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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	crop_pct	interpolation	top1_diff	top5_diff	rank_diff
2	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	88.227	11.773	97.093	2.907	305.08	448	1.000	bicubic	-10.623	-2.787	+1
3	eva02_large_patch14_448.mim_in22k_ft_in22k_in1k	87.920	12.080	96.920	3.080	305.08	448	1.000	bicubic	-11.010	-2.990	-1
4	eva_giant_patch14_560.m30m_ft_in22k_in1k	87.573	12.427	96.893	3.107	1,014.45	560	1.000	bicubic	-11.257	-3.007	+1
5	eva02_large_patch14_448.mim_m38m_ft_in1k	87.107	12.893	96.280	3.720	305.08	448	1.000	bicubic	-11.623	-3.590	+5
6	eva02_large_patch14_448.mim_in22k_ft_in1k	86.227	13.773	95.787	4.213	305.08	448	1.000	bicubic	-12.613	-4.043	-2
7	eva_giant_patch14_336.clip_ft_in1k	85.307	14.693	95.720	4.280	1,013.01	336	1.000	bicubic	-13.513	-4.090	-1
8	eva_giant_patch14_336.m30m_ft_in22k_in1k	85.147	14.853	96.360	3.640	1,013.01	336	1.000	bicubic	-13.663	-3.540	-1
9	tf_efficientnet_l2.ns_jft_in1k	84.747	15.253	96.147	3.853	480.31	800	0.960	bicubic	-13.803	-3.673	+9
10	regnety_1280.swag_ft_in1k	83.907	16.093	96.200	3.800	644.81	384	1.000	bicubic	-14.543	-3.610	+18
11	eva_large_patch14_336.in22k_ft_in22k_in1k	83.840	16.160	95.333	4.667	304.53	336	1.000	bicubic	-14.900	-4.477	-3
12	convnextv2_huge.fcmae_ft_in22k_in1k_512	83.827	16.173	96.173	3.827	660.29	512	1.000	bicubic	-14.773	-3.697	+4
13	maxvit_xlarge_tf_512.in21k_ft_in1k	83.400	16.600	95.520	4.480	475.77	512	1.000	bicubic	-15.220	-4.270	+1
14	tf_efficientnet_l2.ns_jft_in1k_475	83.387	16.613	95.453	4.547	480.31	475	0.936	bicubic	-15.113	-4.327	+8
15	eva_large_patch14_336.in22k_ft_in1k	82.760	17.240	95.507	4.493	304.53	336	1.000	bicubic	-15.970	-4.283	-6
16	maxvit_large_tf_512.in21k_ft_in1k	81.733	18.267	95.027	4.973	212.33	512	1.000	bicubic	-16.887	-4.773	-1
17	beit_large_patch16_512.in22k_ft_in22k_in1k	81.600	18.400	94.880	5.120	305.67	512	1.000	bicubic	-16.960	-4.960	0
18	maxvit_base_tf_512.in21k_ft_in1k	81.360	18.640	94.467	5.533	119.88	512	1.000	bicubic	-17.260	-5.333	-5
19	eva_giant_patch14_224.clip_ft_in1k	81.213	18.787	94.333	5.667	1,012.56	224	0.900	bicubic	-17.247	-5.417	+8
20	maxvit_xlarge_tf_384.in21k_ft_in1k	81.080	18.920	94.640	5.360	475.32	384	1.000	bicubic	-17.420	-5.190	+3
21	convnextv2_huge.fcmae_ft_in22k_in1k_384	79.893	20.107	94.640	5.360	660.29	384	1.000	bicubic	-18.777	-5.220	-10
22	deit3_large_patch16_384.fb_in22k_ft_in1k	79.187	20.813	93.613	6.387	304.76	384	1.000	bicubic	-19.273	-6.147	+4
23	beit_large_patch16_384.in22k_ft_in22k_in1k	79.107	20.893	94.267	5.733	305.00	384	1.000	bicubic	-19.413	-5.553	-3
24	caformer_b36.sail_in22k_ft_in1k_384	78.360	21.640	93.453	6.547	98.75	384	1.000	bicubic	-20.090	-6.417	+5
25	maxvit_large_tf_384.in21k_ft_in1k	78.013	21.987	93.267	6.733	212.03	384	1.000	bicubic	-20.477	-6.483	-1
26	eva02_base_patch14_448.mim_in22k_ft_in1k	77.560	22.440	93.120	6.880	87.12	448	1.000	bicubic	-20.880	-6.680	+4
27	vit_large_patch14_clip_336.openai_ft_in12k_in1k	77.333	22.667	93.613	6.387	304.53	336	1.000	bicubic	-20.937	-6.157	+14
28	convnext_xxlarge.clip_laion2b_soup_ft_in1k	77.120	22.880	94.320	5.680	846.47	256	1.000	bicubic	-21.320	-5.500	+3
29	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	76.893	23.107	92.707	7.293	87.12	448	1.000	bicubic	-21.747	-7.093	-17
30	maxvit_base_tf_384.in21k_ft_in1k	76.853	23.147	92.600	7.400	119.65	384	1.000	bicubic	-21.667	-7.150	-9
31	beitv2_large_patch16_224.in1k_ft_in22k_in1k	76.773	23.227	93.173	6.827	304.43	224	0.950	bicubic	-21.767	-6.587	-12
32	eva_large_patch14_196.in22k_ft_in22k_in1k	75.533	24.467	91.760	8.240	304.14	196	1.000	bicubic	-22.897	-8.010	0
33	regnety_1280.swag_lc_in1k	74.587	25.413	91.680	8.320	644.81	224	0.965	bicubic	-23.063	-7.890	+77
34	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	74.267	25.733	90.827	9.173	116.14	384	1.000	bicubic	-23.903	-8.933	+18
35	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	74.240	25.760	92.253	7.747	632.46	336	1.000	bicubic	-24.180	-7.557	-1
36	regnety_320.swag_ft_in1k	74.200	25.800	92.960	7.040	145.05	384	1.000	bicubic	-23.860	-6.800	+29
37	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	73.933	26.067	91.733	8.267	196.74	384	1.000	bicubic	-24.197	-7.977	+20
38	eva_large_patch14_196.in22k_ft_in1k	73.133	26.867	91.427	8.573	304.14	196	1.000	bicubic	-25.227	-8.393	-2
39	caformer_m36.sail_in22k_ft_in1k_384	72.973	27.027	90.600	9.400	56.20	384	1.000	bicubic	-25.177	-9.150	+17
40	vit_large_patch14_clip_224.openai_ft_in12k_in1k	72.293	27.707	90.880	9.120	304.20	224	1.000	bicubic	-25.927	-8.840	+7
41	convnextv2_large.fcmae_ft_in22k_in1k_384	72.067	27.933	91.013	8.987	197.96	384	1.000	bicubic	-26.333	-8.747	-6
42	vit_large_patch14_clip_224.openai_ft_in1k	71.813	28.187	91.453	8.547	304.20	224	1.000	bicubic	-26.357	-8.207	+12
43	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	71.800	28.200	90.227	9.773	304.53	336	1.000	bicubic	-26.540	-9.533	-5
44	convformer_b36.sail_in22k_ft_in1k_384	71.547	28.453	90.240	9.760	99.88	384	1.000	bicubic	-26.713	-9.590	-2
45	vit_large_patch16_384.augreg_in21k_ft_in1k	71.227	28.773	89.773	10.227	304.72	384	1.000	bicubic	-26.993	-9.947	+1
46	deit3_base_patch16_384.fb_in22k_ft_in1k	71.213	28.787	89.933	10.067	86.88	384	1.000	bicubic	-26.627	-9.737	+41
47	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	71.200	28.800	91.320	8.680	87.92	384	1.000	bicubic	-26.920	-8.420	+11
48	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	70.720	29.280	90.547	9.453	200.13	384	1.000	bicubic	-27.760	-9.233	-23
49	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	70.680	29.320	90.400	9.600	632.05	224	1.000	bicubic	-27.620	-9.360	-10
50	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	70.600	29.400	89.227	10.773	73.88	384	1.000	bicubic	-27.470	-10.533	+14
51	caformer_s36.sail_in22k_ft_in1k_384	70.333	29.667	90.067	9.933	39.30	384	1.000	bicubic	-27.637	-9.653	+21
52	deit3_huge_patch14_224.fb_in22k_ft_in1k	70.253	29.747	90.707	9.293	632.13	224	1.000	bicubic	-27.917	-9.053	+1
53	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	69.880	30.120	90.493	9.507	200.13	320	1.000	bicubic	-28.400	-9.277	-13
54	swin_large_patch4_window12_384.ms_in22k_ft_in1k	69.640	30.360	89.547	10.453	196.74	384	1.000	bicubic	-28.410	-10.143	+13
55	volo_d5_512.sail_in1k	69.587	30.413	90.427	9.573	296.09	512	1.150	bicubic	-28.183	-9.243	+44
56	convnext_xlarge.fb_in22k_ft_in1k_384	69.320	30.680	89.307	10.693	350.20	384	1.000	bicubic	-29.100	-10.503	-23
57	caformer_b36.sail_in22k_ft_in1k	69.133	30.867	89.600	10.400	98.75	224	1.000	bicubic	-29.027	-10.180	-2
58	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	69.067	30.933	89.880	10.120	116.09	384	1.000	bicubic	-29.193	-9.900	-15
59	deit3_large_patch16_224.fb_in22k_ft_in1k	68.693	31.307	89.973	10.027	304.37	224	1.000	bicubic	-29.477	-9.757	-8
60	beit_large_patch16_224.in22k_ft_in22k_in1k	68.467	31.533	89.573	10.427	304.43	224	0.900	bicubic	-29.713	-10.187	-10
61	regnety_160.swag_ft_in1k	68.093	31.907	90.720	9.280	83.59	384	1.000	bicubic	-29.687	-8.880	+34
62	convnextv2_large.fcmae_ft_in22k_in1k	68.093	31.907	89.720	10.280	197.96	288	1.000	bicubic	-29.997	-10.050	0
63	volo_d5_448.sail_in1k	68.080	31.920	89.720	10.280	295.91	448	1.150	bicubic	-29.670	-9.830	+38
64	maxvit_base_tf_512.in1k	67.933	32.067	88.493	11.507	119.88	512	1.000	bicubic	-29.797	-11.117	+39
65	maxvit_large_tf_512.in1k	67.880	32.120	87.653	12.347	212.33	512	1.000	bicubic	-29.950	-11.907	+25
66	tf_efficientnetv2_xl.in21k_ft_in1k	67.800	32.200	87.347	12.653	208.12	512	1.000	bicubic	-30.100	-12.223	+15
67	beitv2_large_patch16_224.in1k_ft_in1k	67.640	32.360	88.667	11.333	304.43	224	0.950	bicubic	-30.270	-10.993	+10
68	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	67.320	32.680	88.000	12.000	196.74	256	0.900	bicubic	-30.530	-11.640	+17
69	vit_large_patch14_clip_336.laion2b_ft_in1k	67.093	32.907	89.493	10.507	304.53	336	1.000	bicubic	-31.127	-10.307	-21
70	tf_efficientnet_b7.ns_jft_in1k	67.027	32.973	88.667	11.333	66.35	600	0.949	bicubic	-30.893	-11.053	+6
71	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	67.013	32.987	87.973	12.027	304.20	224	1.000	bicubic	-31.057	-11.747	-8
72	convnext_xlarge.fb_in22k_ft_in1k	66.960	33.040	88.947	11.053	350.20	288	1.000	bicubic	-31.150	-10.833	-12
73	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	66.880	33.120	89.280	10.720	200.13	384	1.000	bicubic	-31.370	-10.480	-29
74	convformer_m36.sail_in22k_ft_in1k_384	66.840	33.160	87.813	12.187	57.05	384	1.000	bicubic	-31.200	-11.937	-5
75	convnextv2_base.fcmae_ft_in22k_in1k_384	66.787	33.213	88.893	11.107	88.72	384	1.000	bicubic	-31.563	-10.877	-38
76	volo_d4_448.sail_in1k	66.667	33.333	88.987	11.013	193.41	448	1.150	bicubic	-31.003	-10.623	+31
77	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	65.987	34.013	87.880	12.120	93.59	320	1.000	bicubic	-31.983	-11.820	-4
78	beit_base_patch16_384.in22k_ft_in22k_in1k	65.920	34.080	88.507	11.493	86.74	384	1.000	bicubic	-31.900	-11.193	+13
79	regnety_320.swag_lc_in1k	65.587	34.413	88.080	11.920	145.05	224	0.965	bicubic	-31.573	-11.590	+105
80	convnext_large.fb_in22k_ft_in1k_384	65.533	34.467	87.467	12.533	197.77	384	1.000	bicubic	-32.707	-12.283	-35
81	vit_huge_patch14_clip_224.laion2b_ft_in1k	65.493	34.507	87.720	12.280	632.05	224	1.000	bicubic	-32.527	-12.000	-11
82	volo_d3_448.sail_in1k	65.400	34.600	87.573	12.427	86.63	448	1.000	bicubic	-32.150	-11.987	+43
83	convnext_large.fb_in22k_ft_in1k	65.000	35.000	87.947	12.053	197.77	288	1.000	bicubic	-33.120	-11.833	-24
84	tf_efficientnetv2_l.in21k_ft_in1k	64.947	35.053	87.840	12.160	118.52	480	1.000	bicubic	-32.853	-11.820	+10
85	swin_base_patch4_window12_384.ms_in22k_ft_in1k	64.467	35.533	87.520	12.480	87.90	384	1.000	bicubic	-33.433	-12.150	-6
86	convnextv2_huge.fcmae_ft_in1k	64.440	35.560	87.080	12.920	660.29	288	1.000	bicubic	-33.460	-12.630	-6
87	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	64.187	35.813	85.520	14.480	116.14	224	0.950	bicubic	-33.623	-14.130	+6
88	vit_base_patch16_384.augreg_in21k_ft_in1k	63.693	36.307	86.693	13.307	86.86	384	1.000	bicubic	-34.147	-12.977	+1
89	maxvit_large_tf_384.in1k	63.507	36.493	85.107	14.893	212.03	384	1.000	bicubic	-34.063	-14.563	+35
90	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	63.307	36.693	87.507	12.493	87.92	256	0.900	bicubic	-34.353	-12.103	+18
91	convnextv2_base.fcmae_ft_in22k_in1k	62.893	37.107	87.667	12.333	88.72	288	1.000	bicubic	-35.167	-12.193	-25
92	maxvit_small_tf_512.in1k	62.853	37.147	86.307	13.693	69.13	512	1.000	bicubic	-34.897	-13.313	+10
93	maxvit_base_tf_384.in1k	62.613	37.387	85.187	14.813	119.65	384	1.000	bicubic	-34.957	-14.343	+30
94	convformer_b36.sail_in22k_ft_in1k	62.600	37.400	85.467	14.533	99.88	224	1.000	bicubic	-35.340	-14.293	-19
95	cait_m48_448.fb_dist_in1k	62.373	37.627	86.453	13.547	356.46	448	1.000	bicubic	-35.107	-13.147	+41
96	convnext_base.fb_in22k_ft_in1k_384	62.360	37.640	86.240	13.760	88.59	384	1.000	bicubic	-35.720	-13.410	-34
97	tf_efficientnet_b6.ns_jft_in1k	62.227	37.773	85.160	14.840	43.04	528	0.942	bicubic	-35.393	-14.390	+18
98	caformer_b36.sail_in1k_384	62.160	37.840	84.493	15.507	98.75	384	1.000	bicubic	-35.340	-15.147	+35
99	vit_base_patch8_224.augreg2_in21k_ft_in1k	62.027	37.973	85.840	14.160	86.58	224	0.900	bicubic	-35.663	-13.810	+7
100	convformer_s36.sail_in22k_ft_in1k_384	61.920	38.080	85.960	14.040	40.01	384	1.000	bicubic	-35.930	-13.690	-14
101	beitv2_base_patch16_224.in1k_ft_in22k_in1k	61.667	38.333	85.480	14.520	86.53	224	0.900	bicubic	-36.023	-14.200	+4
102	vit_large_r50_s32_384.augreg_in21k_ft_in1k	61.493	38.507	84.027	15.973	329.09	384	1.000	bicubic	-36.367	-15.643	-18
103	seresnextaa101d_32x8d.sw_in12k_ft_in1k	61.080	38.920	85.920	14.080	93.59	288	1.000	bicubic	-36.830	-13.740	-26
104	caformer_m36.sail_in22k_ft_in1k	61.080	38.920	84.893	15.107	56.20	224	1.000	bicubic	-36.760	-14.787	-15
105	swin_large_patch4_window7_224.ms_in22k_ft_in1k	61.000	39.000	85.867	14.133	196.53	224	0.900	bicubic	-36.650	-13.703	+7
106	convnext_base.fb_in22k_ft_in1k	60.893	39.107	86.147	13.853	88.59	288	1.000	bicubic	-36.967	-13.533	-23
107	resnetv2_152x4_bit.goog_in21k_ft_in1k	60.773	39.227	83.560	16.440	936.53	480	1.000	bilinear	-36.717	-16.050	+27
108	convnext_small.in12k_ft_in1k_384	60.733	39.267	84.960	15.040	50.22	384	1.000	bicubic	-37.067	-14.810	-13
109	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	60.547	39.453	86.293	13.707	200.13	256	1.000	bicubic	-37.403	-13.417	-35
110	deit3_large_patch16_384.fb_in1k	60.533	39.467	85.720	14.280	304.76	384	1.000	bicubic	-36.887	-13.850	+34
111	caformer_m36.sail_in1k_384	60.533	39.467	84.760	15.240	56.20	384	1.000	bicubic	-36.907	-14.880	+33
112	tf_efficientnet_b5.ns_jft_in1k	60.320	39.680	84.453	15.547	30.39	456	0.934	bicubic	-37.180	-15.127	+20
113	vit_base_patch16_clip_384.openai_ft_in12k_in1k	60.240	39.760	84.613	15.387	86.86	384	0.950	bicubic	-37.950	-15.047	-64
114	regnety_160.swag_lc_in1k	60.133	39.867	85.773	14.227	83.59	224	0.965	bicubic	-36.687	-13.877	+127
