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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("BMD2024.texture_1Behavioral-accuracy_distance")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	eva02_large_in22k	1.0
2	convnext_xxlarge_clip	.998
3	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.998
4	vit_large_patch14_clip_224:laion2b_ft_in1k	.991
5	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.951
6	vit_large_patch14_clip_336:laion2b_ft_in1k	.941
7	vit_large_patch14_clip_224:openai_ft_in1k	.941
8	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.930
9	vit_huge_clip336_laion	.868
10	vit_large_clip336_openai	.858
11	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.858
12	dinov2_vitg14_reg_lc	.817
13	resnext101_32x48d_wsl	.817
14	dinov2_vitg14_lc	.806
15	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.775
16	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.765
17	dinov2_vitl14_reg_lc	.755
18	convnext_large_clip_laion2b_finelayers	.724
19	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.713
20	dinov2_vitl14_lc_res336	.620
21	convnext_base:clip_laiona_augreg_ft_in1k_384	.600
22	resnext101_32x8d_wsl	.579
23	resnext101_32x16d_wsl	.558
24	convnext_base_fb_in1k	.507
25	convnext_base_fb_in22k_ft_in1k	.496
26	dinov2_vitl14_lc	.476
27	AdvProp_efficientnet-b8	.455
28	AdvProp_efficientnet-b7	.445
29	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.434
30	convnext_xlarge:fb_in22k_ft_in1k	.424
31	convnext_large:fb_in22k_ft_in1k	.413
32	vit_base_patch16_clip_224:openai_ft_in1k	.382
33	mobilenet_v2_1_0_160	.372
34	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.362
35	AdvProp_efficientnet-b6	.351
36	regnety_032	.341
37	convnext_large_in22k_supervised	.341
38	blt_vs	.341
39	densenet-201	.331
40	densenet_201_pytorch	.331
41	resnet50_robust_l2_eps1	.320
42	mobilenet_v2_0_75_192	.310
43	mobilenet_v2_0_5_192	.310
44	convnext_small_imagenet_full_seed-0	.310
45	grcnn_109	.300
46	AT_efficientnet-b2	.289
47	AdvProp_efficientnet-b2	.289
48	AdvProp_efficientnet-b4	.289
49	mobilenet_v2_1_0_224	.279
50	mobilenet_v2_1_0_128	.279
51	shufflenet_v2_x1_0	.279
52	regnet_y_400mf	.279
53	deit3_base_patch16_224_fb_in1k	.269
54	resnet_101_v2	.269
55	nasnet_large	.269
56	convnext_tiny:in12k_ft_in1k	.269
57	resnet50_robust_l2_eps3	.269
58	imagenet_l2_3_0	.269
59	resnet-50-robust	.269
60	convnext_base_fb_in1k_gram_aligned_dinov3	.258
61	convnext_base_imagenet_full_seed-0	.258
62	convnext_tiny_imagenet_full_seed-0	.258
63	inception_v3_pytorch	.258
64	mehrer2020_alexnet_training_seed_01	.248
65	deit3_base_patch16_224_fb_in22k_ft_in1k	.248
66	resnet50_st_wzc_seed3_2_323	.248
67	mobilenet_v2_0_75_160	.248
68	deit_base_imagenet_full_seed-0	.248
69	cvt_cvt-21-224-in1k_4_LucyV4	.248
70	cvt_cvt-13-224-in1k_4_LucyV4	.248
71	antialias-resnet152	.248
72	mobilenet_v2_1_0_192	.238
73	inception_v4	.238
74	grcnn	.238
75	Res2Net50_26w_4s	.238
76	cvt_cvt-21-384-in1k_4_LucyV4	.238
77	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.238
78	resnet18_imagenet_full	.238
79	resnext101_32x32d_wsl	.238
80	effnetb1_272x240	.238
81	resnet50_st_wzc_seed7_2_323	.227
82	resnet50_ewconplus_wzc_seed2_2__323	.227
83	mobilenet_v2_0_5_224	.227
84	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.227
85	antialiased-r50	.227
86	efficientnet_b0_imagenet_full	.227
87	resnet50_imagenet_100_seed-0	.227
88	resnet152_imagenet_full	.227
89	alexnet_fov4	.227
90	mobilenet_v2_1_4_224	.217
91	mobilenet_v2_0_75_224	.217
92	resnet_101_v1	.217
93	inception_v3	.217
94	ReAlnet04	.217
95	voneresnet-50	.217
96	resnet50-vitoimagevidnet8	.217
97	resnet50-VITO-8deg-cc	.217
98	mobilenet_v2_1-4_224_pytorch	.217
