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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Sanghavi2020.IT-pls")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	eBarlow_lmda_02_1000ep	.495
2	resnet50-vicreg	.489
3	resnet50-barlow	.489
4	resnet50-vicregl0p9	.488
5	AdvProp_efficientnet-b7	.488
6	barlow-twins-resnet50	.487
7	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.487
8	AT_efficientnet-b7	.486
9	vonegrcnn_52e_full	.485
10	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.485
11	custom_model_cv_18_dagger_408	.483
12	vonegrcnn_62e_nobn	.483
13	AT_efficientnet-b2	.483
14	AdvProp_efficientnet-b4	.483
15	resnet50-vicregl0p75	.483
16	AT_efficientnet-b4	.482
17	AdvProp_efficientnet-b6	.482
18	AdvProp_efficientnet-b2	.482
19	AdvProp_efficientnet-b8	.481
20	konkle_alexnetgn_ipcl_ref01_primary_model	.481
21	efficientnet_b1_imagenet_full	.480
22	efficientnet_b2_imagenet_full	.480
23	AdvProp_efficientnet-b0	.480
24	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.480
25	efficientnet_b0_imagenet_full	.479
26	tv_efficientnet-b1	.479
27	resnet-18-LC_w_sh_10_iter_m	.479
28	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.479
29	convnext_tiny_imagenet_full_seed-0	.479
30	effnetv2m_custom384	.478
31	resnet-18-LC_w_sh_10_iter_conv_init_m	.478
32	0.5x_resnet-18_LC_w_sh_1_iter	.478
33	mobilenet_v2_1.0_192-tf	.477
34	resnet-152_v1-tf	.477
35	antialiased-rnext101_32x8d	.476
36	ReAlnet02_cornet	.476
37	resnet-101_v1-tf	.476
38	resnet-18-LC_w_sh_1_iter_conv_init_m	.476
39	resnet50_ewconplus_wzc	.475
40	resnet50-SIN_IN	.475
41	convnext_xxlarge_clip	.475
42	densenet-201-keras	.475
43	ReAlnet06_cornet	.474
44	efficientnet-b7	.474
45	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.474
46	mobilenet_v2_1.3_224-tf	.474
47	convnext_small_imagenet_full_seed-0	.473
48	mobilenet_v2_1.0_160-tf	.473
49	resnet50-moclr8deg	.473
50	mobilenet_v2_1.4_224-tf	.473
51	resnet-50_v1-tf	.473
52	ReAlnet03_cornet	.473
53	ReAlnet08_cornet	.473
54	ReAlnet04_cornet	.473
55	ReAlnet01_cornet	.473
56	resnet101_ecoset_full	.473
57	resnet50_ewconplus_wzc_seed5_2__323	.472
58	resnet50_ewconplus_wzc_seed6_2_323	.472
59	mobilenet_v2_0.75_224-tf	.471
60	ReAlnet07_cornet	.471
61	resnet50-simclr-vissl	.471
62	ReAlnet10_cornet	.471
63	resnet18-instance_recognition	.471
64	resnet50_simsiam_linhead	.471
65	vit_relpos_base_patch16_clsgap_224:sw_in1k	.471
66	resnet50_hvs_wzc	.471
67	resnet50_robust_l2_eps1	.471
68	resnet50-SIN	.471
69	resnet50_vicreg_linhead	.471
70	resnet-18-LC_w_sh_100_iter_conv_init_m	.470
71	effnetb1_272x240	.470
72	nasnet_mobile	.470
73	resnet50_imagenet_full	.470
74	mobilenet_v2_0.75_160-tf	.470
75	ReAlnet09_cornet	.470
76	convnext_xlarge:fb_in22k_ft_in1k	.469
77	ReAlnet09_ALL	.469
78	resnet50_barlowtwins_linhead	.469
79	convnext_tiny:in12k_ft_in1k	.469
80	ReAlnet06_ALL	.469
81	vonegrcnn_47e	.469
82	convnext_base_imagenet_full_seed-0	.469
83	mobilenet_v2_1.0_128-tf	.469
84	ReAlnet05_cornet	.469
85	resnet18-local_aggregation	.469
86	convnext_base:clip_laiona_augreg_ft_in1k_384	.469
87	voneresnet-50	.469
88	antialiased-r50	.468
89	densenet-169-keras	.468
90	efficientnet_b0	.468
91	resnet50_ewconplus_wzc_seed2_2__323	.468
92	resnet-101_v2-tf	.468
93	ReAlnet04_ALL	.468
94	ReAlnet03_ALL	.468
95	vonegrcnn_47e	.468
96	resnet50-SIN_IN_IN	.468
97	voneresnet-50-robust	.468
98	densenet-169	.468
99	mobilenet_v2_0.5_192-tf	.468