115	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	59.973	40.027	83.760	16.240	73.88	224	0.950	bicubic	-37.677	-15.880	-4
116	vit_large_patch14_clip_224.laion2b_ft_in1k	59.947	40.053	85.667	14.333	304.20	224	1.000	bicubic	-37.943	-13.983	-34
117	xcit_large_24_p8_384.fb_dist_in1k	59.947	40.053	85.467	14.533	188.93	384	1.000	bicubic	-37.573	-14.073	+13
118	coatnet_2_rw_224.sw_in12k_ft_in1k	59.520	40.480	84.227	15.773	73.87	224	0.950	bicubic	-38.000	-15.373	+11
119	tf_efficientnetv2_m.in21k_ft_in1k	59.413	40.587	84.560	15.440	54.14	480	1.000	bicubic	-38.407	-15.040	-27
120	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	59.160	40.840	84.480	15.520	116.09	224	0.950	bicubic	-38.600	-15.220	-20
121	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	59.147	40.853	83.280	16.720	86.86	384	1.000	bicubic	-38.843	-16.380	-50
122	vit_base_patch8_224.augreg_in21k_ft_in1k	58.973	41.027	82.733	17.267	86.58	224	0.900	bicubic	-38.597	-16.857	0
123	maxvit_tiny_tf_512.in1k	58.800	41.200	84.573	15.427	31.05	512	1.000	bicubic	-38.780	-14.987	-2
124	caformer_s18.sail_in22k_ft_in1k_384	58.640	41.360	85.347	14.653	26.34	384	1.000	bicubic	-38.780	-14.273	+22
125	volo_d2_384.sail_in1k	58.600	41.400	84.253	15.747	58.87	384	1.000	bicubic	-38.720	-15.347	+34
126	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	58.253	41.747	85.480	14.520	88.59	384	1.000	bicubic	-39.787	-14.210	-58
127	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	58.040	41.960	80.640	19.360	468.53	224	0.875	bilinear	-39.330	-19.040	+26
128	cait_m36_384.fb_dist_in1k	57.853	42.147	84.840	15.160	271.22	384	1.000	bicubic	-39.547	-14.670	+22
129	dm_nfnet_f5.dm_in1k	57.640	42.360	82.280	17.720	377.21	544	0.954	bicubic	-40.140	-17.480	-31
130	dm_nfnet_f6.dm_in1k	57.560	42.440	82.360	17.640	438.36	576	0.956	bicubic	-40.220	-17.290	-33
131	caformer_s36.sail_in1k_384	57.347	42.653	82.787	17.213	39.30	384	1.000	bicubic	-40.043	-16.753	+20
132	deit3_base_patch16_224.fb_in22k_ft_in1k	57.267	42.733	83.520	16.480	86.59	224	1.000	bicubic	-40.213	-16.030	+3
133	volo_d5_224.sail_in1k	57.107	42.893	82.733	17.267	295.46	224	0.960	bicubic	-40.273	-16.837	+19
134	deit3_small_patch16_384.fb_in22k_ft_in1k	57.093	42.907	83.080	16.920	22.21	384	1.000	bicubic	-40.037	-16.420	+54
135	convnext_base.clip_laiona_augreg_ft_in1k_384	57.080	42.920	84.773	15.227	88.59	384	1.000	bicubic	-40.540	-14.807	-19
136	convnextv2_large.fcmae_ft_in1k	56.880	43.120	83.467	16.533	197.96	288	1.000	bicubic	-40.780	-16.253	-27
137	regnety_160.lion_in12k_ft_in1k	56.733	43.267	83.440	16.560	83.59	288	1.000	bicubic	-40.717	-16.160	+2
138	dm_nfnet_f4.dm_in1k	56.707	43.293	81.760	18.240	316.07	512	0.951	bicubic	-40.933	-17.780	-25
139	xcit_medium_24_p8_384.fb_dist_in1k	56.693	43.307	83.453	16.547	84.32	384	1.000	bicubic	-40.587	-16.067	+27
140	maxvit_small_tf_384.in1k	56.587	43.413	82.280	17.720	69.02	384	1.000	bicubic	-40.843	-17.230	+4
141	regnety_160.sw_in12k_ft_in1k	56.253	43.747	82.853	17.147	83.59	288	1.000	bicubic	-41.197	-16.737	-1
142	convformer_m36.sail_in22k_ft_in1k	55.867	44.133	81.813	18.187	57.05	224	1.000	bicubic	-41.733	-17.807	-23
143	caformer_s36.sail_in22k_ft_in1k	55.813	44.187	82.120	17.880	39.30	224	1.000	bicubic	-41.787	-17.600	-23
144	vit_large_patch16_224.augreg_in21k_ft_in1k	55.560	44.440	80.080	19.920	304.33	224	0.900	bicubic	-42.070	-19.510	-30
145	convformer_b36.sail_in1k_384	55.453	44.547	81.293	18.707	99.88	384	1.000	bicubic	-42.077	-18.227	-18
146	vit_base_patch16_clip_384.openai_ft_in1k	54.973	45.027	82.587	17.413	86.86	384	1.000	bicubic	-42.567	-17.073	-20
147	vit_base_r50_s16_384.orig_in21k_ft_in1k	54.627	45.373	81.213	18.787	98.95	384	1.000	bicubic	-42.563	-18.327	+34
148	cait_s36_384.fb_dist_in1k	54.360	45.640	81.373	18.627	68.37	384	1.000	bicubic	-42.970	-18.167	+10
149	volo_d1_384.sail_in1k	54.333	45.667	81.000	19.000	26.78	384	1.000	bicubic	-42.577	-18.460	+79
150	deit3_huge_patch14_224.fb_in1k	54.320	45.680	82.093	17.907	632.13	224	0.900	bicubic	-42.580	-17.127	+80
151	xcit_small_24_p8_384.fb_dist_in1k	54.253	45.747	81.547	18.453	47.63	384	1.000	bicubic	-42.987	-18.003	+19
152	vit_base_patch16_clip_384.laion2b_ft_in1k	54.253	45.747	80.880	19.120	86.86	384	1.000	bicubic	-43.467	-18.750	-47
153	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	54.187	45.813	81.640	18.360	39.03	384	0.950	bicubic	-43.253	-17.960	-11
154	resnetv2_101x3_bit.goog_in21k_ft_in1k	54.027	45.973	81.027	18.973	387.93	448	1.000	bilinear	-42.953	-18.463	+62
155	resnetv2_152x2_bit.goog_in21k_ft_in1k	54.013	45.987	82.000	18.000	236.34	448	1.000	bilinear	-42.987	-17.590	+57
156	beitv2_base_patch16_224.in1k_ft_in1k	53.813	46.187	81.853	18.147	86.53	224	0.900	bicubic	-43.357	-17.617	+27
157	dm_nfnet_f3.dm_in1k	53.773	46.227	79.840	20.160	254.92	416	0.940	bicubic	-43.697	-19.720	-20
158	convformer_m36.sail_in1k_384	53.547	46.453	80.733	19.267	57.05	384	1.000	bicubic	-43.863	-18.867	-9
159	deit3_base_patch16_384.fb_in1k	53.413	46.587	80.533	19.467	86.88	384	1.000	bicubic	-43.617	-18.857	+50
160	convnext_small.in12k_ft_in1k	53.240	46.760	81.400	18.600	50.22	288	1.000	bicubic	-44.110	-18.180	-4
161	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	53.067	46.933	76.907	23.093	194.03	224	0.875	bilinear	-43.743	-22.693	+81
162	volo_d4_224.sail_in1k	52.987	47.013	80.427	19.573	192.96	224	0.960	bicubic	-44.293	-19.113	+3
163	xcit_large_24_p16_384.fb_dist_in1k	52.853	47.147	81.827	18.173	189.10	384	1.000	bicubic	-44.667	-17.653	-32
164	convnext_small.fb_in22k_ft_in1k_384	52.427	47.573	80.813	19.187	50.22	384	1.000	bicubic	-45.183	-18.787	-47
165	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	52.320	47.680	82.480	17.520	88.59	256	1.000	bicubic	-45.280	-17.130	-47
166	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	52.320	47.680	79.733	20.267	88.34	448	1.000	bicubic	-44.990	-19.747	-5
167	maxvit_tiny_tf_384.in1k	52.080	47.920	79.813	20.187	30.98	384	1.000	bicubic	-45.230	-19.687	-7
168	regnety_120.sw_in12k_ft_in1k	51.813	48.187	80.787	19.213	51.82	288	1.000	bicubic	-45.467	-18.743	-4
169	swin_base_patch4_window7_224.ms_in22k_ft_in1k	51.440	48.560	80.080	19.920	87.77	224	0.900	bicubic	-45.840	-19.510	-6
170	tf_efficientnet_b4.ns_jft_in1k	51.267	48.733	79.173	20.827	19.34	380	0.922	bicubic	-45.683	-20.087	+51
171	efficientnet_b5.sw_in12k_ft_in1k	51.227	48.773	78.880	21.120	30.39	448	1.000	bicubic	-46.183	-20.670	-23
172	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	51.213	48.787	78.240	21.760	88.79	224	0.875	bilinear	-45.997	-21.330	+5
173	flexivit_large.1200ep_in1k	51.200	48.800	80.640	19.360	304.36	240	0.950	bicubic	-46.210	-18.830	-27
174	eva02_small_patch14_336.mim_in22k_ft_in1k	51.200	48.800	79.120	20.880	22.13	336	1.000	bicubic	-45.940	-20.350	+14
175	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	51.120	48.880	78.533	21.467	236.34	384	1.000	bicubic	-45.710	-20.877	+64
176	convnext_small.fb_in22k_ft_in1k	51.067	48.933	80.920	19.080	50.22	288	1.000	bicubic	-46.293	-18.610	-22
177	mvitv2_large.fb_in1k	50.867	49.133	78.493	21.507	217.99	224	0.900	bicubic	-46.063	-20.907	+48
178	beit_base_patch16_224.in22k_ft_in22k_in1k	50.720	49.280	79.733	20.267	86.53	224	0.900	bicubic	-46.360	-19.877	+18
179	tf_efficientnetv2_l.in1k	50.693	49.307	77.613	22.387	118.52	480	1.000	bicubic	-46.777	-21.917	-41
180	vit_base_patch16_384.orig_in21k_ft_in1k	50.640	49.360	78.200	21.800	86.86	384	1.000	bicubic	-46.080	-21.280	+75
181	xcit_small_12_p8_384.fb_dist_in1k	50.587	49.413	79.573	20.427	26.21	384	1.000	bicubic	-46.643	-19.907	-7
182	convformer_s36.sail_in1k_384	50.333	49.667	78.893	21.107	40.01	384	1.000	bicubic	-46.947	-20.577	-14
183	convnext_tiny.in12k_ft_in1k_384	50.320	49.680	79.800	20.200	28.59	384	1.000	bicubic	-47.020	-19.800	-26
184	volo_d3_224.sail_in1k	50.293	49.707	78.213	21.787	86.33	224	0.960	bicubic	-46.797	-21.247	+11
185	flexivit_large.600ep_in1k	50.253	49.747	80.027	19.973	304.36	240	0.950	bicubic	-47.027	-19.403	-23
186	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	50.120	49.880	78.040	21.960	86.57	224	0.950	bicubic	-47.330	-21.500	-45
187	convformer_s18.sail_in22k_ft_in1k_384	50.067	49.933	80.973	19.027	26.77	384	1.000	bicubic	-47.203	-18.577	-18
188	vit_base_patch16_224.augreg2_in21k_ft_in1k	49.813	50.187	78.960	21.040	86.57	224	0.900	bicubic	-47.337	-20.490	-3
189	vit_base_patch16_clip_224.openai_ft_in12k_in1k	49.813	50.187	77.133	22.867	86.57	224	0.950	bicubic	-47.717	-22.367	-61
190	cait_s24_384.fb_dist_in1k	49.733	50.267	78.760	21.240	47.06	384	1.000	bicubic	-47.337	-20.670	+14
191	deit_base_distilled_patch16_384.fb_in1k	49.347	50.653	79.240	20.760	87.63	384	1.000	bicubic	-47.613	-20.240	+27
192	xcit_medium_24_p16_384.fb_dist_in1k	49.333	50.667	79.867	20.133	84.40	384	1.000	bicubic	-47.947	-19.643	-25
193	caformer_s18.sail_in1k_384	49.133	50.867	78.693	21.307	26.34	384	1.000	bicubic	-47.947	-20.797	+10
194	coat_lite_medium_384.in1k	49.093	50.907	78.600	21.400	44.57	384	1.000	bicubic	-48.057	-20.940	-8
195	tf_efficientnet_b8.ra_in1k	48.920	51.080	77.227	22.773	87.41	672	0.954	bicubic	-48.280	-22.273	-15
196	convnextv2_base.fcmae_ft_in1k	48.693	51.307	78.827	21.173	88.72	288	1.000	bicubic	-48.527	-20.713	-21
197	deit3_large_patch16_224.fb_in1k	48.627	51.373	78.120	21.880	304.37	224	0.900	bicubic	-48.313	-21.140	+26
198	caformer_b36.sail_in1k	48.533	51.467	75.667	24.333	98.75	224	1.000	bicubic	-48.457	-23.673	+16
199	flexivit_large.300ep_in1k	48.520	51.480	78.653	21.347	304.36	240	0.950	bicubic	-48.730	-20.837	-29
200	convnext_base.clip_laion2b_augreg_ft_in1k	48.453	51.547	79.827	20.173	88.59	256	1.000	bicubic	-48.787	-19.693	-28
201	tf_efficientnetv2_s.in21k_ft_in1k	48.427	51.573	77.867	22.133	21.46	384	1.000	bicubic	-48.303	-21.463	+52
202	resnest269e.in1k	48.213	51.787	74.333	25.667	110.93	416	0.928	bicubic	-48.297	-25.017	+101
203	deit3_medium_patch16_224.fb_in22k_ft_in1k	48.173	51.827	77.040	22.960	38.85	224	1.000	bicubic	-48.797	-22.390	+14
204	xcit_large_24_p8_224.fb_dist_in1k	48.160	51.840	79.093	20.907	188.93	224	1.000	bicubic	-48.910	-20.327	+1
205	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	47.973	52.027	76.853	23.147	88.30	384	1.000	bicubic	-49.387	-22.667	-50
206	regnety_2560.seer_ft_in1k	47.920	52.080	76.787	23.213	1,282.60	384	1.000	bicubic	-49.300	-22.733	-30
207	regnetz_e8.ra3_in1k	47.800	52.200	76.200	23.800	57.70	320	1.000	bicubic	-49.400	-23.300	-28
208	convnext_tiny.in12k_ft_in1k	47.507	52.493	78.747	21.253	28.59	288	1.000	bicubic	-49.553	-20.803	-2
209	convformer_s36.sail_in22k_ft_in1k	47.440	52.560	77.107	22.893	40.01	224	1.000	bicubic	-49.640	-22.453	-11
210	resnetv2_50x3_bit.goog_in21k_ft_in1k	47.307	52.693	77.333	22.667	217.32	448	1.000	bilinear	-49.403	-22.147	+47
211	vit_base_patch16_clip_224.openai_ft_in1k	47.200	52.800	77.547	22.453	86.57	224	0.900	bicubic	-49.880	-21.923	-10
212	xcit_large_24_p8_224.fb_in1k	47.160	52.840	74.480	25.520	188.93	224	1.000	bicubic	-49.240	-24.510	+106
213	xcit_small_24_p16_384.fb_dist_in1k	46.987	53.013	77.160	22.840	47.67	384	1.000	bicubic	-50.133	-22.290	-23
214	tf_efficientnet_b8.ap_in1k	46.893	53.107	76.533	23.467	87.41	672	0.954	bicubic	-50.217	-23.127	-23
215	convnext_large.fb_in1k	46.813	53.187	76.627	23.373	197.77	288	1.000	bicubic	-50.287	-22.883	-21
216	dm_nfnet_f2.dm_in1k	46.653	53.347	74.813	25.187	193.78	352	0.920	bicubic	-50.447	-24.637	-23
217	efficientnetv2_rw_m.agc_in1k	46.293	53.707	75.720	24.280	53.24	416	1.000	bicubic	-50.687	-23.810	-2
218	swinv2_base_window16_256.ms_in1k	46.213	53.787	75.173	24.827	87.92	256	0.900	bicubic	-50.537	-24.177	+32
219	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	46.120	53.880	72.240	27.760	194.03	224	0.875	bilinear	-50.480	-27.290	+65
220	caformer_m36.sail_in1k	46.080	53.920	74.533	25.467	56.20	224	1.000	bicubic	-50.810	-24.997	+13
221	volo_d2_224.sail_in1k	46.067	53.933	75.253	24.747	58.68	224	0.960	bicubic	-50.933	-24.137	-8
222	vit_small_patch16_384.augreg_in21k_ft_in1k	45.880	54.120	76.747	23.253	22.20	384	1.000	bicubic	-50.820	-22.683	+38
223	ecaresnet269d.ra2_in1k	45.853	54.147	75.067	24.933	102.09	352	1.000	bicubic	-51.227	-24.543	-21
224	convnextv2_tiny.fcmae_ft_in22k_in1k_384	45.773	54.227	76.973	23.027	28.64	384	1.000	bicubic	-51.467	-22.637	-51
225	vit_small_r26_s32_384.augreg_in21k_ft_in1k	45.707	54.293	76.040	23.960	36.47	384	1.000	bicubic	-50.973	-23.040	+45
226	tf_efficientnet_b7.ap_in1k	45.387	54.613	74.200	25.800	66.35	600	0.949	bicubic	-51.803	-25.360	-44
227	swin_base_patch4_window12_384.ms_in1k	45.333	54.667	74.360	25.640	87.90	384	1.000	bicubic	-51.247	-24.810	+60
228	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	45.320	54.680	70.907	29.093	88.79	224	0.875	bilinear	-51.010	-28.443	+102
229	xcit_medium_24_p8_224.fb_dist_in1k	45.227	54.773	76.760	23.240	84.32	224	1.000	bicubic	-51.693	-22.640	-2
230	eca_nfnet_l2.ra3_in1k	44.987	55.013	75.880	24.120	56.72	384	1.000	bicubic	-52.093	-23.630	-30
231	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	44.787	55.213	73.747	26.253	41.72	224	0.950	bicubic	-51.853	-25.413	+46
232	maxxvit_rmlp_small_rw_256.sw_in1k	44.600	55.400	75.040	24.960	66.01	256	0.950	bicubic	-52.200	-24.340	+11
