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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	ReAlnet02_cornet	.371
35	VOneCORnet-S	.371
36	mobilenet_v2_0_75_160	.370
37	mobilenet_v2_1_3_224	.368
38	ReAlnet10	.368
39	resnet18_imagenet_full	.367
40	resnet-18_test_m	.366
41	mobilenet_v2_0_75_192	.365
42	resnet50_st_wzc_seed3_2_323	.360
43	BiT-S-R101x1	.360
44	AdvProp_efficientnet-b4	.358
45	resnet50_st_wzc_2	.358
46	resnet50_st_wzc_seed6_2_323	.357
47	ReAlnet07	.355
48	resnet50_st_wzc_seed7_2_323	.354
49	resnet50_ewconplus_wzc_seed5_2__323	.353
50	eicircuit_resnet18_bn_20260919	.352
51	resnet50_ewconplus_wzc_seed2_2__323	.350
52	efficientnet-b7	.349
53	AT_efficientnet-b2	.348
54	AdvProp_efficientnet-b2	.348
55	mobilenet_v2_1_0_160	.347
56	ReAlnet08	.346
57	resnet50_hvs_wzc	.345
58	mehrer2020_alexnet_training_seed_05	.345
59	resnet50_ewconplus_wzc	.343
60	mehrer2020_alexnet_training_seed_03	.342
61	mehrer2020_alexnet_training_seed_09	.341
62	voneresnet-50-non_stochastic	.337
63	effnetb1_272x240	.337
64	resnet50_robust_l2_eps3	.336
65	resnet50_ewconplus_wzc_seed6_2_323	.334
66	mehrer2020_alexnet_training_seed_07	.333
67	convnext_tiny:in12k_ft_in1k	.332
68	mehrer2020_alexnet_training_seed_02	.331
69	resnet50_robust_l2_eps1	.328
70	AdvProp_efficientnet-b8	.328
71	resnet50_ecoset_full	.327
72	BiT-S-R50x1	.327
73	efficientnet_b0_imagenet_full	.327
74	mobilenet_v2_0_75_224	.327
75	convnext_femto_ols:d1_in1k	.326
76	ReAlnet01_cornet_fov12	.325
77	mehrer2020_alexnet_training_seed_10	.324
78	convnext_large_imagenet_full_seed-0	.322
79	voneresnet-50-robust	.320
80	voneresnet-50	.320
81	resnet50_imagenet_full	.317
82	mobilenet_v2_1_0_192	.313
83	tv_efficientnet-b1	.312
84	vgg_19	.311
85	AdvProp_efficientnet-b6	.309
86	imagenet_l2_3_0	.308
87	yolos_tiny	.307
88	resnet50-barlow	.306
89	convnext_large:fb_in22k_ft_in1k	.305
90	mehrer2020_alexnet_training_seed_08	.304
91	resnet50-vicregl0p9	.301
92	convnext_base_imagenet_full_seed-0	.299
93	convnext_tiny_imagenet_full_seed-0	.295
94	mehrer2020_alexnet_training_seed_06	.295
95	convnext_small_imagenet_full_seed-0	.295
96	resnet50-SIN	.289
97	efficientnet_b0	.289
98	efficientnet_b1_imagenet_full	.289
99	vgg_16	.288
100	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.286
101	resnet152_ecoset_full	.282
102	deepeisnn_ei_imagenet_resnet18	.282
103	AdvProp_efficientnet-b7	.281
104	resnet50-vicregl0p75	.279
105	yudixie_resnet18_distance_reg_0_240719	.278
106	resnet101_ecoset_full	.277
107	resnet50_imagenet_100_seed-0	.277
108	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.277
109	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.275
110	resnet101_imagenet_full	.274
111	custom_model_cv_18_dagger_408	.274
112	resnet50_barlowtwins_linhead	.273
113	grcnn	.273
114	densenet-121	.270
115	yudixie_resnet18_distance_translation_0_240719	.270
116	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.270
117	resnet50-vicreg	.269
118	Res2Net50_26w_4s	.267
119	ReAlnet01_cornet_fov16	.266
120	vit_large_patch14_clip_224:laion2b_ft_in1k	.266
121	mobilenet_v2_1_0_224	.265
122	resnet50-moclr8deg	.265
123	AlexNet_SIN	.265
124	cvt_cvt-21-384-in1k_4_LucyV4	.265
125	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.265
126	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.264
127	convnext_large_in22k_supervised	.264
128	yudixie_resnet18_translation_rotation_0_240719	.264
129	convnext_tiny_sup	.263
130	xception	.262
131	resnet-50-robust	.262
132	yudixie_resnet18_distance_rotation_0_240719	.262
133	mobilenet_v2_0_5_224	.262
134	vit_base_patch14_reg4_dinov2-lvd142m	.262