100	ReAlnet02_ALL	.468
101	ReAlnet10_ALL	.468
102	resnet-18-LC_w_sh_1_iter_m	.468
103	ReAlnet01_ALL	.467
104	0.5x_resnet-18_LC_w_sh_10_iter	.467
105	mobilenet_v2_0.75_128	.467
106	grcnn	.467
107	ReAlnet05_ALL	.467
108	mobilenet_v2_0.75_192-tf	.467
109	resnet_SIN_IN_FT_IN	.467
110	mobilenet_v2_0.35_192	.467
111	ReAlnet08_ALL	.467
112	nasnet_mobile-tf	.467
113	convnext_tiny_sup	.467
114	mobilenet_v2_1_0_160	.466
115	mobilenet_v2_1-4_224_pytorch	.466
116	resnet-18-LC_w_sh_100_iter_m	.466
117	resnet50_ecoset_full	.466
118	convnext_large_imagenet_full_seed-0	.466
119	resnet-50_v2-tf	.466
120	ReAlnet07_ALL	.465
121	resnet152_ecoset_full	.465
122	mobilenet_v2_1_0_192	.465
123	mobilenet_v2_1_4_224	.465
124	resnet_50_v1_spiking	.465
125	resnet_50_v1	.465
126	resnet50-sup	.465
127	convnext_large_clip_laion2b_finelayers	.465
128	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.465
129	mobilenet_v2_1_0_224	.465
130	voneresnet-50-non_stochastic	.465
131	mobilenet_v2_0.5_160	.464
132	CORnet-S	.464
133	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.464
134	mobilenet_v2_0.5_224-tf	.464
135	mobilenet_v2_1.0_224-tf	.464
136	mobilenet_v1_0.75_192	.464
137	mobilenet_v1_1.0_192	.463
138	resnet50_imagenet_100_seed-0	.463
139	resnet50_random_linf8_perturb	.463
140	shufflenet_v2_x1_0	.463
141	mobilenet_v1_1.0_160	.463
142	resnet-152_v2-tf	.462
143	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.462
144	resnet101_imagenet_full	.462
145	nasnet_large-tf	.462
146	mobilenet_v1_1.0_224	.461
147	grcnn_robust_v1	.461
148	mobilenet_v1_1.0_128	.461
149	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.460
150	densenet-121-keras	.460
151	resnet50_st_wzc_2	.460
152	convnext_large:fb_in22k_ft_in1k	.460
153	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.459
154	resnet34_ecoset_full	.459
155	mobilenet_v2_1_3_224	.459
156	densenet-121	.459
157	BiT-M-R50x3	.459
158	resnet152_imagenet_full	.459
159	resnet50-vitoimagevidnet8	.459
160	mobilenet_v1_0.75_160	.458
161	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.458
162	BiT-M-R50x1	.458
163	inception_v2-tf	.458
164	resnet50_st_wzc_seed7_2_323	.458
165	resnet_50_v1_spiking_l4	.458
166	resnet_50_v1_spiking_l4a	.458
167	resnet50_tutorial	.458
168	yudixie_resnet50_imagenet1kpret_0_240908	.458
169	yudixie_resnet50_imagenet1kpret_0_240312	.458
170	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.457
171	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.457
172	BiT-S-R50x3	.457
173	grcnn_109	.457
174	mobilenet_v2_0_75_192	.457
175	mobilenet_v2_1_0_128	.457
176	Res2Net50_26w_4s	.457
177	mobilenet_v2_0_5_192	.457
178	mobilenet_v2_0_75_160	.457
179	resnet18-supervised	.456
180	mobilenet_v2_0.35_160	.456
181	antialias-resnet152	.456
182	resnet50_st_wzc_seed6_2_323	.456
183	mobilenet_v2_0_75_224	.456
184	seresnext50_32x4d	.456
185	resnet50_linf_4_robust	.455
186	resnet50	.455
187	mobilenet_v2_0.5_128	.455
188	vit_large_patch14_clip_224:openai_ft_in1k	.455
189	resnet50_random_l2_perturb	.455
190	resnet50_moco_v2	.454
191	mobilenet_v2_0.35_224	.454
192	deit_large_imagenet_full_seed-0	.454
193	inception_v1-tf	.454
194	CLIP-RN50	.454
195	inception_v3-tf	.453
196	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.453
197	resnet50_byol_linhead	.453
198	resnet50_simclr_linhead_01norm	.453
199	mobilenet_v1_0.75_224	.453
200	resnet50_l2_3_robust	.453
201	cv_18_dagger_408_pretrained	.453
