	41.420	74.237	25.763	31.76	0.950	bicubic	-38.030	-25.293	+31
184	eva02_small_patch14_336.mim_in22k_ft_in1k	336	58.480	41.520	73.013	26.987	22.13	1.000	bicubic	-38.210	-26.457	+12
185	maxvit_large_tf_384.in1k	384	58.420	41.580	71.103	28.897	212.03	1.000	bicubic	-38.540	-28.617	-49
186	deit3_large_patch16_384.fb_in1k	384	58.327	41.673	72.947	27.053	304.76	1.000	bicubic	-38.533	-26.723	-27
187	efficientvit_l3.r384_in1k	384	58.283	41.717	72.603	27.397	246.04	1.000	bicubic	-38.427	-27.037	+6
188	hgnet_small.ssld_in1k	288	58.223	41.777	73.760	26.240	24.36	1.000	bicubic	-38.177	-25.770	+82
189	convnext_small.fb_in22k_ft_in1k	224	58.223	41.777	72.943	27.057	50.22	1.000	bicubic	-38.237	-26.667	+70
190	deit3_huge_patch14_224.fb_in1k	224	58.137	41.863	72.137	27.863	632.13	0.900	bicubic	-38.443	-27.503	+34
191	convnextv2_large.fcmae_ft_in1k	288	58.063	41.937	72.560	27.440	197.96	1.000	bicubic	-38.787	-27.210	-31
192	rdnet_large.nv_in1k_ft_in1k_384	384	58.007	41.993	71.897	28.103	186.27	1.000	bicubic	-39.013	-27.773	-67
193	tf_efficientnet_b8.ap_in1k	672	57.903	42.097	72.943	27.057	87.41	0.954	bicubic	-38.667	-26.607	+32
194	hgnetv2_b4.ssld_stage1_in22k_in1k	224	57.680	42.320	72.820	27.180	19.80	1.000	bicubic	-38.280	-26.600	+216
195	seresnextaa101d_32x8d.sw_in12k_ft_in1k	288	57.670	42.330	71.337	28.663	93.59	1.000	bicubic	-39.510	-28.413	-104
196	efficientvit_l3.r320_in1k	320	57.607	42.393	71.553	28.447	246.04	1.000	bicubic	-39.133	-27.877	-10
197	convnext_small.fb_in22k_ft_in1k	288	57.603	42.397	72.497	27.503	50.22	1.000	bicubic	-39.267	-27.093	-42
198	efficientvit_l3.r224_in1k	224	57.533	42.467	71.353	28.647	246.04	1.000	bicubic	-38.957	-28.197	+54
199	vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	57.513	42.487	71.613	28.387	60.40	0.950	bicubic	-39.047	-28.067	+31
200	mvitv2_large.fb_in1k	224	57.497	42.503	70.760	29.240	217.99	0.900	bicubic	-38.933	-28.750	+68
201	cait_m48_448.fb_dist_in1k	448	57.430	42.570	71.797	28.203	356.46	1.000	bicubic	-39.460	-27.863	-52
202	cait_m36_384.fb_dist_in1k	384	57.407	42.593	72.310	27.690	271.22	1.000	bicubic	-39.413	-27.420	-35
203	tf_efficientnet_b3.ns_jft_in1k	300	57.403	42.597	72.437	27.563	12.23	0.904	bicubic	-38.717	-27.083	+146
204	hgnetv2_b3.ssld_stage2_ft_in1k	224	57.357	42.643	73.160	26.840	16.29	1.000	bicubic	-38.373	-26.270	+280
205	hgnetv2_b4.ssld_stage2_ft_in1k	288	57.323	42.677	72.923	27.077	19.80	1.000	bicubic	-38.967	-26.707	+101
206	volo_d4_448.sail_in1k	448	57.273	42.727	71.427	28.573	193.41	1.150	bicubic	-39.797	-28.343	-94
207	tiny_vit_21m_224.dist_in22k_ft_in1k	224	57.160	42.840	72.553	27.447	21.20	0.950	bicubic	-39.240	-26.907	+65
208	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	224	57.030	42.970	71.330	28.670	88.22	0.900	bicubic	-38.220	-27.990	+415
209	efficientvit_l3.r256_in1k	256	56.963	43.037	70.800	29.200	246.04	1.000	bicubic	-39.677	-28.490	-2
210	maxvit_small_tf_512.in1k	512	56.947	43.053	70.953	29.047	69.13	1.000	bicubic	-40.233	-28.737	-116
211	hgnetv2_b3.ssld_stage1_in22k_in1k	224	56.903	43.097	72.693	27.307	16.29	1.000	bicubic	-38.757	-26.707	+298
212	vit_base_patch16_224.augreg_in21k_ft_in1k	224	56.877	43.123	70.697	29.303	86.57	0.900	bicubic	-39.423	-28.873	+93
213	convnext_small.in12k_ft_in1k	224	56.790	43.210	71.100	28.900	50.22	1.000	bicubic	-39.720	-28.420	+29
214	deit3_medium_patch16_224.fb_in22k_ft_in1k	224	56.677	43.323	69.747	30.253	38.85	1.000	bicubic	-39.473	-29.743	+128
215	efficientvit_l2.r288_in1k	288	56.530	43.470	70.143	29.857	63.71	1.000	bicubic	-40.110	-29.377	-9
216	deit3_large_patch16_224.fb_in1k	224	56.487	43.513	70.483	29.517	304.37	0.900	bicubic	-39.743	-28.927	+113
217	hgnet_tiny.ssld_in1k	224	56.440	43.560	72.130	27.870	14.74	1.000	bicubic	-38.860	-27.100	+390
218	rdnet_large.nv_in1k	224	56.437	43.563	70.163	29.837	186.27	0.900	bicubic	-39.923	-29.387	+68
219	volo_d5_224.sail_in1k	224	56.387	43.613	70.687	29.313	295.46	0.960	bicubic	-40.503	-29.023	-71
220	xcit_large_24_p8_384.fb_dist_in1k	384	56.380	43.620	71.253	28.747	188.93	1.000	bicubic	-40.410	-28.277	-44
221	flexivit_large.1200ep_in1k	240	56.263	43.737	71.567	28.433	304.36	0.950	bicubic	-40.537	-28.053	-47
222	dm_nfnet_f5.dm_in1k	416	56.260	43.740	70.100	29.900	377.21	0.954	bicubic	-40.550	-29.500	-51
223	convnextv2_tiny.fcmae_ft_in22k_in1k_384	384	56.063	43.937	71.803	28.197	28.64	1.000	bicubic	-40.567	-27.787	-15
224	flexivit_large.600ep_in1k	240	56.060	43.940	71.213	28.787	304.36	0.950	bicubic	-40.690	-28.337	-41
225	xcit_large_24_p8_224.fb_dist_in1k	224	55.997	44.003	70.683	29.317	188.93	1.000	bicubic	-40.633	-28.797	-16
226	vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	55.970	44.030	70.337	29.663	38.88	0.950	bicubic	-40.520	-28.973	+25
227	dm_nfnet_f6.dm_in1k	448	55.900	44.100	69.860	30.140	438.36	0.956	bicubic	-41.030	-29.860	-87
228	caformer_s18.sail_in22k_ft_in1k_384	384	55.853	44.147	71.277	28.723	26.34	1.000	bicubic	-40.657	-28.313	+13
229	vit_base_patch32_clip_224.openai_ft_in1k	224	55.837	44.163	72.200	27.800	88.22	0.900	bicubic	-38.603	-26.980	+628
230	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	384	55.730	44.270	70.987	29.013	39.03	0.950	bicubic	-40.770	-28.603	+16
231	efficientvit_l2.r384_in1k	384	55.720	44.280	69.907	30.093	63.71	1.000	bicubic	-40.970	-29.693	-32
232	flexivit_large.300ep_in1k	240	55.697	44.303	70.690	29.310	304.36	0.950	bicubic	-40.993	-28.890	-34
233	regnety_160.sw_in12k_ft_in1k	224	55.683	44.317	70.107	29.893	83.59	1.000	bicubic	-40.767	-29.503	+28
234	regnety_160.lion_in12k_ft_in1k	224	55.647	44.353	69.927	30.073	83.59	1.000	bicubic	-40.893	-29.533	+1
235	convnext_small.in12k_ft_in1k	288	55.643	44.357	70.597	29.403	50.22	1.000	bicubic	-40.947	-29.093	-17
236	hiera_base_plus_224.mae_in1k_ft_in1k	224	55.560	44.440	68.980	31.020	69.90	0.900	bicubic	-40.820	-30.440	+45
237	hgnetv2_b4.ssld_stage1_in22k_in1k	288	55.390	44.610	71.037	28.963	19.80	1.000	bicubic	-40.870	-28.293	+78
238	convnextv2_base.fcmae_ft_in1k	224	55.273	44.727	69.613	30.387	88.72	1.000	bicubic	-41.037	-29.917	+63
239	hrnet_w18_ssld.paddle_in1k	224	55.113	44.887	69.853	30.147	21.30	1.000	bilinear	-39.987	-29.477	+436
240	hgnetv2_b3.ssld_stage2_ft_in1k	288	55.100	44.900	71.247	28.753	16.29	1.000	bicubic	-40.940	-28.343	+138
241	caformer_b36.sail_in1k_384	384	55.043	44.957	67.993	32.007	98.75	1.000	bicubic	-42.117	-31.617	-144
242	convformer_s18.sail_in22k_ft_in1k_384	384	54.977	45.023	70.010	29.990	26.77	1.000	bicubic	-41.813	-29.540	-67
243	caformer_m36.sail_in1k_384	384	54.947	45.053	68.360	31.640	56.20	1.000	bicubic	-42.073	-31.350	-120
244	xcit_large_24_p16_384.fb_dist_in1k	384	54.870	45.130	69.923	30.077	189.10	1.000	bicubic	-42.060	-29.587	-102
245	swin_small_patch4_window7_224.ms_in22k_ft_in1k	224	54.843	45.157	70.830	29.170	49.61	0.900	bicubic	-41.187	-28.700	+138
246	regnetz_e8.ra3_in1k	256	54.743	45.257	68.667	31.333	57.70	1.000	bicubic	-41.607	-30.893	+44
247	volo_d4_224.sail_in1k	224	54.713	45.287	68.827	31.173	192.96	0.960	bicubic	-42.067	-30.793	-69
248	dm_nfnet_f4.dm_in1k	384	54.697	45.303	68.933	31.067	316.07	0.951	bicubic	-42.043	-30.667	-64
249	maxvit_tiny_tf_512.in1k	512	54.647	45.353	68.887	31.113	31.05	1.000	bicubic	-42.323	-30.773	-117
250	efficientvit_l2.r224_in1k	224	54.607	45.393	67.937	32.063	63.71	1.000	bicubic	-41.653	-31.553	+68
251	hgnetv2_b2.ssld_stage1_in22k_in1k	224	54.590	45.410	70.637	29.363	11.22	1.000	bicubic	-40.310	-28.443	+475
252	deit3_small_patch16_384.fb_in22k_ft_in1k	384	54.580	45.420	68.360	31.640	22.21	1.000	bicubic	-42.090	-31.300	-50
253	hgnet_tiny.ssld_in1k	288	54.550	45.450	70.540	29.460	14.74	1.000	bicubic	-41.040	-28.920	+272
254	caformer_s36.sail_in1k_384	384	54.513	45.487	68.643	31.357	39.30	1.000	bicubic	-42.357	-31.017	-103
255	hgnetv2_b3.ssld_stage1_in22k_in1k	288	54.467	45.533	70.910	29.090	16.29	1.000	bicubic	-41.503	-28.210	+149
256	tf_efficientnetv2_l.in1k	384	54.437	45.563	68.557	31.443	118.52	1.000	bicubic	-42.113	-30.953	-22
257	convnext_large.fb_in1k	224	54.387	45.613	68.670	31.330	197.77	1.000	bicubic	-41.723	-30.800	+95
258	dm_nfnet_f5.dm_in1k	544	54.387	45.613	68.570	31.430	377.21	0.954	bicubic	-42.633	-31.100	-133
259	vit_base_r50_s16_384.orig_in21k_ft_in1k	384	54.380	45.620	69.533	30.467	98.95	1.000	bicubic	-42.090	-30.127	-4
260	dm_nfnet_f3.dm_in1k	320	54.370	45.630	68.467	31.533	254.92	0.940	bicubic	-41.990	-31.123	+23
261	maxvit_small_tf_384.in1k	384	54.327	45.673	68.160	31.840	69.02	1.000	bicubic	-42.403	-31.550	-71
262	efficientvit_l2.r256_in1k	256	54.320	45.680	67.917	32.083	63.71	1.000	bicubic	-42.160	-31.563	-8
263	xcit_large_24_p16_224.fb_dist_in1k	224	54.297	45.703	68.963	31.037	189.10	1.000	bicubic	-42.013	-30.537	+40
264	efficientnet_b5.sw_in12k_ft_in1k	448	54.290	45.710	69.820	30.180	30.39	1.000	bicubic	-42.520	-29.910	-92
265	inception_next_base.sail_in1k_384	384	54.233	45.767	68.490	31.510	86.67	1.000	bicubic	-42.497	-31.060	-76
266	resnetv2_152x4_bit.goog_in21k_ft_in1k	480	54.197	45.803	70.273	29.727	936.53	1.000	bilinear	-42.663	-29.347	-109
267	efficientnetv2_rw_m.agc_in1k	320	54.183	45.817	69.040	30.960	53.24	1.000	bicubic	-42.007	-30.420	+68
268	regnety_160.sw_in12k_ft_in1k	288	54.157	45.843	68.857	31.143	83.59	1.000	bicubic	-42.663	-30.803	-103
269	caformer_s18.sail_in22k_ft_in1k	224	54.113	45.887	69.680	30.320	26.34	1.000	bicubic	-41.917	-29.810	+111
270	vit_small_r26_s32_384.augreg_in21k_ft_in1k	384	54.097	45.903	68.783	31.217	36.47	1.000	bicubic	-41.963	-30.767	+99
271	regnety_160.lion_in12k_ft_in1k	288	54.090	45.910	68.860	31.140	83.59	1.000	bicubic	-42.720	-30.730	-101
272	tf_efficientnet_b5.ap_in1k	456	53.943	46.057	69.230	30.770	30.39	0.934	bicubic	-42.147	-30.260	+86
273	regnety_120.sw_in12k_ft_in1k	224	53.940	46.060	68.917	31.083	51.82	1.000	bicubic	-42.260	-30.593	+60
274	volo_d3_448.sail_in1k	448	53.937	46.063	67.953	32.047	86.63	1.000	bicubic	-43.103	-31.747	-155
275	caformer_b36.sail_in1k	224	53.927	46.073	66.600	33.400	98.75	1.000	bicubic	-42.613	-33.100	-39
276	convnextv2_tiny.fcmae_ft_in22k_in1k	224	53.903	46.097	69.743	30.257	28.64	1.000	bicubic	-42.177	-29.497	+87
277	hgnetv2_b2.ssld_stage2_ft_in1k	224	53.700	46.300	69.837	30.163	11.22	1.000	bicubic	-41.510	-29.483	+364
278	dm_nfnet_f6.dm_in1k	576	53.660	46.340	68.183	31.817	438.36	0.956	bicubic	-43.320	-31.577	-147
279	xcit_medium_24_p8_224.fb_dist_in1k	224	53.657	46.343	68.307	31.693	84.32	1.000	bicubic	-42.863	-31.263	-39
280	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	256	53.597	46.403	69.173	30.827	38.86	0.950	bicubic	-42.403	-30.327	+115
281	tf_efficientnet_b6.ap_in1k	528	53.577	46.423	68.583	31.417	43.04	0.942	bicubic	-42.783	-31.027	+4
282	cait_s36_384.fb_dist_in1k	384	53.523	46.477	68.010	31.990	68.37	1.000	bicubic	-43.117	-31.590	-77
283	tf_efficientnet_b2.ns_jft_in1k	260	53.500	46.500	70.357	29.643	9.11	0.890	bicubic	-42.030	-28.943	+258
284	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	384	53.463	46.537	68.777	31.223	32.59	1.000	bicubic	-42.817	-30.663	+26
285	dm_nfnet_f3.dm_in1k	416	53.437	46.563	67.580	32.420	254.92	0.940	bicubic	-43.173	-32.050	-73
286	deit3_base_patch16_224.fb_in1k	224	53.430	46.570	67.577	32.423	86.59	0.900	bicubic	-42.350	-31.863	+185
287	deit3_base_patch16_384.fb_in1k	384	53.417	46.583	67.593	32.407	86.88	1.000	bicubic	-42.813	-31.707	+41
288	convformer_s18.sail_in22k_ft_in1k	224	53.410	46.590	68.627	31.373	26.77	1.000	bicubic	-42.680	-30.523	+72
289	vit_base_patch32_384.augreg_in21k_ft_in1k	384	53.387	46.613	68.153	31.847	88.30	1.000	bicubic	-42.523	-31.207	+131
290	convnextv2_base.fcmae_ft_in1k	288	53.387	46.613	67.783	32.217	88.72	1.000	bicubic	-43.113	-31.847	-41
291	xcit_medium_24_p8_384.fb_dist_in1k	384	53.360	46.640	68.117	31.883	84.32	1.000	bicubic	-43.420	-31.553	-112
292	tf_efficientnet_b7.ap_in1k	600	53.320	46.680	68.900	31.100	66.35	0.949	bicubic	-43.040	-30.620	-10
293	hrnet_w18_ssld.paddle_in1k	288	53.293	46.707	68.113	31.887	21.30	1.000	bilinear	-42.467	-31.297	+183
294	maxvit_base_tf_224.in1k	224	53.287	46.713	66.233	33.767	119.47	0.950	bicubic	-43.063	-33.147	-3
295	tf_efficientnetv2_s.in21k_ft_in1k	384	53.253	46.747	69.073	30.927	21.46	1.000	bicubic	-43.217	-30.487	-39
296	tf_efficientnetv2_s.in21k_ft_in1k	300	53.250	46.750	69.130	30.870	21.46	1.000	bicubic	-42.660	-30.100	+126
297	xcit_medium_24_p16_384.fb_dist_in1k	384	53.237	46.763	68.103	31.897	84.40	1.000	bicubic	-43.453	-31.507	-100
298	tf_efficientnetv2_l.in1k	480	53.193	46.807	67.867	32.133	118.52	1.000	bicubic	-43.537	-31.743	-107
299	tf_efficientnet_b8.ra_in1k	672	53.170	46.830	68.950	31.050	87.41	0.954	bicubic	-43.530	-30.630	-104
300	hiera_base_224.mae_in1k_ft_in1k	224	53.163	46.837	67.490	32.510	51.52	0.900	bicubic	-43.187	-31.870	-8
301	convnext_large.fb_in1k	288	53.143	46.857	67.817	32.183	197.77	1.000	bicubic	-43.247	-31.653	-26
302	tf_efficientnet_b4.ap_in1k	380	53.113	46.887	68.280	31.720	19.34	0.922	bicubic	-42.387	-30.830	+242
303	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	448	53.113	46.887	67.953	32.047	32.59	1.000	bicubic	-43.167	-31.467	+9
304	regnetz_e8.ra3_in1k	320	53.063	46.937	67.167	32.833	57.70	1.000	bicubic	-43.547	-32.443	-91
305	maxvit_large_tf_224.in1k	224	53.010	46.990	65.427	34.573	211.79	0.950	bicubic	-43.320	-34.053	-7
306	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	480	52.943	47.057	68.250	31.750	32.59	1.000	bicubic	-43.587	-31.340	-68
307	rexnetr_300.sw_in12k_ft_in1k	224	52.927	47.073	69.060	30.940	34.81	1.000	bicubic	-43.103	-30.360	+77
308	convnext_tiny.in12k_ft_in1k_384	384	52.890	47.110	68.400	31.600	28.59	1.000	bicubic	-43.690	-31.260	-88
309	rdnet_small.nv_in1k	224	52.817	47.183	67.513	32.487	50.44	0.900	bicubic	-43.013	-31.917	+142
310	deit3_small_patch16_224.fb_in22k_ft_in1k	224	52.803	47.197	66.857	33.143	22.06	1.000	bicubic	-43.017	-32.493	+145
311	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	224	52.783	47.217	66.423	33.577	41.72	0.950	bicubic	-43.377	-33.057	+30
312	rdnet_base.nv_in1k	224	52.693	47.307	66.903	33.097	87.45	0.900	bicubic	-43.377	-32.417	+55
313	volo_d3_224.sail_in1k	224	52.653	47.347	66.300	33.700	86.33	0.960	bicubic	-43.807	-33.250	-55
314	maxvit_tiny_tf_384.in1k	384	52.587	47.413	66.707	33.293	30.98	1.000	bicubic	-43.993	-32.863	-92
315	efficientvit_l1.r224_in1k	224	52.520	47.480	65.647	34.353	52.65	1.000	bicubic	-43.450	-33.533	+94
316	regnety_120.sw_in12k_ft_in1k	288	52.477	47.523	67.500	32.500	51.82	1.000	bicubic	-44.083	-31.980	-89
317	dm_nfnet_f4.dm_in1k	512	52.400	47.600	66.920	33.080	316.07	0.951	bicubic	-44.550	-32.710	-180
318	tf_efficientnet_b7.ra_in1k	600	52.373	47.627	68.197	31.803	66.35	0.949	bicubic	-44.237	-31.383	-103
319	efficientnetv2_rw_m.agc_in1k	416	52.347	47.653	67.263	32.737	53.24	1.000	bicubic	-43.933	-32.297	-10
320	ecaresnet269d.ra2_in1k	320	52.347	47.653	66.717	33.283	102.09	1.000	bicubic	-44.033	-32.753	-41
321	tf_efficientnetv2_m.in1k	384	52.337	47.663	67.097	32.903	54.14	1.000	bicubic	-43.683	-32.253	+70
322	vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k	256	52.327	47.673	66.210	33.790	63.95	0.950	bicubic	-43.793	-33.260	+29
323	xcit_small_24_p8_384.fb_dist_in1k	384	52.310	47.690	66.847	33.153	47.63	1.000	bicubic	-44.510	-32.833	-154
324	inception_next_base.sail_in1k	224	52.293	47.707	65.843	34.157	86.67	0.950	bicubic	-43.617	-33.597	+100
325	resnet18.fb_swsl_ig1b_ft_in1k	224	52.257	47.743	70.470	29.530	11.69	0.875	bilinear	-38.803	-27.730	+1015
326	xcit_medium_24_p16_224.fb_dist_in1k	224	52.223	47.777	66.883	33.117	84.40	1.000	bicubic	-44.037	-32.727	-9
327	convformer_b36.sail_in1k_384	384	52.207	47.793	66.350	33.650	99.88	1.000	bicubic	-44.663	-33.300	-175
328	deit_base_distilled_patch16_384.fb_in1k	384	52.203	47.797	67.717	32.283	87.63	1.000	bicubic	-44.307	-31.873	-85
329	hgnetv2_b2.ssld_stage1_in22k_in1k	288	52.200	47.800	68.813	31.187	11.22	1.000	bicubic	-43.360	-30.627	+207
330	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	544	52.197	47.803	67.093	32.907	32.59	1.000	bicubic	-44.483	-32.467	-130
331	convformer_m36.sail_in1k_384	384	52.167	47.833	65.930	34.070	57.05	1.000	bicubic	-44.603	-33.680	-151
