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	87.893	12.107	96.920	3.080	305.08	448	1.000	bicubic	-11.037	-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	-3.670	+18
11	eva_large_patch14_336.in22k_ft_in22k_in1k	83.853	16.147	95.347	4.653	304.53	336	1.000	bicubic	-14.887	-4.453	-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	83.400	16.600	95.453	4.547	480.31	475	0.936	bicubic	-15.100	-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	81.067	18.933	94.640	5.360	475.32	384	1.000	bicubic	-17.433	-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	93.467	6.533	98.75	384	1.000	bicubic	-20.080	-6.333	+6
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	77.547	22.453	93.120	6.880	87.12	448	1.000	bicubic	-20.893	-6.680	+3
27	vit_large_patch14_clip_336.openai_ft_in12k_in1k	77.333	22.667	93.627	6.373	304.53	336	1.000	bicubic	-20.927	-6.143	+16
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	92.693	7.307	87.12	448	1.000	bicubic	-21.747	-7.107	-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	75.507	24.493	91.760	8.240	304.14	196	1.000	bicubic	-22.913	-8.050	+2
33	regnety_1280.swag_lc_in1k	74.587	25.413	91.680	8.320	644.81	224	0.965	bicubic	-23.063	-7.890	+79
34	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	74.253	25.747	90.827	9.173	116.14	384	1.000	bicubic	-23.917	-8.933	+19
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	-7.517	-2
36	regnety_320.swag_ft_in1k	74.200	25.800	92.960	7.040	145.05	384	1.000	bicubic	-23.860	-6.800	+30
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	+21
38	eva_large_patch14_196.in22k_ft_in1k	73.160	26.840	91.413	8.587	304.14	196	1.000	bicubic	-25.200	-8.407	-2
39	caformer_m36.sail_in22k_ft_in1k_384	72.987	27.013	90.600	9.400	56.20	384	1.000	bicubic	-25.163	-9.150	+18
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	-26.347	-8.207	+14
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	-3
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	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	+12
47	deit3_base_patch16_384.fb_in22k_ft_in1k	71.200	28.800	89.933	10.067	86.88	384	1.000	bicubic	-26.640	-9.737	+43
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	-10.493	+15
51	caformer_s36.sail_in22k_ft_in1k_384	70.347	29.653	90.067	9.933	39.30	384	1.000	bicubic	-27.623	-9.653	+22
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	+2
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	+14
55	volo_d5_512.sail_in1k	69.587	30.413	90.427	9.573	296.09	512	1.150	bicubic	-28.183	-9.243	+46
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	-24
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	-16
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	-7
60	seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	68.560	31.440	88.613	11.387	149.39	384	1.000	bicubic	-29.650	-11.167	-11
61	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
62	regnety_160.swag_ft_in1k	68.093	31.907	90.707	9.293	83.59	384	1.000	bicubic	-29.687	-8.893	+35
63	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
64	volo_d5_448.sail_in1k	68.080	31.920	89.720	10.280	295.91	448	1.150	bicubic	-29.670	-9.830	+39
65	maxvit_base_tf_512.in1k	67.933	32.067	88.493	11.507	119.88	512	1.000	bicubic	-29.797	-11.117	+40
66	maxvit_large_tf_512.in1k	67.880	32.120	87.653	12.347	212.33	512	1.000	bicubic	-29.950	-11.907	+26
67	tf_efficientnetv2_xl.in21k_ft_in1k	67.787	32.213	87.347	12.653	208.12	512	1.000	bicubic	-30.113	-12.223	+15
68	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
69	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	+18
70	vit_large_patch14_clip_336.laion2b_ft_in1k	67.080	32.920	89.493	10.507	304.53	336	1.000	bicubic	-31.140	-10.307	-22
71	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
72	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	67.000	33.000	87.960	12.040	304.20	224	1.000	bicubic	-31.080	-11.690	-9
73	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
74	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	-30
75	convformer_m36.sail_in22k_ft_in1k_384	66.853	33.147	87.800	12.200	57.05	384	1.000	bicubic	-31.187	-11.950	-5
76	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	-39
77	volo_d4_448.sail_in1k	66.667	33.333	88.987	11.013	193.41	448	1.150	bicubic	-31.003	-10.623	+32
78	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
79	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	+14
80	regnety_320.swag_lc_in1k	65.573	34.427	88.080	11.920	145.05	224	0.965	bicubic	-31.587	-11.590	+109
81	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	-36
82	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
83	volo_d3_448.sail_in1k	65.400	34.600	87.573	12.427	86.63	448	1.000	bicubic	-32.150	-11.987	+45
84	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
85	tf_efficientnetv2_l.in21k_ft_in1k	64.947	35.053	87.840	12.160	118.52	480	1.000	bicubic	-32.853	-11.820	+11
86	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
87	convnextv2_huge.fcmae_ft_in1k	64.440	35.560	87.080	12.920	660.29	288	1.000	bicubic	-33.460	-12.630	-6
88	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	+7
89	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	+2
90	maxvit_large_tf_384.in1k	63.507	36.493	85.093	14.907	212.03	384	1.000	bicubic	-34.063	-14.577	+37
91	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	+19
92	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
93	maxvit_small_tf_512.in1k	62.867	37.133	86.307	13.693	69.13	512	1.000	bicubic	-34.883	-13.313	+11
94	maxvit_base_tf_384.in1k	62.613	37.387	85.187	14.813	119.65	384	1.000	bicubic	-34.957	-14.343	+32
95	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
96	cait_m48_448.fb_dist_in1k	62.373	37.627	86.453	13.547	356.46	448	1.000	bicubic	-35.107	-13.147	+43
97	convnext_base.fb_in22k_ft_in1k_384	62.360	37.640	86.240	13.760	88.59	384	1.000	bicubic	-35.720	-13.520	-33
98	tf_efficientnet_b6.ns_jft_in1k	62.227	37.773	85.160	14.840	43.04	528	0.942	bicubic	-35.393	-14.390	+19
99	caformer_b36.sail_in1k_384	62.160	37.840	84.493	15.507	98.75	384	1.000	bicubic	-35.340	-15.147	+37
100	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	+8
101	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	-13
102	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	+5
103	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	-17
104	seresnextaa101d_32x8d.sw_in12k_ft_in1k	61.080	38.920	85.920	14.080	93.59	288	1.000	bicubic	-36.830	-13.740	-25
105	caformer_m36.sail_in22k_ft_in1k	61.067	38.933	84.893	15.107	56.20	224	1.000	bicubic	-36.773	-14.787	-15
106	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	+8
107	convnext_base.fb_in22k_ft_in1k	60.893	39.107	86.147	13.853	88.59	288	1.000	bicubic	-36.967	-13.533	-22
108	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	+29
109	convnext_small.in12k_ft_in1k_384	60.733	39.267	84.960	15.040	50.22	384	1.000	bicubic	-37.067	-14.810	-12
110	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
111	deit3_large_patch16_384.fb_in1k	60.533	39.467	85.733	14.267	304.76	384	1.000	bicubic	-36.887	-13.837	+36
112	caformer_m36.sail_in1k_384	60.533	39.467	84.760	15.240	56.20	384	1.000	bicubic	-36.907	-14.880	+35
113	tf_efficientnet_b5.ns_jft_in1k	60.293	39.707	84.453	15.547	30.39	456	0.934	bicubic	-37.207	-15.127	+22
114	vit_base_patch16_clip_384.openai_ft_in12k_in1k	60.227	39.773	84.613	15.387	86.86	384	0.950	bicubic	-37.963	-15.047	-64
115	regnety_160.swag_lc_in1k	60.147	39.853	85.760	14.240	83.59	224	0.965	bicubic	-36.673	-13.890	+131
116	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	-3
117	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
118	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	+15
119	coatnet_2_rw_224.sw_in12k_ft_in1k	59.533	40.467	84.213	15.787	73.87	224	0.950	bicubic	-37.987	-15.387	+13
120	tf_efficientnetv2_m.in21k_ft_in1k	59.413	40.587	84.573	15.427	54.14	480	1.000	bicubic	-38.407	-15.027	-26
121	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	-19
122	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
123	vit_base_patch8_224.augreg_in21k_ft_in1k	58.960	41.040	82.733	17.267	86.58	224	0.900	bicubic	-38.610	-16.857	+2
124	maxvit_tiny_tf_512.in1k	58.800	41.200	84.573	15.427	31.05	512	1.000	bicubic	-38.780	-14.987	0
125	tiny_vit_21m_512.dist_in22k_ft_in1k	58.733	41.267	83.693	16.307	21.27	512	1.000	bicubic	-39.137	-15.937	-41
126	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	+23
127	volo_d2_384.sail_in1k	58.600	41.400	84.280	15.720	58.87	384	1.000	bicubic	-38.720	-15.320	+35
128	tiny_vit_21m_384.dist_in22k_ft_in1k	58.320	41.680	83.653	16.347	21.23	384	1.000	bicubic	-39.290	-15.937	-8
129	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	-60
130	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
131	cait_m36_384.fb_dist_in1k	57.840	42.160	84.840	15.160	271.22	384	1.000	bicubic	-39.560	-14.670	+22
132	dm_nfnet_f5.dm_in1k	57.640	42.360	82.267	17.733	377.21	544	0.954	bicubic	-40.140	-17.493	-32
133	dm_nfnet_f6.dm_in1k	57.560	42.440	82.360	17.640	438.36	576	0.956	bicubic	-40.220	-17.290	-34
134	caformer_s36.sail_in1k_384	57.347	42.653	82.787	17.213	39.30	384	1.000	bicubic	-40.043	-16.753	+20
135	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
136	volo_d5_224.sail_in1k	57.107	42.893	82.733	17.267	295.46	224	0.960	bicubic	-40.273	-16.837	+19
137	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
138	deit3_small_patch16_384.fb_in22k_ft_in1k	57.080	42.920	83.067	16.933	22.21	384	1.000	bicubic	-40.050	-16.443	+55
139	convnextv2_large.fcmae_ft_in1k	56.880	43.120	83.467	16.533	197.96	288	1.000	bicubic	-40.780	-16.253	-28
140	regnety_160.lion_in12k_ft_in1k	56.747	43.253	83.453	16.547	83.59	288	1.000	bicubic	-40.703	-16.147	+2
141	dm_nfnet_f4.dm_in1k	56.707	43.293	81.760	18.240	316.07	512	0.951	bicubic	-40.933	-17.780	-26
142	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
143	maxvit_small_tf_384.in1k	56.600	43.400	82.293	17.707	69.02	384	1.000	bicubic	-40.830	-17.217	+4
144	regnety_160.sw_in12k_ft_in1k	56.253	43.747	82.840	17.160	83.59	288	1.000	bicubic	-41.197	-16.750	-1
145	convformer_m36.sail_in22k_ft_in1k	55.880	44.120	81.813	18.187	57.05	224	1.000	bicubic	-41.720	-17.807	-23
146	caformer_s36.sail_in22k_ft_in1k	55.813	44.187	82.133	17.867	39.30	224	1.000	bicubic	-41.787	-17.587	-23
147	vit_large_patch16_224.augreg_in21k_ft_in1k	55.573	44.427	80.107	19.893	304.33	224	0.900	bicubic	-42.057	-19.483	-31
148	convformer_b36.sail_in1k_384	55.453	44.547	81.293	18.707	99.88	384	1.000	bicubic	-42.077	-18.227	-18
149	vit_base_patch16_clip_384.openai_ft_in1k	55.000	45.000	82.613	17.387	86.86	384	1.000	bicubic	-42.540	-17.047	-20
150	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	-18.347	+37
151	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
152	volo_d1_384.sail_in1k	54.333	45.667	81.000	19.000	26.78	384	1.000	bicubic	-42.577	-18.460	+81
153	deit3_huge_patch14_224.fb_in1k	54.320	45.680	82.093	17.907	632.13	224	0.900	bicubic	-42.580	-17.127	+82
154	vit_base_patch16_clip_384.laion2b_ft_in1k	54.267	45.733	80.880	19.120	86.86	384	1.000	bicubic	-43.453	-18.750	-48
155	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	+20
156	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	54.173	45.827	81.640	18.360	39.03	384	0.950	bicubic	-43.267	-17.960	-11
157	resnetv2_101x3_bit.goog_in21k_ft_in1k	54.027	45.973	81.027	18.973	387.93	448	1.000	bilinear	-42.953	-18.503	+63
158	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	+58
159	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	+29
160	dm_nfnet_f3.dm_in1k	53.773	46.227	79.813	20.187	254.92	416	0.940	bicubic	-43.697	-19.747	-20
161	convformer_m36.sail_in1k_384	53.547	46.453	80.733	19.267	57.05	384	1.000	bicubic	-43.863	-18.867	-9
162	deit3_base_patch16_384.fb_in1k	53.427	46.573	80.547	19.453	86.88	384	1.000	bicubic	-43.613	-18.833	+50
163	convnext_small.in12k_ft_in1k	53.240	46.760	81.400	18.600	50.22	288	1.000	bicubic	-44.110	-18.180	-4
164	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	+83
165	volo_d4_224.sail_in1k	52.987	47.013	80.427	19.573	192.96	224	0.960	bicubic	-44.293	-19.113	+3
166	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
167	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	-48
168	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
169	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	52.320	47.680	79.747	20.253	88.34	448	1.000	bicubic	-44.990	-19.733	-5
170	maxvit_tiny_tf_384.in1k	52.080	47.920	79.813	20.187	30.98	384	1.000	bicubic	-45.230	-19.687	-7
171	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
172	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
173	tf_efficientnet_b4.ns_jft_in1k	51.253	48.747	79.173	20.827	19.34	380	0.922	bicubic	-45.697	-20.087	+53
