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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("BMD2024.texture_2Behavioral-accuracy_distance")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	convnext_xxlarge:clip_laion2b_soup_ft_in1k	1.0
2	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.971
3	vit_large_patch14_clip_224:laion2b_ft_in1k	.952
4	vit_large_patch14_clip_336:laion2b_ft_in1k	.913
5	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.892
6	vit_large_patch14_clip_224:openai_ft_in1k	.882
7	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.850
8	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.840
9	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.672
10	convnext_base:clip_laiona_augreg_ft_in1k_384	.609
11	resnext101_32x48d_wsl	.577
12	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.504
13	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.462
14	convnext_xlarge:fb_in22k_ft_in1k	.441
15	AdvProp_efficientnet-b6	.430
16	resnext101_32x32d_wsl	.430
17	AdvProp_efficientnet-b7	.430
18	convnext_large:fb_in22k_ft_in1k	.420
19	resnext101_32x16d_wsl	.409
20	AdvProp_efficientnet-b4	.409
21	AdvProp_efficientnet-b8	.399
22	resnext101_32x8d_wsl	.378
23	blt_vs	.367
24	mobilenet_v2_0_5_192	.357
25	vit_base_patch16_clip_224:openai_ft_in1k	.336
26	mobilenet_v2_0_75_192	.325
27	inception_v4	.325
28	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.315
29	inception_v3_pytorch	.315
30	resnet50_robust_l2_eps1	.304
31	efficientnet_b0_imagenet_full	.294
32	convnext_large_imagenet_full_seed-0	.294
33	resnet-50-robust	.283
34	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.283
35	grcnn_109	.283
36	resnet_101_v1	.283
37	imagenet_l2_3_0	.283
38	resnet50_robust_l2_eps3	.283
39	densenet-201	.273
40	mobilenet_v2_0_75_160	.273
41	densenet_201_pytorch	.273
42	resnet18_imagenet_full	.273
43	Res2Net50_26w_4s	.273
44	BiT-S-R101x1	.273
45	mobilenet_v2_1_0_128	.262
46	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.252
47	cvt_cvt-21-384-in1k_4_LucyV4	.252
48	vonegrcnn_62e_nobn	.252
49	ReAlnet07	.241
50	ReAlnet08	.241
51	deit_large_imagenet_full_seed-0	.241
52	vit_relpos_base_patch16_clsgap_224:sw_in1k	.241
53	convnext_base_imagenet_full_seed-0	.241
54	voneresnet-50	.241
55	vonegrcnn_47e	.241
56	AdvProp_efficientnet-b2	.241
57	AT_efficientnet-b2	.241
58	deit_small_imagenet_full_seed-0	.231
59	ReAlnet04	.231
60	vonegrcnn_52e_full	.231
61	mobilenet_v2_0_75_224	.220
62	cvt_cvt-21-224-in1k_4_LucyV4	.220
63	alexnet_fov4	.220
64	mobilenet_v2_0_5_224	.220
65	convnext_small_imagenet_full_seed-0	.220
66	focalnet_tiny_lrf_in1k	.220
67	voneresnet-50-non_stochastic	.220
68	AlexNet_SIN_fov4	.220
69	mobilenet_v2_1_0_224	.220
70	antialiased-r50	.220
71	convnext_tiny:in12k_ft_in1k	.210
72	effnetb1_272x240	.210
73	AlexNet_SIN	.210
74	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.210
75	convnext_tiny_imagenet_full_seed-0	.210
76	nasnet_large	.210
77	shufflenet_v2_x1_0	.210
78	resnet_101_v2	.210
79	voneresnet-50-robust	.210
80	ReAlnet01	.210
81	inception_v1	.210
82	ReAlnet02	.210
83	inception_v3	.199
84	mobilenet_v2_1_0_160	.199
85	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.199
86	regnet_y_400mf	.199
87	cvt_cvt-13-384-in1k_4_LucyV4	.199
88	resnet50-SIN_IN	.199
89	BiT-S-R50x3	.199
90	resnet_50_v1_spiking	.189
91	ReAlnet09	.189
92	ReAlnet10	.189
93	custom_model_cv_18_dagger_408	.189
94	efficientnet_b2_imagenet_full	.189
95	nasnet_mobile	.189
96	BiT-S-R152x4	.189
97	ReAlnet03	.189
98	resnet50_tutorial	.178
99	mobilenet_v2_1_0_192	.178
100	cv_18_dagger_408_pretrained	.178
101	resnet50_imagenet_100_seed-0	.178
102	antialias-resnet152	.178
103	resnet152_imagenet_full	.178
104	deit_base_imagenet_full_seed-0	.178
105	resnet50-VITO-8deg-cc	.178
106	resnet50-barlow	.178
107	grcnn	.178
108	resnet50-vitoimagevidnet8	.178
109	resnet_50_v1	.178
110	resnet50-sup	.178
111	BiT-S-R50x1	.178
112	densenet-121	.178
113	convnext_femto_ols:d1_in1k	.178
114	ReAlnet06	.168
115	alexnet_ks_torevert	.168
116	alexnet	.168
117	deit_small_imagenet_100_seed-0	.168
118	resnet50-SIN	.168
119	BiT-S-R101x3	.168
120	densenet-169	.168
121	resnet_152_v1	.168
122	resnet50_eMMCR_Vanilla	.157
123	vgg_16	.157
124	AlexNet_SIN_fov16	.157
125	ReAlnet05	.147
126	resnet50_imagenet_full	.147
127	resnet50_imagenet_1_seed-0	.147