332	xcit_small_24_p8_224.fb_dist_in1k	224	52.163	47.837	66.730	33.270	47.63	1.000	bicubic	-44.387	-32.830	-100
333	nextvit_large.bd_in1k_384	384	52.143	47.857	67.460	32.540	57.87	1.000	bicubic	-44.317	-32.150	-74
334	convnext_base.fb_in1k	224	52.143	47.857	67.113	32.887	88.59	1.000	bicubic	-43.807	-32.277	+83
335	convnext_tiny.in12k_ft_in1k	224	52.117	47.883	67.613	32.387	28.59	1.000	bicubic	-43.943	-31.937	+33
336	convnext_tiny.fb_in22k_ft_in1k_384	384	52.077	47.923	66.877	33.123	28.59	1.000	bicubic	-44.083	-32.443	+4
337	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	384	52.070	47.930	68.833	31.167	236.34	1.000	bicubic	-44.100	-30.697	0
338	resmlp_big_24_224.fb_in22k_ft_in1k	224	51.913	48.087	68.427	31.573	129.14	0.875	bicubic	-44.447	-31.143	-51
339	fastvit_ma36.apple_dist_in1k	256	51.887	48.113	67.027	32.973	44.07	0.950	bicubic	-44.423	-32.473	-37
340	convformer_s36.sail_in1k_384	384	51.880	48.120	66.113	33.887	40.01	1.000	bicubic	-44.820	-33.437	-146
341	xcit_small_24_p16_384.fb_dist_in1k	384	51.870	48.130	66.317	33.683	47.67	1.000	bicubic	-44.510	-33.263	-63
342	resnetv2_152x2_bit.goog_in21k_ft_in1k	448	51.817	48.183	69.360	30.640	236.34	1.000	bilinear	-44.713	-30.180	-105
343	convnextv2_tiny.fcmae_ft_in22k_in1k	288	51.757	48.243	67.730	32.270	28.64	1.000	bicubic	-44.583	-31.820	-50
344	vit_base_patch16_rope_reg1_gap_256.sbb_in1k	256	51.743	48.257	65.850	34.150	86.43	0.950	bicubic	-44.307	-33.410	+33
345	cait_s24_384.fb_dist_in1k	384	51.727	48.273	66.307	33.693	47.06	1.000	bicubic	-44.853	-33.243	-122
346	mobilenetv4_hybrid_large.e600_r384_in1k	384	51.700	48.300	66.170	33.830	37.76	1.000	bicubic	-44.100	-33.100	+117
347	caformer_m36.sail_in1k	224	51.673	48.327	64.480	35.520	56.20	1.000	bicubic	-44.727	-34.980	-76
348	caformer_s36.sail_in1k	224	51.657	48.343	64.873	35.127	39.30	1.000	bicubic	-44.433	-34.667	+11
349	regnety_2560.seer_ft_in1k	384	51.620	48.380	68.107	31.893	1,282.60	1.000	bicubic	-44.930	-31.453	-116
350	rexnetr_300.sw_in12k_ft_in1k	288	51.593	48.407	67.817	32.183	34.81	1.000	bicubic	-44.567	-31.723	-11
351	ecaresnet269d.ra2_in1k	352	51.593	48.407	66.073	33.927	102.09	1.000	bicubic	-44.857	-33.467	-89
352	vit_base_patch16_224_miil.in21k_ft_in1k	224	51.577	48.423	65.260	34.740	86.54	0.875	bilinear	-44.473	-34.130	+24
353	convnext_tiny.fb_in22k_ft_in1k	224	51.573	48.427	66.947	33.053	28.59	1.000	bicubic	-44.027	-32.333	+169
354	regnetz_040_h.ra3_in1k	256	51.570	48.430	66.557	33.443	28.94	1.000	bicubic	-44.420	-32.833	+47
355	mobilenetv4_hybrid_large.ix_e600_r384_in1k	384	51.557	48.443	65.890	34.110	37.76	1.000	bicubic	-44.313	-33.550	+80
356	mvitv2_base.fb_in1k	224	51.550	48.450	65.633	34.367	51.47	0.900	bicubic	-44.470	-33.887	+37
357	tf_efficientnetv2_m.in1k	480	51.527	48.473	66.623	33.377	54.14	1.000	bicubic	-44.963	-32.917	-108
358	davit_small.msft_in1k	224	51.443	48.557	66.433	33.567	49.75	0.950	bicubic	-44.607	-32.967	+17
359	repvit_m2_3.dist_450e_in1k	224	51.433	48.567	66.833	33.167	23.69	0.950	bicubic	-44.567	-32.517	+38
360	coat_lite_medium_384.in1k	384	51.407	48.593	65.677	34.323	44.57	1.000	bicubic	-45.213	-33.773	-149
361	eca_nfnet_l2.ra3_in1k	320	51.373	48.627	66.477	33.523	56.72	1.000	bicubic	-44.757	-33.073	-16
362	vit_medium_patch16_rope_reg1_gap_256.sbb_in1k	256	51.353	48.647	65.713	34.287	38.74	0.950	bicubic	-44.547	-33.757	+65
363	hgnetv2_b2.ssld_stage2_ft_in1k	288	51.347	48.653	68.043	31.957	11.22	1.000	bicubic	-44.383	-31.167	+120
364	edgenext_base.in21k_ft_in1k	320	51.340	48.660	65.760	34.240	18.51	1.000	bicubic	-44.850	-33.710	-30
365	caformer_s18.sail_in1k_384	384	51.313	48.687	65.700	34.300	26.34	1.000	bicubic	-45.137	-33.860	-102
366	maxvit_small_tf_224.in1k	224	51.300	48.700	65.363	34.637	68.93	0.950	bicubic	-44.960	-34.037	-50
367	efficientnet_b4.ra2_in1k	320	51.287	48.713	66.463	33.537	19.34	1.000	bicubic	-43.903	-32.657	+277
368	maxvit_rmlp_small_rw_224.sw_in1k	224	51.277	48.723	65.020	34.980	64.90	0.900	bicubic	-44.693	-34.320	+39
369	davit_base.msft_in1k	224	51.273	48.727	65.200	34.800	87.95	0.950	bicubic	-44.967	-34.200	-45
370	convnext_tiny.in12k_ft_in1k	288	51.263	48.737	66.947	33.053	28.59	1.000	bicubic	-44.977	-32.333	-47
371	seresnextaa101d_32x8d.ah_in1k	224	51.163	48.837	65.100	34.900	93.59	1.000	bicubic	-44.807	-34.510	+35
372	xcit_small_12_p8_384.fb_dist_in1k	384	51.150	48.850	65.887	34.113	26.21	1.000	bicubic	-45.330	-33.503	-119
373	convformer_b36.sail_in1k	224	51.110	48.890	64.293	35.707	99.88	1.000	bicubic	-45.140	-35.247	-51
374	vit_base_patch16_384.orig_in21k_ft_in1k	384	51.050	48.950	65.380	34.620	86.86	1.000	bicubic	-45.120	-34.130	-38
375	convnext_base.fb_in1k	288	51.030	48.970	65.817	34.183	88.59	1.000	bicubic	-45.300	-33.733	-79
376	vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k	256	51.020	48.980	64.717	35.283	60.23	0.950	bicubic	-44.780	-34.633	+88
377	convformer_m36.sail_in1k	224	51.003	48.997	63.637	36.363	57.05	1.000	bicubic	-45.077	-35.743	-13
378	edgenext_base.usi_in1k	256	50.957	49.043	66.577	33.423	18.51	1.000	bicubic	-44.783	-32.833	+102
379	nextvit_large.bd_in1k	224	50.933	49.067	66.000	34.000	57.87	0.950	bicubic	-44.947	-33.410	+53
380	convformer_s36.sail_in1k	224	50.850	49.150	64.053	35.947	40.01	1.000	bicubic	-45.270	-35.247	-28
381	edgenext_base.in21k_ft_in1k	256	50.843	49.157	65.123	34.877	18.51	1.000	bicubic	-45.147	-34.267	+19
382	mobilenetv4_hybrid_large.e600_r384_in1k	448	50.837	49.163	65.657	34.343	37.76	1.000	bicubic	-45.063	-33.893	+44
383	volo_d2_384.sail_in1k	384	50.800	49.200	65.570	34.430	58.87	1.000	bicubic	-45.940	-34.050	-198
384	tf_efficientnet_b1.ns_jft_in1k	240	50.797	49.203	67.887	32.113	7.79	0.882	bicubic	-44.073	-31.153	+355
385	xcit_small_24_p16_224.fb_dist_in1k	224	50.743	49.257	65.047	34.953	47.67	1.000	bicubic	-45.057	-34.343	+77
386	flexivit_base.1200ep_in1k	240	50.737	49.263	65.127	34.873	86.59	0.950	bicubic	-45.403	-34.283	-42
387	mobilenetv4_hybrid_large.ix_e600_r384_in1k	448	50.710	49.290	65.410	34.590	37.76	1.000	bicubic	-45.390	-33.860	-31
388	tiny_vit_11m_224.dist_in22k_ft_in1k	224	50.693	49.307	66.897	33.103	11.00	0.950	bicubic	-45.027	-32.383	+104
389	vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	256	50.687	49.313	65.217	34.783	22.52	0.950	bicubic	-45.143	-34.003	+63
390	convformer_s18.sail_in1k_384	384	50.663	49.337	65.630	34.370	26.77	1.000	bicubic	-45.587	-33.810	-71
391	repvit_m2_3.dist_300e_in1k	224	50.657	49.343	66.677	33.323	23.69	0.950	bicubic	-45.013	-32.553	+110
392	regnetz_040.ra3_in1k	256	50.637	49.363	65.223	34.777	27.12	1.000	bicubic	-45.103	-34.217	+89
393	resnetrs420.tf_in1k	320	50.607	49.393	64.880	35.120	191.89	1.000	bicubic	-45.503	-34.590	-39
394	dm_nfnet_f2.dm_in1k	256	50.600	49.400	65.027	34.973	193.78	0.920	bicubic	-45.430	-34.373	-7
395	efficientnetv2_rw_s.ra2_in1k	288	50.587	49.413	65.553	34.447	23.94	1.000	bicubic	-44.833	-33.507	+175
396	efficientvit_b3.r256_in1k	256	50.567	49.433	64.200	35.800	48.65	1.000	bicubic	-45.263	-35.050	+58
397	resnetv2_101x3_bit.goog_in21k_ft_in1k	448	50.550	49.450	67.950	32.050	387.93	1.000	bilinear	-45.750	-31.640	-93
398	coatnet_rmlp_2_rw_224.sw_in1k	224	50.550	49.450	63.383	36.617	73.88	0.950	bicubic	-45.690	-36.267	-73
399	efficientnet_b4.ra2_in1k	384	50.533	49.467	65.803	34.197	19.34	1.000	bicubic	-44.987	-33.597	+144
400	convnext_small.fb_in1k	224	50.530	49.470	65.680	34.320	50.22	1.000	bicubic	-45.050	-33.690	+127
401	xcit_small_12_p8_224.fb_dist_in1k	224	50.463	49.537	65.507	34.493	26.21	1.000	bicubic	-45.497	-33.873	+10
402	regnetz_d32.ra3_in1k	256	50.440	49.560	66.807	33.193	27.58	0.950	bicubic	-44.950	-32.503	+178
403	xcit_small_12_p16_384.fb_dist_in1k	384	50.440	49.560	65.290	34.710	26.25	1.000	bicubic	-45.950	-34.240	-126
404	volo_d1_384.sail_in1k	384	50.430	49.570	64.817	35.183	26.78	1.000	bicubic	-46.060	-34.793	-154
405	efficientvit_b3.r288_in1k	288	50.403	49.597	64.030	35.970	48.65	1.000	bicubic	-45.697	-35.440	-48
406	vit_betwixt_patch16_reg4_gap_256.sbb_in1k	256	50.380	49.620	64.967	35.033	60.40	0.950	bicubic	-45.190	-34.263	+128
407	flexivit_base.600ep_in1k	240	50.380	49.620	64.677	35.323	86.59	0.950	bicubic	-45.600	-34.783	-4
408	seresnet152d.ra2_in1k	256	50.353	49.647	65.113	34.887	66.84	1.000	bicubic	-45.647	-34.307	-12
409	resnetrs350.tf_in1k	288	50.337	49.663	64.560	35.440	163.96	1.000	bicubic	-45.873	-34.830	-78
410	fastvit_sa36.apple_dist_in1k	256	50.327	49.673	65.720	34.280	31.53	0.900	bicubic	-45.623	-33.650	+5
411	regnetz_040_h.ra3_in1k	320	50.317	49.683	65.613	34.387	28.94	1.000	bicubic	-46.033	-33.887	-122
412	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	224	50.313	49.687	66.147	33.853	194.03	0.875	bilinear	-45.097	-33.133	+161
413	inception_next_small.sail_in1k	224	50.293	49.707	65.130	34.870	49.37	0.875	bicubic	-45.397	-34.250	+83
414	cait_s24_224.fb_dist_in1k	224	50.250	49.750	65.003	34.997	46.92	1.000	bicubic	-45.400	-34.377	+97
415	seresnext101d_32x8d.ah_in1k	224	50.247	49.753	63.480	36.520	93.59	1.000	bicubic	-45.623	-35.800	+21
416	pit_b_distilled_224.in1k	224	50.233	49.767	64.983	35.017	74.79	0.900	bicubic	-45.627	-34.207	+26
417	eca_nfnet_l2.ra3_in1k	384	50.217	49.783	65.463	34.537	56.72	1.000	bicubic	-46.243	-34.077	-160
418	resnet200d.ra2_in1k	256	50.187	49.813	65.053	34.947	64.69	1.000	bicubic	-45.593	-34.217	+50
419	vit_small_patch16_384.augreg_in21k_ft_in1k	384	50.180	49.820	65.860	34.140	22.20	1.000	bicubic	-45.840	-33.640	-32
420	pvt_v2_b5.in1k	224	50.180	49.820	65.063	34.937	81.96	0.900	bicubic	-45.770	-34.327	-6
421	mvitv2_small.fb_in1k	224	50.163	49.837	64.893	35.107	34.87	0.900	bicubic	-45.727	-34.527	+8
422	tf_efficientnet_b3.ap_in1k	300	50.137	49.863	65.300	34.700	12.23	0.904	bicubic	-44.863	-33.790	+279
423	resnest269e.in1k	416	50.133	49.867	64.663	35.337	110.93	0.928	bicubic	-45.987	-34.717	-75
424	tresnet_v2_l.miil_in21k_ft_in1k	224	50.120	49.880	65.177	34.823	46.17	0.875	bilinear	-45.720	-33.993	+24
425	mobilenetv4_conv_large.e600_r384_in1k	384	50.103	49.897	65.443	34.557	32.59	1.000	bicubic	-45.297	-33.887	+150
426	deit3_medium_patch16_224.fb_in1k	224	50.090	49.910	64.693	35.307	38.85	0.900	bicubic	-45.290	-34.537	+161
427	deit_base_distilled_patch16_224.fb_in1k	224	50.067	49.933	66.250	33.750	87.34	0.900	bicubic	-45.713	-33.070	+43
428	resnetaa101d.sw_in12k_ft_in1k	224	50.057	49.943	64.793	35.207	44.57	1.000	bicubic	-45.803	-34.657	+13
429	pvt_v2_b4.in1k	224	50.050	49.950	65.097	34.903	62.56	0.900	bicubic	-45.880	-34.253	-11
430	vit_betwixt_patch16_reg1_gap_256.sbb_in1k	256	50.047	49.953	64.617	35.383	60.40	0.950	bicubic	-45.623	-34.663	+73
431	vit_medium_patch16_reg4_gap_256.sbb_in1k	256	50.023	49.977	64.920	35.080	38.88	0.950	bicubic	-45.767	-34.660	+35
432	flexivit_base.300ep_in1k	240	50.007	49.993	64.110	35.890	86.59	0.950	bicubic	-45.963	-35.270	-27
433	coat_lite_medium.in1k	224	49.977	50.023	64.800	35.200	44.57	0.900	bicubic	-46.023	-34.600	-35
434	nextvit_base.bd_in1k_384	384	49.967	50.033	65.603	34.397	44.82	1.000	bicubic	-46.383	-33.807	-146
435	efficientformer_l7.snap_dist_in1k	224	49.850	50.150	66.030	33.970	82.23	0.950	bicubic	-45.770	-33.420	+80
436	resnest200e.in1k	320	49.813	50.187	64.787	35.213	70.20	0.909	bicubic	-46.287	-34.623	-81
437	resnet152d.ra2_in1k	256	49.783	50.217	65.087	34.913	60.21	1.000	bicubic	-45.597	-34.093	+147
438	volo_d2_224.sail_in1k	224	49.777	50.223	64.563	35.437	58.68	0.960	bicubic	-46.653	-35.197	-171
439	seresnextaa101d_32x8d.ah_in1k	288	49.753	50.247	64.487	35.513	93.59	1.000	bicubic	-46.657	-35.033	-170
440	xception65.ra3_in1k	299	49.750	50.250	63.470	36.530	39.92	0.940	bicubic	-45.930	-35.980	+60
441	mobilenetv4_conv_large.e600_r384_in1k	448	49.747	50.253	64.667	35.333	32.59	1.000	bicubic	-45.933	-34.693	+57
442	mobilenetv4_conv_aa_large.e600_r384_in1k	384	49.710	50.290	64.533	35.467	32.59	1.000	bicubic	-45.890	-34.727	+82
443	regnetz_d8.ra3_in1k	256	49.680	50.320	65.823	34.177	23.37	1.000	bicubic	-45.930	-33.457	+76
444	swinv2_base_window16_256.ms_in1k	256	49.597	50.403	63.717	36.283	87.92	0.900	bicubic	-46.573	-35.683	-106
445	convnextv2_nano.fcmae_ft_in22k_in1k_384	384	49.567	50.433	65.567	34.433	15.62	1.000	bicubic	-46.213	-33.713	+24
446	nextvit_base.bd_in1k	224	49.563	50.437	64.970	35.030	44.82	0.950	bicubic	-46.127	-34.270	+49
447	maxvit_rmlp_tiny_rw_256.sw_in1k	256	49.557	50.443	63.733	36.267	29.15	0.950	bicubic	-46.493	-35.677	-73
448	efficientformerv2_l.snap_dist_in1k	224	49.553	50.447	65.070	34.930	26.32	0.950	bicubic	-46.187	-34.300	+34
449	pvt_v2_b3.in1k	224	49.547	50.453	64.840	35.160	45.24	0.900	bicubic	-45.943	-34.490	+99
450	fastvit_ma36.apple_in1k	256	49.523	50.477	63.457	36.543	44.07	0.950	bicubic	-46.487	-35.903	-56
451	cait_xs24_384.fb_dist_in1k	384	49.503	50.497	64.837	35.163	26.67	1.000	bicubic	-46.527	-34.713	-66
452	tf_efficientnet_b5.ra_in1k	456	49.487	50.513	65.603	34.397	30.39	0.934	bicubic	-46.493	-33.817	-50
453	resnet200d.ra2_in1k	320	49.427	50.573	64.303	35.697	64.69	1.000	bicubic	-46.693	-35.157	-103
454	xcit_small_12_p16_224.fb_dist_in1k	224	49.410	50.590	63.903	36.097	26.25	1.000	bicubic	-46.360	-35.457	+20
455	hiera_small_224.mae_in1k_ft_in1k	224	49.377	50.623	64.433	35.567	35.01	0.900	bicubic	-46.443	-34.897	+4
456	resnest101e.in1k	256	49.373	50.627	65.513	34.487	48.28	0.875	bilinear	-46.237	-33.867	+64
457	vit_base_patch32_224.augreg_in21k_ft_in1k	224	49.370	50.630	64.453	35.547	88.22	0.900	bicubic	-45.030	-34.467	+407
458	rdnet_tiny.nv_in1k	224	49.357	50.643	63.543	36.457	23.86	0.900	bicubic	-45.953	-35.707	+147
459	dm_nfnet_f2.dm_in1k	352	49.303	50.697	63.923	36.077	193.78	0.920	bicubic	-47.217	-35.547	-220
460	resnet152d.ra2_in1k	320	49.283	50.717	64.430	35.570	60.21	1.000	bicubic	-46.577	-35.010	-20
461	tiny_vit_21m_224.in1k	224	49.247	50.753	64.283	35.717	21.20	0.950	bicubic	-46.443	-34.987	+36
462	seresnet152d.ra2_in1k	320	49.210	50.790	64.263	35.737	66.84	1.000	bicubic	-47.110	-35.247	-163
463	dm_nfnet_f1.dm_in1k	224	49.183	50.817	63.513	36.487	132.63	0.910	bicubic	-46.427	-35.727	+55
464	regnetz_040.ra3_in1k	320	49.177	50.823	64.040	35.960	27.12	1.000	bicubic	-47.023	-35.460	-132
465	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	224	49.170	50.830	65.447	34.553	236.34	0.875	bicubic	-46.580	-34.033	+14
466	xcit_large_24_p8_224.fb_in1k	224	49.157	50.843	62.720	37.280	188.93	1.000	bicubic	-46.933	-36.790	-105
467	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	224	49.153	50.847	65.493	34.507	88.79	0.875	bilinear	-46.187	-33.837	+127
468	resnetrs270.tf_in1k	256	49.140	50.860	63.823	36.177	129.86	1.000	bicubic	-46.710	-35.577	-25
469	seresnext101_32x8d.ah_in1k	224	49.083	50.917	62.233	37.767	93.57	1.000	bicubic	-46.587	-37.157	+36
470	convnext_small.fb_in1k	288	49.043	50.957	64.770	35.230	50.22	1.000	bicubic	-46.947	-34.660	-71
471	repvgg_b3.rvgg_in1k	224	49.020	50.980	64.893	35.107	123.09	0.875	bilinear	-45.590	-34.027	+336
472	gcvit_base.in1k	224	49.000	51.000	63.960	36.040	90.32	0.875	bicubic	-47.060	-35.530	-101
473	resmlp_big_24_224.fb_distilled_in1k	224	48.997	51.003	65.427	34.573	129.14	0.875	bicubic	-46.863	-34.003	-35
474	resnetaa101d.sw_in12k_ft_in1k	288	48.997	51.003	64.133	35.867	44.57	1.000	bicubic	-47.403	-35.367	-202
475	maxxvit_rmlp_small_rw_256.sw_in1k	256	48.997	51.003	63.100	36.900	66.01	0.950	bicubic	-47.233	-36.390	-146
476	volo_d1_224.sail_in1k	224	48.980	51.020	63.173	36.827	26.63	0.960	bicubic	-47.050	-36.317	-90
477	resnext101_64x4d.tv_in1k	224	48.970	51.030	63.533	36.467	83.46	0.875	bilinear	-46.870	-35.767	-31
478	efficientvit_b3.r224_in1k	224	48.963	51.037	62.997	37.003	48.65	0.950	bicubic	-46.587	-36.333	+60
479	ecaresnet101d.miil_in1k	224	48.953	51.047	64.520	35.480	44.57	0.950	bicubic	-46.217	-34.610	+168
480	vit_medium_patch16_reg1_gap_256.sbb_in1k	256	48.940	51.060	64.040	35.960	38.88	0.950	bicubic	-46.970	-35.320	-57
481	mobilenetv4_conv_aa_large.e600_r384_in1k	480	48.880	51.120	63.520	36.480	32.59	1.000	bicubic	-47.150	-35.820	-100
482	resnetrs420.tf_in1k	416	48.817	51.183	63.480	36.520	191.89	1.000	bicubic	-47.633	-36.190	-218
483	maxvit_tiny_tf_224.in1k	224	48.803	51.197	62.953	37.047	30.92	0.950	bicubic	-47.027	-36.467	-30
484	hgnetv2_b1.ssld_stage1_in22k_in1k	224	48.747	51.253	65.957	34.043	6.34	1.000	bicubic	-44.783	-32.843	+598