174	efficientnet_b5.sw_in12k_ft_in1k	51.213	48.787	78.840	21.160	30.39	448	1.000	bicubic	-46.197	-20.710	-23
175	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	+6
176	flexivit_large.1200ep_in1k	51.200	48.800	80.667	19.333	304.36	240	0.950	bicubic	-46.210	-18.803	-27
177	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	+16
178	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	+66
179	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
180	mvitv2_large.fb_in1k	50.867	49.133	78.493	21.507	217.99	224	0.900	bicubic	-46.063	-20.907	+50
181	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	+21
182	tf_efficientnetv2_l.in1k	50.693	49.307	77.613	22.387	118.52	480	1.000	bicubic	-46.777	-21.917	-41
183	vit_base_patch16_384.orig_in21k_ft_in1k	50.653	49.347	78.200	21.800	86.86	384	1.000	bicubic	-46.067	-21.280	+78
184	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	-6
185	convformer_s36.sail_in1k_384	50.333	49.667	78.893	21.107	40.01	384	1.000	bicubic	-46.947	-20.577	-14
186	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
187	volo_d3_224.sail_in1k	50.320	49.680	78.213	21.787	86.33	224	0.960	bicubic	-46.770	-21.257	+14
188	flexivit_large.600ep_in1k	50.253	49.747	80.013	19.987	304.36	240	0.950	bicubic	-47.027	-19.417	-23
189	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
190	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
191	vit_base_patch16_224.augreg2_in21k_ft_in1k	49.827	50.173	78.960	21.040	86.57	224	0.900	bicubic	-47.323	-20.490	-1
192	vit_base_patch16_clip_224.openai_ft_in12k_in1k	49.800	50.200	77.120	22.880	86.57	224	0.950	bicubic	-47.730	-22.380	-61
193	cait_s24_384.fb_dist_in1k	49.733	50.267	78.760	21.240	47.06	384	1.000	bicubic	-47.337	-20.670	+16
194	inception_next_base.sail_in1k_384	49.693	50.307	79.133	20.867	86.67	384	1.000	bicubic	-47.567	-20.357	-21
195	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	-26
196	deit_base_distilled_patch16_384.fb_in1k	49.333	50.667	79.227	20.773	87.63	384	1.000	bicubic	-47.627	-20.253	+28
197	caformer_s18.sail_in1k_384	49.147	50.853	78.693	21.307	26.34	384	1.000	bicubic	-47.933	-20.797	+11
198	coat_lite_medium_384.in1k	49.093	50.907	78.600	21.400	44.57	384	1.000	bicubic	-48.057	-20.940	-7
199	tf_efficientnet_b8.ra_in1k	48.933	51.067	77.227	22.773	87.41	672	0.954	bicubic	-48.267	-22.273	-14
200	convnextv2_base.fcmae_ft_in1k	48.693	51.307	78.827	21.173	88.72	288	1.000	bicubic	-48.527	-20.713	-21
201	deit3_large_patch16_224.fb_in1k	48.627	51.373	78.107	21.893	304.37	224	0.900	bicubic	-48.313	-21.153	+27
202	caformer_b36.sail_in1k	48.533	51.467	75.667	24.333	98.75	224	1.000	bicubic	-48.447	-23.823	+19
203	flexivit_large.300ep_in1k	48.520	51.480	78.653	21.347	304.36	240	0.950	bicubic	-48.730	-20.837	-29
204	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
205	tf_efficientnetv2_s.in21k_ft_in1k	48.453	51.547	77.867	22.133	21.46	384	1.000	bicubic	-48.277	-21.463	+54
206	resnest269e.in1k	48.213	51.787	74.333	25.667	110.93	416	0.928	bicubic	-48.297	-25.017	+106
207	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	+2
208	deit3_medium_patch16_224.fb_in22k_ft_in1k	48.160	51.840	77.027	22.973	38.85	224	1.000	bicubic	-48.810	-22.403	+15
209	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	47.960	52.040	76.853	23.147	88.30	384	1.000	bicubic	-49.400	-22.667	-51
210	regnety_2560.seer_ft_in1k	47.907	52.093	76.800	23.200	1,282.60	384	1.000	bicubic	-49.313	-22.720	-30
211	regnetz_e8.ra3_in1k	47.800	52.200	76.200	23.800	57.70	320	1.000	bicubic	-49.400	-23.340	-27
212	convnext_tiny.in12k_ft_in1k	47.507	52.493	78.747	21.253	28.59	288	1.000	bicubic	-49.553	-20.803	-1
213	convformer_s36.sail_in22k_ft_in1k	47.440	52.560	77.107	22.893	40.01	224	1.000	bicubic	-49.640	-22.453	-9
214	resnetv2_50x3_bit.goog_in21k_ft_in1k	47.307	52.693	77.333	22.667	217.32	448	1.000	bilinear	-49.403	-22.157	+49
215	vit_base_patch16_clip_224.openai_ft_in1k	47.200	52.800	77.533	22.467	86.57	224	0.900	bicubic	-49.880	-22.077	-8
216	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	+112
217	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	-22
218	tf_efficientnet_b8.ap_in1k	46.893	53.107	76.533	23.467	87.41	672	0.954	bicubic	-50.217	-22.977	-22
219	convnext_large.fb_in1k	46.813	53.187	76.627	23.373	197.77	288	1.000	bicubic	-50.287	-22.823	-20
220	dm_nfnet_f2.dm_in1k	46.640	53.360	74.813	25.187	193.78	352	0.920	bicubic	-50.470	-24.847	-23
221	efficientnetv2_rw_m.agc_in1k	46.293	53.707	75.720	24.280	53.24	416	1.000	bicubic	-50.687	-23.620	-2
222	swinv2_base_window16_256.ms_in1k	46.213	53.787	75.173	24.827	87.92	256	0.900	bicubic	-50.537	-24.177	+34
223	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	46.120	53.880	72.240	27.760	194.03	224	0.875	bilinear	-50.480	-27.030	+68
224	caformer_m36.sail_in1k	46.080	53.920	74.533	25.467	56.20	224	1.000	bicubic	-50.810	-24.897	+13
225	volo_d2_224.sail_in1k	46.067	53.933	75.253	24.747	58.68	224	0.960	bicubic	-50.933	-24.137	-7
226	vit_small_patch16_384.augreg_in21k_ft_in1k	45.893	54.107	76.720	23.280	22.20	384	1.000	bicubic	-50.807	-22.710	+40
227	ecaresnet269d.ra2_in1k	45.853	54.147	75.067	24.933	102.09	352	1.000	bicubic	-51.237	-24.403	-27
228	convnextv2_tiny.fcmae_ft_in22k_in1k_384	45.760	54.240	76.973	23.027	28.64	384	1.000	bicubic	-51.480	-22.637	-51
229	vit_small_r26_s32_384.augreg_in21k_ft_in1k	45.720	54.280	76.040	23.960	36.47	384	1.000	bicubic	-50.960	-23.040	+48
230	tf_efficientnet_b7.ap_in1k	45.373	54.627	74.200	25.800	66.35	600	0.949	bicubic	-51.827	-25.300	-47
231	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	+64
232	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	45.320	54.680	70.907	29.093	88.79	224	0.875	bilinear	-51.010	-28.493	+111
233	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	-1
234	tiny_vit_21m_224.dist_in22k_ft_in1k	45.027	54.973	75.547	24.453	21.20	224	0.950	bicubic	-52.173	-23.943	-48
235	eca_nfnet_l2.ra3_in1k	44.987	55.013	75.880	24.120	56.72	384	1.000	bicubic	-52.093	-23.630	-29
236	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	44.787	55.213	73.747	26.253	41.72	224	0.950	bicubic	-51.843	-25.473	+51
237	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
238	crossvit_18_dagger_408.in1k	44.253	55.747	73.840	26.160	44.61	408	1.000	bicubic	-52.287	-25.520	+68
239	resnest200e.in1k	44.133	55.867	73.493	26.507	70.20	320	0.909	bicubic	-52.477	-25.857	+51
240	seresnextaa101d_32x8d.ah_in1k	43.973	56.027	73.347	26.653	93.59	288	1.000	bicubic	-52.987	-25.903	-16
241	cait_xs24_384.fb_dist_in1k	43.947	56.053	75.160	24.840	26.67	384	1.000	bicubic	-52.593	-24.260	+62
242	mvitv2_base.fb_in1k	43.747	56.253	74.507	25.493	51.47	224	0.900	bicubic	-53.013	-24.753	+12
243	resnetrs200.tf_in1k	43.733	56.267	72.827	27.173	93.21	320	1.000	bicubic	-52.967	-26.543	+26
244	rexnetr_300.sw_in12k_ft_in1k	43.653	56.347	76.507	23.493	34.81	288	1.000	bicubic	-53.187	-23.003	-1
245	tresnet_xl.miil_in1k_448	43.493	56.507	72.427	27.573	78.44	448	0.875	bilinear	-52.487	-26.623	+177
246	caformer_s18.sail_in22k_ft_in1k	43.333	56.667	74.960	25.040	26.34	224	1.000	bicubic	-53.377	-24.590	+18
247	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
248	vit_base_patch16_224.augreg_in21k_ft_in1k	43.267	56.733	72.907	27.093	86.57	224	0.900	bicubic	-53.613	-26.623	-10
249	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	+65
250	resnetrs420.tf_in1k	43.147	56.853	70.440	29.560	191.89	416	1.000	bicubic	-53.763	-29.080	-16
251	vit_base_patch32_clip_384.openai_ft_in12k_in1k	43.107	56.893	73.253	26.747	88.30	384	0.950	bicubic	-54.003	-26.247	-53
252	edgenext_base.in21k_ft_in1k	43.040	56.960	75.440	24.560	18.51	320	1.000	bicubic	-53.690	-23.980	+5
253	coatnet_rmlp_2_rw_224.sw_in1k	43.040	56.960	71.693	28.307	73.88	224	0.950	bicubic	-53.500	-27.607	+55
254	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	+142
255	tf_efficientnet_b7.ra_in1k	42.973	57.027	73.147	26.853	66.35	600	0.949	bicubic	-54.027	-26.373	-38
256	tf_efficientnetv2_m.in1k	42.813	57.187	72.600	27.400	54.14	480	1.000	bicubic	-54.397	-26.930	-74
257	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	42.707	57.293	74.307	25.693	38.86	256	0.950	bicubic	-53.963	-25.063	+23
258	hrnet_w48_ssld.paddle_in1k	42.600	57.400	72.147	27.853	77.47	288	1.000	bilinear	-54.430	-27.243	-44
259	dm_nfnet_f1.dm_in1k	42.547	57.453	71.560	28.440	132.63	320	0.910	bicubic	-54.483	-28.080	-44
260	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	+49
261	gcvit_base.in1k	42.440	57.560	73.773	26.227	90.32	224	0.875	bicubic	-54.120	-25.377	+39
262	swinv2_small_window16_256.ms_in1k	42.360	57.640	72.867	27.133	49.73	256	0.900	bicubic	-54.110	-26.333	+55
263	maxvit_rmlp_small_rw_224.sw_in1k	42.227	57.773	72.387	27.613	64.90	224	0.900	bicubic	-54.353	-26.863	+35
264	convformer_s18.sail_in1k_384	42.120	57.880	74.453	25.547	26.77	384	1.000	bicubic	-54.920	-24.937	-51
265	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
266	maxvit_base_tf_224.in1k	41.987	58.013	70.080	29.920	119.47	224	0.950	bicubic	-54.963	-29.500	-39
267	convnext_base.fb_in1k	41.947	58.053	73.987	26.013	88.59	288	1.000	bicubic	-54.883	-25.463	-22
268	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
269	crossvit_15_dagger_408.in1k	41.907	58.093	72.040	27.960	28.50	408	1.000	bicubic	-54.483	-27.310	+63
270	resnetaa101d.sw_in12k_ft_in1k	41.893	58.107	72.387	27.613	44.57	288	1.000	bicubic	-54.807	-26.973	0
271	maxvit_large_tf_224.in1k	41.880	58.120	68.653	31.347	211.79	224	0.950	bicubic	-55.080	-30.737	-46
272	xcit_small_24_p8_224.fb_in1k	41.800	58.200	71.080	28.920	47.63	224	1.000	bicubic	-54.610	-28.070	+55
273	vit_large_r50_s32_224.augreg_in21k_ft_in1k	41.640	58.360	70.227	29.773	328.99	224	0.900	bicubic	-55.150	-29.113	-23
274	vit_base_patch16_clip_224.laion2b_ft_in1k	41.613	58.387	73.627	26.373	86.57	224	1.000	bicubic	-55.517	-25.833	-80
275	swinv2_base_window8_256.ms_in1k	41.547	58.453	72.427	27.573	87.92	256	0.900	bicubic	-54.983	-26.893	+34
276	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	41.547	58.453	71.720	28.280	44.18	224	0.875	bilinear	-54.873	-27.430	+48
277	deit3_small_patch16_224.fb_in22k_ft_in1k	41.200	58.800	71.893	28.107	22.06	224	1.000	bicubic	-55.460	-27.437	+5
278	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	+46
279	regnety_1280.seer_ft_in1k	41.147	58.853	71.200	28.800	644.81	384	1.000	bicubic	-55.713	-28.190	-39
280	seresnext101d_32x8d.ah_in1k	41.147	58.853	70.920	29.080	93.59	288	1.000	bicubic	-55.553	-28.560	-9
281	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	-76
282	caformer_s36.sail_in1k	41.040	58.960	70.893	29.107	39.30	224	1.000	bicubic	-55.650	-28.467	-8
283	davit_base.msft_in1k	40.880	59.120	72.747	27.253	87.95	224	0.950	bicubic	-56.060	-26.593	-54
284	tf_efficientnet_b6.ap_in1k	40.827	59.173	71.627	28.373	43.04	528	0.942	bicubic	-56.253	-27.793	-81
285	flexivit_base.1200ep_in1k	40.640	59.360	72.307	27.693	86.59	240	0.950	bicubic	-56.100	-27.053	-28
286	convformer_b36.sail_in1k	40.453	59.547	69.440	30.560	99.88	224	1.000	bicubic	-56.447	-30.040	-50
287	resmlp_big_24_224.fb_in22k_ft_in1k	40.373	59.627	74.800	25.200	129.14	224	0.875	bicubic	-56.247	-24.650	+1
288	deit3_small_patch16_384.fb_in1k	40.333	59.667	70.333	29.667	22.21	384	1.000	bicubic	-55.867	-28.957	+77
289	tresnet_l.miil_in1k_448	40.213	59.787	69.920	30.080	55.99	448	0.875	bilinear	-55.647	-29.280	+158
290	deit_base_patch16_384.fb_in1k	40.187	59.813	70.813	29.187	86.86	384	1.000	bicubic	-55.973	-28.427	+86
291	regnetz_040_h.ra3_in1k	40.000	60.000	71.320	28.680	28.94	320	1.000	bicubic	-56.700	-27.970	-26
292	resnetrs350.tf_in1k	39.960	60.040	68.907	31.093	163.96	384	1.000	bicubic	-56.790	-30.463	-37
293	flexivit_base.600ep_in1k	39.920	60.080	71.893	28.107	86.59	240	0.950	bicubic	-56.730	-27.437	-10
294	regnetz_d8.ra3_in1k	39.907	60.093	71.707	28.293	23.37	320	1.000	bicubic	-56.713	-27.803	-5
295	swin_s3_base_224.ms_in1k	39.853	60.147	70.467	29.533	71.13	224	0.900	bicubic	-56.387	-28.683	+62
296	flexivit_base.300ep_in1k	39.533	60.467	71.000	29.000	86.59	240	0.950	bicubic	-57.067	-28.530	-4
297	seresnext101_32x8d.ah_in1k	39.520	60.480	69.480	30.520	93.57	288	1.000	bicubic	-57.250	-29.870	-44
298	gcvit_small.in1k	39.400	60.600	70.480	29.520	51.09	224	0.875	bicubic	-56.880	-28.660	+53
299	regnetz_d8_evos.ch_in1k	39.360	60.640	71.427	28.573	23.46	320	1.000	bicubic	-57.210	-28.033	0
300	deit3_base_patch16_224.fb_in1k	39.173	60.827	70.933	29.067	86.59	224	0.900	bicubic	-57.127	-28.247	+47
301	volo_d1_224.sail_in1k	39.013	60.987	70.267	29.733	26.63	224	0.960	bicubic	-57.307	-29.043	+44
302	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	+151
303	resnetv2_101x1_bit.goog_in21k_ft_in1k	38.907	61.093	71.027	28.973	44.54	448	1.000	bilinear	-57.193	-28.243	+90
