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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	convnext_large_in22k_supervised	.341
37	blt_vs	.341
38	densenet-201	.331
39	densenet_201_pytorch	.331
40	resnet50_robust_l2_eps1	.320
41	mobilenet_v2_0_75_192	.310
42	mobilenet_v2_0_5_192	.310
43	convnext_small_imagenet_full_seed-0	.310
44	grcnn_109	.300
45	AT_efficientnet-b2	.289
46	AdvProp_efficientnet-b2	.289
47	AdvProp_efficientnet-b4	.289
48	mobilenet_v2_1_0_224	.279
49	mobilenet_v2_1_0_128	.279
50	shufflenet_v2_x1_0	.279
51	regnet_y_400mf	.279
52	deit3_base_patch16_224_fb_in1k	.269
53	resnet_101_v2	.269
54	nasnet_large	.269
55	convnext_tiny:in12k_ft_in1k	.269
56	resnet50_robust_l2_eps3	.269
57	imagenet_l2_3_0	.269
58	resnet-50-robust	.269
59	convnext_base_fb_in1k_gram_aligned_dinov3	.258
60	convnext_base_imagenet_full_seed-0	.258
61	convnext_tiny_imagenet_full_seed-0	.258
62	inception_v3_pytorch	.258
63	deit3_base_patch16_224_fb_in22k_ft_in1k	.248
64	resnet50_st_wzc_seed3_2_323	.248
65	mobilenet_v2_0_75_160	.248
66	deit_base_imagenet_full_seed-0	.248
67	cvt_cvt-21-224-in1k_4_LucyV4	.248
68	cvt_cvt-13-224-in1k_4_LucyV4	.248
69	antialias-resnet152	.248
70	mobilenet_v2_1_0_192	.238
71	inception_v4	.238
72	grcnn	.238
73	Res2Net50_26w_4s	.238
74	cvt_cvt-21-384-in1k_4_LucyV4	.238
75	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.238
76	resnet18_imagenet_full	.238
77	resnext101_32x32d_wsl	.238
78	effnetb1_272x240	.238
79	resnet50_st_wzc_seed7_2_323	.227
80	resnet50_ewconplus_wzc_seed2_2__323	.227
81	mobilenet_v2_0_5_224	.227
82	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.227
83	antialiased-r50	.227
84	efficientnet_b0_imagenet_full	.227
85	resnet50_imagenet_100_seed-0	.227
86	resnet152_imagenet_full	.227
87	alexnet_fov4	.227
88	mobilenet_v2_1_4_224	.217
89	mobilenet_v2_0_75_224	.217
90	resnet_101_v1	.217
91	inception_v3	.217
92	ReAlnet04	.217
93	voneresnet-50	.217
94	resnet50-vitoimagevidnet8	.217
95	resnet50-VITO-8deg-cc	.217
96	mobilenet_v2_1-4_224_pytorch	.217
97	vonegrcnn_62e_nobn	.207
98	ReAlnet09	.207
99	BiT-S-R50x1	.207
100	BiT-S-R101x3	.207
101	deit_large_imagenet_full_seed-0	.207
102	resnet34_imagenet_full	.207
103	AlexNet_SIN_fov4	.207
104	resnet50_st_wzc_2	.207
105	AlexNet_SIN	.207
106	tv_efficientnet-b1	.207
107	resnet_50_v1_spiking	.196
108	resnet_50_v2	.196
109	nasnet_mobile	.196
110	ReAlnet10	.196
111	ReAlnet08	.196
112	ReAlnet07	.196
113	ReAlnet02	.196
114	vit_relpos_base_patch16_clsgap_224:sw_in1k	.196
115	vonegrcnn_47e	.196
116	resnet50_ewconplus_wzc_seed6_2_323	.186
117	resnet_152_v1	.186
118	ReAlnet01	.186
119	voneresnet-50-robust	.186
120	vonegrcnn_52e_full	.186
121	efficientnet_b2_imagenet_full	.186
122	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.186
123	alexnet_ks_torevert	.186
124	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.186
125	alexnet	.186
126	resnet_50_v1	.176