485	caformer_s18.sail_in1k	224	48.740	51.260	62.937	37.063	26.34	1.000	bicubic	-46.960	-36.403	+9
486	convnextv2_tiny.fcmae_ft_in1k	224	48.733	51.267	63.800	36.200	28.64	1.000	bicubic	-46.647	-35.560	+100
487	convformer_s18.sail_in1k	224	48.730	51.270	62.960	37.040	26.77	1.000	bicubic	-46.600	-36.420	+110
488	efficientnetv2_rw_s.ra2_in1k	384	48.690	51.310	63.850	36.150	23.94	1.000	bicubic	-47.080	-35.450	-16
489	resnext101_32x8d.tv2_in1k	176	48.670	51.330	63.177	36.823	88.79	0.965	bilinear	-46.180	-36.233	+259
490	regnetz_d8_evos.ch_in1k	256	48.663	51.337	64.573	35.427	23.46	1.000	bicubic	-47.167	-34.837	-40
491	deit3_small_patch16_384.fb_in1k	384	48.643	51.357	62.717	37.283	22.21	1.000	bicubic	-47.027	-36.573	+11
492	regnetz_d32.ra3_in1k	320	48.620	51.380	65.207	34.793	27.58	0.950	bicubic	-47.250	-33.883	-58
493	efficientnet_b3.ra2_in1k	320	48.590	51.410	64.343	35.657	12.23	1.000	bicubic	-46.570	-34.867	+159
494	edgenext_base.usi_in1k	320	48.580	51.420	64.407	35.593	18.51	1.000	bicubic	-47.210	-34.873	-29
495	swinv2_small_window16_256.ms_in1k	256	48.550	51.450	62.653	37.347	49.73	0.900	bicubic	-47.510	-36.737	-123
496	seresnext101d_32x8d.ah_in1k	288	48.517	51.483	62.977	37.023	93.59	1.000	bicubic	-47.863	-36.523	-216
497	rexnetr_200.sw_in12k_ft_in1k	224	48.433	51.567	65.320	34.680	16.52	1.000	bicubic	-46.827	-34.060	+118
498	efficientnet_b3.ra2_in1k	288	48.433	51.567	64.307	35.693	12.23	1.000	bicubic	-46.307	-34.793	+271
499	focalnet_base_lrf.ms_in1k	224	48.433	51.567	62.997	37.003	88.75	0.900	bicubic	-47.407	-36.293	-49
500	convnextv2_nano.fcmae_ft_in22k_in1k	224	48.413	51.587	64.597	35.403	15.62	1.000	bicubic	-46.717	-34.593	+165
501	vit_small_r26_s32_224.augreg_in21k_ft_in1k	224	48.407	51.593	63.930	36.070	36.43	0.900	bicubic	-46.733	-35.290	+156
502	vit_large_patch32_384.orig_in21k_ft_in1k	384	48.363	51.637	61.900	38.100	306.63	1.000	bicubic	-46.887	-37.190	+119
503	focalnet_base_srf.ms_in1k	224	48.323	51.677	63.020	36.980	88.15	0.900	bicubic	-47.567	-36.340	-73
504	swinv2_base_window8_256.ms_in1k	256	48.293	51.707	63.410	36.590	87.92	0.900	bicubic	-47.757	-35.940	-131
505	repvgg_b3g4.rvgg_in1k	224	48.253	51.747	64.823	35.177	83.83	0.875	bilinear	-46.247	-34.197	+335
506	eca_nfnet_l1.ra2_in1k	256	48.250	51.750	63.570	36.430	41.41	1.000	bicubic	-47.410	-35.670	+2
507	convit_base.fb_in1k	224	48.217	51.783	63.003	36.997	86.54	0.875	bicubic	-46.903	-36.137	+161
508	regnety_160.deit_in1k	224	48.210	51.790	63.670	36.330	83.59	1.000	bicubic	-47.270	-35.610	+42
509	fastvit_sa36.apple_in1k	256	48.200	51.800	62.753	37.247	31.53	0.900	bicubic	-47.420	-36.467	+7
510	swin_s3_base_224.ms_in1k	224	48.163	51.837	62.290	37.710	71.13	0.900	bicubic	-47.907	-37.060	-144
511	resnext101_32x8d.tv2_in1k	224	48.137	51.863	62.700	37.300	88.79	0.965	bilinear	-47.173	-36.650	+91
512	nextvit_small.bd_in1k_384	384	48.130	51.870	64.130	35.870	31.76	1.000	bicubic	-48.000	-35.250	-166
513	sequencer2d_l.in1k	224	48.107	51.893	62.357	37.643	54.30	0.875	bicubic	-47.763	-37.113	-80
514	gcvit_small.in1k	224	48.103	51.897	62.777	37.223	51.09	0.875	bicubic	-47.817	-36.493	-94
515	tf_efficientnetv2_b3.in21k_ft_in1k	300	48.050	51.950	64.827	35.173	14.36	0.900	bicubic	-47.550	-34.583	+8
516	regnetz_d8.ra3_in1k	320	48.020	51.980	64.320	35.680	23.37	1.000	bicubic	-48.000	-35.240	-126
517	focalnet_small_lrf.ms_in1k	224	48.017	51.983	63.093	36.907	50.34	0.900	bicubic	-47.713	-36.287	-30
518	convnext_tiny.fb_in1k	224	47.993	52.007	64.187	35.813	28.59	1.000	bicubic	-46.857	-34.973	+229
519	resnetrs350.tf_in1k	384	47.987	52.013	62.617	37.383	163.96	1.000	bicubic	-48.283	-36.883	-205
520	fastvit_sa24.apple_dist_in1k	256	47.980	52.020	62.843	37.157	21.55	0.900	bicubic	-47.600	-36.417	+9
521	repvit_m1_5.dist_450e_in1k	224	47.973	52.027	63.670	36.330	14.64	0.950	bicubic	-47.347	-35.590	+79
522	regnetv_064.ra3_in1k	224	47.963	52.037	63.517	36.483	30.58	1.000	bicubic	-47.427	-35.963	+60
523	twins_svt_large.in1k	224	47.917	52.083	62.790	37.210	99.27	0.900	bicubic	-47.803	-36.510	-33
524	resnetrs200.tf_in1k	256	47.897	52.103	62.093	37.907	93.21	1.000	bicubic	-47.923	-37.097	-68
525	vit_relpos_base_patch16_224.sw_in1k	224	47.893	52.107	62.847	37.153	86.43	0.900	bicubic	-47.287	-36.433	+121
526	mixer_b16_224.miil_in21k_ft_in1k	224	47.853	52.147	63.387	36.613	59.88	0.875	bilinear	-47.047	-35.693	+202
527	mobilenetv4_conv_large.e500_r256_in1k	256	47.853	52.147	62.827	37.173	32.59	1.000	bicubic	-46.637	-36.193	+314
528	tf_efficientnet_b5.aa_in1k	456	47.837	52.163	63.960	36.040	30.39	0.934	bicubic	-48.053	-35.400	-97
529	repvgg_b2g4.rvgg_in1k	224	47.783	52.217	64.420	35.580	61.76	0.875	bilinear	-46.067	-34.610	+468
530	repvit_m1_5.dist_300e_in1k	224	47.783	52.217	63.713	36.287	14.64	0.950	bicubic	-47.357	-35.607	+126
531	regnety_1280.seer_ft_in1k	384	47.763	52.237	64.130	35.870	644.81	1.000	bicubic	-48.567	-35.270	-234
532	resnetv2_50x3_bit.goog_in21k_ft_in1k	448	47.757	52.243	65.663	34.337	217.32	1.000	bilinear	-48.533	-33.977	-225
533	vit_little_patch16_reg4_gap_256.sbb_in1k	256	47.743	52.257	62.407	37.593	22.52	0.950	bicubic	-47.577	-36.883	+66
534	vit_relpos_base_patch16_clsgap_224.sw_in1k	224	47.733	52.267	62.400	37.600	86.43	0.900	bicubic	-47.527	-36.900	+84
535	resnet101d.ra2_in1k	256	47.723	52.277	62.923	37.077	44.57	1.000	bicubic	-47.767	-36.367	+14
536	tf_efficientnetv2_b3.in21k_ft_in1k	240	47.713	52.287	64.133	35.867	14.36	0.900	bicubic	-47.157	-35.117	+205
537	repvgg_d2se.rvgg_in1k	320	47.713	52.287	62.810	37.190	133.33	1.000	bilinear	-48.207	-36.650	-118
538	mvitv2_tiny.fb_in1k	224	47.703	52.297	62.697	37.303	24.17	0.900	bicubic	-47.697	-36.613	+39
539	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	384	47.657	52.343	63.247	36.753	11.07	1.000	bicubic	-47.883	-36.063	0
540	vit_relpos_medium_patch16_cls_224.sw_in1k	224	47.637	52.363	61.797	38.203	38.76	0.900	bicubic	-47.643	-37.323	+72
541	eca_nfnet_l1.ra2_in1k	320	47.617	52.383	62.643	37.357	41.41	1.000	bicubic	-48.323	-36.837	-124
542	ecaresnet101d.miil_in1k	288	47.593	52.407	63.530	36.470	44.57	0.950	bicubic	-48.037	-35.830	-29
543	seresnext101_32x8d.ah_in1k	288	47.577	52.423	61.370	38.630	93.57	1.000	bicubic	-48.553	-37.990	-196
544	regnetz_d8_evos.ch_in1k	320	47.563	52.437	63.770	36.230	23.46	1.000	bicubic	-48.657	-35.720	-214
545	pit_s_distilled_224.in1k	224	47.547	52.453	63.170	36.830	24.04	0.900	bicubic	-47.143	-35.900	+239
546	focalnet_small_srf.ms_in1k	224	47.517	52.483	62.327	37.673	49.89	0.900	bicubic	-48.113	-37.043	-32
547	resnest50d_4s2x40d.in1k	224	47.497	52.503	63.857	36.143	30.42	0.875	bicubic	-47.213	-35.253	+230
548	efficientnet_b3_pruned.in1k	300	47.460	52.540	62.857	37.143	9.86	0.904	bicubic	-47.170	-36.173	+253
549	davit_tiny.msft_in1k	224	47.430	52.570	63.257	36.743	28.36	0.950	bicubic	-47.680	-35.863	+121
550	dm_nfnet_f1.dm_in1k	320	47.430	52.570	62.127	37.873	132.63	0.910	bicubic	-48.900	-37.283	-254
551	vit_base_patch16_224.orig_in21k_ft_in1k	224	47.410	52.590	61.707	38.293	86.57	0.900	bicubic	-47.810	-37.613	+82
552	coatnet_rmlp_1_rw_224.sw_in1k	224	47.410	52.590	61.367	38.633	41.69	0.950	bicubic	-48.100	-37.893	-7
553	xcit_small_24_p8_224.fb_in1k	224	47.357	52.643	61.113	38.887	47.63	1.000	bicubic	-48.613	-38.237	-145
554	crossvit_18_dagger_408.in1k	408	47.347	52.653	60.887	39.113	44.61	1.000	bicubic	-48.793	-38.583	-211
555	mobilenetv4_conv_large.e500_r256_in1k	320	47.333	52.667	62.390	37.610	32.59	1.000	bicubic	-47.807	-36.830	+99
556	hgnetv2_b1.ssld_stage1_in22k_in1k	288	47.327	52.673	64.477	35.523	6.34	1.000	bicubic	-46.793	-34.433	+391
557	convnext_tiny_hnf.a2h_in1k	224	47.320	52.680	61.607	38.393	28.59	1.000	bicubic	-47.670	-37.433	+146
558	poolformerv2_m48.sail_in1k	224	47.297	52.703	63.887	36.113	73.35	1.000	bicubic	-47.903	-35.263	+84
559	tresnet_m.miil_in21k_ft_in1k	224	47.297	52.703	62.047	37.953	31.39	0.875	bilinear	-48.123	-37.143	+13
560	regnety_080.ra3_in1k	224	47.290	52.710	62.317	37.683	39.18	1.000	bicubic	-48.060	-36.963	+32
561	convnext_nano.in12k_ft_in1k	224	47.260	52.740	63.987	36.013	15.59	1.000	bicubic	-47.720	-35.243	+146
562	wide_resnet101_2.tv2_in1k	224	47.247	52.753	61.983	38.017	126.89	0.965	bilinear	-48.003	-37.277	+62
563	efficientformer_l3.snap_dist_in1k	224	47.240	52.760	63.457	36.543	31.41	0.950	bicubic	-47.980	-35.783	+70
564	repvit_m3.dist_in1k	224	47.203	52.797	63.497	36.503	10.68	0.950	bicubic	-47.527	-35.743	+207
565	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	224	47.183	52.817	63.400	36.600	44.18	0.875	bilinear	-47.977	-35.850	+84
566	efficientvit_b2.r256_in1k	256	47.183	52.817	61.670	38.330	24.33	1.000	bicubic	-48.107	-37.440	+45
567	tf_efficientnet_b6.aa_in1k	528	47.160	52.840	63.040	36.960	43.04	0.942	bicubic	-49.130	-36.490	-259
568	regnetz_c16.ra3_in1k	256	47.133	52.867	63.827	36.173	13.46	1.000	bicubic	-47.997	-35.273	+96
569	hgnetv2_b1.ssld_stage2_ft_in1k	224	47.127	52.873	64.390	35.610	6.34	1.000	bicubic	-46.503	-34.470	+489
570	resnetrs270.tf_in1k	352	47.127	52.873	62.060	37.940	129.86	1.000	bicubic	-48.933	-37.280	-200
571	regnety_320.tv2_in1k	224	47.087	52.913	62.073	37.927	145.05	0.965	bicubic	-48.503	-37.327	-45
572	efficientvit_b2.r288_in1k	288	47.083	52.917	61.560	38.440	24.33	1.000	bicubic	-48.527	-37.820	-51
573	xcit_small_12_p8_224.fb_in1k	224	47.080	52.920	60.660	39.340	26.21	1.000	bicubic	-48.370	-38.680	-12
574	inception_next_tiny.sail_in1k	224	47.037	52.963	62.957	37.043	28.06	0.875	bicubic	-48.083	-36.163	+93
575	tf_efficientnet_b4.aa_in1k	380	47.037	52.963	62.833	37.167	19.34	0.922	bicubic	-48.543	-36.387	-47
576	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	256	47.020	52.980	62.560	37.440	11.07	1.000	bicubic	-48.080	-36.530	+98
577	vit_base_patch16_rpn_224.sw_in1k	224	47.020	52.980	62.420	37.580	86.54	0.900	bicubic	-47.810	-36.670	+174
578	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	448	47.017	52.983	63.000	37.000	11.07	1.000	bicubic	-48.703	-36.370	-89
579	resnet152.a1h_in1k	224	47.013	52.987	60.890	39.110	60.19	1.000	bicubic	-48.407	-38.270	-10
580	swin_base_patch4_window12_384.ms_in1k	384	46.997	53.003	61.867	38.133	87.90	1.000	bicubic	-49.393	-37.553	-303
581	swinv2_small_window8_256.ms_in1k	256	46.990	53.010	62.160	37.840	49.73	0.900	bicubic	-48.780	-37.220	-108
582	convnextv2_tiny.fcmae_ft_in1k	288	46.953	53.047	62.473	37.527	28.64	1.000	bicubic	-48.867	-36.837	-125
583	rexnetr_200.sw_in12k_ft_in1k	288	46.943	53.057	63.820	36.180	16.52	1.000	bicubic	-48.397	-35.600	+10
584	resnet101d.ra2_in1k	320	46.930	53.070	62.447	37.553	44.57	1.000	bicubic	-48.820	-36.983	-108
585	regnety_032.ra_in1k	224	46.930	53.070	62.270	37.730	19.44	1.000	bicubic	-48.000	-36.870	+135
586	coat_small.in1k	224	46.930	53.070	61.367	38.633	21.69	0.900	bicubic	-48.280	-37.863	+55
587	xception65p.ra3_in1k	299	46.890	53.110	61.070	38.930	39.82	0.940	bicubic	-48.780	-38.330	-84
588	xcit_large_24_p16_224.fb_in1k	224	46.890	53.110	60.760	39.240	189.10	1.000	bicubic	-48.060	-38.440	+128
589	nextvit_small.bd_in1k	224	46.847	53.153	62.803	37.197	31.76	0.950	bicubic	-48.383	-36.417	+40
590	maxvit_tiny_rw_224.sw_in1k	224	46.847	53.153	60.767	39.233	29.06	0.950	bicubic	-48.883	-38.523	-101
591	pvt_v2_b2_li.in1k	224	46.803	53.197	62.390	37.610	22.55	0.900	bicubic	-48.437	-36.640	+35
592	gc_efficientnetv2_rw_t.agc_in1k	224	46.787	53.213	61.320	38.680	13.68	1.000	bicubic	-47.753	-37.740	+238
593	resnet152.tv2_in1k	224	46.777	53.223	61.003	38.997	60.19	0.965	bilinear	-48.303	-38.067	+89
594	efficientformerv2_s2.snap_dist_in1k	224	46.767	53.233	61.837	38.163	12.71	0.950	bicubic	-48.343	-37.293	+78
595	seresnext101_64x4d.gluon_in1k	224	46.677	53.323	61.363	38.637	88.23	0.875	bicubic	-47.983	-37.747	+202
596	fastvit_sa24.apple_in1k	256	46.657	53.343	61.637	38.363	21.55	0.900	bicubic	-48.653	-37.673	+7
597	regnety_640.seer_ft_in1k	384	46.607	53.393	63.093	36.907	281.38	1.000	bicubic	-49.423	-36.377	-215
598	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	224	46.577	53.423	63.923	36.077	28.29	0.900	bicubic	-48.263	-35.307	+151
599	fbnetv3_g.ra2_in1k	240	46.577	53.423	62.607	37.393	16.62	0.950	bilinear	-48.023	-36.493	+210
600	twins_pcpvt_large.in1k	224	46.543	53.457	62.193	37.807	60.99	0.900	bicubic	-49.207	-37.247	-123
601	convnext_tiny.fb_in1k	288	46.530	53.470	63.247	36.753	28.59	1.000	bicubic	-48.680	-36.013	+37
602	regnetv_064.ra3_in1k	288	46.520	53.480	62.297	37.703	30.58	1.000	bicubic	-49.280	-37.123	-142
603	resnet152.a1h_in1k	288	46.520	53.480	60.517	39.483	60.19	1.000	bicubic	-49.260	-38.783	-136
604	swin_base_patch4_window7_224.ms_in1k	224	46.507	53.493	61.470	38.530	87.77	0.900	bicubic	-49.393	-37.870	-176
605	nfnet_l0.ra2_in1k	224	46.503	53.497	63.047	36.953	35.07	1.000	bicubic	-48.477	-36.183	+100
606	convnextv2_nano.fcmae_ft_in22k_in1k	288	46.473	53.527	62.870	37.130	15.62	1.000	bicubic	-48.917	-36.470	-23
607	efficientnetv2_rw_t.ra2_in1k	224	46.437	53.563	61.437	38.563	13.65	1.000	bicubic	-48.223	-37.543	+189
608	xcit_medium_24_p8_224.fb_in1k	224	46.423	53.577	59.593	40.407	84.32	1.000	bicubic	-49.447	-39.637	-171
609	coatnet_1_rw_224.sw_in1k	224	46.417	53.583	60.103	39.897	41.72	0.950	bicubic	-49.203	-39.217	-92
610	gcvit_tiny.in1k	224	46.407	53.593	61.660	38.340	28.22	0.875	bicubic	-49.293	-37.630	-117
611	fbnetv3_g.ra2_in1k	288	46.397	53.603	62.460	37.540	16.62	0.950	bilinear	-48.733	-36.740	+51
612	cs3se_edgenet_x.c2ns_in1k	256	46.397	53.603	61.440	38.560	50.72	1.000	bicubic	-49.103	-37.800	-65
613	resnet51q.ra2_in1k	256	46.393	53.607	61.360	38.640	35.70	1.000	bilinear	-48.547	-37.840	+104
614	swin_s3_small_224.ms_in1k	224	46.383	53.617	60.840	39.160	49.74	0.900	bicubic	-49.467	-38.350	-169
615	crossvit_15_dagger_408.in1k	408	46.383	53.617	60.533	39.467	28.50	1.000	bicubic	-49.457	-38.787	-168
616	resnetrs200.tf_in1k	320	46.373	53.627	60.960	39.040	93.21	1.000	bicubic	-49.937	-38.530	-316
617	tresnet_xl.miil_in1k	224	46.303	53.697	61.883	38.117	78.44	0.875	bilinear	-48.777	-37.297	+64
618	sequencer2d_m.in1k	224	46.297	53.703	60.920	39.080	38.31	0.875	bicubic	-49.283	-38.390	-88
619	xcit_tiny_24_p8_224.fb_dist_in1k	224	46.280	53.720	60.613	39.387	12.11	1.000	bicubic	-49.200	-38.657	-68
620	xcit_tiny_24_p8_384.fb_dist_in1k	384	46.247	53.753	60.640	39.360	12.11	1.000	bicubic	-50.003	-38.640	-299
621	rexnet_300.nav_in1k	224	46.243	53.757	62.443	37.557	34.71	0.875	bicubic	-49.297	-36.997	-81
622	resnetrs152.tf_in1k	256	46.213	53.787	60.767	39.233	86.62	1.000	bicubic	-49.167	-38.423	-37
623	dm_nfnet_f0.dm_in1k	192	46.210	53.790	61.467	38.533	71.49	0.900	bicubic	-48.480	-37.633	+163
624	resnest50d_1s4x24d.in1k	224	46.203	53.797	62.513	37.487	25.68	0.875	bicubic	-48.177	-36.547	+247
625	repvit_m1_1.dist_450e_in1k	224	46.187	53.813	63.347	36.653	8.80	0.950	bicubic	-48.363	-35.633	+203
626	gernet_m.idstcv_in1k	224	46.167	53.833	62.687	37.313	21.14	0.875	bilinear	-48.393	-36.483	+201
627	deit_small_distilled_patch16_224.fb_in1k	224	46.153	53.847	62.453	37.547	22.44	0.900	bicubic	-48.437	-36.637	+184
628	hgnetv2_b0.ssld_stage1_in22k_in1k	224	46.137	53.863	63.470	36.530	6.00	1.000	bicubic	-46.483	-34.940	+595
629	regnety_160.deit_in1k	288	46.127	53.873	61.787	38.213	83.59	1.000	bicubic	-49.773	-37.513	-204
630	crossvit_base_240.in1k	240	46.087	53.913	60.227	39.773	105.03	0.875	bicubic	-48.943	-38.923	+63
631	tf_efficientnet_b0.ns_jft_in1k	224	46.067	53.933	63.280	36.720	5.29	0.875	bicubic	-47.713	-35.260	+384
632	convnextv2_nano.fcmae_ft_in1k	224	46.057	53.943	62.030	37.970	15.62	1.000	bicubic	-48.663	-37.140	+142
633	resnext101_64x4d.c1_in1k	224	46.053	53.947	59.503	40.497	83.46	1.000	bicubic	-49.207	-39.697	-14
634	poolformerv2_m36.sail_in1k	224	46.050	53.950	62.200	37.800	56.08	1.000	bicubic	-48.990	-36.950	+56
635	mobilenetv4_hybrid_medium.e500_r224_in1k	224	46.050	53.950	61.737	38.263	11.07	1.000	bicubic	-48.230	-37.163	+270
636	poolformerv2_s36.sail_in1k	224	46.030	53.970	62.300	37.700	30.79	1.000	bicubic	-48.700	-36.770	+134
637	vit_small_patch16_224.augreg_in21k_ft_in1k	224	46.027	53.973	61.850	38.150	22.05	0.900	bicubic	-48.883	-37.430	+86
