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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("BMD2024.dotted_1Behavioral-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	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.983
3	dinov2_vitg14_reg_lc	.863
4	convnext_xxlarge_clip	.822
5	vit_large_patch14_clip_224:openai_ft_in1k	.801
6	resnext101_32x48d_wsl	.770
7	vit_large_patch14_clip_224:laion2b_ft_in1k	.759
8	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.697
9	convnext_large_clip_laion2b_finelayers	.666
10	vit_large_patch14_clip_336:laion2b_ft_in1k	.655
11	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.655
12	resnext101_32x8d_wsl	.655
13	dinov2_vitl14_reg_lc	.624
14	dinov2_vitg14_lc	.614
15	vit_huge_clip336_laion	.603
16	eva02_large_in22k	.603
17	resnext101_32x16d_wsl	.603
18	convnext_base:clip_laiona_augreg_ft_in1k_384	.582
19	dinov2_vitl14_lc_res336	.551
20	vit_large_clip336_openai	.510
21	resnext101_32x32d_wsl	.510
22	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.478
23	convnext_large:fb_in22k_ft_in1k	.447
24	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.437
25	dinov2_vitl14_lc	.426
26	convnext_large_in22k_supervised	.385
27	regnety_032	.374
28	convnext_xlarge:fb_in22k_ft_in1k	.354
29	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.354
30	densenet-201	.343
31	densenet_201_pytorch	.343
32	resnet50-SIN	.322
33	grcnn_109	.312
34	convnext_base_imagenet_full_seed-0	.312
35	AT_efficientnet-b2	.302
36	BiT-S-R152x2	.302
37	AdvProp_efficientnet-b2	.302
38	AdvProp_efficientnet-b4	.302
39	AdvProp_efficientnet-b7	.291
40	resnet_101_v1	.281
41	effnetb1_272x240	.281
42	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.270
43	focalnet_tiny_lrf_in1k	.260
44	convnext_base_fb_in22k_ft_in1k	.250
45	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.250
46	regnet_y_400mf	.250
47	AdvProp_efficientnet-b6	.250
48	ReAlnet04	.239
49	convnext_large_imagenet_full_seed-0	.239
50	resnet101_imagenet_full	.239
51	AlexNet_SIN	.239
52	resnet_50_v1_spiking_l4a	.229
53	resnet_50_v1	.229
54	ReAlnet07	.229
55	ReAlnet03	.229
56	ReAlnet01	.229
57	voneresnet-50	.229
58	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.229
59	AdvProp_efficientnet-b8	.229
60	resnet50-sup	.229
61	convnext_small_imagenet_full_seed-0	.229
62	resnet50_tutorial	.229
63	resnet152_imagenet_full	.229
64	resnet50_imagenet_full	.229
65	resnet34_imagenet_full	.229
66	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.229
67	antialias-resnet152	.229
68	resnet50_byol_linhead	.218
69	resnet50_ewconplus_wzc_seed2_2__323	.218
70	Res2Net50_26w_4s	.218
71	resnet50-SIN_IN_IN	.218
72	resnet_SIN_IN_FT_IN	.218
73	blt_vs	.218
74	ReAlnet09	.208
75	ReAlnet06	.208
76	ReAlnet05	.208
77	ReAlnet02	.208
78	resnet50-SIN_IN	.208
79	resnet50_robust_l2_eps1	.208
80	convnext_small_imagenet_100_seed-0	.208
81	mobilenet_v2_1_0_192	.198
82	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.198
83	eicircuit_resnet18_bn_20260919	.187
84	AlexNet_SIN_fov4	.187
85	resnet_50_v1_spiking	.187
86	mobilenet_v2_0_75_192	.187
87	ReAlnet10	.187
88	voneresnet-50-robust	.187
89	BiT-S-R152x4	.187
90	BiT-S-R50x3	.187
91	antialiased-r50	.187
92	alexnet_ks_torevert	.187
93	alexnet	.187
94	deit3_base_patch16_224_fb_in22k_ft_in1k	.177
95	resnet50_st_wzc_seed3_2_323	.177
96	mobilenet_v2_1_0_128	.177
97	nasnet_mobile	.177
98	ReAlnet08	.177
99	resnet50-moclr8deg	.177
100	densenet-121	.177
101	efficientnet_b0_imagenet_full	.177
102	resnet18_imagenet_full	.177
103	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.177
104	seresnext50_32x4d	.166
105	pnasnet_large_halfPrecision	.166
