Leaderboard Explore Compare Profile Community Blog FAQ Competition 2024 Report Issue

Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("SanghaviJozwik2020.IT-pls")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet50_robust_l2_eps3	.503
2	eBarlow_lmda_02_1000ep	.500
3	AT_efficientnet-b7	.490
4	resnet50-vicregl0p9	.487
5	resnet-18-LC_w_sh_100_iter_conv_init_m	.486
6	resnet50_robust_l2_eps1	.486
7	resnet-18-LC_w_sh_10_iter_m	.485
8	voneresnet-50-robust	.485
9	barlow-twins-resnet50	.484
10	resnet-18-LC_w_sh_100_iter_m	.483
11	resnet50-barlow	.482
12	resnet-50-robust	.482
13	resnet-50-pytorch	.482
14	resnet50-vicreg	.482
15	resnet-18-LC_w_sh_1_iter_conv_init_m	.480
16	AdvProp_efficientnet-b6	.476
17	custom_model_cv_18_dagger_408	.476
18	AdvProp_efficientnet-b7	.475
19	resnet-18-LC_d_w_sh_1x1_conv_init_m	.475
20	resnet-18-LC_w_sh_10_iter_conv_init_m	.475
21	alexnet_robust_correct	.473
22	convnext_tiny_imagenet_full_seed-0	.473
23	resnet50-vicregl0p75	.472
24	convnext_small_imagenet_full_seed-0	.471
25	AdvProp_efficientnet-b8	.471
26	resnet50-simclr-vissl	.470
27	0.5x_resnet-18_LC_w_sh_1_iter	.470
28	AT_efficientnet-b4	.467
29	0.5x_resnet-18_LC_w_sh_10_iter	.466
30	AT_efficientnet-b2	.466
31	AdvProp_efficientnet-b4	.463
32	vonegrcnn_62e_nobn	.463
33	vonegrcnn_52e_full	.463
34	convnext_base_imagenet_full_seed-0	.463
35	mobilenet_v2_0.5_160	.462
36	voneresnet-50	.462
37	ReAlnet01_cornet_fov12	.461
38	resnet50_random_linf8_perturb	.461
39	mobilenet_v2_0.75_128	.460
40	convnext_large_imagenet_full_seed-0	.460
41	mobilenet_v2_1.0_96	.460
42	konkle_alexnetgn_ipcl_ref01_primary_model	.459
43	alexnet_l2_3_robust	.459
44	mobilenet_v2_0.75_96	.459
45	resnet50_random_l2_perturb	.458
46	resnet50_l2_3_robust	.458
47	AdvProp_efficientnet-b2	.458
48	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.458
49	mobilenet_v2_0.5_96	.457
50	resnet-50_v1-tf	.456
51	vit_relpos_base_patch16_clsgap_224:sw_in1k	.456
52	resnet-152_v1-tf	.455
53	tv_efficientnet-b1	.455
54	imagenet_l2_10_0	.455
55	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.455
56	resnet18-instance_recognition	.455
57	ReAlnet01_cornet_fov16	.455
58	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.454
59	convnext_xlarge:fb_in22k_ft_in1k	.454
60	mobilenet_v1_1.0_128	.453
61	resnet50-VITO-8deg-cc	.453
62	resnet-18-LC_w_sh_1_iter_m	.453
63	mobilenet_v2_1.0_128-tf	.453
64	vision_transformer_vit_large_patch16_224	.452
65	mobilenet_v2_0.5_128	.452
66	AdvProp_efficientnet-b0	.451
67	resnet50-vitoimagevidnet8	.451
68	resnet50_imagenet_full	.451
69	Res2Net50_26w_4s	.450
70	vonegrcnn_47e	.450
71	effnetv2m_custom384	.450
72	mobilenet_v2_0.35_160	.450
73	resnet50_ecoset_full	.450
74	mobilenet_v2_1_0_128	.449
75	resnet50-moclr8deg	.449
76	resnet50_linf_8_robust	.449
77	imagenet_l2_3_0	.448
78	resnet-101_v1-tf	.448
79	0.5x_resnet-18_LC_w_sh_100_iter	.447
80	ReAlnet08_cornet	.447
81	cvt_cvt-13-224-in1k_4_LucyV4	.447
82	deit_base_imagenet_full_seed-0	.447
83	mobilenet_v2_0.35_96	.446
84	mobilenet_v2_0.75_160-tf	.446
85	resnet50_ewconplus_wzc	.446
86	cv_18_dagger_408_pretrained	.446
87	ReAlnet10_cornet	.446
88	vonegrcnn_47e	.445
89	ReAlnet03_cornet	.445
90	resnet101	.445
91	resnet50	.445
92	voneresnet-50-non_stochastic	.445
93	mobilenet_v2_0_75_160	.444
94	ReAlnet06_cornet	.443
95	ReAlnet07_cornet	.443
96	resnet50_imagenet_100_seed-0	.443
97	nasnet_mobile	.443
98	ReAlnet02_cornet	.443
99	mobilenet_v2_0.5_192-tf	.443
100	resnet50_linf_4_robust	.442
101	yudixie_resnet50_imagenet1kpret_0_240312	.442
102	resnet_50_v1_spiking_l4	.442
103	resnet_50_v1_spiking_l4a	.442
104	resnet50_tutorial	.442
105	yudixie_resnet50_imagenet1kpret_0_240908	.442