304	mvitv2_small.fb_in1k	38.773	61.227	70.413	29.587	34.87	224	0.900	bicubic	-57.597	-28.787	+29
305	regnetz_040.ra3_in1k	38.747	61.253	70.440	29.560	27.12	320	1.000	bicubic	-57.973	-29.060	-43
306	coat_lite_medium.in1k	38.600	61.400	71.093	28.907	44.57	224	0.900	bicubic	-57.870	-28.147	+12
307	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	-39
308	resnet200d.ra2_in1k	38.133	61.867	68.573	31.427	64.69	320	1.000	bicubic	-58.597	-30.847	-48
309	davit_small.msft_in1k	38.120	61.880	70.747	29.253	49.75	224	0.950	bicubic	-58.510	-28.413	-25
310	tf_efficientnet_b7.aa_in1k	38.120	61.880	69.320	30.680	66.35	600	0.949	bicubic	-58.420	-29.940	-5
311	focalnet_base_srf.ms_in1k	37.827	62.173	69.747	30.253	88.15	224	0.900	bicubic	-58.733	-29.483	-10
312	focalnet_base_lrf.ms_in1k	37.787	62.213	68.573	31.427	88.75	224	0.900	bicubic	-58.663	-30.727	+10
313	convformer_m36.sail_in1k	37.760	62.240	67.280	32.720	57.05	224	1.000	bicubic	-58.920	-32.300	-34
314	swinv2_small_window8_256.ms_in1k	37.733	62.267	69.853	30.147	49.73	256	0.900	bicubic	-58.537	-29.357	+38
315	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
316	seresnet152d.ra2_in1k	37.653	62.347	69.493	30.507	66.84	320	1.000	bicubic	-59.117	-29.947	-63
317	maxvit_small_tf_224.in1k	37.560	62.440	67.947	32.053	68.93	224	0.950	bicubic	-59.130	-31.423	-42
318	xcit_small_12_p8_224.fb_in1k	37.547	62.453	68.160	31.840	26.21	224	1.000	bicubic	-58.563	-31.000	+74
319	eca_nfnet_l1.ra2_in1k	37.533	62.467	70.933	29.067	41.41	320	1.000	bicubic	-59.167	-28.447	-47
320	fastvit_ma36.apple_dist_in1k	37.493	62.507	71.053	28.947	44.07	256	0.950	bicubic	-59.287	-28.277	-69
321	efficientvit_b3.r288_in1k	37.427	62.573	69.893	30.107	48.65	288	1.000	bicubic	-59.203	-29.457	-35
322	twins_svt_large.in1k	37.213	62.787	69.187	30.813	99.27	224	0.900	bicubic	-59.027	-30.013	+34
323	regnetz_d32.ra3_in1k	37.160	62.840	70.480	29.520	27.58	320	0.950	bicubic	-59.430	-28.900	-29
324	vit_base_patch32_384.augreg_in21k_ft_in1k	37.107	62.893	69.787	30.213	88.30	384	1.000	bicubic	-59.383	-29.623	-11
325	regnety_064.ra3_in1k	37.013	62.987	68.107	31.893	30.58	288	1.000	bicubic	-59.347	-31.123	+11
326	swin_s3_small_224.ms_in1k	36.933	63.067	68.253	31.747	49.74	224	0.900	bicubic	-59.297	-30.827	+34
327	resnext101_64x4d.c1_in1k	36.840	63.160	66.627	33.373	83.46	288	1.000	bicubic	-59.240	-32.573	+70
328	regnety_160.deit_in1k	36.827	63.173	69.120	30.880	83.59	288	1.000	bicubic	-59.523	-30.060	+9
329	efficientnetv2_rw_s.ra2_in1k	36.827	63.173	68.320	31.680	23.94	384	1.000	bicubic	-59.713	-30.780	-24
330	convnext_small.fb_in1k	36.707	63.293	71.067	28.933	50.22	288	1.000	bicubic	-59.813	-28.273	-19
331	pit_b_distilled_224.in1k	36.707	63.293	68.093	31.907	74.79	224	0.900	bicubic	-59.523	-31.017	+28
332	pvt_v2_b4.in1k	36.627	63.373	68.653	31.347	62.56	224	0.900	bicubic	-59.723	-30.677	+7
333	pvt_v2_b5.in1k	36.293	63.707	68.427	31.573	81.96	224	0.900	bicubic	-60.067	-30.813	+4
334	cait_xxs36_384.fb_dist_in1k	36.267	63.733	67.733	32.267	17.37	384	1.000	bicubic	-59.563	-31.417	+120
335	fastvit_sa36.apple_dist_in1k	36.187	63.813	69.267	30.733	31.53	256	0.900	bicubic	-60.173	-29.903	0
336	regnety_640.seer_ft_in1k	36.120	63.880	68.307	31.693	281.38	384	1.000	bicubic	-60.730	-31.113	-94
337	nest_base_jx.goog_in1k	36.053	63.947	66.747	33.253	67.72	224	0.875	bicubic	-60.187	-32.473	+17
338	coatnet_1_rw_224.sw_in1k	35.973	64.027	67.133	32.867	41.72	224	0.950	bicubic	-60.057	-32.027	+74
339	maxvit_tiny_rw_224.sw_in1k	35.960	64.040	65.573	34.427	29.06	224	0.950	bicubic	-60.280	-33.597	+19
340	repvgg_d2se.rvgg_in1k	35.827	64.173	66.720	33.280	133.33	320	1.000	bilinear	-60.863	-32.640	-67
341	cs3se_edgenet_x.c2ns_in1k	35.667	64.333	67.827	32.173	50.72	320	1.000	bicubic	-60.783	-31.573	-22
342	sequencer2d_l.in1k	35.600	64.400	67.360	32.640	54.30	224	0.875	bicubic	-60.550	-31.800	+38
343	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	+45
344	regnety_080.ra3_in1k	35.560	64.440	67.213	32.787	39.18	288	1.000	bicubic	-60.970	-32.107	-35
345	tf_efficientnet_b3.ns_jft_in1k	35.520	64.480	67.773	32.227	12.23	300	0.904	bicubic	-60.870	-31.617	-15
346	inception_next_base.sail_in1k	35.187	64.813	66.533	33.467	86.67	224	0.950	bicubic	-61.373	-32.547	-44
347	tf_efficientnet_b6.aa_in1k	35.147	64.853	67.733	32.267	43.04	528	0.942	bicubic	-61.523	-31.757	-66
348	resnetrs270.tf_in1k	34.973	65.027	65.453	34.547	129.86	352	1.000	bicubic	-61.717	-33.897	-72
349	gcvit_tiny.in1k	34.947	65.053	66.893	33.107	28.22	224	0.875	bicubic	-61.233	-32.297	+21
350	tf_efficientnet_b5.ap_in1k	34.813	65.187	67.467	32.533	30.39	456	0.934	bicubic	-61.867	-31.993	-72
351	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	+49
352	fastvit_ma36.apple_in1k	34.627	65.373	66.987	33.013	44.07	256	0.950	bicubic	-61.843	-32.163	-37
353	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	-32
354	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	-61
355	resnet152d.ra2_in1k	34.280	65.720	65.947	34.053	60.21	320	1.000	bicubic	-62.110	-33.213	-26
356	deit3_medium_patch16_224.fb_in1k	34.253	65.747	66.013	33.987	38.85	224	0.900	bicubic	-61.827	-33.227	+43
357	coat_small.in1k	34.187	65.813	66.133	33.867	21.69	224	0.900	bicubic	-61.723	-33.017	+82
358	tresnet_m.miil_in1k_448	34.107	65.893	64.533	35.467	31.39	448	0.875	bilinear	-60.883	-33.927	+253
359	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	-39
360	regnetv_064.ra3_in1k	34.000	66.000	67.880	32.120	30.58	288	1.000	bicubic	-62.410	-31.480	-34
361	tiny_vit_11m_224.dist_in22k_ft_in1k	33.867	66.133	65.827	34.173	11.00	224	0.950	bicubic	-62.423	-33.403	-12
362	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	+70
363	inception_next_small.sail_in1k	33.800	66.200	65.773	34.227	49.37	224	0.875	bicubic	-62.440	-33.417	-10
364	caformer_s18.sail_in1k	33.707	66.293	65.400	34.600	26.34	224	1.000	bicubic	-62.433	-33.770	+19
365	pvt_v2_b3.in1k	33.640	66.360	67.680	32.320	45.24	224	0.900	bicubic	-62.350	-31.510	+55
366	focalnet_small_srf.ms_in1k	33.520	66.480	65.907	34.093	49.89	224	0.900	bicubic	-62.550	-33.383	+38
367	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	+62
368	convformer_s18.sail_in22k_ft_in1k	33.453	66.547	68.280	31.720	26.77	224	1.000	bicubic	-63.177	-31.060	-83
369	resnet152.a1h_in1k	33.427	66.573	63.453	36.547	60.19	288	1.000	bicubic	-62.773	-35.807	-2
370	twins_pcpvt_large.in1k	33.387	66.613	67.907	32.093	60.99	224	0.900	bicubic	-62.753	-31.453	+12
371	convformer_s36.sail_in1k	33.320	66.680	63.827	36.173	40.01	224	1.000	bicubic	-63.260	-35.413	-74
372	focalnet_small_lrf.ms_in1k	33.227	66.773	67.067	32.933	50.34	224	0.900	bicubic	-62.953	-32.163	-1
373	fastvit_sa36.apple_in1k	33.200	66.800	66.000	34.000	31.53	256	0.900	bicubic	-63.040	-33.130	-18
374	twins_svt_base.in1k	33.200	66.800	65.720	34.280	56.07	224	0.900	bicubic	-62.960	-33.330	+3
375	pit_b_224.in1k	33.160	66.840	62.347	37.653	73.76	224	0.900	bicubic	-62.470	-36.893	+110
376	tiny_vit_21m_224.in1k	33.133	66.867	67.453	32.547	21.20	224	0.950	bicubic	-62.997	-31.767	+9
377	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	33.040	66.960	65.120	34.880	25.03	224	0.875	bilinear	-62.820	-33.950	+68
378	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	33.027	66.973	64.240	35.760	236.34	224	0.875	bicubic	-63.093	-35.100	+9
379	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	+27
380	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	-48
381	regnety_320.seer_ft_in1k	32.933	67.067	66.333	33.667	145.05	384	1.000	bicubic	-63.407	-33.017	-41
382	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	-10
383	xception65.ra3_in1k	32.747	67.253	62.973	37.027	39.92	299	0.940	bicubic	-63.613	-36.257	-49
384	xcit_large_24_p16_224.fb_in1k	32.733	67.267	62.067	37.933	189.10	224	1.000	bicubic	-62.697	-36.773	+150
385	ecaresnet101d.miil_in1k	32.707	67.293	65.973	34.027	44.57	288	0.950	bicubic	-63.513	-33.337	-24
386	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	+73
387	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	+49
388	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	-15
389	efficientvit_b3.r256_in1k	32.440	67.560	65.960	34.040	48.65	256	1.000	bicubic	-63.850	-33.230	-39
390	tf_efficientnetv2_b3.in21k_ft_in1k	32.333	67.667	66.133	33.867	14.36	300	0.900	bicubic	-63.887	-33.097	-28
391	nest_small_jx.goog_in1k	32.280	67.720	63.747	36.253	38.35	224	0.875	bicubic	-63.690	-35.283	+34
392	convnext_tiny_hnf.a2h_in1k	32.227	67.773	62.893	37.107	28.59	288	1.000	bicubic	-63.793	-36.247	+25
393	resnext101_64x4d.tv_in1k	32.160	67.840	64.227	35.773	83.46	224	0.875	bilinear	-63.870	-34.833	+17
394	efficientvit_b3.r224_in1k	32.080	67.920	64.867	35.133	48.65	224	0.950	bicubic	-63.950	-34.263	+19
395	vit_base_patch16_224.orig_in21k_ft_in1k	32.053	67.947	61.613	38.387	86.57	224	0.900	bicubic	-63.287	-37.387	+153
396	convnextv2_tiny.fcmae_ft_in1k	32.027	67.973	67.067	32.933	28.64	288	1.000	bicubic	-64.163	-32.263	-27
397	maxvit_nano_rw_256.sw_in1k	31.933	68.067	64.187	35.813	15.45	256	0.950	bicubic	-63.987	-34.823	+41
398	tf_efficientnet_b5.ra_in1k	31.787	68.213	65.280	34.720	30.39	456	0.934	bicubic	-64.553	-34.030	-57
399	rexnetr_200.sw_in12k_ft_in1k	31.733	68.267	67.653	32.347	16.52	288	1.000	bicubic	-64.467	-31.567	-33
400	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
401	swinv2_tiny_window16_256.ms_in1k	31.707	68.293	65.667	34.333	28.35	256	0.900	bicubic	-64.223	-33.353	+34
402	regnetz_c16_evos.ch_in1k	31.493	68.507	66.347	33.653	13.49	320	0.950	bicubic	-64.647	-32.653	-21
403	fastvit_sa24.apple_dist_in1k	31.427	68.573	64.760	35.240	21.55	256	0.900	bicubic	-64.723	-34.430	-25
404	resnest101e.in1k	31.413	68.587	64.320	35.680	48.28	256	0.875	bilinear	-64.447	-34.780	+42
405	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	+21
406	regnety_320.tv2_in1k	31.360	68.640	64.840	35.160	145.05	224	0.965	bicubic	-64.720	-34.390	-8
407	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	+2
408	regnetv_040.ra3_in1k	31.307	68.693	64.680	35.320	20.64	288	1.000	bicubic	-64.883	-34.570	-40
409	crossvit_base_240.in1k	31.267	68.733	61.307	38.693	105.03	240	0.875	bicubic	-64.253	-37.563	+95
410	cait_s24_224.fb_dist_in1k	31.187	68.813	64.573	35.427	46.92	224	1.000	bicubic	-65.233	-34.897	-85
411	convnext_nano.in12k_ft_in1k	31.107	68.893	67.333	32.667	15.59	288	1.000	bicubic	-64.883	-31.987	+8
412	efficientnet_b4.ra2_in1k	30.880	69.120	64.667	35.333	19.34	384	1.000	bicubic	-65.270	-34.543	-33
413	repvit_m2_3.dist_450e_in1k	30.787	69.213	63.840	36.160	23.69	224	0.950	bicubic	-65.543	-35.590	-69
414	regnety_040.ra3_in1k	30.613	69.387	63.827	36.173	20.65	288	1.000	bicubic	-65.407	-35.243	0
415	maxvit_tiny_tf_224.in1k	30.587	69.413	62.773	37.227	30.92	224	0.950	bicubic	-65.513	-36.507	-22
416	crossvit_18_240.in1k	30.587	69.413	61.920	38.080	43.27	240	0.875	bicubic	-64.853	-37.200	+113
417	sequencer2d_m.in1k	30.560	69.440	62.987	37.013	38.31	224	0.875	bicubic	-65.250	-36.223	+40
418	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	-37.107	-34
419	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	-56
420	crossvit_18_dagger_240.in1k	30.520	69.480	61.787	38.213	44.27	240	0.875	bicubic	-65.050	-37.273	+69
421	maxxvitv2_nano_rw_256.sw_in1k	30.440	69.560	63.707	36.293	23.70	256	0.950	bicubic	-65.460	-35.463	+21
422	mvitv2_tiny.fb_in1k	30.173	69.827	64.320	35.680	24.17	224	0.900	bicubic	-65.687	-34.800	+27
423	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	+74
424	rexnet_300.nav_in1k	30.027	69.973	63.920	36.080	34.71	224	0.875	bicubic	-65.813	-35.210	+27
425	cait_xxs24_384.fb_dist_in1k	30.013	69.987	63.907	36.093	12.03	384	1.000	bicubic	-65.267	-35.003	+133
426	tf_efficientnet_b5.aa_in1k	29.973	70.027	63.080	36.920	30.39	456	0.934	bicubic	-66.497	-36.200	-110
427	convnext_tiny.fb_in1k	29.960	70.040	65.120	34.880	28.59	288	1.000	bicubic	-65.830	-34.060	+33
428	twins_pcpvt_base.in1k	29.947	70.053	64.627	35.373	43.83	224	0.900	bicubic	-65.843	-34.503	+33
429	cs3sedarknet_x.c2ns_in1k	29.933	70.067	62.000	38.000	35.40	288	1.000	bicubic	-66.087	-37.190	-13
430	resnet50.fb_swsl_ig1b_ft_in1k	29.813	70.187	63.827	36.173	25.56	224	0.875	bilinear	-65.587	-35.273	+107
431	mobilevitv2_150.cvnets_in22k_ft_in1k_384	29.813	70.187	62.133	37.867	10.59	384	1.000	bicubic	-65.877	-37.007	+43
432	vit_relpos_base_patch16_clsgap_224.sw_in1k	29.733	70.267	62.880	37.120	86.43	224	0.900	bicubic	-66.037	-36.240	+32
433	resnet152.a1_in1k	29.720	70.280	57.280	42.720	60.19	288	1.000	bicubic	-65.780	-41.800	+78
434	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
435	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
436	convit_base.fb_in1k	29.520	70.480	61.747	38.253	86.54	224	0.875	bicubic	-66.030	-37.363	+57
437	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	+82
