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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Kato2026Tex-accuracy_distance")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnext101_32x8d_wsl	1.0
2	resnext101_32x48d_wsl	1.0
3	regnety_032	1.0
4	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	1.0
5	resnext101_32x16d_wsl	1.0
6	efficientnet_b0	1.0
7	dinov2_vitl14_reg_lc	1.0
8	resnet_101_v1	1.0
9	dinov2_vitg14_reg_lc	1.0
10	dinov2_vitg14_lc	1.0
11	grcnn_109	1.0
12	vit_base_patch16_clip_224:openai_ft_in12k_in1k	1.0
13	resnet_SIN_IN_FT_IN	1.0
14	resnet50-SIN_IN_IN	1.0
15	resnet_50_v1_spiking	1.0
16	resnet_152_v2	1.0
17	Res2Net50_26w_4s	1.0
18	convnext_base_fb_in1k_gram_aligned_dinov3	1.0
19	convnext_xxlarge:clip_laion2b_soup_ft_in1k	1.0
20	efficientnet_b0_imagenet_full	1.0
21	vonegrcnn_47e	1.0
22	resnet101_imagenet_full	1.0
23	resnet_50_v1	1.0
24	resnet50_tutorial	1.0
25	resnet50-sup	1.0
26	blt_vs	1.0
27	effnetb1_272x240	1.0
28	deit_base_imagenet_full_seed-0	1.0
29	resnet50_st_wzc_2	1.0
30	efficientnet_b2_imagenet_full	1.0
31	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	1.0
32	seresnext50_32x4d	1.0
33	shufflenet_v2_x1_0	1.0
34	voneresnet-50-non_stochastic	1.0
35	efficientnet_b1_imagenet_full	1.0
36	densenet-121	1.0
37	deit_small_imagenet_full_seed-0	1.0
38	antialias-resnet152	1.0
39	resnet50_hvs_wzc	1.0
40	custom_model_cv_18_dagger_408	1.0
41	resnet152_imagenet_full	1.0
42	ijepa_vith14_linhead	1.0
43	resnet50_st_wzc_seed6_2_323	1.0
44	ReAlnet09	1.0
45	dinov2_vitl14_lc	1.0
46	resnet50_ewconplus_wzc_seed2_2__323	1.0
47	convnext_tiny_sup	1.0
48	densenet-201	1.0
49	resnet50-SIN_IN	1.0
50	vonegrcnn_62e_nobn	1.0
51	convnext_base_fb_in22k_ft_in1k	1.0
52	ReAlnet04	1.0
53	nasnet_mobile	1.0
54	resnext101_32x32d_wsl	1.0
55	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	1.0
56	cv_18_dagger_408_pretrained	1.0
57	grcnn	1.0
58	convnext_small_imagenet_full_seed-0	1.0
59	voneresnet-50	1.0
60	resnet50_st_wzc_seed3_2_323	1.0
61	antialiased-r50	1.0
62	resnet50_imagenet_full	1.0
63	convnext_tiny:in12k_ft_in1k	1.0
64	resnet_50_v2	1.0
65	focalnet_tiny_lrf_in1k	1.0
66	eicircuit_resnet18_bn_20260919	1.0
67	convnext_large_imagenet_full_seed-0	1.0
68	ReAlnet07	1.0
69	vit_large_patch14_clip_224:openai_ft_in1k	1.0
70	resnet50_robust_l2_eps1	1.0
71	resnet50-vitoimagevidnet8	1.0
72	resnet50-VITO-8deg-cc	1.0
73	ReAlnet08	1.0
74	cvt_cvt-13-384-in1k_4_LucyV4	1.0
75	mehrer2020_alexnet_training_seed_01_fov12	1.0
76	resnet_101_v2	1.0
77	resnet50_robust_l2_eps3	1.0
78	imagenet_l2_3_0	1.0
79	resnet-50-robust	1.0
80	deit3_base_patch16_224_fb_in22k_ft_in1k	1.0
81	alexnet	1.0
82	resnet50_barlowtwins_linhead	1.0
83	voneresnet-50-robust	1.0
84	convnext_xxlarge_clip	1.0
85	resnet50_simsiam_linhead	1.0
86	pnasnet_large_halfPrecision	1.0
87	deit3_base_patch16_224_fb_in1k	1.0
88	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	1.0
89	resnet50_byol_linhead	1.0
90	resnet50_st_wzc_seed7_2_323	1.0
91	mehrer2020_alexnet_training_seed_02	1.0
92	ReAlnet10	1.0
93	inception_v3	1.0
94	resnet50_ewconplus_wzc_seed5_2__323	1.0
95	convnext_tiny_imagenet_full_seed-0	1.0
