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("Kato2026LinFil-accuracy_distance")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnext101_32x16d_wsl	1.0
2	resnext101_32x32d_wsl	1.0
3	vit_large_patch14_clip_224:laion2b_ft_in1k	1.0
4	vit_large_patch14_clip_224:openai_ft_in1k	1.0
5	vit_large_clip336_openai	1.0
6	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	1.0
7	convnext_base:clip_laiona_augreg_ft_in1k_384	1.0
8	convnext_large:fb_in22k_ft_in1k	1.0
9	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	1.0
10	convnext_large_in22k_supervised	1.0
11	vit_huge_clip336_laion	1.0
12	convnext_xlarge:fb_in22k_ft_in1k	1.0
13	vit_large_patch14_clip_336:openai_ft_in12k_in1k	1.0
14	resnext101_32x48d_wsl	1.0
15	convnext_base_fb_in22k_ft_in1k	1.0
16	resnext101_32x8d_wsl	1.0
17	convnext_large_clip_laion2b_finelayers	1.0
18	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.986
19	vit_large_patch14_clip_336:laion2b_ft_in1k	.983
20	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.970
21	convnext_base_fb_in1k_gram_aligned_dinov3	.935
22	convnext_base_fb_in1k	.920
23	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.911
24	vit_base_patch16_clip_224:openai_ft_in1k	.904
25	convnext_base_imagenet_full_seed-0	.901
26	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.881
27	eva02_large_in22k	.881
28	convnext_large_imagenet_full_seed-0	.880
29	convnext_small_imagenet_full_seed-0	.879
30	alexnet_training_seed_03	.877
31	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.877
32	regnety_032	.875
33	deit3_base_patch16_224_fb_in1k	.867
34	AdvProp_efficientnet-b4	.864
35	dinov2_vitl14_lc_res336	.862
36	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.862
37	convnext_tiny:in12k_ft_in1k	.857
38	dinov2_vitl14_lc	.853
39	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.851
40	deit3_base_patch16_224_fb_in22k_ft_in1k	.850
41	AdvProp_efficientnet-b7	.839
42	convnext_tiny_imagenet_full_seed-0	.829
43	vit_relpos_base_patch16_clsgap_224:sw_in1k	.825
44	resnet50-SIN	.818
45	AdvProp_efficientnet-b6	.818
46	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.817
47	focalnet_tiny_lrf_in1k	.816
48	convnext_xxlarge_clip	.802
49	cvt_cvt-13-224-in1k_4_LucyV4	.793
50	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.792
51	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.786
52	AdvProp_efficientnet-b2	.785
53	AT_efficientnet-b2	.785
54	seresnext50_32x4d	.780
55	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.778
56	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.776
57	convnext_tiny_sup	.767
58	AdvProp_efficientnet-b8	.762
59	deit_large_imagenet_full_seed-0	.755
60	dinov2_vitl14_reg_lc	.751
61	pnasnet_large_halfPrecision	.737
62	densenet-201	.733
63	resnet50_st_wzc_2	.733
64	resnet50_vicreg_linhead	.731
65	resnet50-SIN_IN_IN	.730
66	resnet_SIN_IN_FT_IN	.730
67	cv_18_dagger_408_pretrained	.727
68	resnet50-vitoimagevidnet8	.724
69	resnet50-VITO-8deg-cc	.724
70	mobilenet_v2_1_4_224	.723
71	AlexNet_SIN_fov12	.716
72	cvt_cvt-21-384-in1k_4_LucyV4	.713
73	resnet50-SIN_IN	.711
74	deit_base_imagenet_full_seed-0	.710
75	antialiased-r50	.710
76	convnext_femto_ols:d1_in1k	.710
77	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.710
78	cvt_cvt-13-384-in1k_4_LucyV4	.705