438	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	-33.013	+67
439	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	29.120	70.880	61.000	39.000	88.79	224	0.875	bilinear	-66.390	-38.200	+67
440	davit_tiny.msft_in1k	29.107	70.893	63.573	36.427	28.36	224	0.950	bicubic	-66.553	-35.477	+38
441	tf_efficientnetv2_s.in1k	29.040	70.960	61.227	38.773	21.46	384	1.000	bicubic	-67.300	-37.973	-99
442	edgenext_base.usi_in1k	29.027	70.973	64.907	35.093	18.51	320	1.000	bicubic	-67.673	-34.593	-175
443	xception65p.ra3_in1k	28.987	71.013	59.907	40.093	39.82	299	0.940	bicubic	-67.223	-39.273	-80
444	convnext_tiny.fb_in22k_ft_in1k	28.987	71.013	55.600	44.400	28.59	288	1.000	bicubic	-65.853	-43.110	+195
445	resnet101d.ra2_in1k	28.973	71.027	62.080	37.920	44.57	320	1.000	bicubic	-67.317	-37.040	-97
446	fastvit_sa24.apple_in1k	28.960	71.040	62.413	37.587	21.55	256	0.900	bicubic	-66.960	-36.747	-9
447	resnetv2_101.a1h_in1k	28.933	71.067	59.867	40.133	44.54	288	1.000	bicubic	-67.117	-39.273	-40
448	resnetrs152.tf_in1k	28.893	71.107	60.507	39.493	86.62	320	1.000	bicubic	-67.687	-38.613	-152
449	regnety_160.tv2_in1k	28.867	71.133	61.627	38.373	83.59	224	0.965	bicubic	-67.103	-37.343	-25
450	vit_relpos_medium_patch16_224.sw_in1k	28.853	71.147	61.973	38.027	38.75	224	0.900	bicubic	-66.607	-37.037	+71
451	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	+5
452	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	+25
453	efficientvit_b2.r288_in1k	28.627	71.373	64.227	35.773	24.33	288	1.000	bicubic	-67.333	-34.933	-26
454	repvit_m2_3.dist_300e_in1k	28.627	71.373	61.907	38.093	23.69	224	0.950	bicubic	-67.493	-37.333	-68
455	crossvit_15_dagger_240.in1k	28.547	71.453	60.293	39.707	28.21	240	0.875	bicubic	-67.133	-38.537	+20
456	cs3edgenet_x.c2_in1k	28.507	71.493	61.133	38.867	47.82	288	1.000	bicubic	-67.543	-38.037	-48
457	pvt_v2_b2_li.in1k	28.480	71.520	62.000	38.000	22.55	224	0.900	bicubic	-67.080	-37.030	+34
458	xcit_small_24_p16_224.fb_in1k	28.320	71.680	58.707	41.293	47.67	224	1.000	bicubic	-67.220	-40.013	+38
459	efficientformerv2_l.snap_dist_in1k	28.253	71.747	61.920	38.080	26.32	224	0.950	bicubic	-67.817	-37.200	-56
460	resnet101.a1h_in1k	28.160	71.840	59.387	40.613	44.55	288	1.000	bicubic	-67.860	-39.723	-45
461	efficientformer_l7.snap_dist_in1k	28.000	72.000	63.013	36.987	82.23	224	0.950	bicubic	-68.110	-36.267	-70
462	flexivit_small.1200ep_in1k	27.853	72.147	58.653	41.347	22.06	240	0.950	bicubic	-67.697	-40.227	+30
463	resnetaa50d.sw_in12k_ft_in1k	27.813	72.187	62.253	37.747	25.58	288	1.000	bicubic	-68.017	-36.837	-11
464	pvt_v2_b2.in1k	27.600	72.400	60.733	39.267	25.36	224	0.900	bicubic	-67.880	-38.267	+52
465	regnetz_c16.ra3_in1k	27.587	72.413	62.720	37.280	13.46	320	1.000	bicubic	-68.353	-36.500	-31
466	resnext101_32x8d.tv2_in1k	27.573	72.427	59.827	40.173	88.79	224	0.965	bilinear	-68.377	-39.073	-36
467	vit_base_patch16_384.augreg_in1k	27.547	72.453	57.253	42.747	86.86	384	1.000	bicubic	-67.393	-41.637	+150
468	coat_lite_small.in1k	27.507	72.493	58.533	41.467	19.84	224	0.900	bicubic	-68.033	-40.547	+27
469	deit_base_patch16_224.fb_in1k	27.413	72.587	58.880	41.120	86.57	224	0.900	bicubic	-68.037	-40.210	+55
470	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	+20
471	resnetv2_50x1_bit.goog_in21k_ft_in1k	27.307	72.693	62.867	37.133	25.55	448	1.000	bilinear	-67.703	-36.113	+136
472	regnety_080_tv.tv2_in1k	27.280	72.720	61.520	38.480	39.38	224	0.965	bicubic	-68.580	-37.730	-24
473	coatnet_bn_0_rw_224.sw_in1k	27.213	72.787	61.253	38.747	27.44	224	0.950	bicubic	-68.487	-37.797	-1
474	xcit_small_12_p16_224.fb_dist_in1k	27.147	72.853	59.800	40.200	26.25	224	1.000	bicubic	-68.883	-39.190	-63
475	dm_nfnet_f0.dm_in1k	27.067	72.933	58.320	41.680	71.49	256	0.900	bicubic	-69.243	-41.000	-129
476	vit_small_patch16_224.augreg_in21k_ft_in1k	27.040	72.960	59.253	40.747	22.05	224	0.900	bicubic	-68.330	-39.687	+67
477	coatnet_0_rw_224.sw_in1k	27.027	72.973	59.387	40.613	27.44	224	0.950	bicubic	-68.413	-39.663	+52
478	sequencer2d_s.in1k	26.867	73.133	60.640	39.360	27.65	224	0.875	bicubic	-69.113	-38.490	-55
479	flexivit_small.600ep_in1k	26.853	73.147	57.253	42.747	22.06	240	0.950	bicubic	-68.817	-41.807	-3
480	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	-105
481	gcvit_xtiny.in1k	26.693	73.307	60.907	39.093	19.98	224	0.875	bicubic	-68.897	-38.133	+7
482	mobilevitv2_200.cvnets_in22k_ft_in1k	26.653	73.347	59.400	40.600	18.45	256	0.888	bicubic	-68.507	-39.700	+94
483	swin_s3_tiny_224.ms_in1k	26.520	73.480	60.347	39.653	28.33	224	0.900	bicubic	-68.660	-38.603	+90
484	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	+48
485	swinv2_tiny_window8_256.ms_in1k	26.387	73.613	60.480	39.520	28.35	256	0.900	bicubic	-69.103	-38.480	+27
486	tf_efficientnet_b4.aa_in1k	26.293	73.707	60.080	39.920	19.34	380	0.922	bicubic	-69.607	-38.970	-46
487	regnetx_320.tv2_in1k	26.267	73.733	58.133	41.867	107.81	224	0.965	bicubic	-69.723	-40.967	-66
488	tf_efficientnet_b4.ap_in1k	26.227	73.773	60.240	39.760	19.34	380	0.922	bicubic	-69.933	-38.900	-116
489	coatnext_nano_rw_224.sw_in1k	26.227	73.773	59.613	40.387	14.70	224	0.900	bicubic	-69.203	-39.397	+43
490	deit3_small_patch16_224.fb_in1k	26.227	73.773	54.480	45.520	22.06	224	0.900	bicubic	-68.763	-44.500	+123
491	nfnet_l0.ra2_in1k	26.213	73.787	61.747	38.253	35.07	288	1.000	bicubic	-69.907	-37.523	-103
492	regnety_032.ra_in1k	26.200	73.800	61.013	38.987	19.44	288	1.000	bicubic	-69.760	-38.177	-64
493	ecaresnet50t.ra2_in1k	26.120	73.880	60.013	39.987	25.57	320	0.950	bicubic	-69.400	-38.797	+7
494	fbnetv3_g.ra2_in1k	26.107	73.893	61.080	38.920	16.62	288	0.950	bilinear	-69.413	-38.030	+7
495	mobilevitv2_175.cvnets_in22k_ft_in1k	26.013	73.987	58.520	41.480	14.25	256	0.888	bicubic	-69.207	-40.280	+71
496	flexivit_small.300ep_in1k	25.907	74.093	57.080	42.920	22.06	240	0.950	bicubic	-69.583	-42.020	+18
497	visformer_small.in1k	25.853	74.147	58.933	41.067	40.22	224	0.900	bicubic	-69.627	-39.967	+21
498	inception_next_tiny.sail_in1k	25.800	74.200	59.813	40.187	28.06	224	0.875	bicubic	-69.660	-39.097	+22
499	vit_small_patch16_384.augreg_in1k	25.773	74.227	57.587	42.413	22.20	384	1.000	bicubic	-69.517	-41.413	+57
500	convformer_s18.sail_in1k	25.680	74.320	57.960	42.040	26.77	224	1.000	bicubic	-70.270	-41.120	-69
501	halo2botnet50ts_256.a1h_in1k	25.573	74.427	56.827	43.173	22.64	256	0.950	bicubic	-69.847	-42.193	+34
502	vit_relpos_medium_patch16_rpn_224.sw_in1k	25.520	74.480	58.667	41.333	38.73	224	0.900	bicubic	-69.980	-40.113	+7
503	coat_mini.in1k	25.507	74.493	57.707	42.293	10.34	224	0.900	bicubic	-69.463	-41.373	+112
504	crossvit_15_240.in1k	25.453	74.547	57.587	42.413	27.53	240	0.875	bicubic	-69.697	-41.223	+76
505	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	+56
506	resnet101.a1_in1k	25.253	74.747	55.120	44.880	44.55	288	1.000	bicubic	-70.267	-43.730	-3
507	resnetv2_50x1_bit.goog_distilled_in1k	25.200	74.800	59.667	40.333	25.55	224	0.875	bicubic	-70.910	-39.603	-117
508	convit_small.fb_in1k	25.147	74.853	57.293	42.707	27.78	224	0.875	bicubic	-70.063	-41.607	+59
509	xcit_small_12_p16_224.fb_in1k	25.107	74.893	56.067	43.933	26.25	224	1.000	bicubic	-70.323	-42.563	+24
510	vit_base_patch16_rpn_224.sw_in1k	25.080	74.920	58.680	41.320	86.54	224	0.900	bicubic	-70.310	-40.180	+31
511	gc_efficientnetv2_rw_t.agc_in1k	25.067	74.933	57.707	42.293	13.68	288	1.000	bicubic	-70.673	-41.473	-43
512	resnet152.a2_in1k	25.053	74.947	54.320	45.680	60.19	288	1.000	bicubic	-70.437	-44.670	+3
513	eca_nfnet_l0.ra2_in1k	24.800	75.200	60.040	39.960	24.14	288	1.000	bicubic	-71.140	-39.070	-80
514	xception41p.ra3_in1k	24.787	75.213	55.253	44.747	26.91	299	0.940	bicubic	-70.723	-43.657	-7
515	efficientvit_b2.r256_in1k	24.773	75.227	59.720	40.280	24.33	256	1.000	bicubic	-70.877	-39.340	-36
516	tnt_s_patch16_224	24.707	75.293	58.173	41.827	23.76	224	0.900	bicubic	-70.333	-40.657	+85
517	convnext_nano_ols.d1h_in1k	24.547	75.453	57.027	42.973	15.65	288	1.000	bicubic	-70.593	-41.823	+70
518	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	+70
519	cs3darknet_x.c2ns_in1k	24.387	75.613	57.760	42.240	35.05	288	1.000	bicubic	-71.463	-41.410	-69
520	efficientnetv2_rw_t.ra2_in1k	24.280	75.720	57.400	42.600	13.65	288	1.000	bicubic	-71.310	-41.670	-33
521	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	+23
522	eva02_tiny_patch14_336.mim_in22k_ft_in1k	24.133	75.867	55.400	44.600	5.76	336	1.000	bicubic	-70.777	-43.480	+100
523	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	24.120	75.880	57.373	42.627	44.18	224	0.875	bilinear	-71.320	-41.347	+3
524	twins_svt_small.in1k	24.107	75.893	57.160	42.840	24.06	224	0.900	bicubic	-71.083	-41.720	+48
525	coatnet_nano_rw_224.sw_in1k	24.093	75.907	57.147	42.853	15.14	224	0.900	bicubic	-71.147	-41.843	+39
526	vit_small_r26_s32_224.augreg_in21k_ft_in1k	24.093	75.907	56.213	43.787	36.43	224	0.900	bicubic	-71.537	-42.727	-44
527	tf_efficientnet_b5.in1k	24.080	75.920	58.347	41.653	30.39	456	0.934	bicubic	-71.990	-40.843	-125
528	tf_efficientnet_b2.ns_jft_in1k	24.040	75.960	57.320	42.680	9.11	260	0.890	bicubic	-71.730	-41.660	-65
529	mobilevitv2_150.cvnets_in22k_ft_in1k	24.013	75.987	55.920	44.080	10.59	256	0.888	bicubic	-71.127	-42.860	+55
530	vit_relpos_small_patch16_224.sw_in1k	24.000	76.000	58.160	41.840	21.98	224	0.900	bicubic	-71.150	-40.800	+48
531	convnext_nano.d1h_in1k	24.000	76.000	56.200	43.800	15.59	288	1.000	bicubic	-71.350	-42.720	+17
532	cs3sedarknet_l.c2ns_in1k	23.960	76.040	58.760	41.240	21.91	288	0.950	bicubic	-71.350	-40.370	+19
533	ecaresnet50d.miil_in1k	23.933	76.067	58.760	41.240	25.58	288	0.950	bicubic	-71.517	-40.080	-10
534	poolformer_m48.sail_in1k	23.867	76.133	57.160	42.840	73.47	224	0.950	bicubic	-71.763	-42.030	-50
535	vit_small_patch32_384.augreg_in21k_ft_in1k	23.760	76.240	57.280	42.720	22.92	384	1.000	bicubic	-71.260	-41.600	+68
536	tiny_vit_11m_224.in1k	23.627	76.373	58.973	41.027	11.00	224	0.950	bicubic	-71.863	-39.817	-23
537	lamhalobotnet50ts_256.a1h_in1k	23.613	76.387	55.320	44.680	22.57	256	0.950	bicubic	-71.537	-43.560	+44
538	nasnetalarge.tf_in1k	23.493	76.507	55.000	45.000	88.75	331	0.911	bicubic	-72.197	-43.930	-64
539	crossvit_small_240.in1k	23.427	76.573	56.840	43.160	26.86	240	0.875	bicubic	-71.423	-42.180	+95
540	levit_384.fb_dist_in1k	23.400	76.600	56.400	43.600	39.13	224	0.900	bicubic	-72.130	-42.660	-42
541	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
542	seresnext50_32x4d.racm_in1k	23.360	76.640	57.453	42.547	27.56	288	0.950	bicubic	-72.380	-41.567	-75
543	pnasnet5large.tf_in1k	23.333	76.667	53.627	46.373	86.06	331	0.911	bicubic	-72.377	-45.403	-72
544	focalnet_tiny_srf.ms_in1k	23.267	76.733	58.333	41.667	28.43	224	0.900	bicubic	-72.233	-40.797	-36
545	efficientnet_b3.ra2_in1k	23.200	76.800	55.947	44.053	12.23	320	1.000	bicubic	-72.520	-43.093	-76
546	wide_resnet50_2.racm_in1k	23.187	76.813	56.000	44.000	68.88	288	0.950	bicubic	-72.443	-42.660	-65
547	pit_s_distilled_224.in1k	23.160	76.840	57.093	42.907	24.04	224	0.900	bicubic	-71.980	-41.637	+36
548	hrnet_w18_ssld.paddle_in1k	23.147	76.853	55.160	44.840	21.30	288	1.000	bilinear	-72.843	-44.150	-130
549	efficientformer_l3.snap_dist_in1k	23.120	76.880	57.147	42.853	31.41	224	0.950	bicubic	-72.470	-42.013	-63
550	nest_tiny_jx.goog_in1k	23.107	76.893	56.200	43.800	17.06	224	0.875	bicubic	-72.133	-42.710	+12
551	focalnet_tiny_lrf.ms_in1k	23.080	76.920	58.560	41.440	28.65	224	0.900	bicubic	-72.380	-40.400	-29
552	tiny_vit_5m_224.dist_in22k_ft_in1k	23.067	76.933	56.480	43.520	5.39	224	0.950	bicubic	-71.983	-42.490	+47
553	resnet61q.ra2_in1k	23.013	76.987	55.760	44.240	36.85	288	1.000	bicubic	-72.767	-43.230	-91
554	regnetx_160.tv2_in1k	22.987	77.013	56.333	43.667	54.28	224	0.965	bicubic	-72.893	-42.757	-111
555	resmlp_big_24_224.fb_in1k	22.893	77.107	54.280	45.720	129.14	224	0.875	bicubic	-71.787	-44.220	+106
556	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	+46
557	resnetv2_50d_evos.ah_in1k	22.867	77.133	55.173	44.827	25.59	288	1.000	bicubic	-72.763	-43.937	-75
558	halonet50ts.a1h_in1k	22.867	77.133	54.013	45.987	22.73	256	0.940	bicubic	-72.273	-44.877	+29
559	vit_base_patch32_clip_224.laion2b_ft_in1k	22.853	77.147	55.013	44.987	88.22	224	0.900	bicubic	-72.667	-43.977	-57
560	tf_efficientnet_b4.in1k	22.773	77.227	57.093	42.907	19.34	380	0.922	bicubic	-73.047	-41.957	-105
561	poolformerv2_m48.sail_in1k	22.760	77.240	55.747	44.253	73.35	224	1.000	bicubic	-73.010	-43.293	-96
562	twins_pcpvt_small.in1k	22.693	77.307	56.813	43.187	24.11	224	0.900	bicubic	-72.517	-42.067	+6
563	repvit_m1_5.dist_450e_in1k	22.680	77.320	56.107	43.893	14.64	224	0.950	bicubic	-73.220	-43.013	-122
564	convnextv2_nano.fcmae_ft_in1k	22.653	77.347	58.307	41.693	15.62	288	1.000	bicubic	-73.147	-40.783	-106
