Leaderboard Explore Compare Profile Community Blog FAQ Competition 2024 Report Issue

Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Kato2026Fil-accuracy_distance")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	efficientnet_b1_imagenet_full	1.0
2	ReAlnet04	1.0
3	voneresnet-50	1.0
4	ReAlnet10	1.0
5	ReAlnet07	1.0
6	ReAlnet09	1.0
7	vgg_16	1.0
8	resnet50_simsiam_linhead	1.0
9	resnet50_simclr_linhead_01norm	1.0
10	resnet50_robust_l2_eps1	1.0
11	resnet50-SIN_IN	1.0
12	nasnet_mobile	1.0
13	AdvProp_efficientnet-b4	1.0
14	resnet18_imagenet_full	1.0
15	vonegrcnn_47e	1.0
16	resnet34_imagenet_full	1.0
17	vonegrcnn_62e_nobn	1.0
18	voneresnet-50-robust	1.0
19	efficientnet_b2_imagenet_full	1.0
20	AdvProp_efficientnet-b7	1.0
21	resnet50-vitoimagevidnet8	1.0
22	resnet50-VITO-8deg-cc	1.0
23	shufflenet_v2_x1_0	1.0
24	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	1.0
25	ReAlnet08	1.0
26	efficientnet_b0	1.0
27	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	1.0
28	eicircuit_resnet18_bn_20260919	1.0
29	ViT_L_32_imagenet1k	1.0
30	resnet50-moclr8deg	1.0
31	convnext_small_imagenet_100_seed-0	1.0
32	ijepa_vith14_linhead	1.0
33	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	1.0
34	efficientnet_b0_imagenet_full	1.0
35	deit_small_imagenet_full_seed-0	1.0
36	resnet_50_v1	1.0
37	resnet50_tutorial	1.0
38	resnet50-sup	1.0
39	densenet-121	1.0
40	AdvProp_efficientnet-b6	1.0
41	voneresnet-50-non_stochastic	1.0
42	antialiased-r50	1.0
43	antialias-resnet152	1.0
44	AdvProp_efficientnet-b2	1.0
45	AT_efficientnet-b2	1.0
46	resnet50_imagenet_full	1.0
47	alexnet_training_seed_09	.999
48	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.997
49	cvt_cvt-13-384-in1k_4_LucyV4	.996
50	resnet_50_v1_spiking	.995
51	resnet_101_v1	.993
52	resnet50_ewconplus_wzc_seed6_2_323	.992
53	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.990
54	densenet-201	.984
55	resnet_50_v2	.983
56	cvt_cvt-21-384-in1k_4_LucyV4	.983
57	resnet50_vicreg_linhead	.982
58	resnet50_ewconplus_wzc	.982
59	resnet50_st_wzc_2	.980
60	resnet50_barlowtwins_linhead	.979
61	custom_model_cv_18_dagger_408	.978
62	resnet50_ewconplus_wzc_seed5_2__323	.978
63	cvt_cvt-21-224-in1k_4_LucyV4	.977
64	blt_vs	.977
65	resnet101_imagenet_full	.975
66	resnet50_hvs_wzc	.973
67	inception_v3	.970
68	resnet50_ewconplus_wzc_seed2_2__323	.967
69	convnext_femto_ols:d1_in1k	.966
70	resnet_101_v2	.959
71	cv_18_dagger_408_pretrained	.958
72	resnet_50_v1_spiking_l4a	.958
73	Res2Net50_26w_4s	.956
74	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.953
75	resnet50_byol_linhead	.952
76	resnet_SIN_IN_FT_IN	.950
77	resnet50-SIN_IN_IN	.950
78	AdvProp_efficientnet-b8	.949
79	resnet_152_v2	.949
80	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.949
81	resnet50_st_wzc_seed7_2_323	.937
82	resnet50_st_wzc_seed3_2_323	.936
83	seresnext50_32x4d	.935
84	grcnn	.933
85	resnet152_imagenet_full	.929
86	grcnn_109	.928
87	pnasnet_large_halfPrecision	.925
88	effnetb1_272x240	.924
89	deit_base_imagenet_full_seed-0	.919
90	resnet50_st_wzc_seed6_2_323	.915
91	vit_relpos_base_patch16_clsgap_224:sw_in1k	.907
92	deit_large_imagenet_full_seed-0	.907
93	cvt_cvt-13-224-in1k_4_LucyV4	.905
94	mehrer2020_alexnet_training_seed_05	.904
95	convnext_base_fb_in1k_gram_aligned_dinov3	.901