233	crossvit_18_dagger_408.in1k	44.280	55.720	73.813	26.187	44.61	408	1.000	bicubic	-52.260	-25.547	+64
234	resnest200e.in1k	44.133	55.867	73.493	26.507	70.20	320	0.909	bicubic	-52.477	-25.857	+49
235	seresnextaa101d_32x8d.ah_in1k	43.973	56.027	73.347	26.653	93.59	288	1.000	bicubic	-52.987	-25.903	-16
236	cait_xs24_384.fb_dist_in1k	43.947	56.053	75.160	24.840	26.67	384	1.000	bicubic	-52.593	-24.260	+58
237	mvitv2_base.fb_in1k	43.747	56.253	74.507	25.493	51.47	224	0.900	bicubic	-53.013	-24.753	+11
238	resnetrs200.tf_in1k	43.733	56.267	72.827	27.173	93.21	320	1.000	bicubic	-52.967	-26.543	+25
239	rexnetr_300.sw_in12k_ft_in1k	43.653	56.347	76.547	23.453	34.81	288	1.000	bicubic	-53.187	-22.963	-1
240	tresnet_xl.miil_in1k_448	43.493	56.507	72.413	27.587	78.44	448	0.875	bilinear	-52.487	-26.637	+162
241	caformer_s18.sail_in22k_ft_in1k	43.333	56.667	74.947	25.053	26.34	224	1.000	bicubic	-53.377	-24.603	+17
242	xcit_small_12_p16_384.fb_dist_in1k	43.307	56.693	73.933	26.067	26.25	384	1.000	bicubic	-53.613	-25.457	-16
243	vit_base_patch16_224.augreg_in21k_ft_in1k	43.280	56.720	72.920	27.080	86.57	224	0.900	bicubic	-53.610	-26.510	-11
244	swin_small_patch4_window7_224.ms_in22k_ft_in1k	43.227	56.773	76.187	23.813	49.61	224	0.900	bicubic	-53.253	-23.203	+61
245	resnetrs420.tf_in1k	43.147	56.853	70.453	29.547	191.89	416	1.000	bicubic	-53.763	-29.067	-16
246	vit_base_patch32_clip_384.openai_ft_in12k_in1k	43.080	56.920	73.253	26.747	88.30	384	0.950	bicubic	-54.030	-26.247	-54
247	edgenext_base.in21k_ft_in1k	43.040	56.960	75.440	24.560	18.51	320	1.000	bicubic	-53.690	-23.980	+4
248	coatnet_rmlp_2_rw_224.sw_in1k	43.040	56.960	71.707	28.293	73.88	224	0.950	bicubic	-53.500	-27.593	+51
249	xcit_medium_24_p8_224.fb_in1k	43.040	56.960	70.320	29.680	84.32	224	1.000	bicubic	-53.050	-28.570	+128
250	tf_efficientnet_b7.ra_in1k	42.987	57.013	73.173	26.827	66.35	600	0.949	bicubic	-54.023	-26.347	-39
251	tf_efficientnetv2_m.in1k	42.800	57.200	72.600	27.400	54.14	480	1.000	bicubic	-54.410	-26.930	-73
252	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	42.693	57.307	74.360	25.640	38.86	256	0.950	bicubic	-53.977	-25.010	+21
253	hrnet_w48_ssld.paddle_in1k	42.600	57.400	72.133	27.867	77.47	288	1.000	bilinear	-54.430	-27.257	-45
254	dm_nfnet_f1.dm_in1k	42.547	57.453	71.560	28.440	132.63	320	0.910	bicubic	-54.483	-28.080	-44
255	xcit_tiny_24_p8_384.fb_dist_in1k	42.453	57.547	72.853	27.147	12.11	384	1.000	bicubic	-54.077	-26.417	+44
256	gcvit_base.in1k	42.440	57.560	73.773	26.227	90.32	224	0.875	bicubic	-54.130	-25.687	+36
257	swinv2_small_window16_256.ms_in1k	42.360	57.640	72.867	27.133	49.73	256	0.900	bicubic	-54.110	-26.333	+50
258	maxvit_rmlp_small_rw_224.sw_in1k	42.227	57.773	72.373	27.627	64.90	224	0.900	bicubic	-54.353	-26.877	+32
259	convformer_s18.sail_in1k_384	42.120	57.880	74.453	25.547	26.77	384	1.000	bicubic	-54.920	-24.927	-52
260	convnextv2_tiny.fcmae_ft_in22k_in1k	42.093	57.907	75.747	24.253	28.64	288	1.000	bicubic	-54.757	-23.713	-24
261	maxvit_base_tf_224.in1k	41.987	58.013	70.093	29.907	119.47	224	0.950	bicubic	-54.963	-29.487	-39
262	convnext_base.fb_in1k	41.947	58.053	73.987	26.013	88.59	288	1.000	bicubic	-54.883	-25.463	-22
263	xcit_small_24_p8_224.fb_dist_in1k	41.907	58.093	73.653	26.347	47.63	224	1.000	bicubic	-54.963	-25.827	-30
264	crossvit_15_dagger_408.in1k	41.907	58.093	72.027	27.973	28.50	408	1.000	bicubic	-54.483	-27.323	+58
265	resnetaa101d.sw_in12k_ft_in1k	41.893	58.107	72.387	27.613	44.57	288	1.000	bicubic	-54.807	-26.973	-1
266	maxvit_large_tf_224.in1k	41.880	58.120	68.653	31.347	211.79	224	0.950	bicubic	-55.080	-30.737	-46
267	xcit_small_24_p8_224.fb_in1k	41.800	58.200	71.093	28.907	47.63	224	1.000	bicubic	-54.610	-28.057	+50
268	vit_large_r50_s32_224.augreg_in21k_ft_in1k	41.640	58.360	70.240	29.760	328.99	224	0.900	bicubic	-55.150	-29.100	-23
269	vit_base_patch16_clip_224.laion2b_ft_in1k	41.613	58.387	73.613	26.387	86.57	224	1.000	bicubic	-55.517	-25.847	-80
270	swinv2_base_window8_256.ms_in1k	41.547	58.453	72.427	27.573	87.92	256	0.900	bicubic	-54.983	-26.893	+30
271	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	41.533	58.467	71.707	28.293	44.18	224	0.875	bilinear	-54.887	-27.443	+42
272	deit3_small_patch16_224.fb_in22k_ft_in1k	41.227	58.773	71.893	28.107	22.06	224	1.000	bicubic	-55.433	-27.437	+3
273	maxvit_rmlp_tiny_rw_256.sw_in1k	41.173	58.827	71.187	28.813	29.15	256	0.950	bicubic	-55.247	-28.193	+41
274	regnety_1280.seer_ft_in1k	41.147	58.853	71.200	28.800	644.81	384	1.000	bicubic	-55.713	-28.190	-39
275	seresnext101d_32x8d.ah_in1k	41.147	58.853	70.920	29.080	93.59	288	1.000	bicubic	-55.553	-28.560	-10
276	convnext_tiny.fb_in22k_ft_in1k_384	41.053	58.947	72.533	27.467	28.59	384	1.000	bicubic	-56.027	-26.977	-77
277	caformer_s36.sail_in1k	41.040	58.960	70.880	29.120	39.30	224	1.000	bicubic	-55.650	-28.480	-10
278	davit_base.msft_in1k	40.880	59.120	72.747	27.253	87.95	224	0.950	bicubic	-56.060	-26.593	-54
279	tf_efficientnet_b6.ap_in1k	40.800	59.200	71.640	28.360	43.04	528	0.942	bicubic	-56.280	-27.780	-82
280	flexivit_base.1200ep_in1k	40.613	59.387	72.320	27.680	86.59	240	0.950	bicubic	-56.127	-27.040	-29
281	convformer_b36.sail_in1k	40.453	59.547	69.440	30.560	99.88	224	1.000	bicubic	-56.447	-30.040	-50
282	resmlp_big_24_224.fb_in22k_ft_in1k	40.373	59.627	74.800	25.200	129.14	224	0.875	bicubic	-56.247	-24.470	-2
283	deit3_small_patch16_384.fb_in1k	40.347	59.653	70.333	29.667	22.21	384	1.000	bicubic	-55.853	-28.967	+67
284	tresnet_l.miil_in1k_448	40.213	59.787	69.920	30.080	55.99	448	0.875	bilinear	-55.647	-29.280	+140
285	deit_base_patch16_384.fb_in1k	40.200	59.800	70.800	29.200	86.86	384	1.000	bicubic	-55.960	-28.440	+75
286	regnetz_040_h.ra3_in1k	40.000	60.000	71.320	28.680	28.94	320	1.000	bicubic	-56.700	-27.970	-27
287	resnetrs350.tf_in1k	39.973	60.027	68.907	31.093	163.96	384	1.000	bicubic	-56.777	-30.463	-38
288	flexivit_base.600ep_in1k	39.933	60.067	71.880	28.120	86.59	240	0.950	bicubic	-56.717	-27.450	-12
289	regnetz_d8.ra3_in1k	39.907	60.093	71.707	28.293	23.37	320	1.000	bicubic	-56.713	-27.743	-8
290	swin_s3_base_224.ms_in1k	39.853	60.147	70.467	29.533	71.13	224	0.900	bicubic	-56.387	-28.733	+51
291	flexivit_base.300ep_in1k	39.533	60.467	71.000	29.000	86.59	240	0.950	bicubic	-57.087	-28.510	-9
292	seresnext101_32x8d.ah_in1k	39.520	60.480	69.480	30.520	93.57	288	1.000	bicubic	-57.250	-29.870	-45
293	gcvit_small.in1k	39.413	60.587	70.480	29.520	51.09	224	0.875	bicubic	-56.867	-28.660	+44
294	regnetz_d8_evos.ch_in1k	39.360	60.640	71.427	28.573	23.46	320	1.000	bicubic	-57.210	-27.803	-3
295	deit3_base_patch16_224.fb_in1k	39.173	60.827	70.933	29.067	86.59	224	0.900	bicubic	-57.127	-28.247	+40
296	volo_d1_224.sail_in1k	39.013	60.987	70.267	29.733	26.63	224	0.960	bicubic	-57.307	-29.043	+37
297	vit_large_patch32_384.orig_in21k_ft_in1k	38.920	61.080	68.933	31.067	306.63	384	1.000	bicubic	-56.910	-30.237	+133
298	resnetv2_101x1_bit.goog_in21k_ft_in1k	38.907	61.093	71.040	28.960	44.54	448	1.000	bilinear	-57.193	-28.230	+76
299	mvitv2_small.fb_in1k	38.773	61.227	70.413	29.587	34.87	224	0.900	bicubic	-57.597	-28.787	+24
300	regnetz_040.ra3_in1k	38.747	61.253	70.440	29.560	27.12	320	1.000	bicubic	-57.973	-29.060	-44
301	coat_lite_medium.in1k	38.600	61.400	71.093	28.907	44.57	224	0.900	bicubic	-57.870	-28.147	+7
302	xcit_small_12_p8_224.fb_dist_in1k	38.280	61.720	71.373	28.627	26.21	224	1.000	bicubic	-58.420	-27.987	-40
303	tf_efficientnet_b7.aa_in1k	38.133	61.867	69.333	30.667	66.35	600	0.949	bicubic	-58.407	-29.927	-8
304	resnet200d.ra2_in1k	38.133	61.867	68.573	31.427	64.69	320	1.000	bicubic	-58.597	-30.847	-49
305	davit_small.msft_in1k	38.120	61.880	70.747	29.253	49.75	224	0.950	bicubic	-58.510	-28.593	-27
306	focalnet_base_srf.ms_in1k	37.827	62.173	69.733	30.267	88.15	224	0.900	bicubic	-58.733	-29.407	-13
307	focalnet_base_lrf.ms_in1k	37.787	62.213	68.573	31.427	88.75	224	0.900	bicubic	-58.663	-30.727	+5
308	convformer_m36.sail_in1k	37.760	62.240	67.293	32.707	57.05	224	1.000	bicubic	-58.920	-32.287	-36
309	swinv2_small_window8_256.ms_in1k	37.733	62.267	69.853	30.147	49.73	256	0.900	bicubic	-58.537	-29.357	+29
310	xcit_large_24_p16_224.fb_dist_in1k	37.653	62.347	71.613	28.387	189.10	224	1.000	bicubic	-59.147	-27.737	-67
311	seresnet152d.ra2_in1k	37.653	62.347	69.493	30.507	66.84	320	1.000	bicubic	-59.117	-29.947	-64
312	maxvit_small_tf_224.in1k	37.560	62.440	67.947	32.053	68.93	224	0.950	bicubic	-59.130	-31.413	-44
313	xcit_small_12_p8_224.fb_in1k	37.547	62.453	68.173	31.827	26.21	224	1.000	bicubic	-58.563	-30.987	+60
314	eca_nfnet_l1.ra2_in1k	37.533	62.467	70.933	29.067	41.41	320	1.000	bicubic	-59.167	-28.447	-48
315	twins_svt_large.in1k	37.213	62.787	69.213	30.787	99.27	224	0.900	bicubic	-59.037	-29.957	+24
316	regnetz_d32.ra3_in1k	37.160	62.840	70.480	29.520	27.58	320	0.950	bicubic	-59.430	-28.900	-30
317	vit_base_patch32_384.augreg_in21k_ft_in1k	37.107	62.893	69.800	30.200	88.30	384	1.000	bicubic	-59.383	-29.610	-13
318	regnety_064.ra3_in1k	37.013	62.987	68.107	31.893	30.58	288	1.000	bicubic	-59.347	-31.123	+7
319	swin_s3_small_224.ms_in1k	36.933	63.067	68.253	31.747	49.74	224	0.900	bicubic	-59.297	-30.827	+25
320	efficientnetv2_rw_s.ra2_in1k	36.840	63.160	68.320	31.680	23.94	384	1.000	bicubic	-59.700	-30.780	-25
321	resnext101_64x4d.c1_in1k	36.840	63.160	66.627	33.373	83.46	288	1.000	bicubic	-59.240	-32.603	+57
322	regnety_160.deit_in1k	36.827	63.173	69.120	30.880	83.59	288	1.000	bicubic	-59.523	-30.060	+5
323	pit_b_distilled_224.in1k	36.720	63.280	68.093	31.907	74.79	224	0.900	bicubic	-59.510	-31.017	+20
324	convnext_small.fb_in1k	36.707	63.293	71.067	28.933	50.22	288	1.000	bicubic	-59.813	-28.273	-23
325	pvt_v2_b4.in1k	36.627	63.373	68.653	31.347	62.56	224	0.900	bicubic	-59.723	-30.677	+3
326	pvt_v2_b5.in1k	36.280	63.720	68.427	31.573	81.96	224	0.900	bicubic	-60.080	-30.813	0
327	cait_xxs36_384.fb_dist_in1k	36.267	63.733	67.733	32.267	17.37	384	1.000	bicubic	-59.563	-31.417	+104
328	regnety_640.seer_ft_in1k	36.120	63.880	68.307	31.693	281.38	384	1.000	bicubic	-60.730	-31.113	-91
329	nest_base_jx.goog_in1k	36.053	63.947	66.747	33.253	67.72	224	0.875	bicubic	-60.187	-32.383	+11
330	coatnet_1_rw_224.sw_in1k	35.973	64.027	67.133	32.867	41.72	224	0.950	bicubic	-60.057	-31.997	+63
331	maxvit_tiny_rw_224.sw_in1k	35.960	64.040	65.573	34.427	29.06	224	0.950	bicubic	-60.280	-33.577	+11
332	cs3se_edgenet_x.c2ns_in1k	35.653	64.347	67.827	32.173	50.72	320	1.000	bicubic	-60.797	-31.573	-23
333	sequencer2d_l.in1k	35.600	64.400	67.360	32.640	54.30	224	0.875	bicubic	-60.550	-31.800	+30
334	swin_base_patch4_window7_224.ms_in1k	35.560	64.440	68.160	31.840	87.77	224	0.900	bicubic	-60.560	-30.900	+37
335	regnety_080.ra3_in1k	35.547	64.453	67.213	32.787	39.18	288	1.000	bicubic	-60.973	-32.107	-33
336	tf_efficientnet_b3.ns_jft_in1k	35.520	64.480	67.773	32.227	12.23	300	0.904	bicubic	-60.870	-31.617	-16
337	tf_efficientnet_b6.aa_in1k	35.133	64.867	67.747	32.253	43.04	528	0.942	bicubic	-61.537	-31.743	-63
338	resnetrs270.tf_in1k	34.960	65.040	65.453	34.547	129.86	352	1.000	bicubic	-61.730	-33.897	-69
339	gcvit_tiny.in1k	34.947	65.053	66.893	33.107	28.22	224	0.875	bicubic	-61.233	-32.297	+15
340	tf_efficientnet_b5.ap_in1k	34.813	65.187	67.480	32.520	30.39	456	0.934	bicubic	-61.867	-31.980	-69
341	xcit_tiny_12_p8_384.fb_dist_in1k	34.653	65.347	66.293	33.707	6.71	384	1.000	bicubic	-61.427	-32.567	+39
342	vit_base_patch16_224_miil.in21k_ft_in1k	34.533	65.467	64.973	35.027	86.54	224	0.875	bilinear	-61.917	-34.337	-31
343	xcit_medium_24_p16_224.fb_dist_in1k	34.333	65.667	67.880	32.120	84.40	224	1.000	bicubic	-62.267	-31.390	-58
344	resnet152d.ra2_in1k	34.280	65.720	65.947	34.053	60.21	320	1.000	bicubic	-62.110	-33.213	-25
345	deit3_medium_patch16_224.fb_in1k	34.253	65.747	66.027	33.973	38.85	224	0.900	bicubic	-61.817	-33.163	+38
346	coat_small.in1k	34.187	65.813	66.133	33.867	21.69	224	0.900	bicubic	-61.723	-33.017	+71
347	tresnet_m.miil_in1k_448	34.093	65.907	64.507	35.493	31.39	448	0.875	bilinear	-60.897	-33.953	+233
348	resmlp_big_24_224.fb_distilled_in1k	34.053	65.947	69.573	30.427	129.14	224	0.875	bicubic	-62.397	-29.547	-38
349	regnetv_064.ra3_in1k	34.000	66.000	67.880	32.120	30.58	288	1.000	bicubic	-62.410	-31.480	-33
350	xcit_tiny_24_p16_384.fb_dist_in1k	33.827	66.173	65.400	34.600	12.12	384	1.000	bicubic	-62.113	-33.810	+61
351	caformer_s18.sail_in1k	33.707	66.293	65.400	34.600	26.34	224	1.000	bicubic	-62.433	-33.770	+15
352	pvt_v2_b3.in1k	33.640	66.360	67.680	32.320	45.24	224	0.900	bicubic	-62.350	-31.510	+48
353	focalnet_small_srf.ms_in1k	33.520	66.480	65.907	34.093	49.89	224	0.900	bicubic	-62.550	-33.383	+32
354	coatnet_rmlp_1_rw_224.sw_in1k	33.507	66.493	65.573	34.427	41.69	224	0.950	bicubic	-62.453	-33.617	+54
355	convformer_s18.sail_in22k_ft_in1k	33.453	66.547	68.280	31.720	26.77	224	1.000	bicubic	-63.177	-31.070	-76
356	resnet152.a1h_in1k	33.427	66.573	63.453	36.547	60.19	288	1.000	bicubic	-62.773	-35.767	-5
357	twins_pcpvt_large.in1k	33.373	66.627	67.933	32.067	60.99	224	0.900	bicubic	-62.767	-31.427	+8
