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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	crop_pct	interpolation
2	eva02_large_patch14_448.mim_in22k_ft_in22k_in1k	98.160	1.840	99.880	0.120	305.08	448	1.000	bicubic
3	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	98.030	1.970	99.890	0.110	305.08	448	1.000	bicubic
4	eva_giant_patch14_560.m30m_ft_in22k_in1k	98.000	2.000	99.860	0.140	1,014.45	560	1.000	bicubic
5	eva_giant_patch14_336.m30m_ft_in22k_in1k	97.990	2.010	99.900	0.100	1,013.01	336	1.000	bicubic
6	convnextv2_huge.fcmae_ft_in22k_in1k_384	97.870	2.130	99.910	0.090	660.29	384	1.000	bicubic
7	eva_large_patch14_336.in22k_ft_in22k_in1k	97.860	2.140	99.880	0.120	304.53	336	1.000	bicubic
8	eva02_large_patch14_448.mim_in22k_ft_in1k	97.860	2.140	99.800	0.200	305.08	448	1.000	bicubic
9	eva_giant_patch14_336.clip_ft_in1k	97.860	2.140	99.790	0.210	1,013.01	336	1.000	bicubic
10	eva02_large_patch14_448.mim_m38m_ft_in1k	97.830	2.170	99.820	0.180	305.08	448	1.000	bicubic
11	convnextv2_huge.fcmae_ft_in22k_in1k_512	97.810	2.190	99.860	0.140	660.29	512	1.000	bicubic
12	eva_large_patch14_336.in22k_ft_in1k	97.810	2.190	99.840	0.160	304.53	336	1.000	bicubic
13	beit_large_patch16_384.in22k_ft_in22k_in1k	97.810	2.190	99.790	0.210	305.00	384	1.000	bicubic
14	tf_efficientnet_l2.ns_jft_in1k	97.780	2.220	99.890	0.110	480.31	800	0.960	bicubic
15	regnety_1280.swag_ft_in1k	97.780	2.220	99.860	0.140	644.81	384	1.000	bicubic
16	beit_large_patch16_512.in22k_ft_in22k_in1k	97.780	2.220	99.820	0.180	305.67	512	1.000	bicubic
17	maxvit_base_tf_512.in21k_ft_in1k	97.760	2.240	99.860	0.140	119.88	512	1.000	bicubic
18	maxvit_xlarge_tf_512.in21k_ft_in1k	97.760	2.240	99.820	0.180	475.77	512	1.000	bicubic
19	tf_efficientnet_l2.ns_jft_in1k_475	97.750	2.250	99.820	0.180	480.31	475	0.936	bicubic
20	convnext_xxlarge.clip_laion2b_soup_ft_in1k	97.750	2.250	99.810	0.190	846.47	256	1.000	bicubic
21	beitv2_large_patch16_224.in1k_ft_in22k_in1k	97.750	2.250	99.790	0.210	304.43	224	0.950	bicubic
22	maxvit_xlarge_tf_384.in21k_ft_in1k	97.740	2.260	99.850	0.150	475.32	384	1.000	bicubic
23	eva02_base_patch14_448.mim_in22k_ft_in1k	97.720	2.280	99.760	0.240	87.12	448	1.000	bicubic
24	maxvit_large_tf_512.in21k_ft_in1k	97.670	2.330	99.730	0.270	212.33	512	1.000	bicubic
25	caformer_b36.sail_in22k_ft_in1k_384	97.660	2.340	99.860	0.140	98.75	384	1.000	bicubic
26	maxvit_large_tf_384.in21k_ft_in1k	97.660	2.340	99.820	0.180	212.03	384	1.000	bicubic
27	convnextv2_large.fcmae_ft_in22k_in1k_384	97.630	2.370	99.800	0.200	197.96	384	1.000	bicubic
28	eva_large_patch14_196.in22k_ft_in22k_in1k	97.620	2.380	99.810	0.190	304.14	196	1.000	bicubic
29	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	97.610	2.390	99.820	0.180	87.12	448	1.000	bicubic
30	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	97.610	2.390	99.780	0.220	632.46	336	1.000	bicubic
31	vit_large_patch14_clip_224.openai_ft_in12k_in1k	97.610	2.390	99.730	0.270	304.20	224	1.000	bicubic
32	vit_large_patch14_clip_336.openai_ft_in12k_in1k	97.600	2.400	99.730	0.270	304.53	336	1.000	bicubic
33	convnext_xlarge.fb_in22k_ft_in1k_384	97.590	2.410	99.770	0.230	350.20	384	1.000	bicubic
34	deit3_large_patch16_384.fb_in22k_ft_in1k	97.580	2.420	99.710	0.290	304.76	384	1.000	bicubic
35	eva_giant_patch14_224.clip_ft_in1k	97.570	2.430	99.710	0.290	1,012.56	224	0.900	bicubic
36	maxvit_base_tf_384.in21k_ft_in1k	97.560	2.440	99.760	0.240	119.65	384	1.000	bicubic
37	eva_large_patch14_196.in22k_ft_in1k	97.520	2.480	99.790	0.210	304.14	196	1.000	bicubic
38	convformer_b36.sail_in22k_ft_in1k_384	97.490	2.510	99.760	0.240	99.88	384	1.000	bicubic
39	beit_large_patch16_224.in22k_ft_in22k_in1k	97.480	2.520	99.690	0.310	304.43	224	0.900	bicubic
40	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	97.470	2.530	99.760	0.240	200.13	384	1.000	bicubic
41	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	97.460	2.540	99.780	0.220	304.53	336	1.000	bicubic
42	convnext_xlarge.fb_in22k_ft_in1k	97.450	2.550	99.820	0.180	350.20	288	1.000	bicubic
43	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	97.450	2.550	99.760	0.240	116.09	384	1.000	bicubic
44	vit_large_patch14_clip_224.openai_ft_in1k	97.440	2.560	99.680	0.320	304.20	224	1.000	bicubic
45	vit_large_patch16_384.augreg_in21k_ft_in1k	97.410	2.590	99.780	0.220	304.72	384	1.000	bicubic
46	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	97.390	2.610	99.740	0.260	304.20	224	1.000	bicubic
47	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	97.390	2.610	99.730	0.270	200.13	384	1.000	bicubic
48	regnety_1280.swag_lc_in1k	97.390	2.610	99.730	0.270	644.81	224	0.965	bicubic
49	regnety_320.swag_ft_in1k	97.380	2.620	99.760	0.240	145.05	384	1.000	bicubic
50	convnextv2_base.fcmae_ft_in22k_in1k_384	97.380	2.620	99.720	0.280	88.72	384	1.000	bicubic
51	caformer_m36.sail_in22k_ft_in1k_384	97.370	2.630	99.790	0.210	56.20	384	1.000	bicubic
52	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	97.370	2.630	99.700	0.300	73.88	384	1.000	bicubic
53	convformer_m36.sail_in22k_ft_in1k_384	97.370	2.630	99.680	0.320	57.05	384	1.000	bicubic
54	caformer_b36.sail_in22k_ft_in1k	97.360	2.640	99.830	0.170	98.75	224	1.000	bicubic
55	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	97.360	2.640	99.800	0.200	632.05	224	1.000	bicubic
56	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	97.340	2.660	99.690	0.310	116.14	384	1.000	bicubic
57	tf_efficientnetv2_xl.in21k_ft_in1k	97.330	2.670	99.600	0.400	208.12	512	1.000	bicubic
58	beit_base_patch16_384.in22k_ft_in22k_in1k	97.320	2.680	99.720	0.280	86.74	384	1.000	bicubic
59	tf_efficientnetv2_l.in21k_ft_in1k	97.320	2.680	99.640	0.360	118.52	480	1.000	bicubic
60	convnextv2_large.fcmae_ft_in22k_in1k	97.310	2.690	99.760	0.240	197.96	288	1.000	bicubic
61	beitv2_large_patch16_224.in1k_ft_in1k	97.310	2.690	99.740	0.260	304.43	224	0.950	bicubic
62	deit3_large_patch16_224.fb_in22k_ft_in1k	97.310	2.690	99.680	0.320	304.37	224	1.000	bicubic
63	convnext_large.fb_in22k_ft_in1k_384	97.300	2.700	99.760	0.240	197.77	384	1.000	bicubic
64	volo_d5_512.sail_in1k	97.300	2.700	99.760	0.240	296.09	512	1.150	bicubic
65	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	97.290	2.710	99.780	0.220	93.59	320	1.000	bicubic
66	caformer_s36.sail_in22k_ft_in1k_384	97.290	2.710	99.720	0.280	39.30	384	1.000	bicubic
67	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	97.280	2.720	99.780	0.220	196.74	384	1.000	bicubic
68	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	97.270	2.730	99.790	0.210	87.92	384	1.000	bicubic
69	convformer_b36.sail_in22k_ft_in1k	97.260	2.740	99.750	0.250	99.88	224	1.000	bicubic
70	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	97.260	2.740	99.740	0.260	200.13	320	1.000	bicubic
71	convnext_base.fb_in22k_ft_in1k_384	97.260	2.740	99.710	0.290	88.59	384	1.000	bicubic
72	convnextv2_huge.fcmae_ft_in1k	97.250	2.750	99.720	0.280	660.29	288	1.000	bicubic
73	deit3_huge_patch14_224.fb_in22k_ft_in1k	97.250	2.750	99.720	0.280	632.13	224	1.000	bicubic
74	volo_d5_448.sail_in1k	97.240	2.760	99.740	0.260	295.91	448	1.150	bicubic
75	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	97.240	2.760	99.710	0.290	196.74	256	0.900	bicubic
76	deit3_base_patch16_384.fb_in22k_ft_in1k	97.240	2.760	99.670	0.330	86.88	384	1.000	bicubic
77	vit_large_patch14_clip_336.laion2b_ft_in1k	97.230	2.770	99.720	0.280	304.53	336	1.000	bicubic
78	convnext_large.fb_in22k_ft_in1k	97.220	2.780	99.730	0.270	197.77	288	1.000	bicubic
79	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	97.220	2.780	99.700	0.300	86.86	384	1.000	bicubic
80	convnext_base.fb_in22k_ft_in1k	97.200	2.800	99.760	0.240	88.59	288	1.000	bicubic
81	convnextv2_base.fcmae_ft_in22k_in1k	97.200	2.800	99.760	0.240	88.72	288	1.000	bicubic
82	tf_efficientnet_b7.ns_jft_in1k	97.190	2.810	99.700	0.300	66.35	600	0.949	bicubic
83	maxvit_small_tf_512.in1k	97.190	2.810	99.620	0.380	69.13	512	1.000	bicubic
84	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	97.180	2.820	99.650	0.350	73.88	224	0.950	bicubic
85	regnety_160.swag_ft_in1k	97.170	2.830	99.780	0.220	83.59	384	1.000	bicubic
86	seresnextaa101d_32x8d.sw_in12k_ft_in1k	97.170	2.830	99.740	0.260	93.59	288	1.000	bicubic
87	swin_large_patch4_window12_384.ms_in22k_ft_in1k	97.170	2.830	99.680	0.320	196.74	384	1.000	bicubic
88	maxvit_base_tf_512.in1k	97.170	2.830	99.640	0.360	119.88	512	1.000	bicubic
89	caformer_b36.sail_in1k_384	97.160	2.840	99.610	0.390	98.75	384	1.000	bicubic
90	swin_base_patch4_window12_384.ms_in22k_ft_in1k	97.130	2.870	99.780	0.220	87.90	384	1.000	bicubic
91	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	97.130	2.870	99.720	0.280	200.13	256	1.000	bicubic
92	vit_base_patch16_clip_384.openai_ft_in12k_in1k	97.120	2.880	99.640	0.360	86.86	384	0.950	bicubic
93	maxvit_base_tf_384.in1k	97.120	2.880	99.570	0.430	119.65	384	1.000	bicubic
94	convnext_small.fb_in22k_ft_in1k_384	97.110	2.890	99.640	0.360	50.22	384	1.000	bicubic
95	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	97.110	2.890	99.600	0.400	116.14	224	0.950	bicubic
96	vit_huge_patch14_clip_224.laion2b_ft_in1k	97.100	2.900	99.690	0.310	632.05	224	1.000	bicubic
97	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	97.090	2.910	99.680	0.320	116.09	224	0.950	bicubic
98	vit_base_patch8_224.augreg_in21k_ft_in1k	97.090	2.910	99.610	0.390	86.58	224	0.900	bicubic
99	volo_d4_448.sail_in1k	97.070	2.930	99.750	0.250	193.41	448	1.150	bicubic
100	convformer_m36.sail_in22k_ft_in1k	97.070	2.930	99.630	0.370	57.05	224	1.000	bicubic
101	convformer_s36.sail_in22k_ft_in1k_384	97.060	2.940	99.710	0.290	40.01	384	1.000	bicubic
102	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	97.050	2.950	99.660	0.340	87.92	256	0.900	bicubic
103	maxvit_large_tf_512.in1k	97.050	2.950	99.590	0.410	212.33	512	1.000	bicubic
104	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	97.040	2.960	99.670	0.330	88.59	384	1.000	bicubic
105	caformer_m36.sail_in1k_384	97.030	2.970	99.710	0.290	56.20	384	1.000	bicubic
106	volo_d3_448.sail_in1k	97.030	2.970	99.680	0.320	86.63	448	1.000	bicubic
107	dm_nfnet_f5.dm_in1k	97.030	2.970	99.670	0.330	377.21	544	0.954	bicubic
108	caformer_m36.sail_in22k_ft_in1k	97.020	2.980	99.730	0.270	56.20	224	1.000	bicubic
109	tf_efficientnet_b6.ns_jft_in1k	97.020	2.980	99.710	0.290	43.04	528	0.942	bicubic
110	vit_base_patch16_384.augreg_in21k_ft_in1k	97.020	2.980	99.710	0.290	86.86	384	1.000	bicubic