127	vgg_16	.176
128	ReAlnet03	.176
129	resnet50-SIN_IN	.176
130	resnet50-sup	.176
131	deit_small_imagenet_full_seed-0	.176
132	resnet50_tutorial	.176
133	efficientnet_b1_imagenet_full	.176
134	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.176
135	cv_18_dagger_408_pretrained	.176
136	focalnet_tiny_lrf_in1k	.176
137	custom_model_cv_18_dagger_408	.176
138	resnet50_ewconplus_wzc_seed5_2__323	.165
139	inception_v1	.165
140	densenet-121	.165
141	convnext_large_imagenet_full_seed-0	.165
142	voneresnet-50-non_stochastic	.165
143	resnet50_ewconplus_wzc	.165
144	resnet50_hvs_wzc	.165
145	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.155
146	resnet50_st_wzc_seed6_2_323	.155
147	ReAlnet06	.155
148	resnet50-SIN	.155
149	bp_resnet50_julios	.155
150	ReAlnet05	.145
151	resnet50-SIN_IN_IN	.145
152	densenet-169	.145
153	convnext_tiny_sup	.145
154	resnet_SIN_IN_FT_IN	.145
155	cvt_cvt-13-384-in1k_4_LucyV4	.145
156	resnet101_imagenet_full	.145
157	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.134
158	efficientnet_b0	.134
159	resnet50_imagenet_1_seed-0	.134
160	resnet-152_v2_pytorch	.134
161	resnet50_eMMCR_Vanilla	.134
162	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.134
163	resnet_50_v1_spiking_l4	.124
164	mobilenet_v2_1_3_224	.124
165	resnet50-moclr8deg	.124
166	convnext_femto_ols:d1_in1k	.124
167	BiT-S-R101x1	.124
168	BiT-S-R50x3	.124
169	resnet50_imagenet_full	.124
170	ViT_L_32_imagenet1k	.124
171	resnet_50_v1_spiking_l4a	.114
172	xception	.114
173	alexnet_training_seed_04	.114
174	resnet_152_v2	.114
175	BiT-S-R152x2	.114
176	convnext_small_imagenet_10_seed-0	.114
177	AlexNet_SIN_fov16	.114
178	pnasnet_large_pytorch	.114
179	resnet_50_v1_spiking_l3	.103
180	alexnet_training_seed_10	.103
181	alexnet_training_seed_08	.103
182	alexnet_training_seed_02	.103
183	alexnet_training_seed_06	.103
184	alexnet_training_seed_05	.103
185	alexnet_training_seed_09	.103
186	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.103
187	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.103
188	resnet50-vicregl0p9	.103
189	resnet50-vicregl0p75	.103
190	BiT-S-R152x4	.103
191	convnext_small_imagenet_1_seed-0	.103
192	deit_small_imagenet_1_seed-0	.103
193	deit_small_imagenet_10_seed-0	.103
194	alexnet_training_seed_01_fov16	.103
195	alexnet_fov16	.103
196	alexnet_training_seed_03	.093
197	vgg_19	.093
198	resnet50-barlow	.093
199	artResNet18_1	.093
200	convnext_small_imagenet_100_seed-0	.093
201	deit_small_imagenet_100_seed-0	.093
202	resnet50_imagenet_10_seed-0	.093
203	alexnet_fov12	.093
204	pnasnet_large_halfPrecision	.083
205	pnasnet_large	.083
206	alexnet_training_seed_07	.083
207	alexnet_training_seed_01_fov12	.083
208	AlexNet_SIN_fov12	.083
209	alexnet_training_seed_01	.072
210	alexnet_training_seed_01_fov4	.072
211	dinov2_vitl14_reg_lc_featread
212	deepeisnn_ei_imagenet_resnet18
213	deepeisnn_ei_cifar10_resnet18