358	convformer_s36.sail_in1k	33.333	66.667	63.840	36.160	40.01	224	1.000	bicubic	-63.247	-35.400	-69
359	focalnet_small_lrf.ms_in1k	33.227	66.773	67.067	32.933	50.34	224	0.900	bicubic	-62.953	-32.163	-4
360	twins_svt_base.in1k	33.200	66.800	65.720	34.280	56.07	224	0.900	bicubic	-62.960	-33.330	+1
361	pit_b_224.in1k	33.160	66.840	62.360	37.640	73.76	224	0.900	bicubic	-62.460	-36.310	+99
362	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	33.027	66.973	65.120	34.880	25.03	224	0.875	bilinear	-62.833	-33.950	+59
363	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	33.027	66.973	64.240	35.760	236.34	224	0.875	bicubic	-63.093	-35.000	+7
364	mobilevitv2_200.cvnets_in22k_ft_in1k_384	32.987	67.013	65.493	34.507	18.45	384	1.000	bicubic	-63.073	-33.587	+23
365	convnextv2_nano.fcmae_ft_in22k_in1k_384	32.947	67.053	67.173	32.827	15.62	384	1.000	bicubic	-63.423	-32.227	-43
366	regnety_320.seer_ft_in1k	32.947	67.053	66.347	33.653	145.05	384	1.000	bicubic	-63.383	-33.083	-35
367	swinv2_cr_small_ns_224.sw_in1k	32.893	67.107	65.947	34.053	49.70	224	0.900	bicubic	-63.287	-33.173	-11
368	xception65.ra3_in1k	32.733	67.267	62.987	37.013	39.92	299	0.940	bicubic	-63.627	-36.183	-44
369	xcit_large_24_p16_224.fb_in1k	32.733	67.267	62.067	37.933	189.10	224	1.000	bicubic	-62.697	-36.563	+137
370	ecaresnet101d.miil_in1k	32.707	67.293	65.973	34.027	44.57	288	0.950	bicubic	-63.513	-33.337	-25
371	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	32.640	67.360	63.987	36.013	194.03	224	0.875	bilinear	-63.150	-35.173	+65
372	swin_small_patch4_window7_224.ms_in1k	32.573	67.427	65.347	34.653	49.61	224	0.900	bicubic	-63.357	-33.803	+43
373	mobilevitv2_175.cvnets_in22k_ft_in1k_384	32.480	67.520	64.747	35.253	14.25	384	1.000	bicubic	-63.700	-34.393	-16
374	tf_efficientnetv2_b3.in21k_ft_in1k	32.333	67.667	66.133	33.867	14.36	300	0.900	bicubic	-63.887	-33.097	-27
375	nest_small_jx.goog_in1k	32.280	67.720	63.747	36.253	38.35	224	0.875	bicubic	-63.690	-35.283	+30
376	convnext_tiny_hnf.a2h_in1k	32.227	67.773	62.893	37.107	28.59	288	1.000	bicubic	-63.793	-36.247	+21
377	resnext101_64x4d.tv_in1k	32.160	67.840	64.227	35.773	83.46	224	0.875	bilinear	-63.870	-34.833	+14
378	vit_base_patch16_224.orig_in21k_ft_in1k	32.053	67.947	61.627	38.373	86.57	224	0.900	bicubic	-63.287	-37.373	+143
379	convnextv2_tiny.fcmae_ft_in1k	32.027	67.973	67.067	32.933	28.64	288	1.000	bicubic	-64.163	-32.263	-26
380	maxvit_nano_rw_256.sw_in1k	31.933	68.067	64.187	35.813	15.45	256	0.950	bicubic	-63.987	-34.823	+36
381	tf_efficientnet_b5.ra_in1k	31.813	68.187	65.280	34.720	30.39	456	0.934	bicubic	-64.517	-34.030	-49
382	swinv2_cr_small_224.sw_in1k	31.733	68.267	62.547	37.453	49.70	224	0.900	bicubic	-64.347	-36.593	-1
383	rexnetr_200.sw_in12k_ft_in1k	31.720	68.280	67.640	32.360	16.52	288	1.000	bicubic	-64.500	-31.620	-37
384	swinv2_tiny_window16_256.ms_in1k	31.707	68.293	65.667	34.333	28.35	256	0.900	bicubic	-64.223	-33.353	+30
385	regnetz_c16_evos.ch_in1k	31.507	68.493	66.320	33.680	13.49	320	0.950	bicubic	-64.633	-32.680	-21
386	resnest101e.in1k	31.427	68.573	64.333	35.667	48.28	256	0.875	bilinear	-64.433	-34.767	+37
387	maxvit_rmlp_nano_rw_256.sw_in1k	31.400	68.600	63.413	36.587	15.50	256	0.950	bicubic	-64.570	-35.737	+19
388	regnety_320.tv2_in1k	31.360	68.640	64.827	35.173	145.05	224	0.965	bicubic	-64.720	-34.413	-9
389	maxxvit_rmlp_nano_rw_256.sw_in1k	31.333	68.667	64.360	35.640	16.78	256	0.950	bicubic	-64.707	-34.900	0
390	regnetv_040.ra3_in1k	31.293	68.707	64.693	35.307	20.64	288	1.000	bicubic	-64.897	-34.557	-38
391	crossvit_base_240.in1k	31.267	68.733	61.293	38.707	105.03	240	0.875	bicubic	-64.253	-37.577	+87
392	cait_s24_224.fb_dist_in1k	31.187	68.813	64.573	35.427	46.92	224	1.000	bicubic	-65.233	-34.897	-77
393	convnext_nano.in12k_ft_in1k	31.107	68.893	67.333	32.667	15.59	288	1.000	bicubic	-64.883	-31.987	+6
394	efficientnet_b4.ra2_in1k	30.880	69.120	64.667	35.333	19.34	384	1.000	bicubic	-65.270	-34.523	-32
395	regnety_040.ra3_in1k	30.627	69.373	63.827	36.173	20.65	288	1.000	bicubic	-65.393	-35.243	-1
396	maxvit_tiny_tf_224.in1k	30.587	69.413	62.773	37.227	30.92	224	0.950	bicubic	-65.513	-36.507	-22
397	crossvit_18_240.in1k	30.587	69.413	61.920	38.080	43.27	240	0.875	bicubic	-64.853	-37.200	+105
398	sequencer2d_m.in1k	30.560	69.440	62.987	37.013	38.31	224	0.875	bicubic	-65.250	-36.223	+36
399	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	30.560	69.440	62.053	37.947	88.22	224	0.900	bicubic	-65.570	-37.167	-31
400	xcit_small_24_p16_224.fb_dist_in1k	30.547	69.453	64.733	35.267	47.67	224	1.000	bicubic	-65.673	-34.477	-52
401	crossvit_18_dagger_240.in1k	30.520	69.480	61.800	38.200	44.27	240	0.875	bicubic	-65.050	-37.260	+63
402	maxxvitv2_nano_rw_256.sw_in1k	30.440	69.560	63.707	36.293	23.70	256	0.950	bicubic	-65.460	-35.463	+17
403	mvitv2_tiny.fb_in1k	30.173	69.827	64.320	35.680	24.17	224	0.900	bicubic	-65.687	-34.800	+23
404	xcit_medium_24_p16_224.fb_in1k	30.173	69.827	59.307	40.693	84.40	224	1.000	bicubic	-65.367	-39.473	+68
405	rexnet_300.nav_in1k	30.013	69.987	63.920	36.080	34.71	224	0.875	bicubic	-65.827	-35.210	+22
406	cait_xxs24_384.fb_dist_in1k	30.013	69.987	63.907	36.093	12.03	384	1.000	bicubic	-65.267	-35.103	+126
407	tf_efficientnet_b5.aa_in1k	29.973	70.027	63.080	36.920	30.39	456	0.934	bicubic	-66.497	-36.070	-101
408	convnext_tiny.fb_in1k	29.960	70.040	65.120	34.880	28.59	288	1.000	bicubic	-65.830	-34.060	+29
409	twins_pcpvt_base.in1k	29.933	70.067	64.627	35.373	43.83	224	0.900	bicubic	-65.837	-34.353	+29
410	cs3sedarknet_x.c2ns_in1k	29.933	70.067	62.000	38.000	35.40	288	1.000	bicubic	-66.087	-37.190	-13
411	resnet50.fb_swsl_ig1b_ft_in1k	29.827	70.173	63.853	36.147	25.56	224	0.875	bilinear	-65.573	-35.247	+100
412	mobilevitv2_150.cvnets_in22k_ft_in1k_384	29.800	70.200	62.147	37.853	10.59	384	1.000	bicubic	-65.890	-36.993	+38
413	vit_relpos_base_patch16_clsgap_224.sw_in1k	29.733	70.267	62.880	37.120	86.43	224	0.900	bicubic	-66.037	-36.250	+28
414	resnet152.a1_in1k	29.720	70.280	57.280	42.720	60.19	288	1.000	bicubic	-65.780	-41.800	+73
415	convnextv2_nano.fcmae_ft_in22k_in1k	29.693	70.307	65.920	34.080	15.62	288	1.000	bicubic	-66.367	-33.300	-29
416	deit_base_distilled_patch16_224.fb_in1k	29.587	70.413	64.387	35.613	87.34	224	0.900	bicubic	-66.503	-34.803	-40
417	convit_base.fb_in1k	29.520	70.480	61.747	38.253	86.54	224	0.875	bicubic	-66.030	-37.373	+51
418	vit_relpos_medium_patch16_cls_224.sw_in1k	29.307	70.693	60.587	39.413	38.76	224	0.900	bicubic	-66.163	-38.363	+75
419	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	29.293	70.707	66.107	33.893	28.29	224	0.900	bicubic	-66.217	-32.883	+60
420	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	29.120	70.880	61.000	39.000	88.79	224	0.875	bilinear	-66.390	-38.120	+60
421	davit_tiny.msft_in1k	29.107	70.893	63.573	36.427	28.36	224	0.950	bicubic	-66.553	-35.477	+34
422	tf_efficientnetv2_s.in1k	29.040	70.960	61.200	38.800	21.46	384	1.000	bicubic	-67.300	-38.000	-93
423	edgenext_base.usi_in1k	29.027	70.973	64.907	35.093	18.51	320	1.000	bicubic	-67.673	-34.593	-162
424	xception65p.ra3_in1k	28.987	71.013	59.907	40.093	39.82	299	0.940	bicubic	-67.223	-39.273	-76
425	convnext_tiny.fb_in22k_ft_in1k	28.987	71.013	55.600	44.400	28.59	288	1.000	bicubic	-65.853	-43.110	+181
426	resnet101d.ra2_in1k	28.973	71.027	62.080	37.920	44.57	320	1.000	bicubic	-67.317	-37.150	-90
427	resnetv2_101.a1h_in1k	28.933	71.067	59.867	40.133	44.54	288	1.000	bicubic	-67.107	-39.303	-37
428	resnetrs152.tf_in1k	28.893	71.107	60.507	39.493	86.62	320	1.000	bicubic	-67.687	-38.613	-140
429	regnety_160.tv2_in1k	28.867	71.133	61.613	38.387	83.59	224	0.965	bicubic	-67.103	-37.357	-25
430	vit_relpos_medium_patch16_224.sw_in1k	28.853	71.147	61.973	38.027	38.75	224	0.900	bicubic	-66.607	-36.937	+64
431	xcit_tiny_24_p8_224.fb_dist_in1k	28.707	71.293	61.373	38.627	12.11	224	1.000	bicubic	-67.103	-37.737	+2
432	xcit_tiny_24_p8_224.fb_in1k	28.653	71.347	60.440	39.560	12.11	224	1.000	bicubic	-67.007	-38.590	+22
433	crossvit_15_dagger_240.in1k	28.547	71.453	60.293	39.707	28.21	240	0.875	bicubic	-67.133	-38.537	+19
434	cs3edgenet_x.c2_in1k	28.520	71.480	61.147	38.853	47.82	288	1.000	bicubic	-67.530	-37.993	-46
435	pvt_v2_b2_li.in1k	28.480	71.520	62.000	38.000	22.55	224	0.900	bicubic	-67.080	-37.030	+31
436	xcit_small_24_p16_224.fb_in1k	28.333	71.667	58.707	41.293	47.67	224	1.000	bicubic	-67.207	-40.013	+35
437	efficientformerv2_l.snap_dist_in1k	28.253	71.747	61.907	38.093	26.32	224	0.950	bicubic	-67.817	-37.213	-53
438	resnet101.a1h_in1k	28.160	71.840	59.387	40.613	44.55	288	1.000	bicubic	-67.860	-39.723	-43
439	efficientformer_l7.snap_dist_in1k	28.000	72.000	63.013	36.987	82.23	224	0.950	bicubic	-68.110	-36.257	-67
440	flexivit_small.1200ep_in1k	27.813	72.187	58.627	41.373	22.06	240	0.950	bicubic	-67.737	-40.253	+27
441	resnetaa50d.sw_in12k_ft_in1k	27.800	72.200	62.253	37.747	25.58	288	1.000	bicubic	-68.030	-36.837	-12
442	pvt_v2_b2.in1k	27.613	72.387	60.733	39.267	25.36	224	0.900	bicubic	-67.867	-38.267	+49
443	regnetz_c16.ra3_in1k	27.573	72.427	62.720	37.280	13.46	320	1.000	bicubic	-68.367	-36.500	-30
444	resnext101_32x8d.tv2_in1k	27.573	72.427	59.827	40.173	88.79	224	0.965	bilinear	-68.377	-39.073	-35
445	vit_base_patch16_384.augreg_in1k	27.560	72.440	57.253	42.747	86.86	384	1.000	bicubic	-67.380	-41.637	+141
446	coat_lite_small.in1k	27.507	72.493	58.507	41.493	19.84	224	0.900	bicubic	-68.033	-40.573	+24
447	deit_base_patch16_224.fb_in1k	27.400	72.600	58.880	41.120	86.57	224	0.900	bicubic	-68.050	-40.210	+50
448	vit_relpos_base_patch16_224.sw_in1k	27.320	72.680	61.147	38.853	86.43	224	0.900	bicubic	-68.240	-37.843	+17
449	resnetv2_50x1_bit.goog_in21k_ft_in1k	27.307	72.693	62.853	37.147	25.55	448	1.000	bilinear	-67.703	-36.127	+127
450	regnety_080_tv.tv2_in1k	27.267	72.733	61.533	38.467	39.38	224	0.965	bicubic	-68.593	-37.717	-25
451	coatnet_bn_0_rw_224.sw_in1k	27.213	72.787	61.280	38.720	27.44	224	0.950	bicubic	-68.487	-37.770	-2
452	xcit_small_12_p16_224.fb_dist_in1k	27.147	72.853	59.800	40.200	26.25	224	1.000	bicubic	-68.883	-39.360	-60
453	dm_nfnet_f0.dm_in1k	27.080	72.920	58.307	41.693	71.49	256	0.900	bicubic	-69.230	-41.013	-119
454	vit_small_patch16_224.augreg_in21k_ft_in1k	27.040	72.960	59.240	40.760	22.05	224	0.900	bicubic	-68.330	-39.700	+62
455	coatnet_0_rw_224.sw_in1k	27.027	72.973	59.387	40.613	27.44	224	0.950	bicubic	-68.413	-39.663	+47
456	sequencer2d_s.in1k	26.867	73.133	60.640	39.360	27.65	224	0.875	bicubic	-69.113	-38.490	-53
457	flexivit_small.600ep_in1k	26.853	73.147	57.267	42.733	22.06	240	0.950	bicubic	-68.817	-41.793	-4
458	tresnet_v2_l.miil_in21k_ft_in1k	26.707	73.293	59.827	40.173	46.17	224	0.875	bilinear	-69.453	-39.443	-99
459	gcvit_xtiny.in1k	26.693	73.307	60.907	39.093	19.98	224	0.875	bicubic	-68.897	-38.133	+4
460	mobilevitv2_200.cvnets_in22k_ft_in1k	26.653	73.347	59.400	40.600	18.45	256	0.888	bicubic	-68.507	-39.550	+89
461	swin_s3_tiny_224.ms_in1k	26.520	73.480	60.347	39.653	28.33	224	0.900	bicubic	-68.660	-38.603	+83
462	coatnet_rmlp_nano_rw_224.sw_in1k	26.467	73.533	60.547	39.453	15.15	224	0.900	bicubic	-68.963	-38.493	+43
463	swinv2_tiny_window8_256.ms_in1k	26.387	73.613	60.480	39.520	28.35	256	0.900	bicubic	-69.103	-38.310	+25
464	tf_efficientnet_b4.aa_in1k	26.293	73.707	60.093	39.907	19.34	380	0.922	bicubic	-69.607	-38.957	-46
465	regnetx_320.tv2_in1k	26.267	73.733	58.133	41.867	107.81	224	0.965	bicubic	-69.723	-40.967	-64
466	deit3_small_patch16_224.fb_in1k	26.240	73.760	54.493	45.507	22.06	224	0.900	bicubic	-68.750	-44.487	+115
467	nfnet_l0.ra2_in1k	26.227	73.773	61.760	38.240	35.07	288	1.000	bicubic	-69.893	-37.510	-98
468	tf_efficientnet_b4.ap_in1k	26.227	73.773	60.240	39.760	19.34	380	0.922	bicubic	-69.933	-38.900	-111
469	coatnext_nano_rw_224.sw_in1k	26.227	73.773	59.613	40.387	14.70	224	0.900	bicubic	-69.203	-39.397	+37
470	regnety_032.ra_in1k	26.173	73.827	61.013	38.987	19.44	288	1.000	bicubic	-69.787	-38.147	-63
471	ecaresnet50t.ra2_in1k	26.120	73.880	60.013	39.987	25.57	320	0.950	bicubic	-69.400	-38.797	+4
472	fbnetv3_g.ra2_in1k	26.093	73.907	61.080	38.920	16.62	288	0.950	bilinear	-69.417	-38.120	+9
473	mobilevitv2_175.cvnets_in22k_ft_in1k	26.013	73.987	58.520	41.480	14.25	256	0.888	bicubic	-69.207	-40.280	+66
474	flexivit_small.300ep_in1k	25.893	74.107	57.067	42.933	22.06	240	0.950	bicubic	-69.607	-41.713	+11
475	visformer_small.in1k	25.853	74.147	58.933	41.067	40.22	224	0.900	bicubic	-69.637	-40.167	+14
476	vit_small_patch16_384.augreg_in1k	25.773	74.227	57.613	42.387	22.20	384	1.000	bicubic	-69.517	-41.387	+53
477	convformer_s18.sail_in1k	25.680	74.320	57.960	42.040	26.77	224	1.000	bicubic	-70.270	-41.120	-67
478	halo2botnet50ts_256.a1h_in1k	25.573	74.427	56.827	43.173	22.64	256	0.950	bicubic	-69.847	-42.193	+29
479	vit_relpos_medium_patch16_rpn_224.sw_in1k	25.520	74.480	58.667	41.333	38.73	224	0.900	bicubic	-69.980	-40.463	+5
480	coat_mini.in1k	25.507	74.493	57.707	42.293	10.34	224	0.900	bicubic	-69.463	-41.373	+104
481	crossvit_15_240.in1k	25.453	74.547	57.600	42.400	27.53	240	0.875	bicubic	-69.697	-41.360	+71
