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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Bracci2019.anteriorVTC-rdm")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet34_imagenet_full	.411
2	mobilenet_v2_1_0_128	.402
3	ReAlnet04_cornet	.395
4	ReAlnet05_cornet	.392
5	ReAlnet01_cornet	.391
6	ReAlnet06_cornet	.391
7	ReAlnet03_cornet	.390
8	ReAlnet07_cornet	.389
9	resnet34_ecoset_full	.389
10	ReAlnet05	.388
11	ReAlnet03	.387
12	ReAlnet06_ALL	.387
13	ReAlnet03_ALL	.387
14	shufflenet_v2_x1_0	.385
15	ReAlnet10_cornet	.384
16	ReAlnet09_cornet	.383
17	ReAlnet01	.383
18	resnet18_imagenet21kP	.382
19	ReAlnet02_ALL	.382
20	ReAlnet04	.382
21	ReAlnet05_ALL	.382
22	resnet18_ecoset_full	.381
23	ReAlnet01_ALL	.380
24	ReAlnet04_ALL	.380
25	ReAlnet08_cornet	.378
26	mobilenet_v2_0_5_192	.378
27	ReAlnet10_ALL	.377
28	ReAlnet09	.377
29	ReAlnet02	.373
30	ReAlnet08_ALL	.373
31	ReAlnet06	.373
32	ReAlnet09_ALL	.373
33	ReAlnet07_ALL	.373
34	resnet50_ewconplus_wzc_seed3_2_323	.372
35	ReAlnet02_cornet	.371
36	VOneCORnet-S	.371
37	mobilenet_v2_0_75_160	.370
38	mobilenet_v2_1_3_224	.368
39	ReAlnet10	.368
40	resnet18_imagenet_full	.367
41	resnet50_st_wzc_2_323	.366
42	resnet-18_test_m	.366
43	mobilenet_v2_0_75_192	.365
44	resnet50_ewconplus_noseed_2_323	.362
45	resnet50_st_wzc_noseed_2_323	.361
46	resnet50_st_wzc_seed3_2_323	.360
47	BiT-S-R101x1	.360
48	AdvProp_efficientnet-b4	.358
49	resnet50_ewconplus_wzc_2_323	.358
50	resnet50_st_wzc_2	.358
51	resnet50_st_wzc_seed6_2_323	.357
52	ReAlnet07	.355
53	resnet50_st_wzc_seed7_2_323	.354
54	resnet50_ewconplus_wzc_seed5_2__323	.353
55	resnet50_st_wzc_seed4_2_323	.351
56	resnet50_ewconplus_wzc_seed7_2_323	.350
57	resnet50_ewconplus_wzc_seed2_2__323	.350
58	efficientnet-b7	.349
59	AdvProp_efficientnet-b2	.348
60	AT_efficientnet-b2	.348
61	mobilenet_v2_1_0_160	.347
62	ReAlnet08	.346
63	resnet50_st_wzc_seed5_2_323	.344
64	resnet50_ewconplus_wzc	.343
65	voneresnet-50-non_stochastic	.337
66	effnetb1_272x240	.337
67	resnet50_robust_l2_eps3	.336
68	resnet50_ewconplus_wzc_seed6_2_323	.334
69	convnext_tiny:in12k_ft_in1k	.332
70	resnet50_ewconplus_wzc_seed4_2_323	.330
71	resnet50_robust_l2_eps1	.328
72	AdvProp_efficientnet-b8	.328
73	resnet50_ecoset_full	.327
74	BiT-S-R50x1	.327
75	efficientnet_b0_imagenet_full	.327
76	mobilenet_v2_0_75_224	.327
77	convnext_femto_ols:d1_in1k	.326
78	ReAlnet01_cornet_fov12	.325
79	convnext_large_imagenet_full_seed-0	.322
80	voneresnet-50-robust	.320
81	voneresnet-50	.320
82	resnet50_imagenet_full	.317
83	mobilenet_v2_1_0_192	.313
84	tv_efficientnet-b1	.312
85	vgg_19	.311
86	AdvProp_efficientnet-b6	.309
87	imagenet_l2_3_0	.308
88	yolos_tiny	.307
89	resnet50-barlow	.306
90	convnext_large:fb_in22k_ft_in1k	.305
91	resnet50-vicregl0p9	.301
92	convnext_base_imagenet_full_seed-0	.299
93	convnext_tiny_imagenet_full_seed-0	.295
94	convnext_small_imagenet_full_seed-0	.295
95	resnet50-SIN	.289
96	efficientnet_b0	.289
97	efficientnet_b1_imagenet_full	.289
98	vgg_16	.288
99	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.286
100	resnet152_ecoset_full	.282
101	deepeisnn_ei_imagenet_resnet18	.282
102	AdvProp_efficientnet-b7	.281
103	resnet50-vicregl0p75	.279
104	yudixie_resnet18_distance_reg_0_240719	.278
105	resnet101_ecoset_full	.277
106	resnet50_imagenet_100_seed-0	.277
107	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.277
108	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.275
109	resnet101_imagenet_full	.274
110	custom_model_cv_18_dagger_408	.274
111	densenet-121	.270