214	deepeisnn_ei_cifar10_vgg19
215	yudixie_wbh_object_class_scaling_0415_run_1
216	yudixie_wbh_object_class_scaling_0415_run_2
217	yudixie_wbh_object_class_scaling_0415_imagenet
218	yudixie_wbh_object_class_scaling_0415_run_3
219	yudixie_wbh_object_class_scaling_0415_run_0
220	predictive_coding_pc
221	pr1_stl10_disentangled_alpha04
222	resnet18_fair
223	vit_base_patch16_dinov3-lvd1689m
224	vit_base_patch14_reg4_dinov2-lvd142m
225	vit_base_patch14_dinov2-lvd142m
226	aughost_fair_resnet18
227	ReAlnet10_ALL
228	ReAlnet09_ALL
229	ReAlnet07_ALL
230	ReAlnet05_ALL
231	ReAlnet04_ALL
232	ReAlnet03_ALL
233	ReAlnet02_ALL
234	ReAlnet01_ALL
235	resnet50_primary_visual_cortex
236	yolos_tiny
237	briaai_rmbg_1_4
238	yudixie_resnet50_distance_reg_0_240908
239	yudixie_resnet50_category_class_0_240908
240	yudixie_resnet50_object_class_0_240908
241	yudixie_resnet50_imagenet1kpret_0_240908
242	yudixie_resnet50_cat_obj_class_all_latents_0_240908
243	yudixie_resnet50_random_0_240908
244	yudixie_resnet50_distance_translation_rotation_0_240908
245	ReAlnet10_cornet
246	ReAlnet09_cornet
247	ReAlnet08_cornet
248	ReAlnet07_cornet
249	ReAlnet06_cornet
250	ReAlnet05_cornet
251	ReAlnet04_cornet
252	ReAlnet03_cornet
253	ReAlnet02_cornet
254	ReAlnet01_cornet
255	yudixie_resnet50_translation_rotation_0_240908
256	yudixie_resnet50_distance_translation_0_240908
257	yudixie_resnet50_translation_reg_0_240908
258	yudixie_resnet50_distance_rotation_0_240908
259	yudixie_resnet50_rotation_reg_0_240908
260	resnet50-vicreg
261	efficientnet-b7
262	resnet-18_test_m
263	omnivore_swinS
264	omnivore_swinB
265	VOneCORnet-S
266	yudixie_resnet18_distance_reg_0_240719
267	yudixie_resnet18_translation_reg_0_240719
268	yudixie_resnet18_imagenet1kpret_0_240719
269	yudixie_resnet18_rotation_reg_0_240719
270	yudixie_resnet18_object_class_0_240719
271	yudixie_resnet18_distance_translation_rotation_0_240719
272	yudixie_resnet18_cat_obj_class_all_latents_0_240719
273	yudixie_resnet18_random_0_240719
274	yudixie_resnet18_category_class_0_240719
275	yudixie_resnet18_distance_rotation_0_240719
276	yudixie_resnet18_translation_rotation_0_240719
277	yudixie_resnet18_distance_translation_0_240719
278	resnet152_ecoset_full
279	resnet101_ecoset_full
280	resnet50_ecoset_full
281	resnet34_ecoset_full
282	resnet18_ecoset_full
283	ReAlnet01_cornet_fov16
284	ReAlnet01_cornet_fov12
285	ReAlnet01_cornet_fov4
286	ReAlnet08_ALL
287	ReAlnet06_ALL
288	compact_resnet50_robust_IT
289	compact_cornets_IT
290	compact_cornets_V4
291	compact_resnet50_robust_V4
292	compact_vgg19_IT
293	compact_vgg19_V4
294	compact_resnet50_IT
295	compact_resnet50_V4
296	ConvLSTM
297	MIM
298	TAU
299	SimVP
300	resnet18_imagenet21kP
301	PredRNN
302	antialiased-rnext101_32x8d
303	hmax

Benchmark bibtex

None

Ceiling

0.98.

Note that scores are relative to this ceiling.

Data: BMD2024.texture_1Behavioral

Metric: accuracy_distance