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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("BMD2024.dotted_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	.991
2	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.765
3	vit_large_patch14_clip_224:openai_ft_in1k	.626
4	vit_large_patch14_clip_224:laion2b_ft_in1k	.615
5	vit_large_patch14_clip_336:laion2b_ft_in1k	.583
6	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.561
7	convnext_xxlarge_clip	.508
8	vit_huge_clip336_laion	.497
9	eva02_large_in22k	.465
10	convnext_base:clip_laiona_augreg_ft_in1k_384	.465
11	resnext101_32x48d_wsl	.454
12	vit_large_clip336_openai	.401
13	convnext_large_clip_laion2b_finelayers	.390
14	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.379
15	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.369
16	convnext_large_in22k_supervised	.347
17	resnet50-SIN	.337
18	convnext_large:fb_in22k_ft_in1k	.337
19	resnext101_32x8d_wsl	.337
20	resnext101_32x16d_wsl	.315
21	dinov2_vitl14_lc_res336	.304
22	convnext_xlarge:fb_in22k_ft_in1k	.294
23	resnext101_32x32d_wsl	.294
24	dinov2_vitl14_reg_lc	.283
25	dinov2_vitg14_reg_lc	.283
26	AdvProp_efficientnet-b7	.272
27	dinov2_vitg14_lc	.261
28	antialias-resnet152	.261
29	dinov2_vitl14_lc	.250
30	mobilenet_v2_1_0_128	.250
31	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.250
32	regnet_y_400mf	.250
33	focalnet_tiny_lrf_in1k	.250
34	resnet50_ewconplus_wzc_seed6_2_323	.239
35	resnet50_st_wzc_seed7_2_323	.239
36	ReAlnet10	.239
37	ReAlnet05	.239
38	ReAlnet02	.239
39	resnet_SIN_IN_FT_IN	.239
40	resnet34_imagenet_full	.239
41	resnet50-SIN_IN_IN	.239
42	regnety_032	.227
43	ReAlnet06	.227
44	convnext_small_imagenet_100_seed-0	.227
45	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.227
46	effnetb1_272x240	.227
47	mobilenet_v2_1_0_224	.216
48	grcnn_109	.216
49	ReAlnet09	.216
50	ReAlnet08	.216
51	ReAlnet07	.216
52	ReAlnet03	.216
53	ReAlnet04	.216
54	ReAlnet01	.216
55	voneresnet-50	.216
56	resnet50_robust_l2_eps1	.216
57	convnext_tiny_sup	.216
58	BiT-S-R50x3	.216
59	antialiased-r50	.216
60	convnext_large_imagenet_full_seed-0	.216
61	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.216
62	eicircuit_resnet18_bn_20260919	.205
63	convnext_base_fb_in1k_gram_aligned_dinov3	.205
64	resnet50_ewconplus_wzc_seed2_2__323	.205
65	pnasnet_large_halfPrecision	.205
66	pnasnet_large	.205
67	vgg_19	.205
68	resnet50-SIN_IN	.205
69	vit_relpos_base_patch16_clsgap_224:sw_in1k	.205
70	AT_efficientnet-b2	.205
71	BiT-S-R152x4	.205
72	AdvProp_efficientnet-b2	.205
73	convnext_base_imagenet_full_seed-0	.205
74	cvt_cvt-13-224-in1k_4_LucyV4	.205
75	mehrer2020_alexnet_training_seed_02	.194
76	resnet50_st_wzc_seed6_2_323	.194
77	AlexNet_SIN_fov16	.194
78	mobilenet_v2_1_0_192	.194
79	convnext_tiny_imagenet_full_seed-0	.194
80	AlexNet_SIN	.194
81	resnet_50_v1_spiking	.182
82	resnet_101_v1	.182
83	resnet_50_v1	.182
84	grcnn	.182
85	voneresnet-50-robust	.182
86	resnet50-moclr8deg	.182
87	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.182
88	resnet50-sup	.182
89	convnext_small_imagenet_full_seed-0	.182
90	deit_small_imagenet_full_seed-0	.182
91	resnet50_tutorial	.182
92	resnet50_imagenet_full	.182
93	mehrer2020_alexnet_training_seed_03	.171
94	AlexNet_SIN_fov4	.171
95	nasnet_mobile	.171
96	shufflenet_v2_x1_0	.171
97	densenet-201	.171
98	BiT-S-R152x2	.171
99	AdvProp_efficientnet-b4	.171
100	resnet152_imagenet_full	.171
101	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.171
102	densenet_201_pytorch	.171
103	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.160
104	resnet_50_v1_spiking_l4a	.160
105	BiT-S-R101x1	.160