638	resnet51q.ra2_in1k	288	46.027	53.973	60.923	39.077	35.70	1.000	bilinear	-49.183	-38.367	+3
639	swinv2_cr_small_ns_224.sw_in1k	224	46.027	53.973	60.603	39.397	49.70	0.900	bicubic	-49.693	-38.837	-148
640	crossvit_18_240.in1k	240	45.967	54.033	60.370	39.630	43.27	0.875	bicubic	-49.093	-38.740	+49
641	nest_base_jx.goog_in1k	224	45.967	54.033	60.100	39.900	67.72	0.875	bicubic	-49.563	-39.240	-100
642	deit3_small_patch16_224.fb_in1k	224	45.967	54.033	58.960	41.040	22.06	0.900	bicubic	-48.733	-40.110	+142
643	vit_relpos_medium_patch16_224.sw_in1k	224	45.943	54.057	61.093	38.907	38.75	0.900	bicubic	-49.257	-38.137	-1
644	regnety_080.ra3_in1k	288	45.933	54.067	60.840	39.160	39.18	1.000	bicubic	-49.927	-38.530	-206
645	regnetz_c16.ra3_in1k	320	45.930	54.070	62.750	37.250	13.46	1.000	bicubic	-49.460	-36.590	-65
646	hgnetv2_b0.ssld_stage2_ft_in1k	224	45.923	54.077	63.313	36.687	6.00	1.000	bicubic	-46.827	-35.427	+563
647	mobilenetv4_hybrid_medium.e500_r224_in1k	256	45.907	54.093	61.577	38.423	11.07	1.000	bicubic	-48.953	-37.623	+95
648	twins_pcpvt_base.in1k	224	45.903	54.097	61.387	38.613	43.83	0.900	bicubic	-49.567	-37.963	-93
649	resnest50d.in1k	224	45.890	54.110	62.677	37.323	27.48	0.875	bilinear	-48.740	-36.463	+153
650	twins_svt_base.in1k	224	45.880	54.120	60.913	39.087	56.07	0.900	bicubic	-49.690	-38.377	-115
651	regnety_032.ra_in1k	288	45.873	54.127	61.527	38.473	19.44	1.000	bicubic	-49.597	-37.803	-94
652	regnetz_c16_evos.ch_in1k	256	45.867	54.133	62.960	37.040	13.49	0.950	bicubic	-49.493	-36.340	-61
653	convnext_nano.in12k_ft_in1k	288	45.867	54.133	62.610	37.390	15.59	1.000	bicubic	-49.523	-36.720	-75
654	crossvit_18_dagger_240.in1k	240	45.850	54.150	59.920	40.080	44.27	0.875	bicubic	-49.340	-39.400	-9
655	convnext_tiny_hnf.a2h_in1k	288	45.840	54.160	60.143	39.857	28.59	1.000	bicubic	-49.430	-39.147	-40
656	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	320	45.823	54.177	61.583	38.417	11.07	1.000	bicubic	-49.487	-37.847	-55
657	levit_384.fb_dist_in1k	224	45.780	54.220	61.720	38.280	39.13	0.900	bicubic	-49.440	-37.450	-21
658	levit_conv_384.fb_dist_in1k	224	45.777	54.223	61.717	38.283	39.13	0.900	bicubic	-49.443	-37.463	-21
659	hiera_tiny_224.mae_in1k_ft_in1k	224	45.760	54.240	61.060	38.940	27.91	0.900	bicubic	-49.490	-38.340	-34
660	gc_efficientnetv2_rw_t.agc_in1k	288	45.733	54.267	60.303	39.697	13.68	1.000	bicubic	-49.567	-38.897	-51
661	vit_relpos_medium_patch16_rpn_224.sw_in1k	224	45.723	54.277	60.950	39.050	38.73	0.900	bicubic	-49.367	-38.370	+19
662	crossvit_15_dagger_240.in1k	240	45.703	54.297	60.087	39.913	28.21	0.875	bicubic	-49.277	-38.913	+47
663	xcit_tiny_24_p16_384.fb_dist_in1k	384	45.697	54.303	60.527	39.473	12.12	1.000	bicubic	-49.773	-38.853	-107
664	hgnetv2_b1.ssld_stage2_ft_in1k	288	45.693	54.307	62.693	37.307	6.34	1.000	bicubic	-48.497	-36.347	+266
665	vit_srelpos_medium_patch16_224.sw_in1k	224	45.693	54.307	61.053	38.947	38.74	0.900	bicubic	-49.257	-37.777	+50
666	convmixer_1536_20.in1k	224	45.673	54.327	61.730	38.270	51.63	0.960	bicubic	-49.297	-37.440	+46
667	dm_nfnet_f0.dm_in1k	256	45.670	54.330	61.330	38.670	71.49	0.900	bicubic	-50.010	-37.980	-168
668	regnetx_320.tv2_in1k	224	45.640	54.360	60.217	39.783	107.81	0.965	bicubic	-49.680	-39.073	-70
669	efficientnetv2_rw_t.ra2_in1k	288	45.620	54.380	60.170	39.830	13.65	1.000	bicubic	-49.470	-39.040	+10
670	flexivit_small.1200ep_in1k	240	45.603	54.397	59.907	40.093	22.06	0.950	bicubic	-49.617	-39.263	-35
671	xcit_small_12_p16_224.fb_in1k	224	45.597	54.403	59.453	40.547	26.25	1.000	bicubic	-49.273	-39.567	+69
672	xcit_medium_24_p16_224.fb_in1k	224	45.590	54.410	59.000	41.000	84.40	1.000	bicubic	-49.550	-40.070	-12
673	xcit_small_24_p16_224.fb_in1k	224	45.577	54.423	58.967	41.033	47.67	1.000	bicubic	-49.503	-40.283	+10
674	repvit_m1_1.dist_300e_in1k	224	45.550	54.450	62.743	37.257	8.80	0.950	bicubic	-48.640	-36.367	+256
675	seresnext101_32x4d.gluon_in1k	224	45.547	54.453	61.107	38.893	48.96	0.875	bicubic	-48.953	-37.983	+164
676	tf_efficientnet_b7.aa_in1k	600	45.490	54.510	61.783	38.217	66.35	0.949	bicubic	-50.580	-37.667	-311
677	resnet101.a1h_in1k	224	45.477	54.523	59.807	40.193	44.55	1.000	bicubic	-49.453	-39.253	+44
678	resnet152d.gluon_in1k	224	45.460	54.540	60.070	39.930	60.21	0.875	bicubic	-48.990	-38.840	+176
679	cs3se_edgenet_x.c2ns_in1k	320	45.447	54.553	60.433	39.567	50.72	1.000	bicubic	-50.573	-39.167	-287
680	flexivit_small.600ep_in1k	240	45.417	54.583	59.617	40.383	22.06	0.950	bicubic	-49.883	-39.803	-70
681	wide_resnet101_2.tv2_in1k	176	45.393	54.607	59.683	40.317	126.89	0.965	bilinear	-48.547	-39.207	+304
682	mobilenetv4_conv_blur_medium.e500_r224_in1k	256	45.387	54.613	61.710	38.290	9.72	1.000	bicubic	-48.743	-37.290	+260
683	pvt_v2_b2.in1k	224	45.387	54.613	60.697	39.303	25.36	0.900	bicubic	-49.623	-38.503	+16
684	tf_efficientnetv2_s.in1k	300	45.387	54.613	60.237	39.763	21.46	1.000	bicubic	-50.013	-38.923	-108
685	resnext101_64x4d.c1_in1k	288	45.383	54.617	59.047	40.953	83.46	1.000	bicubic	-50.187	-40.223	-152
686	nfnet_l0.ra2_in1k	288	45.377	54.623	62.090	37.910	35.07	1.000	bicubic	-50.053	-37.090	-122
687	regnety_320.seer_ft_in1k	384	45.370	54.630	62.257	37.743	145.05	1.000	bicubic	-50.430	-37.083	-226
688	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	224	45.370	54.630	61.997	38.003	25.03	0.875	bilinear	-49.340	-37.183	+87
689	resnetv2_50x1_bit.goog_distilled_in1k	224	45.363	54.637	62.267	37.733	25.55	0.875	bicubic	-50.027	-37.153	-110
690	ecaresnetlight.miil_in1k	224	45.360	54.640	61.200	38.800	30.16	0.950	bicubic	-48.690	-37.730	+272
691	cs3edgenet_x.c2_in1k	288	45.300	54.700	60.243	39.757	47.82	1.000	bicubic	-50.180	-39.157	-139
692	resnet101.tv2_in1k	224	45.300	54.700	60.043	39.957	44.55	0.965	bilinear	-49.590	-39.087	+42
693	cs3edgenet_x.c2_in1k	256	45.293	54.707	60.173	39.827	47.82	1.000	bicubic	-50.017	-39.077	-89
694	nest_small_jx.goog_in1k	224	45.293	54.707	59.003	40.997	38.35	0.875	bicubic	-50.287	-40.317	-162
695	resnet61q.ra2_in1k	288	45.273	54.727	59.333	40.667	36.85	1.000	bicubic	-49.867	-39.587	-37
696	convit_small.fb_in1k	224	45.253	54.747	60.480	39.520	27.78	0.875	bicubic	-49.657	-38.640	+28
697	efficientvit_b2.r224_in1k	224	45.253	54.747	59.187	40.813	24.33	0.950	bicubic	-49.637	-39.813	+39
698	nasnetalarge.tf_in1k	331	45.223	54.777	57.987	42.013	88.75	0.911	bicubic	-49.947	-41.183	-50
699	resnet61q.ra2_in1k	256	45.180	54.820	59.350	40.650	36.85	1.000	bicubic	-49.800	-39.880	+11
700	tresnet_xl.miil_in1k_448	448	45.177	54.823	61.437	38.563	78.44	0.875	bilinear	-50.373	-37.763	-163
701	focalnet_tiny_lrf.ms_in1k	224	45.163	54.837	61.253	38.747	28.65	0.900	bicubic	-50.067	-37.957	-72
702	rexnet_200.nav_in1k	224	45.143	54.857	62.303	37.697	16.37	0.875	bicubic	-49.527	-36.787	+93
703	mobilenetv4_conv_medium.e500_r256_in1k	256	45.133	54.867	61.850	38.150	9.72	1.000	bicubic	-48.827	-37.100	+278
704	hgnetv2_b0.ssld_stage1_in22k_in1k	288	45.120	54.880	62.307	37.693	6.00	1.000	bicubic	-48.470	-36.473	+364
705	mobilenetv4_conv_blur_medium.e500_r224_in1k	224	45.117	54.883	61.630	38.370	9.72	1.000	bicubic	-48.603	-37.460	+328
706	swin_small_patch4_window7_224.ms_in1k	224	45.113	54.887	60.280	39.720	49.61	0.900	bicubic	-50.617	-39.180	-221
707	sequencer2d_s.in1k	224	45.113	54.887	60.067	39.933	27.65	0.875	bicubic	-50.347	-39.193	-147
708	regnetv_040.ra3_in1k	224	45.100	54.900	60.047	39.953	20.64	1.000	bicubic	-50.330	-39.033	-143
709	mobilenetv4_conv_medium.e500_r224_in1k	256	45.090	54.910	61.497	38.503	9.72	1.000	bicubic	-48.990	-37.483	+244
710	tf_efficientnet_b3.aa_in1k	300	45.087	54.913	60.690	39.310	12.23	0.904	bicubic	-49.833	-38.400	+13
711	mobilenetv4_conv_medium.e500_r256_in1k	320	45.070	54.930	61.483	38.517	9.72	1.000	bicubic	-49.270	-37.707	+175
712	mobilenetv4_conv_medium.e500_r224_in1k	224	45.040	54.960	61.373	38.627	9.72	1.000	bicubic	-48.340	-37.387	+411
713	maxxvit_rmlp_nano_rw_256.sw_in1k	256	44.993	55.007	59.603	40.397	16.78	0.950	bicubic	-50.367	-39.727	-123
714	resnetrs152.tf_in1k	320	44.983	55.017	59.653	40.347	86.62	1.000	bicubic	-50.977	-39.837	-302
715	resnet101.a1h_in1k	288	44.957	55.043	59.337	40.663	44.55	1.000	bicubic	-50.623	-39.933	-184
716	hgnetv2_b0.ssld_stage2_ft_in1k	288	44.933	55.067	62.367	37.633	6.00	1.000	bicubic	-48.917	-36.543	+281
717	edgenext_small.usi_in1k	256	44.933	55.067	61.070	38.930	5.59	1.000	bicubic	-49.447	-37.960	+150
718	resnetv2_101.a1h_in1k	224	44.930	55.070	59.067	40.933	44.54	1.000	bicubic	-49.960	-39.933	+14
719	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	256	44.923	55.077	60.660	39.340	11.07	1.000	bicubic	-49.657	-38.450	+97
720	wide_resnet50_2.racm_in1k	224	44.910	55.090	60.100	39.900	68.88	0.950	bicubic	-49.730	-38.950	+78
721	deit_base_patch16_224.fb_in1k	224	44.907	55.093	59.190	40.810	86.57	0.900	bicubic	-50.123	-39.780	-27
722	flexivit_small.300ep_in1k	240	44.900	55.100	59.487	40.513	22.06	0.950	bicubic	-50.250	-39.663	-69
723	coatnet_bn_0_rw_224.sw_in1k	224	44.810	55.190	60.933	39.067	27.44	0.950	bicubic	-50.170	-38.367	-17
724	tf_efficientnet_b2.ap_in1k	260	44.803	55.197	60.773	39.227	9.11	0.890	bicubic	-49.467	-38.347	+182
725	resmlp_24_224.fb_distilled_in1k	224	44.797	55.203	61.507	38.493	30.02	0.875	bicubic	-49.553	-37.403	+156
726	focalnet_tiny_srf.ms_in1k	224	44.787	55.213	60.993	39.007	28.43	0.900	bicubic	-50.233	-38.057	-31
727	repvit_m2.dist_in1k	224	44.777	55.223	61.873	38.127	8.80	0.950	bicubic	-49.683	-37.277	+123
728	cait_xxs36_384.fb_dist_in1k	384	44.767	55.233	59.427	40.573	17.37	1.000	bicubic	-50.533	-39.873	-120
729	tiny_vit_11m_224.in1k	224	44.747	55.253	60.180	39.820	11.00	0.950	bicubic	-50.483	-39.230	-97
730	resmlp_36_224.fb_distilled_in1k	224	44.730	55.270	61.157	38.843	44.69	0.875	bicubic	-49.840	-38.023	+90
731	gernet_l.idstcv_in1k	256	44.703	55.297	58.987	41.013	31.08	0.875	bilinear	-50.237	-40.153	-15
732	xcit_tiny_24_p16_224.fb_dist_in1k	224	44.697	55.303	59.433	40.567	12.12	1.000	bicubic	-49.553	-39.407	+184
733	regnety_032.tv2_in1k	224	44.680	55.320	60.947	39.053	19.44	0.965	bicubic	-50.210	-38.103	-4
734	deit_base_patch16_384.fb_in1k	384	44.667	55.333	59.570	40.430	86.86	1.000	bicubic	-50.993	-39.850	-224
735	ecaresnet50d.miil_in1k	224	44.623	55.377	60.817	39.183	25.58	0.950	bicubic	-49.577	-38.203	+193
736	wide_resnet50_2.tv2_in1k	176	44.620	55.380	59.967	40.033	68.88	0.965	bilinear	-49.710	-39.063	+153
737	ecaresnetlight.miil_in1k	288	44.603	55.397	60.430	39.570	30.16	0.950	bicubic	-49.967	-38.720	+81
738	ecaresnet50t.ra2_in1k	256	44.573	55.427	60.433	39.567	25.57	0.950	bicubic	-50.137	-38.487	+38
739	eca_nfnet_l0.ra2_in1k	224	44.570	55.430	61.177	38.823	24.14	1.000	bicubic	-50.410	-38.123	-31
740	vit_relpos_small_patch16_224.sw_in1k	224	44.540	55.460	60.223	39.777	21.98	0.900	bicubic	-50.140	-38.877	+51
741	regnety_064.ra3_in1k	224	44.523	55.477	58.473	41.527	30.58	1.000	bicubic	-50.977	-40.897	-194
742	swinv2_tiny_window16_256.ms_in1k	256	44.503	55.497	59.467	40.533	28.35	0.900	bicubic	-50.867	-39.833	-153
743	resnetv2_101.a1h_in1k	288	44.497	55.503	58.627	41.373	44.54	1.000	bicubic	-51.133	-40.673	-231
744	gmlp_s16_224.ra3_in1k	224	44.490	55.510	58.617	41.383	19.42	0.875	bicubic	-49.040	-40.153	+339
745	inception_resnet_v2.tf_ens_adv_in1k	299	44.487	55.513	58.170	41.830	55.84	0.897	bicubic	-49.643	-40.610	+201
746	tiny_vit_5m_224.dist_in22k_ft_in1k	224	44.470	55.530	60.910	39.090	5.39	0.950	bicubic	-50.160	-38.140	+53
747	resnetrs101.tf_in1k	192	44.440	55.560	59.397	40.603	63.62	0.940	bicubic	-49.960	-39.663	+118
748	ecaresnet101d_pruned.miil_in1k	224	44.433	55.567	60.057	39.943	24.88	0.950	bicubic	-50.097	-39.073	+84
749	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	320	44.430	55.570	60.273	39.727	11.07	1.000	bicubic	-50.800	-38.947	-121
750	repvit_m1_0.dist_300e_in1k	224	44.417	55.583	61.430	38.570	7.30	0.950	bicubic	-49.353	-37.490	+270
751	regnety_160.tv2_in1k	224	44.387	55.613	59.147	40.853	83.59	0.965	bicubic	-50.773	-40.103	-100
752	repvit_m1_0.dist_450e_in1k	224	44.360	55.640	61.450	38.550	7.30	0.950	bicubic	-49.920	-37.540	+150
753	tresnet_l.miil_in1k	224	44.353	55.647	59.950	40.050	55.99	0.875	bilinear	-50.507	-39.080	-8
754	maxxvitv2_nano_rw_256.sw_in1k	256	44.337	55.663	58.723	41.277	23.70	0.950	bicubic	-51.103	-40.667	-191
755	resnext101_32x4d.gluon_in1k	224	44.330	55.670	59.110	40.890	44.18	0.875	bicubic	-49.790	-39.920	+194
756	gcvit_xtiny.in1k	224	44.250	55.750	60.027	39.973	19.98	0.875	bicubic	-50.820	-39.163	-72
757	convnextv2_pico.fcmae_ft_in1k	224	44.240	55.760	60.547	39.453	9.07	0.950	bicubic	-49.720	-38.363	+221
758	poolformer_m48.sail_in1k	224	44.190	55.810	59.153	40.847	73.47	0.950	bicubic	-50.920	-40.067	-85
759	regnety_080_tv.tv2_in1k	224	44.157	55.843	58.830	41.170	39.38	0.965	bicubic	-51.153	-40.390	-153
760	vit_srelpos_small_patch16_224.sw_in1k	224	44.133	55.867	59.680	40.320	21.97	0.900	bicubic	-50.447	-39.460	+55
761	crossvit_15_240.in1k	240	44.127	55.873	59.153	40.847	27.53	0.875	bicubic	-50.553	-39.977	+31
762	regnetz_c16_evos.ch_in1k	320	44.120	55.880	61.013	38.987	13.49	0.950	bicubic	-51.540	-38.387	-255
763	resnet152s.gluon_in1k	224	44.117	55.883	58.760	41.240	60.32	0.875	bicubic	-50.633	-40.190	+1
764	fastvit_sa12.apple_dist_in1k	256	44.113	55.887	59.067	40.933	11.58	0.900	bicubic	-50.587	-39.673	+18
765	resnetv2_101x1_bit.goog_in21k_ft_in1k	448	44.097	55.903	62.033	37.967	44.54	1.000	bilinear	-51.233	-37.117	-169
766	maxvit_rmlp_nano_rw_256.sw_in1k	256	44.093	55.907	58.160	41.840	15.50	0.950	bicubic	-51.337	-41.270	-200
767	pit_b_224.in1k	224	44.083	55.917	58.007	41.993	73.76	0.900	bicubic	-50.727	-40.813	-12
768	seresnext50_32x4d.racm_in1k	224	44.080	55.920	59.927	40.073	27.56	0.950	bicubic	-50.630	-39.313	+11
769	convnextv2_nano.fcmae_ft_in1k	288	44.073	55.927	60.190	39.810	15.62	1.000	bicubic	-51.087	-39.140	-119
770	inception_resnet_v2.tf_in1k	299	44.070	55.930	57.923	42.077	55.84	0.897	bicubic	-50.290	-40.867	+109
771	hgnet_small.paddle_in1k	224	44.067	55.933	60.703	39.297	24.36	1.000	bicubic	-50.653	-38.377	+1
772	resnet152.tv2_in1k	176	44.000	56.000	57.470	42.530	60.19	0.965	bilinear	-49.650	-41.430	+278
773	pnasnet5large.tf_in1k	331	43.987	56.013	56.770	43.230	86.06	0.911	bicubic	-51.393	-42.360	-185
774	cs3sedarknet_x.c2ns_in1k	256	43.943	56.057	59.193	40.807	35.40	1.000	bicubic	-51.187	-39.977	-112
775	poolformer_m36.sail_in1k	224	43.940	56.060	59.093	40.907	56.17	0.950	bicubic	-51.120	-40.067	-85
776	vit_wee_patch16_reg1_gap_256.sbb_in1k	256	43.913	56.087	59.373	40.627	13.42	0.950	bicubic	-50.547	-39.717	+71
777	resnet50.fb_ssl_yfcc100m_ft_in1k	224	43.903	56.097	61.923	38.077	25.56	0.875	bilinear	-50.427	-37.217	+111
778	pit_s_224.in1k	224	43.893	56.107	58.660	41.340	23.46	0.900	bicubic	-50.717	-40.390	+28
779	resnext101_64x4d.gluon_in1k	224	43.890	56.110	58.713	41.287	83.46	0.875	bicubic	-50.460	-40.247	+105
780	tf_efficientnetv2_s.in1k	384	43.873	56.127	58.727	41.273	21.46	1.000	bicubic	-51.887	-40.613	-305
781	coatnext_nano_rw_224.sw_in1k	224	43.847	56.153	58.583	41.417	14.70	0.900	bicubic	-51.013	-40.627	-38
782	resnetaa50d.sw_in12k_ft_in1k	224	43.843	56.157	59.780	40.220	25.58	1.000	bicubic	-50.977	-39.490	-30
783	vit_pwee_patch16_reg1_gap_256.sbb_in1k	256	43.833	56.167	58.823	41.177	15.25	0.950	bicubic	-50.547	-40.237	+87
784	wide_resnet50_2.tv2_in1k	224	43.813	56.187	59.637	40.363	68.88	0.965	bilinear	-51.007	-39.693	-31
785	cait_xxs36_224.fb_dist_in1k	224	43.803	56.197	58.790	41.210	17.30	1.000	bicubic	-50.137	-39.910	+199
786	coat_lite_small.in1k	224	43.803	56.197	57.020	42.980	19.84	0.900	bicubic	-51.297	-42.220	-109
787	regnety_040.ra3_in1k	224	43.780	56.220	58.007	41.993	20.65	1.000	bicubic	-51.220	-41.143	-87
788	tnt_s_patch16_224	224	43.773	56.227	59.213	40.787	23.76	0.900	bicubic	-50.797	-39.437	+31
789	regnetv_040.ra3_in1k	288	43.753	56.247	58.523	41.477	20.64	1.000	bicubic	-51.977	-40.647	-304
790	pit_xs_distilled_224.in1k	224	43.747	56.253	60.630	39.370	11.00	0.900	bicubic	-49.563	-38.150	+341
791	convnext_nano.d1h_in1k	224	43.730	56.270	58.690	41.310	15.59	1.000	bicubic	-50.590	-40.350	+99
792	mobilevitv2_200.cvnets_in22k_ft_in1k	256	43.720	56.280	59.470	40.530	18.45	0.888	bicubic	-51.380	-39.580	-116
