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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_base:clip_laiona_augreg_ft_in1k_384	.465
8	resnext101_32x48d_wsl	.454
9	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.379
10	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.369
11	resnext101_32x8d_wsl	.337
12	resnet50-SIN	.337
13	convnext_large:fb_in22k_ft_in1k	.337
14	resnext101_32x16d_wsl	.315
15	convnext_xlarge:fb_in22k_ft_in1k	.294
16	resnext101_32x32d_wsl	.294
17	AdvProp_efficientnet-b7	.272
18	antialias-resnet152	.261
19	mobilenet_v2_1_0_128	.250
20	focalnet_tiny_lrf_in1k	.250
21	regnet_y_400mf	.250
22	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.250
23	ReAlnet05	.239
24	resnet34_imagenet_full	.239
25	ReAlnet10	.239
26	resnet50-SIN_IN_IN	.239
27	resnet_SIN_IN_FT_IN	.239
28	ReAlnet02	.239
29	ReAlnet06	.227
30	effnetb1_272x240	.227
31	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.227
32	convnext_small_imagenet_100_seed-0	.227
33	ReAlnet07	.216
34	ReAlnet08	.216
35	ReAlnet09	.216
36	convnext_large_imagenet_full_seed-0	.216
37	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.216
38	mobilenet_v2_1_0_224	.216
39	voneresnet-50	.216
40	ReAlnet01	.216
41	grcnn_109	.216
42	ReAlnet04	.216
43	resnet50_robust_l2_eps1	.216
44	antialiased-r50	.216
45	BiT-S-R50x3	.216
46	convnext_tiny_sup	.216
47	ReAlnet03	.216
48	convnext_base_imagenet_full_seed-0	.205
49	cvt_cvt-13-224-in1k_4_LucyV4	.205
50	resnet50-SIN_IN	.205
51	vit_relpos_base_patch16_clsgap_224:sw_in1k	.205
52	pnasnet_large	.205
53	vgg_19	.205
54	AdvProp_efficientnet-b2	.205
55	BiT-S-R152x4	.205
56	AT_efficientnet-b2	.205
57	mobilenet_v2_1_0_192	.194
58	AlexNet_SIN	.194
59	convnext_tiny_imagenet_full_seed-0	.194
60	AlexNet_SIN_fov16	.194
61	resnet_50_v1_spiking	.182
62	resnet50_tutorial	.182
63	resnet50_imagenet_full	.182
64	convnext_small_imagenet_full_seed-0	.182
65	deit_small_imagenet_full_seed-0	.182
66	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.182
67	grcnn	.182
68	resnet50-moclr8deg	.182
69	voneresnet-50-robust	.182
70	resnet_50_v1	.182
71	resnet50-sup	.182
72	resnet_101_v1	.182
73	densenet-201	.171
74	densenet_201_pytorch	.171
75	resnet152_imagenet_full	.171
76	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.171
77	shufflenet_v2_x1_0	.171
78	AlexNet_SIN_fov4	.171
79	nasnet_mobile	.171
80	AdvProp_efficientnet-b4	.171
81	BiT-S-R152x2	.171
82	blt_vs	.160
83	resnet_50_v1_spiking_l4a	.160
84	alexnet	.160
85	alexnet_ks_torevert	.160
86	voneresnet-50-non_stochastic	.160
87	efficientnet_b1_imagenet_full	.160
88	BiT-S-R101x3	.160
89	BiT-S-R101x1	.160
90	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.149
91	mobilenet_v2_0_75_160	.149
92	resnet-50-robust	.149
93	pnasnet_large_pytorch	.149
94	resnet18_imagenet_full	.149
95	imagenet_l2_3_0	.149
96	resnet50_robust_l2_eps3	.149
97	AdvProp_efficientnet-b8	.149
98	resnet_50_v2	.137
99	resnet_50_v1_spiking_l4	.137
100	convnext_tiny:in12k_ft_in1k	.137
101	efficientnet_b0_imagenet_full	.137
102	inception_v3_pytorch	.137
103	efficientnet_b2_imagenet_full	.137
104	deit_large_imagenet_full_seed-0	.137
105	cvt_cvt-13-384-in1k_4_LucyV4	.137
106	deit_base_imagenet_full_seed-0	.137
107	inception_v4	.137
108	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.137
109	vgg_16	.137
110	inception_v1	.137
111	convnext_femto_ols:d1_in1k	.137
112	resnet50_imagenet_10_seed-0	.126
113	alexnet_training_seed_09	.126
114	alexnet_training_seed_05	.126
115	resnet50_ewconplus_wzc	.126
116	alexnet_training_seed_06	.126
117	inception_v3	.126
118	cvt_cvt-21-224-in1k_4_LucyV4	.126
119	alexnet_training_seed_02	.126
120	cv_18_dagger_408_pretrained	.126
121	mobilenet_v2_1_0_160	.126
122	mobilenet_v2_0_5_192	.126
123	alexnet_training_seed_04	.126
124	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.126
125	alexnet_training_seed_08	.126
126	mobilenet_v2_0_5_224	.126
127	alexnet_fov4	.126
128	convnext_small_imagenet_1_seed-0	.126
129	alexnet_training_seed_10	.126
130	resnet50_imagenet_100_seed-0	.126
131	resnet50_imagenet_1_seed-0	.126
132	custom_model_cv_18_dagger_408	.126