128	tv_efficientnet-b1	.147
129	efficientnet_b1_imagenet_full	.147
130	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.147
131	cvt_cvt-13-224-in1k_4_LucyV4	.147
132	resnet_50_v1_spiking_l4	.136
133	bp_resnet50_julios	.136
134	convnext_small_imagenet_100_seed-0	.136
135	resnet101_imagenet_full	.126
136	pnasnet_large	.126
137	mobilenet_v2_1_3_224	.126
138	artResNet18_1	.126
139	convnext_tiny_sup	.126
140	alexnet_training_seed_03	.126
141	resnet50_ewconplus_wzc	.115
142	alexnet_training_seed_04	.115
143	resnet34_imagenet_full	.115
144	resnet50-SIN_IN_IN	.115
145	xception	.115
146	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.115
147	efficientnet_b0	.115
148	resnet_SIN_IN_FT_IN	.115
149	BiT-S-R152x2	.115
150	resnet_50_v2	.115
151	convnext_small_imagenet_1_seed-0	.105
152	alexnet_training_seed_05	.105
153	alexnet_training_seed_06	.105
154	alexnet_training_seed_02	.105
155	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.105
156	alexnet_training_seed_08	.105
157	alexnet_training_seed_10	.105
158	ViT_L_32_imagenet1k	.105
159	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.105
160	resnet-152_v2_pytorch	.105
161	pnasnet_large_pytorch	.105
162	convnext_small_imagenet_10_seed-0	.105
163	deit_small_imagenet_10_seed-0	.105
164	deit_small_imagenet_1_seed-0	.105
165	resnet_50_v1_spiking_l3	.105
166	resnet50-moclr8deg	.105
167	resnet_152_v2	.105
168	alexnet_training_seed_01_fov12	.105
169	alexnet_training_seed_01_fov16	.105
170	resnet50-vicregl0p75	.105
171	resnet50-vicregl0p9	.105
172	alexnet_training_seed_09	.105
173	alexnet_fov16	.094
174	AlexNet_SIN_fov12	.084
175	vgg_19	.084
176	alexnet_training_seed_01_fov4	.084
177	resnet_50_v1_spiking_l4a	.073
178	alexnet_fov12	.073
179	mobilenet_v2_1-4_224_pytorch	.073
180	alexnet_training_seed_07	.073
181	alexnet_training_seed_01	.073
182	resnet50_imagenet_10_seed-0	.073
183	mobilenet_v2_1_4_224	.073
184	yudixie_resnet50_cat_obj_class_all_latents_0_240908
185	ReAlnet06_ALL
186	ReAlnet07_cornet
187	ReAlnet08_cornet
188	yudixie_resnet50_category_class_0_240908
189	yudixie_resnet50_distance_reg_0_240908
190	briaai_rmbg_1_4
191	yolos_tiny
192	hmax
193	ReAlnet01_cornet
194	antialiased-rnext101_32x8d
195	resnet18_imagenet21kP
196	ConvLSTM
197	PredRNN
198	TAU
199	MIM
200	SimVP
201	yudixie_resnet18_distance_translation_rotation_0_240719
202	compact_resnet50_V4
203	ReAlnet03_cornet
204	ReAlnet02_cornet
205	yudixie_resnet50_distance_rotation_0_240908
206	resnet18_ecoset_full
207	compact_resnet50_IT
208	resnet34_ecoset_full
209	ReAlnet01_cornet_fov4
210	ReAlnet04_cornet
211	resnet50_ecoset_full
212	ReAlnet01_cornet_fov12
213	resnet101_ecoset_full
214	yudixie_resnet50_translation_reg_0_240908
215	resnet152_ecoset_full
216	compact_vgg19_V4
217	yudixie_resnet18_distance_translation_0_240719
218	omnivore_swinB
219	ReAlnet05_cornet
220	yudixie_resnet50_rotation_reg_0_240908
221	yudixie_resnet18_translation_rotation_0_240719
222	yudixie_resnet18_distance_rotation_0_240719
223	yudixie_resnet50_distance_translation_0_240908
224	yudixie_resnet18_category_class_0_240719
225	resnet-18_test_m
226	yudixie_resnet18_random_0_240719
227	yudixie_resnet18_cat_obj_class_all_latents_0_240719
228	ReAlnet06_cornet
229	yudixie_resnet18_object_class_0_240719
230	yudixie_resnet18_rotation_reg_0_240719
231	yudixie_resnet18_imagenet1kpret_0_240719
232	yudixie_resnet18_translation_reg_0_240719
233	yudixie_resnet18_distance_reg_0_240719
234	efficientnet-b7
235	compact_resnet50_robust_V4
236	ReAlnet01_cornet_fov16
237	ReAlnet01_ALL
238	yudixie_resnet50_translation_rotation_0_240908
239	VOneCORnet-S
240	ReAlnet02_ALL
241	resnet50-vicreg
242	compact_cornets_V4
243	ReAlnet03_ALL
244	ReAlnet09_cornet
245	ReAlnet04_ALL
246	compact_cornets_IT
247	omnivore_swinS
248	ReAlnet05_ALL
249	ReAlnet10_cornet
250	compact_vgg19_IT
251	yudixie_resnet50_imagenet1kpret_0_240908
252	ReAlnet07_ALL
253	yudixie_resnet50_random_0_240908
254	yudixie_resnet50_distance_translation_rotation_0_240908
255	compact_resnet50_robust_IT
256	ReAlnet08_ALL
257	yudixie_resnet50_object_class_0_240908
258	ReAlnet09_ALL
259	resnet50_primary_visual_cortex
260	ReAlnet10_ALL

Benchmark bibtex

None

Ceiling

0.97.

Note that scores are relative to this ceiling.

Data: BMD2024.texture_2Behavioral

Metric: accuracy_distance