135	BiT-S-R50x3	.261
136	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.260
137	dinov2_vitl14_reg_lc_featread	.260
138	dinov2_vitl14_reg_lc	.260
139	efficientnet_b2_imagenet_full	.257
140	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.256
141	artResNet18_1	.256
142	vit_base_patch14_dinov2-lvd142m	.256
143	pnasnet_large_halfPrecision	.256
144	alexnet_ks_torevert	.255
145	alexnet	.255
146	resnet50-SIN_IN	.255
147	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.255
148	yudixie_resnet18_distance_translation_rotation_0_240719	.254
149	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.254
150	convnext_base:clip_laiona_augreg_ft_in1k_384	.253
151	yudixie_resnet50_distance_rotation_0_240908	.253
152	vit_large_patch14_clip_224:openai_ft_in1k	.251
153	vit_base_patch16_dinov3-lvd1689m	.251
154	seresnext50_32x4d	.250
155	convnext_xlarge:fb_in22k_ft_in1k	.250
156	deit3_base_patch16_224_fb_in1k	.250
157	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.250
158	nasnet_mobile	.248
159	vit_base_patch16_clip_224:openai_ft_in1k	.247
160	yudixie_resnet18_translation_reg_0_240719	.247
161	resnet152_imagenet_full	.247
162	cv_18_dagger_408_pretrained	.246
163	convnext_small_imagenet_100_seed-0	.244
164	blt_vs	.244
165	resnet_50_v1_spiking	.243
166	resnet50-sup	.243
167	resnet_50_v1	.243
168	antialiased-r50	.242
169	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.241
170	mehrer2020_alexnet_training_seed_04	.240
171	vit_relpos_base_patch16_clsgap_224:sw_in1k	.240
172	resnet50-SIN_IN_IN	.239
173	resnet_SIN_IN_FT_IN	.238
174	cvt_cvt-13-384-in1k_4_LucyV4	.238
175	inception_v3	.237
176	yudixie_wbh_object_class_scaling_0415_imagenet	.236
177	yudixie_resnet18_imagenet1kpret_0_240719	.236
178	deit_base_imagenet_full_seed-0	.236
179	deepeisnn_ei_cifar10_vgg19	.235
180	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.234
181	deit_large_imagenet_full_seed-0	.234
182	cvt_cvt-13-224-in1k_4_LucyV4	.233
183	inception_v1	.232
184	mehrer2020_alexnet_training_seed_01	.232
185	resnet50_byol_linhead	.231
186	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.230
187	omnivore_swinS	.230
188	resnet50-vitoimagevidnet8	.229
189	resnet50-VITO-8deg-cc	.229
190	resnet_101_v2	.228
191	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.227
192	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.227
193	ijepa_vith14_linhead	.225
194	dinov2_vitl14_lc	.225
195	resnext101_32x32d_wsl	.224
196	resnext101_32x48d_wsl	.223
197	yudixie_resnet50_translation_rotation_0_240908	.223
198	densenet-201	.223
199	deit_small_imagenet_full_seed-0	.222
200	resnet50_simsiam_linhead	.221
201	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.220
202	regnety_032	.218
203	vit_huge_clip336_laion	.215
204	yudixie_resnet18_category_class_0_240719	.215
205	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.214
206	gabor_filter_mean_abs_4x4_v2	.213
207	densenet-169	.212
208	dinov2_vitg14_reg_lc	.211
209	resnet_50_v1_spiking_l4a	.210
210	resnet_50_v1_spiking_l4	.210
211	yudixie_resnet50_imagenet1kpret_0_240908	.210
212	resnet50_tutorial	.210
213	mobilenet_v2_1_4_224	.210
214	mobilenet_v2_1-4_224_pytorch	.209
215	dinov2_vitl14_lc_res336	.206
216	omnivore_swinB	.205
217	ReAlnet01_cornet_fov4	.204
218	yudixie_resnet18_object_class_0_240719	.203
219	resnext101_32x16d_wsl	.201
220	vit_large_patch14_clip_336:laion2b_ft_in1k	.201
221	convnext_large_clip_laion2b_finelayers	.198
222	pr1_stl10_disentangled_alpha04	.198
223	BiT-S-R101x3	.198
224	focalnet_tiny_lrf_in1k	.193
225	deepeisnn_ei_cifar10_resnet18	.192
226	yudixie_resnet18_rotation_reg_0_240719	.188