202	deit_base_imagenet_full_seed-0	.453
203	ReAlnet01_cornet_fov12	.453
204	focalnet_tiny_lrf_in1k	.453
205	yudixie_resnet18_imagenet1kpret_0_240719	.453
206	yudixie_wbh_object_class_scaling_0415_imagenet	.453
207	mobilenet_v1_0.75_128	.452
208	resnet101	.452
209	resnet34_imagenet_full	.452
210	BiT-S-R50x1	.452
211	grcnn_v2_text_noise	.452
212	regnet_y_400mf	.452
213	inception_v3	.452
214	dinov2_vitg14_reg_lc	.452
215	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.452
216	resnet50_robust_l2_eps3	.451
217	regnety_032	.451
218	eicircuit_resnet18_bn_20260919	.451
219	BiT-S-R152x4	.451
220	convnext_femto_ols:d1_in1k	.451
221	compact_resnet50_robust_IT	.450
222	inception_resnet_v2	.450
223	resnet50_st_wzc_seed3_2_323	.450
224	resnet18_ecoset_full	.450
225	dinov2_vitg14_lc	.449
226	vit_large_patch14_clip_224:laion2b_ft_in1k	.449
227	resnet18_imagenet_full	.449
228	cvt_cvt-13-224-in1k_4_LucyV4	.449
229	omnivore_swinS	.449
230	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.449
231	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.448
232	resnext101_32x8d_wsl	.448
233	RN50	.448
234	omnivore_swinB	.448
235	ReAlnet01_cornet_fov4	.448
236	texture_shape_resnet50_trained_on_SIN	.447
237	compact_resnet50_IT	.447
238	dinov2_vitl14_reg_lc	.447
239	dinov2_vitl14_reg_lc_featread	.447
240	0.5x_resnet-18	.446
241	resnet-18_test_m	.446
242	resnet-18	.446
243	vgg-16-keras	.446
244	inception_v1	.446
245	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.446
246	resnet18_imagenet21kP	.445
247	BiT-M-R101x3	.445
248	BiT-M-R152x4	.444
249	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.444
250	cvt_cvt-21-224-in1k_4_LucyV4	.444
251	resnet18-contrastive_multiview	.444
252	vgg_16	.443
253	ViT-B/32	.443
254	omnivore_swinT	.443
255	resnet-18-LC_1st_conv_m	.443
256	inception_v4-tf	.442
257	SWSL_resnet50	.442
258	vit_large_patch14_clip_336:laion2b_ft_in1k	.442
259	resnet50-VITO-8deg-cc	.442
260	cvt_cvt-13-384-in1k_4_LucyV4	.442
261	dinov2_vitl14_lc	.442
262	resnet18-deepcluster	.442
263	compact_vgg19_IT	.441
264	CLIP_ViT-B_32	.441
265	resnet50_simclr	.441
266	mobilenet_v1_0.5_192	.441
267	mobilenet_v2_1.0_96	.441
268	xception-keras	.441
269	resnet-18-LC_d_w_sh_1x1_conv_init_m	.441
270	CLIP_resnet50_float32	.441
271	CLIP_resnet50	.441
272	resnet-50-pytorch	.440
273	resnet-50-robust	.440
274	vit_base_patch16_clip_224:openai_ft_in1k	.440
275	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.440
276	deit3_base_patch16_224_fb_in1k	.440
277	compact_cornets_IT	.440
278	alexnet_random_l2_3_perturb	.440
279	mobilenet_v1_0.5_224	.440
280	resnet-34	.438
281	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.438
282	squeezenet1_1	.438
283	vgg-19-keras	.438
284	mobilenet_v2_0.75_96	.437
285	mehrer2020_alexnet_training_seed_09	.437
286	pnasnet_large-tf	.437
287	yudixie_resnet50_object_class_0_240908	.436
288	mobilenet_v1_0.5_128	.436
289	deit_small_imagenet_full_seed-0	.436
290	BiT-M-R152x2	.436
291	mehrer2020_alexnet_training_seed_05	.436
292	resnext101_32x48d_wsl	.436
293	0.5x_resnet-18_LC_w_sh_100_iter	.436
294	BiT-S-R101x3	.435
295	RN50	.435
296	mehrer2020_alexnet_training_seed_08	.435
297	mehrer2020_alexnet_training_seed_04	.435
298	resnet_101_v2	.435
299	CORnet-Z	.435
300	mehrer2020_alexnet_training_seed_02	.435
301	mehrer2020_alexnet_training_seed_03	.435
302	cvt_cvt-21-384-in1k_4_LucyV4	.435
303	mobilenet_v2_0_5_224	.434