482	vit_srelpos_medium_patch16_224.sw_in1k	25.373	74.627	58.427	41.573	38.74	224	0.900	bicubic	-69.867	-40.443	+52
483	resnet101.a1_in1k	25.253	74.747	55.120	44.880	44.55	288	1.000	bicubic	-70.267	-43.730	-6
484	resnetv2_50x1_bit.goog_distilled_in1k	25.200	74.800	59.653	40.347	25.55	224	0.875	bicubic	-70.930	-39.627	-117
485	convit_small.fb_in1k	25.147	74.853	57.293	42.707	27.78	224	0.875	bicubic	-70.063	-41.607	+55
486	xcit_small_12_p16_224.fb_in1k	25.107	74.893	56.080	43.920	26.25	224	1.000	bicubic	-70.313	-42.760	+22
487	vit_base_patch16_rpn_224.sw_in1k	25.080	74.920	58.693	41.307	86.54	224	0.900	bicubic	-70.310	-40.167	+27
488	gc_efficientnetv2_rw_t.agc_in1k	25.067	74.933	57.720	42.280	13.68	288	1.000	bicubic	-70.673	-41.460	-43
489	resnet152.a2_in1k	25.053	74.947	54.307	45.693	60.19	288	1.000	bicubic	-70.437	-44.593	+1
490	eca_nfnet_l0.ra2_in1k	24.813	75.187	60.053	39.947	24.14	288	1.000	bicubic	-71.127	-39.057	-78
491	xception41p.ra3_in1k	24.787	75.213	55.253	44.747	26.91	299	0.940	bicubic	-70.723	-43.657	-9
492	tnt_s_patch16_224	24.707	75.293	58.173	41.827	23.76	224	0.900	bicubic	-70.333	-40.657	+78
493	convnext_nano_ols.d1h_in1k	24.547	75.453	57.027	42.973	15.65	288	1.000	bicubic	-70.593	-41.823	+64
494	xcit_tiny_12_p16_384.fb_dist_in1k	24.453	75.547	57.080	42.920	6.72	384	1.000	bicubic	-70.677	-41.940	+64
495	cs3darknet_x.c2ns_in1k	24.387	75.613	57.760	42.240	35.05	288	1.000	bicubic	-71.463	-41.410	-68
496	efficientnetv2_rw_t.ra2_in1k	24.293	75.707	57.387	42.613	13.65	288	1.000	bicubic	-71.307	-41.683	-35
497	swinv2_cr_tiny_ns_224.sw_in1k	24.147	75.853	58.187	41.813	28.33	224	0.900	bicubic	-71.223	-40.953	+20
498	eva02_tiny_patch14_336.mim_in22k_ft_in1k	24.133	75.867	55.427	44.573	5.76	336	1.000	bicubic	-70.777	-43.453	+93
499	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	24.120	75.880	57.387	42.613	44.18	224	0.875	bilinear	-71.320	-41.333	0
500	twins_svt_small.in1k	24.093	75.907	57.160	42.840	24.06	224	0.900	bicubic	-71.097	-41.720	+42
501	coatnet_nano_rw_224.sw_in1k	24.093	75.907	57.147	42.853	15.14	224	0.900	bicubic	-71.147	-41.843	+37
502	tf_efficientnet_b5.in1k	24.080	75.920	58.333	41.667	30.39	456	0.934	bicubic	-71.990	-40.867	-120
503	vit_small_r26_s32_224.augreg_in21k_ft_in1k	24.067	75.933	56.213	43.787	36.43	224	0.900	bicubic	-71.573	-42.977	-47
504	tf_efficientnet_b2.ns_jft_in1k	24.040	75.960	57.320	42.680	9.11	260	0.890	bicubic	-71.730	-41.800	-64
505	mobilevitv2_150.cvnets_in22k_ft_in1k	24.013	75.987	55.920	44.080	10.59	256	0.888	bicubic	-71.127	-42.860	+49
506	vit_relpos_small_patch16_224.sw_in1k	24.000	76.000	58.160	41.840	21.98	224	0.900	bicubic	-71.150	-40.770	+44
507	convnext_nano.d1h_in1k	24.000	76.000	56.200	43.800	15.59	288	1.000	bicubic	-71.350	-42.720	+14
508	cs3sedarknet_l.c2ns_in1k	23.960	76.040	58.760	41.240	21.91	288	0.950	bicubic	-71.350	-40.370	+16
509	ecaresnet50d.miil_in1k	23.933	76.067	58.760	41.240	25.58	288	0.950	bicubic	-71.517	-40.080	-13
510	poolformer_m48.sail_in1k	23.867	76.133	57.160	42.840	73.47	224	0.950	bicubic	-71.763	-42.080	-51
511	vit_small_patch32_384.augreg_in21k_ft_in1k	23.773	76.227	57.267	42.733	22.92	384	1.000	bicubic	-71.257	-41.723	+60
512	lamhalobotnet50ts_256.a1h_in1k	23.613	76.387	55.320	44.680	22.57	256	0.950	bicubic	-71.547	-43.780	+38
513	nasnetalarge.tf_in1k	23.493	76.507	55.000	45.000	88.75	331	0.911	bicubic	-72.197	-43.930	-62
514	crossvit_small_240.in1k	23.427	76.573	56.813	43.187	26.86	240	0.875	bicubic	-71.423	-42.197	+87
515	levit_conv_384.fb_dist_in1k	23.387	76.613	56.413	43.587	39.13	224	0.900	bicubic	-72.143	-42.637	-42
516	levit_384.fb_dist_in1k	23.387	76.613	56.387	43.613	39.13	224	0.900	bicubic	-72.143	-42.673	-42
517	seresnext50_32x4d.racm_in1k	23.360	76.640	57.453	42.547	27.56	288	0.950	bicubic	-72.380	-41.567	-73
518	pnasnet5large.tf_in1k	23.333	76.667	53.627	46.373	86.06	331	0.911	bicubic	-72.377	-45.403	-70
519	focalnet_tiny_srf.ms_in1k	23.267	76.733	58.333	41.667	28.43	224	0.900	bicubic	-72.233	-40.627	-36
520	efficientnet_b3.ra2_in1k	23.200	76.800	55.987	44.013	12.23	320	1.000	bicubic	-72.520	-43.053	-74
521	wide_resnet50_2.racm_in1k	23.187	76.813	56.000	44.000	68.88	288	0.950	bicubic	-72.443	-42.940	-64
522	pit_s_distilled_224.in1k	23.160	76.840	57.107	42.893	24.04	224	0.900	bicubic	-71.980	-41.623	+31
523	hrnet_w18_ssld.paddle_in1k	23.147	76.853	55.160	44.840	21.30	288	1.000	bilinear	-72.843	-44.150	-125
524	efficientformer_l3.snap_dist_in1k	23.133	76.867	57.147	42.853	31.41	224	0.950	bicubic	-72.457	-42.013	-62
525	nest_tiny_jx.goog_in1k	23.107	76.893	56.200	43.800	17.06	224	0.875	bicubic	-72.133	-42.710	+10
526	focalnet_tiny_lrf.ms_in1k	23.080	76.920	58.560	41.440	28.65	224	0.900	bicubic	-72.380	-40.400	-31
527	resnet61q.ra2_in1k	23.013	76.987	55.760	44.240	36.85	288	1.000	bicubic	-72.767	-43.230	-89
528	regnetx_160.tv2_in1k	22.987	77.013	56.333	43.667	54.28	224	0.965	bicubic	-72.893	-42.757	-108
529	resmlp_big_24_224.fb_in1k	22.893	77.107	54.280	45.720	129.14	224	0.875	bicubic	-71.787	-44.220	+96
530	vit_srelpos_small_patch16_224.sw_in1k	22.880	77.120	55.747	44.253	21.97	224	0.900	bicubic	-72.150	-43.203	+42
531	halonet50ts.a1h_in1k	22.867	77.133	54.013	45.987	22.73	256	0.940	bicubic	-72.273	-44.877	+25
532	resnetv2_50d_evos.ah_in1k	22.853	77.147	55.173	44.827	25.59	288	1.000	bicubic	-72.777	-43.937	-74
533	vit_base_patch32_clip_224.laion2b_ft_in1k	22.853	77.147	55.013	44.987	88.22	224	0.900	bicubic	-72.667	-44.097	-57
534	tf_efficientnet_b4.in1k	22.773	77.227	57.080	42.920	19.34	380	0.922	bicubic	-73.047	-41.970	-102
535	poolformerv2_m48.sail_in1k	22.760	77.240	55.733	44.267	73.35	224	1.000	bicubic	-73.010	-43.307	-93
536	twins_pcpvt_small.in1k	22.707	77.293	56.827	43.173	24.11	224	0.900	bicubic	-72.503	-42.053	+5
537	convnextv2_nano.fcmae_ft_in1k	22.653	77.347	58.307	41.693	15.62	288	1.000	bicubic	-73.147	-40.783	-102
538	poolformer_m36.sail_in1k	22.587	77.413	55.373	44.627	56.17	224	0.950	bicubic	-72.803	-43.567	-23
539	vit_base_patch32_clip_224.openai_ft_in1k	22.560	77.440	55.333	44.667	88.22	224	0.900	bicubic	-72.550	-43.597	+22
540	vit_base_patch32_224.augreg_in21k_ft_in1k	22.427	77.573	54.027	45.973	88.22	224	0.900	bicubic	-72.583	-45.033	+37
541	resnetv2_50d_gn.ah_in1k	22.307	77.693	55.000	45.000	25.57	288	1.000	bicubic	-73.173	-43.950	-49
542	ecaresnet101d_pruned.miil_in1k	22.267	77.733	56.213	43.787	24.88	288	0.950	bicubic	-73.493	-42.967	-99
543	wide_resnet101_2.tv2_in1k	22.160	77.840	54.973	45.027	126.89	224	0.965	bilinear	-73.380	-43.887	-74
544	ecaresnet50t.a1_in1k	22.093	77.907	53.680	46.320	25.57	288	1.000	bicubic	-73.317	-45.330	-35
545	xcit_tiny_12_p8_224.fb_dist_in1k	22.067	77.933	54.267	45.733	6.71	224	1.000	bicubic	-73.023	-44.643	+20
546	resnext50_32x4d.a1h_in1k	22.027	77.973	54.080	45.920	25.03	288	1.000	bicubic	-73.423	-44.760	-48
547	res2net101d.in1k	21.853	78.147	51.680	48.320	45.23	224	0.875	bilinear	-72.967	-47.090	+60
548	tresnet_m.miil_in21k_ft_in1k	21.667	78.333	53.853	46.147	31.39	224	0.875	bilinear	-74.043	-45.067	-101
549	efficientformerv2_s2.snap_dist_in1k	21.533	78.467	54.240	45.760	12.71	224	0.950	bicubic	-73.827	-44.690	-31
550	resnet50_gn.a1h_in1k	21.400	78.600	54.067	45.933	25.56	288	0.950	bicubic	-73.850	-44.933	-17
551	maxvit_rmlp_pico_rw_256.sw_in1k	21.240	78.760	51.920	48.080	7.52	256	0.950	bicubic	-73.390	-46.840	+83
552	convmixer_1536_20.in1k	21.213	78.787	55.507	44.493	51.63	224	0.960	bicubic	-73.867	-43.523	+14
553	swin_tiny_patch4_window7_224.ms_in1k	21.173	78.827	55.933	44.067	28.29	224	0.900	bicubic	-73.967	-42.927	+1
554	resnet101.a2_in1k	21.173	78.827	51.920	48.080	44.55	288	1.000	bicubic	-74.237	-47.020	-43
555	pit_s_224.in1k	21.080	78.920	53.627	46.373	23.46	224	0.900	bicubic	-73.490	-45.073	+93
556	xcit_tiny_12_p8_224.fb_in1k	20.960	79.040	52.467	47.533	6.71	224	1.000	bicubic	-73.730	-46.193	+67
557	resnet51q.ra2_in1k	20.920	79.080	55.680	44.320	35.70	288	1.000	bilinear	-74.950	-43.440	-137
558	poolformerv2_m36.sail_in1k	20.920	79.080	53.120	46.880	56.08	224	1.000	bicubic	-74.480	-46.180	-44
559	resnetrs101.tf_in1k	20.867	79.133	52.827	47.173	63.62	288	0.940	bicubic	-74.563	-46.163	-56
560	deit_small_distilled_patch16_224.fb_in1k	20.733	79.267	55.133	44.867	22.44	224	0.900	bicubic	-73.977	-43.897	+61
561	sebotnet33ts_256.a1h_in1k	20.720	79.280	48.733	51.267	13.70	256	0.940	bicubic	-73.890	-49.777	+83
562	regnety_032.tv2_in1k	20.560	79.440	54.360	45.640	19.44	224	0.965	bicubic	-74.750	-44.550	-36
563	resnet152.tv2_in1k	20.493	79.507	52.333	47.667	60.19	224	0.965	bilinear	-75.007	-46.627	-77
564	ecaresnetlight.miil_in1k	20.467	79.533	53.413	46.587	30.16	288	0.950	bicubic	-74.823	-45.617	-36
565	resnest50d_4s2x40d.in1k	20.387	79.613	52.773	47.227	30.42	224	0.875	bicubic	-74.583	-46.007	+18
566	resnetaa50.a1h_in1k	20.067	79.933	51.947	48.053	25.56	288	1.000	bicubic	-75.133	-46.973	-24
567	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	20.040	79.960	53.560	46.440	25.03	224	0.875	bilinear	-74.820	-45.300	+31
568	haloregnetz_b.ra3_in1k	20.013	79.987	49.987	50.013	11.68	224	0.940	bicubic	-74.677	-48.843	+56
569	regnetz_b16.ra3_in1k	19.813	80.187	52.853	47.147	9.72	288	1.000	bicubic	-75.357	-46.227	-23
570	xcit_nano_12_p8_384.fb_dist_in1k	19.787	80.213	50.587	49.413	3.05	384	1.000	bicubic	-73.733	-47.943	+205
571	resnext50_32x4d.a1_in1k	19.733	80.267	50.173	49.827	25.03	288	1.000	bicubic	-75.087	-48.427	+37
572	tresnet_xl.miil_in1k	19.653	80.347	53.160	46.840	78.44	224	0.875	bilinear	-75.787	-45.630	-72
573	senet154.gluon_in1k	19.320	80.680	47.600	52.400	115.09	224	0.875	bicubic	-75.600	-51.160	+17
574	rexnet_200.nav_in1k	19.227	80.773	52.627	47.373	16.37	224	0.875	bicubic	-75.713	-46.383	+11
575	levit_conv_256.fb_dist_in1k	19.187	80.813	50.067	49.933	18.89	224	0.900	bicubic	-75.833	-48.863	0
576	levit_256.fb_dist_in1k	19.173	80.827	50.107	49.893	18.89	224	0.900	bicubic	-75.847	-48.773	-2
577	lambda_resnet50ts.a1h_in1k	19.147	80.853	49.240	50.760	21.54	256	0.950	bicubic	-75.623	-49.450	+33
578	repvgg_b3.rvgg_in1k	19.080	80.920	50.307	49.693	123.09	224	0.875	bilinear	-75.470	-48.403	+72
579	mixer_b16_224.miil_in21k_ft_in1k	19.040	80.960	51.213	48.787	59.88	224	0.875	bilinear	-76.260	-47.667	-53
580	legacy_senet154.in1k	19.040	80.960	47.960	52.040	115.09	224	0.875	bilinear	-76.030	-50.870	-11
581	resnet50d.a1_in1k	18.960	81.040	48.813	51.187	25.58	288	1.000	bicubic	-75.770	-49.937	+38
582	seresnext101_64x4d.gluon_in1k	18.933	81.067	49.213	50.787	88.23	224	0.875	bicubic	-75.997	-49.617	+5
583	deit_small_patch16_224.fb_in1k	18.893	81.107	51.387	48.613	22.05	224	0.900	bicubic	-75.477	-47.313	+93
584	mobilevitv2_200.cvnets_in1k	18.893	81.107	50.520	49.480	18.45	256	0.888	bicubic	-75.947	-48.010	+20
585	gcvit_xxtiny.in1k	18.787	81.213	53.307	46.693	12.00	224	0.875	bicubic	-75.633	-45.583	+86
586	edgenext_small.usi_in1k	18.680	81.320	53.600	46.400	5.59	320	1.000	bicubic	-76.720	-45.270	-74
587	tf_efficientnet_b1.ns_jft_in1k	18.640	81.360	51.760	48.240	7.79	240	0.882	bicubic	-76.520	-47.200	-40
588	regnetx_080.tv2_in1k	18.573	81.427	50.333	49.667	39.57	224	0.965	bicubic	-76.527	-48.497	-24
589	ecaresnet50t.a2_in1k	18.533	81.467	48.773	51.227	25.57	288	1.000	bicubic	-76.817	-50.087	-70
590	poolformer_s36.sail_in1k	18.493	81.507	52.187	47.813	30.86	224	0.900	bicubic	-76.587	-46.723	-23
591	wide_resnet50_2.tv2_in1k	18.467	81.533	52.453	47.547	68.88	224	0.965	bilinear	-76.403	-46.457	+5
592	cait_xxs36_224.fb_dist_in1k	18.307	81.693	49.480	50.520	17.30	224	1.000	bicubic	-75.963	-49.230	+97
593	cs3darknet_l.c2ns_in1k	18.293	81.707	51.840	48.160	21.16	288	0.950	bicubic	-76.827	-47.140	-34
594	seresnet50.ra2_in1k	18.293	81.707	51.253	48.747	28.09	288	0.950	bicubic	-77.037	-47.757	-72
595	sehalonet33ts.ra2_in1k	18.227	81.773	47.733	52.267	13.69	256	0.940	bicubic	-76.533	-50.837	+17
596	ese_vovnet39b.ra_in1k	18.200	81.800	49.880	50.120	24.57	288	0.950	bicubic	-76.670	-49.060	+1
597	tf_efficientnet_lite4.in1k	18.133	81.867	50.707	49.293	13.01	380	0.920	bilinear	-76.747	-48.313	-2
598	vit_tiny_patch16_384.augreg_in21k_ft_in1k	18.013	81.987	50.320	49.680	5.79	384	1.000	bicubic	-75.637	-48.270	+163
599	gcresnet50t.ra2_in1k	17.880	82.120	49.413	50.587	25.90	288	1.000	bicubic	-77.360	-49.567	-63
600	resnet50d.ra2_in1k	17.853	82.147	50.240	49.760	25.58	288	0.950	bicubic	-77.157	-48.790	-22
601	mobilevitv2_175.cvnets_in1k	17.787	82.213	49.747	50.253	14.25	256	0.888	bicubic	-77.103	-49.113	-9
602	resnest50d_1s4x24d.in1k	17.640	82.360	49.760	50.240	25.68	224	0.875	bicubic	-77.090	-49.220	+12
603	resnetv2_50.a1h_in1k	17.573	82.427	49.813	50.187	25.55	288	1.000	bicubic	-77.277	-49.057	0
604	resnet50.c2_in1k	17.533	82.467	49.760	50.240	25.56	288	1.000	bicubic	-77.387	-49.050	-15
605	resnest50d.in1k	17.360	82.640	50.720	49.280	27.48	224	0.875	bilinear	-77.490	-48.160	-3
606	convnext_pico.d1_in1k	17.347	82.653	50.200	49.800	9.05	288	0.950	bicubic	-77.413	-48.510	+5
607	seresnext101_32x4d.gluon_in1k	17.333	82.667	46.373	53.627	48.96	224	0.875	bicubic	-77.557	-52.447	-13
608	efficientnet_el.ra_in1k	17.320	82.680	50.027	49.973	10.59	300	0.904	bicubic	-77.800	-48.943	-48