793	cspresnext50.ra_in1k	256	43.713	56.287	60.243	39.757	20.57	0.887	bilinear	-50.537	-38.697	+121
794	edgenext_small.usi_in1k	320	43.690	56.310	59.933	40.067	5.59	1.000	bicubic	-51.160	-39.347	-48
795	tf_efficientnet_b5.in1k	456	43.653	56.347	60.187	39.813	30.39	0.934	bicubic	-52.197	-39.223	-351
796	swinv2_cr_small_224.sw_in1k	224	43.650	56.350	57.513	42.487	49.70	0.900	bicubic	-51.770	-41.767	-224
797	gcresnet50t.ra2_in1k	256	43.630	56.370	59.477	40.523	25.90	1.000	bicubic	-50.950	-39.413	+20
798	rexnet_150.nav_in1k	224	43.617	56.383	60.850	39.150	9.73	0.875	bicubic	-50.673	-38.240	+103
799	swin_s3_tiny_224.ms_in1k	224	43.587	56.413	59.353	40.647	28.33	0.900	bicubic	-51.373	-39.807	-86
800	resnet101.tv2_in1k	176	43.583	56.417	57.813	42.187	44.55	0.965	bilinear	-50.067	-40.787	+249
801	xcit_tiny_12_p8_224.fb_dist_in1k	224	43.553	56.447	58.437	41.563	6.71	1.000	bicubic	-51.167	-40.743	-28
802	efficientformer_l1.snap_dist_in1k	224	43.533	56.467	59.930	40.070	12.29	0.950	bicubic	-50.457	-39.010	+172
803	crossvit_small_240.in1k	240	43.533	56.467	58.980	41.020	26.86	0.875	bicubic	-51.057	-40.140	+8
804	maxvit_nano_rw_256.sw_in1k	256	43.523	56.477	57.500	42.500	15.45	0.950	bicubic	-51.957	-41.810	-250
805	tf_efficientnet_b4.in1k	380	43.487	56.513	59.590	40.410	19.34	0.922	bicubic	-51.993	-39.540	-252
806	wide_resnet50_2.racm_in1k	288	43.483	56.517	59.033	40.967	68.88	0.950	bicubic	-51.647	-40.227	-145
807	cs3sedarknet_x.c2ns_in1k	288	43.483	56.517	58.797	41.203	35.40	1.000	bicubic	-51.937	-40.503	-240
808	regnety_016.tv2_in1k	224	43.477	56.523	59.603	40.397	11.20	0.965	bicubic	-50.963	-39.417	+51
809	resnet101d.gluon_in1k	224	43.443	56.557	58.643	41.357	44.57	0.875	bicubic	-50.737	-40.327	+124
810	efficientvit_b1.r288_in1k	288	43.437	56.563	57.847	42.153	9.10	1.000	bicubic	-50.773	-41.213	+115
811	resnet101s.gluon_in1k	224	43.417	56.583	58.703	41.297	44.67	0.875	bicubic	-50.783	-40.337	+118
812	ecaresnet50t.ra2_in1k	320	43.407	56.593	59.307	40.693	25.57	0.950	bicubic	-51.703	-39.803	-143
813	resnet152.a1_in1k	224	43.400	56.600	56.463	43.537	60.19	1.000	bicubic	-51.190	-42.577	+1
814	mobilenet_edgetpu_v2_m	224	43.387	56.613	58.587	41.413	8.46	0.950	bicubic	-50.663	-40.433	+150
815	nf_resnet50.ra2_in1k	256	43.353	56.647	60.570	39.430	25.56	0.940	bicubic	-50.787	-38.380	+127
816	coatnet_rmlp_nano_rw_224.sw_in1k	224	43.347	56.653	58.647	41.353	15.15	0.900	bicubic	-51.713	-40.593	-128
817	cspdarknet53.ra_in1k	256	43.320	56.680	59.480	40.520	27.64	0.887	bilinear	-50.840	-39.510	+121
818	eca_nfnet_l0.ra2_in1k	288	43.303	56.697	59.903	40.097	24.14	1.000	bicubic	-52.137	-39.307	-256
819	convmixer_768_32.in1k	224	43.260	56.740	59.363	40.637	21.11	0.960	bicubic	-51.150	-39.747	+44
820	ecaresnet101d_pruned.miil_in1k	288	43.240	56.760	58.983	41.017	24.88	0.950	bicubic	-51.820	-40.197	-134
821	xcit_tiny_24_p8_224.fb_in1k	224	43.233	56.767	57.297	42.703	12.11	1.000	bicubic	-51.647	-41.893	-83
822	xcit_tiny_12_p8_384.fb_dist_in1k	384	43.227	56.773	58.140	41.860	6.71	1.000	bicubic	-52.223	-41.050	-262
823	poolformerv2_s24.sail_in1k	224	43.217	56.783	60.457	39.543	21.34	1.000	bicubic	-51.233	-38.553	+29
824	resnet50d.ra2_in1k	224	43.217	56.783	59.240	40.760	25.58	0.950	bicubic	-50.833	-39.670	+140
825	visformer_small.in1k	224	43.210	56.790	57.980	42.020	40.22	0.900	bicubic	-51.760	-41.230	-114
826	repvit_m0_9.dist_300e_in1k	224	43.207	56.793	60.447	39.553	5.49	0.950	bicubic	-50.243	-38.383	+277
827	fbnetv3_d.ra2_in1k	224	43.180	56.820	59.540	40.460	10.31	0.950	bilinear	-50.050	-39.000	+313
828	vit_small_patch32_384.augreg_in21k_ft_in1k	384	43.167	56.833	59.323	40.677	22.92	1.000	bicubic	-51.403	-39.867	-6
829	tf_efficientnetv2_b3.in1k	240	43.167	56.833	58.913	41.087	14.36	0.904	bicubic	-51.073	-40.027	+91
830	regnetx_160.tv2_in1k	224	43.157	56.843	57.463	42.537	54.28	0.965	bicubic	-52.093	-41.787	-208
831	cspresnet50.ra_in1k	256	43.147	56.853	59.217	40.783	21.62	0.887	bilinear	-50.723	-39.643	+161
832	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	256	43.147	56.853	58.433	41.567	119.42	0.900	bicubic	-50.063	-40.037	+311
833	regnetx_080.tv2_in1k	224	43.147	56.853	57.983	42.017	39.57	0.965	bicubic	-51.603	-41.197	-68
834	regnety_064.ra3_in1k	288	43.143	56.857	57.300	42.700	30.58	1.000	bicubic	-52.677	-42.100	-376
835	repvit_m0_9.dist_450e_in1k	224	43.133	56.867	60.443	39.557	5.49	0.950	bicubic	-50.337	-38.517	+264
836	resnest26d.gluon_in1k	224	43.130	56.870	60.590	39.410	17.07	0.875	bilinear	-50.150	-38.280	+299
837	cs3darknet_x.c2ns_in1k	256	43.123	56.877	58.500	41.500	35.05	1.000	bicubic	-51.857	-40.660	-133
838	twins_pcpvt_small.in1k	224	43.110	56.890	58.930	41.070	24.11	0.900	bicubic	-51.500	-39.840	-34
839	resnet50.b1k_in1k	224	43.097	56.903	59.013	40.987	25.56	1.000	bicubic	-50.373	-39.867	+261
840	coatnet_nano_rw_224.sw_in1k	224	43.070	56.930	57.877	42.123	15.14	0.900	bicubic	-51.960	-41.103	-148
841	ecaresnet50d.miil_in1k	288	43.067	56.933	59.480	40.520	25.58	0.950	bicubic	-51.603	-39.770	-48
842	convnext_nano_ols.d1h_in1k	224	43.027	56.973	57.933	42.067	15.65	1.000	bicubic	-51.123	-41.007	+98
843	resmlp_36_224.fb_in1k	224	43.010	56.990	59.413	40.587	44.69	0.875	bicubic	-50.660	-39.507	+201
844	resnet152.gluon_in1k	224	42.973	57.027	57.740	42.260	60.19	0.875	bicubic	-51.067	-40.990	+121
845	seresnet50.ra2_in1k	224	42.933	57.067	58.927	41.073	28.09	0.950	bicubic	-51.407	-40.203	+41
846	twins_svt_small.in1k	224	42.933	57.067	58.430	41.570	24.06	0.900	bicubic	-51.837	-40.650	-85
847	fastvit_sa12.apple_in1k	256	42.923	57.077	58.873	41.127	11.58	0.900	bicubic	-51.537	-40.167	+2
848	fbnetv3_d.ra2_in1k	256	42.907	57.093	59.650	40.350	10.31	0.950	bilinear	-50.913	-39.250	+156
849	tf_efficientnet_b1.ap_in1k	240	42.887	57.113	58.907	41.093	7.79	0.882	bicubic	-50.753	-39.843	+203
850	resnet50.tv2_in1k	176	42.887	57.113	58.617	41.383	25.56	0.965	bilinear	-50.733	-40.343	+210
851	dpn131.mx_in1k	224	42.883	57.117	57.167	42.833	79.25	0.875	bicubic	-50.907	-41.743	+163
852	tf_efficientnet_lite4.in1k	380	42.877	57.123	57.723	42.277	13.01	0.920	bilinear	-52.013	-41.367	-121
853	mobilenet_edgetpu_v2_m	256	42.863	57.137	58.030	41.970	8.46	0.950	bicubic	-51.697	-40.950	-28
854	resnet152c.gluon_in1k	224	42.850	57.150	57.793	42.207	60.21	0.875	bicubic	-51.040	-41.107	+137
855	resnet50.tv2_in1k	224	42.840	57.160	58.543	41.457	25.56	0.965	bilinear	-51.750	-40.167	-43
856	coatnet_0_rw_224.sw_in1k	224	42.807	57.193	56.297	43.703	27.44	0.950	bicubic	-52.123	-42.723	-134
857	tresnet_l.miil_in1k_448	448	42.803	57.197	58.943	41.057	55.99	0.875	bilinear	-52.607	-40.457	-283
858	gcresnet50t.ra2_in1k	288	42.790	57.210	59.077	40.923	25.90	1.000	bicubic	-51.980	-40.033	-100
859	levit_256.fb_dist_in1k	224	42.787	57.213	57.913	42.087	18.89	0.900	bicubic	-51.633	-41.147	+1
860	levit_conv_256.fb_dist_in1k	224	42.783	57.217	57.913	42.087	18.89	0.900	bicubic	-51.637	-41.137	+1
861	mobilevitv2_200.cvnets_in22k_ft_in1k_384	384	42.777	57.223	58.860	41.140	18.45	1.000	bicubic	-52.643	-40.390	-293
862	cs3darknet_x.c2ns_in1k	288	42.763	57.237	58.140	41.860	35.05	1.000	bicubic	-52.507	-40.830	-248
863	dpn107.mx_in1k	224	42.763	57.237	57.280	42.720	86.92	0.875	bicubic	-51.247	-41.540	+109
864	resnext50_32x4d.tv2_in1k	224	42.753	57.247	57.563	42.437	25.03	0.965	bilinear	-51.737	-41.427	-22
865	resnetv2_50d_gn.ah_in1k	224	42.750	57.250	57.873	42.127	25.57	1.000	bicubic	-51.700	-41.107	-9
866	seresnext50_32x4d.gluon_in1k	224	42.700	57.300	58.657	41.343	27.56	0.875	bicubic	-51.470	-40.353	+69
867	resnet152.a3_in1k	160	42.700	57.300	56.957	43.043	60.19	0.950	bicubic	-50.670	-41.623	+258
868	tresnet_m.miil_in1k	224	42.693	57.307	58.193	41.807	31.39	0.875	bilinear	-51.407	-40.837	+83
869	ecaresnet50d_pruned.miil_in1k	224	42.647	57.353	59.067	40.933	19.94	0.950	bicubic	-51.183	-39.873	+134
870	regnety_040.ra3_in1k	288	42.610	57.390	57.050	42.950	20.65	1.000	bicubic	-52.850	-42.360	-312
871	resnext101_32x8d.tv_in1k	224	42.600	57.400	58.370	41.630	88.79	0.875	bilinear	-51.180	-40.580	+145
872	convnext_nano.d1h_in1k	288	42.580	57.420	57.537	42.463	15.59	1.000	bicubic	-52.310	-41.573	-142
873	xcit_tiny_12_p16_384.fb_dist_in1k	384	42.573	57.427	58.060	41.940	6.72	1.000	bicubic	-51.987	-40.810	-49
874	resnetaa50d.sw_in12k_ft_in1k	288	42.560	57.440	58.427	41.573	25.58	1.000	bicubic	-52.710	-40.963	-261
875	fastvit_s12.apple_dist_in1k	256	42.547	57.453	58.160	41.840	9.47	0.900	bicubic	-51.733	-40.870	+28
876	resnetv2_50d_evos.ah_in1k	224	42.547	57.453	57.360	42.640	25.59	1.000	bicubic	-51.763	-41.570	+19
877	efficientvit_b1.r256_in1k	256	42.527	57.473	57.487	42.513	9.10	1.000	bicubic	-51.133	-41.273	+169
878	nf_resnet50.ra2_in1k	288	42.480	57.520	59.607	40.393	25.56	0.940	bicubic	-51.900	-39.433	-10
879	resnet50.b2k_in1k	224	42.473	57.527	58.203	41.797	25.56	1.000	bicubic	-51.227	-40.547	+159
880	seresnext50_32x4d.racm_in1k	288	42.467	57.533	58.127	41.873	27.56	0.950	bicubic	-52.543	-41.013	-183
881	resnetrs101.tf_in1k	288	42.460	57.540	57.290	42.710	63.62	0.940	bicubic	-52.770	-41.920	-250
882	mobilevitv2_175.cvnets_in22k_ft_in1k	256	42.457	57.543	58.277	41.723	14.25	0.888	bicubic	-52.313	-40.823	-123
883	dpn68b.ra_in1k	224	42.457	57.543	56.810	43.190	12.61	1.000	bicubic	-50.713	-41.870	+266
884	edgenext_small_rw.sw_in1k	256	42.383	57.617	59.117	40.883	7.83	1.000	bicubic	-51.437	-39.783	+121
885	poolformer_s36.sail_in1k	224	42.383	57.617	58.803	41.197	30.86	0.900	bicubic	-52.247	-40.257	-84
886	repvit_m1.dist_in1k	224	42.370	57.630	59.640	40.360	5.49	0.950	bicubic	-50.970	-39.130	+243
887	mobileone_s4.apple_in1k	224	42.370	57.630	58.053	41.947	14.95	0.900	bilinear	-51.370	-40.757	+143
888	resnet50.ram_in1k	224	42.353	57.647	56.267	43.733	25.56	0.950	bicubic	-51.037	-42.373	+233
889	nest_tiny_jx.goog_in1k	224	42.347	57.653	57.040	42.960	17.06	0.875	bicubic	-52.593	-42.160	-170
890	tf_efficientnetv2_b3.in1k	300	42.330	57.670	58.013	41.987	14.36	0.904	bicubic	-52.810	-41.227	-234
891	legacy_senet154.in1k	224	42.327	57.673	56.683	43.317	115.09	0.875	bilinear	-52.413	-42.237	-124
892	mobileone_s3.apple_in1k	224	42.300	57.700	59.327	40.673	10.17	0.900	bilinear	-50.700	-39.283	+277
893	resnet101.a1_in1k	224	42.297	57.703	55.647	44.353	44.55	1.000	bicubic	-52.013	-43.273	+4
894	hgnet_small.paddle_in1k	288	42.287	57.713	58.707	41.293	24.36	1.000	bicubic	-52.803	-40.503	-216
895	xcit_tiny_24_p16_224.fb_in1k	224	42.283	57.717	56.793	43.207	12.12	1.000	bicubic	-51.567	-41.957	+105
896	tf_efficientnet_cc_b1_8e.in1k	240	42.280	57.720	58.530	41.470	39.72	0.882	bicubic	-51.310	-40.180	+174
897	deit_small_patch16_224.fb_in1k	224	42.267	57.733	58.037	41.963	22.05	0.900	bicubic	-51.723	-41.023	+79
898	convmixer_1024_20_ks9_p14.in1k	224	42.260	57.740	59.687	40.313	24.38	0.960	bicubic	-50.070	-38.743	+356
899	resnet152.a1_in1k	288	42.240	57.760	55.460	44.540	60.19	1.000	bicubic	-52.900	-43.550	-240
900	tf_efficientnet_b2.aa_in1k	260	42.227	57.773	58.213	41.787	9.11	0.890	bicubic	-51.983	-40.717	+24
901	dpn98.mx_in1k	224	42.170	57.830	56.677	43.323	61.57	0.875	bicubic	-51.790	-42.333	+79
902	cait_xxs24_384.fb_dist_in1k	384	42.160	57.840	57.503	42.497	12.03	1.000	bicubic	-52.780	-41.597	-184
903	resnext50_32x4d.ra_in1k	224	42.153	57.847	57.600	42.400	25.03	0.950	bicubic	-51.557	-41.180	+132
904	hgnet_tiny.paddle_in1k	224	42.150	57.850	58.930	41.070	14.74	1.000	bicubic	-51.680	-40.020	+98
905	resnext50_32x4d.gluon_in1k	224	42.140	57.860	57.693	42.307	25.03	0.875	bicubic	-51.560	-41.027	+135
906	resnext50_32x4d.a1h_in1k	224	42.097	57.903	56.627	43.373	25.03	1.000	bicubic	-52.323	-42.143	-44
907	xception41p.ra3_in1k	299	42.077	57.923	56.870	43.130	26.91	0.940	bicubic	-52.993	-42.320	-222
908	convnext_nano_ols.d1h_in1k	288	42.037	57.963	56.863	43.137	15.65	1.000	bicubic	-52.553	-42.207	-95
909	resnet152.a2_in1k	224	42.017	57.983	55.730	44.270	60.19	1.000	bicubic	-52.593	-43.200	-101
910	resnet50.b1k_in1k	288	41.987	58.013	58.203	41.797	25.56	1.000	bicubic	-52.503	-40.857	-67
911	resnet50.b2k_in1k	288	41.980	58.020	57.680	42.320	25.56	1.000	bicubic	-52.320	-41.520	-11
912	pvt_v2_b1.in1k	224	41.963	58.037	59.583	40.417	14.01	0.900	bicubic	-51.547	-39.377	+175
913	resnext50_32x4d.tv2_in1k	176	41.963	58.037	56.667	43.333	25.03	0.965	bilinear	-51.437	-42.033	+207
914	efficientnet_b2.ra_in1k	288	41.947	58.053	58.300	41.700	9.11	1.000	bicubic	-52.423	-40.560	-40
915	gcresnext50ts.ch_in1k	256	41.943	58.057	57.793	42.207	15.67	1.000	bicubic	-52.277	-41.067	+7
916	efficientnet_b2.ra_in1k	256	41.933	58.067	58.313	41.687	9.11	1.000	bicubic	-51.807	-40.627	+113
917	resnet50.ra_in1k	224	41.927	58.073	57.930	42.070	25.56	0.950	bicubic	-51.503	-40.800	+193
918	tf_efficientnet_b3.in1k	300	41.917	58.083	58.150	41.850	12.23	0.904	bicubic	-52.353	-40.740	-13
919	mobilevitv2_150.cvnets_in22k_ft_in1k	256	41.883	58.117	57.897	42.103	10.59	0.888	bicubic	-52.857	-41.183	-150
920	cs3sedarknet_l.c2ns_in1k	256	41.873	58.127	57.767	42.233	21.91	0.950	bicubic	-53.257	-41.423	-254
921	xcit_tiny_12_p16_224.fb_dist_in1k	224	41.843	58.157	57.303	42.697	6.72	1.000	bicubic	-51.497	-41.367	+205
922	fastvit_t12.apple_dist_in1k	256	41.827	58.173	57.600	42.400	7.55	0.900	bicubic	-52.273	-41.230	+28
923	efficientformerv2_s1.snap_dist_in1k	224	41.813	58.187	57.973	42.027	6.19	0.950	bicubic	-51.807	-40.747	+136
924	resnet50d.ra2_in1k	288	41.797	58.203	58.137	41.863	25.58	0.950	bicubic	-53.043	-41.143	-174
925	gcvit_xxtiny.in1k	224	41.763	58.237	58.337	41.663	12.00	0.875	bicubic	-52.307	-40.583	+29
926	poolformer_s24.sail_in1k	224	41.760	58.240	58.520	41.480	21.39	0.900	bicubic	-52.620	-40.660	-57
927	resnetblur50.bt_in1k	224	41.747	58.253	57.573	42.427	25.56	0.950	bicubic	-51.883	-41.337	+129
928	resnext50_32x4d.a1h_in1k	288	41.710	58.290	56.380	43.620	25.03	1.000	bicubic	-53.290	-42.810	-229
929	edgenext_small_rw.sw_in1k	320	41.693	58.307	58.520	41.480	7.83	1.000	bicubic	-52.677	-40.530	-54
930	cs3darknet_l.c2ns_in1k	256	41.690	58.310	57.603	42.397	21.16	0.950	bicubic	-52.700	-41.517	-64
931	senet154.gluon_in1k	224	41.687	58.313	56.510	43.490	115.09	0.875	bicubic	-53.003	-42.460	-144
932	mobilevitv2_150.cvnets_in22k_ft_in1k_384	384	41.683	58.317	57.807	42.193	10.59	1.000	bicubic	-53.657	-41.323	-337
933	dla102x2.in1k	224	41.677	58.323	58.027	41.973	41.28	0.875	bilinear	-52.353	-40.983	+35
934	mobilevitv2_175.cvnets_in22k_ft_in1k_384	384	41.667	58.333	58.007	41.993	14.25	1.000	bicubic	-53.593	-41.013	-318
935	inception_v4.tf_in1k	299	41.663	58.337	55.370	44.630	42.68	0.875	bicubic	-52.707	-43.690	-58
936	gcresnext50ts.ch_in1k	288	41.657	58.343	57.340	42.660	15.67	1.000	bicubic	-52.853	-41.620	-101
937	efficientvit_b1.r224_in1k	224	41.637	58.363	56.627	43.373	9.10	0.950	bicubic	-51.683	-41.993	+193
938	hrnet_w64.ms_in1k	224	41.623	58.377	57.193	42.807	128.06	0.875	bilinear	-52.217	-41.727	+63
939	seresnet50.ra2_in1k	288	41.603	58.397	57.953	42.047	28.09	0.950	bicubic	-53.167	-41.027	-182
940	resnetaa50.a1h_in1k	224	41.600	58.400	56.603	43.397	25.56	1.000	bicubic	-52.640	-42.257	-21
941	resnet50.c1_in1k	224	41.583	58.417	56.813	43.187	25.56	1.000	bicubic	-52.287	-41.947	+51
942	haloregnetz_b.ra3_in1k	224	41.563	58.437	57.063	42.937	11.68	0.940	bicubic	-52.947	-41.937	-106
943	cs3sedarknet_l.c2ns_in1k	288	41.560	58.440	57.403	42.597	21.91	0.950	bicubic	-53.550	-41.887	-273
944	tf_efficientnet_cc_b0_8e.in1k	224	41.533	58.467	57.430	42.570	24.01	0.875	bicubic	-51.337	-41.030	+254
945	tf_efficientnetv2_b2.in1k	208	41.530	58.470	57.373	42.627	10.10	0.890	bicubic	-52.080	-41.437	+118
946	efficientnet_el.ra_in1k	300	41.503	58.497	58.340	41.660	10.59	0.904	bicubic	-53.177	-40.770	-157
947	convnextv2_pico.fcmae_ft_in1k	288	41.503	58.497	58.050	41.950	9.07	0.950	bicubic	-53.067	-41.090	-126
948	nf_regnet_b1.ra2_in1k	256	41.497	58.503	58.867	41.133	10.22	0.900	bicubic	-51.943	-39.983	+159
949	efficientnet_em.ra2_in1k	240	41.490	58.510	58.863	41.137	6.90	0.882	bicubic	-52.270	-40.047	+73
950	regnetz_b16.ra3_in1k	224	41.487	58.513	57.347	42.653	9.72	1.000	bicubic	-52.573	-41.643	+9
951	resnet50.a1h_in1k	224	41.463	58.537	56.793	43.207	25.56	1.000	bicubic	-52.747	-42.137	-25