565	poolformer_m36.sail_in1k	22.587	77.413	55.373	44.627	56.17	224	0.950	bicubic	-72.803	-43.567	-23
566	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	+25
567	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	+41
568	resnetv2_50d_gn.ah_in1k	22.307	77.693	55.000	45.000	25.57	288	1.000	bicubic	-73.173	-43.950	-51
569	ecaresnet101d_pruned.miil_in1k	22.267	77.733	56.227	43.773	24.88	288	0.950	bicubic	-73.493	-42.953	-103
570	wide_resnet101_2.tv2_in1k	22.160	77.840	54.973	45.027	126.89	224	0.965	bilinear	-73.380	-43.887	-76
571	ecaresnet50t.a1_in1k	22.093	77.907	53.680	46.320	25.57	288	1.000	bicubic	-73.317	-45.330	-35
572	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	+23
573	resnext50_32x4d.a1h_in1k	22.013	77.987	54.080	45.920	25.03	288	1.000	bicubic	-73.437	-44.760	-48
574	efficientvit_b2.r224_in1k	22.000	78.000	55.533	44.467	24.33	224	0.950	bicubic	-73.200	-43.387	-3
575	res2net101d.in1k	21.853	78.147	51.680	48.320	45.23	224	0.875	bilinear	-72.967	-47.090	+67
576	tresnet_m.miil_in21k_ft_in1k	21.680	78.320	53.853	46.147	31.39	224	0.875	bilinear	-74.030	-45.067	-106
577	repvit_m1_5.dist_300e_in1k	21.613	78.387	54.707	45.293	14.64	224	0.950	bicubic	-74.027	-44.283	-97
578	efficientformerv2_s2.snap_dist_in1k	21.547	78.453	54.240	45.760	12.71	224	0.950	bicubic	-73.813	-44.690	-33
579	fastvit_sa12.apple_dist_in1k	21.493	78.507	54.613	45.387	11.58	256	0.900	bicubic	-73.657	-44.347	+3
580	resnet50_gn.a1h_in1k	21.387	78.613	54.067	45.933	25.56	288	0.950	bicubic	-73.863	-44.933	-20
581	maxvit_rmlp_pico_rw_256.sw_in1k	21.240	78.760	51.920	48.080	7.52	256	0.950	bicubic	-73.400	-46.890	+88
582	convmixer_1536_20.in1k	21.213	78.787	55.507	44.493	51.63	224	0.960	bicubic	-73.867	-43.523	+14
583	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
584	resnet101.a2_in1k	21.173	78.827	51.920	48.080	44.55	288	1.000	bicubic	-74.237	-47.020	-46
585	pit_s_224.in1k	21.080	78.920	53.613	46.387	23.46	224	0.900	bicubic	-73.490	-45.087	+100
586	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	+73
587	resnet51q.ra2_in1k	20.920	79.080	55.680	44.320	35.70	288	1.000	bilinear	-74.950	-43.450	-144
588	poolformerv2_m36.sail_in1k	20.920	79.080	53.120	46.880	56.08	224	1.000	bicubic	-74.480	-46.180	-47
589	resnetrs101.tf_in1k	20.867	79.133	52.827	47.173	63.62	288	0.940	bicubic	-74.563	-46.163	-59
590	deit_small_distilled_patch16_224.fb_in1k	20.720	79.280	55.133	44.867	22.44	224	0.900	bicubic	-73.990	-43.897	+67
591	sebotnet33ts_256.a1h_in1k	20.720	79.280	48.760	51.240	13.70	256	0.940	bicubic	-73.890	-49.750	+89
592	regnety_032.tv2_in1k	20.547	79.453	54.347	45.653	19.44	224	0.965	bicubic	-74.763	-44.563	-39
593	resnet152.tv2_in1k	20.493	79.507	52.347	47.653	60.19	224	0.965	bilinear	-75.007	-46.613	-83
594	ecaresnetlight.miil_in1k	20.480	79.520	53.413	46.587	30.16	288	0.950	bicubic	-74.810	-45.617	-39
595	resnest50d_4s2x40d.in1k	20.387	79.613	52.773	47.227	30.42	224	0.875	bicubic	-74.583	-46.007	+19
596	resnetaa50.a1h_in1k	20.067	79.933	51.947	48.053	25.56	288	1.000	bicubic	-75.133	-47.143	-26
597	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	20.040	79.960	53.560	46.440	25.03	224	0.875	bilinear	-74.850	-45.300	+27
598	haloregnetz_b.ra3_in1k	20.013	79.987	49.987	50.013	11.68	224	0.940	bicubic	-74.677	-48.843	+62
599	regnetz_b16.ra3_in1k	19.813	80.187	52.853	47.147	9.72	288	1.000	bicubic	-75.357	-46.227	-25
600	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	+221
601	resnext50_32x4d.a1_in1k	19.733	80.267	50.173	49.827	25.03	288	1.000	bicubic	-75.097	-48.417	+40
602	tresnet_xl.miil_in1k	19.640	80.360	53.160	46.840	78.44	224	0.875	bilinear	-75.800	-45.630	-75
603	senet154.gluon_in1k	19.320	80.680	47.600	52.400	115.09	224	0.875	bicubic	-75.600	-51.160	+18
604	rexnet_200.nav_in1k	19.227	80.773	52.640	47.360	16.37	224	0.875	bicubic	-75.713	-46.370	+12
605	levit_conv_256.fb_dist_in1k	19.187	80.813	50.067	49.933	18.89	224	0.900	bicubic	-75.833	-48.923	+1
606	levit_256.fb_dist_in1k	19.173	80.827	50.107	49.893	18.89	224	0.900	bicubic	-75.847	-48.823	-1
607	lambda_resnet50ts.a1h_in1k	19.147	80.853	49.240	50.760	21.54	256	0.950	bicubic	-75.623	-49.450	+37
608	repvgg_b3.rvgg_in1k	19.067	80.933	50.293	49.707	123.09	224	0.875	bilinear	-75.483	-48.417	+79
609	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	-56
610	legacy_senet154.in1k	19.040	80.960	47.947	52.053	115.09	224	0.875	bilinear	-76.030	-50.883	-11
611	resnet50d.a1_in1k	18.960	81.040	48.813	51.187	25.58	288	1.000	bicubic	-75.770	-49.937	+44
612	seresnext101_64x4d.gluon_in1k	18.933	81.067	49.213	50.787	88.23	224	0.875	bicubic	-75.997	-49.617	+6
613	deit_small_patch16_224.fb_in1k	18.893	81.107	51.400	48.600	22.05	224	0.900	bicubic	-75.457	-47.290	+105
614	mobilevitv2_200.cvnets_in1k	18.893	81.107	50.520	49.480	18.45	256	0.888	bicubic	-75.947	-48.010	+23
615	gcvit_xxtiny.in1k	18.773	81.227	53.347	46.653	12.00	224	0.875	bicubic	-75.647	-45.543	+95
616	edgenext_small.usi_in1k	18.680	81.320	53.600	46.400	5.59	320	1.000	bicubic	-76.720	-45.270	-77
617	tf_efficientnet_b1.ns_jft_in1k	18.653	81.347	51.733	48.267	7.79	240	0.882	bicubic	-76.507	-47.217	-42
618	regnetx_080.tv2_in1k	18.573	81.427	50.333	49.667	39.57	224	0.965	bicubic	-76.527	-48.497	-24
619	ecaresnet50t.a2_in1k	18.533	81.467	48.773	51.227	25.57	288	1.000	bicubic	-76.817	-50.087	-73
620	poolformer_s36.sail_in1k	18.493	81.507	52.187	47.813	30.86	224	0.900	bicubic	-76.587	-46.723	-23
621	repvit_m3.dist_in1k	18.480	81.520	51.867	48.133	10.68	224	0.950	bicubic	-76.720	-46.953	-52
622	wide_resnet50_2.tv2_in1k	18.467	81.533	52.467	47.533	68.88	224	0.965	bilinear	-76.403	-46.443	+8
623	cait_xxs36_224.fb_dist_in1k	18.307	81.693	49.480	50.520	17.30	224	1.000	bicubic	-75.963	-49.230	+106
624	cs3darknet_l.c2ns_in1k	18.293	81.707	51.840	48.160	21.16	288	0.950	bicubic	-76.827	-47.140	-35
625	seresnet50.ra2_in1k	18.293	81.707	51.253	48.747	28.09	288	0.950	bicubic	-77.037	-47.757	-76
626	sehalonet33ts.ra2_in1k	18.227	81.773	47.733	52.267	13.69	256	0.940	bicubic	-76.533	-50.837	+21
627	ese_vovnet39b.ra_in1k	18.200	81.800	49.880	50.120	24.57	288	0.950	bicubic	-76.670	-49.060	+4
628	tf_efficientnet_lite4.in1k	18.120	81.880	50.707	49.293	13.01	380	0.920	bilinear	-76.760	-48.183	0
629	vit_tiny_patch16_384.augreg_in21k_ft_in1k	18.027	81.973	50.307	49.693	5.79	384	1.000	bicubic	-75.623	-48.283	+177
630	tiny_vit_5m_224.in1k	18.000	82.000	50.173	49.827	5.39	224	0.950	bicubic	-76.240	-48.287	+100
631	gcresnet50t.ra2_in1k	17.880	82.120	49.413	50.587	25.90	288	1.000	bicubic	-77.360	-49.567	-68
632	resnet50d.ra2_in1k	17.853	82.147	50.240	49.760	25.58	288	0.950	bicubic	-77.157	-48.670	-23
633	mobilevitv2_175.cvnets_in1k	17.787	82.213	49.747	50.253	14.25	256	0.888	bicubic	-77.103	-49.113	-8
634	resnest50d_1s4x24d.in1k	17.640	82.360	49.760	50.240	25.68	224	0.875	bicubic	-77.090	-49.220	+16
635	resnetv2_50.a1h_in1k	17.587	82.413	49.813	50.187	25.55	288	1.000	bicubic	-77.263	-49.057	+1
636	resnet50.c2_in1k	17.533	82.467	49.760	50.240	25.56	288	1.000	bicubic	-77.387	-49.050	-16
637	resnest50d.in1k	17.360	82.640	50.733	49.267	27.48	224	0.875	bilinear	-77.490	-48.147	-2
638	convnext_pico.d1_in1k	17.347	82.653	50.213	49.787	9.05	288	0.950	bicubic	-77.413	-48.717	+8
639	seresnext101_32x4d.gluon_in1k	17.333	82.667	46.373	53.627	48.96	224	0.875	bicubic	-77.557	-52.447	-12
640	efficientnet_el.ra_in1k	17.320	82.680	50.027	49.973	10.59	300	0.904	bicubic	-77.800	-48.943	-50
641	inception_v4.tf_in1k	17.293	82.707	45.867	54.133	42.68	299	0.875	bicubic	-77.077	-52.763	+75
642	tf_efficientnet_b3.ap_in1k	17.227	82.773	49.680	50.320	12.23	300	0.904	bicubic	-78.093	-49.220	-92
643	gcresnext50ts.ch_in1k	17.173	82.827	48.107	51.893	15.67	288	1.000	bicubic	-77.687	-50.753	-11
644	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	+49
645	fastvit_s12.apple_dist_in1k	17.120	82.880	49.400	50.600	9.47	256	0.900	bicubic	-77.710	-49.370	-6
646	regnetx_032.tv2_in1k	17.067	82.933	48.107	51.893	15.30	224	0.965	bicubic	-77.593	-50.693	+18
647	xception71.tf_in1k	17.027	82.973	45.547	54.453	42.34	299	0.903	bicubic	-77.273	-53.103	+80
648	regnety_016.tv2_in1k	16.973	83.027	49.853	50.147	11.20	224	0.965	bicubic	-77.547	-48.967	+48
649	tf_efficientnet_b3.aa_in1k	16.973	83.027	49.280	50.720	12.23	300	0.904	bicubic	-78.037	-49.750	-39
650	cs3darknet_focus_l.c2ns_in1k	16.960	83.040	50.493	49.507	21.15	288	0.950	bicubic	-78.190	-48.437	-72
651	convnextv2_pico.fcmae_ft_in1k	16.907	83.093	50.307	49.693	9.07	288	0.950	bicubic	-78.323	-48.613	-86
652	resmlp_36_224.fb_distilled_in1k	16.880	83.120	51.493	48.507	44.69	224	0.875	bicubic	-78.010	-47.377	-26
653	resnext101_64x4d.gluon_in1k	16.867	83.133	44.147	55.853	83.46	224	0.875	bicubic	-77.803	-54.513	+10
654	poolformerv2_s36.sail_in1k	16.680	83.320	49.600	50.400	30.79	224	1.000	bicubic	-78.630	-49.320	-102
655	resnet152d.gluon_in1k	16.627	83.373	44.213	55.787	60.21	224	0.875	bicubic	-78.103	-54.277	-2
656	tf_efficientnetv2_b3.in1k	16.600	83.400	48.680	51.320	14.36	300	0.904	bicubic	-78.560	-50.140	-79
657	gmlp_s16_224.ra3_in1k	16.547	83.453	45.080	54.920	19.42	224	0.875	bicubic	-77.603	-53.590	+90
658	resnet152s.gluon_in1k	16.547	83.453	44.507	55.493	60.32	224	0.875	bicubic	-78.473	-54.373	-54
659	tresnet_l.miil_in1k	16.533	83.467	49.893	50.107	55.99	224	0.875	bilinear	-78.747	-49.067	-102
660	inception_resnet_v2.tf_in1k	16.520	83.480	44.973	55.027	55.84	299	0.897	bicubic	-78.060	-53.817	+22
661	convnext_pico_ols.d1_in1k	16.507	83.493	49.707	50.293	9.06	288	1.000	bicubic	-78.113	-49.153	+16
662	seresnet50.a1_in1k	16.493	83.507	46.760	53.240	28.09	288	1.000	bicubic	-78.167	-52.020	+5
663	resmlp_24_224.fb_distilled_in1k	16.453	83.547	50.347	49.653	30.02	224	0.875	bicubic	-77.997	-48.423	+44
664	mobilevitv2_150.cvnets_in1k	16.453	83.547	48.453	51.547	10.59	256	0.888	bicubic	-78.097	-50.327	+25
665	resnet101.tv2_in1k	16.400	83.600	48.707	51.293	44.55	224	0.965	bilinear	-78.880	-50.303	-106
666	gernet_l.idstcv_in1k	16.320	83.680	47.227	52.773	31.08	256	0.875	bilinear	-78.790	-51.753	-73
667	repvit_m1_1.dist_450e_in1k	16.280	83.720	49.680	50.320	8.80	224	0.950	bicubic	-78.620	-49.280	-46
668	fastvit_sa12.apple_in1k	16.280	83.720	49.653	50.347	11.58	256	0.900	bicubic	-78.600	-49.367	-38
669	inception_resnet_v2.tf_ens_adv_in1k	16.280	83.720	43.640	56.360	55.84	299	0.897	bicubic	-77.890	-54.900	+73
670	repvgg_b3g4.rvgg_in1k	16.227	83.773	47.653	52.347	83.83	224	0.875	bilinear	-78.283	-51.317	+28
671	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	+86
672	resnet50.a1_in1k	16.040	83.960	45.773	54.227	25.56	288	1.000	bicubic	-78.700	-52.907	-24
673	xception65.tf_in1k	16.040	83.960	43.760	56.240	39.92	299	0.903	bicubic	-77.740	-54.610	+119
674	resnet50.c1_in1k	16.000	84.000	47.387	52.613	25.56	288	1.000	bicubic	-78.730	-51.433	-23
675	ecaresnet50d_pruned.miil_in1k	15.987	84.013	49.707	50.293	19.94	288	0.950	bicubic	-79.123	-49.193	-83
676	edgenext_small_rw.sw_in1k	15.987	84.013	49.667	50.333	7.83	320	1.000	bicubic	-78.683	-49.113	-14
677	resnet50.fb_ssl_yfcc100m_ft_in1k	15.920	84.080	49.413	50.587	25.56	224	0.875	bilinear	-78.530	-49.327	+30
678	resnext50_32x4d.ra_in1k	15.867	84.133	47.227	52.773	25.03	288	0.950	bicubic	-78.833	-51.533	-20
679	fastvit_t12.apple_dist_in1k	15.640	84.360	47.680	52.320	7.55	256	0.900	bicubic	-78.950	-51.110	+2
680	resnet50.d_in1k	15.640	84.360	45.160	54.840	25.56	288	1.000	bicubic	-79.340	-53.680	-67
681	regnety_320.pycls_in1k	15.627	84.373	44.760	55.240	145.05	224	0.875	bicubic	-78.913	-54.030	+9
682	vit_base_patch32_384.augreg_in1k	15.600	84.400	44.147	55.853	88.30	384	1.000	bicubic	-78.040	-54.093	+127
683	convmixer_768_32.in1k	15.507	84.493	47.907	52.093	21.11	224	0.960	bicubic	-78.993	-50.953	+17
684	ecaresnet26t.ra2_in1k	15.453	84.547	47.960	52.040	16.01	320	0.950	bicubic	-78.867	-50.760	+38
685	resnext50d_32x4d.bt_in1k	15.400	84.600	46.187	53.813	25.05	288	0.950	bicubic	-79.150	-52.503	+3
686	coat_tiny.in1k	15.400	84.600	45.587	54.413	5.50	224	0.900	bicubic	-78.180	-52.833	+129
687	resnet50d.a2_in1k	15.387	84.613	44.813	55.187	25.58	288	1.000	bicubic	-79.193	-53.877	-4
688	skresnext50_32x4d.ra_in1k	15.373	84.627	44.547	55.453	27.48	224	0.875	bicubic	-78.867	-54.143	+43
689	resnext50_32x4d.a2_in1k	15.293	84.707	45.253	54.747	25.03	288	1.000	bicubic	-79.287	-53.397	-5
690	efficientvit_b1.r288_in1k	15.280	84.720	46.600	53.400	9.10	288	1.000	bicubic	-79.210	-51.920	+11
691	seresnet33ts.ra2_in1k	15.267	84.733	47.373	52.627	19.78	288	1.000	bicubic	-79.773	-51.527	-91
692	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	+107
693	cait_xxs24_224.fb_dist_in1k	15.160	84.840	44.893	55.107	11.96	224	1.000	bicubic	-78.450	-53.567	+119