304	convnext_small_imagenet_100_seed-0	.434
305	mobilenet_v1_0.5_160	.434
306	deit3_base_patch16_224_fb_in22k_ft_in1k	.434
307	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.434
308	resnext101_32x32d_wsl	.434
309	mehrer2020_alexnet_training_seed_10	.434
310	yudixie_resnet50_category_class_0_240908	.433
311	resnet_50_v2	.433
312	ViT_L_32_imagenet1k	.432
313	resnext101_32x16d_wsl	.432
314	vit_large_clip336_openai	.431
315	alexnet	.430
316	alexnet_ks_torevert	.430
317	pnasnet_large_halfPrecision	.430
318	mehrer2020_alexnet_training_seed_07	.430
319	mehrer2020_alexnet_training_seed_01	.430
320	vision_transformer_vit_large_patch16_224	.430
321	BiT-M-R101x1	.430
322	imagenet_l2_3_0	.430
323	BiT-S-R152x2	.429
324	alexnet_random_linf8_perturb	.429
325	resnet50_byol	.429
326	ReAlnet10	.428
327	mobilenet_v2_0.35_128	.428
328	mobilenet_v1_0.25_224	.428
329	mehrer2020_alexnet_training_seed_06	.427
330	SWSL_resnext101_32x8d	.427
331	ReAlnet02	.427
332	ReAlnet01	.426
333	ReAlnet07	.426
334	ReAlnet06	.425
335	alexnet_fov4	.425
336	ReAlnet08	.425
337	ReAlnet04	.425
338	ReAlnet03	.424
339	mobilenet_v1_0.25_192	.424
340	ReAlnet09	.424
341	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.424
342	resnet50_linf_8_robust	.423
343	ReAlnet05	.422
344	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.422
345	BiT-S-R101x1	.422
346	mobilenet_v1_0.25_160	.422
347	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.422
348	alexnet_l2_3_robust	.422
349	convnext_base_fb_in1k_gram_aligned_dinov3	.421
350	VOneCORnet-S	.421
351	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.421
352	mobilenet_v2_0.5_96	.421
353	ReAlnet01_cornet_fov16	.421
354	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.420
355	alexnet_reduced_aliasing_early_checkpoint	.420
356	fixres_resnext101_32x48d_wsl	.419
357	vit_base_patch14_dinov2-lvd142m	.418
358	AlexNet_SIN	.416
359	cornet_s	.416
360	yudixie_resnet18_object_class_0_240719	.415
361	FrankRobWobv0	.415
362	mehrer2020_alexnet_training_seed_01_fov4	.415
363	yudixie_resnet18_category_class_0_240719	.415
364	vgg_19	.415
365	yudixie_resnet50_distance_translation_rotation_0_240908	.414
366	resnet_50_v1_spiking_l3	.413
367	resnet-18-LC_m	.413
368	yolos_tiny	.412
369	blt_vs	.412
370	yudixie_resnet50_translation_rotation_0_240908	.411
371	yudixie_resnet50_distance_translation_0_240908	.409
372	ijepa_vith14_linhead	.409
373	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.408
374	0.5x_resnet-18_LC	.408
375	resnet-18-LC_conv_init_m	.408
376	vit_base_patch16_dinov3-lvd1689m	.407
377	mobilenet_v2_0.35_96	.407
378	mehrer2020_alexnet_training_seed_01_fov12	.406
379	mobilenet_v1_0.25_128	.405
380	resnet18-colorization	.405
381	squeezenet1_0	.403
382	AlexNet_SIN_fov4	.403
383	alexnet_robust_correct	.402
384	alexnet_early_checkpoint	.400
385	alexnet_fov12	.400
386	texture_shape_alexnet_trained_on_SIN	.400
387	convnext_large_in22k_supervised	.397
388	vonealexnet_gaussian_noise_std4_fixed	.397
389	deepeisnn_ei_imagenet_resnet18	.395
390	yudixie_resnet50_distance_reg_0_240908	.392
391	imagenet_l2_10_0	.390
392	resnet18-relative_position	.389
393	resnet-152_v2_pytorch	.389
394	yudixie_resnet50_rotation_reg_0_240908	.388
395	yudixie_resnet50_translation_reg_0_240908	.384
396	mehrer2020_alexnet_training_seed_01_fov16	.384
397	convnext_base_fb_in22k_ft_in1k	.382
398	AlexNet_SIN_fov12	.379