111	vit_large_patch14_clip_224.laion2b_ft_in1k	97.020	2.980	99.670	0.330	304.20	224	1.000	bicubic
112	tf_efficientnetv2_m.in21k_ft_in1k	97.000	3.000	99.630	0.370	54.14	480	1.000	bicubic
113	convnext_small.in12k_ft_in1k_384	96.990	3.010	99.660	0.340	50.22	384	1.000	bicubic
114	coatnet_2_rw_224.sw_in12k_ft_in1k	96.990	3.010	99.650	0.350	73.87	224	0.950	bicubic
115	dm_nfnet_f6.dm_in1k	96.970	3.030	99.760	0.240	438.36	576	0.956	bicubic
116	maxvit_tiny_tf_512.in1k	96.970	3.030	99.670	0.330	31.05	512	1.000	bicubic
117	vit_large_r50_s32_384.augreg_in21k_ft_in1k	96.950	3.050	99.710	0.290	329.09	384	1.000	bicubic
118	vit_base_patch8_224.augreg2_in21k_ft_in1k	96.950	3.050	99.640	0.360	86.58	224	0.900	bicubic
119	dm_nfnet_f4.dm_in1k	96.950	3.050	99.630	0.370	316.07	512	0.951	bicubic
120	swin_large_patch4_window7_224.ms_in22k_ft_in1k	96.940	3.060	99.670	0.330	196.53	224	0.900	bicubic
121	xcit_large_24_p16_384.fb_dist_in1k	96.940	3.060	99.510	0.490	189.10	384	1.000	bicubic
122	maxvit_large_tf_384.in1k	96.930	3.070	99.570	0.430	212.03	384	1.000	bicubic
123	beitv2_base_patch16_224.in1k_ft_in22k_in1k	96.910	3.090	99.730	0.270	86.53	224	0.900	bicubic
124	vit_base_patch16_clip_384.laion2b_ft_in1k	96.900	3.100	99.670	0.330	86.86	384	1.000	bicubic
125	caformer_s36.sail_in1k_384	96.880	3.120	99.670	0.330	39.30	384	1.000	bicubic
126	volo_d5_224.sail_in1k	96.880	3.120	99.670	0.330	295.46	224	0.960	bicubic
127	resnetv2_152x4_bit.goog_in21k_ft_in1k	96.880	3.120	99.660	0.340	936.53	480	1.000	bilinear
128	cait_m48_448.fb_dist_in1k	96.880	3.120	99.620	0.380	356.46	448	1.000	bicubic
129	convformer_b36.sail_in1k_384	96.870	3.130	99.650	0.350	99.88	384	1.000	bicubic
130	tf_efficientnet_b5.ns_jft_in1k	96.870	3.130	99.640	0.360	30.39	456	0.934	bicubic
131	convnext_base.clip_laiona_augreg_ft_in1k_384	96.860	3.140	99.690	0.310	88.59	384	1.000	bicubic
132	deit3_base_patch16_224.fb_in22k_ft_in1k	96.860	3.140	99.620	0.380	86.59	224	1.000	bicubic
133	deit3_large_patch16_384.fb_in1k	96.850	3.150	99.620	0.380	304.76	384	1.000	bicubic
134	cait_m36_384.fb_dist_in1k	96.840	3.160	99.660	0.340	271.22	384	1.000	bicubic
135	convnextv2_large.fcmae_ft_in1k	96.830	3.170	99.760	0.240	197.96	288	1.000	bicubic
136	regnety_160.sw_in12k_ft_in1k	96.820	3.180	99.690	0.310	83.59	288	1.000	bicubic
137	caformer_s36.sail_in22k_ft_in1k	96.820	3.180	99.620	0.380	39.30	224	1.000	bicubic
138	regnety_160.lion_in12k_ft_in1k	96.810	3.190	99.710	0.290	83.59	288	1.000	bicubic
139	vit_base_patch16_clip_384.openai_ft_in1k	96.810	3.190	99.660	0.340	86.86	384	1.000	bicubic
140	xcit_small_24_p8_384.fb_dist_in1k	96.810	3.190	99.630	0.370	47.63	384	1.000	bicubic
141	convnext_small.fb_in22k_ft_in1k	96.810	3.190	99.510	0.490	50.22	288	1.000	bicubic
142	convformer_s18.sail_in22k_ft_in1k_384	96.790	3.210	99.710	0.290	26.77	384	1.000	bicubic
143	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	96.790	3.210	99.680	0.320	88.59	256	1.000	bicubic
144	regnety_320.swag_lc_in1k	96.780	3.220	99.730	0.270	145.05	224	0.965	bicubic
145	volo_d4_224.sail_in1k	96.780	3.220	99.670	0.330	192.96	224	0.960	bicubic
146	convformer_m36.sail_in1k_384	96.780	3.220	99.620	0.380	57.05	384	1.000	bicubic
147	flexivit_large.1200ep_in1k	96.780	3.220	99.610	0.390	304.36	240	0.950	bicubic
148	xcit_medium_24_p8_384.fb_dist_in1k	96.770	3.230	99.620	0.380	84.32	384	1.000	bicubic
149	efficientnet_b5.sw_in12k_ft_in1k	96.770	3.230	99.600	0.400	30.39	448	1.000	bicubic
150	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	96.770	3.230	99.530	0.470	468.53	224	0.875	bilinear
151	xcit_large_24_p8_384.fb_dist_in1k	96.760	3.240	99.560	0.440	188.93	384	1.000	bicubic
152	maxvit_small_tf_384.in1k	96.750	3.250	99.600	0.400	69.02	384	1.000	bicubic
153	beitv2_base_patch16_224.in1k_ft_in1k	96.750	3.250	99.540	0.460	86.53	224	0.900	bicubic
154	tf_efficientnetv2_l.in1k	96.740	3.260	99.550	0.450	118.52	480	1.000	bicubic
155	flexivit_large.600ep_in1k	96.730	3.270	99.560	0.440	304.36	240	0.950	bicubic
156	tf_efficientnet_b4.ns_jft_in1k	96.710	3.290	99.640	0.360	19.34	380	0.922	bicubic
157	volo_d2_384.sail_in1k	96.710	3.290	99.600	0.400	58.87	384	1.000	bicubic
158	vit_large_patch16_224.augreg_in21k_ft_in1k	96.700	3.300	99.650	0.350	304.33	224	0.900	bicubic
159	flexivit_large.300ep_in1k	96.700	3.300	99.580	0.420	304.36	240	0.950	bicubic
160	convformer_s36.sail_in1k_384	96.700	3.300	99.570	0.430	40.01	384	1.000	bicubic
161	tf_efficientnet_b8.ra_in1k	96.700	3.300	99.530	0.470	87.41	672	0.954	bicubic
162	eva02_small_patch14_336.mim_in22k_ft_in1k	96.690	3.310	99.610	0.390	22.13	336	1.000	bicubic
163	xcit_medium_24_p16_384.fb_dist_in1k	96.690	3.310	99.600	0.400	84.40	384	1.000	bicubic
164	swin_base_patch4_window7_224.ms_in22k_ft_in1k	96.680	3.320	99.670	0.330	87.77	224	0.900	bicubic
165	deit3_small_patch16_384.fb_in22k_ft_in1k	96.670	3.330	99.640	0.360	22.21	384	1.000	bicubic
166	beit_base_patch16_224.in22k_ft_in22k_in1k	96.660	3.340	99.660	0.340	86.53	224	0.900	bicubic
167	cait_s36_384.fb_dist_in1k	96.630	3.370	99.610	0.390	68.37	384	1.000	bicubic
168	xcit_large_24_p8_224.fb_dist_in1k	96.630	3.370	99.460	0.540	188.93	224	1.000	bicubic
169	dm_nfnet_f3.dm_in1k	96.620	3.380	99.630	0.370	254.92	416	0.940	bicubic
170	convnextv2_tiny.fcmae_ft_in22k_in1k_384	96.620	3.380	99.580	0.420	28.64	384	1.000	bicubic
171	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	96.620	3.380	99.560	0.440	86.57	224	0.950	bicubic
172	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	96.610	3.390	99.480	0.520	88.30	384	1.000	bicubic
173	regnetz_e8.ra3_in1k	96.600	3.400	99.620	0.380	57.70	320	1.000	bicubic
174	convnext_small.in12k_ft_in1k	96.600	3.400	99.580	0.420	50.22	288	1.000	bicubic
175	maxvit_tiny_tf_384.in1k	96.590	3.410	99.560	0.440	30.98	384	1.000	bicubic
176	deit3_huge_patch14_224.fb_in1k	96.580	3.420	99.520	0.480	632.13	224	0.900	bicubic
177	cait_s24_384.fb_dist_in1k	96.570	3.430	99.550	0.450	47.06	384	1.000	bicubic
178	tf_efficientnet_b7.ra_in1k	96.570	3.430	99.520	0.480	66.35	600	0.949	bicubic
179	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	96.570	3.430	99.520	0.480	88.34	448	1.000	bicubic
180	coat_lite_medium_384.in1k	96.570	3.430	99.470	0.530	44.57	384	1.000	bicubic
181	regnety_120.sw_in12k_ft_in1k	96.560	3.440	99.680	0.320	51.82	288	1.000	bicubic
182	convnext_base.clip_laion2b_augreg_ft_in1k	96.560	3.440	99.650	0.350	88.59	256	1.000	bicubic
183	convnext_tiny.in12k_ft_in1k_384	96.560	3.440	99.630	0.370	28.59	384	1.000	bicubic
184	xcit_small_24_p8_224.fb_dist_in1k	96.550	3.450	99.560	0.440	47.63	224	1.000	bicubic
185	tf_efficientnet_b8.ap_in1k	96.550	3.450	99.540	0.460	87.41	672	0.954	bicubic
186	hrnet_w48_ssld.paddle_in1k	96.540	3.460	99.640	0.360	77.47	288	1.000	bilinear
187	caformer_s18.sail_in22k_ft_in1k_384	96.530	3.470	99.580	0.420	26.34	384	1.000	bicubic
188	regnety_2560.seer_ft_in1k	96.530	3.470	99.520	0.480	1,282.60	384	1.000	bicubic
189	xcit_medium_24_p8_224.fb_dist_in1k	96.530	3.470	99.510	0.490	84.32	224	1.000	bicubic
190	resnetv2_152x2_bit.goog_in21k_ft_in1k	96.520	3.480	99.590	0.410	236.34	448	1.000	bilinear
191	dm_nfnet_f2.dm_in1k	96.520	3.480	99.570	0.430	193.78	352	0.920	bicubic
192	deit_base_distilled_patch16_384.fb_in1k	96.510	3.490	99.590	0.410	87.63	384	1.000	bicubic
193	vit_base_patch16_224.augreg2_in21k_ft_in1k	96.510	3.490	99.560	0.440	86.57	224	0.900	bicubic
194	vit_base_patch16_clip_224.openai_ft_in12k_in1k	96.510	3.490	99.550	0.450	86.57	224	0.950	bicubic
195	convformer_s36.sail_in22k_ft_in1k	96.500	3.500	99.630	0.370	40.01	224	1.000	bicubic
196	caformer_b36.sail_in1k	96.500	3.500	99.460	0.540	98.75	224	1.000	bicubic
197	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	96.490	3.510	99.620	0.380	39.03	384	0.950	bicubic
198	tf_efficientnetv2_m.in1k	96.480	3.520	99.610	0.390	54.14	480	1.000	bicubic
199	volo_d1_384.sail_in1k	96.480	3.520	99.550	0.450	26.78	384	1.000	bicubic
200	convnextv2_base.fcmae_ft_in1k	96.480	3.520	99.520	0.480	88.72	288	1.000	bicubic
201	tf_efficientnetv2_s.in21k_ft_in1k	96.470	3.530	99.570	0.430	21.46	384	1.000	bicubic
202	xcit_small_12_p8_384.fb_dist_in1k	96.470	3.530	99.490	0.510	26.21	384	1.000	bicubic
203	regnety_160.swag_lc_in1k	96.450	3.550	99.750	0.250	83.59	224	0.965	bicubic
204	vit_base_r50_s16_384.orig_in21k_ft_in1k	96.450	3.550	99.660	0.340	98.95	384	1.000	bicubic
205	eca_nfnet_l2.ra3_in1k	96.450	3.550	99.610	0.390	56.72	384	1.000	bicubic
206	ecaresnet269d.ra2_in1k	96.450	3.550	99.610	0.390	102.09	352	1.000	bicubic
207	seresnextaa101d_32x8d.ah_in1k	96.440	3.560	99.510	0.490	93.59	288	1.000	bicubic
208	volo_d3_224.sail_in1k	96.430	3.570	99.630	0.370	86.33	224	0.960	bicubic
209	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	96.430	3.570	99.540	0.460	194.03	224	0.875	bilinear
210	volo_d2_224.sail_in1k	96.420	3.580	99.500	0.500	58.68	224	0.960	bicubic
211	vit_base_patch32_clip_384.openai_ft_in12k_in1k	96.420	3.580	99.460	0.540	88.30	384	0.950	bicubic
212	caformer_s18.sail_in1k_384	96.410	3.590	99.560	0.440	26.34	384	1.000	bicubic
213	caformer_m36.sail_in1k	96.410	3.590	99.530	0.470	56.20	224	1.000	bicubic
214	resnetrs420.tf_in1k	96.400	3.600	99.540	0.460	191.89	416	1.000	bicubic
215	convnext_large.fb_in1k	96.400	3.600	99.530	0.470	197.77	288	1.000	bicubic
216	mvitv2_large.fb_in1k	96.400	3.600	99.450	0.550	217.99	224	0.900	bicubic
217	swin_base_patch4_window12_384.ms_in1k	96.380	3.620	99.420	0.580	87.90	384	1.000	bicubic
218	tf_efficientnet_b6.ap_in1k	96.370	3.630	99.550	0.450	43.04	528	0.942	bicubic
219	seresnext101d_32x8d.ah_in1k	96.360	3.640	99.470	0.530	93.59	288	1.000	bicubic
220	resnetaa101d.sw_in12k_ft_in1k	96.360	3.640	99.440	0.560	44.57	288	1.000	bicubic
221	tf_efficientnet_b7.ap_in1k	96.350	3.650	99.590	0.410	66.35	600	0.949	bicubic
222	resnetrs200.tf_in1k	96.350	3.650	99.550	0.450	93.21	320	1.000	bicubic
223	resmlp_big_24_224.fb_in22k_ft_in1k	96.350	3.650	99.520	0.480	129.14	224	0.875	bicubic
224	xcit_small_24_p16_384.fb_dist_in1k	96.340	3.660	99.580	0.420	47.67	384	1.000	bicubic
225	convnextv2_tiny.fcmae_ft_in22k_in1k	96.340	3.660	99.550	0.450	28.64	288	1.000	bicubic
226	xcit_small_12_p16_384.fb_dist_in1k	96.340	3.660	99.490	0.510	26.25	384	1.000	bicubic
227	maxvit_base_tf_224.in1k	96.340	3.660	99.370	0.630	119.47	224	0.950	bicubic
228	maxvit_large_tf_224.in1k	96.330	3.670	99.410	0.590	211.79	224	0.950	bicubic