952	resnet101.a2_in1k	224	41.450	58.550	55.357	44.643	44.55	1.000	bicubic	-52.920	-43.683	-76
953	halo2botnet50ts_256.a1h_in1k	256	41.443	58.557	56.267	43.733	22.64	0.950	bicubic	-53.577	-43.013	-257
954	resnetv2_50.a1h_in1k	224	41.440	58.560	56.870	43.130	25.55	1.000	bicubic	-52.880	-41.920	-63
955	cait_xxs24_224.fb_dist_in1k	224	41.437	58.563	57.523	42.477	11.96	1.000	bicubic	-52.063	-41.307	+134
956	swinv2_cr_tiny_ns_224.sw_in1k	224	41.413	58.587	57.133	42.867	28.33	0.900	bicubic	-53.367	-41.997	-200
957	swin_tiny_patch4_window7_224.ms_in1k	224	41.397	58.603	57.333	42.667	28.29	0.900	bicubic	-53.293	-41.807	-172
958	ese_vovnet39b.ra_in1k	224	41.390	58.610	57.357	42.643	24.57	0.950	bicubic	-52.640	-41.663	+9
959	resnetv2_50d_evos.ah_in1k	288	41.390	58.610	56.560	43.440	25.59	1.000	bicubic	-53.490	-42.640	-222
960	resnet50.a1h_in1k	176	41.380	58.620	56.610	43.390	25.56	1.000	bicubic	-52.070	-42.090	+144
961	convnext_tiny.fb_in22k_ft_in1k	288	41.353	58.647	55.377	44.623	28.59	1.000	bicubic	-52.197	-43.243	+119
962	resnet152.tv_in1k	224	41.340	58.660	57.593	42.407	60.19	0.875	bilinear	-51.930	-41.117	+174
963	xception71.tf_in1k	299	41.333	58.667	56.007	43.993	42.34	0.903	bicubic	-52.577	-42.773	+24
964	resnet50.ram_in1k	288	41.330	58.670	55.073	44.927	25.56	0.950	bicubic	-52.670	-43.827	+10
965	gernet_s.idstcv_in1k	224	41.313	58.687	58.890	41.110	8.17	0.875	bilinear	-51.137	-39.520	+278
966	cs3darknet_l.c2ns_in1k	288	41.313	58.687	57.390	42.610	21.16	0.950	bicubic	-53.387	-41.830	-185
967	cs3darknet_focus_l.c2ns_in1k	256	41.300	58.700	57.057	42.943	21.15	0.950	bicubic	-53.180	-41.903	-123
968	swinv2_tiny_window8_256.ms_in1k	256	41.280	58.720	56.960	43.040	28.35	0.900	bicubic	-53.780	-42.140	-281
969	resnet101.a1_in1k	288	41.273	58.727	54.253	45.747	44.55	1.000	bicubic	-53.617	-44.777	-233
970	dpn68b.ra_in1k	288	41.253	58.747	55.043	44.957	12.61	1.000	bicubic	-52.507	-43.907	+55
971	inception_v3.tf_adv_in1k	299	41.240	58.760	56.337	43.663	23.83	0.875	bicubic	-51.730	-42.213	+205
972	dpn92.mx_in1k	224	41.207	58.793	56.210	43.790	37.67	0.875	bicubic	-52.943	-42.640	-33
973	resnet101.a3_in1k	160	41.150	58.850	55.957	44.043	44.55	0.950	bicubic	-51.730	-42.563	+224
974	resnet34d.ra2_in1k	224	41.117	58.883	56.983	43.017	21.82	0.950	bicubic	-51.403	-41.657	+263
975	resnetv2_50d_gn.ah_in1k	288	41.113	58.887	56.557	43.443	25.57	1.000	bicubic	-54.127	-42.703	-348
976	resnet50.c1_in1k	288	41.090	58.910	56.533	43.467	25.56	1.000	bicubic	-53.420	-42.537	-142
977	resnet50d.gluon_in1k	224	41.040	58.960	57.170	42.830	25.58	0.875	bicubic	-52.530	-41.500	+99
978	nf_regnet_b1.ra2_in1k	288	41.033	58.967	58.190	41.810	10.22	0.900	bicubic	-52.877	-40.750	+10
979	ecaresnet50d_pruned.miil_in1k	288	40.993	59.007	57.733	42.267	19.94	0.950	bicubic	-53.307	-41.457	-81
980	resnetv2_50.a1h_in1k	288	40.973	59.027	56.463	43.537	25.55	1.000	bicubic	-53.737	-42.597	-202
981	convnext_pico.d1_in1k	224	40.970	59.030	56.743	43.257	9.05	0.950	bicubic	-52.520	-42.197	+111
982	resnet50.c2_in1k	224	40.927	59.073	55.723	44.277	25.56	1.000	bicubic	-52.863	-43.137	+31
983	fbnetv3_b.ra2_in1k	224	40.923	59.077	58.737	41.263	8.60	0.950	bilinear	-51.997	-39.863	+204
984	fbnetv3_b.ra2_in1k	256	40.920	59.080	58.650	41.350	8.60	0.950	bilinear	-52.730	-39.990	+64
985	inception_v3.gluon_in1k	299	40.900	59.100	55.700	44.300	23.83	0.875	bicubic	-52.700	-43.040	+80
986	tf_efficientnetv2_b1.in1k	192	40.883	59.117	56.733	43.267	8.14	0.882	bicubic	-52.347	-42.027	+154
987	legacy_xception.tf_in1k	299	40.883	59.117	56.567	43.433	22.86	0.897	bicubic	-52.777	-42.483	+61
988	convnext_pico_ols.d1_in1k	224	40.880	59.120	56.830	43.170	9.06	1.000	bicubic	-52.720	-42.030	+78
989	resnet152.a3_in1k	224	40.870	59.130	55.033	44.967	60.19	0.950	bicubic	-53.590	-44.037	-137
990	cs3darknet_focus_l.c2ns_in1k	288	40.860	59.140	56.667	43.333	21.15	0.950	bicubic	-53.950	-42.513	-236
991	regnety_320.pycls_in1k	224	40.843	59.157	56.170	43.830	145.05	0.875	bicubic	-53.677	-43.000	-158
992	maxvit_rmlp_pico_rw_256.sw_in1k	256	40.837	59.163	55.277	44.723	7.52	0.950	bicubic	-53.423	-43.763	-79
993	levit_192.fb_dist_in1k	224	40.807	59.193	56.633	43.367	10.95	0.900	bicubic	-52.903	-42.147	+43
994	regnetx_032.tv2_in1k	224	40.803	59.197	56.713	43.287	15.30	0.965	bicubic	-53.737	-42.177	-163
995	resnet152.a2_in1k	288	40.800	59.200	54.300	45.700	60.19	1.000	bicubic	-54.200	-44.760	-293
996	resnet50_gn.a1h_in1k	224	40.797	59.203	55.823	44.177	25.56	0.950	bicubic	-53.203	-43.057	-23
997	levit_conv_192.fb_dist_in1k	224	40.790	59.210	56.640	43.360	10.95	0.900	bicubic	-52.920	-42.190	+40
998	tiny_vit_5m_224.in1k	224	40.787	59.213	57.257	42.743	5.39	0.950	bicubic	-53.013	-41.653	+10
999	resnet101.gluon_in1k	224	40.787	59.213	56.230	43.770	44.55	0.875	bicubic	-53.033	-42.480	+7
1000	resnext50d_32x4d.bt_in1k	224	40.787	59.213	55.973	44.027	25.05	0.950	bicubic	-53.073	-42.887	-2
1001	eca_resnet33ts.ra2_in1k	256	40.780	59.220	57.633	42.367	19.68	1.000	bicubic	-53.070	-41.297	-2
1002	halonet50ts.a1h_in1k	256	40.770	59.230	55.380	44.620	22.73	0.940	bicubic	-53.940	-43.760	-222
1003	ecaresnet50t.a1_in1k	224	40.753	59.247	55.163	44.837	25.57	1.000	bicubic	-53.567	-43.677	-111
1004	eva02_tiny_patch14_336.mim_in22k_ft_in1k	336	40.733	59.267	56.200	43.800	5.76	1.000	bicubic	-53.727	-42.680	-156
1005	hrnet_w40.ms_in1k	224	40.700	59.300	56.857	43.143	57.56	0.875	bilinear	-53.060	-41.973	+19
1006	repvgg_b1.rvgg_in1k	224	40.693	59.307	57.803	42.197	57.42	0.875	bilinear	-52.727	-40.967	+106
1007	skresnext50_32x4d.ra_in1k	224	40.690	59.310	56.000	44.000	27.48	0.875	bicubic	-53.290	-42.820	-30
1008	vit_base_patch32_384.augreg_in1k	384	40.690	59.310	55.237	44.763	88.30	1.000	bicubic	-52.490	-43.383	+139
1009	resnet50.d_in1k	224	40.683	59.317	55.347	44.653	25.56	1.000	bicubic	-52.897	-43.503	+64
1010	resmlp_24_224.fb_in1k	224	40.677	59.323	56.617	43.383	30.02	0.875	bicubic	-52.753	-42.203	+99
1011	resnetaa50.a1h_in1k	288	40.663	59.337	56.157	43.843	25.56	1.000	bicubic	-54.197	-42.983	-267
1012	lamhalobotnet50ts_256.a1h_in1k	256	40.650	59.350	56.103	43.897	22.57	0.950	bicubic	-54.120	-43.027	-251
1013	tf_efficientnet_lite3.in1k	300	40.647	59.353	56.743	43.257	8.20	0.904	bilinear	-53.523	-42.117	-78
1014	ese_vovnet39b.ra_in1k	288	40.637	59.363	56.690	43.310	24.57	0.950	bicubic	-53.863	-42.400	-176
1015	resnet50.am_in1k	224	40.593	59.407	57.333	42.667	25.56	0.875	bicubic	-53.037	-41.627	+42
1016	resnext50_32x4d.ra_in1k	288	40.580	59.420	56.190	43.810	25.03	0.950	bicubic	-53.730	-42.980	-122
1017	mobilevitv2_175.cvnets_in1k	256	40.570	59.430	56.230	43.770	14.25	0.888	bicubic	-53.700	-42.590	-110
1018	dla169.in1k	224	40.547	59.453	57.387	42.613	53.39	0.875	bilinear	-53.233	-41.473	0
1019	repvgg_b2.rvgg_in1k	224	40.533	59.467	57.787	42.213	89.02	0.875	bilinear	-53.037	-41.073	+55
1020	regnetx_320.pycls_in1k	224	40.533	59.467	55.660	44.340	107.81	0.875	bicubic	-53.677	-43.180	-97
1021	xcit_tiny_12_p8_224.fb_in1k	224	40.527	59.473	55.560	44.440	6.71	1.000	bicubic	-53.823	-43.490	-139
1022	resnext50_32x4d.a1_in1k	224	40.527	59.473	54.477	45.523	25.03	1.000	bicubic	-53.253	-44.413	-3
1023	pit_xs_224.in1k	224	40.523	59.477	56.523	43.477	10.62	0.900	bicubic	-52.377	-41.797	+167
1024	wide_resnet101_2.tv_in1k	224	40.517	59.483	55.997	44.003	126.89	0.875	bilinear	-53.243	-42.823	-1
1025	tresnet_m.miil_in1k_448	448	40.513	59.487	56.650	43.350	31.39	0.875	bilinear	-54.167	-42.440	-237
1026	efficientnet_b2_pruned.in1k	260	40.467	59.533	56.630	43.370	8.31	0.890	bicubic	-53.333	-42.210	-16
1027	resnet50.a1_in1k	224	40.460	59.540	54.750	45.250	25.56	1.000	bicubic	-53.230	-43.720	+15
1028	regnetz_b16.ra3_in1k	288	40.440	59.560	56.050	43.950	9.72	1.000	bicubic	-54.240	-43.090	-238
1029	darknetaa53.c2ns_in1k	256	40.427	59.573	55.907	44.093	36.02	1.000	bilinear	-53.353	-43.063	-12
1030	vit_base_patch16_384.augreg_in1k	384	40.420	59.580	53.280	46.720	86.86	1.000	bicubic	-54.040	-45.800	-179
1031	tf_efficientnet_b0.ap_in1k	224	40.397	59.603	56.837	43.163	5.29	0.875	bicubic	-52.223	-41.873	+195
1032	eca_resnet33ts.ra2_in1k	288	40.393	59.607	57.343	42.657	19.68	1.000	bicubic	-53.867	-41.667	-122
1033	skresnet34.ra_in1k	224	40.390	59.610	56.777	43.223	22.28	0.875	bicubic	-52.180	-41.763	+201
1034	hgnet_tiny.paddle_in1k	288	40.367	59.633	56.510	43.490	14.74	1.000	bicubic	-53.943	-42.530	-141
1035	regnetx_160.pycls_in1k	224	40.343	59.657	56.110	43.890	54.28	0.875	bicubic	-53.567	-42.970	-49
1036	legacy_seresnext101_32x4d.in1k	224	40.330	59.670	54.863	45.137	48.96	0.875	bilinear	-53.920	-44.107	-121
1037	coat_mini.in1k	224	40.323	59.677	55.153	44.847	10.34	0.900	bicubic	-54.427	-43.897	-271
1038	resnet34d.ra2_in1k	288	40.310	59.690	56.160	43.840	21.82	0.950	bicubic	-53.330	-42.620	+15
1039	xception65.tf_in1k	299	40.303	59.697	55.263	44.737	39.92	0.903	bicubic	-53.517	-43.457	-34
1040	densenet201.tv_in1k	224	40.300	59.700	56.757	43.243	20.01	0.875	bicubic	-52.440	-41.923	+172
1041	coat_lite_mini.in1k	224	40.300	59.700	55.657	44.343	11.01	0.900	bicubic	-53.220	-43.143	+45
1042	sebotnet33ts_256.a1h_in1k	256	40.293	59.707	53.147	46.853	13.70	0.940	bicubic	-54.057	-45.943	-157
1043	mobileone_s2.apple_in1k	224	40.287	59.713	57.993	42.007	7.88	0.900	bilinear	-52.343	-40.687	+179
1044	efficientnet_el_pruned.in1k	300	40.283	59.717	56.727	43.273	10.59	0.904	bicubic	-53.787	-42.203	-88
1045	seresnet33ts.ra2_in1k	256	40.260	59.740	56.987	43.013	19.78	1.000	bicubic	-53.830	-41.833	-93
1046	resnet101.a2_in1k	288	40.253	59.747	54.237	45.763	44.55	1.000	bicubic	-54.637	-44.993	-313
1047	resnet50.ra_in1k	288	40.247	59.753	56.270	43.730	25.56	0.950	bicubic	-53.923	-42.650	-110
1048	resnet50.c2_in1k	288	40.193	59.807	55.240	44.760	25.56	1.000	bicubic	-54.067	-43.760	-137
1049	seresnet50.a1_in1k	224	40.180	59.820	55.220	44.780	28.09	1.000	bicubic	-53.570	-43.520	-22
1050	hrnet_w48.ms_in1k	224	40.163	59.837	56.603	43.397	77.47	0.875	bilinear	-53.887	-42.347	-89
1051	poolformerv2_s12.sail_in1k	224	40.150	59.850	57.463	42.537	11.89	1.000	bicubic	-52.740	-41.187	+143
1052	densenetblur121d.ra_in1k	224	40.143	59.857	57.227	42.773	8.00	0.950	bicubic	-52.307	-41.283	+191
1053	resnetblur50.bt_in1k	288	40.143	59.857	56.230	43.770	25.56	0.950	bicubic	-54.027	-42.710	-118
1054	darknetaa53.c2ns_in1k	288	40.137	59.863	55.777	44.223	36.02	1.000	bilinear	-54.113	-43.263	-138
1055	mobilevitv2_200.cvnets_in1k	256	40.137	59.863	55.583	44.417	18.45	0.888	bicubic	-54.423	-43.427	-228
1056	efficientnet_b0.ra4_e3600_r224_in1k	256	40.117	59.883	56.133	43.867	5.29	1.000	bicubic	-53.383	-42.537	+32
1057	vit_base_patch16_224.sam_in1k	224	40.113	59.887	55.543	44.457	86.57	0.900	bicubic	-53.777	-43.257	-67
1058	hrnet_w30.ms_in1k	224	40.107	59.893	57.130	42.870	37.71	0.875	bilinear	-53.293	-41.700	+59
1059	resnet50d.a1_in1k	224	40.103	59.897	54.257	45.743	25.58	1.000	bicubic	-53.847	-44.613	-76
1060	fastvit_t12.apple_in1k	256	40.083	59.917	55.250	44.750	7.55	0.900	bicubic	-53.417	-43.520	+31
1061	legacy_seresnet152.in1k	224	40.073	59.927	55.887	44.113	66.82	0.875	bilinear	-53.367	-42.873	+45
1062	efficientnet_b0.ra4_e3600_r224_in1k	224	40.070	59.930	56.257	43.743	5.29	1.000	bicubic	-52.720	-42.313	+142
1063	tf_efficientnet_b1.aa_in1k	240	40.040	59.960	56.170	43.830	7.79	0.882	bicubic	-53.680	-42.630	-29
1064	resnet50_gn.a1h_in1k	288	40.037	59.963	54.967	45.033	25.56	0.950	bicubic	-54.583	-44.183	-261
1065	gcresnet33ts.ra2_in1k	256	40.000	60.000	56.307	43.693	19.88	1.000	bicubic	-53.800	-42.633	-54
1066	resnet50.d_in1k	288	39.987	60.013	54.683	45.317	25.56	1.000	bicubic	-54.483	-44.307	-220
1067	resnet101c.gluon_in1k	224	39.983	60.017	55.233	44.767	44.57	0.875	bicubic	-53.747	-43.527	-35
1068	regnetx_080.pycls_in1k	224	39.977	60.023	56.043	43.957	39.57	0.875	bicubic	-53.813	-42.787	-56
1069	darknet53.c2ns_in1k	256	39.967	60.033	55.963	44.037	41.61	1.000	bicubic	-54.253	-43.037	-148
1070	seresnet33ts.ra2_in1k	288	39.927	60.073	56.343	43.657	19.78	1.000	bicubic	-54.333	-42.697	-158
1071	fastvit_s12.apple_in1k	256	39.927	60.073	54.843	45.157	9.47	0.900	bicubic	-53.773	-43.827	-32
1072	resnet34.a1_in1k	224	39.923	60.077	54.367	45.633	21.80	1.000	bicubic	-51.897	-44.063	+218
1073	resmlp_12_224.fb_distilled_in1k	224	39.883	60.117	57.423	42.577	15.35	0.875	bicubic	-52.997	-41.237	+122
1074	convnext_pico_ols.d1_in1k	288	39.837	60.163	55.580	44.420	9.06	1.000	bicubic	-54.223	-43.350	-114
1075	res2net50_26w_8s.in1k	224	39.797	60.203	54.897	45.103	48.40	0.875	bilinear	-53.613	-43.793	+40
1076	ecaresnet50t.a3_in1k	160	39.793	60.207	55.553	44.447	25.57	0.950	bicubic	-52.807	-43.047	+151
1077	tf_efficientnetv2_b0.in1k	224	39.787	60.213	56.310	43.690	7.14	0.875	bicubic	-53.273	-42.390	+79
1078	tf_efficientnetv2_b0.in1k	192	39.787	60.213	56.257	43.743	7.14	0.875	bicubic	-52.473	-42.113	+188
1079	convnextv2_femto.fcmae_ft_in1k	224	39.773	60.227	55.823	44.177	5.23	0.950	bicubic	-53.237	-42.807	+86
1080	res2net101_26w_4s.in1k	224	39.763	60.237	54.583	45.417	45.21	0.875	bilinear	-53.767	-44.037	+4
1081	darknet53.c2ns_in1k	288	39.747	60.253	55.363	44.637	41.61	1.000	bicubic	-54.623	-43.727	-209
1082	vit_small_patch32_224.augreg_in21k_ft_in1k	224	39.747	60.253	55.293	44.707	22.88	0.900	bicubic	-52.443	-43.187	+188
1083	regnetx_120.pycls_in1k	224	39.737	60.263	55.663	44.337	46.11	0.875	bicubic	-54.563	-43.237	-184
1084	hrnet_w44.ms_in1k	224	39.680	60.320	55.327	44.673	67.06	0.875	bilinear	-53.950	-43.523	-30
1085	xception41.tf_in1k	299	39.663	60.337	55.010	44.990	26.97	0.903	bicubic	-53.817	-43.730	+11
1086	dla102x.in1k	224	39.653	60.347	56.490	43.510	26.31	0.875	bilinear	-53.917	-42.580	-11
1087	lambda_resnet50ts.a1h_in1k	256	39.650	60.350	54.313	45.687	21.54	0.950	bicubic	-54.920	-44.857	-264
1088	tf_efficientnetv2_b1.in1k	240	39.640	60.360	55.470	44.530	8.14	0.882	bicubic	-54.090	-43.380	-57
1089	densenet161.tv_in1k	224	39.637	60.363	56.190	43.810	28.68	0.875	bicubic	-53.293	-42.620	+95
1090	resmlp_big_24_224.fb_in1k	224	39.637	60.363	54.830	45.170	129.14	0.875	bicubic	-54.633	-44.120	-181
1091	sehalonet33ts.ra2_in1k	256	39.627	60.373	53.993	46.007	13.69	0.940	bicubic	-54.883	-44.787	-254
1092	resnet33ts.ra2_in1k	256	39.620	60.380	55.933	44.067	19.68	1.000	bicubic	-54.130	-42.747	-66
1093	tf_efficientnet_b2.in1k	260	39.610	60.390	56.193	43.807	9.11	0.890	bicubic	-54.130	-42.477	-65
1094	mixnet_xl.ra_in1k	224	39.567	60.433	55.840	44.160	11.90	0.875	bicubic	-54.683	-43.110	-176
1095	hrnet_w32.ms_in1k	224	39.527	60.473	56.257	43.743	41.23	0.875	bilinear	-53.433	-42.223	+82
1096	vit_small_patch16_384.augreg_in1k	384	39.523	60.477	54.200	45.800	22.20	1.000	bicubic	-55.147	-44.950	-302
1097	xcit_tiny_12_p16_224.fb_in1k	224	39.483	60.517	55.020	44.980	6.72	1.000	bicubic	-53.057	-43.630	+139
1098	levit_128.fb_dist_in1k	224	39.470	60.530	55.337	44.663	9.21	0.900	bicubic	-53.590	-43.483	+60
1099	levit_conv_128.fb_dist_in1k	224	39.460	60.540	55.440	44.560	9.21	0.900	bicubic	-53.590	-43.220	+61
1100	rexnet_130.nav_in1k	224	39.453	60.547	56.620	43.380	7.56	0.875	bicubic	-54.227	-42.090	-57
1101	ecaresnet50t.a1_in1k	288	39.443	60.557	53.630	46.370	25.57	1.000	bicubic	-55.457	-45.560	-374
1102	convnext_pico.d1_in1k	288	39.430	60.570	55.363	44.637	9.05	0.950	bicubic	-54.600	-43.657	-136
1103	resnetv2_50x1_bit.goog_in21k_ft_in1k	448	39.403	60.597	57.880	42.120	25.55	1.000	bilinear	-55.347	-41.170	-341
1104	resnext50_32x4d.a2_in1k	224	39.400	60.600	53.827	46.173	25.03	1.000	bicubic	-54.410	-44.713	-96
1105	regnety_064.pycls_in1k	224	39.397	60.603	55.817	44.183	30.58	0.875	bicubic	-54.723	-43.243	-157
1106	regnety_120.pycls_in1k	224	39.397	60.603	55.347	44.653	51.82	0.875	bicubic	-54.673	-43.733	-151
1107	seresnet50.a2_in1k	224	39.360	60.640	53.897	46.103	28.09	1.000	bicubic	-54.260	-44.863	-46
1108	tf_efficientnet_el.in1k	300	39.357	60.643	55.487	44.513	10.59	0.904	bicubic	-55.013	-43.343	-236
1109	inception_v3.tf_in1k	299	39.353	60.647	54.380	45.620	23.83	0.875	bicubic	-53.857	-43.940	+34
1110	ecaresnet50t.a2_in1k	224	39.347	60.653	54.430	45.570	25.57	1.000	bicubic	-54.803	-44.450	-169
1111	resnet50.bt_in1k	224	39.343	60.657	55.983	44.017	25.56	0.950	bicubic	-53.647	-42.747	+58