694	eca_resnet33ts.ra2_in1k	15.053	84.947	49.013	50.987	19.68	288	1.000	bicubic	-79.567	-49.747	-21
695	vit_base_patch16_224.augreg_in1k	15.013	84.987	42.027	57.973	86.57	224	0.900	bicubic	-78.627	-56.373	+115
696	fastvit_s12.apple_in1k	14.920	85.080	45.320	54.680	9.47	256	0.900	bicubic	-79.210	-53.430	+56
697	repvit_m1_0.dist_450e_in1k	14.907	85.093	46.827	53.173	7.30	224	0.950	bicubic	-79.623	-52.053	-3
698	levit_conv_192.fb_dist_in1k	14.907	85.093	44.933	55.067	10.95	224	0.900	bicubic	-79.263	-53.747	+46
699	levit_192.fb_dist_in1k	14.880	85.120	44.933	55.067	10.95	224	0.900	bicubic	-79.290	-53.607	+43
700	seresnet50.a2_in1k	14.840	85.160	44.400	55.600	28.09	288	1.000	bicubic	-79.820	-54.320	-34
701	poolformerv2_s24.sail_in1k	14.800	85.200	45.920	54.080	21.34	224	1.000	bicubic	-79.850	-52.920	-33
702	repvit_m1_1.dist_300e_in1k	14.760	85.240	47.227	52.773	8.80	224	0.950	bicubic	-80.000	-51.483	-57
703	rexnet_150.nav_in1k	14.733	85.267	46.880	53.120	9.73	224	0.875	bicubic	-79.747	-51.920	0
704	darknet53.c2ns_in1k	14.680	85.320	47.107	52.893	41.61	288	1.000	bicubic	-79.940	-51.793	-30
705	gcresnet33ts.ra2_in1k	14.667	85.333	46.320	53.680	19.88	288	1.000	bicubic	-80.253	-52.490	-86
706	resnet50.tv2_in1k	14.640	85.360	46.973	53.027	25.56	224	0.965	bilinear	-80.000	-51.827	-36
707	res2net50d.in1k	14.627	85.373	44.480	55.520	25.72	224	0.875	bilinear	-79.693	-54.160	+18
708	darknetaa53.c2ns_in1k	14.560	85.440	45.427	54.573	36.02	288	1.000	bilinear	-79.910	-53.393	-4
709	coat_lite_mini.in1k	14.560	85.440	44.493	55.507	11.01	224	0.900	bicubic	-79.480	-54.057	+52
710	efficientnet_el_pruned.in1k	14.480	85.520	46.107	53.893	10.59	300	0.904	bicubic	-79.910	-52.633	+3
711	efficientnet_b2.ra_in1k	14.440	85.560	46.053	53.947	9.11	288	1.000	bicubic	-80.180	-52.727	-33
712	poolformer_s24.sail_in1k	14.267	85.733	47.360	52.640	21.39	224	0.900	bicubic	-80.293	-51.540	-26
713	legacy_seresnext101_32x4d.in1k	14.173	85.827	43.000	57.000	48.96	224	0.875	bilinear	-80.197	-55.580	+2
714	fbnetv3_d.ra2_in1k	14.093	85.907	46.467	53.533	10.31	256	0.950	bilinear	-79.827	-52.153	+59
715	gernet_m.idstcv_in1k	14.080	85.920	46.080	53.920	21.14	224	0.875	bilinear	-80.540	-52.830	-40
716	pvt_v2_b1.in1k	14.027	85.973	47.733	52.267	14.01	224	0.900	bicubic	-79.773	-50.927	+73
717	repvit_m2.dist_in1k	14.013	85.987	46.373	53.627	8.80	224	0.950	bicubic	-80.727	-52.337	-69
718	mobilevitv2_125.cvnets_in1k	14.013	85.987	45.027	54.973	7.48	256	0.888	bicubic	-79.947	-53.523	+53
719	dpn68b.ra_in1k	13.893	86.107	40.307	59.693	12.61	288	1.000	bicubic	-80.107	-58.193	+47
720	resnext101_32x4d.gluon_in1k	13.853	86.147	41.640	58.360	44.18	224	0.875	bicubic	-80.687	-57.140	-26
721	seresnext50_32x4d.gluon_in1k	13.627	86.373	43.773	56.227	27.56	224	0.875	bicubic	-80.703	-54.837	0
722	fastvit_t12.apple_in1k	13.613	86.387	43.307	56.693	7.55	256	0.900	bicubic	-80.307	-55.303	+54
723	pit_xs_distilled_224.in1k	13.573	86.427	45.173	54.827	11.00	224	0.900	bicubic	-80.207	-53.327	+67
724	resnet152.a3_in1k	13.547	86.453	43.387	56.613	60.19	224	0.950	bicubic	-81.183	-55.293	-70
725	resmlp_36_224.fb_in1k	13.467	86.533	46.667	53.333	44.69	224	0.875	bicubic	-80.723	-51.943	+11
726	repvgg_b2g4.rvgg_in1k	13.467	86.533	43.853	56.147	61.76	224	0.875	bilinear	-80.413	-54.807	+57
727	efficientformerv2_s1.snap_dist_in1k	13.453	86.547	42.933	57.067	6.19	224	0.950	bicubic	-80.747	-55.707	+9
728	vit_small_patch16_224.augreg_in1k	13.387	86.613	41.427	58.573	22.05	224	0.900	bicubic	-80.503	-57.013	+52
729	eca_botnext26ts_256.c1_in1k	13.320	86.680	42.133	57.867	10.59	256	0.950	bicubic	-80.460	-56.487	+62
730	visformer_tiny.in1k	13.307	86.693	43.933	56.067	10.32	224	0.900	bicubic	-80.253	-54.457	+86
731	regnetx_320.pycls_in1k	13.293	86.707	40.747	59.253	107.81	224	0.875	bicubic	-81.157	-58.173	-22
732	resnet101d.gluon_in1k	13.200	86.800	41.547	58.453	44.57	224	0.875	bicubic	-81.030	-56.993	+1
733	efficientnet_b3_pruned.in1k	13.160	86.840	45.200	54.800	9.86	300	0.904	bicubic	-81.470	-53.560	-62
734	resnet50.b1k_in1k	13.093	86.907	43.947	56.053	25.56	288	1.000	bicubic	-81.767	-54.863	-101
735	mixnet_xl.ra_in1k	13.080	86.920	43.213	56.787	11.90	224	0.875	bicubic	-81.100	-55.107	+4
736	cspresnext50.ra_in1k	13.053	86.947	44.973	55.027	20.57	256	0.887	bilinear	-81.777	-53.837	-96
737	efficientformer_l1.snap_dist_in1k	13.013	86.987	45.600	54.400	12.29	224	0.950	bicubic	-81.467	-53.230	-35
738	regnetx_016.tv2_in1k	13.000	87.000	45.427	54.573	9.19	224	0.965	bicubic	-81.130	-53.193	+13
739	repvit_m1_0.dist_300e_in1k	13.000	87.000	44.413	55.587	7.30	224	0.950	bicubic	-81.300	-54.437	-13
740	nf_regnet_b1.ra2_in1k	12.947	87.053	44.373	55.627	10.22	288	0.900	bicubic	-81.163	-54.247	+12
741	eca_halonext26ts.c1_in1k	12.947	87.053	42.813	57.187	10.76	256	0.940	bicubic	-81.093	-55.677	+21
742	mobilevit_s.cvnets_in1k	12.907	87.093	40.760	59.240	5.58	256	0.900	bicubic	-80.253	-57.560	+120
743	pit_xs_224.in1k	12.827	87.173	42.813	57.187	10.62	224	0.900	bicubic	-80.273	-55.517	+126
744	tf_efficientnet_b3.in1k	12.787	87.213	43.627	56.373	12.23	300	0.904	bicubic	-81.753	-55.223	-53
745	resnet50.b2k_in1k	12.760	87.240	44.133	55.867	25.56	288	1.000	bicubic	-81.970	-54.797	-93
746	resnext50_32x4d.tv2_in1k	12.693	87.307	43.093	56.907	25.03	224	0.965	bilinear	-81.927	-55.617	-70
747	inception_v3.gluon_in1k	12.640	87.360	40.427	59.573	23.83	299	0.875	bicubic	-80.830	-58.143	+83
748	tresnet_m.miil_in1k	12.613	87.387	41.907	58.093	31.39	224	0.875	bilinear	-82.007	-56.643	-69
749	resnet50.a1h_in1k	12.587	87.413	44.240	55.760	25.56	224	1.000	bicubic	-82.183	-54.230	-106
750	crossvit_9_dagger_240.in1k	12.560	87.440	41.720	58.280	8.78	240	0.875	bicubic	-80.330	-56.520	+140
751	efficientvit_b1.r256_in1k	12.547	87.453	42.120	57.880	9.10	256	1.000	bicubic	-81.543	-56.240	+5
752	resnetblur50.bt_in1k	12.493	87.507	44.160	55.840	25.56	288	0.950	bicubic	-81.967	-54.680	-47
753	resmlp_24_224.fb_in1k	12.493	87.507	43.413	56.587	30.02	224	0.875	bicubic	-81.537	-55.247	+12
754	convnext_femto_ols.d1_in1k	12.480	87.520	43.933	56.067	5.23	288	0.950	bicubic	-81.440	-54.667	+20
755	coat_lite_tiny.in1k	12.467	87.533	41.053	58.947	5.72	224	0.900	bicubic	-80.773	-57.207	+101
756	efficientnet_em.ra2_in1k	12.400	87.600	43.933	56.067	6.90	240	0.882	bicubic	-81.430	-54.887	+28
757	regnety_120.pycls_in1k	12.400	87.600	42.173	57.827	51.82	224	0.875	bicubic	-82.070	-56.597	-53
758	regnety_160.pycls_in1k	12.227	87.773	41.387	58.613	83.59	224	0.875	bicubic	-82.133	-57.473	-41
759	resnet50.a2_in1k	12.173	87.827	40.453	59.547	25.56	288	1.000	bicubic	-82.457	-58.207	-87
760	ecaresnet50t.a3_in1k	12.147	87.853	41.573	58.427	25.57	224	0.950	bicubic	-82.203	-57.097	-41
761	hrnet_w64.ms_in1k	12.013	87.987	40.827	59.173	128.06	224	0.875	bilinear	-82.017	-57.503	+2
762	cspdarknet53.ra_in1k	11.960	88.040	43.267	56.733	27.64	256	0.887	bilinear	-82.700	-55.583	-97
763	xcit_tiny_12_p16_224.fb_dist_in1k	11.933	88.067	40.133	59.867	6.72	224	1.000	bicubic	-81.477	-58.377	+74
764	resnet101s.gluon_in1k	11.893	88.107	40.947	59.053	44.67	224	0.875	bicubic	-82.827	-57.873	-108
765	resnet101.a3_in1k	11.867	88.133	40.840	59.160	44.55	224	0.950	bicubic	-82.163	-57.750	-4
766	gmixer_24_224.ra3_in1k	11.867	88.133	37.800	62.200	24.72	224	0.875	bicubic	-80.963	-60.080	+128
767	nf_resnet50.ra2_in1k	11.773	88.227	45.907	54.093	25.56	288	0.940	bicubic	-82.767	-52.723	-75
768	fbnetv3_b.ra2_in1k	11.760	88.240	44.400	55.600	8.60	256	0.950	bilinear	-82.210	-54.090	-1
769	dpn92.mx_in1k	11.640	88.360	40.160	59.840	37.67	224	0.875	bicubic	-82.650	-58.590	-41
770	botnet26t_256.c1_in1k	11.613	88.387	40.107	59.893	12.49	256	0.950	bicubic	-81.897	-58.213	+53
771	convnextv2_femto.fcmae_ft_in1k	11.600	88.400	40.800	59.200	5.23	288	0.950	bicubic	-82.590	-57.860	-33
772	dla102x2.in1k	11.560	88.440	41.293	58.707	41.28	224	0.875	bilinear	-82.410	-57.227	-3
773	xception41.tf_in1k	11.560	88.440	39.067	60.933	26.97	299	0.903	bicubic	-81.870	-59.153	+61
774	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	+176
775	efficientvit_b1.r224_in1k	11.493	88.507	40.200	59.800	9.10	224	0.950	bicubic	-82.017	-58.100	+47
776	levit_128.fb_dist_in1k	11.440	88.560	40.187	59.813	9.21	224	0.900	bicubic	-81.890	-58.333	+69
777	levit_conv_128.fb_dist_in1k	11.440	88.560	40.173	59.827	9.21	224	0.900	bicubic	-81.910	-58.197	+66
778	lambda_resnet26t.c1_in1k	11.387	88.613	40.187	59.813	10.96	256	0.940	bicubic	-82.443	-58.463	+8
779	seresnext26t_32x4d.bt_in1k	11.373	88.627	41.107	58.893	16.81	288	0.950	bicubic	-82.187	-57.383	+37
780	regnety_080.pycls_in1k	11.373	88.627	40.613	59.387	39.18	224	0.875	bicubic	-82.797	-57.987	-39
781	efficientnet_b2_pruned.in1k	11.333	88.667	42.040	57.960	8.31	260	0.890	bicubic	-82.807	-56.670	-31
782	resnet50.ra_in1k	11.333	88.667	41.013	58.987	25.56	288	0.950	bicubic	-82.877	-57.607	-48
783	tf_efficientnet_el.in1k	11.320	88.680	42.053	57.947	10.59	300	0.904	bicubic	-83.080	-56.657	-71
784	xcit_nano_12_p16_384.fb_dist_in1k	11.227	88.773	39.853	60.147	3.05	384	1.000	bicubic	-80.603	-58.167	+180
785	convnext_femto.d1_in1k	11.213	88.787	42.773	57.227	5.22	288	0.950	bicubic	-82.717	-55.747	-13
786	resnet152c.gluon_in1k	11.107	88.893	37.133	62.867	60.21	224	0.875	bicubic	-83.053	-61.457	-42
787	hrnet_w48.ms_in1k	11.093	88.907	40.307	59.693	77.47	224	0.875	bilinear	-82.827	-58.433	-13
788	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	11.093	88.907	39.933	60.067	6.36	384	1.000	bicubic	-80.947	-58.297	+160
789	halonet26t.a1h_in1k	11.093	88.907	38.800	61.200	12.48	256	0.950	bicubic	-82.907	-59.540	-22
790	mobilevitv2_100.cvnets_in1k	11.067	88.933	40.613	59.387	4.90	256	0.888	bicubic	-82.233	-57.667	+63
791	tf_efficientnet_b0.ns_jft_in1k	11.000	89.000	40.080	59.920	5.29	224	0.875	bicubic	-82.620	-58.560	+19
792	tf_efficientnetv2_b2.in1k	11.000	89.000	39.747	60.253	10.10	260	0.890	bicubic	-83.420	-58.833	-82
793	inception_v3.tf_adv_in1k	11.000	89.000	36.720	63.280	23.83	299	0.875	bicubic	-81.900	-61.420	+98
794	seresnext26d_32x4d.bt_in1k	10.987	89.013	41.347	58.653	16.81	288	0.950	bicubic	-82.453	-56.983	+39
795	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	+126
796	regnety_008_tv.tv2_in1k	10.840	89.160	40.533	59.467	6.43	224	0.965	bicubic	-82.850	-57.957	+6
797	resnet34d.ra2_in1k	10.827	89.173	38.653	61.347	21.82	288	0.950	bicubic	-82.813	-59.887	+8
798	dpn107.mx_in1k	10.827	89.173	38.307	61.693	86.92	224	0.875	bicubic	-83.513	-60.193	-77
799	inception_v3.tf_in1k	10.827	89.173	36.853	63.147	23.83	299	0.875	bicubic	-82.493	-61.527	+51
800	mobileone_s4.apple_in1k	10.787	89.213	38.480	61.520	14.95	224	0.900	bilinear	-82.953	-59.590	-2
801	xcit_nano_12_p8_224.fb_dist_in1k	10.773	89.227	38.120	61.880	3.05	224	1.000	bicubic	-81.307	-59.790	+144
802	densenetblur121d.ra_in1k	10.547	89.453	39.707	60.293	8.00	288	0.950	bicubic	-82.073	-58.553	+109
803	tf_efficientnet_b2.ap_in1k	10.533	89.467	40.133	59.867	9.11	260	0.890	bicubic	-83.977	-58.487	-105
804	dpn131.mx_in1k	10.533	89.467	36.787	63.213	79.25	224	0.875	bicubic	-83.517	-61.923	-44
805	rexnet_130.nav_in1k	10.413	89.587	41.547	58.453	7.56	224	0.875	bicubic	-83.487	-56.853	-26
806	repvit_m0_9.dist_450e_in1k	10.400	89.600	40.120	59.880	5.49	224	0.950	bicubic	-83.200	-58.380	+7
807	hrnet_w44.ms_in1k	10.307	89.693	39.493	60.507	67.06	224	0.875	bilinear	-83.243	-59.107	+11
808	xcit_nano_12_p8_224.fb_in1k	10.307	89.693	36.973	63.027	3.05	224	1.000	bicubic	-80.703	-60.797	+180
809	resnext50_32x4d.a3_in1k	10.267	89.733	38.200	61.800	25.03	224	0.950	bicubic	-83.393	-60.320	-4
810	lambda_resnet26rpt_256.c1_in1k	10.227	89.773	38.133	61.867	10.99	256	0.940	bicubic	-83.483	-60.387	-9
811	resnext101_32x8d.tv_in1k	10.173	89.827	37.747	62.253	88.79	224	0.875	bilinear	-83.647	-60.833	-24
812	regnetx_160.pycls_in1k	10.133	89.867	38.053	61.947	54.28	224	0.875	bicubic	-84.007	-60.467	-64
813	legacy_seresnext50_32x4d.in1k	10.093	89.907	39.213	60.787	27.56	224	0.875	bilinear	-83.657	-59.367	-20
814	resnetrs50.tf_in1k	10.053	89.947	37.573	62.427	35.69	224	0.910	bicubic	-84.267	-61.067	-90
815	dpn98.mx_in1k	10.013	89.987	36.173	63.827	61.57	224	0.875	bicubic	-84.147	-62.467	-70
816	inception_v3.tv_in1k	10.013	89.987	35.227	64.773	23.83	299	0.875	bicubic	-82.717	-62.743	+88
817	efficientnet_b1.ft_in1k	10.000	90.000	37.600	62.400	7.79	256	1.000	bicubic	-83.250	-60.690	+38
818	legacy_xception.tf_in1k	9.987	90.013	37.987	62.013	22.86	299	0.897	bicubic	-83.473	-60.543	+13
819	resnet33ts.ra2_in1k	9.947	90.053	39.840	60.160	19.68	288	1.000	bicubic	-84.153	-58.810	-64
820	regnety_064.pycls_in1k	9.933	90.067	39.093	60.907	30.58	224	0.875	bicubic	-84.207	-59.657	-71
821	resnet152.gluon_in1k	9.733	90.267	36.093	63.907	60.19	224	0.875	bicubic	-84.337	-62.367	-63