96	deit3_base_patch16_224_fb_in1k	.897
97	convnext_tiny_imagenet_full_seed-0	.890
98	resnet50_robust_l2_eps3	.889
99	imagenet_l2_3_0	.889
100	resnet-50-robust	.889
101	alexnet_training_seed_07	.888
102	regnety_032	.887
103	resnext101_32x8d_wsl	.887
104	deit3_base_patch16_224_fb_in22k_ft_in1k	.885
105	mobilenet_v2_1_4_224	.882
106	convnext_small_imagenet_full_seed-0	.880
107	resnet50-SIN	.867
108	convnext_tiny_sup	.865
109	convnext_large_imagenet_full_seed-0	.864
110	convnext_base_imagenet_full_seed-0	.862
111	resnext101_32x16d_wsl	.852
112	mehrer2020_alexnet_training_seed_02	.846
113	focalnet_tiny_lrf_in1k	.845
114	vit_base_patch16_clip_224:openai_ft_in1k	.843
115	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.841
116	alexnet	.836
117	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.828
118	mehrer2020_alexnet_training_seed_04	.826
119	mehrer2020_alexnet_training_seed_01	.823
120	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.821
121	resnext101_32x32d_wsl	.821
122	vit_large_patch14_clip_336:laion2b_ft_in1k	.817
123	mehrer2020_alexnet_training_seed_03	.809
124	convnext_base_fb_in1k	.805
125	convnext_base:clip_laiona_augreg_ft_in1k_384	.800
126	resnext101_32x48d_wsl	.796
127	convnext_tiny:in12k_ft_in1k	.795
128	vit_large_patch14_clip_224:laion2b_ft_in1k	.792
129	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.786
130	convnext_base_fb_in22k_ft_in1k	.775
131	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.766
132	vit_huge_clip336_laion	.763
133	vit_large_clip336_openai	.762
134	convnext_xlarge:fb_in22k_ft_in1k	.759
135	vit_large_patch14_clip_224:openai_ft_in1k	.755
136	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.748
137	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.739
138	convnext_large_clip_laion2b_finelayers	.737
139	convnext_large_in22k_supervised	.727
140	convnext_large:fb_in22k_ft_in1k	.725
141	mehrer2020_alexnet_training_seed_01_fov12	.724
142	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.714
143	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.713
144	convnext_xxlarge_clip	.703
145	dinov2_vitg14_lc	.702
146	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.699
147	dinov2_vitl14_lc_res336	.695
148	dinov2_vitl14_reg_lc	.695
149	dinov2_vitg14_reg_lc	.693
150	dinov2_vitl14_lc	.691
151	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.687
152	eva02_large_in22k	.679
153	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.670
154	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.640
155	mehrer2020_alexnet_training_seed_01_fov16	.559
156	AlexNet_SIN	.537
157	mehrer2020_alexnet_training_seed_01_fov4	.491
158	AlexNet_SIN_fov12	.474
159	AlexNet_SIN_fov16	.271
160	alexnet_training_seed_03	.000
161	dinov2_vitl14_reg_lc_featread
162	mobilenet_v2_1_0_128
163	gabor_filter_entropy_4x4_v2_forcedCosine
164	gabor_filter_entropy_4x4_v2
165	deepeisnn_ei_imagenet_resnet18
166	alexnet_training_seed_10
167	alexnet_training_seed_06
168	ReAlnet03_cornet
169	alexnet_training_seed_02
170	alexnet_training_seed_01
171	hmax
172	ReAlnet01_cornet
173	compact_resnet50_robust_V4
174	VOneCORnet-S
175	ReAlnet04_cornet
176	ReAlnet01_cornet_fov4

Benchmark bibtex

None

Ceiling

0.90.

Note that scores are relative to this ceiling.

Data: Kato2026Fil

Metric: accuracy_distance