106	BiT-S-R101x3	.160
107	blt_vs	.160
108	efficientnet_b1_imagenet_full	.160
109	resnet50_hvs_wzc	.160
110	voneresnet-50-non_stochastic	.160
111	alexnet_ks_torevert	.160
112	alexnet	.160
113	mehrer2020_alexnet_training_seed_05	.149
114	mehrer2020_alexnet_training_seed_04	.149
115	seresnext50_32x4d	.149
116	mobilenet_v2_0_75_160	.149
117	AdvProp_efficientnet-b8	.149
118	resnet50_robust_l2_eps3	.149
119	imagenet_l2_3_0	.149
120	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.149
121	resnet18_imagenet_full	.149
122	pnasnet_large_pytorch	.149
123	resnet-50-robust	.149
124	mehrer2020_alexnet_training_seed_01	.137
125	convnext_base_fb_in1k	.137
126	resnet_50_v1_spiking_l4	.137
127	resnet_50_v2	.137
128	vgg_16	.137
129	inception_v4	.137
130	inception_v1	.137
131	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.137
132	convnext_tiny:in12k_ft_in1k	.137
133	convnext_femto_ols:d1_in1k	.137
134	deit_large_imagenet_full_seed-0	.137
135	deit_base_imagenet_full_seed-0	.137
136	efficientnet_b2_imagenet_full	.137
137	efficientnet_b0_imagenet_full	.137
138	cvt_cvt-13-384-in1k_4_LucyV4	.137
139	inception_v3_pytorch	.137
140	mehrer2020_alexnet_training_seed_01_fov12	.126
141	mehrer2020_alexnet_training_seed_01_fov16	.126
142	vonealexnet	.126
143	convnext_base_fb_in22k_ft_in1k	.126
144	resnet50_st_wzc_seed3_2_323	.126
145	alexnet_training_seed_01_fov16	.126
146	alexnet_fov16	.126
147	alexnet_fov4	.126
148	cv_18_dagger_408_pretrained	.126
149	resnet_50_v1_spiking_l3	.126
150	alexnet_training_seed_07	.126
151	alexnet_training_seed_10	.126
152	alexnet_training_seed_08	.126
153	alexnet_training_seed_04	.126
154	alexnet_training_seed_02	.126
155	alexnet_training_seed_06	.126
156	alexnet_training_seed_05	.126
157	alexnet_training_seed_09	.126
158	mobilenet_v2_1_0_160	.126
159	resnet_152_v1	.126
160	resnet_152_v2	.126
161	resnet_101_v2	.126
162	mobilenet_v2_0_75_192	.126
163	mobilenet_v2_0_5_224	.126
164	mobilenet_v2_0_5_192	.126
165	inception_v3	.126
166	vonegrcnn_62e_nobn	.126
167	resnet50-vitoimagevidnet8	.126
168	Res2Net50_26w_4s	.126
169	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.126
170	resnet50-VITO-8deg-cc	.126
171	efficientnet_b0	.126
172	vit_base_patch16_clip_224:openai_ft_in1k	.126
173	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.126
174	densenet-121	.126
175	densenet-169	.126
176	resnet50-vicregl0p9	.126
177	resnet50-vicregl0p75	.126
178	vonegrcnn_52e_full	.126
179	vonegrcnn_47e	.126
180	artResNet18_1	.126
181	convnext_small_imagenet_10_seed-0	.126
182	convnext_small_imagenet_1_seed-0	.126
183	deit_small_imagenet_1_seed-0	.126
184	deit_small_imagenet_10_seed-0	.126
185	resnet50_imagenet_100_seed-0	.126
186	resnet50_imagenet_10_seed-0	.126
187	resnet50_imagenet_1_seed-0	.126
188	cvt_cvt-21-384-in1k_4_LucyV4	.126
189	cvt_cvt-21-224-in1k_4_LucyV4	.126
190	resnet50_st_wzc_2	.126
191	resnet50_ewconplus_wzc	.126
192	resnet-152_v2_pytorch	.126
193	resnet50_eMMCR_Vanilla	.126
194	tv_efficientnet-b1	.126
195	bp_resnet50_julios	.126
196	AdvProp_efficientnet-b6	.126
197	custom_model_cv_18_dagger_408	.126
198	alexnet_training_seed_01_fov4	.115
199	alexnet_fov12	.115
200	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.115
201	BiT-S-R50x1	.115
202	resnet101_imagenet_full	.115
203	ViT_L_32_imagenet1k	.115
204	deit3_base_patch16_224_fb_in22k_ft_in1k	.104
205	alexnet_training_seed_01_fov12	.104
206	deit_small_imagenet_100_seed-0	.104
207	deit3_base_patch16_224_fb_in1k	.093
208	mobilenet_v2_1_3_224	.093
209	alexnet_training_seed_01	.093
210	nasnet_large	.093
211	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.093
212	mehrer2020_alexnet_training_seed_01_fov4	.081