609	inception_v4.tf_in1k	17.293	82.707	45.867	54.133	42.68	299	0.875	bicubic	-77.077	-52.713	+68
610	tf_efficientnet_b3.ap_in1k	17.227	82.773	49.693	50.307	12.23	300	0.904	bicubic	-78.093	-49.207	-87
611	gcresnext50ts.ch_in1k	17.173	82.827	48.107	51.893	15.67	288	1.000	bicubic	-77.687	-50.703	-12
612	xcit_tiny_24_p16_224.fb_dist_in1k	17.160	82.840	47.507	52.493	12.12	224	1.000	bicubic	-77.380	-51.293	+44
613	regnetx_032.tv2_in1k	17.067	82.933	48.107	51.893	15.30	224	0.965	bicubic	-77.593	-50.743	+15
614	xception71.tf_in1k	17.027	82.973	45.560	54.440	42.34	299	0.903	bicubic	-77.273	-53.090	+73
615	regnety_016.tv2_in1k	16.973	83.027	49.827	50.173	11.20	224	0.965	bicubic	-77.547	-48.993	+43
616	tf_efficientnet_b3.aa_in1k	16.973	83.027	49.293	50.707	12.23	300	0.904	bicubic	-78.027	-49.617	-37
617	cs3darknet_focus_l.c2ns_in1k	16.960	83.040	50.493	49.507	21.15	288	0.950	bicubic	-78.200	-48.387	-69
618	convnextv2_pico.fcmae_ft_in1k	16.907	83.093	50.307	49.693	9.07	288	0.950	bicubic	-78.323	-48.613	-80
619	resmlp_36_224.fb_distilled_in1k	16.880	83.120	51.493	48.507	44.69	224	0.875	bicubic	-78.010	-47.367	-26
620	resnext101_64x4d.gluon_in1k	16.867	83.133	44.147	55.853	83.46	224	0.875	bicubic	-77.803	-54.513	+7
621	poolformerv2_s36.sail_in1k	16.680	83.320	49.600	50.400	30.79	224	1.000	bicubic	-78.630	-49.320	-96
622	resnet152d.gluon_in1k	16.627	83.373	44.213	55.787	60.21	224	0.875	bicubic	-78.103	-54.277	-5
623	tf_efficientnetv2_b3.in1k	16.600	83.400	48.680	51.320	14.36	300	0.904	bicubic	-78.580	-50.140	-78
624	gmlp_s16_224.ra3_in1k	16.547	83.453	45.080	54.920	19.42	224	0.875	bicubic	-77.603	-53.590	+82
625	resnet152s.gluon_in1k	16.547	83.453	44.480	55.520	60.32	224	0.875	bicubic	-78.473	-54.400	-52
626	tresnet_l.miil_in1k	16.520	83.480	49.893	50.107	55.99	224	0.875	bilinear	-78.760	-49.067	-97
627	inception_resnet_v2.tf_in1k	16.520	83.480	44.960	55.040	55.84	299	0.897	bicubic	-78.060	-53.830	+19
628	convnext_pico_ols.d1_in1k	16.493	83.507	49.707	50.293	9.06	288	1.000	bicubic	-78.127	-49.153	+14
629	seresnet50.a1_in1k	16.493	83.507	46.760	53.240	28.09	288	1.000	bicubic	-78.167	-52.020	+2
630	resmlp_24_224.fb_distilled_in1k	16.453	83.547	50.347	49.653	30.02	224	0.875	bicubic	-77.997	-48.423	+38
631	mobilevitv2_150.cvnets_in1k	16.453	83.547	48.453	51.547	10.59	256	0.888	bicubic	-78.097	-50.327	+21
632	resnet101.tv2_in1k	16.413	83.587	48.720	51.280	44.55	224	0.965	bilinear	-78.857	-50.190	-100
633	gernet_l.idstcv_in1k	16.320	83.680	47.227	52.773	31.08	256	0.875	bilinear	-78.790	-51.753	-70
634	inception_resnet_v2.tf_ens_adv_in1k	16.280	83.720	43.627	56.373	55.84	299	0.897	bicubic	-77.890	-54.913	+66
635	repvgg_b3g4.rvgg_in1k	16.227	83.773	47.653	52.347	83.83	224	0.875	bilinear	-78.283	-51.317	+25
636	xcit_tiny_24_p16_224.fb_in1k	16.227	83.773	46.000	54.000	12.12	224	1.000	bicubic	-77.853	-52.540	+78
637	resnet50.a1_in1k	16.040	83.960	45.773	54.227	25.56	288	1.000	bicubic	-78.700	-52.937	-24
638	xception65.tf_in1k	16.040	83.960	43.773	56.227	39.92	299	0.903	bicubic	-77.750	-54.597	+108
639	resnet50.c1_in1k	16.000	84.000	47.387	52.613	25.56	288	1.000	bicubic	-78.730	-51.433	-24
640	ecaresnet50d_pruned.miil_in1k	15.987	84.013	49.707	50.293	19.94	288	0.950	bicubic	-79.123	-49.193	-78
641	edgenext_small_rw.sw_in1k	15.987	84.013	49.667	50.333	7.83	320	1.000	bicubic	-78.683	-49.113	-15
642	resnet50.fb_ssl_yfcc100m_ft_in1k	15.933	84.067	49.413	50.587	25.56	224	0.875	bilinear	-78.517	-49.327	+26
643	resnext50_32x4d.ra_in1k	15.880	84.120	47.227	52.773	25.03	288	0.950	bicubic	-78.820	-51.533	-21
644	resnet50.d_in1k	15.640	84.360	45.160	54.840	25.56	288	1.000	bicubic	-79.340	-53.680	-62
645	regnety_320.pycls_in1k	15.627	84.373	44.760	55.240	145.05	224	0.875	bicubic	-78.913	-54.030	+8
646	vit_base_patch32_384.augreg_in1k	15.600	84.400	44.147	55.853	88.30	384	1.000	bicubic	-78.040	-54.253	+118
647	convmixer_768_32.in1k	15.507	84.493	47.907	52.093	21.11	224	0.960	bicubic	-78.993	-50.953	+15
648	ecaresnet26t.ra2_in1k	15.453	84.547	47.960	52.040	16.01	320	0.950	bicubic	-78.867	-50.760	+35
649	resnext50d_32x4d.bt_in1k	15.413	84.587	46.200	53.800	25.05	288	0.950	bicubic	-79.137	-52.490	+3
650	coat_tiny.in1k	15.400	84.600	45.587	54.413	5.50	224	0.900	bicubic	-78.180	-52.833	+118
651	resnet50d.a2_in1k	15.387	84.613	44.813	55.187	25.58	288	1.000	bicubic	-79.193	-53.877	-5
652	skresnext50_32x4d.ra_in1k	15.387	84.613	44.560	55.440	27.48	224	0.875	bicubic	-78.853	-53.900	+38
653	resnext50_32x4d.a2_in1k	15.293	84.707	45.253	54.747	25.03	288	1.000	bicubic	-79.287	-53.397	-6
654	seresnet33ts.ra2_in1k	15.267	84.733	47.360	52.640	19.78	288	1.000	bicubic	-79.773	-51.540	-85
655	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	15.240	84.760	42.640	57.360	119.42	256	0.900	bicubic	-78.500	-55.900	+99
656	cait_xxs24_224.fb_dist_in1k	15.160	84.840	44.893	55.107	11.96	224	1.000	bicubic	-78.450	-53.567	+111
657	eca_resnet33ts.ra2_in1k	15.053	84.947	49.000	51.000	19.68	288	1.000	bicubic	-79.567	-49.760	-19
658	vit_base_patch16_224.augreg_in1k	15.000	85.000	42.013	57.987	86.57	224	0.900	bicubic	-78.630	-56.227	+107
659	levit_conv_192.fb_dist_in1k	14.907	85.093	44.933	55.067	10.95	224	0.900	bicubic	-79.263	-53.747	+43
660	levit_192.fb_dist_in1k	14.880	85.120	44.933	55.067	10.95	224	0.900	bicubic	-79.290	-53.607	+41
661	seresnet50.a2_in1k	14.840	85.160	44.400	55.600	28.09	288	1.000	bicubic	-79.820	-54.320	-31
662	poolformerv2_s24.sail_in1k	14.800	85.200	45.920	54.080	21.34	224	1.000	bicubic	-79.850	-52.880	-30
663	rexnet_150.nav_in1k	14.720	85.280	46.880	53.120	9.73	224	0.875	bicubic	-79.760	-51.920	+1
664	darknet53.c2ns_in1k	14.693	85.307	47.107	52.893	41.61	288	1.000	bicubic	-79.927	-51.793	-25
665	gcresnet33ts.ra2_in1k	14.667	85.333	46.320	53.680	19.88	288	1.000	bicubic	-80.253	-52.490	-77
666	resnet50.tv2_in1k	14.640	85.360	46.973	53.027	25.56	224	0.965	bilinear	-80.020	-51.817	-37
667	res2net50d.in1k	14.627	85.373	44.480	55.520	25.72	224	0.875	bilinear	-79.693	-54.160	+18
668	darknetaa53.c2ns_in1k	14.560	85.440	45.413	54.587	36.02	288	1.000	bilinear	-79.910	-53.407	-3
669	coat_lite_mini.in1k	14.560	85.440	44.493	55.507	11.01	224	0.900	bicubic	-79.480	-53.997	+50
670	efficientnet_el_pruned.in1k	14.493	85.507	46.120	53.880	10.59	300	0.904	bicubic	-79.907	-52.620	+3
671	efficientnet_b2.ra_in1k	14.440	85.560	46.053	53.947	9.11	288	1.000	bicubic	-80.180	-52.727	-28
672	poolformer_s24.sail_in1k	14.293	85.707	47.347	52.653	21.39	224	0.900	bicubic	-80.267	-51.553	-23
673	legacy_seresnext101_32x4d.in1k	14.173	85.827	43.000	57.000	48.96	224	0.875	bilinear	-80.187	-55.860	+6
674	fbnetv3_d.ra2_in1k	14.093	85.907	46.467	53.533	10.31	256	0.950	bilinear	-79.827	-52.153	+56
675	gernet_m.idstcv_in1k	14.080	85.920	46.080	53.920	21.14	224	0.875	bilinear	-80.540	-52.830	-35
676	pvt_v2_b1.in1k	14.027	85.973	47.747	52.253	14.01	224	0.900	bicubic	-79.773	-50.913	+69
677	mobilevitv2_125.cvnets_in1k	14.013	85.987	45.027	54.973	7.48	256	0.888	bicubic	-79.947	-53.523	+50
678	dpn68b.ra_in1k	13.893	86.107	40.280	59.720	12.61	288	1.000	bicubic	-80.107	-58.220	+45
679	resnext101_32x4d.gluon_in1k	13.853	86.147	41.640	58.360	44.18	224	0.875	bicubic	-80.687	-57.140	-22
680	seresnext50_32x4d.gluon_in1k	13.653	86.347	43.733	56.267	27.56	224	0.875	bicubic	-80.677	-54.877	+2
681	pit_xs_distilled_224.in1k	13.573	86.427	45.160	54.840	11.00	224	0.900	bicubic	-80.197	-53.460	+67
682	resnet152.a3_in1k	13.547	86.453	43.400	56.600	60.19	224	0.950	bicubic	-81.183	-55.280	-64
683	resmlp_36_224.fb_in1k	13.467	86.533	46.667	53.333	44.69	224	0.875	bicubic	-80.723	-51.943	+12
684	repvgg_b2g4.rvgg_in1k	13.467	86.533	43.853	56.147	61.76	224	0.875	bilinear	-80.413	-54.807	+55
685	efficientformerv2_s1.snap_dist_in1k	13.440	86.560	42.947	57.053	6.19	224	0.950	bicubic	-80.760	-55.693	+10
686	vit_small_patch16_224.augreg_in1k	13.387	86.613	41.440	58.560	22.05	224	0.900	bicubic	-80.503	-57.000	+50
687	eca_botnext26ts_256.c1_in1k	13.320	86.680	42.133	57.867	10.59	256	0.950	bicubic	-80.460	-56.367	+60
688	visformer_tiny.in1k	13.307	86.693	43.933	56.067	10.32	224	0.900	bicubic	-80.253	-54.457	+82
689	regnetx_320.pycls_in1k	13.293	86.707	40.747	59.253	107.81	224	0.875	bicubic	-81.157	-58.173	-19
690	resnet101d.gluon_in1k	13.187	86.813	41.560	58.440	44.57	224	0.875	bicubic	-81.043	-56.980	+2
691	efficientnet_b3_pruned.in1k	13.160	86.840	45.200	54.800	9.86	300	0.904	bicubic	-81.470	-53.610	-56
692	resnet50.b1k_in1k	13.093	86.907	43.947	56.053	25.56	288	1.000	bicubic	-81.767	-54.923	-92
693	mixnet_xl.ra_in1k	13.080	86.920	43.213	56.787	11.90	224	0.875	bicubic	-81.100	-55.117	+5
694	cspresnext50.ra_in1k	13.053	86.947	44.973	55.027	20.57	256	0.887	bilinear	-81.777	-53.797	-88
695	efficientformer_l1.snap_dist_in1k	13.013	86.987	45.600	54.400	12.29	224	0.950	bicubic	-81.467	-53.230	-32
696	regnetx_016.tv2_in1k	13.000	87.000	45.427	54.573	9.19	224	0.965	bicubic	-81.130	-53.323	+14
697	nf_regnet_b1.ra2_in1k	12.947	87.053	44.400	55.600	10.22	288	0.900	bicubic	-81.163	-54.220	+13
698	eca_halonext26ts.c1_in1k	12.947	87.053	42.827	57.173	10.76	256	0.940	bicubic	-81.093	-55.833	+22
699	mobilevit_s.cvnets_in1k	12.907	87.093	40.747	59.253	5.58	256	0.900	bicubic	-80.273	-57.683	+111
700	pit_xs_224.in1k	12.800	87.200	42.813	57.187	10.62	224	0.900	bicubic	-80.300	-55.517	+119
701	tf_efficientnet_b3.in1k	12.787	87.213	43.640	56.360	12.23	300	0.904	bicubic	-81.753	-55.210	-47
702	resnet50.b2k_in1k	12.760	87.240	44.133	55.867	25.56	288	1.000	bicubic	-81.970	-54.797	-86
703	resnext50_32x4d.tv2_in1k	12.680	87.320	43.120	56.880	25.03	224	0.965	bilinear	-81.940	-55.590	-62
704	inception_v3.gluon_in1k	12.627	87.373	40.427	59.573	23.83	299	0.875	bicubic	-80.843	-58.143	+77
705	tresnet_m.miil_in1k	12.613	87.387	41.907	58.093	31.39	224	0.875	bilinear	-82.017	-56.643	-68
706	resnet50.a1h_in1k	12.600	87.400	44.227	55.773	25.56	224	1.000	bicubic	-82.170	-54.243	-97
707	crossvit_9_dagger_240.in1k	12.560	87.440	41.733	58.267	8.78	240	0.875	bicubic	-80.340	-56.507	+130
708	resnetblur50.bt_in1k	12.493	87.507	44.147	55.853	25.56	288	0.950	bicubic	-81.967	-54.693	-42
709	resmlp_24_224.fb_in1k	12.493	87.507	43.413	56.587	30.02	224	0.875	bicubic	-81.537	-54.917	+12
710	convnext_femto_ols.d1_in1k	12.480	87.520	43.933	56.067	5.23	288	0.950	bicubic	-81.440	-54.807	+21
711	coat_lite_tiny.in1k	12.467	87.533	41.053	58.947	5.72	224	0.900	bicubic	-80.773	-57.207	+95
712	efficientnet_em.ra2_in1k	12.413	87.587	43.933	56.067	6.90	240	0.882	bicubic	-81.427	-54.887	+28
713	regnety_120.pycls_in1k	12.400	87.600	42.173	57.827	51.82	224	0.875	bicubic	-82.070	-56.587	-48
714	regnety_160.pycls_in1k	12.227	87.773	41.387	58.613	83.59	224	0.875	bicubic	-82.133	-57.243	-36
715	resnet50.a2_in1k	12.173	87.827	40.453	59.547	25.56	288	1.000	bicubic	-82.457	-58.207	-79
716	ecaresnet50t.a3_in1k	12.147	87.853	41.573	58.427	25.57	224	0.950	bicubic	-82.203	-57.097	-36
717	hrnet_w64.ms_in1k	12.000	88.000	40.840	59.160	128.06	224	0.875	bilinear	-82.020	-57.750	+4
718	cspdarknet53.ra_in1k	11.960	88.040	43.267	56.733	27.64	256	0.887	bilinear	-82.690	-55.573	-85
719	xcit_tiny_12_p16_224.fb_dist_in1k	11.933	88.067	40.120	59.880	6.72	224	1.000	bicubic	-81.477	-58.390	+69
720	resnet101s.gluon_in1k	11.893	88.107	40.960	59.040	44.67	224	0.875	bicubic	-82.827	-57.860	-100
721	resnet101.a3_in1k	11.867	88.133	40.827	59.173	44.55	224	0.950	bicubic	-82.173	-57.723	-5
722	gmixer_24_224.ra3_in1k	11.867	88.133	37.800	62.200	24.72	224	0.875	bicubic	-80.963	-60.080	+120
723	nf_resnet50.ra2_in1k	11.773	88.227	45.907	54.093	25.56	288	0.940	bicubic	-82.767	-52.723	-68
724	fbnetv3_b.ra2_in1k	11.733	88.267	44.400	55.600	8.60	256	0.950	bilinear	-82.237	-54.090	0
725	dpn92.mx_in1k	11.640	88.360	40.160	59.840	37.67	224	0.875	bicubic	-82.650	-58.590	-37
726	botnet26t_256.c1_in1k	11.613	88.387	40.107	59.893	12.49	256	0.950	bicubic	-81.897	-58.193	+50
727	convnextv2_femto.fcmae_ft_in1k	11.600	88.400	40.800	59.200	5.23	288	0.950	bicubic	-82.590	-57.860	-30
728	xception41.tf_in1k	11.573	88.427	39.107	60.893	26.97	299	0.903	bicubic	-81.847	-59.323	+58
729	dla102x2.in1k	11.560	88.440	41.293	58.707	41.28	224	0.875	bilinear	-82.410	-57.227	-3
730	vit_small_patch32_224.augreg_in21k_ft_in1k	11.507	88.493	39.547	60.453	22.88	224	0.900	bicubic	-80.533	-58.743	+161
731	levit_128.fb_dist_in1k	11.440	88.560	40.187	59.813	9.21	224	0.900	bicubic	-81.900	-58.183	+64
732	levit_conv_128.fb_dist_in1k	11.440	88.560	40.173	59.827	9.21	224	0.900	bicubic	-81.910	-58.197	+61
733	lambda_resnet26t.c1_in1k	11.387	88.613	40.187	59.813	10.96	256	0.940	bicubic	-82.443	-58.463	+9
734	seresnext26t_32x4d.bt_in1k	11.373	88.627	41.107	58.893	16.81	288	0.950	bicubic	-82.187	-57.383	+36
735	regnety_080.pycls_in1k	11.373	88.627	40.613	59.387	39.18	224	0.875	bicubic	-82.797	-58.007	-35
736	tf_efficientnet_el.in1k	11.347	88.653	42.040	57.960	10.59	300	0.904	bicubic	-83.053	-56.670	-62
737	efficientnet_b2_pruned.in1k	11.333	88.667	42.040	57.960	8.31	260	0.890	bicubic	-82.807	-56.670	-28
738	resnet50.ra_in1k	11.333	88.667	41.013	58.987	25.56	288	0.950	bicubic	-82.877	-57.607	-45