229	vit_base_patch16_clip_224.laion2b_ft_in1k	96.320	3.680	99.540	0.460	86.57	224	1.000	bicubic
230	regnetz_040_h.ra3_in1k	96.320	3.680	99.520	0.480	28.94	320	1.000	bicubic
231	xcit_large_24_p16_224.fb_dist_in1k	96.320	3.680	99.500	0.500	189.10	224	1.000	bicubic
232	vit_base_patch16_clip_224.openai_ft_in1k	96.310	3.690	99.560	0.440	86.57	224	0.900	bicubic
233	seresnet152d.ra2_in1k	96.310	3.690	99.510	0.490	66.84	320	1.000	bicubic
234	convnext_base.fb_in1k	96.310	3.690	99.500	0.500	88.59	288	1.000	bicubic
235	regnety_1280.seer_ft_in1k	96.310	3.690	99.410	0.590	644.81	384	1.000	bicubic
236	vit_base_patch16_224.augreg_in21k_ft_in1k	96.300	3.700	99.560	0.440	86.57	224	0.900	bicubic
237	dm_nfnet_f1.dm_in1k	96.300	3.700	99.530	0.470	132.63	320	0.910	bicubic
238	tf_efficientnet_b6.aa_in1k	96.300	3.700	99.530	0.470	43.04	528	0.942	bicubic
239	resnetv2_50x3_bit.goog_in21k_ft_in1k	96.270	3.730	99.630	0.370	217.32	448	1.000	bilinear
240	efficientnetv2_rw_m.agc_in1k	96.270	3.730	99.560	0.440	53.24	416	1.000	bicubic
241	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	96.270	3.730	99.500	0.500	194.03	224	0.875	bilinear
242	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	96.250	3.750	99.590	0.410	88.79	224	0.875	bilinear
243	resnetv2_101x3_bit.goog_in21k_ft_in1k	96.250	3.750	99.580	0.420	387.93	448	1.000	bilinear
244	convformer_s18.sail_in1k_384	96.250	3.750	99.540	0.460	26.77	384	1.000	bicubic
245	resnetrs350.tf_in1k	96.250	3.750	99.470	0.530	163.96	384	1.000	bicubic
246	xcit_medium_24_p16_224.fb_dist_in1k	96.250	3.750	99.410	0.590	84.40	224	1.000	bicubic
247	convnext_tiny.in12k_ft_in1k	96.240	3.760	99.640	0.360	28.59	288	1.000	bicubic
248	davit_base.msft_in1k	96.240	3.760	99.410	0.590	87.95	224	0.950	bicubic
249	convformer_b36.sail_in1k	96.240	3.760	99.290	0.710	99.88	224	1.000	bicubic
250	xcit_tiny_24_p8_384.fb_dist_in1k	96.230	3.770	99.440	0.560	12.11	384	1.000	bicubic
251	deit3_base_patch16_384.fb_in1k	96.230	3.770	99.400	0.600	86.88	384	1.000	bicubic
252	maxxvit_rmlp_small_rw_256.sw_in1k	96.210	3.790	99.480	0.520	66.01	256	0.950	bicubic
253	coatnet_rmlp_2_rw_224.sw_in1k	96.210	3.790	99.280	0.720	73.88	224	0.950	bicubic
254	vit_base_patch16_384.orig_in21k_ft_in1k	96.200	3.800	99.530	0.470	86.86	384	1.000	bicubic
255	edgenext_base.in21k_ft_in1k	96.200	3.800	99.470	0.530	18.51	320	1.000	bicubic
256	maxvit_small_tf_224.in1k	96.200	3.800	99.460	0.540	68.93	224	0.950	bicubic
257	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	96.190	3.810	99.500	0.500	236.34	384	1.000	bicubic
258	deit3_large_patch16_224.fb_in1k	96.190	3.810	99.300	0.700	304.37	224	0.900	bicubic
259	vit_large_r50_s32_224.augreg_in21k_ft_in1k	96.180	3.820	99.530	0.470	328.99	224	0.900	bicubic
260	regnetz_040.ra3_in1k	96.180	3.820	99.510	0.490	27.12	320	1.000	bicubic
261	convnext_tiny.fb_in22k_ft_in1k_384	96.170	3.830	99.500	0.500	28.59	384	1.000	bicubic
262	swinv2_base_window16_256.ms_in1k	96.170	3.830	99.390	0.610	87.92	256	0.900	bicubic
263	crossvit_18_dagger_408.in1k	96.150	3.850	99.470	0.530	44.61	408	1.000	bicubic
264	regnetz_d8_evos.ch_in1k	96.140	3.860	99.490	0.510	23.46	320	1.000	bicubic
265	deit3_medium_patch16_224.fb_in22k_ft_in1k	96.140	3.860	99.480	0.520	38.85	224	1.000	bicubic
266	seresnext101_32x8d.ah_in1k	96.140	3.860	99.360	0.640	93.57	288	1.000	bicubic
267	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	96.130	3.870	99.340	0.660	41.72	224	0.950	bicubic
268	resnest269e.in1k	96.110	3.890	99.520	0.480	110.93	416	0.928	bicubic
269	resnet200d.ra2_in1k	96.110	3.890	99.460	0.540	64.69	320	1.000	bicubic
270	flexivit_base.1200ep_in1k	96.110	3.890	99.410	0.590	86.59	240	0.950	bicubic
271	convformer_s36.sail_in1k	96.110	3.890	99.310	0.690	40.01	224	1.000	bicubic
272	convformer_s18.sail_in22k_ft_in1k	96.100	3.900	99.490	0.510	26.77	224	1.000	bicubic
273	tf_efficientnet_b3.ns_jft_in1k	96.100	3.900	99.480	0.520	12.23	300	0.904	bicubic
274	rexnetr_300.sw_in12k_ft_in1k	96.090	3.910	99.540	0.460	34.81	288	1.000	bicubic
275	tf_efficientnet_b5.ap_in1k	96.090	3.910	99.540	0.460	30.39	456	0.934	bicubic
276	xcit_large_24_p8_224.fb_in1k	96.090	3.910	99.140	0.860	188.93	224	1.000	bicubic
277	caformer_s36.sail_in1k	96.080	3.920	99.510	0.490	39.30	224	1.000	bicubic
278	gcvit_base.in1k	96.080	3.920	99.390	0.610	90.32	224	0.875	bicubic
279	convformer_m36.sail_in1k	96.080	3.920	99.250	0.750	57.05	224	1.000	bicubic
280	resnest200e.in1k	96.070	3.930	99.480	0.520	70.20	320	0.909	bicubic
281	tf_efficientnet_b7.aa_in1k	96.070	3.930	99.450	0.550	66.35	600	0.949	bicubic
282	swinv2_small_window16_256.ms_in1k	96.070	3.930	99.340	0.660	49.73	256	0.900	bicubic
283	regnety_640.seer_ft_in1k	96.060	3.940	99.500	0.500	281.38	384	1.000	bicubic
284	resnetrs270.tf_in1k	96.060	3.940	99.480	0.520	129.86	352	1.000	bicubic
285	swin_small_patch4_window7_224.ms_in22k_ft_in1k	96.060	3.940	99.480	0.520	49.61	224	0.900	bicubic
286	swinv2_base_window8_256.ms_in1k	96.060	3.940	99.410	0.590	87.92	256	0.900	bicubic
287	vit_small_r26_s32_384.augreg_in21k_ft_in1k	96.050	3.950	99.550	0.450	36.47	384	1.000	bicubic
288	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	96.040	3.960	99.540	0.460	44.18	224	0.875	bilinear
289	maxvit_rmlp_tiny_rw_256.sw_in1k	96.040	3.960	99.410	0.590	29.15	256	0.950	bicubic
290	swin_s3_base_224.ms_in1k	96.040	3.960	99.350	0.650	71.13	224	0.900	bicubic
291	vit_base_patch16_224_miil.in21k_ft_in1k	96.040	3.960	99.350	0.650	86.54	224	0.875	bilinear
292	davit_small.msft_in1k	96.030	3.970	99.400	0.600	49.75	224	0.950	bicubic
293	volo_d1_224.sail_in1k	96.030	3.970	99.390	0.610	26.63	224	0.960	bicubic
294	caformer_s18.sail_in22k_ft_in1k	96.010	3.990	99.550	0.450	26.34	224	1.000	bicubic
295	regnetz_d8.ra3_in1k	96.010	3.990	99.520	0.480	23.37	320	1.000	bicubic
296	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	96.000	4.000	99.500	0.500	38.86	256	0.950	bicubic
297	cs3se_edgenet_x.c2ns_in1k	96.000	4.000	99.430	0.570	50.72	320	1.000	bicubic
298	cait_xs24_384.fb_dist_in1k	96.000	4.000	99.420	0.580	26.67	384	1.000	bicubic
299	coat_lite_medium.in1k	96.000	4.000	99.350	0.650	44.57	224	0.900	bicubic
300	vit_small_patch16_384.augreg_in21k_ft_in1k	95.980	4.020	99.590	0.410	22.20	384	1.000	bicubic
301	mvitv2_base.fb_in1k	95.980	4.020	99.330	0.670	51.47	224	0.900	bicubic
302	tf_efficientnet_b5.ra_in1k	95.970	4.030	99.450	0.550	30.39	456	0.934	bicubic
303	convnext_small.fb_in1k	95.970	4.030	99.430	0.570	50.22	288	1.000	bicubic
304	xcit_small_12_p8_224.fb_dist_in1k	95.960	4.040	99.430	0.570	26.21	224	1.000	bicubic
305	flexivit_base.600ep_in1k	95.960	4.040	99.420	0.580	86.59	240	0.950	bicubic
306	resnetrs152.tf_in1k	95.960	4.040	99.380	0.620	86.62	320	1.000	bicubic
307	flexivit_base.300ep_in1k	95.960	4.040	99.370	0.630	86.59	240	0.950	bicubic
308	maxvit_rmlp_small_rw_224.sw_in1k	95.960	4.040	99.350	0.650	64.90	224	0.900	bicubic
309	pvt_v2_b5.in1k	95.940	4.060	99.390	0.610	81.96	224	0.900	bicubic
310	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	95.940	4.060	99.380	0.620	88.79	224	0.875	bilinear
311	eca_nfnet_l1.ra2_in1k	95.930	4.070	99.490	0.510	41.41	320	1.000	bicubic
312	pvt_v2_b4.in1k	95.920	4.080	99.360	0.640	62.56	224	0.900	bicubic
313	gcvit_small.in1k	95.910	4.090	99.280	0.720	51.09	224	0.875	bicubic
314	vit_base_patch32_384.augreg_in21k_ft_in1k	95.900	4.100	99.440	0.560	88.30	384	1.000	bicubic
315	focalnet_base_srf.ms_in1k	95.900	4.100	99.340	0.660	88.15	224	0.900	bicubic
316	swin_base_patch4_window7_224.ms_in1k	95.900	4.100	99.310	0.690	87.77	224	0.900	bicubic
317	xcit_small_24_p8_224.fb_in1k	95.900	4.100	99.180	0.820	47.63	224	1.000	bicubic
318	mvitv2_small.fb_in1k	95.890	4.110	99.360	0.640	34.87	224	0.900	bicubic
319	tf_efficientnet_b5.aa_in1k	95.880	4.120	99.350	0.650	30.39	456	0.934	bicubic
320	regnety_160.deit_in1k	95.870	4.130	99.560	0.440	83.59	288	1.000	bicubic
321	sequencer2d_l.in1k	95.870	4.130	99.470	0.530	54.30	224	0.875	bicubic
322	regnety_080.ra3_in1k	95.870	4.130	99.440	0.560	39.18	288	1.000	bicubic
323	resmlp_big_24_224.fb_distilled_in1k	95.870	4.130	99.440	0.560	129.14	224	0.875	bicubic
324	regnetz_d32.ra3_in1k	95.870	4.130	99.430	0.570	27.58	320	0.950	bicubic
325	resnet152d.ra2_in1k	95.870	4.130	99.430	0.570	60.21	320	1.000	bicubic
326	tf_efficientnet_b5.in1k	95.870	4.130	99.390	0.610	30.39	456	0.934	bicubic
327	xcit_medium_24_p8_224.fb_in1k	95.860	4.140	99.080	0.920	84.32	224	1.000	bicubic
328	deit3_small_patch16_224.fb_in22k_ft_in1k	95.830	4.170	99.390	0.610	22.06	224	1.000	bicubic
329	convnextv2_tiny.fcmae_ft_in1k	95.830	4.170	99.340	0.660	28.64	288	1.000	bicubic
330	crossvit_15_dagger_408.in1k	95.830	4.170	99.320	0.680	28.50	408	1.000	bicubic
331	swin_s3_small_224.ms_in1k	95.830	4.170	99.200	0.800	49.74	224	0.900	bicubic
332	focalnet_base_lrf.ms_in1k	95.830	4.170	99.180	0.820	88.75	224	0.900	bicubic
333	resnext101_64x4d.tv_in1k	95.820	4.180	99.320	0.680	83.46	224	0.875	bilinear
334	tresnet_v2_l.miil_in21k_ft_in1k	95.820	4.180	99.290	0.710	46.17	224	0.875	bilinear
335	pit_b_distilled_224.in1k	95.820	4.180	99.210	0.790	74.79	224	0.900	bicubic
336	maxvit_tiny_tf_224.in1k	95.810	4.190	99.260	0.740	30.92	224	0.950	bicubic
337	regnety_320.seer_ft_in1k	95.800	4.200	99.390	0.610	145.05	384	1.000	bicubic
338	edgenext_base.usi_in1k	95.790	4.210	99.570	0.430	18.51	320	1.000	bicubic
339	xcit_small_24_p16_224.fb_dist_in1k	95.790	4.210	99.350	0.650	47.67	224	1.000	bicubic
340	convnextv2_nano.fcmae_ft_in22k_in1k_384	95.790	4.210	99.300	0.700	15.62	384	1.000	bicubic
341	regnety_064.ra3_in1k	95.790	4.210	99.290	0.710	30.58	288	1.000	bicubic
342	regnetv_064.ra3_in1k	95.780	4.220	99.420	0.580	30.58	288	1.000	bicubic
343	deit3_base_patch16_224.fb_in1k	95.770	4.230	99.270	0.730	86.59	224	0.900	bicubic
344	efficientformerv2_l.snap_dist_in1k	95.760	4.240	99.370	0.630	26.32	224	0.950	bicubic
345	resnet152.a1h_in1k	95.750	4.250	99.430	0.570	60.19	288	1.000	bicubic
346	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	95.750	4.250	99.430	0.570	236.34	224	0.875	bicubic
347	deit_base_distilled_patch16_224.fb_in1k	95.750	4.250	99.280	0.720	87.34	224	0.900	bicubic
348	resnet101d.ra2_in1k	95.740	4.260	99.440	0.560	44.57	320	1.000	bicubic
349	focalnet_small_lrf.ms_in1k	95.740	4.260	99.210	0.790	50.34	224	0.900	bicubic
350	maxvit_tiny_rw_224.sw_in1k	95.740	4.260	99.160	0.840	29.06	224	0.950	bicubic
351	regnetv_040.ra3_in1k	95.730	4.270	99.380	0.620	20.64	288	1.000	bicubic