213	AlexNet_SIN_fov12	.081
214	xception	.081
215	alexnet_training_seed_03	.081
216	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.081
217	mobilenet_v2_1_4_224	.036
218	resnet50-barlow	.036
219	mobilenet_v2_1-4_224_pytorch	.036
220	mobilenet_v2_0_75_224	.014
221	mehrer2020_alexnet_training_seed_09
222	mehrer2020_alexnet_training_seed_10
223	mehrer2020_alexnet_training_seed_06
224	mehrer2020_alexnet_training_seed_08
225	mehrer2020_alexnet_training_seed_07
226	resnet152_ecoset_full
227	VOneCORnet-S
228	resnet50_ecoset_full
229	ReAlnet07_cornet
230	ReAlnet08_cornet
231	ReAlnet05_cornet
232	ReAlnet01_cornet_fov16
233	gabor_filter_entropy_4x4_v2_forcedCosine
234	gabor_filter_mean_abs_4x4_v2
235	gabor_filter_entropy_4x4_v2
236	gabor_filter_entropy_4x4
237	persistence_memory
238	persistence_mem
239	dinov2_vitl14_reg_lc_featread
240	deepeisnn_ei_imagenet_resnet18
241	deepeisnn_ei_cifar10_resnet18
242	deepeisnn_ei_cifar10_vgg19
243	yudixie_wbh_object_class_scaling_0415_run_1
244	yudixie_wbh_object_class_scaling_0415_run_2
245	yudixie_wbh_object_class_scaling_0415_run_3
246	yudixie_wbh_object_class_scaling_0415_imagenet
247	yudixie_wbh_object_class_scaling_0415_run_0
248	predictive_coding_pc
249	pr1_stl10_disentangled_alpha04
250	resnet18_fair
251	vit_base_patch16_dinov3-lvd1689m
252	vit_base_patch14_reg4_dinov2-lvd142m
253	vit_base_patch14_dinov2-lvd142m
254	ReAlnet01_cornet_fov12
255	ReAlnet01_cornet_fov4
256	yudixie_resnet50_category_class_0_240908
257	yudixie_resnet18_imagenet1kpret_0_240719
258	ReAlnet10_cornet
259	ReAlnet03_ALL
260	compact_resnet50_robust_IT
261	compact_vgg19_IT
262	compact_cornets_IT
263	compact_cornets_V4
264	compact_resnet50_robust_V4
265	compact_vgg19_V4
266	compact_resnet50_IT
267	compact_resnet50_V4
268	ReAlnet10_ALL
269	ReAlnet09_ALL
270	ReAlnet08_ALL
271	ReAlnet07_ALL
272	ReAlnet06_ALL
273	ReAlnet05_ALL
274	ReAlnet04_ALL
275	ReAlnet02_ALL
276	ReAlnet01_ALL
277	resnet50_primary_visual_cortex
278	yolos_tiny
279	briaai_rmbg_1_4
280	yudixie_resnet50_distance_reg_0_240908
281	yudixie_resnet50_object_class_0_240908
282	yudixie_resnet50_cat_obj_class_all_latents_0_240908
283	yudixie_resnet50_imagenet1kpret_0_240908
284	yudixie_resnet50_random_0_240908
285	yudixie_resnet50_distance_translation_rotation_0_240908
286	ReAlnet09_cornet
287	ReAlnet06_cornet
288	ReAlnet04_cornet
289	ReAlnet02_cornet
290	ReAlnet03_cornet
291	ReAlnet01_cornet
292	yudixie_resnet50_translation_rotation_0_240908
293	yudixie_resnet50_rotation_reg_0_240908
294	yudixie_resnet50_distance_translation_0_240908
295	yudixie_resnet50_translation_reg_0_240908
296	yudixie_resnet50_distance_rotation_0_240908
297	resnet50-vicreg
298	efficientnet-b7
299	resnet-18_test_m
300	omnivore_swinS
301	omnivore_swinB
302	yudixie_resnet18_distance_reg_0_240719
303	yudixie_resnet18_translation_reg_0_240719
304	yudixie_resnet18_rotation_reg_0_240719
305	yudixie_resnet18_object_class_0_240719
306	yudixie_resnet18_distance_translation_rotation_0_240719
307	yudixie_resnet18_cat_obj_class_all_latents_0_240719
308	yudixie_resnet18_random_0_240719
309	yudixie_resnet18_category_class_0_240719
310	yudixie_resnet18_distance_rotation_0_240719
311	yudixie_resnet18_translation_rotation_0_240719
312	yudixie_resnet18_distance_translation_0_240719
313	resnet101_ecoset_full
314	resnet34_ecoset_full
315	resnet18_ecoset_full
316	MIM
317	TAU
318	SimVP
319	PredRNN
320	ConvLSTM
321	resnet18_imagenet21kP
322	antialiased-rnext101_32x8d
323	hmax

Benchmark bibtex

None

Ceiling

0.93.

Note that scores are relative to this ceiling.

Data: BMD2024.dotted_2Behavioral

Metric: accuracy_distance