106	pnasnet_large	.166
107	resnet_152_v1	.166
108	vit_base_patch16_clip_224:openai_ft_in1k	.166
109	cvt_cvt-13-224-in1k_4_LucyV4	.166
110	resnet50_eMMCR_Vanilla	.166
111	resnet50_simsiam_linhead	.156
112	mehrer2020_alexnet_training_seed_03	.156
113	convnext_base_fb_in1k_gram_aligned_dinov3	.156
114	alexnet_fov4	.156
115	resnet50_hvs_wzc	.156
116	inception_v4	.156
117	inception_v3	.156
118	resnet50-vitoimagevidnet8	.156
119	resnet50-VITO-8deg-cc	.156
120	convnext_tiny:in12k_ft_in1k	.156
121	densenet-169	.156
122	BiT-S-R101x3	.156
123	voneresnet-50-non_stochastic	.156
124	mehrer2020_alexnet_training_seed_02	.146
125	resnet50_ewconplus_wzc_seed5_2__323	.146
126	AlexNet_SIN_fov16	.146
127	resnet50_ewconplus_wzc	.146
128	mobilenet_v2_1_3_224	.146
129	mobilenet_v2_1_0_224	.146
130	nasnet_large	.146
131	mobilenet_v2_0_75_160	.146
132	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.146
133	deit_small_imagenet_full_seed-0	.146
134	cvt_cvt-13-384-in1k_4_LucyV4	.146
135	pnasnet_large_pytorch	.146
136	resnet50_barlowtwins_linhead	.135
137	mehrer2020_alexnet_training_seed_05	.135
138	mehrer2020_alexnet_training_seed_01_fov4	.135
139	resnet50_st_wzc_2	.135
140	mobilenet_v2_0_5_192	.135
141	grcnn	.135
142	convnext_tiny_sup	.135
143	convnext_tiny_imagenet_full_seed-0	.135
144	tv_efficientnet-b1	.135
145	ijepa_vith14_linhead	.125
146	mehrer2020_alexnet_training_seed_01	.125
147	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.125
148	convnext_base_fb_in1k	.125
149	alexnet_training_seed_03	.125
150	inception_v1	.125
151	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.125
152	vit_relpos_base_patch16_clsgap_224:sw_in1k	.125
153	BiT-S-R101x1	.125
154	cvt_cvt-21-384-in1k_4_LucyV4	.125
155	inception_v3_pytorch	.125
156	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.125
157	ViT_L_32_imagenet1k	.125
158	mehrer2020_alexnet_training_seed_04	.114
159	mehrer2020_alexnet_training_seed_01_fov12	.114
160	resnet_50_v1_spiking_l4	.114
161	resnet_50_v2	.114
162	mobilenet_v2_0_5_224	.114
163	shufflenet_v2_x1_0	.114
164	resnet50-vicregl0p75	.114
165	BiT-S-R50x1	.114
166	deit_small_imagenet_100_seed-0	.114
167	deit_large_imagenet_full_seed-0	.114
168	resnet50_imagenet_100_seed-0	.114
169	resnet50_vicreg_linhead	.104
170	mehrer2020_alexnet_training_seed_01_fov16	.104
171	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.104
172	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.104
173	alexnet_training_seed_01_fov16	.104
174	alexnet_fov16	.104
175	cv_18_dagger_408_pretrained	.104
176	resnet_50_v1_spiking_l3	.104
177	alexnet_training_seed_08	.104
178	alexnet_training_seed_10	.104
179	alexnet_training_seed_04	.104
180	alexnet_training_seed_02	.104
181	alexnet_training_seed_06	.104
182	alexnet_training_seed_05	.104
183	alexnet_training_seed_09	.104
184	resnet_152_v2	.104
185	resnet_101_v2	.104
186	vgg_16	.104
187	vonegrcnn_62e_nobn	.104
188	efficientnet_b0	.104
189	resnet50_robust_l2_eps3	.104
190	imagenet_l2_3_0	.104
191	vonegrcnn_52e_full	.104
192	vonegrcnn_47e	.104
193	convnext_small_imagenet_10_seed-0	.104
194	convnext_small_imagenet_1_seed-0	.104
195	deit_small_imagenet_1_seed-0	.104
196	deit_small_imagenet_10_seed-0	.104
197	deit_base_imagenet_full_seed-0	.104
198	efficientnet_b2_imagenet_full	.104
199	resnet50_imagenet_10_seed-0	.104
200	resnet50_imagenet_1_seed-0	.104
201	cvt_cvt-21-224-in1k_4_LucyV4	.104
202	resnet50-barlow	.104
203	resnet-152_v2_pytorch	.104
204	bp_resnet50_julios	.104
205	resnet-50-robust	.104
206	custom_model_cv_18_dagger_408	.104
207	resnet50_simclr_linhead_01norm	.094
208	alexnet_fov12	.094