352	swinv2_small_window8_256.ms_in1k	95.730	4.270	99.360	0.640	49.73	256	0.900	bicubic
353	xcit_small_12_p16_224.fb_dist_in1k	95.730	4.270	99.300	0.700	26.25	224	1.000	bicubic
354	twins_pcpvt_large.in1k	95.720	4.280	99.490	0.510	60.99	224	0.900	bicubic
355	tf_efficientnetv2_s.in1k	95.710	4.290	99.400	0.600	21.46	384	1.000	bicubic
356	efficientnetv2_rw_s.ra2_in1k	95.710	4.290	99.380	0.620	23.94	384	1.000	bicubic
357	hrnet_w18_ssld.paddle_in1k	95.710	4.290	99.340	0.660	21.30	288	1.000	bilinear
358	swin_small_patch4_window7_224.ms_in1k	95.710	4.290	99.290	0.710	49.61	224	0.900	bicubic
359	swinv2_cr_small_ns_224.sw_in1k	95.710	4.290	99.290	0.710	49.70	224	0.900	bicubic
360	twins_svt_large.in1k	95.700	4.300	99.370	0.630	99.27	224	0.900	bicubic
361	dm_nfnet_f0.dm_in1k	95.690	4.310	99.350	0.650	71.49	256	0.900	bicubic
362	xception65.ra3_in1k	95.690	4.310	99.320	0.680	39.92	299	0.940	bicubic
363	caformer_s18.sail_in1k	95.680	4.320	99.290	0.710	26.34	224	1.000	bicubic
364	cait_s24_224.fb_dist_in1k	95.660	4.340	99.390	0.610	46.92	224	1.000	bicubic
365	gcvit_tiny.in1k	95.660	4.340	99.330	0.670	28.22	224	0.875	bicubic
366	xception65p.ra3_in1k	95.660	4.340	99.270	0.730	39.82	299	0.940	bicubic
367	regnetz_c16_evos.ch_in1k	95.640	4.360	99.420	0.580	13.49	320	0.950	bicubic
368	deit_base_patch16_384.fb_in1k	95.640	4.360	99.240	0.760	86.86	384	1.000	bicubic
369	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	95.630	4.370	99.440	0.560	25.03	224	0.875	bilinear
370	ecaresnet101d.miil_in1k	95.630	4.370	99.410	0.590	44.57	288	0.950	bicubic
371	focalnet_small_srf.ms_in1k	95.630	4.370	99.290	0.710	49.89	224	0.900	bicubic
372	coatnet_1_rw_224.sw_in1k	95.610	4.390	99.220	0.780	41.72	224	0.950	bicubic
373	efficientformer_l7.snap_dist_in1k	95.600	4.400	99.440	0.560	82.23	224	0.950	bicubic
374	deit3_small_patch16_384.fb_in1k	95.600	4.400	99.390	0.610	22.21	384	1.000	bicubic
375	tf_efficientnetv2_b3.in21k_ft_in1k	95.600	4.400	99.280	0.720	14.36	300	0.900	bicubic
376	tf_efficientnet_b4.aa_in1k	95.590	4.410	99.330	0.670	19.34	380	0.922	bicubic
377	sequencer2d_m.in1k	95.580	4.420	99.270	0.730	38.31	224	0.875	bicubic
378	resnet101.a1h_in1k	95.580	4.420	99.250	0.750	44.55	288	1.000	bicubic
379	resnetv2_101.a1h_in1k	95.570	4.430	99.370	0.630	44.54	288	1.000	bicubic
380	resnest101e.in1k	95.570	4.430	99.270	0.730	48.28	256	0.875	bilinear
381	regnety_320.tv2_in1k	95.560	4.440	99.390	0.610	145.05	224	0.965	bicubic
382	twins_svt_base.in1k	95.560	4.440	99.230	0.770	56.07	224	0.900	bicubic
383	rexnet_300.nav_in1k	95.540	4.460	99.320	0.680	34.71	224	0.875	bicubic
384	nest_base_jx.goog_in1k	95.540	4.460	99.290	0.710	67.72	224	0.875	bicubic
385	nest_small_jx.goog_in1k	95.540	4.460	99.220	0.780	38.35	224	0.875	bicubic
386	efficientnet_b4.ra2_in1k	95.530	4.470	99.400	0.600	19.34	384	1.000	bicubic
387	resnext101_64x4d.c1_in1k	95.530	4.470	99.290	0.710	83.46	288	1.000	bicubic
388	tf_efficientnet_b2.ns_jft_in1k	95.520	4.480	99.340	0.660	9.11	260	0.890	bicubic
389	tresnet_xl.miil_in1k_448	95.510	4.490	99.340	0.660	78.44	448	0.875	bilinear
390	coatnet_rmlp_1_rw_224.sw_in1k	95.500	4.500	99.250	0.750	41.69	224	0.950	bicubic
391	regnety_040.ra3_in1k	95.490	4.510	99.420	0.580	20.65	288	1.000	bicubic
392	tf_efficientnet_b4.ap_in1k	95.490	4.510	99.390	0.610	19.34	380	0.922	bicubic
393	xcit_tiny_24_p16_384.fb_dist_in1k	95.490	4.510	99.360	0.640	12.12	384	1.000	bicubic
394	tf_efficientnet_b4.in1k	95.480	4.520	99.270	0.730	19.34	380	0.922	bicubic
395	twins_pcpvt_base.in1k	95.470	4.530	99.390	0.610	43.83	224	0.900	bicubic
396	pvt_v2_b3.in1k	95.470	4.530	99.310	0.690	45.24	224	0.900	bicubic
397	maxvit_nano_rw_256.sw_in1k	95.470	4.530	99.120	0.880	15.45	256	0.950	bicubic
398	eca_nfnet_l0.ra2_in1k	95.460	4.540	99.390	0.610	24.14	288	1.000	bicubic
399	regnety_032.ra_in1k	95.460	4.540	99.320	0.680	19.44	288	1.000	bicubic
400	cs3edgenet_x.c2_in1k	95.460	4.540	99.280	0.720	47.82	288	1.000	bicubic
401	sequencer2d_s.in1k	95.460	4.540	99.260	0.740	27.65	224	0.875	bicubic
402	xcit_tiny_24_p8_224.fb_dist_in1k	95.450	4.550	99.360	0.640	12.11	224	1.000	bicubic
403	maxvit_rmlp_nano_rw_256.sw_in1k	95.440	4.560	99.060	0.940	15.50	256	0.950	bicubic
404	maxxvitv2_nano_rw_256.sw_in1k	95.430	4.570	99.190	0.810	23.70	256	0.950	bicubic
405	convnextv2_nano.fcmae_ft_in22k_in1k	95.420	4.580	99.310	0.690	15.62	288	1.000	bicubic
406	xcit_small_12_p8_224.fb_in1k	95.420	4.580	99.190	0.810	26.21	224	1.000	bicubic
407	resnetv2_50x1_bit.goog_distilled_in1k	95.410	4.590	99.430	0.570	25.55	224	0.875	bicubic
408	cs3sedarknet_x.c2ns_in1k	95.410	4.590	99.320	0.680	35.40	288	1.000	bicubic
409	swinv2_cr_small_224.sw_in1k	95.410	4.590	99.060	0.940	49.70	224	0.900	bicubic
410	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	95.400	4.600	99.400	0.600	194.03	224	0.875	bilinear
411	tresnet_l.miil_in1k_448	95.400	4.600	99.300	0.700	55.99	448	0.875	bilinear
412	mvitv2_tiny.fb_in1k	95.400	4.600	99.160	0.840	24.17	224	0.900	bicubic
413	mobilevitv2_200.cvnets_in22k_ft_in1k_384	95.390	4.610	99.280	0.720	18.45	384	1.000	bicubic
414	nfnet_l0.ra2_in1k	95.380	4.620	99.420	0.580	35.07	288	1.000	bicubic
415	regnetz_c16.ra3_in1k	95.380	4.620	99.350	0.650	13.46	320	1.000	bicubic
416	deit3_medium_patch16_224.fb_in1k	95.380	4.620	99.210	0.790	38.85	224	0.900	bicubic
417	tresnet_m.miil_in21k_ft_in1k	95.380	4.620	99.150	0.850	31.39	224	0.875	bilinear
418	pnasnet5large.tf_in1k	95.360	4.640	99.130	0.870	86.06	331	0.911	bicubic
419	convnext_nano.in12k_ft_in1k	95.350	4.650	99.450	0.550	15.59	288	1.000	bicubic
420	mobilevitv2_150.cvnets_in22k_ft_in1k_384	95.350	4.650	99.120	0.880	10.59	384	1.000	bicubic
421	xcit_tiny_12_p8_384.fb_dist_in1k	95.340	4.660	99.340	0.660	6.71	384	1.000	bicubic
422	maxxvit_rmlp_nano_rw_256.sw_in1k	95.340	4.660	99.310	0.690	16.78	256	0.950	bicubic
423	swinv2_tiny_window16_256.ms_in1k	95.330	4.670	99.300	0.700	28.35	256	0.900	bicubic
424	convformer_s18.sail_in1k	95.330	4.670	99.150	0.850	26.77	224	1.000	bicubic
425	resnetv2_101x1_bit.goog_in21k_ft_in1k	95.320	4.680	99.370	0.630	44.54	448	1.000	bilinear
426	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	95.320	4.680	99.320	0.680	88.79	224	0.875	bilinear
427	rexnetr_200.sw_in12k_ft_in1k	95.310	4.690	99.480	0.520	16.52	288	1.000	bicubic
428	resnext101_32x8d.tv2_in1k	95.300	4.700	99.360	0.640	88.79	224	0.965	bilinear
429	regnety_080_tv.tv2_in1k	95.300	4.700	99.230	0.770	39.38	224	0.965	bicubic
430	vit_relpos_medium_patch16_cls_224.sw_in1k	95.300	4.700	99.100	0.900	38.76	224	0.900	bicubic
431	resnetaa50d.sw_in12k_ft_in1k	95.290	4.710	99.380	0.620	25.58	288	1.000	bicubic
432	gc_efficientnetv2_rw_t.agc_in1k	95.290	4.710	99.220	0.780	13.68	288	1.000	bicubic
433	cs3darknet_x.c2ns_in1k	95.280	4.720	99.290	0.710	35.05	288	1.000	bicubic
434	regnetx_320.tv2_in1k	95.280	4.720	99.290	0.710	107.81	224	0.965	bicubic
435	mobilevitv2_175.cvnets_in22k_ft_in1k_384	95.260	4.740	99.380	0.620	14.25	384	1.000	bicubic
436	flexivit_small.600ep_in1k	95.260	4.740	99.160	0.840	22.06	240	0.950	bicubic
437	resnetrs101.tf_in1k	95.250	4.750	99.210	0.790	63.62	288	0.940	bicubic
438	vit_relpos_base_patch16_clsgap_224.sw_in1k	95.250	4.750	99.200	0.800	86.43	224	0.900	bicubic
439	convnext_tiny_hnf.a2h_in1k	95.250	4.750	98.980	1.020	28.59	288	1.000	bicubic
440	cait_xxs36_384.fb_dist_in1k	95.240	4.760	99.320	0.680	17.37	384	1.000	bicubic
441	vit_large_patch32_384.orig_in21k_ft_in1k	95.240	4.760	99.320	0.680	306.63	384	1.000	bicubic
442	wide_resnet101_2.tv2_in1k	95.240	4.760	99.200	0.800	126.89	224	0.965	bilinear
443	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	95.230	4.770	99.240	0.760	88.22	224	0.900	bicubic
444	pvt_v2_b2_li.in1k	95.220	4.780	99.260	0.740	22.55	224	0.900	bicubic
445	resnetv2_50d_gn.ah_in1k	95.220	4.780	99.030	0.970	25.57	288	1.000	bicubic
446	convnext_tiny.fb_in1k	95.210	4.790	99.310	0.690	28.59	288	1.000	bicubic
447	efficientformer_l3.snap_dist_in1k	95.210	4.790	99.310	0.690	31.41	224	0.950	bicubic
448	regnetx_160.tv2_in1k	95.210	4.790	99.280	0.720	54.28	224	0.965	bicubic
449	levit_384.fb_dist_in1k	95.210	4.790	99.160	0.840	39.13	224	0.900	bicubic
450	levit_conv_384.fb_dist_in1k	95.210	4.790	99.160	0.840	39.13	224	0.900	bicubic
451	resnet50.fb_swsl_ig1b_ft_in1k	95.200	4.800	99.390	0.610	25.56	224	0.875	bilinear
452	resnet51q.ra2_in1k	95.200	4.800	99.280	0.720	35.70	288	1.000	bilinear
453	vit_base_patch16_224.orig_in21k_ft_in1k	95.200	4.800	99.230	0.770	86.57	224	0.900	bicubic
454	coat_small.in1k	95.190	4.810	99.280	0.720	21.69	224	0.900	bicubic
455	focalnet_tiny_lrf.ms_in1k	95.190	4.810	99.220	0.780	28.65	224	0.900	bicubic
456	vit_relpos_medium_patch16_224.sw_in1k	95.190	4.810	99.220	0.780	38.75	224	0.900	bicubic
457	flexivit_small.1200ep_in1k	95.180	4.820	99.180	0.820	22.06	240	0.950	bicubic
458	poolformerv2_m48.sail_in1k	95.180	4.820	99.160	0.840	73.35	224	1.000	bicubic
459	crossvit_18_dagger_240.in1k	95.180	4.820	99.120	0.880	44.27	240	0.875	bicubic
460	regnety_160.tv2_in1k	95.160	4.840	99.250	0.750	83.59	224	0.965	bicubic
461	efficientnet_b3.ra2_in1k	95.150	4.850	99.210	0.790	12.23	320	1.000	bicubic
462	flexivit_small.300ep_in1k	95.150	4.850	99.150	0.850	22.06	240	0.950	bicubic
463	nasnetalarge.tf_in1k	95.150	4.850	99.130	0.870	88.75	331	0.911	bicubic
464	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	95.140	4.860	99.300	0.700	44.18	224	0.875	bilinear
465	convnextv2_nano.fcmae_ft_in1k	95.140	4.860	99.220	0.780	15.62	288	1.000	bicubic
466	vit_relpos_base_patch16_224.sw_in1k	95.130	4.870	99.290	0.710	86.43	224	0.900	bicubic
467	wide_resnet50_2.racm_in1k	95.130	4.870	99.260	0.740	68.88	288	0.950	bicubic
468	vit_small_r26_s32_224.augreg_in21k_ft_in1k	95.130	4.870	99.220	0.780	36.43	224	0.900	bicubic
469	resnet61q.ra2_in1k	95.130	4.870	99.080	0.920	36.85	288	1.000	bicubic
470	xcit_medium_24_p16_224.fb_in1k	95.130	4.870	98.940	1.060	84.40	224	1.000	bicubic
471	fbnetv3_g.ra2_in1k	95.120	4.880	99.200	0.800	16.62	288	0.950	bilinear
472	tf_efficientnetv2_b3.in1k	95.120	4.880	99.200	0.800	14.36	300	0.904	bicubic
473	efficientformerv2_s2.snap_dist_in1k	95.120	4.880	99.120	0.880	12.71	224	0.950	bicubic
474	cs3sedarknet_l.c2ns_in1k	95.110	4.890	99.210	0.790	21.91	288	0.950	bicubic
475	convit_base.fb_in1k	95.100	4.900	99.150	0.850	86.54	224	0.875	bicubic
476	poolformer_m48.sail_in1k	95.100	4.900	99.100	0.900	73.47	224	0.950	bicubic
477	coatnet_rmlp_nano_rw_224.sw_in1k	95.090	4.910	99.170	0.830	15.15	224	0.900	bicubic