1112	gcresnet33ts.ra2_in1k	288	39.343	60.657	55.917	44.083	19.88	1.000	bicubic	-55.007	-42.633	-228
1113	resnet32ts.ra2_in1k	256	39.297	60.703	56.270	43.730	17.96	1.000	bicubic	-54.063	-42.350	+12
1114	resnet101.tv_in1k	224	39.297	60.703	55.857	44.143	44.55	0.875	bilinear	-53.593	-42.673	+78
1115	regnety_160.pycls_in1k	224	39.297	60.703	55.393	44.607	83.59	0.875	bicubic	-54.833	-43.457	-170
1116	repghostnet_200.in1k	224	39.287	60.713	56.493	43.507	9.80	0.875	bicubic	-54.253	-42.097	-35
1117	resnet101.a3_in1k	224	39.280	60.720	53.703	46.297	44.55	0.950	bicubic	-54.590	-45.137	-123
1118	resnext50_32x4d.a1_in1k	288	39.280	60.720	53.380	46.620	25.03	1.000	bicubic	-55.090	-45.390	-240
1119	mobilevitv2_150.cvnets_in1k	256	39.277	60.723	55.177	44.823	10.59	0.888	bicubic	-54.793	-43.843	-161
1120	resnet50s.gluon_in1k	224	39.267	60.733	55.093	44.907	25.68	0.875	bicubic	-54.313	-43.557	-49
1121	densenet121.ra_in1k	224	39.257	60.743	56.760	43.240	7.98	0.950	bicubic	-52.453	-41.700	+176
1122	tf_efficientnetv2_b2.in1k	260	39.193	60.807	54.623	45.377	10.10	0.890	bicubic	-54.877	-44.387	-165
1123	densenet169.tv_in1k	224	39.190	60.810	55.857	44.143	14.15	0.875	bicubic	-53.150	-42.713	+130
1124	resnext50d_32x4d.bt_in1k	288	39.150	60.850	54.400	45.600	25.05	0.950	bicubic	-55.290	-44.640	-266
1125	legacy_seresnet101.in1k	224	39.113	60.887	55.110	44.890	49.33	0.875	bilinear	-54.177	-43.670	+9
1126	ecaresnet26t.ra2_in1k	256	39.073	60.927	55.757	44.243	16.01	0.950	bicubic	-54.517	-43.233	-57
1127	efficientnet_b1_pruned.in1k	240	39.067	60.933	55.790	44.210	6.33	0.882	bicubic	-53.993	-42.920	+32
1128	repvgg_b1g4.rvgg_in1k	224	39.050	60.950	56.493	43.507	39.97	0.875	bilinear	-54.010	-42.057	+27
1129	resnet50.a1_in1k	288	38.990	61.010	53.270	46.730	25.56	1.000	bicubic	-55.320	-45.490	-233
1130	regnety_080.pycls_in1k	224	38.987	61.013	55.200	44.800	39.18	0.875	bicubic	-54.913	-43.790	-141
1131	resnext50_32x4d.a3_in1k	160	38.977	61.023	54.143	45.857	25.03	0.950	bicubic	-53.373	-44.217	+120
1132	inception_v3.tv_in1k	299	38.963	61.037	53.830	46.170	23.83	0.875	bicubic	-53.937	-44.860	+60
1133	convnext_femto.d1_in1k	224	38.943	61.057	55.507	44.493	5.22	0.950	bicubic	-53.707	-43.143	+88
1134	crossvit_9_dagger_240.in1k	240	38.943	61.057	54.913	45.087	8.78	0.875	bicubic	-53.837	-43.657	+73
1135	dla102.in1k	224	38.913	61.087	55.377	44.623	33.27	0.875	bilinear	-54.377	-43.373	-2
1136	legacy_seresnext50_32x4d.in1k	224	38.913	61.087	54.627	45.373	27.56	0.875	bilinear	-54.497	-44.273	-22
1137	resnet50.a2_in1k	224	38.887	61.113	53.027	46.973	25.56	1.000	bicubic	-54.683	-45.683	-60
1138	regnety_040.pycls_in1k	224	38.860	61.140	55.637	44.363	20.65	0.875	bicubic	-54.770	-43.323	-83
1139	visformer_tiny.in1k	224	38.860	61.140	55.037	44.963	10.32	0.900	bicubic	-54.110	-43.743	+34
1140	res2net101d.in1k	224	38.827	61.173	53.017	46.983	45.23	0.875	bilinear	-55.723	-46.063	-311
1141	resnet50d.a2_in1k	224	38.817	61.183	53.797	46.203	25.58	1.000	bicubic	-54.833	-44.843	-90
1142	regnetx_040.pycls_in1k	224	38.807	61.193	55.500	44.500	22.12	0.875	bicubic	-54.883	-43.450	-101
1143	efficientvit_m5.r224_in1k	224	38.777	61.223	55.013	44.987	12.47	0.875	bicubic	-53.353	-43.497	+132
1144	regnetx_032.pycls_in1k	224	38.757	61.243	55.147	44.853	15.30	0.875	bicubic	-54.543	-43.553	-12
1145	res2net50_14w_8s.in1k	224	38.707	61.293	54.177	45.823	25.06	0.875	bilinear	-54.303	-44.423	+21
1146	res2net50_26w_6s.in1k	224	38.700	61.300	53.780	46.220	37.05	0.875	bilinear	-54.880	-44.980	-74
1147	dla60_res2net.in1k	224	38.690	61.310	54.623	45.377	20.85	0.875	bilinear	-54.750	-44.227	-42
1148	dpn68.mx_in1k	224	38.687	61.313	54.747	45.253	12.61	0.875	bicubic	-53.623	-43.863	+109
1149	densenetblur121d.ra_in1k	288	38.683	61.317	55.617	44.383	8.00	0.950	bicubic	-54.327	-43.163	+19
1150	wide_resnet50_2.tv_in1k	224	38.663	61.337	54.543	45.457	68.88	0.875	bilinear	-54.807	-44.297	-52
1151	selecsls60.in1k	224	38.653	61.347	55.710	44.290	30.67	0.875	bicubic	-54.327	-43.120	+19
1152	resnet33ts.ra2_in1k	288	38.653	61.347	55.223	44.777	19.68	1.000	bicubic	-55.297	-43.247	-169
1153	regnetx_016.tv2_in1k	224	38.630	61.370	54.773	45.227	9.19	0.965	bicubic	-55.390	-44.147	-183
1154	dpn68b.mx_in1k	224	38.623	61.377	55.200	44.800	12.61	0.875	bicubic	-54.337	-43.480	+25
1155	dla60x.in1k	224	38.617	61.383	55.497	44.503	17.35	0.875	bilinear	-54.603	-43.223	-13
1156	selecsls60b.in1k	224	38.583	61.417	55.337	44.663	32.77	0.875	bicubic	-54.897	-43.503	-61
1157	resnetrs50.tf_in1k	160	38.573	61.427	54.097	45.903	35.69	0.910	bicubic	-54.347	-44.663	+31
1158	tf_efficientnet_b0.aa_in1k	224	38.557	61.443	56.133	43.867	5.29	0.875	bicubic	-53.833	-42.377	+91
1159	resnet32ts.ra2_in1k	288	38.523	61.477	55.557	44.443	17.96	1.000	bicubic	-55.077	-43.273	-93
1160	dla60_res2next.in1k	224	38.523	61.477	55.037	44.963	17.03	0.875	bilinear	-55.087	-43.603	-97
1161	seresnet50.a1_in1k	288	38.517	61.483	53.400	46.600	28.09	1.000	bicubic	-55.693	-45.620	-234
1162	repvgg_a2.rvgg_in1k	224	38.513	61.487	55.817	44.183	28.21	0.875	bilinear	-54.147	-42.743	+58
1163	hardcorenas_f.miil_green_in1k	224	38.513	61.487	55.727	44.273	8.20	0.875	bilinear	-54.507	-42.983	+1
1164	hrnet_w18_small_v2.gluon_in1k	224	38.503	61.497	56.240	43.760	15.60	0.875	bicubic	-54.467	-42.500	+8
1165	regnetx_064.pycls_in1k	224	38.500	61.500	55.040	44.960	26.21	0.875	bicubic	-55.160	-43.780	-120
1166	hrnet_w18.ms_in1k	224	38.467	61.533	55.797	44.203	21.30	0.875	bilinear	-54.283	-42.853	+44
1167	resnet50.gluon_in1k	224	38.460	61.540	54.893	45.107	25.56	0.875	bicubic	-54.110	-43.707	+66
1168	resmlp_12_224.fb_in1k	224	38.450	61.550	56.363	43.637	15.35	0.875	bicubic	-53.680	-42.207	+106
1169	tf_efficientnet_cc_b0_4e.in1k	224	38.437	61.563	55.193	44.807	13.31	0.875	bicubic	-54.423	-43.247	+30
1170	resnet50d.a1_in1k	288	38.413	61.587	52.863	47.137	25.58	1.000	bicubic	-55.947	-45.937	-290
1171	ghostnetv2_160.in1k	224	38.403	61.597	55.640	44.360	12.39	0.875	bicubic	-54.737	-43.010	-21
1172	tinynet_a.in1k	192	38.347	61.653	55.497	44.503	6.19	0.875	bicubic	-54.473	-43.073	+29
1173	regnety_008_tv.tv2_in1k	224	38.330	61.670	54.383	45.617	6.43	0.965	bicubic	-54.840	-43.957	-25
1174	resnet34.a1_in1k	288	38.317	61.683	52.337	47.663	21.80	1.000	bicubic	-54.693	-46.363	-7
1175	resnet26t.ra2_in1k	256	38.310	61.690	55.610	44.390	16.01	1.000	bicubic	-54.620	-42.920	+11
1176	densenet121.ra_in1k	288	38.237	61.763	55.203	44.797	7.98	0.950	bicubic	-54.513	-43.317	+35
1177	mixnet_l.ft_in1k	224	38.227	61.773	54.873	45.127	7.33	0.875	bicubic	-55.043	-43.877	-40
1178	regnety_032.pycls_in1k	224	38.210	61.790	54.457	45.543	19.44	0.875	bicubic	-55.300	-44.423	-92
1179	ecaresnet50t.a3_in1k	224	38.203	61.797	53.593	46.407	25.57	0.950	bicubic	-55.657	-45.087	-184
1180	resnet50d.a3_in1k	160	38.187	61.813	53.827	46.173	25.58	0.950	bicubic	-54.093	-44.503	+81
1181	poolformer_s12.sail_in1k	224	38.177	61.823	56.350	43.650	11.92	0.900	bicubic	-54.333	-42.040	+57
1182	efficientnet_b1.ft_in1k	256	38.170	61.830	54.033	45.967	7.79	1.000	bicubic	-54.850	-44.617	-19
1183	ecaresnet50t.a2_in1k	288	38.147	61.853	53.023	46.977	25.57	1.000	bicubic	-56.463	-46.117	-378
1184	hardcorenas_e.miil_green_in1k	224	38.137	61.863	55.203	44.797	8.07	0.875	bilinear	-54.813	-43.457	-3
1185	vit_base_patch16_224.augreg_in1k	224	38.137	61.863	50.680	49.320	86.57	0.900	bicubic	-55.203	-47.980	-57
1186	convnext_femto_ols.d1_in1k	224	38.097	61.903	54.223	45.777	5.23	0.950	bicubic	-54.483	-44.407	+45
1187	coat_lite_tiny.in1k	224	38.067	61.933	53.453	46.547	5.72	0.900	bicubic	-54.813	-45.197	+9
1188	gmixer_24_224.ra3_in1k	224	37.983	62.017	52.147	47.853	24.72	0.875	bicubic	-54.687	-46.093	+29
1189	hardcorenas_c.miil_green_in1k	224	37.980	62.020	55.700	44.300	5.52	0.875	bilinear	-54.340	-42.940	+67
1190	resnet50.a3_in1k	160	37.960	62.040	53.320	46.680	25.56	0.950	bicubic	-53.700	-44.930	+112
1191	resnext50_32x4d.a2_in1k	288	37.953	62.047	52.380	47.620	25.03	1.000	bicubic	-56.237	-46.360	-259
1192	resnetrs50.tf_in1k	224	37.937	62.063	53.313	46.687	35.69	0.910	bicubic	-56.093	-45.517	-223
1193	mobilevitv2_125.cvnets_in1k	256	37.917	62.083	54.110	45.890	7.48	0.888	bicubic	-55.563	-44.730	-99
1194	resnet34.a2_in1k	224	37.903	62.097	52.890	47.110	21.80	1.000	bicubic	-53.457	-45.220	+120
1195	resnet50c.gluon_in1k	224	37.887	62.113	54.203	45.797	25.58	0.875	bicubic	-55.043	-44.507	-11
1196	res2net50_26w_4s.in1k	224	37.887	62.113	53.150	46.850	25.70	0.875	bilinear	-55.303	-45.530	-49
1197	resnest14d.gluon_in1k	224	37.840	62.160	56.617	43.383	10.61	0.875	bilinear	-53.300	-41.733	+134
1198	efficientnet_es.ra_in1k	224	37.840	62.160	54.977	45.023	5.44	0.875	bicubic	-55.100	-43.683	-16
1199	efficientformerv2_s0.snap_dist_in1k	224	37.820	62.180	54.047	45.953	3.60	0.950	bicubic	-54.050	-44.353	+90
1200	cs3darknet_focus_m.c2ns_in1k	256	37.813	62.187	54.680	45.320	9.30	0.950	bicubic	-54.667	-43.760	+39
1201	convnext_femto.d1_in1k	288	37.803	62.197	54.297	45.703	5.22	0.950	bicubic	-55.657	-44.453	-100
1202	resnext50_32x4d.tv_in1k	224	37.787	62.213	54.143	45.857	25.03	0.875	bilinear	-55.113	-44.647	-11
1203	pit_ti_distilled_224.in1k	224	37.760	62.240	55.683	44.317	5.10	0.900	bicubic	-52.990	-42.407	+141
1204	seresnet50.a2_in1k	288	37.737	62.263	52.320	47.680	28.09	1.000	bicubic	-56.713	-46.520	-349
1205	efficientnet_b1.ft_in1k	224	37.697	62.303	53.580	46.420	7.79	1.000	bicubic	-54.453	-44.810	+67
1206	seresnet50.a3_in1k	160	37.613	62.387	53.253	46.747	28.09	0.950	bicubic	-53.657	-44.977	+114
1207	ecaresnet26t.ra2_in1k	320	37.600	62.400	54.383	45.617	16.01	0.950	bicubic	-56.360	-44.537	-228
1208	hardcorenas_d.miil_green_in1k	224	37.593	62.407	54.723	45.277	7.50	0.875	bilinear	-55.027	-43.757	+17
1209	vit_base_patch32_224.augreg_in1k	224	37.590	62.410	51.877	48.123	88.22	0.900	bicubic	-53.010	-45.843	+141
1210	resnet50.bt_in1k	288	37.577	62.423	53.763	46.237	25.56	0.950	bicubic	-56.433	-45.127	-239
1211	res2next50.in1k	224	37.530	62.470	52.880	47.120	24.67	0.875	bilinear	-55.610	-45.850	-60
1212	fastvit_t8.apple_dist_in1k	256	37.513	62.487	53.863	46.137	4.03	0.900	bicubic	-55.077	-44.777	+18
1213	convnextv2_femto.fcmae_ft_in1k	288	37.487	62.513	53.620	46.380	5.23	0.950	bicubic	-56.273	-44.900	-192
1214	lambda_resnet26t.c1_in1k	256	37.397	62.603	53.533	46.467	10.96	0.940	bicubic	-56.043	-45.317	-106
1215	hrnet_w18.ms_aug_in1k	224	37.380	62.620	54.163	45.837	21.30	0.950	bilinear	-56.090	-44.837	-118
1216	convnextv2_atto.fcmae_ft_in1k	224	37.373	62.627	53.413	46.587	3.71	0.950	bicubic	-54.427	-44.787	+76
1217	resnet34.bt_in1k	224	37.363	62.637	53.910	46.090	21.80	0.950	bicubic	-53.797	-44.180	+112
1218	hardcorenas_b.miil_green_in1k	224	37.280	62.720	55.010	44.990	5.18	0.875	bilinear	-54.680	-43.410	+64
1219	convnext_femto_ols.d1_in1k	288	37.273	62.727	53.163	46.837	5.23	0.950	bicubic	-56.137	-45.637	-106
1220	mobilenetv3_large_100.miil_in21k_ft_in1k	224	37.253	62.747	53.560	46.440	5.48	0.875	bilinear	-54.977	-44.670	+47
1221	resnet50d.a2_in1k	288	37.237	62.763	51.827	48.173	25.58	1.000	bicubic	-57.243	-47.083	-376
1222	res2net50d.in1k	224	37.220	62.780	51.303	48.697	25.72	0.875	bilinear	-57.050	-47.577	-314
1223	resnet50.a2_in1k	288	37.203	62.797	51.450	48.550	25.56	1.000	bicubic	-56.927	-47.700	-278
1224	res2net50_48w_2s.in1k	224	37.193	62.807	53.413	46.587	25.29	0.875	bilinear	-55.617	-45.197	-21
1225	dla60.in1k	224	37.177	62.823	54.313	45.687	22.04	0.875	bilinear	-55.533	-44.237	-10
1226	cs3darknet_focus_m.c2ns_in1k	288	37.173	62.827	53.967	46.033	9.30	0.950	bicubic	-55.947	-44.773	-74
1227	fastvit_t8.apple_in1k	256	37.153	62.847	53.160	46.840	4.03	0.900	bicubic	-54.787	-45.250	+57
1228	cs3darknet_m.c2ns_in1k	256	37.133	62.867	53.777	46.223	9.31	0.950	bicubic	-55.647	-44.723	-22
1229	vit_small_patch16_224.augreg_in1k	224	37.130	62.870	51.603	48.397	22.05	0.900	bicubic	-56.330	-47.237	-127
1230	regnety_016.pycls_in1k	224	37.127	62.873	54.163	45.837	11.20	0.875	bicubic	-55.923	-44.527	-70
1231	lambda_resnet26rpt_256.c1_in1k	256	37.127	62.873	53.850	46.150	10.99	0.940	bicubic	-56.293	-45.030	-121
1232	eca_halonext26ts.c1_in1k	256	37.127	62.873	53.090	46.910	10.76	0.940	bicubic	-56.433	-45.600	-152
1233	bat_resnext26ts.ch_in1k	256	37.107	62.893	53.737	46.263	10.73	0.900	bicubic	-56.013	-45.013	-80
1234	tf_mixnet_l.in1k	224	37.057	62.943	52.760	47.240	7.33	0.875	bicubic	-55.993	-45.770	-72
1235	rexnet_100.nav_in1k	224	37.050	62.950	54.090	45.910	4.80	0.875	bicubic	-55.780	-44.550	-35
1236	mobileone_s1.apple_in1k	224	37.037	62.963	54.653	45.347	4.83	0.900	bilinear	-54.753	-43.797	+57
1237	tf_efficientnet_b1.in1k	240	37.033	62.967	53.457	46.543	7.79	0.882	bicubic	-55.907	-45.233	-54
1238	botnet26t_256.c1_in1k	256	36.980	63.020	53.090	46.910	12.49	0.950	bicubic	-56.430	-45.570	-122
1239	mobilenetv1_100h.ra4_e3600_r224_in1k	224	36.970	63.030	53.153	46.847	5.28	0.950	bicubic	-54.280	-44.677	+84
1240	resnet34.a2_in1k	288	36.967	63.033	51.520	48.480	21.80	1.000	bicubic	-55.603	-46.990	-8
1241	legacy_seresnet50.in1k	224	36.923	63.077	53.480	46.520	28.09	0.875	bilinear	-55.737	-45.050	-23
1242	tf_efficientnet_lite2.in1k	260	36.907	63.093	53.383	46.617	6.09	0.890	bicubic	-55.803	-45.237	-26
1243	ghostnetv2_130.in1k	224	36.870	63.130	54.220	45.780	8.96	0.875	bicubic	-55.400	-44.140	+20
1244	regnetx_016.pycls_in1k	224	36.847	63.153	53.400	46.600	9.19	0.875	bicubic	-55.773	-45.170	-20
1245	mobilenetv1_100h.ra4_e3600_r224_in1k	256	36.790	63.210	53.130	46.870	5.28	0.950	bicubic	-55.560	-45.130	+7
1246	halonet26t.a1h_in1k	256	36.783	63.217	52.233	47.767	12.48	0.950	bicubic	-56.827	-46.457	-182
1247	densenet121.tv_in1k	224	36.757	63.243	53.997	46.003	7.98	0.875	bicubic	-54.683	-44.243	+65
1248	mobilenetv2_120d.ra_in1k	224	36.727	63.273	53.953	46.047	5.83	0.875	bicubic	-55.933	-44.707	-29
1249	hardcorenas_a.miil_green_in1k	224	36.713	63.287	54.863	45.137	5.26	0.875	bilinear	-54.957	-43.397	+51
1250	eca_botnext26ts_256.c1_in1k	256	36.700	63.300	52.607	47.393	10.59	0.950	bicubic	-56.700	-46.143	-131
1251	repghostnet_150.in1k	224	36.693	63.307	54.193	45.807	6.58	0.875	bicubic	-55.727	-44.347	-4
1252	efficientnet_b0.ra_in1k	224	36.673	63.327	53.597	46.403	5.29	0.875	bicubic	-55.777	-45.093	-10
1253	tf_efficientnet_lite1.in1k	240	36.670	63.330	53.737	46.263	5.42	0.882	bicubic	-55.640	-44.783	+5
1254	convnext_atto.d2_in1k	224	36.627	63.373	53.440	46.560	3.70	0.950	bicubic	-55.263	-44.970	+32
1255	resnext50_32x4d.a3_in1k	224	36.620	63.380	51.210	48.790	25.03	0.950	bicubic	-56.930	-47.560	-176
1256	vit_base_patch32_224.sam_in1k	224	36.590	63.410	53.083	46.917	88.22	0.900	bicubic	-53.290	-44.807	+113
1257	efficientvit_m4.r224_in1k	224	36.587	63.413	53.290	46.710	8.80	0.875	bicubic	-54.163	-44.800	+88
1258	levit_128s.fb_dist_in1k	224	36.573	63.427	53.087	46.913	7.78	0.900	bicubic	-55.007	-45.333	+48
1259	levit_conv_128s.fb_dist_in1k	224	36.570	63.430	53.073	46.927	7.78	0.900	bicubic	-54.970	-45.357	+49
1260	xcit_nano_12_p8_224.fb_dist_in1k	224	36.530	63.470	52.887	47.113	3.05	1.000	bicubic	-55.860	-45.593	-12
1261	repvgg_a1.rvgg_in1k	224	36.527	63.473	53.813	46.187	14.09	0.875	bilinear	-54.633	-44.297	+67
1262	resnet34.a3_in1k	160	36.517	63.483	52.573	47.427	21.80	0.950	bicubic	-52.133	-44.797	+132
1263	tf_efficientnet_em.in1k	240	36.477	63.523	52.907	47.093	6.90	0.882	bicubic	-56.723	-45.773	-118
1264	mobilevitv2_100.cvnets_in1k	256	36.450	63.550	53.080	46.920	4.90	0.888	bicubic	-56.660	-45.680	-110
1265	cs3darknet_m.c2ns_in1k	288	36.433	63.567	53.240	46.760	9.31	0.950	bicubic	-56.807	-45.470	-127
1266	skresnet18.ra_in1k	224	36.333	63.667	54.257	45.743	11.96	0.875	bicubic	-53.837	-43.523	+99
1267	repvgg_b0.rvgg_in1k	224	36.323	63.677	54.080	45.920	15.82	0.875	bilinear	-55.387	-44.150	+27
1268	resnet34.bt_in1k	288	36.313	63.687	52.847	47.153	21.80	0.950	bicubic	-56.007	-45.483	-13
1269	resnet50d.a3_in1k	224	36.310	63.690	51.330	48.670	25.58	0.950	bicubic	-57.090	-47.260	-151
1270	mobilenetv1_100.ra4_e3600_r224_in1k	224	36.243	63.757	53.203	46.797	4.23	0.950	bicubic	-55.037	-44.937	+48
1271	convnext_atto_ols.a2_in1k	224	36.233	63.767	52.373	47.627	3.70	0.950	bicubic	-55.637	-45.987	+17