96	mehrer2020_alexnet_training_seed_01_fov4	1.0
97	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	1.0
98	swin_small_patch4_window7_224:ms_in22k_ft_in1k	1.0
99	convnext_base:clip_laiona_augreg_ft_in1k_384	1.0
100	vit_large_patch14_clip_224:laion2b_ft_in1k	1.0
101	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	1.0
102	dinov2_vitl14_lc_res336	1.0
103	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	1.0
104	eva02_large_in22k	1.0
105	mehrer2020_alexnet_training_seed_03	1.0
106	convnext_femto_ols:d1_in1k	1.0
107	convnext_base_fb_in1k	1.0
108	convnext_small_imagenet_100_seed-0	.999
109	mehrer2020_alexnet_training_seed_01	.999
110	resnet50_vicreg_linhead	.999
111	convnext_large_clip_laion2b_finelayers	.999
112	vit_large_clip336_openai	.998
113	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.997
114	resnet_50_v1_spiking_l4a	.996
115	resnet34_imagenet_full	.996
116	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.995
117	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.993
118	resnet50_ewconplus_wzc_seed6_2_323	.989
119	ViT_L_32_imagenet1k	.986
120	mehrer2020_alexnet_training_seed_05	.985
121	resnet50_ewconplus_wzc	.984
122	mehrer2020_alexnet_training_seed_04	.983
123	resnet50-moclr8deg	.978
124	cvt_cvt-21-224-in1k_4_LucyV4	.978
125	AdvProp_efficientnet-b2	.977
126	AT_efficientnet-b2	.977
127	convnext_base_imagenet_full_seed-0	.975
128	convnext_large:fb_in22k_ft_in1k	.973
129	resnet18_imagenet_full	.972
130	deit_large_imagenet_full_seed-0	.969
131	vgg_16	.968
132	cvt_cvt-13-224-in1k_4_LucyV4	.968
133	alexnet_training_seed_03	.965
134	cvt_cvt-21-384-in1k_4_LucyV4	.964
135	convnext_xlarge:fb_in22k_ft_in1k	.962
136	AdvProp_efficientnet-b7	.959
137	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.958
138	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.957
139	AdvProp_efficientnet-b4	.956
140	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.951
141	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.951
142	resnet50_simclr_linhead_01norm	.950
143	convnext_large_in22k_supervised	.948
144	vit_relpos_base_patch16_clsgap_224:sw_in1k	.942
145	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.942
146	mobilenet_v2_1_4_224	.939
147	vit_huge_clip336_laion	.931
148	vit_base_patch16_clip_224:openai_ft_in1k	.931
149	vit_large_patch14_clip_336:laion2b_ft_in1k	.931
150	resnet50-SIN	.930
151	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.913
152	AlexNet_SIN	.908
153	AdvProp_efficientnet-b6	.905
154	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.888
155	AdvProp_efficientnet-b8	.882
156	AlexNet_SIN_fov12	.847
157	mehrer2020_alexnet_training_seed_01_fov16	.842
158	AlexNet_SIN_fov16	.828
159	alexnet_training_seed_07	.375
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_01
169	alexnet_training_seed_02
170	hmax
171	ReAlnet01_cornet
172	compact_resnet50_robust_V4
173	VOneCORnet-S
174	ReAlnet04_cornet
175	ReAlnet03_cornet
176	ReAlnet01_cornet_fov4

Benchmark bibtex

None

Ceiling

0.93.

Note that scores are relative to this ceiling.

Data: Kato2026Tex

Metric: accuracy_distance