478	resnet152.a1_in1k	95.090	4.910	98.990	1.010	60.19	288	1.000	bicubic
479	ecaresnet50t.ra2_in1k	95.080	4.920	99.290	0.710	25.57	320	0.950	bicubic
480	tresnet_xl.miil_in1k	95.080	4.920	99.260	0.740	78.44	224	0.875	bilinear
481	davit_tiny.msft_in1k	95.080	4.920	99.140	0.860	28.36	224	0.950	bicubic
482	crossvit_18_240.in1k	95.070	4.930	99.120	0.880	43.27	240	0.875	bicubic
483	coat_lite_small.in1k	95.070	4.930	99.030	0.970	19.84	224	0.900	bicubic
484	crossvit_base_240.in1k	95.070	4.930	98.980	1.020	105.03	240	0.875	bicubic
485	efficientnetv2_rw_t.ra2_in1k	95.060	4.940	99.220	0.780	13.65	288	1.000	bicubic
486	vit_relpos_medium_patch16_rpn_224.sw_in1k	95.060	4.940	99.200	0.800	38.73	224	0.900	bicubic
487	xception41p.ra3_in1k	95.060	4.940	99.160	0.840	26.91	299	0.940	bicubic
488	xcit_small_24_p16_224.fb_in1k	95.060	4.940	99.070	0.930	47.67	224	1.000	bicubic
489	focalnet_tiny_srf.ms_in1k	95.050	4.950	99.280	0.720	28.43	224	0.900	bicubic
490	poolformerv2_m36.sail_in1k	95.050	4.950	99.150	0.850	56.08	224	1.000	bicubic
491	coatnet_nano_rw_224.sw_in1k	95.050	4.950	99.140	0.860	15.14	224	0.900	bicubic
492	mobilevitv2_200.cvnets_in22k_ft_in1k	95.050	4.950	99.080	0.920	18.45	256	0.888	bicubic
493	resnet152.tv2_in1k	95.040	4.960	99.180	0.820	60.19	224	0.965	bilinear
494	poolformer_m36.sail_in1k	95.030	4.970	99.100	0.900	56.17	224	0.950	bicubic
495	swinv2_tiny_window8_256.ms_in1k	95.020	4.980	99.170	0.830	28.35	256	0.900	bicubic
496	gcvit_xtiny.in1k	95.020	4.980	99.160	0.840	19.98	224	0.875	bicubic
497	deit_base_patch16_224.fb_in1k	95.020	4.980	98.970	1.030	86.57	224	0.900	bicubic
498	pvt_v2_b2.in1k	95.010	4.990	99.140	0.860	25.36	224	0.900	bicubic
499	halo2botnet50ts_256.a1h_in1k	95.010	4.990	99.040	0.960	22.64	256	0.950	bicubic
500	ecaresnet101d_pruned.miil_in1k	95.000	5.000	99.230	0.770	24.88	288	0.950	bicubic
501	seresnext50_32x4d.racm_in1k	95.000	5.000	99.200	0.800	27.56	288	0.950	bicubic
502	resnext50_32x4d.a1h_in1k	94.990	5.010	99.190	0.810	25.03	288	1.000	bicubic
503	crossvit_15_dagger_240.in1k	94.990	5.010	99.160	0.840	28.21	240	0.875	bicubic
504	coatnet_bn_0_rw_224.sw_in1k	94.980	5.020	99.240	0.760	27.44	224	0.950	bicubic
505	visformer_small.in1k	94.970	5.030	99.210	0.790	40.22	224	0.900	bicubic
506	convmixer_1536_20.in1k	94.970	5.030	99.170	0.830	51.63	224	0.960	bicubic
507	tf_efficientnet_b3.ap_in1k	94.970	5.030	99.110	0.890	12.23	300	0.904	bicubic
508	resnet152.a2_in1k	94.970	5.030	99.070	0.930	60.19	288	1.000	bicubic
509	xcit_large_24_p16_224.fb_in1k	94.960	5.040	98.830	1.170	189.10	224	1.000	bicubic
510	cait_xxs24_384.fb_dist_in1k	94.950	5.050	99.130	0.870	12.03	384	1.000	bicubic
511	vit_srelpos_medium_patch16_224.sw_in1k	94.940	5.060	99.200	0.800	38.74	224	0.900	bicubic
512	resnet101.a1_in1k	94.940	5.060	99.040	0.960	44.55	288	1.000	bicubic
513	gernet_l.idstcv_in1k	94.930	5.070	99.200	0.800	31.08	256	0.875	bilinear
514	resnetv2_50d_evos.ah_in1k	94.920	5.080	99.180	0.820	25.59	288	1.000	bicubic
515	swin_s3_tiny_224.ms_in1k	94.920	5.080	99.170	0.830	28.33	224	0.900	bicubic
516	convit_small.fb_in1k	94.920	5.080	99.100	0.900	27.78	224	0.875	bicubic
517	nest_tiny_jx.goog_in1k	94.920	5.080	99.100	0.900	17.06	224	0.875	bicubic
518	tf_efficientnet_b3.aa_in1k	94.910	5.090	99.110	0.890	12.23	300	0.904	bicubic
519	xcit_tiny_24_p8_224.fb_in1k	94.900	5.100	99.190	0.810	12.11	224	1.000	bicubic
520	tresnet_l.miil_in1k	94.900	5.100	99.030	0.970	55.99	224	0.875	bilinear
521	coatnet_0_rw_224.sw_in1k	94.900	5.100	99.020	0.980	27.44	224	0.950	bicubic
522	vit_small_patch16_224.augreg_in21k_ft_in1k	94.890	5.110	99.270	0.730	22.05	224	0.900	bicubic
523	ecaresnet50t.a1_in1k	94.890	5.110	99.070	0.930	25.57	288	1.000	bicubic
524	resnet101.a2_in1k	94.890	5.110	99.060	0.940	44.55	288	1.000	bicubic
525	mixer_b16_224.miil_in21k_ft_in1k	94.880	5.120	99.080	0.920	59.88	224	0.875	bilinear
526	regnety_032.tv2_in1k	94.870	5.130	99.230	0.770	19.44	224	0.965	bicubic
527	convnext_nano.d1h_in1k	94.870	5.130	99.140	0.860	15.59	288	1.000	bicubic
528	tf_efficientnet_lite4.in1k	94.870	5.130	99.100	0.900	13.01	380	0.920	bilinear
529	tf_efficientnet_b1.ns_jft_in1k	94.860	5.140	99.250	0.750	7.79	240	0.882	bicubic
530	coatnext_nano_rw_224.sw_in1k	94.850	5.150	99.200	0.800	14.70	224	0.900	bicubic
531	resnetaa50.a1h_in1k	94.850	5.150	99.120	0.880	25.56	288	1.000	bicubic
532	resnet101.tv2_in1k	94.840	5.160	99.030	0.970	44.55	224	0.965	bilinear
533	edgenext_small.usi_in1k	94.830	5.170	99.410	0.590	5.59	320	1.000	bicubic
534	vit_base_patch16_rpn_224.sw_in1k	94.830	5.170	99.090	0.910	86.54	224	0.900	bicubic
535	xcit_small_12_p16_224.fb_in1k	94.820	5.180	99.060	0.940	26.25	224	1.000	bicubic
536	wide_resnet50_2.tv2_in1k	94.810	5.190	99.260	0.740	68.88	224	0.965	bilinear
537	resnet50d.ra2_in1k	94.810	5.190	99.230	0.770	25.58	288	0.950	bicubic
538	lamhalobotnet50ts_256.a1h_in1k	94.810	5.190	98.980	1.020	22.57	256	0.950	bicubic
539	pit_b_224.in1k	94.810	5.190	98.820	1.180	73.76	224	0.900	bicubic
540	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	94.800	5.200	99.290	0.710	28.29	224	0.900	bicubic
541	cs3darknet_focus_l.c2ns_in1k	94.790	5.210	99.160	0.840	21.15	288	0.950	bicubic
542	gcresnet50t.ra2_in1k	94.780	5.220	99.120	0.880	25.90	288	1.000	bicubic
543	mobilevitv2_175.cvnets_in22k_ft_in1k	94.780	5.220	99.090	0.910	14.25	256	0.888	bicubic
544	swinv2_cr_tiny_ns_224.sw_in1k	94.770	5.230	99.110	0.890	28.33	224	0.900	bicubic
545	twins_svt_small.in1k	94.760	5.240	99.090	0.910	24.06	224	0.900	bicubic
546	coat_mini.in1k	94.760	5.240	98.950	1.050	10.34	224	0.900	bicubic
547	vit_base_patch32_clip_224.laion2b_ft_in1k	94.750	5.250	99.070	0.930	88.22	224	0.900	bicubic
548	resnetv2_50x1_bit.goog_in21k_ft_in1k	94.740	5.260	99.180	0.820	25.55	448	1.000	bilinear
549	seresnet50.ra2_in1k	94.740	5.260	99.110	0.890	28.09	288	0.950	bicubic
550	legacy_senet154.in1k	94.730	5.270	99.100	0.900	115.09	224	0.875	bilinear
551	regnetx_080.tv2_in1k	94.730	5.270	99.030	0.970	39.57	224	0.965	bicubic
552	resnet152s.gluon_in1k	94.720	5.280	99.060	0.940	60.32	224	0.875	bicubic
553	halonet50ts.a1h_in1k	94.720	5.280	98.830	1.170	22.73	256	0.940	bicubic
554	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	94.710	5.290	99.240	0.760	25.03	224	0.875	bilinear
555	poolformerv2_s36.sail_in1k	94.700	5.300	99.230	0.770	30.79	224	1.000	bicubic
556	resnest50d_4s2x40d.in1k	94.700	5.300	99.130	0.870	30.42	224	0.875	bicubic
557	crossvit_15_240.in1k	94.700	5.300	99.080	0.920	27.53	240	0.875	bicubic
558	senet154.gluon_in1k	94.700	5.300	98.970	1.030	115.09	224	0.875	bicubic
559	xcit_tiny_12_p8_224.fb_dist_in1k	94.690	5.310	99.180	0.820	6.71	224	1.000	bicubic
560	pit_s_distilled_224.in1k	94.690	5.310	99.150	0.850	24.04	224	0.900	bicubic
561	resnetv2_50.a1h_in1k	94.690	5.310	99.090	0.910	25.55	288	1.000	bicubic
562	deit3_small_patch16_224.fb_in1k	94.690	5.310	98.760	1.240	22.06	224	0.900	bicubic
563	cs3darknet_l.c2ns_in1k	94.680	5.320	99.230	0.770	21.16	288	0.950	bicubic
564	vit_relpos_small_patch16_224.sw_in1k	94.680	5.320	99.110	0.890	21.98	224	0.900	bicubic
565	mobilevitv2_150.cvnets_in22k_ft_in1k	94.680	5.320	98.920	1.080	10.59	256	0.888	bicubic
566	ecaresnet50d.miil_in1k	94.670	5.330	99.260	0.740	25.58	288	0.950	bicubic
567	efficientnet_el.ra_in1k	94.670	5.330	99.130	0.870	10.59	300	0.904	bicubic
568	regnetz_b16.ra3_in1k	94.670	5.330	99.130	0.870	9.72	288	1.000	bicubic
569	rexnet_200.nav_in1k	94.670	5.330	99.090	0.910	16.37	224	0.875	bicubic
570	tresnet_m.miil_in1k_448	94.660	5.340	99.150	0.850	31.39	448	0.875	bilinear
571	seresnext101_64x4d.gluon_in1k	94.650	5.350	98.970	1.030	88.23	224	0.875	bicubic
572	resnet50_gn.a1h_in1k	94.620	5.380	99.150	0.850	25.56	288	0.950	bicubic
573	swin_tiny_patch4_window7_224.ms_in1k	94.620	5.380	99.120	0.880	28.29	224	0.900	bicubic
574	poolformer_s36.sail_in1k	94.620	5.380	99.050	0.950	30.86	224	0.900	bicubic
575	vit_small_patch16_384.augreg_in1k	94.610	5.390	99.140	0.860	22.20	384	1.000	bicubic
576	twins_pcpvt_small.in1k	94.600	5.400	99.150	0.850	24.11	224	0.900	bicubic
577	deit_small_distilled_patch16_224.fb_in1k	94.600	5.400	99.100	0.900	22.44	224	0.900	bicubic
578	resnet50.tv2_in1k	94.600	5.400	99.090	0.910	25.56	224	0.965	bilinear
579	resnest50d.in1k	94.600	5.400	99.030	0.970	27.48	224	0.875	bilinear
580	vit_small_patch32_384.augreg_in21k_ft_in1k	94.590	5.410	99.140	0.860	22.92	384	1.000	bicubic
581	efficientnet_b3_pruned.in1k	94.590	5.410	99.070	0.930	9.86	300	0.904	bicubic
582	pit_s_224.in1k	94.590	5.410	98.930	1.070	23.46	224	0.900	bicubic
583	crossvit_small_240.in1k	94.580	5.420	99.110	0.890	26.86	240	0.875	bicubic
584	convnext_nano_ols.d1h_in1k	94.580	5.420	99.050	0.950	15.65	288	1.000	bicubic
585	ecaresnet50t.a2_in1k	94.570	5.430	99.040	0.960	25.57	288	1.000	bicubic
586	repvgg_b3.rvgg_in1k	94.570	5.430	98.910	1.090	123.09	224	0.875	bilinear
587	lambda_resnet50ts.a1h_in1k	94.570	5.430	98.650	1.350	21.54	256	0.950	bicubic
588	tnt_s_patch16_224	94.560	5.440	99.170	0.830	23.76	224	0.900	bicubic
589	resmlp_36_224.fb_distilled_in1k	94.560	5.440	99.160	0.840	44.69	224	0.875	bicubic
590	convnextv2_pico.fcmae_ft_in1k	94.560	5.440	99.140	0.860	9.07	288	0.950	bicubic
591	vit_srelpos_small_patch16_224.sw_in1k	94.550	5.450	99.150	0.850	21.97	224	0.900	bicubic
592	gernet_m.idstcv_in1k	94.540	5.460	98.920	1.080	21.14	224	0.875	bilinear
593	ecaresnetlight.miil_in1k	94.530	5.470	99.180	0.820	30.16	288	0.950	bicubic
594	res2net101d.in1k	94.530	5.470	98.980	1.020	45.23	224	0.875	bilinear
595	regnety_320.pycls_in1k	94.520	5.480	99.170	0.830	145.05	224	0.875	bicubic
596	xcit_tiny_12_p16_384.fb_dist_in1k	94.520	5.480	99.170	0.830	6.72	384	1.000	bicubic
597	mobilevitv2_200.cvnets_in1k	94.520	5.480	98.970	1.030	18.45	256	0.888	bicubic
598	haloregnetz_b.ra3_in1k	94.520	5.480	98.960	1.040	11.68	224	0.940	bicubic
599	regnetx_032.tv2_in1k	94.520	5.480	98.910	1.090	15.30	224	0.965	bicubic
600	sehalonet33ts.ra2_in1k	94.520	5.480	98.770	1.230	13.69	256	0.940	bicubic
601	resnet50.c1_in1k	94.510	5.490	99.070	0.930	25.56	288	1.000	bicubic
602	resnet50.b1k_in1k	94.510	5.490	99.000	1.000	25.56	288	1.000	bicubic
603	repvgg_b3g4.rvgg_in1k	94.500	5.500	99.020	0.980	83.83	224	0.875	bilinear
604	gcresnext50ts.ch_in1k	94.490	5.510	99.010	0.990	15.67	288	1.000	bicubic
605	ese_vovnet39b.ra_in1k	94.480	5.520	99.060	0.940	24.57	288	0.950	bicubic
606	poolformerv2_s24.sail_in1k	94.470	5.530	99.010	0.990	21.34	224	1.000	bicubic