209	mobilenet_v2_1_0_160	.094
210	mobilenet_v2_0_75_224	.094
211	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.094
212	artResNet18_1	.094
213	alexnet_training_seed_01_fov4	.083
214	mobilenet_v2_1_4_224	.083
215	alexnet_training_seed_07	.083
216	vgg_19	.083
217	convnext_femto_ols:d1_in1k	.083
218	resnet50-vicregl0p9	.083
219	efficientnet_b1_imagenet_full	.083
220	mobilenet_v2_1-4_224_pytorch	.083
221	AlexNet_SIN_fov12	.073
222	alexnet_training_seed_01	.073
223	alexnet_training_seed_01_fov12	.062
224	xception	.042
225	resnet50_ecoset_full
226	resnet101_ecoset_full
227	ReAlnet07_cornet
228	ReAlnet05_cornet
229	ReAlnet01_cornet_fov16
230	ReAlnet02_cornet
231	gabor_filter_mean_abs_4x4_v2
232	gabor_filter_entropy_4x4_v2_forcedCosine
233	gabor_filter_entropy_4x4_v2
234	gabor_filter_entropy_4x4
235	dinov2_vitl14_reg_lc_featread
236	deepeisnn_ei_imagenet_resnet18
237	deepeisnn_ei_cifar10_resnet18
238	deepeisnn_ei_cifar10_vgg19
239	yudixie_wbh_object_class_scaling_0415_run_1
240	yudixie_wbh_object_class_scaling_0415_run_2
241	yudixie_wbh_object_class_scaling_0415_imagenet
242	yudixie_wbh_object_class_scaling_0415_run_3
243	yudixie_wbh_object_class_scaling_0415_run_0
244	predictive_coding_pc
245	resnet18_fair
246	vit_base_patch14_reg4_dinov2-lvd142m
247	vit_base_patch16_dinov3-lvd1689m
248	vit_base_patch14_dinov2-lvd142m
249	ReAlnet01_cornet_fov12
250	ReAlnet01_cornet_fov4
251	yudixie_resnet18_category_class_0_240719
252	yolos_tiny
253	ReAlnet07_ALL
254	ReAlnet03_ALL
255	compact_resnet50_robust_IT
256	compact_cornets_IT
257	compact_cornets_V4
258	compact_vgg19_IT
259	compact_vgg19_V4
260	compact_resnet50_robust_V4
261	compact_resnet50_IT
262	compact_resnet50_V4
263	ReAlnet10_ALL
264	ReAlnet09_ALL
265	ReAlnet08_ALL
266	ReAlnet06_ALL
267	ReAlnet05_ALL
268	ReAlnet04_ALL
269	ReAlnet02_ALL
270	ReAlnet01_ALL
271	resnet50_primary_visual_cortex
272	briaai_rmbg_1_4
273	yudixie_resnet50_distance_reg_0_240908
274	yudixie_resnet50_category_class_0_240908
275	yudixie_resnet50_object_class_0_240908
276	yudixie_resnet50_distance_translation_rotation_0_240908
277	yudixie_resnet50_random_0_240908
278	yudixie_resnet50_imagenet1kpret_0_240908
279	yudixie_resnet50_cat_obj_class_all_latents_0_240908
280	ReAlnet10_cornet
281	ReAlnet09_cornet
282	ReAlnet08_cornet
283	ReAlnet06_cornet
284	ReAlnet04_cornet
285	ReAlnet03_cornet
286	ReAlnet01_cornet
287	yudixie_resnet50_translation_rotation_0_240908
288	yudixie_resnet50_distance_translation_0_240908
289	yudixie_resnet50_translation_reg_0_240908
290	yudixie_resnet50_rotation_reg_0_240908
291	yudixie_resnet50_distance_rotation_0_240908
292	efficientnet-b7
293	resnet-18_test_m
294	omnivore_swinS
295	omnivore_swinB
296	VOneCORnet-S
297	yudixie_resnet18_distance_reg_0_240719
298	yudixie_resnet18_translation_reg_0_240719
299	yudixie_resnet18_imagenet1kpret_0_240719
300	yudixie_resnet18_rotation_reg_0_240719
301	yudixie_resnet18_object_class_0_240719
302	yudixie_resnet18_distance_translation_rotation_0_240719
303	yudixie_resnet18_cat_obj_class_all_latents_0_240719
304	yudixie_resnet18_random_0_240719
305	yudixie_resnet18_distance_rotation_0_240719
306	yudixie_resnet18_translation_rotation_0_240719
307	yudixie_resnet18_distance_translation_0_240719
308	resnet152_ecoset_full
309	resnet34_ecoset_full
310	resnet18_ecoset_full
311	resnet50-vicreg
312	antialiased-rnext101_32x8d
313	MIM
314	TAU
315	SimVP
316	PredRNN
317	ConvLSTM
318	resnet18_imagenet21kP
319	hmax

Benchmark bibtex

None

Ceiling

0.98.

Note that scores are relative to this ceiling.

Data: BMD2024.dotted_1Behavioral

Metric: accuracy_distance