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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	BiT-S-R101x1	.360
43	AdvProp_efficientnet-b4	.358
44	ReAlnet07	.355
45	efficientnet-b7	.349
46	AT_efficientnet-b2	.348
47	AdvProp_efficientnet-b2	.348
48	mobilenet_v2_1_0_160	.347
49	ReAlnet08	.346
50	resnet50_ewconplus_wzc	.343
51	voneresnet-50-non_stochastic	.337
52	effnetb1_272x240	.337
53	resnet50_robust_l2_eps3	.336
54	convnext_tiny:in12k_ft_in1k	.332
55	resnet50_robust_l2_eps1	.328
56	AdvProp_efficientnet-b8	.328
57	resnet50_ecoset_full	.327
58	BiT-S-R50x1	.327
59	efficientnet_b0_imagenet_full	.327
60	mobilenet_v2_0_75_224	.327
61	convnext_femto_ols:d1_in1k	.326
62	ReAlnet01_cornet_fov12	.325
63	convnext_large_imagenet_full_seed-0	.322
64	voneresnet-50-robust	.320
65	voneresnet-50	.320
66	resnet50_imagenet_full	.317
67	mobilenet_v2_1_0_192	.313
68	tv_efficientnet-b1	.312
69	vgg_19	.311
70	AdvProp_efficientnet-b6	.309
71	imagenet_l2_3_0	.308
72	yolos_tiny	.307
73	resnet50-barlow	.306
74	convnext_large:fb_in22k_ft_in1k	.305
75	resnet50-vicregl0p9	.301
76	convnext_base_imagenet_full_seed-0	.299
77	convnext_tiny_imagenet_full_seed-0	.295
78	convnext_small_imagenet_full_seed-0	.295
79	resnet50-SIN	.289
80	efficientnet_b0	.289
81	efficientnet_b1_imagenet_full	.289
82	vgg_16	.288
83	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.286
84	resnet152_ecoset_full	.282
85	AdvProp_efficientnet-b7	.281
86	resnet50-vicregl0p75	.279
87	yudixie_resnet18_distance_reg_0_240719	.278
88	resnet101_ecoset_full	.277
89	resnet50_imagenet_100_seed-0	.277
90	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.277
91	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.275
92	resnet101_imagenet_full	.274
93	custom_model_cv_18_dagger_408	.274
94	densenet-121	.270
95	yudixie_resnet18_distance_translation_0_240719	.270
96	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.270
97	resnet50-vicreg	.269
98	Res2Net50_26w_4s	.267
99	ReAlnet01_cornet_fov16	.266
100	vit_large_patch14_clip_224:laion2b_ft_in1k	.266
101	mobilenet_v2_1_0_224	.265
102	resnet50-moclr8deg	.265
103	AlexNet_SIN	.265
104	cvt_cvt-21-384-in1k_4_LucyV4	.265
105	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.265
106	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.264
107	yudixie_resnet18_translation_rotation_0_240719	.264
108	convnext_tiny_sup	.263
109	xception	.262
110	resnet-50-robust	.262
111	yudixie_resnet18_distance_rotation_0_240719	.262
112	mobilenet_v2_0_5_224	.262
113	vit_base_patch14_reg4_dinov2:lvd142m	.262
114	BiT-S-R50x3	.261
115	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.260
116	efficientnet_b2_imagenet_full	.257
117	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.256
118	artResNet18_1	.256
119	vit_base_patch14_dinov2:lvd142m	.256
120	alexnet_ks_torevert	.255
121	alexnet	.255
122	alexnet_workflow_trigger	.255
123	resnet50-SIN_IN	.255
124	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.255
125	yudixie_resnet18_distance_translation_rotation_0_240719	.254
126	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.254
127	convnext_base:clip_laiona_augreg_ft_in1k_384	.253
128	yudixie_resnet50_distance_rotation_0_240908	.253
129	vit_large_patch14_clip_224:openai_ft_in1k	.251
130	vit_base_patch16_dinov3:lvd1689m	.251
131	convnext_xlarge:fb_in22k_ft_in1k	.250
132	nasnet_mobile	.248
133	vit_base_patch16_clip_224:openai_ft_in1k	.247
134	yudixie_resnet18_translation_reg_0_240719	.247
135	resnet152_imagenet_full	.247
136	cv_18_dagger_408_pretrained	.246
137	convnext_small_imagenet_100_seed-0	.244
138	blt_vs	.244
139	resnet_50_v1_spiking	.243
140	resnet50-sup	.243
141	resnet_50_v1	.243
142	antialiased-r50	.242
143	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.241
144	vit_relpos_base_patch16_clsgap_224:sw_in1k	.240
145	resnet50-SIN_IN_IN	.239
146	cvt_cvt-13-384-in1k_4_LucyV4	.238
147	inception_v3	.237
148	yudixie_resnet18_imagenet1kpret_0_240719	.236