607	resnet50.d_in1k	94.470	5.530	99.000	1.000	25.56	288	1.000	bicubic
608	resnext50_32x4d.tv2_in1k	94.460	5.540	99.030	0.970	25.03	224	0.965	bilinear
609	resnet50d.a2_in1k	94.460	5.540	98.900	1.100	25.58	288	1.000	bicubic
610	eva02_tiny_patch14_336.mim_in22k_ft_in1k	94.450	5.550	99.100	0.900	5.76	336	1.000	bicubic
611	seresnet50.a2_in1k	94.450	5.550	98.890	1.110	28.09	288	1.000	bicubic
612	vit_base_patch32_clip_224.openai_ft_in1k	94.440	5.560	99.180	0.820	88.22	224	0.900	bicubic
613	convmixer_768_32.in1k	94.440	5.560	99.110	0.890	21.11	224	0.960	bicubic
614	vit_base_patch16_384.augreg_in1k	94.440	5.560	99.020	0.980	86.86	384	1.000	bicubic
615	resnet152.a3_in1k	94.440	5.560	98.880	1.120	60.19	224	0.950	bicubic
616	seresnext101_32x4d.gluon_in1k	94.430	5.570	99.090	0.910	48.96	224	0.875	bicubic
617	resnet152d.gluon_in1k	94.430	5.570	99.000	1.000	60.21	224	0.875	bicubic
618	regnety_016.tv2_in1k	94.410	5.590	99.040	0.960	11.20	224	0.965	bicubic
619	levit_256.fb_dist_in1k	94.400	5.600	99.060	0.940	18.89	224	0.900	bicubic
620	levit_conv_256.fb_dist_in1k	94.400	5.600	99.060	0.940	18.89	224	0.900	bicubic
621	vit_base_patch32_224.augreg_in21k_ft_in1k	94.400	5.600	99.060	0.940	88.22	224	0.900	bicubic
622	resnext50d_32x4d.bt_in1k	94.400	5.600	99.050	0.950	25.05	288	0.950	bicubic
623	resnet50d.a1_in1k	94.400	5.600	98.790	1.210	25.58	288	1.000	bicubic
624	poolformer_s24.sail_in1k	94.390	5.610	99.060	0.940	21.39	224	0.900	bicubic
625	nf_resnet50.ra2_in1k	94.380	5.620	99.070	0.930	25.56	288	0.940	bicubic
626	resnest50d_1s4x24d.in1k	94.380	5.620	99.070	0.930	25.68	224	0.875	bicubic
627	inception_v4.tf_in1k	94.380	5.620	98.820	1.180	42.68	299	0.875	bicubic
628	resnext50_32x4d.a1_in1k	94.380	5.620	98.780	1.220	25.03	288	1.000	bicubic
629	darknet53.c2ns_in1k	94.360	5.640	99.050	0.950	41.61	288	1.000	bicubic
630	efficientnet_b2.ra_in1k	94.360	5.640	99.050	0.950	9.11	288	1.000	bicubic
631	edgenext_small_rw.sw_in1k	94.360	5.640	99.040	0.960	7.83	320	1.000	bicubic
632	inception_resnet_v2.tf_in1k	94.360	5.640	98.800	1.200	55.84	299	0.897	bicubic
633	tf_efficientnet_el.in1k	94.350	5.650	99.100	0.900	10.59	300	0.904	bicubic
634	xcit_tiny_12_p8_224.fb_in1k	94.350	5.650	99.070	0.930	6.71	224	1.000	bicubic
635	gcresnet33ts.ra2_in1k	94.350	5.650	98.960	1.040	19.88	288	1.000	bicubic
636	resnext101_64x4d.gluon_in1k	94.350	5.650	98.880	1.120	83.46	224	0.875	bicubic
637	resmlp_24_224.fb_distilled_in1k	94.330	5.670	99.090	0.910	30.02	224	0.875	bicubic
638	resnext50_32x4d.ra_in1k	94.330	5.670	99.030	0.970	25.03	288	0.950	bicubic
639	resnet50.fb_ssl_yfcc100m_ft_in1k	94.320	5.680	99.150	0.850	25.56	224	0.875	bilinear
640	sebotnet33ts_256.a1h_in1k	94.310	5.690	98.600	1.400	13.70	256	0.940	bicubic
641	ecaresnet50d_pruned.miil_in1k	94.300	5.700	99.200	0.800	19.94	288	0.950	bicubic
642	resnet50.b2k_in1k	94.300	5.700	98.930	1.070	25.56	288	1.000	bicubic
643	tf_efficientnet_b3.in1k	94.290	5.710	99.100	0.900	12.23	300	0.904	bicubic
644	res2net50d.in1k	94.280	5.720	98.860	1.140	25.72	224	0.875	bilinear
645	rexnet_150.nav_in1k	94.270	5.730	99.090	0.910	9.73	224	0.875	bicubic
646	resnet50.c2_in1k	94.270	5.730	99.040	0.960	25.56	288	1.000	bicubic
647	tf_efficientnet_b2.ap_in1k	94.270	5.730	98.950	1.050	9.11	260	0.890	bicubic
648	resmlp_big_24_224.fb_in1k	94.270	5.730	98.820	1.180	129.14	224	0.875	bicubic
649	regnetx_120.pycls_in1k	94.260	5.740	99.170	0.830	46.11	224	0.875	bicubic
650	seresnet33ts.ra2_in1k	94.260	5.740	99.000	1.000	19.78	288	1.000	bicubic
651	eca_resnet33ts.ra2_in1k	94.250	5.750	99.030	0.970	19.68	288	1.000	bicubic
652	cspresnext50.ra_in1k	94.240	5.760	99.050	0.950	20.57	256	0.887	bilinear
653	xcit_tiny_24_p16_224.fb_dist_in1k	94.240	5.760	98.960	1.040	12.12	224	1.000	bicubic
654	regnetx_320.pycls_in1k	94.230	5.770	99.050	0.950	107.81	224	0.875	bicubic
655	mobilevitv2_175.cvnets_in1k	94.230	5.770	98.930	1.070	14.25	256	0.888	bicubic
656	mixnet_xl.ra_in1k	94.230	5.770	98.820	1.180	11.90	224	0.875	bicubic
657	tf_efficientnet_b2.aa_in1k	94.220	5.780	99.040	0.960	9.11	260	0.890	bicubic
658	resnet50.a1_in1k	94.220	5.780	98.930	1.070	25.56	288	1.000	bicubic
659	resnext50_32x4d.a2_in1k	94.220	5.780	98.750	1.250	25.03	288	1.000	bicubic
660	maxvit_rmlp_pico_rw_256.sw_in1k	94.210	5.790	99.000	1.000	7.52	256	0.950	bicubic
661	darknetaa53.c2ns_in1k	94.210	5.790	98.950	1.050	36.02	288	1.000	bilinear
662	resnet50.a1h_in1k	94.210	5.790	98.920	1.080	25.56	224	1.000	bicubic
663	resnet101s.gluon_in1k	94.180	5.820	99.010	0.990	44.67	224	0.875	bicubic
664	resnet101d.gluon_in1k	94.180	5.820	98.940	1.060	44.57	224	0.875	bicubic
665	seresnext50_32x4d.gluon_in1k	94.180	5.820	98.920	1.080	27.56	224	0.875	bicubic
666	resnetblur50.bt_in1k	94.170	5.830	99.010	0.990	25.56	288	0.950	bicubic
667	seresnet50.a1_in1k	94.160	5.840	98.850	1.150	28.09	288	1.000	bicubic
668	dpn92.mx_in1k	94.150	5.850	98.950	1.050	37.67	224	0.875	bicubic
669	regnety_064.pycls_in1k	94.130	5.870	99.030	0.970	30.58	224	0.875	bicubic
670	regnety_160.pycls_in1k	94.130	5.870	99.020	0.980	83.59	224	0.875	bicubic
671	resnext101_32x4d.gluon_in1k	94.130	5.870	98.940	1.060	44.18	224	0.875	bicubic
672	resnet50.a2_in1k	94.130	5.870	98.850	1.150	25.56	288	1.000	bicubic
673	legacy_seresnext101_32x4d.in1k	94.120	5.880	98.970	1.030	48.96	224	0.875	bilinear
674	inception_resnet_v2.tf_ens_adv_in1k	94.120	5.880	98.790	1.210	55.84	299	0.897	bicubic
675	resnet50.ra_in1k	94.100	5.900	98.840	1.160	25.56	288	0.950	bicubic
676	cspdarknet53.ra_in1k	94.090	5.910	98.980	1.020	27.64	256	0.887	bilinear
677	tf_efficientnet_lite3.in1k	94.090	5.910	98.960	1.040	8.20	300	0.904	bilinear
678	efficientnet_el_pruned.in1k	94.080	5.920	99.020	0.980	10.59	300	0.904	bicubic
679	tresnet_m.miil_in1k	94.080	5.920	98.830	1.170	31.39	224	0.875	bilinear
680	tf_efficientnetv2_b2.in1k	94.060	5.940	98.930	1.070	10.10	260	0.890	bicubic
681	gcvit_xxtiny.in1k	94.050	5.950	99.080	0.920	12.00	224	0.875	bicubic
682	mobilevitv2_150.cvnets_in1k	94.050	5.950	98.900	1.100	10.59	256	0.888	bicubic
683	convnext_pico.d1_in1k	94.030	5.970	99.010	0.990	9.05	288	0.950	bicubic
684	resnetrs50.tf_in1k	94.030	5.970	98.850	1.150	35.69	224	0.910	bicubic
685	resnet152.gluon_in1k	94.030	5.970	98.740	1.260	60.19	224	0.875	bicubic
686	regnetx_016.tv2_in1k	94.020	5.980	98.930	1.070	9.19	224	0.965	bicubic
687	hrnet_w48.ms_in1k	94.010	5.990	99.030	0.970	77.47	224	0.875	bilinear
688	regnety_120.pycls_in1k	94.010	5.990	99.030	0.970	51.82	224	0.875	bicubic
689	convnext_pico_ols.d1_in1k	94.010	5.990	98.930	1.070	9.06	288	1.000	bicubic
690	dpn107.mx_in1k	94.010	5.990	98.820	1.180	86.92	224	0.875	bicubic
691	resnet50.ram_in1k	94.000	6.000	98.880	1.120	25.56	288	0.950	bicubic
692	dla102x2.in1k	93.990	6.010	99.040	0.960	41.28	224	0.875	bilinear
693	deit_small_patch16_224.fb_in1k	93.990	6.010	98.960	1.040	22.05	224	0.900	bicubic
694	resnet50.bt_in1k	93.960	6.040	98.930	1.070	25.56	288	0.950	bicubic
695	skresnext50_32x4d.ra_in1k	93.960	6.040	98.830	1.170	27.48	224	0.875	bicubic
696	efficientformer_l1.snap_dist_in1k	93.940	6.060	99.030	0.970	12.29	224	0.950	bicubic
697	ecaresnet26t.ra2_in1k	93.940	6.060	98.930	1.070	16.01	320	0.950	bicubic
698	dpn98.mx_in1k	93.930	6.070	98.910	1.090	61.57	224	0.875	bicubic
699	resnet33ts.ra2_in1k	93.930	6.070	98.880	1.120	19.68	288	1.000	bicubic
700	xception71.tf_in1k	93.920	6.080	98.950	1.050	42.34	299	0.903	bicubic
701	regnetx_160.pycls_in1k	93.910	6.090	99.090	0.910	54.28	224	0.875	bicubic
702	cait_xxs36_224.fb_dist_in1k	93.910	6.090	98.890	1.110	17.30	224	1.000	bicubic
703	vit_base_patch16_224.sam_in1k	93.890	6.110	98.890	1.110	86.57	224	0.900	bicubic
704	nf_regnet_b1.ra2_in1k	93.890	6.110	98.750	1.250	10.22	288	0.900	bicubic
705	regnety_080.pycls_in1k	93.880	6.120	99.000	1.000	39.18	224	0.875	bicubic
706	resnet152c.gluon_in1k	93.880	6.120	98.800	1.200	60.21	224	0.875	bicubic
707	fbnetv3_d.ra2_in1k	93.870	6.130	98.900	1.100	10.31	256	0.950	bilinear
708	cspresnet50.ra_in1k	93.870	6.130	98.870	1.130	21.62	256	0.887	bilinear
709	ecaresnet50t.a3_in1k	93.860	6.140	98.850	1.150	25.57	224	0.950	bicubic
710	resnet101.a3_in1k	93.860	6.140	98.760	1.240	44.55	224	0.950	bicubic
711	xcit_tiny_24_p16_224.fb_in1k	93.850	6.150	98.750	1.250	12.12	224	1.000	bicubic
712	efficientformerv2_s1.snap_dist_in1k	93.840	6.160	98.890	1.110	6.19	224	0.950	bicubic
713	hrnet_w64.ms_in1k	93.830	6.170	98.940	1.060	128.06	224	0.875	bilinear
714	repvgg_b2g4.rvgg_in1k	93.830	6.170	98.930	1.070	61.76	224	0.875	bilinear
715	efficientnet_b2_pruned.in1k	93.800	6.200	98.910	1.090	8.31	260	0.890	bicubic
716	regnetx_080.pycls_in1k	93.790	6.210	98.910	1.090	39.57	224	0.875	bicubic
717	dla169.in1k	93.790	6.210	98.860	1.140	53.39	224	0.875	bilinear
718	dpn68b.ra_in1k	93.790	6.210	98.540	1.460	12.61	288	1.000	bicubic
719	resnext101_32x8d.tv_in1k	93.780	6.220	98.960	1.040	88.79	224	0.875	bilinear
720	dpn131.mx_in1k	93.780	6.220	98.850	1.150	79.25	224	0.875	bicubic
721	resnet101.gluon_in1k	93.760	6.240	98.700	1.300	44.55	224	0.875	bicubic
722	tf_efficientnet_b0.ns_jft_in1k	93.750	6.250	98.970	1.030	5.29	224	0.875	bicubic
723	convnextv2_femto.fcmae_ft_in1k	93.750	6.250	98.930	1.070	5.23	288	0.950	bicubic
724	xception65.tf_in1k	93.750	6.250	98.860	1.140	39.92	299	0.903	bicubic
725	efficientnet_em.ra2_in1k	93.730	6.270	98.930	1.070	6.90	240	0.882	bicubic
726	hrnet_w40.ms_in1k	93.730	6.270	98.800	1.200	57.56	224	0.875	bilinear
727	wide_resnet101_2.tv_in1k	93.720	6.280	98.810	1.190	126.89	224	0.875	bilinear
728	tf_efficientnet_b1.aa_in1k	93.720	6.280	98.800	1.200	7.79	240	0.882	bicubic
729	tf_efficientnet_b2.in1k	93.710	6.290	98.930	1.070	9.11	260	0.890	bicubic
730	tf_efficientnetv2_b1.in1k	93.710	6.290	98.820	1.180	8.14	240	0.882	bicubic
731	levit_192.fb_dist_in1k	93.710	6.290	98.790	1.210	10.95	224	0.900	bicubic
732	levit_conv_192.fb_dist_in1k	93.710	6.290	98.790	1.210	10.95	224	0.900	bicubic
733	regnetx_040.pycls_in1k	93.690	6.310	98.930	1.070	22.12	224	0.875	bicubic
734	resnet101c.gluon_in1k	93.690	6.310	98.760	1.240	44.57	224	0.875	bicubic
735	rexnet_130.nav_in1k	93.680	6.320	98.700	1.300	7.56	224	0.875	bicubic
736	resnext50_32x4d.gluon_in1k	93.670	6.330	98.690	1.310	25.03	224	0.875	bicubic
737	resmlp_36_224.fb_in1k	93.650	6.350	98.950	1.050	44.69	224	0.875	bicubic
738	regnetx_064.pycls_in1k	93.640	6.360	99.040	0.960	26.21	224	0.875	bicubic