822	tf_efficientnet_lite3.in1k	9.680	90.320	39.013	60.987	8.20	300	0.904	bilinear	-84.520	-59.617	-87
823	tf_efficientnet_b2.aa_in1k	9.667	90.333	38.893	61.107	9.11	260	0.890	bicubic	-84.713	-59.717	-109
824	tf_efficientnet_cc_b1_8e.in1k	9.573	90.427	36.840	63.160	39.72	240	0.882	bicubic	-84.347	-61.420	-47
825	res2net101_26w_4s.in1k	9.507	90.493	35.093	64.907	45.21	224	0.875	bilinear	-84.213	-63.217	-25
826	resnet50.ram_in1k	9.480	90.520	35.507	64.493	25.56	288	0.950	bicubic	-85.040	-63.143	-129
827	legacy_seresnet152.in1k	9.333	90.667	37.373	62.627	66.82	224	0.875	bilinear	-84.047	-60.967	+13
828	cspresnet50.ra_in1k	9.293	90.707	39.613	60.387	21.62	256	0.887	bilinear	-84.447	-59.027	-32
829	repvit_m0_9.dist_300e_in1k	9.293	90.707	38.840	61.160	5.49	224	0.950	bicubic	-84.147	-59.870	+3
830	resnet34.a1_in1k	9.267	90.733	34.947	65.053	21.80	288	1.000	bicubic	-83.833	-63.363	+38
831	hrnet_w40.ms_in1k	9.240	90.760	36.920	63.080	57.56	224	0.875	bilinear	-84.260	-61.620	-6
832	resnet32ts.ra2_in1k	9.213	90.787	38.600	61.400	17.96	288	1.000	bicubic	-84.617	-60.040	-48
833	regnetx_120.pycls_in1k	9.213	90.787	37.200	62.800	46.11	224	0.875	bicubic	-85.017	-61.470	-100
834	crossvit_tiny_240.in1k	9.133	90.867	34.600	65.400	7.01	240	0.875	bicubic	-81.097	-62.990	+179
835	resnest26d.gluon_in1k	9.053	90.947	37.840	62.160	17.07	224	0.875	bilinear	-84.267	-60.520	+11
836	vit_tiny_patch16_224.augreg_in21k_ft_in1k	9.053	90.947	34.627	65.373	5.72	224	0.900	bicubic	-82.717	-63.413	+130
837	resnet50d.a3_in1k	9.040	90.960	37.307	62.693	25.58	224	0.950	bicubic	-84.440	-61.143	-8
838	gcresnext26ts.ch_in1k	8.987	91.013	36.920	63.080	10.48	288	1.000	bicubic	-84.173	-61.450	+26
839	vit_base_patch16_224.sam_in1k	8.987	91.013	36.133	63.867	86.57	224	0.900	bicubic	-85.163	-62.367	-93
840	regnety_040.pycls_in1k	8.933	91.067	37.067	62.933	20.65	224	0.875	bicubic	-84.947	-61.453	-59
841	resnext50_32x4d.gluon_in1k	8.933	91.067	36.293	63.707	25.03	224	0.875	bicubic	-84.877	-62.127	-53
842	rexnet_100.nav_in1k	8.893	91.107	36.413	63.587	4.80	224	0.875	bicubic	-84.127	-61.777	+33
843	mixnet_l.ft_in1k	8.893	91.107	36.240	63.760	7.33	224	0.875	bicubic	-84.537	-62.190	-8
844	efficientvit_m5.r224_in1k	8.893	91.107	34.587	65.413	12.47	224	0.875	bicubic	-83.567	-63.403	+82
845	bat_resnext26ts.ch_in1k	8.880	91.120	36.453	63.547	10.73	256	0.900	bicubic	-84.440	-62.167	+3
846	convit_tiny.fb_in1k	8.867	91.133	34.307	65.693	5.71	224	0.875	bicubic	-81.793	-63.423	+156
847	mobilenetv3_large_100.miil_in21k_ft_in1k	8.853	91.147	33.080	66.920	5.48	224	0.875	bilinear	-83.407	-64.540	+90
848	hrnet_w18.ms_aug_in1k	8.747	91.253	38.787	61.213	21.30	224	0.950	bilinear	-84.803	-59.913	-29
849	resnet50.bt_in1k	8.653	91.347	38.720	61.280	25.56	288	0.950	bicubic	-85.667	-59.810	-127
850	levit_conv_128s.fb_dist_in1k	8.653	91.347	33.093	66.907	7.78	224	0.900	bicubic	-83.307	-64.967	+107
851	dla169.in1k	8.640	91.360	36.000	64.000	53.39	224	0.875	bilinear	-84.710	-62.600	-10
852	levit_128s.fb_dist_in1k	8.640	91.360	33.067	66.933	7.78	224	0.900	bicubic	-83.320	-64.823	+103
853	mixer_b16_224.goog_in21k_ft_in1k	8.627	91.373	29.413	70.587	59.88	224	0.875	bicubic	-83.253	-68.627	+109
854	repvit_m1.dist_in1k	8.613	91.387	37.293	62.707	5.49	224	0.950	bicubic	-84.677	-61.147	0
855	hrnet_w30.ms_in1k	8.587	91.413	37.067	62.933	37.71	224	0.875	bilinear	-84.613	-61.423	+3
856	eca_resnext26ts.ch_in1k	8.560	91.440	36.827	63.173	10.30	288	1.000	bicubic	-84.500	-61.573	+17
857	ghostnetv2_160.in1k	8.560	91.440	36.627	63.373	12.39	224	0.875	bicubic	-84.430	-61.603	+23
858	legacy_seresnet101.in1k	8.533	91.467	35.960	64.040	49.33	224	0.875	bilinear	-84.777	-62.560	-8
859	convnext_atto_ols.a2_in1k	8.533	91.467	35.000	65.000	3.70	288	0.950	bicubic	-84.557	-63.470	+13
860	tf_efficientnet_b2.in1k	8.520	91.480	36.520	63.480	9.11	260	0.890	bicubic	-85.590	-61.930	-106
861	tf_efficientnet_b1.ap_in1k	8.453	91.547	35.240	64.760	7.79	240	0.882	bicubic	-85.227	-63.120	-58
862	repvgg_b2.rvgg_in1k	8.440	91.560	36.480	63.520	89.02	224	0.875	bilinear	-85.060	-62.090	-38
863	ese_vovnet19b_dw.ra_in1k	8.307	91.693	36.973	63.027	6.54	288	0.950	bicubic	-84.843	-61.277	+2
864	resmlp_12_224.fb_distilled_in1k	8.307	91.693	36.853	63.147	15.35	224	0.875	bicubic	-84.513	-61.287	+31
865	crossvit_9_240.in1k	8.280	91.720	34.107	65.893	8.55	240	0.875	bicubic	-82.350	-63.623	+139
866	dla102x.in1k	8.187	91.813	37.067	62.933	26.31	224	0.875	bilinear	-85.303	-61.433	-39
867	seresnext26ts.ch_in1k	8.147	91.853	36.093	63.907	10.39	288	1.000	bicubic	-84.813	-62.087	+17
868	hrnet_w32.ms_in1k	8.053	91.947	37.560	62.440	41.23	224	0.875	bilinear	-85.477	-60.890	-48
869	resnet101c.gluon_in1k	8.027	91.973	33.320	66.680	44.57	224	0.875	bicubic	-85.643	-65.100	-65
870	vit_base_patch32_224.augreg_in1k	7.987	92.013	30.453	69.547	88.22	224	0.900	bicubic	-83.203	-66.937	+113
871	cs3darknet_m.c2ns_in1k	7.960	92.040	36.507	63.493	9.31	288	0.950	bicubic	-85.390	-62.103	-29
872	poolformerv2_s12.sail_in1k	7.960	92.040	34.560	65.440	11.89	224	1.000	bicubic	-85.000	-63.800	+13
873	resnet50d.gluon_in1k	7.947	92.053	34.987	65.013	25.58	224	0.875	bicubic	-85.803	-63.403	-79
874	resnet26t.ra2_in1k	7.893	92.107	36.720	63.280	16.01	320	1.000	bicubic	-85.307	-61.690	-17
875	fastvit_t8.apple_dist_in1k	7.853	92.147	34.667	65.333	4.03	256	0.900	bicubic	-84.687	-63.503	+43
876	res2net50_26w_8s.in1k	7.853	92.147	33.707	66.293	48.40	224	0.875	bilinear	-85.537	-64.463	-37
877	dla60_res2next.in1k	7.840	92.160	34.960	65.040	17.03	224	0.875	bilinear	-85.350	-63.440	-18
878	repghostnet_200.in1k	7.800	92.200	37.200	62.800	9.80	224	0.875	bicubic	-85.700	-61.530	-52
879	mobilevitv2_075.cvnets_in1k	7.773	92.227	33.720	66.280	2.87	256	0.888	bicubic	-83.987	-64.060	+87
880	convnextv2_atto.fcmae_ft_in1k	7.773	92.227	32.907	67.093	3.71	288	0.950	bicubic	-85.197	-65.253	+4
881	mobilevit_xs.cvnets_in1k	7.733	92.267	32.520	67.480	2.32	256	0.900	bicubic	-83.087	-65.410	+114
882	tf_efficientnetv2_b1.in1k	7.720	92.280	34.613	65.387	8.14	240	0.882	bicubic	-86.230	-64.007	-111
883	deit_tiny_distilled_patch16_224.fb_in1k	7.693	92.307	33.507	66.493	5.91	224	0.900	bicubic	-83.017	-64.053	+116
884	regnety_032.pycls_in1k	7.680	92.320	34.280	65.720	19.44	224	0.875	bicubic	-85.730	-64.360	-48
885	efficientformerv2_s0.snap_dist_in1k	7.667	92.333	32.653	67.347	3.60	224	0.950	bicubic	-84.293	-65.407	+72
886	convnext_atto.d2_in1k	7.613	92.387	35.053	64.947	3.70	288	0.950	bicubic	-85.177	-63.097	+12
887	dla60_res2net.in1k	7.600	92.400	34.613	65.387	20.85	224	0.875	bilinear	-85.570	-63.817	-27
888	efficientnet_b1_pruned.in1k	7.480	92.520	34.480	65.520	6.33	240	0.882	bicubic	-85.300	-63.560	+11
889	regnetx_064.pycls_in1k	7.373	92.627	34.360	65.640	26.21	224	0.875	bicubic	-86.527	-64.280	-111
890	wide_resnet101_2.tv_in1k	7.360	92.640	34.147	65.853	126.89	224	0.875	bilinear	-86.380	-64.083	-93
891	densenet121.ra_in1k	7.333	92.667	35.480	64.520	7.98	288	0.950	bicubic	-85.187	-62.740	+28
892	deit_tiny_patch16_224.fb_in1k	7.293	92.707	30.680	69.320	5.72	224	0.900	bicubic	-82.367	-66.770	+134
893	regnetx_008.tv2_in1k	7.280	92.720	34.133	65.867	7.26	224	0.965	bicubic	-85.270	-64.047	+22
894	resnet50s.gluon_in1k	7.280	92.720	33.453	66.547	25.68	224	0.875	bicubic	-86.360	-65.007	-86
895	resnet101.gluon_in1k	7.267	92.733	32.773	67.227	44.55	224	0.875	bicubic	-86.483	-65.607	-102
896	resnet34.a2_in1k	7.267	92.733	31.813	68.187	21.80	288	1.000	bicubic	-85.453	-66.357	+10
897	edgenext_x_small.in1k	7.267	92.733	30.920	69.080	2.34	288	1.000	bicubic	-84.443	-66.680	+76
898	hardcorenas_e.miil_green_in1k	7.240	92.760	33.307	66.693	8.07	224	0.875	bilinear	-85.330	-64.793	+16
899	efficientnet_b0.ra_in1k	7.213	92.787	33.987	66.013	5.29	224	0.875	bicubic	-85.477	-64.083	+8
900	tf_mixnet_l.in1k	7.173	92.827	31.667	68.333	7.33	224	0.875	bicubic	-86.147	-66.363	-50
901	tf_efficientnet_b1.aa_in1k	7.160	92.840	33.027	66.973	7.79	240	0.882	bicubic	-86.330	-65.333	-73
902	tf_efficientnet_cc_b0_8e.in1k	7.133	92.867	31.787	68.213	24.01	224	0.875	bicubic	-85.707	-66.393	-10
903	convmixer_1024_20_ks9_p14.in1k	7.093	92.907	33.053	66.947	24.38	224	0.960	bicubic	-85.307	-65.217	+25
904	resmlp_12_224.fb_in1k	7.013	92.987	33.933	66.067	15.35	224	0.875	bicubic	-85.207	-64.217	+35
905	cs3darknet_focus_m.c2ns_in1k	6.933	93.067	34.587	65.413	9.30	288	0.950	bicubic	-86.037	-63.473	-24
906	fastvit_t8.apple_in1k	6.893	93.107	33.400	66.600	4.03	256	0.900	bicubic	-85.167	-64.530	+42
907	hardcorenas_f.miil_green_in1k	6.880	93.120	34.067	65.933	8.20	224	0.875	bilinear	-86.090	-64.323	-25
908	pit_ti_distilled_224.in1k	6.840	93.160	30.947	69.053	5.10	224	0.900	bicubic	-83.930	-66.663	+88
909	ghostnetv2_130.in1k	6.707	93.293	32.960	67.040	8.96	224	0.875	bicubic	-85.613	-65.300	+25
910	efficientnet_es.ra_in1k	6.693	93.307	33.973	66.027	5.44	224	0.875	bicubic	-86.477	-64.437	-49
911	selecsls60b.in1k	6.693	93.307	33.293	66.707	32.77	224	0.875	bicubic	-86.617	-64.997	-60
912	res2net50_26w_6s.in1k	6.693	93.307	31.653	68.347	37.05	224	0.875	bilinear	-86.707	-66.627	-73
913	poolformer_s12.sail_in1k	6.653	93.347	34.520	65.480	11.92	224	0.900	bicubic	-85.957	-63.660	-2
914	mixnet_m.ft_in1k	6.653	93.347	32.053	67.947	5.01	224	0.875	bicubic	-85.757	-66.097	+14
915	dpn68b.mx_in1k	6.640	93.360	32.907	67.093	12.61	224	0.875	bicubic	-86.150	-65.173	-18
916	tinynet_a.in1k	6.640	93.360	32.227	67.773	6.19	192	0.875	bicubic	-85.800	-65.853	+9
917	legacy_seresnext26_32x4d.in1k	6.627	93.373	33.240	66.760	16.79	224	0.875	bicubic	-86.013	-64.880	-8
918	tf_efficientnet_b1.in1k	6.627	93.373	32.640	67.360	7.79	240	0.882	bicubic	-86.473	-65.660	-49
919	mobileone_s3.apple_in1k	6.627	93.373	32.147	67.853	10.17	224	0.900	bilinear	-86.313	-66.043	-30
920	resnet50.a3_in1k	6.587	93.413	32.053	67.947	25.56	224	0.950	bicubic	-86.133	-65.957	-15
921	regnety_004.tv2_in1k	6.533	93.467	30.480	69.520	4.34	224	0.965	bicubic	-85.047	-67.410	+51
922	dla60x.in1k	6.493	93.507	34.080	65.920	17.35	224	0.875	bilinear	-86.587	-64.420	-50
923	repvgg_b1.rvgg_in1k	6.467	93.533	33.800	66.200	57.42	224	0.875	bilinear	-86.863	-64.570	-79
924	skresnet34.ra_in1k	6.467	93.533	31.573	68.427	22.28	224	0.875	bicubic	-85.913	-66.577	+7
925	repghostnet_150.in1k	6.453	93.547	32.307	67.693	6.58	224	0.875	bicubic	-85.917	-65.743	+6
926	hardcorenas_d.miil_green_in1k	6.453	93.547	32.187	67.813	7.50	224	0.875	bilinear	-85.947	-65.893	+4
927	resnet26d.bt_in1k	6.307	93.693	32.747	67.253	16.01	288	0.950	bicubic	-86.213	-65.463	-7
928	regnetx_080.pycls_in1k	6.293	93.707	32.373	67.627	39.57	224	0.875	bicubic	-87.587	-66.217	-145
929	resnet18.fb_swsl_ig1b_ft_in1k	6.253	93.747	31.600	68.400	11.69	224	0.875	bilinear	-84.447	-66.100	+72
930	legacy_seresnet50.in1k	6.200	93.800	32.680	67.320	28.09	224	0.875	bilinear	-86.760	-65.730	-44
931	pit_ti_224.in1k	6.120	93.880	30.240	69.760	4.85	224	0.900	bicubic	-83.820	-67.210	+89
932	resnet152.tv_in1k	6.067	93.933	32.080	67.920	60.19	224	0.875	bilinear	-87.253	-65.960	-85
933	wide_resnet50_2.tv_in1k	6.013	93.987	32.160	67.840	68.88	224	0.875	bilinear	-87.147	-66.280	-70
934	tf_efficientnet_cc_b0_4e.in1k	5.987	94.013	29.587	70.413	13.31	224	0.875	bicubic	-86.613	-68.493	-21
935	regnetx_040.pycls_in1k	5.947	94.053	31.493	68.507	22.12	224	0.875	bicubic	-87.613	-67.037	-120
936	seresnet50.a3_in1k	5.947	94.053	30.827	69.173	28.09	224	0.950	bicubic	-86.123	-67.213	+11
937	mixer_l16_224.goog_in21k_ft_in1k	5.880	94.120	18.547	81.453	208.20	224	0.875	bicubic	-81.270	-74.973	+120
938	tf_efficientnetv2_b0.in1k	5.867	94.133	30.787	69.213	7.14	224	0.875	bicubic	-87.243	-67.603	-71
939	dla102.in1k	5.827	94.173	32.760	67.240	33.27	224	0.875	bilinear	-87.223	-65.790	-65
940	selecsls60.in1k	5.680	94.320	32.520	67.480	30.67	224	0.875	bicubic	-87.330	-65.780	-62
941	regnety_016.pycls_in1k	5.667	94.333	30.480	69.520	11.20	224	0.875	bicubic	-87.373	-67.890	-66
942	res2next50.in1k	5.653	94.347	30.893	69.107	24.67	224	0.875	bilinear	-87.187	-67.287	-52
943	hardcorenas_c.miil_green_in1k	5.653	94.347	30.427	69.573	5.52	224	0.875	bilinear	-86.367	-67.413	+9
944	hrnet_w18_small_v2.gluon_in1k	5.520	94.480	31.853	68.147	15.60	224	0.875	bicubic	-87.250	-66.557	-44
945	hrnet_w18.ms_in1k	5.493	94.507	30.907	69.093	21.30	224	0.875	bilinear	-86.827	-67.163	-12
946	resnest14d.gluon_in1k	5.453	94.547	28.547	71.453	10.61	224	0.875	bilinear	-86.267	-69.323	+24
947	ghostnetv2_100.in1k	5.387	94.613	28.560	71.440	6.16	224	0.875	bicubic	-85.513	-69.140	+45
948	tf_efficientnet_em.in1k	5.360	94.640	31.080	68.920	6.90	240	0.882	bicubic	-87.580	-67.100	-61
949	tf_efficientnet_lite2.in1k	5.333	94.667	30.880	69.120	6.09	260	0.890	bicubic	-87.317	-67.350	-41
950	gernet_s.idstcv_in1k	5.320	94.680	30.147	69.853	8.17	224	0.875	bilinear	-86.810	-68.043	-7