133	AdvProp_efficientnet-b6	.126
134	bp_resnet50_julios	.126
135	tv_efficientnet-b1	.126
136	resnet50_eMMCR_Vanilla	.126
137	mobilenet_v2_0_75_192	.126
138	resnet-152_v2_pytorch	.126
139	convnext_small_imagenet_10_seed-0	.126
140	deit_small_imagenet_10_seed-0	.126
141	alexnet_fov16	.126
142	alexnet_training_seed_07	.126
143	vit_base_patch16_clip_224:openai_ft_in1k	.126
144	cvt_cvt-21-384-in1k_4_LucyV4	.126
145	efficientnet_b0	.126
146	Res2Net50_26w_4s	.126
147	resnet50-VITO-8deg-cc	.126
148	deit_small_imagenet_1_seed-0	.126
149	resnet_50_v1_spiking_l3	.126
150	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.126
151	resnet_101_v2	.126
152	resnet50-vitoimagevidnet8	.126
153	vonegrcnn_62e_nobn	.126
154	artResNet18_1	.126
155	resnet_152_v2	.126
156	alexnet_training_seed_01_fov16	.126
157	vonegrcnn_47e	.126
158	vonegrcnn_52e_full	.126
159	resnet50-vicregl0p75	.126
160	resnet50-vicregl0p9	.126
161	densenet-169	.126
162	densenet-121	.126
163	resnet_152_v1	.126
164	alexnet_fov12	.115
165	resnet101_imagenet_full	.115
166	ViT_L_32_imagenet1k	.115
167	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.115
168	alexnet_training_seed_01_fov4	.115
169	BiT-S-R50x1	.115
170	deit_small_imagenet_100_seed-0	.104
171	alexnet_training_seed_01_fov12	.104
172	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.093
173	alexnet_training_seed_01	.093
174	nasnet_large	.093
175	mobilenet_v2_1_3_224	.093
176	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.081
177	xception	.081
178	AlexNet_SIN_fov12	.081
179	alexnet_training_seed_03	.081
180	mobilenet_v2_1-4_224_pytorch	.036
181	resnet50-barlow	.036
182	mobilenet_v2_1_4_224	.036
183	mobilenet_v2_0_75_224	.014
184	yudixie_resnet50_cat_obj_class_all_latents_0_240908
185	yudixie_resnet50_object_class_0_240908
186	ReAlnet05_cornet
187	ReAlnet03_ALL
188	ReAlnet10_cornet
189	resnet152_ecoset_full
190	yudixie_resnet18_imagenet1kpret_0_240719
191	yudixie_resnet50_category_class_0_240908
192	yudixie_resnet50_distance_reg_0_240908
193	briaai_rmbg_1_4
194	ReAlnet01_cornet
195	hmax
196	antialiased-rnext101_32x8d
197	resnet18_imagenet21kP
198	ConvLSTM
199	PredRNN
200	SimVP
201	TAU
202	yolos_tiny
203	MIM
204	compact_resnet50_V4
205	ReAlnet03_cornet
206	ReAlnet02_cornet
207	yudixie_resnet50_distance_rotation_0_240908
208	resnet18_ecoset_full
209	compact_resnet50_IT
210	resnet34_ecoset_full
211	ReAlnet01_cornet_fov4
212	resnet50_ecoset_full
213	resnet101_ecoset_full
214	ReAlnet01_cornet_fov12
215	ReAlnet04_cornet
216	compact_vgg19_V4
217	yudixie_resnet50_translation_reg_0_240908
218	yudixie_resnet18_distance_translation_0_240719
219	yudixie_resnet18_translation_rotation_0_240719
220	yudixie_resnet18_distance_rotation_0_240719
221	yudixie_resnet50_distance_translation_0_240908
222	yudixie_resnet50_rotation_reg_0_240908
223	yudixie_resnet18_category_class_0_240719
224	resnet-18_test_m
225	yudixie_resnet18_random_0_240719
226	yudixie_resnet18_cat_obj_class_all_latents_0_240719
227	yudixie_resnet18_distance_translation_rotation_0_240719
228	yudixie_resnet18_object_class_0_240719
229	yudixie_resnet18_rotation_reg_0_240719
230	yudixie_resnet18_translation_reg_0_240719
231	yudixie_resnet18_distance_reg_0_240719
232	efficientnet-b7
233	compact_resnet50_robust_V4
234	ReAlnet06_cornet
235	ReAlnet01_ALL
236	yudixie_resnet50_translation_rotation_0_240908
237	ReAlnet07_cornet
238	ReAlnet01_cornet_fov16
239	ReAlnet02_ALL
240	resnet50-vicreg
241	ReAlnet08_cornet
242	VOneCORnet-S
243	omnivore_swinB
244	compact_cornets_V4
245	ReAlnet04_ALL
246	ReAlnet09_cornet
247	compact_cornets_IT
248	omnivore_swinS
249	ReAlnet05_ALL
250	compact_vgg19_IT
251	ReAlnet06_ALL
252	yudixie_resnet50_distance_translation_rotation_0_240908
253	compact_resnet50_robust_IT
254	ReAlnet07_ALL
255	yudixie_resnet50_random_0_240908
256	ReAlnet08_ALL
257	ReAlnet09_ALL
258	yudixie_resnet50_imagenet1kpret_0_240908
259	resnet50_primary_visual_cortex
260	ReAlnet10_ALL

Benchmark bibtex

None

Ceiling

0.93.

Note that scores are relative to this ceiling.

Data: BMD2024.dotted_2Behavioral

Metric: accuracy_distance