99	seresnext50_32x4d	.207
100	vonegrcnn_62e_nobn	.207
101	ReAlnet09	.207
102	BiT-S-R50x1	.207
103	BiT-S-R101x3	.207
104	deit_large_imagenet_full_seed-0	.207
105	resnet34_imagenet_full	.207
106	AlexNet_SIN_fov4	.207
107	resnet50_st_wzc_2	.207
108	AlexNet_SIN	.207
109	tv_efficientnet-b1	.207
110	mehrer2020_alexnet_training_seed_05	.196
111	mehrer2020_alexnet_training_seed_03	.196
112	resnet_50_v1_spiking	.196
113	resnet_50_v2	.196
114	nasnet_mobile	.196
115	ReAlnet10	.196
116	ReAlnet08	.196
117	ReAlnet07	.196
118	ReAlnet02	.196
119	vit_relpos_base_patch16_clsgap_224:sw_in1k	.196
120	vonegrcnn_47e	.196
121	resnet50_byol_linhead	.186
122	mehrer2020_alexnet_training_seed_04	.186
123	resnet50_ewconplus_wzc_seed6_2_323	.186
124	resnet_152_v1	.186
125	ReAlnet01	.186
126	voneresnet-50-robust	.186
127	vonegrcnn_52e_full	.186
128	efficientnet_b2_imagenet_full	.186
129	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.186
130	alexnet_ks_torevert	.186
131	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.186
132	alexnet	.186
133	resnet_50_v1	.176
134	vgg_16	.176
135	ReAlnet03	.176
136	resnet50-SIN_IN	.176
137	resnet50-sup	.176
138	deit_small_imagenet_full_seed-0	.176
139	resnet50_tutorial	.176
140	efficientnet_b1_imagenet_full	.176
141	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.176
142	cv_18_dagger_408_pretrained	.176
143	focalnet_tiny_lrf_in1k	.176
144	custom_model_cv_18_dagger_408	.176
145	resnet50_ewconplus_wzc_seed5_2__323	.165
146	inception_v1	.165
147	densenet-121	.165
148	convnext_large_imagenet_full_seed-0	.165
149	voneresnet-50-non_stochastic	.165
150	resnet50_ewconplus_wzc	.165
151	resnet50_hvs_wzc	.165
152	mehrer2020_alexnet_training_seed_02	.155
153	eicircuit_resnet18_bn_20260919	.155
154	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.155
155	resnet50_st_wzc_seed6_2_323	.155
156	ReAlnet06	.155
157	resnet50-SIN	.155
158	bp_resnet50_julios	.155
159	ReAlnet05	.145
160	resnet50-SIN_IN_IN	.145
161	densenet-169	.145
162	convnext_tiny_sup	.145
163	resnet_SIN_IN_FT_IN	.145
164	cvt_cvt-13-384-in1k_4_LucyV4	.145
165	resnet101_imagenet_full	.145
166	resnet50_vicreg_linhead	.134
167	resnet50_barlowtwins_linhead	.134
168	mehrer2020_alexnet_training_seed_01_fov4	.134
169	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.134
170	efficientnet_b0	.134
171	resnet50_imagenet_1_seed-0	.134
172	resnet-152_v2_pytorch	.134
173	resnet50_eMMCR_Vanilla	.134
174	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.134
175	resnet_50_v1_spiking_l4	.124
176	mobilenet_v2_1_3_224	.124
177	resnet50-moclr8deg	.124
178	convnext_femto_ols:d1_in1k	.124
179	BiT-S-R101x1	.124
180	BiT-S-R50x3	.124
181	resnet50_imagenet_full	.124
182	ViT_L_32_imagenet1k	.124
183	ijepa_vith14_linhead	.114
184	resnet_50_v1_spiking_l4a	.114
185	xception	.114
186	alexnet_training_seed_04	.114
187	resnet_152_v2	.114
188	BiT-S-R152x2	.114
189	convnext_small_imagenet_10_seed-0	.114
190	AlexNet_SIN_fov16	.114
191	pnasnet_large_pytorch	.114
192	resnet50_simclr_linhead_01norm	.103
193	resnet50_simsiam_linhead	.103
194	mehrer2020_alexnet_training_seed_01_fov16	.103
195	mehrer2020_alexnet_training_seed_01_fov12	.103
196	resnet_50_v1_spiking_l3	.103
197	alexnet_training_seed_10	.103
198	alexnet_training_seed_08	.103
199	alexnet_training_seed_02	.103
200	alexnet_training_seed_06	.103
201	alexnet_training_seed_05	.103
202	alexnet_training_seed_09	.103
203	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.103
204	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.103
205	resnet50-vicregl0p9	.103
206	resnet50-vicregl0p75	.103
207	BiT-S-R152x4	.103
208	convnext_small_imagenet_1_seed-0	.103
209	deit_small_imagenet_1_seed-0	.103