149	deit_base_imagenet_full_seed-0	.236
150	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.234
151	deit_large_imagenet_full_seed-0	.234
152	cvt_cvt-13-224-in1k_4_LucyV4	.233
153	inception_v1	.232
154	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.230
155	omnivore_swinS	.230
156	resnet50-vitoimagevidnet8	.229
157	resnet50-VITO-8deg-cc	.229
158	resnet_101_v2	.228
159	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.227
160	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.227
161	resnext101_32x32d_wsl	.224
162	resnext101_32x48d_wsl	.223
163	yudixie_resnet50_translation_rotation_0_240908	.223
164	densenet-201	.223
165	deit_small_imagenet_full_seed-0	.222
166	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.220
167	yudixie_resnet18_category_class_0_240719	.215
168	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.214
169	densenet-169	.212
170	resnet_50_v1_spiking_l4a	.210
171	resnet_50_v1_spiking_l4	.210
172	yudixie_resnet50_imagenet1kpret_0_240908	.210
173	resnet50_tutorial	.210
174	mobilenet_v2_1_4_224	.210
175	mobilenet_v2_1-4_224_pytorch	.209
176	omnivore_swinB	.205
177	ReAlnet01_cornet_fov4	.204
178	yudixie_resnet18_object_class_0_240719	.203
179	vit_large_patch14_clip_336:laion2b_ft_in1k	.201
180	BiT-S-R101x3	.198
181	focalnet_tiny_lrf_in1k	.193
182	yudixie_resnet18_rotation_reg_0_240719	.188
183	cvt_cvt-21-224-in1k_4_LucyV4	.188
184	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.181
185	yudixie_resnet50_distance_translation_0_240908	.180
186	yudixie_resnet50_rotation_reg_0_240908	.173
187	resnet_50_v2	.165
188	BiT-S-R152x2	.163
189	alexnet_fov4	.161
190	yudixie_resnet50_category_class_0_240908	.157
191	deit_small_imagenet_100_seed-0	.157
192	resnext101_32x8d_wsl	.145
193	yudixie_resnet50_object_class_0_240908	.139
194	briaai_rmbg_1_4	.139
195	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.139
196	yudixie_resnet50_distance_translation_rotation_0_240908	.135
197	yudixie_resnet50_translation_reg_0_240908	.129
198	alexnet_fov16	.127
199	ViT_L_32_imagenet1k	.125
200	alexnet_fov12	.125
201	AlexNet_SIN_fov16	.120
202	resnet50_imagenet_10_seed-0	.118
203	convnext_small_imagenet_10_seed-0	.117
204	AlexNet_SIN_fov12	.113
205	resnet_50_v1_spiking_l3	.108
206	resnet50_primary_visual_cortex	.103
207	resnet-152_v2_pytorch	.097
208	deit_small_imagenet_10_seed-0	.095
209	compact_resnet50_robust_IT	.090
210	compact_resnet50_IT	.086
211	yudixie_resnet50_distance_reg_0_240908	.083
212	deit_small_imagenet_1_seed-0	.068
213	alexnet_training_seed_01_fov16	.064
214	alexnet_training_seed_02	.060
215	alexnet_training_seed_01_fov12	.060
216	compact_cornets_IT	.060
217	compact_vgg19_V4	.060
218	resnet50_imagenet_1_seed-0	.059
219	alexnet_training_seed_04	.059
220	compact_vgg19_IT	.058
221	alexnet_training_seed_03	.056
222	compact_resnet50_robust_V4	.056
223	convnext_small_imagenet_1_seed-0	.055
224	alexnet_training_seed_09	.048
225	alexnet_training_seed_01	.048
226	alexnet_training_seed_05	.046
227	alexnet_training_seed_10	.042
228	alexnet_training_seed_07	.039
229	alexnet_training_seed_06	.039
230	alexnet_training_seed_08	.033
231	yudixie_resnet50_random_0_240908	.029
232	yudixie_resnet18_random_0_240719	.027
233	AlexNet_SIN_fov4	.019
234	compact_resnet50_V4	.005
235	hmax	-0.007
236	compact_cornets_V4	-0.029
237	alexnet_training_seed_01_fov4	-0.035
238	pnasnet_large
239	BiT-S-R152x4
240	resnet_SIN_IN_FT_IN
241	vonegrcnn_52e_full
242	vonegrcnn_47e
243	pnasnet_large_pytorch
244	densenet_201_pytorch
245	inception_v3_pytorch
246	MIM
247	resnet50_eMMCR_Vanilla
248	TAU
249	PredRNN
250	SimVP
251	ConvLSTM
252	bp_resnet50_julios
253	regnet_y_400mf
254	antialiased-rnext101_32x8d
255	antialias-resnet152
256	resnet_152_v1
257	resnet_101_v1
258	resnet_152_v2
259	nasnet_large
260	inception_v4
261	grcnn_109
262	vonegrcnn_62e_nobn
263	grcnn
264	resnext101_32x16d_wsl

Benchmark bibtex

None

Ceiling

Not available

Data: Bracci2019.anteriorVTC

Metric: rdm