1272	xcit_nano_12_p16_384.fb_dist_in1k	384	36.193	63.807	53.193	46.807	3.05	1.000	bicubic	-55.947	-45.297	+1
1273	resnet50.tv_in1k	224	36.157	63.843	52.870	47.130	25.56	0.875	bilinear	-55.993	-45.430	-3
1274	legacy_seresnet34.in1k	224	36.157	63.843	52.563	47.437	21.96	0.875	bilinear	-55.303	-45.627	+38
1275	resnet34.tv_in1k	224	36.140	63.860	53.547	46.453	21.80	0.875	bilinear	-54.150	-44.423	+85
1276	efficientvit_m3.r224_in1k	224	36.137	63.863	52.550	47.450	6.90	0.875	bicubic	-53.923	-45.280	+90
1277	deit_tiny_distilled_patch16_224.fb_in1k	224	36.120	63.880	54.280	45.720	5.91	0.900	bicubic	-54.990	-43.890	+57
1278	coat_tiny.in1k	224	36.103	63.897	51.020	48.980	5.50	0.900	bicubic	-57.397	-47.660	-188
1279	seresnext26ts.ch_in1k	256	36.087	63.913	53.977	46.023	10.39	1.000	bicubic	-56.473	-44.553	-44
1280	resnet50.a3_in1k	224	36.050	63.950	50.647	49.353	25.56	0.950	bicubic	-56.920	-48.063	-105
1281	tf_efficientnet_lite0.in1k	224	36.033	63.967	53.487	46.513	4.65	0.875	bicubic	-55.327	-44.603	+34
1282	mobilenetv2_140.ra_in1k	224	36.010	63.990	53.977	46.023	6.11	0.875	bicubic	-56.070	-44.373	-4
1283	convnextv2_atto.fcmae_ft_in1k	288	36.000	64.000	51.140	48.860	3.71	0.950	bicubic	-56.910	-47.440	-94
1284	resnext26ts.ra2_in1k	256	35.847	64.153	53.660	46.340	10.30	1.000	bicubic	-56.143	-44.570	-3
1285	resnet34.gluon_in1k	224	35.830	64.170	52.370	47.630	21.80	0.875	bicubic	-55.280	-45.890	+50
1286	selecsls42b.in1k	224	35.823	64.177	52.557	47.443	32.46	0.875	bicubic	-56.657	-46.083	-46
1287	mobilenetv1_100.ra4_e3600_r224_in1k	256	35.787	64.213	52.617	47.383	4.23	0.950	bicubic	-56.293	-45.653	-10
1288	convnext_atto.d2_in1k	288	35.770	64.230	52.350	47.650	3.70	0.950	bicubic	-57.010	-46.250	-83
1289	xcit_nano_12_p8_384.fb_dist_in1k	384	35.760	64.240	52.313	47.687	3.05	1.000	bicubic	-57.620	-46.567	-167
1290	resnet26t.ra2_in1k	320	35.753	64.247	53.583	46.417	16.01	1.000	bicubic	-57.207	-45.267	-112
1291	seresnet50.a3_in1k	224	35.727	64.273	51.273	48.727	28.09	0.950	bicubic	-56.653	-47.057	-41
1292	seresnext26ts.ch_in1k	288	35.720	64.280	53.480	46.520	10.39	1.000	bicubic	-57.250	-45.010	-118
1293	efficientnet_lite0.ra_in1k	224	35.693	64.307	53.717	46.283	4.65	0.875	bicubic	-55.577	-44.233	+26
1294	mixnet_m.ft_in1k	224	35.657	64.343	52.450	47.550	5.01	0.875	bicubic	-56.603	-45.920	-30
1295	resnet18.fb_ssl_yfcc100m_ft_in1k	224	35.647	64.353	53.820	46.180	11.69	0.875	bilinear	-55.043	-44.220	+51
1296	dla34.in1k	224	35.647	64.353	52.837	47.163	15.74	0.875	bilinear	-55.613	-45.193	+26
1297	resnet18d.ra2_in1k	224	35.640	64.360	53.560	46.440	11.71	0.950	bicubic	-54.130	-44.220	+76
1298	mobilenetv3_rw.rmsp_in1k	224	35.633	64.367	53.780	46.220	5.48	0.875	bicubic	-55.917	-44.490	+9
1299	regnetx_008.tv2_in1k	224	35.557	64.443	51.503	48.497	7.26	0.965	bicubic	-56.903	-46.947	-58
1300	gcresnext26ts.ch_in1k	256	35.553	64.447	52.180	47.820	10.48	1.000	bicubic	-56.877	-46.290	-56
1301	convnext_atto_ols.a2_in1k	288	35.553	64.447	51.447	48.553	3.70	0.950	bicubic	-57.397	-47.133	-120
1302	eca_resnext26ts.ch_in1k	256	35.473	64.527	52.957	47.043	10.30	1.000	bicubic	-56.757	-45.713	-36
1303	efficientnet_es_pruned.in1k	224	35.397	64.603	52.883	47.117	5.44	0.875	bicubic	-56.313	-45.357	-7
1304	ese_vovnet19b_dw.ra_in1k	224	35.360	64.640	52.570	47.430	6.54	0.950	bicubic	-56.670	-45.860	-25
1305	repghostnet_130.in1k	224	35.323	64.677	52.740	47.260	5.48	0.875	bicubic	-56.607	-45.620	-20
1306	mobilenetv2_110d.ra_in1k	224	35.300	64.700	52.807	47.193	4.52	0.875	bicubic	-56.020	-45.343	+10
1307	seresnext26t_32x4d.bt_in1k	224	35.300	64.700	52.090	47.910	16.81	0.950	bicubic	-57.450	-46.540	-95
1308	tf_mixnet_m.in1k	224	35.247	64.753	51.013	48.987	5.01	0.875	bicubic	-56.973	-47.437	-40
1309	hrnet_w18_small_v2.ms_in1k	224	35.233	64.767	52.543	47.457	15.60	0.875	bilinear	-55.937	-45.827	+18
1310	xcit_nano_12_p16_224.fb_dist_in1k	224	35.210	64.790	52.607	47.393	3.05	1.000	bicubic	-55.000	-45.153	+53
1311	mobilenetv4_conv_small.e2400_r224_in1k	256	35.183	64.817	53.027	46.973	3.77	0.950	bicubic	-55.917	-45.023	+25
1312	convit_tiny.fb_in1k	224	35.097	64.903	51.810	48.190	5.71	0.875	bicubic	-55.483	-46.380	+39
1313	resnet34.a3_in1k	224	35.090	64.910	50.520	49.480	21.80	0.950	bicubic	-55.210	-47.370	+46
1314	mobilenetv4_conv_small.e2400_r224_in1k	224	35.060	64.940	52.743	47.257	3.77	0.950	bicubic	-55.340	-45.057	+42
1315	seresnext26d_32x4d.bt_in1k	224	35.060	64.940	51.693	48.307	16.81	0.950	bicubic	-57.240	-46.867	-57
1316	resnet18.a1_in1k	224	35.060	64.940	51.097	48.903	11.69	1.000	bicubic	-54.080	-46.233	+70
1317	gcresnext26ts.ch_in1k	288	35.013	64.987	51.460	48.540	10.48	1.000	bicubic	-57.797	-46.990	-115
1318	tinynet_b.in1k	188	35.003	64.997	52.107	47.893	3.73	0.875	bicubic	-56.127	-45.983	+14
1319	regnety_004.tv2_in1k	224	34.940	65.060	51.410	48.590	4.34	0.965	bicubic	-56.650	-46.890	-15
1320	eca_resnext26ts.ch_in1k	288	34.933	65.067	52.367	47.633	10.30	1.000	bicubic	-57.837	-46.343	-112
1321	resnet26d.bt_in1k	224	34.927	65.073	52.597	47.403	16.01	0.950	bicubic	-57.363	-45.903	-61
1322	regnety_008.pycls_in1k	224	34.883	65.117	51.887	48.113	6.26	0.875	bicubic	-56.997	-46.533	-35
1323	resnext26ts.ra2_in1k	288	34.780	65.220	52.823	47.177	10.30	1.000	bicubic	-57.650	-45.567	-78
1324	mobilenetv4_conv_small.e1200_r224_in1k	256	34.780	65.220	52.707	47.293	3.77	0.950	bicubic	-55.480	-45.383	+39
1325	mobilenetv3_large_100.ra_in1k	224	34.677	65.323	52.933	47.067	5.48	0.875	bicubic	-56.793	-45.387	-16
1326	crossvit_9_240.in1k	240	34.677	65.323	51.810	48.190	8.55	0.875	bicubic	-56.393	-46.500	+14
1327	tf_efficientnet_b0.in1k	224	34.667	65.333	51.160	48.840	5.29	0.875	bicubic	-57.603	-47.400	-65
1328	pit_ti_224.in1k	224	34.647	65.353	52.173	47.827	4.85	0.900	bicubic	-55.803	-45.837	+27
1329	mobilenetv4_conv_small.e1200_r224_in1k	224	34.443	65.557	52.423	47.577	3.77	0.950	bicubic	-55.387	-45.347	+41
1330	pvt_v2_b0.in1k	224	34.407	65.593	53.107	46.893	3.67	0.900	bicubic	-54.583	-44.573	+57
1331	mixer_b16_224.goog_in21k_ft_in1k	224	34.373	65.627	48.057	51.943	59.88	0.875	bicubic	-56.747	-49.353	+2
1332	resnet26.bt_in1k	224	34.357	65.643	51.767	48.233	16.00	0.950	bicubic	-57.153	-46.413	-23
1333	fbnetc_100.rmsp_in1k	224	34.337	65.663	51.490	48.510	5.57	0.875	bilinear	-56.913	-46.710	-9
1334	tf_efficientnet_es.in1k	224	34.300	65.700	51.507	48.493	5.44	0.875	bicubic	-57.800	-46.923	-58
1335	regnety_006.pycls_in1k	224	34.293	65.707	51.413	48.587	6.06	0.875	bicubic	-57.327	-47.017	-32
1336	resnet18d.ra2_in1k	288	34.240	65.760	51.740	48.260	11.71	0.950	bicubic	-56.530	-46.410	+6
1337	ghostnetv2_100.in1k	224	34.137	65.863	52.050	47.950	6.16	0.875	bicubic	-57.523	-46.010	-36
1338	repvgg_a0.rvgg_in1k	224	34.100	65.900	51.993	48.007	9.11	0.875	bilinear	-55.700	-45.787	+34
1339	resnet18.a1_in1k	288	34.050	65.950	49.517	50.483	11.69	1.000	bicubic	-56.140	-48.263	+25
1340	tf_mobilenetv3_large_100.in1k	224	33.990	66.010	51.563	48.437	5.48	0.875	bilinear	-57.420	-46.677	-27
1341	mnasnet_100.rmsp_in1k	224	33.873	66.127	51.227	48.773	4.38	0.875	bicubic	-57.387	-46.933	-19
1342	regnetx_004_tv.tv2_in1k	224	33.850	66.150	49.890	50.110	5.50	0.965	bicubic	-57.310	-48.300	-12
1343	repghostnet_111.in1k	224	33.800	66.200	51.553	48.447	4.54	0.875	bicubic	-57.300	-46.527	-6
1344	mobilevit_s.cvnets_in1k	256	33.793	66.207	49.457	50.543	5.58	0.900	bicubic	-59.437	-49.213	-205
1345	ese_vovnet19b_dw.ra_in1k	288	33.763	66.237	50.940	49.060	6.54	0.950	bicubic	-58.977	-47.710	-131
1346	regnetx_008.pycls_in1k	224	33.750	66.250	50.593	49.407	7.26	0.875	bicubic	-57.470	-47.787	-21
1347	lcnet_100.ra2_in1k	224	33.730	66.270	52.107	47.893	2.95	0.875	bicubic	-55.190	-45.263	+42
1348	semnasnet_075.rmsp_in1k	224	33.707	66.293	52.433	47.567	2.91	0.875	bicubic	-56.573	-45.497	+13
1349	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	384	33.680	66.320	50.713	49.287	6.36	1.000	bicubic	-58.030	-47.687	-54
1350	xcit_nano_12_p8_224.fb_in1k	224	33.623	66.377	50.430	49.570	3.05	1.000	bicubic	-57.567	-47.850	-24
1351	mixnet_s.ft_in1k	224	33.613	66.387	51.060	48.940	4.13	0.875	bicubic	-58.197	-47.280	-60
1352	semnasnet_100.rmsp_in1k	224	33.553	66.447	50.830	49.170	3.89	0.875	bicubic	-58.117	-47.330	-53
1353	vit_tiny_patch16_384.augreg_in21k_ft_in1k	384	33.533	66.467	50.990	49.010	5.79	1.000	bicubic	-59.957	-47.830	-260
1354	spnasnet_100.rmsp_in1k	224	33.503	66.497	51.287	48.713	4.42	0.875	bilinear	-57.167	-46.673	-6
1355	crossvit_tiny_240.in1k	240	33.437	66.563	49.937	50.063	7.01	0.875	bicubic	-57.093	-48.003	-3
1356	mobilevitv2_075.cvnets_in1k	256	33.423	66.577	50.133	49.867	2.87	0.888	bicubic	-58.567	-48.177	-76
1357	regnetx_006.pycls_in1k	224	33.313	66.687	50.303	49.697	6.20	0.875	bicubic	-57.437	-47.927	-11
1358	vgg19_bn.tv_in1k	224	33.307	66.693	50.877	49.123	143.68	0.875	bilinear	-57.673	-47.243	-17
1359	efficientvit_m2.r224_in1k	224	33.190	66.810	49.777	50.223	4.19	0.875	bicubic	-55.750	-47.573	+29
1360	resnet18.a2_in1k	224	33.173	66.827	49.617	50.383	11.69	1.000	bicubic	-54.717	-47.473	+42
1361	repghostnet_100.in1k	224	33.133	66.867	50.753	49.247	4.07	0.875	bicubic	-57.527	-47.357	-12
1362	edgenext_x_small.in1k	288	33.130	66.870	49.043	50.957	2.34	1.000	bicubic	-58.460	-49.147	-57
1363	seresnext26t_32x4d.bt_in1k	288	33.073	66.927	50.247	49.753	16.81	0.950	bicubic	-60.267	-48.453	-236
1364	xcit_nano_12_p16_224.fb_in1k	224	33.037	66.963	50.070	49.930	3.05	1.000	bicubic	-55.863	-47.370	+26
1365	resnet18.tv_in1k	224	33.023	66.977	51.143	48.857	11.69	0.875	bilinear	-55.177	-45.967	+35
1366	seresnext26d_32x4d.bt_in1k	288	32.990	67.010	49.877	50.123	16.81	0.950	bicubic	-60.070	-48.793	-210
1367	mobileone_s0.apple_in1k	224	32.983	67.017	51.093	48.907	5.29	0.875	bilinear	-55.797	-46.137	+24
1368	edgenext_x_small.in1k	256	32.983	67.017	48.857	51.143	2.34	1.000	bicubic	-58.107	-49.163	-29
1369	hrnet_w18_small.gluon_in1k	224	32.833	67.167	50.483	49.517	13.19	0.875	bicubic	-57.477	-47.277	-11
1370	legacy_seresnext26_32x4d.in1k	224	32.760	67.240	49.217	50.783	16.79	0.875	bicubic	-59.830	-49.213	-141
1371	hrnet_w18_small.ms_in1k	224	32.720	67.280	50.663	49.337	13.19	0.875	bilinear	-57.160	-46.937	-4
1372	deit_tiny_patch16_224.fb_in1k	224	32.707	67.293	50.253	49.747	5.72	0.900	bicubic	-56.933	-47.717	+3
1373	legacy_seresnet18.in1k	224	32.677	67.323	50.323	49.677	11.78	0.875	bicubic	-56.613	-47.397	+8
1374	mobilenetv2_100.ra_in1k	224	32.593	67.407	50.880	49.120	3.50	0.875	bicubic	-57.287	-46.960	-6
1375	ghostnet_100.in1k	224	32.583	67.417	50.407	49.593	5.18	0.875	bicubic	-57.887	-47.523	-22
1376	regnetx_004.pycls_in1k	224	32.583	67.417	49.393	50.607	5.16	0.875	bicubic	-56.907	-48.407	+2
1377	resnet26d.bt_in1k	288	32.500	67.500	50.080	49.920	16.01	0.950	bicubic	-60.090	-48.370	-149
1378	resnet18.gluon_in1k	224	32.423	67.577	49.727	50.273	11.69	0.875	bicubic	-56.267	-47.383	+15
1379	regnety_004.pycls_in1k	224	32.393	67.607	49.460	50.540	4.34	0.875	bicubic	-58.367	-48.610	-36
1380	tf_mixnet_s.in1k	224	32.207	67.793	48.590	51.410	4.13	0.875	bicubic	-59.503	-49.830	-82
1381	resnet18.a2_in1k	288	32.183	67.817	47.910	52.090	11.69	1.000	bicubic	-57.357	-49.750	-5
1382	vit_tiny_patch16_224.augreg_in21k_ft_in1k	224	32.140	67.860	49.097	50.903	5.72	0.900	bicubic	-59.810	-49.233	-99
1383	resnet26.bt_in1k	288	32.123	67.877	49.493	50.507	16.00	0.950	bicubic	-60.037	-49.057	-113
1384	tf_mobilenetv3_large_075.in1k	224	31.970	68.030	49.177	50.823	3.99	0.875	bilinear	-58.350	-48.673	-27
1385	tf_mobilenetv3_large_minimal_100.in1k	224	31.680	68.320	49.443	50.557	3.92	0.875	bilinear	-57.520	-47.847	-1
1386	resnet18.a3_in1k	160	31.577	68.423	48.373	51.627	11.69	0.950	bicubic	-53.463	-47.567	+34
1387	efficientvit_m1.r224_in1k	224	31.260	68.740	48.470	51.530	2.98	0.875	bicubic	-55.930	-48.230	+19
1388	repghostnet_080.in1k	224	30.977	69.023	48.833	51.167	3.28	0.875	bicubic	-58.493	-48.607	-10
1389	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	224	30.857	69.143	47.683	52.317	6.34	0.900	bicubic	-58.543	-50.017	-10
1390	tinynet_c.in1k	184	30.537	69.463	48.543	51.457	2.46	0.875	bicubic	-57.913	-48.727	+5
1391	lcnet_075.ra2_in1k	224	30.383	69.617	48.763	51.237	2.36	0.875	bicubic	-56.627	-47.787	+19
1392	vgg16_bn.tv_in1k	224	30.380	69.620	47.317	52.683	138.37	0.875	bilinear	-60.140	-50.683	-39
1393	efficientvit_b0.r224_in1k	224	30.123	69.877	46.730	53.270	3.41	0.950	bicubic	-58.147	-50.150	+5
1394	resnet18.a3_in1k	224	30.097	69.903	46.317	53.683	11.69	0.950	bicubic	-56.913	-50.363	+15
1395	resnet10t.c3_in1k	176	29.977	70.023	48.283	51.717	5.44	0.950	bicubic	-55.333	-47.727	+24
1396	edgenext_xx_small.in1k	288	29.743	70.257	46.500	53.500	1.33	1.000	bicubic	-60.067	-51.000	-25
1397	mobilevit_xs.cvnets_in1k	256	29.703	70.297	46.087	53.913	2.32	0.900	bicubic	-61.607	-52.183	-80
1398	regnety_002.pycls_in1k	224	29.683	70.317	46.823	53.177	3.16	0.875	bicubic	-58.517	-50.517	+1
1399	edgenext_xx_small.in1k	256	29.623	70.377	46.480	53.520	1.33	1.000	bicubic	-59.257	-50.700	-8
1400	mobilenetv3_small_100.lamb_in1k	224	29.070	70.930	47.283	52.717	2.54	0.875	bicubic	-57.120	-49.177	+13
1401	resnet14t.c3_in1k	176	29.020	70.980	46.620	53.380	10.08	0.950	bicubic	-59.380	-50.390	-4
1402	mnasnet_small.lamb_in1k	224	28.990	71.010	47.213	52.787	2.03	0.875	bicubic	-56.500	-48.757	+14
1403	vgg13_bn.tv_in1k	224	28.963	71.037	46.820	53.180	133.05	0.875	bilinear	-60.267	-50.700	-20
1404	resnet10t.c3_in1k	224	28.907	71.093	46.967	53.033	5.44	0.950	bicubic	-57.803	-49.763	+8
1405	regnetx_002.pycls_in1k	224	28.863	71.137	45.600	54.400	2.68	0.875	bicubic	-58.477	-51.530	0
1406	efficientvit_m0.r224_in1k	224	28.803	71.197	45.793	54.207	2.35	0.875	bicubic	-54.537	-49.837	+19
1407	mobilenetv2_050.lamb_in1k	224	28.710	71.290	46.600	53.400	1.97	0.875	bicubic	-56.280	-49.020	+14
1408	vgg19.tv_in1k	224	28.700	71.300	45.277	54.723	143.67	0.875	bilinear	-61.000	-52.253	-34
1409	mobilevitv2_050.cvnets_in1k	256	28.607	71.393	45.287	54.713	1.37	0.888	bicubic	-60.473	-52.313	-23
1410	dla60x_c.in1k	224	28.507	71.493	46.253	53.747	1.32	0.875	bilinear	-58.593	-50.887	-2
1411	repghostnet_058.in1k	224	28.493	71.507	46.607	53.393	2.55	0.875	bicubic	-58.697	-50.403	-4
1412	vgg11_bn.tv_in1k	224	28.443	71.557	46.477	53.523	132.87	0.875	bilinear	-59.967	-50.803	-16
1413	tinynet_d.in1k	152	27.993	72.007	45.950	54.050	2.34	0.875	bicubic	-57.477	-50.070	+4
1414	vgg16.tv_in1k	224	27.970	72.030	44.750	55.250	138.36	0.875	bilinear	-61.430	-52.750	-34
1415	resnet14t.c3_in1k	224	27.647	72.353	44.713	55.287	10.08	0.950	bicubic	-61.593	-52.737	-33
1416	tf_mobilenetv3_small_100.in1k	224	27.553	72.447	44.903	55.097	2.54	0.875	bilinear	-58.477	-51.487	-2
1417	repghostnet_050.in1k	224	27.140	72.860	45.047	54.953	2.31	0.875	bicubic	-58.420	-51.063	-2
1418	mixer_l16_224.goog_in21k_ft_in1k	224	26.777	73.223	37.857	62.143	208.20	0.875	bicubic	-60.223	-56.163	-7
1419	vgg11.tv_in1k	224	26.640	73.360	43.533	56.467	132.86	0.875	bilinear	-60.700	-53.447	-15
1420	mobilenetv3_small_075.lamb_in1k	224	26.577	73.423	43.923	56.077	2.04	0.875	bicubic	-57.563	-51.567	+4
1421	mobilevit_xxs.cvnets_in1k	256	26.410	73.590	43.063	56.937	1.27	0.900	bicubic	-61.570	-54.127	-20
1422	dla46x_c.in1k	224	26.403	73.597	43.907	56.093	1.07	0.875	bilinear	-59.057	-52.553	-4
1423	vgg13.tv_in1k	224	26.313	73.687	43.457	56.543	133.05	0.875	bilinear	-61.237	-53.663	-20
1424	tf_mobilenetv3_small_075.in1k	224	26.273	73.727	43.770	56.230	2.04	0.875	bilinear	-58.237	-52.000	-1
1425	lcnet_050.ra2_in1k	224	26.220	73.780	44.580	55.420	1.88	0.875	bicubic	-56.910	-50.370	+1
1426	tf_mobilenetv3_small_minimal_100.in1k	224	25.797	74.203	43.627	56.373	2.04	0.875	bilinear	-56.843	-51.363	+1
1427	dla46_c.in1k	224	25.540	74.460	43.877	56.123	1.30	0.875	bilinear	-59.180	-52.333	-5
1428	tinynet_e.in1k	106	23.473	76.527	41.177	58.823	2.04	0.875	bicubic	-56.327	-52.813	0
1429	mobilenetv3_small_050.lamb_in1k	224	21.793	78.207	38.933	61.067	1.59	0.875	bicubic	-56.297	-54.107	0
1430	test_byobnet.r160_in1k	160	17.103	82.897	33.957	66.043	0.46	0.875	bicubic	-50.257	-54.433	+1
1431	test_efficientnet.r160_in1k	160	16.507	83.493	32.900	67.100	0.36	0.875	bicubic	-51.193	-55.500	-1
1432	test_vit.r160_in1k	160	13.243	86.757	27.813	72.187	0.37	0.875	bicubic	-50.747	-59.807	0