739	regnety_040.pycls_in1k	93.630	6.370	98.950	1.050	20.65	224	0.875	bicubic
740	fbnetv3_b.ra2_in1k	93.630	6.370	98.910	1.090	8.60	256	0.950	bilinear
741	resnet50.am_in1k	93.630	6.370	98.870	1.130	25.56	224	0.875	bicubic
742	hrnet_w44.ms_in1k	93.620	6.380	98.960	1.040	67.06	224	0.875	bilinear
743	tf_efficientnet_b1.ap_in1k	93.620	6.380	98.800	1.200	7.79	240	0.882	bicubic
744	legacy_xception.tf_in1k	93.620	6.380	98.770	1.230	22.86	299	0.897	bicubic
745	resnet34d.ra2_in1k	93.600	6.400	98.760	1.240	21.82	288	0.950	bicubic
746	res2net50_26w_6s.in1k	93.590	6.410	98.740	1.260	37.05	224	0.875	bilinear
747	resnet32ts.ra2_in1k	93.590	6.410	98.740	1.260	17.96	288	1.000	bicubic
748	halonet26t.a1h_in1k	93.590	6.410	98.630	1.370	12.48	256	0.950	bicubic
749	repvgg_b2.rvgg_in1k	93.580	6.420	99.070	0.930	89.02	224	0.875	bilinear
750	dla60_res2next.in1k	93.580	6.420	98.780	1.220	17.03	224	0.875	bilinear
751	tf_efficientnet_cc_b1_8e.in1k	93.580	6.420	98.690	1.310	39.72	240	0.882	bicubic
752	resnet50s.gluon_in1k	93.570	6.430	98.840	1.160	25.68	224	0.875	bicubic
753	inception_v3.gluon_in1k	93.560	6.440	98.840	1.160	23.83	299	0.875	bicubic
754	resnext50_32x4d.a3_in1k	93.550	6.450	98.820	1.180	25.03	224	0.950	bicubic
755	eca_halonext26ts.c1_in1k	93.550	6.450	98.680	1.320	10.76	256	0.940	bicubic
756	dla102x.in1k	93.540	6.460	98.850	1.150	26.31	224	0.875	bilinear
757	resnet50d.gluon_in1k	93.540	6.460	98.710	1.290	25.58	224	0.875	bicubic
758	res2net101_26w_4s.in1k	93.530	6.470	98.600	1.400	45.21	224	0.875	bilinear
759	convnext_tiny.fb_in22k_ft_in1k	93.530	6.470	98.570	1.430	28.59	288	1.000	bicubic
760	coat_tiny.in1k	93.510	6.490	98.680	1.320	5.50	224	0.900	bicubic
761	SelecSls60b.in1k	93.500	6.500	98.840	1.160	32.77	224	0.875	bicubic
762	gmlp_s16_224.ra3_in1k	93.500	6.500	98.780	1.220	19.42	224	0.875	bicubic
763	pvt_v2_b1.in1k	93.490	6.510	98.860	1.140	14.01	224	0.900	bicubic
764	hrnet_w18.ms_aug_in1k	93.480	6.520	98.980	1.020	21.30	224	0.950	bilinear
765	mobilevitv2_125.cvnets_in1k	93.480	6.520	98.840	1.160	7.48	256	0.888	bicubic
766	xception41.tf_in1k	93.480	6.520	98.750	1.250	26.97	299	0.903	bicubic
767	coat_lite_mini.in1k	93.470	6.530	98.770	1.230	11.01	224	0.900	bicubic
768	regnety_032.pycls_in1k	93.460	6.540	98.950	1.050	19.44	224	0.875	bicubic
769	wide_resnet50_2.tv_in1k	93.460	6.540	98.950	1.050	68.88	224	0.875	bilinear
770	legacy_seresnext50_32x4d.in1k	93.450	6.550	98.800	1.200	27.56	224	0.875	bilinear
771	cait_xxs24_224.fb_dist_in1k	93.450	6.550	98.780	1.220	11.96	224	1.000	bicubic
772	vit_small_patch16_224.augreg_in1k	93.450	6.550	98.780	1.220	22.05	224	0.900	bicubic
773	convnext_femto.d1_in1k	93.440	6.560	98.820	1.180	5.22	288	0.950	bicubic
774	repvgg_b1.rvgg_in1k	93.440	6.560	98.790	1.210	57.42	224	0.875	bilinear
775	botnet26t_256.c1_in1k	93.440	6.560	98.650	1.350	12.49	256	0.950	bicubic
776	lambda_resnet26rpt_256.c1_in1k	93.430	6.570	98.880	1.120	10.99	256	0.940	bicubic
777	lambda_resnet26t.c1_in1k	93.430	6.570	98.730	1.270	10.96	256	0.940	bicubic
778	vit_tiny_patch16_384.augreg_in21k_ft_in1k	93.420	6.580	98.830	1.170	5.79	384	1.000	bicubic
779	resmlp_24_224.fb_in1k	93.420	6.580	98.810	1.190	30.02	224	0.875	bicubic
780	legacy_seresnet152.in1k	93.410	6.590	98.850	1.150	66.82	224	0.875	bilinear
781	hrnet_w30.ms_in1k	93.410	6.590	98.830	1.170	37.71	224	0.875	bilinear
782	resnet50d.a3_in1k	93.410	6.590	98.750	1.250	25.58	224	0.950	bicubic
783	res2net50_26w_8s.in1k	93.410	6.590	98.690	1.310	48.40	224	0.875	bilinear
784	convnext_femto_ols.d1_in1k	93.390	6.610	98.910	1.090	5.23	288	0.950	bicubic
785	dla60_res2net.in1k	93.370	6.630	98.830	1.170	20.85	224	0.875	bilinear
786	xcit_tiny_12_p16_224.fb_dist_in1k	93.350	6.650	98.760	1.240	6.72	224	1.000	bicubic
787	eca_botnext26ts_256.c1_in1k	93.350	6.650	98.690	1.310	10.59	256	0.950	bicubic
788	seresnext26t_32x4d.bt_in1k	93.350	6.650	98.690	1.310	16.81	288	0.950	bicubic
789	vit_base_patch16_224.augreg_in1k	93.350	6.650	98.660	1.340	86.57	224	0.900	bicubic
790	xcit_nano_12_p8_384.fb_dist_in1k	93.300	6.700	98.860	1.140	3.05	384	1.000	bicubic
791	pit_xs_distilled_224.in1k	93.280	6.720	98.790	1.210	11.00	224	0.900	bicubic
792	cs3darknet_m.c2ns_in1k	93.280	6.720	98.720	1.280	9.31	288	0.950	bicubic
793	legacy_seresnet101.in1k	93.270	6.730	98.740	1.260	49.33	224	0.875	bilinear
794	dla102.in1k	93.250	6.750	98.790	1.210	33.27	224	0.875	bilinear
795	resnet152.tv_in1k	93.240	6.760	98.750	1.250	60.19	224	0.875	bilinear
796	regnetx_032.pycls_in1k	93.240	6.760	98.720	1.280	15.30	224	0.875	bicubic
797	mixnet_l.ft_in1k	93.240	6.760	98.700	1.300	7.33	224	0.875	bicubic
798	resnest26d.gluon_in1k	93.230	6.770	98.850	1.150	17.07	224	0.875	bilinear
799	dla60x.in1k	93.190	6.810	98.720	1.280	17.35	224	0.875	bilinear
800	tf_efficientnet_em.in1k	93.190	6.810	98.660	1.340	6.90	240	0.882	bicubic
801	inception_v3.tf_in1k	93.190	6.810	98.490	1.510	23.83	299	0.875	bicubic
802	res2net50_26w_4s.in1k	93.180	6.820	98.660	1.340	25.70	224	0.875	bilinear
803	regnety_008_tv.tv2_in1k	93.160	6.840	98.680	1.320	6.43	224	0.965	bicubic
804	mobilevit_s.cvnets_in1k	93.150	6.850	98.780	1.220	5.58	256	0.900	bicubic
805	res2next50.in1k	93.150	6.850	98.640	1.360	24.67	224	0.875	bilinear
806	vit_base_patch32_384.augreg_in1k	93.150	6.850	98.610	1.390	88.30	384	1.000	bicubic
807	mobilevitv2_100.cvnets_in1k	93.140	6.860	98.760	1.240	4.90	256	0.888	bicubic
808	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	93.140	6.860	98.310	1.690	119.42	256	0.900	bicubic
809	bat_resnext26ts.ch_in1k	93.120	6.880	98.730	1.270	10.73	256	0.900	bicubic
810	cs3darknet_focus_m.c2ns_in1k	93.100	6.900	98.750	1.250	9.30	288	0.950	bicubic
811	seresnext26d_32x4d.bt_in1k	93.060	6.940	98.710	1.290	16.81	288	0.950	bicubic
812	tf_efficientnetv2_b0.in1k	93.060	6.940	98.700	1.300	7.14	224	0.875	bicubic
813	repvgg_b1g4.rvgg_in1k	93.030	6.970	98.820	1.180	39.97	224	0.875	bilinear
814	levit_128.fb_dist_in1k	93.030	6.970	98.710	1.290	9.21	224	0.900	bicubic
815	levit_conv_128.fb_dist_in1k	93.030	6.970	98.700	1.300	9.21	224	0.900	bicubic
816	res2net50_14w_8s.in1k	93.030	6.970	98.700	1.300	25.06	224	0.875	bilinear
817	densenetblur121d.ra_in1k	93.030	6.970	98.600	1.400	8.00	288	0.950	bicubic
818	tf_mixnet_l.in1k	93.030	6.970	98.530	1.470	7.33	224	0.875	bicubic
819	efficientnet_b1.ft_in1k	93.020	6.980	98.710	1.290	7.79	256	1.000	bicubic
820	regnety_016.pycls_in1k	93.010	6.990	98.670	1.330	11.20	224	0.875	bicubic
821	SelecSls60.in1k	93.000	7.000	98.820	1.180	30.67	224	0.875	bicubic
822	resnet34.a1_in1k	93.000	7.000	98.630	1.370	21.80	288	1.000	bicubic
823	inception_v3.tf_adv_in1k	93.000	7.000	98.490	1.510	23.83	299	0.875	bicubic
824	visformer_tiny.in1k	92.980	7.020	98.730	1.270	10.32	224	0.900	bicubic
825	convnext_atto_ols.a2_in1k	92.980	7.020	98.670	1.330	3.70	288	0.950	bicubic
826	hardcorenas_f.miil_green_in1k	92.980	7.020	98.620	1.380	8.20	224	0.875	bilinear
827	efficientnet_b1_pruned.in1k	92.980	7.020	98.530	1.470	6.33	240	0.882	bicubic
828	hrnet_w32.ms_in1k	92.960	7.040	98.850	1.150	41.23	224	0.875	bilinear
829	seresnext26ts.ch_in1k	92.940	7.060	98.670	1.330	10.39	288	1.000	bicubic
830	tf_efficientnet_b1.in1k	92.940	7.060	98.660	1.340	7.79	240	0.882	bicubic
831	hardcorenas_e.miil_green_in1k	92.940	7.060	98.580	1.420	8.07	224	0.875	bilinear
832	resnet50.a3_in1k	92.940	7.060	98.530	1.470	25.56	224	0.950	bicubic
833	efficientnet_es.ra_in1k	92.920	7.080	98.690	1.310	5.44	224	0.875	bicubic
834	resnet26t.ra2_in1k	92.920	7.080	98.680	1.320	16.01	320	1.000	bicubic
835	convnextv2_atto.fcmae_ft_in1k	92.920	7.080	98.560	1.440	3.71	288	0.950	bicubic
836	resnet50c.gluon_in1k	92.910	7.090	98.700	1.300	25.58	224	0.875	bicubic
837	resnext50_32x4d.tv_in1k	92.900	7.100	98.730	1.270	25.03	224	0.875	bilinear
838	inception_v3.tv_in1k	92.900	7.100	98.320	1.680	23.83	299	0.875	bicubic
839	densenet161.tv_in1k	92.890	7.110	98.790	1.210	28.68	224	0.875	bicubic
840	pit_xs_224.in1k	92.890	7.110	98.770	1.230	10.62	224	0.900	bicubic
841	poolformerv2_s12.sail_in1k	92.890	7.110	98.530	1.470	11.89	224	1.000	bicubic
842	resnet101.tv_in1k	92.880	7.120	98.660	1.340	44.55	224	0.875	bilinear
843	resmlp_12_224.fb_distilled_in1k	92.870	7.130	98.620	1.380	15.35	224	0.875	bicubic
844	tf_efficientnet_cc_b0_8e.in1k	92.870	7.130	98.460	1.540	24.01	224	0.875	bicubic
845	coat_lite_tiny.in1k	92.860	7.140	98.630	1.370	5.72	224	0.900	bicubic
846	rexnet_100.nav_in1k	92.830	7.170	98.600	1.400	4.80	224	0.875	bicubic
847	tf_efficientnet_cc_b0_4e.in1k	92.820	7.180	98.440	1.560	13.31	224	0.875	bicubic
848	tinynet_a.in1k	92.800	7.200	98.560	1.440	6.19	192	0.875	bicubic
849	dpn68b.mx_in1k	92.790	7.210	98.520	1.480	12.61	224	0.875	bicubic
850	res2net50_48w_2s.in1k	92.780	7.220	98.470	1.530	25.29	224	0.875	bilinear
851	hrnet_w18.ms_in1k	92.770	7.230	98.660	1.340	21.30	224	0.875	bilinear
852	convnext_atto.d2_in1k	92.770	7.230	98.620	1.380	3.70	288	0.950	bicubic
853	ese_vovnet19b_dw.ra_in1k	92.760	7.240	98.650	1.350	6.54	288	0.950	bicubic
854	crossvit_9_dagger_240.in1k	92.760	7.240	98.490	1.510	8.78	240	0.875	bicubic
855	eca_resnext26ts.ch_in1k	92.750	7.250	98.710	1.290	10.30	288	1.000	bicubic
856	gcresnext26ts.ch_in1k	92.740	7.260	98.610	1.390	10.48	288	1.000	bicubic
857	densenet201.tv_in1k	92.700	7.300	98.640	1.360	20.01	224	0.875	bicubic
858	densenet121.ra_in1k	92.700	7.300	98.600	1.400	7.98	288	0.950	bicubic
859	repvgg_a2.rvgg_in1k	92.680	7.320	98.530	1.470	28.21	224	0.875	bilinear
860	gmixer_24_224.ra3_in1k	92.680	7.320	98.280	1.720	24.72	224	0.875	bicubic
861	legacy_seresnet50.in1k	92.670	7.330	98.650	1.350	28.09	224	0.875	bilinear
862	dla60.in1k	92.640	7.360	98.630	1.370	22.04	224	0.875	bilinear
863	tf_efficientnet_b0.ap_in1k	92.620	7.380	98.370	1.630	5.29	224	0.875	bicubic
864	mobilenetv2_120d.ra_in1k	92.610	7.390	98.510	1.490	5.83	224	0.875	bicubic
865	hardcorenas_d.miil_green_in1k	92.610	7.390	98.430	1.570	7.50	224	0.875	bilinear
866	legacy_seresnext26_32x4d.in1k	92.600	7.400	98.410	1.590	16.79	224	0.875	bicubic
867	tf_efficientnet_lite2.in1k	92.590	7.410	98.540	1.460	6.09	260	0.890	bicubic
868	resnet34.a2_in1k	92.570	7.430	98.570	1.430	21.80	288	1.000	bicubic
869	skresnet34.ra_in1k	92.570	7.430	98.520	1.480	22.28	224	0.875	bicubic
870	resnet50.gluon_in1k	92.560	7.440	98.550	1.450	25.56	224	0.875	bicubic
871	resnet26d.bt_in1k	92.550	7.450	98.650	1.350	16.01	288	0.950	bicubic
872	regnetx_016.pycls_in1k	92.530	7.470	98.550	1.450	9.19	224	0.875	bicubic