399	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.378
400	yudixie_resnet18_translation_rotation_0_240719	.377
401	resnet18-contrastive_predictive	.376
402	alexnet_fov16	.375
403	alexnet_linf_8_robust	.374
404	yudixie_resnet18_distance_translation_rotation_0_240719	.369
405	yudixie_resnet18_rotation_reg_0_240719	.366
406	yudixie_resnet18_distance_rotation_0_240719	.366
407	vggface	.364
408	yudixie_resnet50_distance_rotation_0_240908	.363
409	yudixie_resnet18_translation_reg_0_240719	.362
410	yudixie_resnet18_distance_translation_0_240719	.359
411	convnext_base_fb_in1k	.359
412	AlexNet_SIN_fov16	.355
413	resnet18-depth_prediction	.354
414	deit_small_imagenet_100_seed-0	.349
415	yudixie_resnet18_distance_reg_0_240719	.349
416	r3m_resnet34	.347
417	briaai_rmbg_1_4	.345
418	r3m_resnet18	.341
419	r3m_resnet50	.339
420	resnet18_fair	.335
421	artResNet18_1	.330
422	r3m_resnet50_nocrop	.325
423	resnet50-cifar	.311
424	resnet50_primary_visual_cortex	.308
425	prednet	.305
426	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.304
427	my-model	.300
428	deepeisnn_ei_cifar10_resnet18	.300
429	predictive_coding_pc	.299
430	deepeisnn_ei_cifar10_vgg19	.289
431	pr1_stl10_disentangled_alpha04	.288
432	resnet50_imagenet_10_seed-0	.285
433	CORnetZ_CIFAR10	.274
434	compact_resnet50_V4	.268
435	compact_resnet50_robust_V4	.266
436	alexnet_training_seed_08	.257
437	v1-pyr-nodown	.256
438	alexnet_training_seed_03	.256
439	compact_vgg19_V4	.255
440	alexnet_training_seed_01	.254
441	alexnet_training_seed_02	.253
442	alexnet_training_seed_05	.253
443	alexnet_training_seed_04	.250
444	alexnet_training_seed_07	.250
445	alexnet_training_seed_09	.248
446	alexnet_training_seed_06	.245
447	alexnet_training_seed_10	.245
448	alexnet_training_seed_01_fov12	.245
449	resnet50_FractalDB	.243
450	gabor_filter_mean_abs_4x4_v2	.242
451	mobilevit_small	.240
452	CORnetZ_CIFAR10_bs32_20_04	.239
453	resnet18-autoencoder	.239
454	alexnet_training_seed_01_fov4	.239
455	compact_cornets_V4	.238
456	alexnet_training_seed_01_fov16	.238
457	yudixie_wbh_object_class_scaling_0415_run_2	.226
458	gabor_filter_entropy_4x4_v2_forcedCosine	.224
459	gabor_filter_entropy_4x4_v2	.223
460	gabor_filter_entropy_4x4	.213
461	yudixie_wbh_object_class_scaling_0415_run_3	.201
462	yudixie_wbh_object_class_scaling_0415_run_0	.198
463	resnet50_imagenet_1_seed-0	.195
464	yudixie_wbh_object_class_scaling_0415_run_1	.194
465	resnet-18_untrained	.194
466	yudixie_resnet18_random_0_240719	.192
467	resnet-50x2_untrained	.192
468	resnet-50_untrained	.186
469	convnext_small_imagenet_10_seed-0	.181
470	yudixie_resnet50_random_0_240908	.174
471	resnet50_pretrained_with_retinal_waves	.159
472	resnet-18-LC_untrained	.155
473	fitvid_trained_on_physion	.144
474	deit_small_imagenet_10_seed-0	.103
475	deit_small_imagenet_1_seed-0	.083
476	convnext_small_imagenet_1_seed-0	.081
477	hmax	.073
478	pixels	.062
479	my-model	.062
480	vit_base_patch14_reg4_dinov2-lvd142m
481	eva02_large_in22k
482	dinov2_vitl14_lc_res336
483	vit_huge_clip336_laion

Benchmark bibtex

@misc{Sanghavi_DiCarlo_2021,
  title={Sanghavi2020},
  url={osf.io/chwdk},
  DOI={10.17605/OSF.IO/CHWDK},
  publisher={OSF},
  author={Sanghavi, Sachi and DiCarlo, James J},
  year={2021},
  month={Nov}
}

Ceiling

0.87.

Note that scores are relative to this ceiling.

Data: Sanghavi2020.IT

5760 stimuli recordings from 88 sites in IT

Metric: pls