79	densenet-121	.705
80	resnet50_hvs_wzc	.703
81	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.703
82	resnet50_simclr_linhead_01norm	.701
83	resnet152_imagenet_full	.699
84	resnet50_ewconplus_wzc_seed2_2__323	.698
85	antialias-resnet152	.698
86	resnet_101_v1	.697
87	vonegrcnn_47e	.694
88	resnet50-moclr8deg	.694
89	custom_model_cv_18_dagger_408	.693
90	voneresnet-50-robust	.692
91	resnet50_barlowtwins_linhead	.692
92	ViT_L_32_imagenet1k	.691
93	resnet50_robust_l2_eps1	.690
94	effnetb1_272x240	.690
95	resnet50_simsiam_linhead	.690
96	resnet_50_v1_spiking_l4a	.688
97	blt_vs	.687
98	resnet50_ewconplus_wzc	.687
99	Res2Net50_26w_4s	.685
100	voneresnet-50-non_stochastic	.685
101	resnet50_st_wzc_seed6_2_323	.684
102	resnet50_ewconplus_wzc_seed6_2_323	.683
103	grcnn_109	.683
104	resnet50_robust_l2_eps3	.683
105	imagenet_l2_3_0	.683
106	resnet-50-robust	.683
107	deit_small_imagenet_full_seed-0	.683
108	grcnn	.682
109	mehrer2020_alexnet_training_seed_01_fov12	.681
110	vonegrcnn_62e_nobn	.681
111	resnet50_byol_linhead	.681
112	cvt_cvt-21-224-in1k_4_LucyV4	.679
113	resnet50_ewconplus_wzc_seed5_2__323	.679
114	resnet50_st_wzc_seed3_2_323	.678
115	inception_v3	.678
116	resnet_101_v2	.677
117	resnet_50_v1_spiking	.676
118	dinov2_vitg14_lc	.673
119	nasnet_mobile	.673
120	voneresnet-50	.672
121	resnet50_imagenet_full	.671
122	resnet18_imagenet_full	.669
123	resnet50_st_wzc_seed7_2_323	.669
124	efficientnet_b1_imagenet_full	.668
125	resnet_50_v2	.668
126	efficientnet_b2_imagenet_full	.665
127	efficientnet_b0	.665
128	ijepa_vith14_linhead	.665
129	resnet_50_v1	.664
130	resnet50_tutorial	.664
131	resnet50-sup	.664
132	ReAlnet04	.655
133	ReAlnet09	.655
134	resnet101_imagenet_full	.654
135	ReAlnet10	.653
136	vgg_16	.652
137	resnet34_imagenet_full	.652
138	resnet_152_v2	.651
139	ReAlnet08	.650
140	ReAlnet07	.648
141	eicircuit_resnet18_bn_20260919	.644
142	shufflenet_v2_x1_0	.643
143	mehrer2020_alexnet_training_seed_02	.640
144	dinov2_vitg14_reg_lc	.639
145	efficientnet_b0_imagenet_full	.639
146	mehrer2020_alexnet_training_seed_05	.633
147	convnext_small_imagenet_100_seed-0	.631
148	mehrer2020_alexnet_training_seed_01_fov16	.628
149	mehrer2020_alexnet_training_seed_03	.623
150	AlexNet_SIN	.623
151	mehrer2020_alexnet_training_seed_01	.623
152	mehrer2020_alexnet_training_seed_04	.618
153	AlexNet_SIN_fov16	.609
154	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.608
155	alexnet	.603
156	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.572
157	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.504
158	mehrer2020_alexnet_training_seed_01_fov4	.408
159	alexnet_training_seed_07	.055
160	alexnet_training_seed_09	.000
161	mobilenet_v2_1_0_128
162	gabor_filter_entropy_4x4_v2_forcedCosine
163	gabor_filter_entropy_4x4_v2
164	dinov2_vitl14_reg_lc_featread
165	deepeisnn_ei_imagenet_resnet18
166	alexnet_training_seed_10
167	alexnet_training_seed_06
168	alexnet_training_seed_02
169	alexnet_training_seed_01
170	hmax
171	ReAlnet01_cornet
172	compact_resnet50_robust_V4
173	VOneCORnet-S
174	ReAlnet03_cornet
175	ReAlnet04_cornet
176	ReAlnet01_cornet_fov4

Benchmark bibtex

None

Ceiling

0.91.

Note that scores are relative to this ceiling.

Data: Kato2026LinFil

Metric: accuracy_distance