112	yudixie_resnet18_distance_translation_0_240719	.270
113	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.270
114	resnet50-vicreg	.269
115	Res2Net50_26w_4s	.267
116	ReAlnet01_cornet_fov16	.266
117	vit_large_patch14_clip_224:laion2b_ft_in1k	.266
118	mobilenet_v2_1_0_224	.265
119	resnet50-moclr8deg	.265
120	AlexNet_SIN	.265
121	cvt_cvt-21-384-in1k_4_LucyV4	.265
122	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.265
123	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.264
124	yudixie_resnet18_translation_rotation_0_240719	.264
125	convnext_tiny_sup	.263
126	xception	.262
127	resnet-50-robust	.262
128	yudixie_resnet18_distance_rotation_0_240719	.262
129	mobilenet_v2_0_5_224	.262
130	vit_base_patch14_reg4_dinov2-lvd142m	.262
131	BiT-S-R50x3	.261
132	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.260
133	efficientnet_b2_imagenet_full	.257
134	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.256
135	artResNet18_1	.256
136	vit_base_patch14_dinov2-lvd142m	.256
137	pnasnet_large_halfPrecision	.256
138	alexnet	.255
139	alexnet_ks_torevert	.255
140	resnet50-SIN_IN	.255
141	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.255
142	yudixie_resnet18_distance_translation_rotation_0_240719	.254
143	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.254
144	convnext_base:clip_laiona_augreg_ft_in1k_384	.253
145	yudixie_resnet50_distance_rotation_0_240908	.253
146	vit_large_patch14_clip_224:openai_ft_in1k	.251
147	vit_base_patch16_dinov3-lvd1689m	.251
148	convnext_xlarge:fb_in22k_ft_in1k	.250
149	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.250
150	deit3_base_patch16_224_fb_in1k	.250
151	nasnet_mobile	.248
152	vit_base_patch16_clip_224:openai_ft_in1k	.247
153	yudixie_resnet18_translation_reg_0_240719	.247
154	resnet152_imagenet_full	.247
155	cv_18_dagger_408_pretrained	.246
156	convnext_small_imagenet_100_seed-0	.244
157	blt_vs	.244
158	resnet_50_v1_spiking	.243
159	resnet_50_v1	.243
160	resnet50-sup	.243
161	antialiased-r50	.242
162	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.241
163	vit_relpos_base_patch16_clsgap_224:sw_in1k	.240
164	resnet50-SIN_IN_IN	.239
165	cvt_cvt-13-384-in1k_4_LucyV4	.238
166	inception_v3	.237
167	yudixie_resnet18_imagenet1kpret_0_240719	.236
168	yudixie_wbh_object_class_scaling_0415_imagenet	.236
169	deit_base_imagenet_full_seed-0	.236
170	deepeisnn_ei_cifar10_vgg19	.235
171	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.234
172	deit_large_imagenet_full_seed-0	.234
173	cvt_cvt-13-224-in1k_4_LucyV4	.233
174	inception_v1	.232
175	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.230
176	omnivore_swinS	.230
177	resnet50-VITO-8deg-cc	.229
178	resnet50-vitoimagevidnet8	.229
179	resnet_101_v2	.228
180	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.227
181	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.227
182	resnext101_32x32d_wsl	.224
183	resnext101_32x48d_wsl	.223
184	yudixie_resnet50_translation_rotation_0_240908	.223
185	densenet-201	.223
186	deit_small_imagenet_full_seed-0	.222
187	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.220
188	yudixie_resnet18_category_class_0_240719	.215
189	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.214
190	densenet-169	.212
191	resnet_50_v1_spiking_l4	.210
192	yudixie_resnet50_imagenet1kpret_0_240908	.210
193	resnet_50_v1_spiking_l4a	.210
194	resnet50_tutorial	.210
195	mobilenet_v2_1_4_224	.210
196	mobilenet_v2_1-4_224_pytorch	.209
197	omnivore_swinB	.205
198	ReAlnet01_cornet_fov4	.204