739	convnext_femto.d1_in1k	11.213	88.787	42.773	57.227	5.22	288	0.950	bicubic	-82.717	-55.747	-10
740	xcit_nano_12_p16_384.fb_dist_in1k	11.213	88.787	39.827	60.173	3.05	384	1.000	bicubic	-80.617	-57.863	+164
741	resnet152c.gluon_in1k	11.120	88.880	37.133	62.867	60.21	224	0.875	bicubic	-83.040	-61.457	-38
742	hrnet_w48.ms_in1k	11.093	88.907	40.280	59.720	77.47	224	0.875	bilinear	-82.827	-58.330	-11
743	halonet26t.a1h_in1k	11.093	88.907	38.800	61.200	12.48	256	0.950	bicubic	-82.907	-59.540	-20
744	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	11.080	88.920	39.933	60.067	6.36	384	1.000	bicubic	-80.960	-58.297	+146
745	mobilevitv2_100.cvnets_in1k	11.067	88.933	40.613	59.387	4.90	256	0.888	bicubic	-82.223	-57.667	+59
746	inception_v3.tf_adv_in1k	11.013	88.987	36.733	63.267	23.83	299	0.875	bicubic	-81.887	-61.407	+92
747	tf_efficientnet_b0.ns_jft_in1k	11.000	89.000	40.093	59.907	5.29	224	0.875	bicubic	-82.620	-58.547	+19
748	tf_efficientnetv2_b2.in1k	11.000	89.000	39.747	60.253	10.10	260	0.890	bicubic	-83.420	-58.833	-76
749	seresnext26d_32x4d.bt_in1k	10.987	89.013	41.347	58.653	16.81	288	0.950	bicubic	-82.453	-56.983	+35
750	xcit_tiny_12_p16_224.fb_in1k	10.987	89.013	37.067	62.933	6.72	224	1.000	bicubic	-81.523	-61.173	+116
751	regnety_008_tv.tv2_in1k	10.840	89.160	40.547	59.453	6.43	224	0.965	bicubic	-82.850	-57.943	+6
752	resnet34d.ra2_in1k	10.827	89.173	38.653	61.347	21.82	288	0.950	bicubic	-82.813	-59.887	+8
753	dpn107.mx_in1k	10.827	89.173	38.307	61.693	86.92	224	0.875	bicubic	-83.513	-60.193	-71
754	inception_v3.tf_in1k	10.827	89.173	36.853	63.147	23.83	299	0.875	bicubic	-82.493	-61.527	+47
755	xcit_nano_12_p8_224.fb_dist_in1k	10.760	89.240	38.120	61.880	3.05	224	1.000	bicubic	-81.330	-60.040	+132
756	tf_efficientnet_b2.ap_in1k	10.547	89.453	40.133	59.867	9.11	260	0.890	bicubic	-83.963	-58.487	-96
757	densenetblur121d.ra_in1k	10.547	89.453	39.707	60.293	8.00	288	0.950	bicubic	-82.073	-58.553	+100
758	dpn131.mx_in1k	10.533	89.467	36.787	63.213	79.25	224	0.875	bicubic	-83.517	-61.923	-42
759	rexnet_130.nav_in1k	10.413	89.587	41.547	58.453	7.56	224	0.875	bicubic	-83.487	-56.853	-24
760	hrnet_w44.ms_in1k	10.307	89.693	39.480	60.520	67.06	224	0.875	bilinear	-83.243	-59.120	+12
761	xcit_nano_12_p8_224.fb_in1k	10.293	89.707	36.960	63.040	3.05	224	1.000	bicubic	-80.717	-60.820	+166
762	resnext50_32x4d.a3_in1k	10.253	89.747	38.200	61.800	25.03	224	0.950	bicubic	-83.407	-60.320	-2
763	lambda_resnet26rpt_256.c1_in1k	10.227	89.773	38.120	61.880	10.99	256	0.940	bicubic	-83.483	-60.400	-7
764	resnext101_32x8d.tv_in1k	10.173	89.827	37.747	62.253	88.79	224	0.875	bilinear	-83.647	-60.833	-21
765	regnetx_160.pycls_in1k	10.133	89.867	38.053	61.947	54.28	224	0.875	bicubic	-84.007	-60.467	-58
766	legacy_seresnext50_32x4d.in1k	10.093	89.907	39.213	60.787	27.56	224	0.875	bilinear	-83.657	-59.367	-16
767	resnetrs50.tf_in1k	10.053	89.947	37.560	62.440	35.69	224	0.910	bicubic	-84.267	-60.970	-83
768	dpn98.mx_in1k	10.013	89.987	36.187	63.813	61.57	224	0.875	bicubic	-84.147	-62.453	-64
769	inception_v3.tv_in1k	10.013	89.987	35.213	64.787	23.83	299	0.875	bicubic	-82.737	-63.057	+80
770	efficientnet_b1.ft_in1k	10.000	90.000	37.600	62.400	7.79	256	1.000	bicubic	-83.250	-60.690	+35
771	legacy_xception.tf_in1k	9.987	90.013	37.987	62.013	22.86	299	0.897	bicubic	-83.473	-60.543	+12
772	resnet33ts.ra2_in1k	9.973	90.027	39.813	60.187	19.68	288	1.000	bicubic	-84.127	-58.837	-59
773	regnety_064.pycls_in1k	9.933	90.067	39.093	60.907	30.58	224	0.875	bicubic	-84.207	-59.657	-65
774	resnet152.gluon_in1k	9.747	90.253	36.067	63.933	60.19	224	0.875	bicubic	-84.323	-62.393	-59
775	tf_efficientnet_lite3.in1k	9.680	90.320	39.013	60.987	8.20	300	0.904	bilinear	-84.520	-59.617	-81
776	tf_efficientnet_b2.aa_in1k	9.667	90.333	38.893	61.107	9.11	260	0.890	bicubic	-84.713	-59.717	-101
777	tf_efficientnet_cc_b1_8e.in1k	9.573	90.427	36.827	63.173	39.72	240	0.882	bicubic	-84.347	-61.433	-44
778	res2net101_26w_4s.in1k	9.507	90.493	35.093	64.907	45.21	224	0.875	bilinear	-84.213	-63.227	-23
779	resnet50.ram_in1k	9.480	90.520	35.507	64.493	25.56	288	0.950	bicubic	-85.040	-63.143	-120
780	legacy_seresnet152.in1k	9.333	90.667	37.373	62.627	66.82	224	0.875	bilinear	-84.037	-60.967	+11
781	cspresnet50.ra_in1k	9.280	90.720	39.613	60.387	21.62	256	0.887	bilinear	-84.470	-59.027	-32
782	resnet34.a1_in1k	9.267	90.733	34.947	65.053	21.80	288	1.000	bicubic	-83.833	-63.373	+36
783	hrnet_w40.ms_in1k	9.253	90.747	36.947	63.053	57.56	224	0.875	bilinear	-84.247	-61.623	-5
784	resnet32ts.ra2_in1k	9.213	90.787	38.613	61.387	17.96	288	1.000	bicubic	-84.617	-60.027	-44
785	regnetx_120.pycls_in1k	9.213	90.787	37.200	62.800	46.11	224	0.875	bicubic	-85.017	-61.470	-93
786	crossvit_tiny_240.in1k	9.107	90.893	34.600	65.400	7.01	240	0.875	bicubic	-81.123	-62.990	+161
787	resnest26d.gluon_in1k	9.053	90.947	37.827	62.173	17.07	224	0.875	bilinear	-84.267	-60.533	+10
788	resnet50d.a3_in1k	9.040	90.960	37.320	62.680	25.58	224	0.950	bicubic	-84.430	-61.130	-6
789	vit_tiny_patch16_224.augreg_in21k_ft_in1k	9.040	90.960	34.627	65.373	5.72	224	0.900	bicubic	-82.720	-63.143	+117
790	gcresnext26ts.ch_in1k	8.987	91.013	36.920	63.080	10.48	288	1.000	bicubic	-84.173	-61.450	+24
791	vit_base_patch16_224.sam_in1k	8.987	91.013	36.120	63.880	86.57	224	0.900	bicubic	-85.163	-62.380	-86
792	regnety_040.pycls_in1k	8.933	91.067	37.053	62.947	20.65	224	0.875	bicubic	-84.947	-61.467	-55
793	resnext50_32x4d.gluon_in1k	8.933	91.067	36.307	63.693	25.03	224	0.875	bicubic	-84.877	-62.113	-49
794	bat_resnext26ts.ch_in1k	8.893	91.107	36.440	63.560	10.73	256	0.900	bicubic	-84.427	-62.180	+5
795	rexnet_100.nav_in1k	8.893	91.107	36.400	63.600	4.80	224	0.875	bicubic	-84.127	-61.900	+33
796	mixnet_l.ft_in1k	8.880	91.120	36.227	63.773	7.33	224	0.875	bicubic	-84.550	-61.993	-11
797	convit_tiny.fb_in1k	8.867	91.133	34.307	65.693	5.71	224	0.875	bicubic	-81.793	-63.423	+142
798	mobilenetv3_large_100.miil_in21k_ft_in1k	8.853	91.147	33.067	66.933	5.48	224	0.875	bilinear	-83.407	-64.563	+81
799	hrnet_w18.ms_aug_in1k	8.747	91.253	38.787	61.213	21.30	224	0.950	bilinear	-84.803	-59.913	-26
800	levit_conv_128s.fb_dist_in1k	8.653	91.347	33.093	66.907	7.78	224	0.900	bicubic	-83.307	-64.967	+98
801	resnet50.bt_in1k	8.640	91.360	38.720	61.280	25.56	288	0.950	bicubic	-85.670	-59.920	-117
802	dla169.in1k	8.640	91.360	35.973	64.027	53.39	224	0.875	bilinear	-84.720	-62.637	-9
803	levit_128s.fb_dist_in1k	8.640	91.360	33.067	66.933	7.78	224	0.900	bicubic	-83.320	-64.993	+95
804	mixer_b16_224.goog_in21k_ft_in1k	8.627	91.373	29.413	70.587	59.88	224	0.875	bicubic	-83.253	-67.847	+97
805	hrnet_w30.ms_in1k	8.587	91.413	37.040	62.960	37.71	224	0.875	bilinear	-84.613	-61.450	+3
806	eca_resnext26ts.ch_in1k	8.560	91.440	36.827	63.173	10.30	288	1.000	bicubic	-84.500	-61.573	+18
807	legacy_seresnet101.in1k	8.560	91.440	35.960	64.040	49.33	224	0.875	bilinear	-84.750	-62.560	-5
808	convnext_atto_ols.a2_in1k	8.533	91.467	35.000	65.000	3.70	288	0.950	bicubic	-84.557	-63.470	+12
809	tf_efficientnet_b2.in1k	8.520	91.480	36.507	63.493	9.11	260	0.890	bicubic	-85.590	-61.943	-97
810	tf_efficientnet_b1.ap_in1k	8.453	91.547	35.213	64.787	7.79	240	0.882	bicubic	-85.227	-63.147	-52
811	repvgg_b2.rvgg_in1k	8.440	91.560	36.480	63.520	89.02	224	0.875	bilinear	-85.060	-62.020	-34
812	resmlp_12_224.fb_distilled_in1k	8.307	91.693	36.853	63.147	15.35	224	0.875	bicubic	-84.513	-61.287	+30
813	ese_vovnet19b_dw.ra_in1k	8.280	91.720	37.000	63.000	6.54	288	0.950	bicubic	-84.870	-61.250	+2
814	crossvit_9_240.in1k	8.267	91.733	34.107	65.893	8.55	240	0.875	bicubic	-82.373	-63.623	+126
815	dla102x.in1k	8.200	91.800	37.027	62.973	26.31	224	0.875	bilinear	-85.300	-61.703	-36
816	seresnext26ts.ch_in1k	8.147	91.853	36.093	63.907	10.39	288	1.000	bicubic	-84.813	-62.087	+17
817	hrnet_w32.ms_in1k	8.067	91.933	37.547	62.453	41.23	224	0.875	bilinear	-85.463	-60.913	-43
818	resnet101c.gluon_in1k	8.027	91.973	33.320	66.680	44.57	224	0.875	bicubic	-85.643	-65.100	-59
819	vit_base_patch32_224.augreg_in1k	7.987	92.013	30.453	69.547	88.22	224	0.900	bicubic	-83.203	-66.937	+103
820	cs3darknet_m.c2ns_in1k	7.960	92.040	36.507	63.493	9.31	288	0.950	bicubic	-85.380	-62.093	-26
821	poolformerv2_s12.sail_in1k	7.960	92.040	34.560	65.440	11.89	224	1.000	bicubic	-85.000	-63.800	+13
822	resnet50d.gluon_in1k	7.947	92.053	35.000	65.000	25.58	224	0.875	bicubic	-85.803	-63.390	-71
823	resnet26t.ra2_in1k	7.893	92.107	36.720	63.280	16.01	320	1.000	bicubic	-85.307	-61.690	-16
824	res2net50_26w_8s.in1k	7.853	92.147	33.707	66.293	48.40	224	0.875	bilinear	-85.537	-64.463	-34
825	dla60_res2next.in1k	7.800	92.200	34.973	65.027	17.03	224	0.875	bilinear	-85.390	-63.427	-16
826	mobilevitv2_075.cvnets_in1k	7.773	92.227	33.720	66.280	2.87	256	0.888	bicubic	-83.987	-64.140	+80
827	convnextv2_atto.fcmae_ft_in1k	7.773	92.227	32.907	67.093	3.71	288	0.950	bicubic	-85.197	-65.253	+6
828	mobilevit_xs.cvnets_in1k	7.747	92.253	32.520	67.480	2.32	256	0.900	bicubic	-83.053	-65.410	+105
829	tf_efficientnetv2_b1.in1k	7.707	92.293	34.653	65.347	8.14	240	0.882	bicubic	-86.243	-63.967	-102
830	deit_tiny_distilled_patch16_224.fb_in1k	7.707	92.293	33.507	66.493	5.91	224	0.900	bicubic	-83.003	-64.053	+108
831	regnety_032.pycls_in1k	7.693	92.307	34.293	65.707	19.44	224	0.875	bicubic	-85.717	-64.347	-44
832	efficientformerv2_s0.snap_dist_in1k	7.680	92.320	32.680	67.320	3.60	224	0.950	bicubic	-84.290	-65.210	+63
833	convnext_atto.d2_in1k	7.613	92.387	35.053	64.947	3.70	288	0.950	bicubic	-85.177	-63.097	+12
834	dla60_res2net.in1k	7.600	92.400	34.600	65.400	20.85	224	0.875	bilinear	-85.580	-63.840	-23
835	efficientnet_b1_pruned.in1k	7.480	92.520	34.480	65.520	6.33	240	0.882	bicubic	-85.300	-63.560	+11
836	regnetx_064.pycls_in1k	7.373	92.627	34.360	65.640	26.21	224	0.875	bicubic	-86.527	-64.280	-102
837	wide_resnet101_2.tv_in1k	7.360	92.640	34.147	65.853	126.89	224	0.875	bilinear	-86.380	-63.923	-84
838	densenet121.ra_in1k	7.320	92.680	35.453	64.547	7.98	288	0.950	bicubic	-85.200	-62.767	+26
839	deit_tiny_patch16_224.fb_in1k	7.307	92.693	30.680	69.320	5.72	224	0.900	bicubic	-82.343	-66.780	+122
840	regnetx_008.tv2_in1k	7.280	92.720	34.133	65.867	7.26	224	0.965	bicubic	-85.270	-64.047	+21
841	resnet50s.gluon_in1k	7.280	92.720	33.453	66.547	25.68	224	0.875	bicubic	-86.360	-65.007	-78
842	resnet34.a2_in1k	7.267	92.733	31.813	68.187	21.80	288	1.000	bicubic	-85.453	-66.357	+9
843	edgenext_x_small.in1k	7.267	92.733	30.920	69.080	2.34	288	1.000	bicubic	-84.443	-66.680	+69
844	resnet101.gluon_in1k	7.253	92.747	32.760	67.240	44.55	224	0.875	bicubic	-86.497	-65.620	-92
845	hardcorenas_e.miil_green_in1k	7.240	92.760	33.280	66.720	8.07	224	0.875	bilinear	-85.340	-64.820	+15
846	efficientnet_b0.ra_in1k	7.213	92.787	33.987	66.013	5.29	224	0.875	bicubic	-85.477	-64.083	+7
847	tf_mixnet_l.in1k	7.173	92.827	31.680	68.320	7.33	224	0.875	bicubic	-86.147	-66.350	-46
848	tf_efficientnet_b1.aa_in1k	7.147	92.853	33.027	66.973	7.79	240	0.882	bicubic	-86.343	-65.333	-68
849	tf_efficientnet_cc_b0_8e.in1k	7.133	92.867	31.773	68.227	24.01	224	0.875	bicubic	-85.707	-66.407	-9
850	convmixer_1024_20_ks9_p14.in1k	7.093	92.907	33.053	66.947	24.38	224	0.960	bicubic	-85.307	-65.217	+22
851	resmlp_12_224.fb_in1k	7.013	92.987	33.933	66.067	15.35	224	0.875	bicubic	-85.207	-64.217	+30
852	cs3darknet_focus_m.c2ns_in1k	6.933	93.067	34.587	65.413	9.30	288	0.950	bicubic	-86.037	-63.473	-22
853	hardcorenas_f.miil_green_in1k	6.853	93.147	34.053	65.947	8.20	224	0.875	bilinear	-86.117	-64.337	-22
854	pit_ti_distilled_224.in1k	6.840	93.160	30.947	69.053	5.10	224	0.900	bicubic	-83.930	-66.663	+80
855	efficientnet_es.ra_in1k	6.693	93.307	33.987	66.013	5.44	224	0.875	bicubic	-86.467	-64.423	-43
856	SelecSls60b.in1k	6.693	93.307	33.293	66.707	32.77	224	0.875	bicubic	-86.617	-64.997	-54
857	res2net50_26w_6s.in1k	6.693	93.307	31.653	68.347	37.05	224	0.875	bilinear	-86.707	-66.627	-67
858	poolformer_s12.sail_in1k	6.667	93.333	34.520	65.480	11.92	224	0.900	bicubic	-85.943	-63.660	0
859	tinynet_a.in1k	6.653	93.347	32.227	67.773	6.19	192	0.875	bicubic	-85.787	-65.853	+9
860	mixnet_m.ft_in1k	6.653	93.347	32.053	67.947	5.01	224	0.875	bicubic	-85.757	-65.817	+12
861	dpn68b.mx_in1k	6.640	93.360	32.907	67.093	12.61	224	0.875	bicubic	-86.150	-65.173	-17
862	legacy_seresnext26_32x4d.in1k	6.627	93.373	33.227	66.773	16.79	224	0.875	bicubic	-86.013	-64.893	-7
863	tf_efficientnet_b1.in1k	6.627	93.373	32.640	67.360	7.79	240	0.882	bicubic	-86.463	-65.660	-42
864	resnet50.a3_in1k	6.600	93.400	32.053	67.947	25.56	224	0.950	bicubic	-86.120	-65.957	-13
865	regnety_004.tv2_in1k	6.533	93.467	30.467	69.533	4.34	224	0.965	bicubic	-85.047	-67.423	+47
866	dla60x.in1k	6.493	93.507	34.080	65.920	17.35	224	0.875	bilinear	-86.587	-64.420	-44
867	repvgg_b1.rvgg_in1k	6.467	93.533	33.800	66.200	57.42	224	0.875	bilinear	-86.863	-64.720	-71
868	skresnet34.ra_in1k	6.467	93.533	31.587	68.413	22.28	224	0.875	bicubic	-85.913	-66.563	+7
869	hardcorenas_d.miil_green_in1k	6.427	93.573	32.240	67.760	7.50	224	0.875	bilinear	-85.983	-65.830	+1
870	resnet26d.bt_in1k	6.307	93.693	32.733	67.267	16.01	288	0.950	bicubic	-86.213	-65.477	-5