951	resnext26ts.ra2_in1k	5.307	94.693	29.680	70.320	10.30	288	1.000	bicubic	-86.823	-68.350	-8
952	tf_efficientnet_b0.ap_in1k	5.307	94.693	28.840	71.160	5.29	224	0.875	bicubic	-86.893	-69.180	-12
953	efficientvit_m4.r224_in1k	5.307	94.693	28.013	71.987	8.80	224	0.875	bicubic	-85.273	-69.517	+55
954	repvgg_b1g4.rvgg_in1k	5.240	94.760	30.760	69.240	39.97	224	0.875	bilinear	-87.760	-67.670	-75
955	resnet34.bt_in1k	5.213	94.787	29.440	70.560	21.80	288	0.950	bicubic	-87.197	-68.430	-29
956	xcit_nano_12_p16_224.fb_dist_in1k	5.200	94.800	26.493	73.507	3.05	224	1.000	bicubic	-84.500	-70.607	+68
957	res2net50_26w_4s.in1k	5.173	94.827	29.360	70.640	25.70	224	0.875	bilinear	-87.317	-68.670	-35
958	efficientvit_m3.r224_in1k	5.160	94.840	27.400	72.600	6.90	224	0.875	bicubic	-84.700	-70.140	+64
959	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	+74
960	mobilenetv3_large_100.ra_in1k	5.067	94.933	28.200	71.800	5.48	224	0.875	bicubic	-86.283	-69.510	+17
961	tf_efficientnet_b0.aa_in1k	5.053	94.947	28.760	71.240	5.29	224	0.875	bicubic	-87.187	-69.240	-23
962	tf_mixnet_m.in1k	5.053	94.947	28.187	71.813	5.01	224	0.875	bicubic	-87.247	-69.703	-27
963	res2net50_14w_8s.in1k	5.040	94.960	28.733	71.267	25.06	224	0.875	bilinear	-87.730	-69.427	-62
964	regnetx_004_tv.tv2_in1k	5.000	95.000	27.560	72.440	5.50	224	0.965	bicubic	-85.640	-70.040	+39
965	repghostnet_130.in1k	4.987	95.013	29.653	70.347	5.48	224	0.875	bicubic	-86.903	-68.277	-5
966	mixnet_s.ft_in1k	4.947	95.053	28.573	71.427	4.13	224	0.875	bicubic	-86.873	-69.127	-2
967	hardcorenas_b.miil_green_in1k	4.947	95.053	28.040	71.960	5.18	224	0.875	bilinear	-86.813	-69.820	+2
968	mobilenetv3_rw.rmsp_in1k	4.933	95.067	29.853	70.147	5.48	224	0.875	bicubic	-86.277	-67.807	+13
969	hardcorenas_a.miil_green_in1k	4.893	95.107	28.093	71.907	5.26	224	0.875	bilinear	-86.457	-69.757	+7
970	regnetx_032.pycls_in1k	4.880	95.120	30.227	69.773	15.30	224	0.875	bicubic	-88.230	-68.163	-104
971	resnet50c.gluon_in1k	4.880	95.120	28.080	71.920	25.58	224	0.875	bicubic	-88.150	-70.320	-95
972	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	+73
973	resnext50_32x4d.tv_in1k	4.827	95.173	30.267	69.733	25.03	224	0.875	bilinear	-87.923	-68.003	-71
974	densenet161.tv_in1k	4.733	95.267	29.560	70.440	28.68	224	0.875	bicubic	-87.747	-68.740	-51
975	resnet101.tv_in1k	4.693	95.307	29.347	70.653	44.55	224	0.875	bilinear	-88.117	-68.903	-79
976	selecsls42b.in1k	4.680	95.320	28.573	71.427	32.46	224	0.875	bicubic	-87.610	-69.537	-40
977	tf_efficientnet_lite1.in1k	4.600	95.400	28.347	71.653	5.42	240	0.882	bicubic	-88.030	-69.713	-67
978	mobilenetv2_120d.ra_in1k	4.547	95.453	29.320	70.680	5.83	224	0.875	bicubic	-87.853	-68.740	-48
979	mobileone_s2.apple_in1k	4.520	95.480	29.133	70.867	7.88	224	0.900	bilinear	-88.300	-69.137	-85
980	tf_efficientnet_b0.in1k	4.427	95.573	26.680	73.320	5.29	224	0.875	bicubic	-87.653	-71.480	-34
981	pvt_v2_b0.in1k	4.347	95.653	25.960	74.040	3.67	224	0.900	bicubic	-84.433	-70.900	+61
982	vit_base_patch32_224.sam_in1k	4.333	95.667	24.387	75.613	88.22	224	0.900	bicubic	-85.407	-72.613	+41
983	resnet50.am_in1k	4.267	95.733	28.627	71.373	25.56	224	0.875	bicubic	-89.703	-70.003	-216
984	edgenext_xx_small.in1k	4.267	95.733	24.093	75.907	1.33	288	1.000	bicubic	-84.623	-72.887	+57
985	tinynet_b.in1k	4.200	95.800	26.787	73.213	3.73	188	0.875	bicubic	-86.720	-70.873	+5
986	efficientnet_es_pruned.in1k	4.200	95.800	26.453	73.547	5.44	224	0.875	bicubic	-86.970	-71.287	-1
987	repghostnet_111.in1k	4.147	95.853	26.187	73.813	4.54	224	0.875	bicubic	-86.563	-71.283	+13
988	densenet201.tv_in1k	4.133	95.867	27.547	72.453	20.01	224	0.875	bicubic	-88.607	-70.683	-85
989	resnet50.gluon_in1k	4.120	95.880	26.960	73.040	25.56	224	0.875	bicubic	-88.420	-71.080	-72
990	fbnetc_100.rmsp_in1k	4.107	95.893	25.907	74.093	5.57	224	0.875	bilinear	-86.623	-71.303	+8
991	semnasnet_100.rmsp_in1k	3.947	96.053	26.933	73.067	3.89	224	0.875	bicubic	-87.363	-70.627	-14
992	mobilevitv2_050.cvnets_in1k	3.947	96.053	23.947	76.053	1.37	256	0.888	bicubic	-84.233	-73.043	+59
993	resnet26.bt_in1k	3.933	96.067	28.213	71.787	16.00	288	0.950	bicubic	-88.057	-69.807	-42
994	repvgg_a2.rvgg_in1k	3.933	96.067	27.227	72.773	28.21	224	0.875	bilinear	-88.007	-70.873	-35
995	dpn68.mx_in1k	3.893	96.107	25.693	74.307	12.61	224	0.875	bicubic	-88.097	-72.527	-42
996	tf_mixnet_s.in1k	3.880	96.120	25.267	74.733	4.13	224	0.875	bicubic	-87.640	-72.353	-23
997	semnasnet_075.rmsp_in1k	3.867	96.133	27.080	72.920	2.91	224	0.875	bicubic	-86.203	-70.360	+21
998	tf_efficientnet_es.in1k	3.827	96.173	26.133	73.867	5.44	224	0.875	bicubic	-88.143	-71.747	-45
999	mobilevit_xxs.cvnets_in1k	3.827	96.173	21.733	78.267	1.27	256	0.900	bicubic	-83.333	-74.367	+58
1000	resnet18d.ra2_in1k	3.813	96.187	26.013	73.987	11.71	288	0.950	bicubic	-86.467	-71.547	+12
1001	regnety_008.pycls_in1k	3.787	96.213	27.160	72.840	6.26	224	0.875	bicubic	-87.943	-71.020	-32
1002	dla60.in1k	3.747	96.253	27.947	72.053	22.04	224	0.875	bilinear	-88.453	-70.153	-62
1003	resnet18.fb_ssl_yfcc100m_ft_in1k	3.747	96.253	25.373	74.627	11.69	224	0.875	bilinear	-86.463	-72.177	+11
1004	mobilenetv2_140.ra_in1k	3.720	96.280	26.720	73.280	6.11	224	0.875	bicubic	-88.120	-71.140	-41
1005	densenet169.tv_in1k	3.707	96.293	25.587	74.413	14.15	224	0.875	bicubic	-88.233	-72.553	-46
1006	resnet18.a1_in1k	3.707	96.293	22.960	77.040	11.69	288	1.000	bicubic	-85.973	-74.140	+19
1007	regnetx_016.pycls_in1k	3.613	96.387	26.320	73.680	9.19	224	0.875	bicubic	-88.567	-71.880	-66
1008	efficientvit_m2.r224_in1k	3.613	96.387	21.853	78.147	4.19	224	0.875	bicubic	-84.857	-75.047	+40
1009	spnasnet_100.rmsp_in1k	3.573	96.427	24.253	75.747	4.42	224	0.875	bilinear	-86.757	-72.937	+1
1010	res2net50_48w_2s.in1k	3.560	96.440	26.613	73.387	25.29	224	0.875	bilinear	-88.990	-71.467	-94
1011	tf_mobilenetv3_large_100.in1k	3.560	96.440	25.120	74.880	5.48	224	0.875	bilinear	-87.670	-72.540	-31
1012	repghostnet_100.in1k	3.520	96.480	24.520	75.480	4.07	224	0.875	bicubic	-86.770	-72.960	-1
1013	regnety_006.pycls_in1k	3.453	96.547	24.920	75.080	6.06	224	0.875	bicubic	-87.937	-73.080	-38
1014	ghostnet_100.in1k	3.427	96.573	25.120	74.880	5.18	224	0.875	bicubic	-86.753	-72.170	+1
1015	resnet34.a3_in1k	3.373	96.627	23.387	76.613	21.80	224	0.950	bicubic	-86.567	-73.793	+6
1016	legacy_seresnet34.in1k	3.347	96.653	23.813	76.187	21.96	224	0.875	bilinear	-87.553	-73.767	-23
1017	resnet18.a2_in1k	3.267	96.733	22.373	77.627	11.69	288	1.000	bicubic	-86.303	-74.587	+13
1018	efficientnet_lite0.ra_in1k	3.240	96.760	25.947	74.053	4.65	224	0.875	bicubic	-87.880	-71.693	-34
1019	dla34.in1k	3.240	96.760	23.547	76.453	15.74	224	0.875	bilinear	-87.520	-74.103	-21
1020	efficientvit_b0.r224_in1k	3.200	96.800	19.533	80.467	3.41	224	0.950	bicubic	-84.740	-76.597	+31
1021	mobilenetv2_110d.ra_in1k	3.187	96.813	24.573	75.427	4.52	224	0.875	bicubic	-87.773	-72.967	-31
1022	regnety_004.pycls_in1k	3.187	96.813	22.680	77.320	4.34	224	0.875	bicubic	-87.303	-74.850	-14
1023	tinynet_c.in1k	3.120	96.880	21.520	78.480	2.46	184	0.875	bicubic	-84.660	-74.850	+29
1024	mnasnet_100.rmsp_in1k	3.107	96.893	24.227	75.773	4.38	224	0.875	bicubic	-87.393	-73.243	-17
1025	repghostnet_080.in1k	3.080	96.920	21.973	78.027	3.28	224	0.875	bicubic	-85.760	-74.727	+16
1026	tf_efficientnet_lite0.in1k	3.040	96.960	22.893	77.107	4.65	224	0.875	bicubic	-88.010	-74.687	-39
1027	skresnet18.ra_in1k	3.027	96.973	22.813	77.187	11.96	224	0.875	bicubic	-86.633	-74.417	0
1028	mobileone_s1.apple_in1k	2.947	97.053	24.947	75.053	4.83	224	0.900	bilinear	-88.333	-72.873	-49
1029	vgg19_bn.tv_in1k	2.947	97.053	23.440	76.560	143.68	224	0.875	bilinear	-87.133	-74.140	-12
1030	tinynet_d.in1k	2.853	97.147	17.787	82.213	2.34	152	0.875	bicubic	-81.867	-77.383	+40
1031	tf_mobilenetv3_large_075.in1k	2.840	97.160	21.560	78.440	3.99	224	0.875	bilinear	-86.800	-75.630	-3
1032	efficientvit_m1.r224_in1k	2.827	97.173	19.600	80.400	2.98	224	0.875	bicubic	-83.963	-76.430	+27
1033	resnet14t.c3_in1k	2.760	97.240	20.213	79.787	10.08	224	0.950	bicubic	-86.230	-76.517	+3
1034	hrnet_w18_small_v2.ms_in1k	2.720	97.280	23.720	76.280	15.60	224	0.875	bilinear	-88.480	-74.180	-52
1035	regnetx_008.pycls_in1k	2.667	97.333	22.453	77.547	7.26	224	0.875	bicubic	-88.383	-75.267	-49
1036	vgg16_bn.tv_in1k	2.653	97.347	23.800	76.200	138.37	224	0.875	bilinear	-87.437	-73.570	-21
1037	resnet34.gluon_in1k	2.653	97.347	21.680	78.320	21.80	224	0.875	bicubic	-88.327	-75.950	-47
1038	lcnet_100.ra2_in1k	2.627	97.373	20.760	79.240	2.95	224	0.875	bicubic	-86.123	-76.220	+6
1039	vgg16.tv_in1k	2.627	97.373	20.360	79.640	138.36	224	0.875	bilinear	-85.933	-76.440	+7
1040	repvgg_b0.rvgg_in1k	2.560	97.440	24.000	76.000	15.82	224	0.875	bilinear	-88.830	-73.700	-66
1041	densenet121.tv_in1k	2.547	97.453	22.653	77.347	7.98	224	0.875	bicubic	-88.343	-75.057	-47
1042	regnetx_006.pycls_in1k	2.533	97.467	20.627	79.373	6.20	224	0.875	bicubic	-87.817	-76.803	-33
1043	hrnet_w18_small.gluon_in1k	2.507	97.493	20.653	79.347	13.19	224	0.875	bicubic	-86.963	-76.407	-12
1044	legacy_seresnet18.in1k	2.480	97.520	20.067	79.933	11.78	224	0.875	bicubic	-86.410	-76.633	-5
1045	lcnet_075.ra2_in1k	2.320	97.680	17.173	82.827	2.36	224	0.875	bicubic	-83.650	-78.507	+21
1046	mobilenetv3_small_075.lamb_in1k	2.307	97.693	15.893	84.107	2.04	224	0.875	bicubic	-80.723	-78.207	+30
1047	efficientvit_m0.r224_in1k	2.293	97.707	16.493	83.507	2.35	224	0.875	bicubic	-80.057	-77.937	+30
1048	repghostnet_058.in1k	2.253	97.747	18.320	81.680	2.55	224	0.875	bicubic	-84.287	-77.580	+13
1049	repvgg_a1.rvgg_in1k	2.240	97.760	21.333	78.667	14.09	224	0.875	bilinear	-88.360	-76.317	-45
1050	mobileone_s0.apple_in1k	2.240	97.760	17.467	82.533	5.29	224	0.875	bilinear	-85.990	-78.933	0
1051	resnet18.a3_in1k	2.227	97.773	17.773	82.227	11.69	224	0.950	bicubic	-84.223	-78.107	+11
1052	mobilenetv2_100.ra_in1k	2.147	97.853	19.933	80.067	3.50	224	0.875	bicubic	-87.453	-77.217	-23
1053	regnety_002.pycls_in1k	2.120	97.880	18.920	81.080	3.16	224	0.875	bicubic	-85.250	-77.690	+2
1054	vgg19.tv_in1k	2.107	97.893	20.760	79.240	143.67	224	0.875	bilinear	-86.943	-76.110	-19
1055	vgg13_bn.tv_in1k	2.093	97.907	20.333	79.667	133.05	224	0.875	bilinear	-86.657	-76.387	-12
1056	tf_mobilenetv3_small_100.in1k	2.027	97.973	15.827	84.173	2.54	224	0.875	bilinear	-83.163	-79.943	+12
1057	mobilenetv3_small_100.lamb_in1k	1.987	98.013	17.093	82.907	2.54	224	0.875	bicubic	-83.233	-78.557	+10
1058	repghostnet_050.in1k	1.987	98.013	16.507	83.493	2.31	224	0.875	bicubic	-83.073	-78.693	+11
1059	tf_mobilenetv3_small_075.in1k	1.987	98.013	14.840	85.160	2.04	224	0.875	bilinear	-81.513	-80.000	+16
1060	regnetx_004.pycls_in1k	1.920	98.080	19.147	80.853	5.16	224	0.875	bicubic	-87.010	-77.973	-22
1061	resnet34.tv_in1k	1.853	98.147	20.053	79.947	21.80	224	0.875	bilinear	-88.097	-77.287	-42
1062	tinynet_e.in1k	1.853	98.147	14.013	85.987	2.04	106	0.875	bicubic	-77.067	-78.527	+18
1063	vgg13.tv_in1k	1.840	98.160	18.027	81.973	133.05	224	0.875	bilinear	-85.200	-78.303	-5
1064	mobilenetv3_small_050.lamb_in1k	1.813	98.187	12.533	87.467	1.59	224	0.875	bicubic	-75.207	-78.767	+17
1065	lcnet_050.ra2_in1k	1.787	98.213	13.867	86.133	1.88	224	0.875	bicubic	-80.013	-79.843	+13
1066	mnasnet_small.lamb_in1k	1.773	98.227	15.080	84.920	2.03	224	0.875	bicubic	-82.647	-80.110	+5
1067	dla46x_c.in1k	1.747	98.253	16.387	83.613	1.07	224	0.875	bilinear	-82.483	-78.883	+5
1068	vgg11_bn.tv_in1k	1.720	98.280	18.093	81.907	132.87	224	0.875	bilinear	-85.780	-78.727	-15
1069	dla60x_c.in1k	1.613	98.387	18.013	81.987	1.32	224	0.875	bilinear	-84.677	-78.147	-6
1070	tf_mobilenetv3_large_minimal_100.in1k	1.613	98.387	17.120	82.880	3.92	224	0.875	bilinear	-87.337	-79.740	-34
1071	mobilenetv2_050.lamb_in1k	1.613	98.387	14.200	85.800	1.97	224	0.875	bicubic	-82.297	-80.520	+3
1072	resnet10t.c3_in1k	1.600	98.400	16.053	83.947	5.44	224	0.950	bicubic	-84.620	-79.687	-8
1073	vgg11.tv_in1k	1.560	98.440	16.187	83.813	132.86	224	0.875	bilinear	-85.020	-80.093	-13
1074	resnet18.gluon_in1k	1.547	98.453	16.640	83.360	11.69	224	0.875	bicubic	-86.823	-80.030	-26
1075	hrnet_w18_small.ms_in1k	1.533	98.467	18.093	81.907	13.19	224	0.875	bilinear	-87.517	-79.027	-41
1076	dla46_c.in1k	1.493	98.507	15.227	84.773	1.30	224	0.875	bilinear	-82.117	-79.723	-2
1077	repvgg_a0.rvgg_in1k	1.467	98.533	17.587	82.413	9.11	224	0.875	bilinear	-87.813	-79.303	-45
1078	regnetx_002.pycls_in1k	1.373	98.627	15.053	84.947	2.68	224	0.875	bicubic	-84.767	-80.917	-13
1079	resnet18.tv_in1k	1.160	98.840	16.227	83.773	11.69	224	0.875	bilinear	-86.220	-80.063	-25
1080	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
1081	resnet50.tv_in1k	0.000	100.000	14.453	85.547	25.56	224	0.875	bilinear	-91.880	-82.807	-120