873	poolformer_s12.sail_in1k	92.500	7.500	98.400	1.600	11.92	224	0.900	bicubic
874	regnetx_008.tv2_in1k	92.490	7.510	98.430	1.570	7.26	224	0.965	bicubic
875	efficientnet_b0.ra_in1k	92.480	7.520	98.680	1.320	5.29	224	0.875	bicubic
876	xcit_tiny_12_p16_224.fb_in1k	92.480	7.520	98.630	1.370	6.72	224	1.000	bicubic
877	SelecSls42b.in1k	92.480	7.520	98.430	1.570	32.46	224	0.875	bicubic
878	gernet_s.idstcv_in1k	92.440	7.560	98.500	1.500	8.17	224	0.875	bilinear
879	xcit_nano_12_p8_224.fb_dist_in1k	92.430	7.570	98.530	1.470	3.05	224	1.000	bicubic
880	tf_efficientnet_b0.aa_in1k	92.400	7.600	98.470	1.530	5.29	224	0.875	bicubic
881	resnext26ts.ra2_in1k	92.380	7.620	98.390	1.610	10.30	288	1.000	bicubic
882	seresnet50.a3_in1k	92.360	7.640	98.330	1.670	28.09	224	0.950	bicubic
883	hardcorenas_c.miil_green_in1k	92.350	7.650	98.340	1.660	5.52	224	0.875	bilinear
884	convmixer_1024_20_ks9_p14.in1k	92.330	7.670	98.430	1.570	24.38	224	0.960	bicubic
885	dpn68.mx_in1k	92.300	7.700	98.610	1.390	12.61	224	0.875	bicubic
886	densenet169.tv_in1k	92.300	7.700	98.590	1.410	14.15	224	0.875	bicubic
887	tf_efficientnet_lite1.in1k	92.290	7.710	98.500	1.500	5.42	240	0.882	bicubic
888	resnet34.bt_in1k	92.280	7.720	98.600	1.400	21.80	288	0.950	bicubic
889	tf_efficientnet_b0.in1k	92.280	7.720	98.550	1.450	5.29	224	0.875	bicubic
890	mixnet_m.ft_in1k	92.270	7.730	98.360	1.640	5.01	224	0.875	bicubic
891	mobilenetv3_large_100.miil_in21k_ft_in1k	92.260	7.740	98.240	1.760	5.48	224	0.875	bilinear
892	tf_mixnet_m.in1k	92.210	7.790	98.420	1.580	5.01	224	0.875	bicubic
893	vit_small_patch32_224.augreg_in21k_ft_in1k	92.140	7.860	98.520	1.480	22.88	224	0.900	bicubic
894	xcit_nano_12_p16_384.fb_dist_in1k	92.140	7.860	98.510	1.490	3.05	384	1.000	bicubic
895	resmlp_12_224.fb_in1k	92.120	7.880	98.570	1.430	15.35	224	0.875	bicubic
896	resnet26.bt_in1k	92.120	7.880	98.550	1.450	16.00	288	0.950	bicubic
897	resnet50.tv_in1k	92.120	7.880	98.410	1.590	25.56	224	0.875	bilinear
898	tf_efficientnet_es.in1k	92.110	7.890	98.430	1.570	5.44	224	0.875	bicubic
899	mobilenetv2_140.ra_in1k	92.050	7.950	98.250	1.750	6.11	224	0.875	bicubic
900	mobilevitv2_075.cvnets_in1k	91.970	8.030	98.300	1.700	2.87	256	0.888	bicubic
901	hardcorenas_b.miil_green_in1k	91.920	8.080	98.410	1.590	5.18	224	0.875	bilinear
902	vit_tiny_patch16_224.augreg_in21k_ft_in1k	91.920	8.080	98.340	1.660	5.72	224	0.900	bicubic
903	regnety_008.pycls_in1k	91.890	8.110	98.410	1.590	6.26	224	0.875	bicubic
904	efficientformerv2_s0.snap_dist_in1k	91.870	8.130	98.370	1.630	3.60	224	0.950	bicubic
905	mixnet_s.ft_in1k	91.770	8.230	98.310	1.690	4.13	224	0.875	bicubic
906	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	91.730	8.270	98.430	1.570	6.36	384	1.000	bicubic
907	efficientnet_es_pruned.in1k	91.690	8.310	98.410	1.590	5.44	224	0.875	bicubic
908	repvgg_b0.rvgg_in1k	91.680	8.320	98.450	1.550	15.82	224	0.875	bilinear
909	tf_mixnet_s.in1k	91.680	8.320	98.240	1.760	4.13	224	0.875	bicubic
910	semnasnet_100.rmsp_in1k	91.670	8.330	98.290	1.710	3.89	224	0.875	bicubic
911	regnety_004.tv2_in1k	91.620	8.380	98.290	1.710	4.34	224	0.965	bicubic
912	hardcorenas_a.miil_green_in1k	91.620	8.380	98.170	1.830	5.26	224	0.875	bilinear
913	edgenext_x_small.in1k	91.580	8.420	98.190	1.810	2.34	288	1.000	bicubic
914	regnety_006.pycls_in1k	91.560	8.440	98.430	1.570	6.06	224	0.875	bicubic
915	mobilenetv3_rw.rmsp_in1k	91.550	8.450	98.280	1.720	5.48	224	0.875	bicubic
916	levit_128s.fb_dist_in1k	91.510	8.490	98.400	1.600	7.78	224	0.900	bicubic
917	levit_conv_128s.fb_dist_in1k	91.500	8.500	98.400	1.600	7.78	224	0.900	bicubic
918	legacy_seresnet34.in1k	91.490	8.510	98.200	1.800	21.96	224	0.875	bilinear
919	mobilenetv3_large_100.ra_in1k	91.470	8.530	98.320	1.680	5.48	224	0.875	bicubic
920	tf_mobilenetv3_large_100.in1k	91.420	8.580	98.260	1.740	5.48	224	0.875	bilinear
921	densenet121.tv_in1k	91.400	8.600	98.250	1.750	7.98	224	0.875	bicubic
922	mobilenetv2_110d.ra_in1k	91.330	8.670	98.190	1.810	4.52	224	0.875	bicubic
923	tf_efficientnet_lite0.in1k	91.280	8.720	98.090	1.910	4.65	224	0.875	bicubic
924	fbnetc_100.rmsp_in1k	91.280	8.720	97.840	2.160	5.57	224	0.875	bilinear
925	efficientnet_lite0.ra_in1k	91.260	8.740	98.240	1.760	4.65	224	0.875	bicubic
926	dla34.in1k	91.220	8.780	98.170	1.830	15.74	224	0.875	bilinear
927	mobilevit_xs.cvnets_in1k	91.210	8.790	98.220	1.780	2.32	256	0.900	bicubic
928	mnasnet_100.rmsp_in1k	91.210	8.790	98.060	1.940	4.38	224	0.875	bicubic
929	regnetx_008.pycls_in1k	91.180	8.820	98.370	1.630	7.26	224	0.875	bicubic
930	hrnet_w18_small_v2.ms_in1k	91.160	8.840	98.340	1.660	15.60	224	0.875	bilinear
931	regnetx_004_tv.tv2_in1k	91.160	8.840	98.110	1.890	5.50	224	0.965	bicubic
932	resnest14d.gluon_in1k	91.150	8.850	98.330	1.670	10.61	224	0.875	bilinear
933	mixer_b16_224.goog_in21k_ft_in1k	91.140	8.860	97.400	2.600	59.88	224	0.875	bicubic
934	tinynet_b.in1k	91.120	8.880	98.060	1.940	3.73	188	0.875	bicubic
935	xcit_nano_12_p8_224.fb_in1k	91.100	8.900	98.230	1.770	3.05	224	1.000	bicubic
936	resnet34.gluon_in1k	91.090	8.910	98.170	1.830	21.80	224	0.875	bicubic
937	deit_tiny_distilled_patch16_224.fb_in1k	91.080	8.920	98.270	1.730	5.91	224	0.900	bicubic
938	resnet18.fb_swsl_ig1b_ft_in1k	91.080	8.920	98.200	1.800	11.69	224	0.875	bilinear
939	crossvit_9_240.in1k	91.060	8.940	98.300	1.700	8.55	240	0.875	bicubic
940	vgg19_bn.tv_in1k	90.990	9.010	98.100	1.900	143.68	224	0.875	bilinear
941	resnet18d.ra2_in1k	90.800	9.200	98.160	1.840	11.71	288	0.950	bicubic
942	regnetx_006.pycls_in1k	90.790	9.210	98.090	1.910	6.20	224	0.875	bicubic
943	regnety_004.pycls_in1k	90.770	9.230	98.070	1.930	4.34	224	0.875	bicubic
944	pit_ti_distilled_224.in1k	90.730	9.270	98.250	1.750	5.10	224	0.900	bicubic
945	resnet18.fb_ssl_yfcc100m_ft_in1k	90.700	9.300	98.030	1.970	11.69	224	0.875	bilinear
946	spnasnet_100.rmsp_in1k	90.590	9.410	97.950	2.050	4.42	224	0.875	bilinear
947	vit_base_patch32_224.augreg_in1k	90.590	9.410	97.720	2.280	88.22	224	0.900	bicubic
948	convit_tiny.fb_in1k	90.550	9.450	98.190	1.810	5.71	224	0.875	bicubic
949	vgg16_bn.tv_in1k	90.540	9.460	97.990	2.010	138.37	224	0.875	bilinear
950	crossvit_tiny_240.in1k	90.530	9.470	97.950	2.050	7.01	240	0.875	bicubic
951	ghostnet_100.in1k	90.450	9.550	97.820	2.180	5.18	224	0.875	bilinear
952	pit_ti_224.in1k	90.420	9.580	98.010	1.990	4.85	224	0.900	bicubic
953	tf_mobilenetv3_large_075.in1k	90.330	9.670	97.870	2.130	3.99	224	0.875	bilinear
954	resnet34.tv_in1k	90.300	9.700	97.970	2.030	21.80	224	0.875	bilinear
955	resnet34.a3_in1k	90.240	9.760	97.880	2.120	21.80	224	0.950	bicubic
956	semnasnet_075.rmsp_in1k	90.220	9.780	97.950	2.050	2.91	224	0.875	bicubic
957	resnet18.a1_in1k	90.200	9.800	97.760	2.240	11.69	288	1.000	bicubic
958	xcit_nano_12_p16_224.fb_dist_in1k	90.190	9.810	97.750	2.250	3.05	224	1.000	bicubic
959	skresnet18.ra_in1k	90.180	9.820	97.780	2.220	11.96	224	0.875	bicubic
960	hrnet_w18_small.ms_in1k	89.870	10.130	97.890	2.110	13.19	224	0.875	bilinear
961	vit_base_patch32_224.sam_in1k	89.870	10.130	97.600	2.400	88.22	224	0.900	bicubic
962	mobilenetv2_100.ra_in1k	89.850	10.150	97.830	2.170	3.50	224	0.875	bicubic
963	edgenext_xx_small.in1k	89.800	10.200	97.500	2.500	1.33	288	1.000	bicubic
964	vgg19.tv_in1k	89.680	10.320	97.550	2.450	143.67	224	0.875	bilinear
965	deit_tiny_patch16_224.fb_in1k	89.610	10.390	97.960	2.040	5.72	224	0.900	bicubic
966	resnet18.a2_in1k	89.480	10.520	97.630	2.370	11.69	288	1.000	bicubic
967	regnetx_004.pycls_in1k	89.460	10.540	97.760	2.240	5.16	224	0.875	bicubic
968	vgg16.tv_in1k	89.370	10.630	97.520	2.480	138.36	224	0.875	bilinear
969	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	89.340	10.660	97.700	2.300	6.34	224	0.900	bicubic
970	legacy_seresnet18.in1k	89.260	10.740	97.690	2.310	11.78	224	0.875	bicubic
971	resnet14t.c3_in1k	89.250	10.750	97.440	2.560	10.08	224	0.950	bicubic
972	vgg13_bn.tv_in1k	89.200	10.800	97.530	2.470	133.05	224	0.875	bilinear
973	tf_mobilenetv3_large_minimal_100.in1k	89.160	10.840	97.310	2.690	3.92	224	0.875	bilinear
974	mobilevitv2_050.cvnets_in1k	89.030	10.970	97.590	2.410	1.37	256	0.888	bicubic
975	pvt_v2_b0.in1k	88.970	11.030	97.690	2.310	3.67	224	0.900	bicubic
976	xcit_nano_12_p16_224.fb_in1k	88.970	11.030	97.410	2.590	3.05	224	1.000	bicubic
977	lcnet_100.ra2_in1k	88.910	11.090	97.380	2.620	2.95	224	0.875	bicubic
978	resnet18.gluon_in1k	88.660	11.340	97.090	2.910	11.69	224	0.875	bicubic
979	tinynet_c.in1k	88.400	11.600	97.260	2.740	2.46	184	0.875	bicubic
980	vgg11_bn.tv_in1k	88.400	11.600	97.250	2.750	132.87	224	0.875	bilinear
981	regnety_002.pycls_in1k	88.190	11.810	97.440	2.560	3.16	224	0.875	bicubic
982	resnet18.tv_in1k	88.150	11.850	97.120	2.880	11.69	224	0.875	bilinear
983	mobilevit_xxs.cvnets_in1k	87.930	12.070	97.190	2.810	1.27	256	0.900	bicubic
984	vgg13.tv_in1k	87.570	12.430	97.110	2.890	133.05	224	0.875	bilinear
985	regnetx_002.pycls_in1k	87.360	12.640	97.000	3.000	2.68	224	0.875	bicubic
986	vgg11.tv_in1k	87.350	12.650	97.100	2.900	132.86	224	0.875	bilinear
987	dla60x_c.in1k	87.130	12.870	97.140	2.860	1.32	224	0.875	bilinear
988	resnet18.a3_in1k	87.070	12.930	96.660	3.340	11.69	224	0.950	bicubic
989	mixer_l16_224.goog_in21k_ft_in1k	86.990	13.010	94.070	5.930	208.20	224	0.875	bicubic
990	lcnet_075.ra2_in1k	86.960	13.040	96.550	3.450	2.36	224	0.875	bicubic
991	resnet10t.c3_in1k	86.680	13.320	96.730	3.270	5.44	224	0.950	bicubic
992	mobilenetv3_small_100.lamb_in1k	86.180	13.820	96.450	3.550	2.54	224	0.875	bicubic
993	tf_mobilenetv3_small_100.in1k	85.940	14.060	96.400	3.600	2.54	224	0.875	bilinear
994	mnasnet_small.lamb_in1k	85.480	14.520	96.000	4.000	2.03	224	0.875	bicubic
995	tinynet_d.in1k	85.440	14.560	96.020	3.980	2.34	152	0.875	bicubic
996	dla46x_c.in1k	85.430	14.570	96.430	3.570	1.07	224	0.875	bilinear
997	mobilenetv2_050.lamb_in1k	84.990	15.010	95.620	4.380	1.97	224	0.875	bicubic
998	dla46_c.in1k	84.700	15.300	96.210	3.790	1.30	224	0.875	bilinear
999	tf_mobilenetv3_small_075.in1k	84.500	15.500	95.880	4.120	2.04	224	0.875	bilinear
1000	mobilenetv3_small_075.lamb_in1k	84.120	15.880	95.520	4.480	2.04	224	0.875	bicubic
1001	lcnet_050.ra2_in1k	83.030	16.970	95.000	5.000	1.88	224	0.875	bicubic
1002	tf_mobilenetv3_small_minimal_100.in1k	82.670	17.330	95.020	4.980	2.04	224	0.875	bilinear
1003	tinynet_e.in1k	79.820	20.180	93.970	6.030	2.04	106	0.875	bicubic
1004	mobilenetv3_small_050.lamb_in1k	78.090	21.910	93.010	6.990	1.59	224	0.875	bicubic