871	regnetx_080.pycls_in1k	6.293	93.707	32.373	67.627	39.57	224	0.875	bicubic	-87.587	-66.217	-132
872	resnet18.fb_swsl_ig1b_ft_in1k	6.253	93.747	31.600	68.400	11.69	224	0.875	bilinear	-84.447	-66.100	+66
873	legacy_seresnet50.in1k	6.200	93.800	32.680	67.320	28.09	224	0.875	bilinear	-86.760	-65.730	-38
874	pit_ti_224.in1k	6.133	93.867	30.200	69.800	4.85	224	0.900	bicubic	-83.807	-67.250	+80
875	resnet152.tv_in1k	6.067	93.933	32.080	67.920	60.19	224	0.875	bilinear	-87.253	-65.960	-77
876	wide_resnet50_2.tv_in1k	6.013	93.987	32.160	67.840	68.88	224	0.875	bilinear	-87.147	-66.160	-63
877	tf_efficientnet_cc_b0_4e.in1k	5.987	94.013	29.573	70.427	13.31	224	0.875	bicubic	-86.603	-68.507	-18
878	regnetx_040.pycls_in1k	5.947	94.053	31.493	68.507	22.12	224	0.875	bicubic	-87.613	-67.037	-109
879	seresnet50.a3_in1k	5.947	94.053	30.813	69.187	28.09	224	0.950	bicubic	-86.123	-67.227	+9
880	tf_efficientnetv2_b0.in1k	5.880	94.120	30.787	69.213	7.14	224	0.875	bicubic	-87.230	-67.603	-64
881	mixer_l16_224.goog_in21k_ft_in1k	5.880	94.120	18.547	81.453	208.20	224	0.875	bicubic	-81.270	-77.553	+104
882	dla102.in1k	5.867	94.133	32.760	67.240	33.27	224	0.875	bilinear	-87.193	-65.790	-59
883	regnety_016.pycls_in1k	5.680	94.320	30.480	69.520	11.20	224	0.875	bicubic	-87.360	-67.890	-58
884	SelecSls60.in1k	5.653	94.347	32.533	67.467	30.67	224	0.875	bicubic	-87.367	-65.657	-59
885	res2next50.in1k	5.653	94.347	30.893	69.107	24.67	224	0.875	bilinear	-87.187	-67.287	-46
886	hardcorenas_c.miil_green_in1k	5.653	94.347	30.453	69.547	5.52	224	0.875	bilinear	-86.367	-67.387	+8
887	hrnet_w18.ms_in1k	5.493	94.507	30.920	69.080	21.30	224	0.875	bilinear	-86.827	-67.350	-11
888	resnest14d.gluon_in1k	5.453	94.547	28.533	71.467	10.61	224	0.875	bilinear	-86.267	-69.337	+22
889	tf_efficientnet_em.in1k	5.360	94.640	31.093	68.907	6.90	240	0.882	bicubic	-87.560	-67.117	-53
890	tf_efficientnet_lite2.in1k	5.320	94.680	30.880	69.120	6.09	260	0.890	bicubic	-87.340	-67.350	-37
891	gernet_s.idstcv_in1k	5.320	94.680	30.147	69.853	8.17	224	0.875	bilinear	-86.810	-68.043	-5
892	resnext26ts.ra2_in1k	5.307	94.693	29.680	70.320	10.30	288	1.000	bicubic	-86.823	-68.350	-6
893	tf_efficientnet_b0.ap_in1k	5.307	94.693	28.840	71.160	5.29	224	0.875	bicubic	-86.893	-69.180	-10
894	repvgg_b1g4.rvgg_in1k	5.240	94.760	30.760	69.240	39.97	224	0.875	bilinear	-87.760	-67.670	-65
895	resnet34.bt_in1k	5.213	94.787	29.413	70.587	21.80	288	0.950	bicubic	-87.187	-68.647	-22
896	xcit_nano_12_p16_224.fb_dist_in1k	5.200	94.800	26.493	73.507	3.05	224	1.000	bicubic	-84.510	-70.607	+61
897	res2net50_26w_4s.in1k	5.173	94.827	29.360	70.640	25.70	224	0.875	bilinear	-87.317	-68.670	-30
898	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	5.080	94.920	27.027	72.973	6.34	224	0.900	bicubic	-84.100	-70.193	+66
899	mobilenetv3_large_100.ra_in1k	5.067	94.933	28.187	71.813	5.48	224	0.875	bicubic	-86.283	-69.523	+18
900	tf_efficientnet_b0.aa_in1k	5.053	94.947	28.773	71.227	5.29	224	0.875	bicubic	-87.197	-69.227	-20
901	tf_mixnet_m.in1k	5.053	94.947	28.187	71.813	5.01	224	0.875	bicubic	-87.247	-69.703	-24
902	res2net50_14w_8s.in1k	5.040	94.960	28.720	71.280	25.06	224	0.875	bilinear	-87.730	-69.450	-55
903	regnetx_004_tv.tv2_in1k	5.000	95.000	27.560	72.440	5.50	224	0.965	bicubic	-85.640	-70.030	+38
904	hardcorenas_b.miil_green_in1k	4.947	95.053	28.053	71.947	5.18	224	0.875	bilinear	-86.813	-69.987	+4
905	mobilenetv3_rw.rmsp_in1k	4.933	95.067	29.853	70.147	5.48	224	0.875	bicubic	-86.277	-67.807	+14
906	mixnet_s.ft_in1k	4.933	95.067	28.560	71.440	4.13	224	0.875	bicubic	-86.897	-69.460	0
907	hardcorenas_a.miil_green_in1k	4.893	95.107	28.107	71.893	5.26	224	0.875	bilinear	-86.457	-69.743	+9
908	resnet50c.gluon_in1k	4.893	95.107	28.080	71.920	25.58	224	0.875	bicubic	-88.137	-70.320	-82
909	regnetx_032.pycls_in1k	4.880	95.120	30.227	69.773	15.30	224	0.875	bicubic	-88.230	-68.163	-93
910	xcit_nano_12_p16_224.fb_in1k	4.853	95.147	25.467	74.533	3.05	224	1.000	bicubic	-83.767	-71.323	+65
911	resnext50_32x4d.tv_in1k	4.827	95.173	30.267	69.733	25.03	224	0.875	bilinear	-87.923	-67.703	-63
912	densenet161.tv_in1k	4.733	95.267	29.547	70.453	28.68	224	0.875	bicubic	-87.747	-68.753	-44
913	resnet101.tv_in1k	4.707	95.293	29.333	70.667	44.55	224	0.875	bilinear	-88.103	-68.917	-70
914	SelecSls42b.in1k	4.693	95.307	28.560	71.440	32.46	224	0.875	bicubic	-87.597	-69.550	-36
915	tf_efficientnet_lite1.in1k	4.600	95.400	28.333	71.667	5.42	240	0.882	bicubic	-88.020	-69.727	-58
916	mobilenetv2_120d.ra_in1k	4.547	95.453	29.320	70.680	5.83	224	0.875	bicubic	-87.853	-68.830	-42
917	tf_efficientnet_b0.in1k	4.427	95.573	26.680	73.320	5.29	224	0.875	bicubic	-87.643	-71.240	-28
918	pvt_v2_b0.in1k	4.347	95.653	25.960	74.040	3.67	224	0.900	bicubic	-84.433	-70.900	+54
919	vit_base_patch32_224.sam_in1k	4.333	95.667	24.387	75.613	88.22	224	0.900	bicubic	-85.407	-72.613	+37
920	resnet50.am_in1k	4.267	95.733	28.613	71.387	25.56	224	0.875	bicubic	-89.703	-70.017	-196
921	edgenext_xx_small.in1k	4.267	95.733	24.093	75.907	1.33	288	1.000	bicubic	-84.623	-73.017	+51
922	tinynet_b.in1k	4.200	95.800	26.787	73.213	3.73	188	0.875	bicubic	-86.720	-70.873	+7
923	efficientnet_es_pruned.in1k	4.200	95.800	26.467	73.533	5.44	224	0.875	bicubic	-86.970	-71.273	+1
924	densenet201.tv_in1k	4.133	95.867	27.547	72.453	20.01	224	0.875	bicubic	-88.607	-70.683	-74
925	resnet50.gluon_in1k	4.120	95.880	26.933	73.067	25.56	224	0.875	bicubic	-88.420	-71.237	-63
926	fbnetc_100.rmsp_in1k	4.120	95.880	25.893	74.107	5.57	224	0.875	bilinear	-86.610	-71.317	+11
927	semnasnet_100.rmsp_in1k	3.947	96.053	26.920	73.080	3.89	224	0.875	bicubic	-87.363	-70.640	-10
928	mobilevitv2_050.cvnets_in1k	3.947	96.053	23.933	76.067	1.37	256	0.888	bicubic	-84.243	-73.057	+51
929	resnet26.bt_in1k	3.933	96.067	28.200	71.800	16.00	288	0.950	bicubic	-88.057	-69.820	-37
930	repvgg_a2.rvgg_in1k	3.933	96.067	27.227	72.773	28.21	224	0.875	bilinear	-88.007	-70.873	-30
931	dpn68.mx_in1k	3.893	96.107	25.693	74.307	12.61	224	0.875	bicubic	-88.097	-72.527	-37
932	tf_mixnet_s.in1k	3.880	96.120	25.280	74.720	4.13	224	0.875	bicubic	-87.640	-72.340	-19
933	semnasnet_075.rmsp_in1k	3.853	96.147	27.080	72.920	2.91	224	0.875	bicubic	-86.237	-70.360	+16
934	tf_efficientnet_es.in1k	3.827	96.173	26.147	73.853	5.44	224	0.875	bicubic	-88.143	-71.733	-39
935	mobilevit_xxs.cvnets_in1k	3.827	96.173	21.787	78.213	1.27	256	0.900	bicubic	-83.323	-71.733	+49
936	resnet18d.ra2_in1k	3.813	96.187	25.987	74.013	11.71	288	0.950	bicubic	-86.467	-71.573	+10
937	regnety_008.pycls_in1k	3.800	96.200	27.147	72.853	6.26	224	0.875	bicubic	-87.930	-71.033	-28
938	dla60.in1k	3.787	96.213	27.973	72.027	22.04	224	0.875	bilinear	-88.413	-70.137	-56
939	resnet18.fb_ssl_yfcc100m_ft_in1k	3.747	96.253	25.387	74.613	11.69	224	0.875	bilinear	-86.463	-72.153	+9
940	mobilenetv2_140.ra_in1k	3.720	96.280	26.720	73.280	6.11	224	0.875	bicubic	-88.120	-71.140	-37
941	densenet169.tv_in1k	3.707	96.293	25.587	74.413	14.15	224	0.875	bicubic	-88.233	-72.553	-41
942	resnet18.a1_in1k	3.707	96.293	22.960	77.040	11.69	288	1.000	bicubic	-85.973	-74.140	+16
943	regnetx_016.pycls_in1k	3.613	96.387	26.320	73.680	9.19	224	0.875	bicubic	-88.567	-71.880	-59
944	spnasnet_100.rmsp_in1k	3.587	96.413	24.253	75.747	4.42	224	0.875	bilinear	-86.743	-72.937	+1
945	res2net50_48w_2s.in1k	3.560	96.440	26.613	73.387	25.29	224	0.875	bilinear	-88.990	-71.467	-83
946	tf_mobilenetv3_large_100.in1k	3.560	96.440	25.120	74.880	5.48	224	0.875	bilinear	-87.680	-72.540	-27
947	regnety_006.pycls_in1k	3.453	96.547	24.920	75.080	6.06	224	0.875	bicubic	-87.937	-72.780	-32
948	resnet34.a3_in1k	3.373	96.627	23.387	76.613	21.80	224	0.950	bicubic	-86.567	-73.793	+7
949	legacy_seresnet34.in1k	3.347	96.653	23.813	76.187	21.96	224	0.875	bilinear	-87.553	-73.767	-18
950	resnet18.a2_in1k	3.267	96.733	22.373	77.627	11.69	288	1.000	bicubic	-86.303	-74.587	+13
951	efficientnet_lite0.ra_in1k	3.240	96.760	25.933	74.067	4.65	224	0.875	bicubic	-87.880	-71.697	-28
952	dla34.in1k	3.240	96.760	23.587	76.413	15.74	224	0.875	bilinear	-87.520	-74.063	-16
953	ghostnet_100.in1k	3.227	96.773	24.813	75.187	5.18	224	0.875	bilinear	-86.803	-72.557	-1
954	regnety_004.pycls_in1k	3.187	96.813	22.680	77.320	4.34	224	0.875	bicubic	-87.303	-74.850	-11
955	mobilenetv2_110d.ra_in1k	3.173	96.827	24.587	75.413	4.52	224	0.875	bicubic	-87.797	-73.043	-26
956	mnasnet_100.rmsp_in1k	3.120	96.880	24.240	75.760	4.38	224	0.875	bicubic	-87.380	-73.230	-14
957	tinynet_c.in1k	3.120	96.880	21.533	78.467	2.46	184	0.875	bicubic	-84.670	-74.837	+22
958	tf_efficientnet_lite0.in1k	3.040	96.960	22.907	77.093	4.65	224	0.875	bicubic	-88.010	-74.673	-32
959	skresnet18.ra_in1k	3.027	96.973	22.827	77.173	11.96	224	0.875	bicubic	-86.633	-74.403	0
960	vgg19_bn.tv_in1k	2.947	97.053	23.440	76.560	143.68	224	0.875	bilinear	-87.133	-74.140	-9
961	tinynet_d.in1k	2.853	97.147	17.787	82.213	2.34	152	0.875	bicubic	-81.867	-77.383	+33
962	tf_mobilenetv3_large_075.in1k	2.840	97.160	21.547	78.453	3.99	224	0.875	bilinear	-86.820	-75.643	-2
963	resnet14t.c3_in1k	2.760	97.240	20.213	79.787	10.08	224	0.950	bicubic	-86.240	-76.517	+4
964	hrnet_w18_small_v2.ms_in1k	2.720	97.280	23.707	76.293	15.60	224	0.875	bilinear	-88.480	-74.193	-43
965	regnetx_008.pycls_in1k	2.667	97.333	22.440	77.560	7.26	224	0.875	bicubic	-88.383	-75.280	-40
966	vgg16_bn.tv_in1k	2.653	97.347	23.800	76.200	138.37	224	0.875	bilinear	-87.437	-73.570	-17
967	resnet34.gluon_in1k	2.653	97.347	21.693	78.307	21.80	224	0.875	bicubic	-88.317	-75.847	-38
968	lcnet_100.ra2_in1k	2.627	97.373	20.760	79.240	2.95	224	0.875	bicubic	-86.123	-76.220	+6
969	vgg16.tv_in1k	2.627	97.373	20.360	79.640	138.36	224	0.875	bilinear	-85.933	-76.440	+7
970	repvgg_b0.rvgg_in1k	2.560	97.440	24.013	75.987	15.82	224	0.875	bilinear	-88.840	-73.987	-56
971	densenet121.tv_in1k	2.547	97.453	22.653	77.347	7.98	224	0.875	bicubic	-88.343	-75.057	-39
972	regnetx_006.pycls_in1k	2.533	97.467	20.627	79.373	6.20	224	0.875	bicubic	-87.817	-76.803	-28
973	legacy_seresnet18.in1k	2.480	97.520	20.093	79.907	11.78	224	0.875	bicubic	-86.410	-76.887	-3
974	lcnet_075.ra2_in1k	2.333	97.667	17.187	82.813	2.36	224	0.875	bicubic	-83.637	-78.493	+17
975	mobilenetv3_small_075.lamb_in1k	2.307	97.693	15.893	84.107	2.04	224	0.875	bicubic	-80.723	-78.207	+25
976	resnet18.a3_in1k	2.227	97.773	17.760	82.240	11.69	224	0.950	bicubic	-84.223	-78.120	+11
977	mobilenetv2_100.ra_in1k	2.133	97.867	19.933	80.067	3.50	224	0.875	bicubic	-87.447	-77.207	-15
978	regnety_002.pycls_in1k	2.120	97.880	18.907	81.093	3.16	224	0.875	bicubic	-85.250	-77.703	+4
979	vgg19.tv_in1k	2.107	97.893	20.760	79.240	143.67	224	0.875	bilinear	-86.943	-76.110	-13
980	vgg13_bn.tv_in1k	2.093	97.907	20.333	79.667	133.05	224	0.875	bilinear	-86.657	-76.387	-7
981	tf_mobilenetv3_small_100.in1k	2.013	97.987	15.827	84.173	2.54	224	0.875	bilinear	-83.177	-79.943	+12
982	mobilenetv3_small_100.lamb_in1k	2.000	98.000	17.080	82.920	2.54	224	0.875	bicubic	-83.220	-78.570	+10
983	tf_mobilenetv3_small_075.in1k	1.987	98.013	14.840	85.160	2.04	224	0.875	bilinear	-81.513	-80.000	+16
984	regnetx_004.pycls_in1k	1.933	98.067	19.173	80.827	5.16	224	0.875	bicubic	-86.957	-77.527	-15
985	resnet34.tv_in1k	1.853	98.147	20.053	79.947	21.80	224	0.875	bilinear	-88.097	-77.287	-32
986	tinynet_e.in1k	1.853	98.147	14.013	85.987	2.04	106	0.875	bicubic	-77.067	-78.527	+17
987	vgg13.tv_in1k	1.840	98.160	18.013	81.987	133.05	224	0.875	bilinear	-85.200	-78.317	-2
988	lcnet_050.ra2_in1k	1.827	98.173	13.880	86.120	1.88	224	0.875	bicubic	-79.953	-79.860	+13
989	mobilenetv3_small_050.lamb_in1k	1.813	98.187	12.533	87.467	1.59	224	0.875	bicubic	-75.207	-78.767	+15
990	mnasnet_small.lamb_in1k	1.773	98.227	15.080	84.920	2.03	224	0.875	bicubic	-82.647	-80.110	+5
991	dla46x_c.in1k	1.747	98.253	16.427	83.573	1.07	224	0.875	bilinear	-82.453	-78.843	+5
992	vgg11_bn.tv_in1k	1.720	98.280	18.093	81.907	132.87	224	0.875	bilinear	-85.780	-78.727	-12
993	dla60x_c.in1k	1.613	98.387	18.000	82.000	1.32	224	0.875	bilinear	-84.667	-78.160	-5
994	tf_mobilenetv3_large_minimal_100.in1k	1.613	98.387	17.120	82.880	3.92	224	0.875	bilinear	-87.337	-79.740	-27
995	mobilenetv2_050.lamb_in1k	1.613	98.387	14.187	85.813	1.97	224	0.875	bicubic	-82.287	-80.543	+3
996	resnet10t.c3_in1k	1.600	98.400	16.040	83.960	5.44	224	0.950	bicubic	-84.620	-79.700	-7
997	vgg11.tv_in1k	1.560	98.440	16.187	83.813	132.86	224	0.875	bilinear	-85.020	-80.093	-11
998	resnet18.gluon_in1k	1.547	98.453	16.640	83.360	11.69	224	0.875	bicubic	-86.823	-80.030	-21
999	hrnet_w18_small.ms_in1k	1.533	98.467	18.093	81.907	13.19	224	0.875	bilinear	-87.517	-79.027	-34
1000	dla46_c.in1k	1.493	98.507	15.213	84.787	1.30	224	0.875	bilinear	-82.117	-79.737	-2
1001	regnetx_002.pycls_in1k	1.373	98.627	15.067	84.933	2.68	224	0.875	bicubic	-84.767	-80.893	-11
1002	resnet18.tv_in1k	1.147	98.853	16.227	83.773	11.69	224	0.875	bilinear	-86.233	-80.063	-21
1003	tf_mobilenetv3_small_minimal_100.in1k	1.040	98.960	11.493	88.507	2.04	224	0.875	bilinear	-80.360	-82.187	-1
1004	resnet50.tv_in1k	0.000	100.000	14.440	85.560	25.56	224	0.875	bilinear	-91.870	-83.600	-102