210	deit_small_imagenet_10_seed-0	.103
211	alexnet_training_seed_01_fov16	.103
212	alexnet_fov16	.103
213	alexnet_training_seed_03	.093
214	vgg_19	.093
215	resnet50-barlow	.093
216	artResNet18_1	.093
217	convnext_small_imagenet_100_seed-0	.093
218	deit_small_imagenet_100_seed-0	.093
219	resnet50_imagenet_10_seed-0	.093
220	alexnet_fov12	.093
221	pnasnet_large_halfPrecision	.083
222	pnasnet_large	.083
223	alexnet_training_seed_07	.083
224	alexnet_training_seed_01_fov12	.083
225	AlexNet_SIN_fov12	.083
226	alexnet_training_seed_01	.072
227	alexnet_training_seed_01_fov4	.072
228	resnet50_ecoset_full
229	resnet18_ecoset_full
230	ReAlnet09_cornet
231	ReAlnet01_cornet_fov16
232	gabor_filter_mean_abs_4x4_v2
233	gabor_filter_entropy_4x4_v2_forcedCosine
234	gabor_filter_entropy_4x4_v2
235	gabor_filter_entropy_4x4
236	dinov2_vitl14_reg_lc_featread
237	deepeisnn_ei_imagenet_resnet18
238	deepeisnn_ei_cifar10_resnet18
239	deepeisnn_ei_cifar10_vgg19
240	yudixie_wbh_object_class_scaling_0415_run_1
241	yudixie_wbh_object_class_scaling_0415_run_2
242	yudixie_wbh_object_class_scaling_0415_imagenet
243	yudixie_wbh_object_class_scaling_0415_run_3
244	yudixie_wbh_object_class_scaling_0415_run_0
245	predictive_coding_pc
246	pr1_stl10_disentangled_alpha04
247	resnet18_fair
248	vit_base_patch16_dinov3-lvd1689m
249	vit_base_patch14_reg4_dinov2-lvd142m
250	vit_base_patch14_dinov2-lvd142m
251	ReAlnet10_ALL
252	ReAlnet09_ALL
253	ReAlnet07_ALL
254	ReAlnet05_ALL
255	ReAlnet04_ALL
256	ReAlnet03_ALL
257	ReAlnet02_ALL
258	ReAlnet01_ALL
259	resnet50_primary_visual_cortex
260	yolos_tiny
261	briaai_rmbg_1_4
262	yudixie_resnet50_distance_reg_0_240908
263	yudixie_resnet50_category_class_0_240908
264	yudixie_resnet50_object_class_0_240908
265	yudixie_resnet50_imagenet1kpret_0_240908
266	yudixie_resnet50_cat_obj_class_all_latents_0_240908
267	yudixie_resnet50_random_0_240908
268	yudixie_resnet50_distance_translation_rotation_0_240908
269	ReAlnet10_cornet
270	ReAlnet08_cornet
271	ReAlnet07_cornet
272	ReAlnet06_cornet
273	ReAlnet05_cornet
274	ReAlnet04_cornet
275	ReAlnet03_cornet
276	ReAlnet02_cornet
277	ReAlnet01_cornet
278	yudixie_resnet50_translation_rotation_0_240908
279	yudixie_resnet50_distance_translation_0_240908
280	yudixie_resnet50_translation_reg_0_240908
281	yudixie_resnet50_distance_rotation_0_240908
282	yudixie_resnet50_rotation_reg_0_240908
283	resnet50-vicreg
284	efficientnet-b7
285	resnet-18_test_m
286	omnivore_swinS
287	omnivore_swinB
288	VOneCORnet-S
289	yudixie_resnet18_distance_reg_0_240719
290	yudixie_resnet18_translation_reg_0_240719
291	yudixie_resnet18_imagenet1kpret_0_240719
292	yudixie_resnet18_rotation_reg_0_240719
293	yudixie_resnet18_object_class_0_240719
294	yudixie_resnet18_distance_translation_rotation_0_240719
295	yudixie_resnet18_cat_obj_class_all_latents_0_240719
296	yudixie_resnet18_random_0_240719
297	yudixie_resnet18_category_class_0_240719
298	yudixie_resnet18_distance_rotation_0_240719
299	yudixie_resnet18_translation_rotation_0_240719
300	yudixie_resnet18_distance_translation_0_240719
301	resnet152_ecoset_full
302	resnet101_ecoset_full
303	resnet34_ecoset_full
304	ReAlnet01_cornet_fov12
305	ReAlnet01_cornet_fov4
306	ReAlnet08_ALL
307	ReAlnet06_ALL
308	compact_resnet50_robust_IT
309	compact_cornets_IT
310	compact_cornets_V4
311	compact_resnet50_robust_V4
312	compact_vgg19_IT
313	compact_vgg19_V4
314	compact_resnet50_IT
315	compact_resnet50_V4
316	ConvLSTM
317	MIM
318	TAU
319	SimVP
320	resnet18_imagenet21kP
321	PredRNN
322	antialiased-rnext101_32x8d
323	hmax

Benchmark bibtex

None

Ceiling

0.98.

Note that scores are relative to this ceiling.

Data: BMD2024.texture_1Behavioral

Metric: accuracy_distance