199	yudixie_resnet18_object_class_0_240719	.203
200	vit_large_patch14_clip_336:laion2b_ft_in1k	.201
201	pr1_stl10_disentangled_alpha04	.198
202	BiT-S-R101x3	.198
203	focalnet_tiny_lrf_in1k	.193
204	deepeisnn_ei_cifar10_resnet18	.192
205	yudixie_resnet18_rotation_reg_0_240719	.188
206	cvt_cvt-21-224-in1k_4_LucyV4	.188
207	convnext_base_fb_in1k_gram_aligned_dinov3	.184
208	predictive_coding_pc	.184
209	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.181
210	yudixie_resnet50_distance_translation_0_240908	.180
211	yudixie_resnet50_rotation_reg_0_240908	.173
212	resnet_50_v2	.165
213	BiT-S-R152x2	.163
214	alexnet_fov4	.161
215	yudixie_resnet50_category_class_0_240908	.157
216	deit_small_imagenet_100_seed-0	.157
217	yudixie_wbh_object_class_scaling_0415_run_1	.148
218	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.146
219	resnext101_32x8d_wsl	.145
220	resnet18_fair	.140
221	yudixie_resnet50_object_class_0_240908	.139
222	briaai_rmbg_1_4	.139
223	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.139
224	yudixie_resnet50_distance_translation_rotation_0_240908	.135
225	yudixie_resnet50_translation_reg_0_240908	.129
226	alexnet_fov16	.127
227	ViT_L_32_imagenet1k	.125
228	alexnet_fov12	.125
229	AlexNet_SIN_fov16	.120
230	resnet50_imagenet_10_seed-0	.118
231	convnext_small_imagenet_10_seed-0	.117
232	AlexNet_SIN_fov12	.113
233	yudixie_wbh_object_class_scaling_0415_run_2	.109
234	resnet_50_v1_spiking_l3	.108
235	convnext_base_fb_in22k_ft_in1k	.106
236	resnet50_primary_visual_cortex	.103
237	resnet-152_v2_pytorch	.097
238	deit_small_imagenet_10_seed-0	.095
239	compact_resnet50_robust_IT	.090
240	compact_resnet50_IT	.086
241	yudixie_resnet50_distance_reg_0_240908	.083
242	deit3_base_patch16_224_fb_in22k_ft_in1k	.079
243	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.079
244	convnext_base_fb_in1k	.079
245	deit_small_imagenet_1_seed-0	.068
246	alexnet_training_seed_01_fov16	.064
247	yudixie_wbh_object_class_scaling_0415_run_0	.062
248	alexnet_training_seed_02	.060
249	alexnet_training_seed_01_fov12	.060
250	compact_cornets_IT	.060
251	compact_vgg19_V4	.060
252	aughost_fair_resnet18	.059
253	resnet50_imagenet_1_seed-0	.059
254	alexnet_training_seed_04	.059
255	compact_vgg19_IT	.058
256	alexnet_training_seed_03	.056
257	compact_resnet50_robust_V4	.056
258	convnext_small_imagenet_1_seed-0	.055
259	yudixie_wbh_object_class_scaling_0415_run_3	.053
260	alexnet_training_seed_09	.048
261	alexnet_training_seed_01	.048
262	alexnet_training_seed_05	.046
263	alexnet_training_seed_10	.042
264	alexnet_training_seed_07	.039
265	alexnet_training_seed_06	.039
266	alexnet_training_seed_08	.033
267	yudixie_resnet50_random_0_240908	.029
268	yudixie_resnet18_random_0_240719	.027
269	AlexNet_SIN_fov4	.019
270	compact_resnet50_V4	.005
271	hmax	.000
272	compact_cornets_V4	.000
273	alexnet_training_seed_01_fov4	.000
274	resnet_152_v1
275	resnext101_32x16d_wsl
276	antialias-resnet152
277	antialiased-rnext101_32x8d
278	regnet_y_400mf
279	bp_resnet50_julios
280	ConvLSTM
281	SimVP
282	PredRNN
283	TAU
284	resnet50_eMMCR_Vanilla
285	MIM
286	inception_v3_pytorch
287	densenet_201_pytorch
288	pnasnet_large_pytorch
289	inception_v4
290	nasnet_large
291	pnasnet_large
292	grcnn
293	vonegrcnn_62e_nobn
294	grcnn_109
295	vonegrcnn_47e
296	vonegrcnn_52e_full
297	resnet_SIN_IN_FT_IN
298	BiT-S-R152x4
299	resnet_152_v2
300	resnet_101_v1

Benchmark bibtex

None

Ceiling

1.00.

Note that scores are relative to this ceiling.

Data: Bracci2019.anteriorVTC

Metric: rdm