227	cvt_cvt-21-224-in1k_4_LucyV4	.188
228	convnext_xxlarge_clip	.188
229	gabor_filter_entropy_4x4	.188
230	vit_large_clip336_openai	.185
231	convnext_base_fb_in1k_gram_aligned_dinov3	.184
232	predictive_coding_pc	.184
233	gabor_filter_entropy_4x4_v2	.182
234	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.181
235	yudixie_resnet50_distance_translation_0_240908	.180
236	dinov2_vitg14_lc	.175
237	yudixie_resnet50_rotation_reg_0_240908	.173
238	resnet50_vicreg_linhead	.172
239	gabor_filter_entropy_4x4_v2_forcedCosine	.166
240	resnet_50_v2	.165
241	BiT-S-R152x2	.163
242	alexnet_fov4	.161
243	yudixie_resnet50_category_class_0_240908	.157
244	deit_small_imagenet_100_seed-0	.157
245	eva02_large_in22k	.153
246	mehrer2020_alexnet_training_seed_01_fov12	.151
247	yudixie_wbh_object_class_scaling_0415_run_1	.148
248	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.146
249	resnet50_simclr_linhead_01norm	.145
250	resnext101_32x8d_wsl	.145
251	resnet18_fair	.140
252	yudixie_resnet50_object_class_0_240908	.139
253	briaai_rmbg_1_4	.139
254	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.139
255	mehrer2020_alexnet_training_seed_01_fov16	.138
256	yudixie_resnet50_distance_translation_rotation_0_240908	.135
257	yudixie_resnet50_translation_reg_0_240908	.129
258	alexnet_fov16	.127
259	ViT_L_32_imagenet1k	.125
260	alexnet_fov12	.125
261	AlexNet_SIN_fov16	.120
262	resnet50_imagenet_10_seed-0	.118
263	convnext_small_imagenet_10_seed-0	.117
264	AlexNet_SIN_fov12	.113
265	yudixie_wbh_object_class_scaling_0415_run_2	.109
266	resnet_50_v1_spiking_l3	.108
267	convnext_base_fb_in22k_ft_in1k	.106
268	resnet50_primary_visual_cortex	.103
269	mehrer2020_alexnet_training_seed_01_fov4	.101
270	resnet-152_v2_pytorch	.097
271	deit_small_imagenet_10_seed-0	.095
272	compact_resnet50_robust_IT	.090
273	compact_resnet50_IT	.086
274	yudixie_resnet50_distance_reg_0_240908	.083
275	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.079
276	deit3_base_patch16_224_fb_in22k_ft_in1k	.079
277	convnext_base_fb_in1k	.079
278	deit_small_imagenet_1_seed-0	.068
279	alexnet_training_seed_01_fov16	.064
280	yudixie_wbh_object_class_scaling_0415_run_0	.062
281	alexnet_training_seed_02	.060
282	alexnet_training_seed_01_fov12	.060
283	compact_cornets_IT	.060
284	compact_vgg19_V4	.060
285	resnet50_imagenet_1_seed-0	.059
286	alexnet_training_seed_04	.059
287	compact_vgg19_IT	.058
288	alexnet_training_seed_03	.056
289	compact_resnet50_robust_V4	.056
290	convnext_small_imagenet_1_seed-0	.055
291	yudixie_wbh_object_class_scaling_0415_run_3	.053
292	alexnet_training_seed_09	.048
293	alexnet_training_seed_01	.048
294	alexnet_training_seed_05	.046
295	alexnet_training_seed_10	.042
296	alexnet_training_seed_07	.039
297	alexnet_training_seed_06	.039
298	alexnet_training_seed_08	.033
299	yudixie_resnet50_random_0_240908	.029
300	yudixie_resnet18_random_0_240719	.027
301	AlexNet_SIN_fov4	.019
302	compact_resnet50_V4	.005
303	hmax	.000
304	compact_cornets_V4	.000
305	alexnet_training_seed_01_fov4	.000
306	pnasnet_large
307	BiT-S-R152x4
308	vonegrcnn_52e_full
309	vonegrcnn_47e
310	pnasnet_large_pytorch
311	densenet_201_pytorch
312	inception_v3_pytorch
313	MIM
314	resnet50_eMMCR_Vanilla
315	TAU
316	PredRNN
317	SimVP
318	ConvLSTM
319	bp_resnet50_julios
320	regnet_y_400mf
321	antialiased-rnext101_32x8d
322	antialias-resnet152
323	resnet_152_v1
324	resnet_101_v1
325	resnet_152_v2
326	nasnet_large
327	inception_v4
328	grcnn_109
329	vonegrcnn_62e_nobn

Benchmark bibtex

None

Ceiling

1.00.

Note that scores are relative to this ceiling.

Data: Bracci2019.anteriorVTC

Metric: rdm