106	resnet50-SIN_IN_IN	.442
107	efficientnet_b0_imagenet_full	.442
108	ReAlnet04_cornet	.441
109	mobilenet_v2_0.75_192-tf	.441
110	ReAlnet09_cornet	.441
111	efficientnet_b1_imagenet_full	.441
112	omnivore_swinT	.441
113	ViT_L_32_imagenet1k	.441
114	mobilenet_v1_1.0_160	.440
115	ReAlnet01_cornet	.440
116	mobilenet_v2_1_4_224	.440
117	resnet-18-LC_1st_conv_m	.440
118	mobilenet_v2_1-4_224_pytorch	.439
119	ReAlnet05_cornet	.439
120	resnet-18-LC_m	.438
121	efficientnet-b7	.438
122	mobilenet_v2_0.35_128	.437
123	resnet152_imagenet_full	.437
124	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.436
125	resnet50-SIN_IN	.436
126	mobilenet_v2_1.0_160-tf	.435
127	mobilenet_v2_1.3_224-tf	.435
128	antialias-resnet152	.435
129	convnext_tiny:in12k_ft_in1k	.435
130	regnet_y_400mf	.435
131	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.434
132	resnext101_32x8d_wsl	.434
133	mobilenet_v2_0.35_192	.434
134	mobilenet_v2_0.5_224-tf	.434
135	resnet101_ecoset_full	.434
136	cvt_cvt-21-224-in1k_4_LucyV4	.433
137	resnet-50_v2-tf	.433
138	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.433
139	omnivore_swinB	.433
140	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.433
141	resnet-101_v2-tf	.433
142	mobilenet_v2_1_0_160	.433
143	BiT-S-R152x4	.433
144	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.432
145	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.432
146	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.432
147	mobilenet_v2_0.75_224-tf	.432
148	mobilenet_v1_0.75_160	.431
149	mobilenet_v2_0_5_192	.431
150	mobilenet_v2_1.4_224-tf	.431
151	efficientnet_b2_imagenet_full	.431
152	CORnet-S	.431
153	ViT-B/32	.430
154	effnetb1_272x240	.430
155	mobilenet_v2_1.0_192-tf	.430
156	grcnn	.430
157	efficientnet_b0	.430
158	mobilenet_v2_0_75_192	.429
159	focalnet_tiny_lrf_in1k	.429
160	cvt_cvt-13-384-in1k_4_LucyV4	.429
161	alexnet_linf_8_robust	.429
162	CLIP_ViT-B_32	.429
163	inception_v1-tf	.429
164	ReAlnet03_ALL	.429
165	ReAlnet07_ALL	.428
166	ReAlnet10_ALL	.428
167	ReAlnet01_ALL	.428
168	BiT-M-R152x4	.428
169	resnet152_ecoset_full	.428
170	ReAlnet02_ALL	.428
171	ReAlnet08_ALL	.427
172	cvt_cvt-21-384-in1k_4_LucyV4	.427
173	omnivore_swinS	.427
174	resnet34_ecoset_full	.427
175	FrankRobWobv0	.427
176	mobilenet_v1_0.5_192	.427
177	ReAlnet04_ALL	.426
178	0.5x_resnet-18_LC	.426
179	antialiased-r50	.426
180	ReAlnet06_ALL	.426
181	mobilenet_v2_0.35_224	.426
182	convnext_base:clip_laiona_augreg_ft_in1k_384	.426
183	ReAlnet09_ALL	.426
184	ReAlnet05_ALL	.426
185	antialiased-rnext101_32x8d	.425
186	densenet-201-keras	.425
187	densenet-201	.425
188	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.424
189	mobilenet_v2_1_0_224	.424
190	mobilenet_v1_0.25_160	.424
191	0.5x_resnet-18	.424
192	resnet-18-LC_conv_init_m	.423
193	mobilenet_v2_1.0_224-tf	.423
194	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.423
195	mobilenet_v2_1_0_192	.423
196	shufflenet_v2_x1_0	.423
197	deit_large_imagenet_full_seed-0	.422
198	convnext_large:fb_in22k_ft_in1k	.422
199	densenet-169	.421
200	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.421
201	mobilenet_v2_0_75_224	.419
202	resnet101_imagenet_full	.419
203	grcnn_robust_v1	.419
204	mobilenet_v1_0.75_192	.419
205	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.419
206	grcnn_109	.418
207	mobilenet_v1_1.0_192	.418
208	nasnet_mobile-tf	.417
209	deit_small_imagenet_full_seed-0	.416
210	resnet50-SIN	.416
211	nasnet_large-tf	.416
212	yudixie_resnet18_imagenet1kpret_0_240719	.416
213	mobilenet_v1_0.5_128	.415
214	densenet-169-keras	.414
215	mobilenet_v1_0.25_192	.414
216	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.414
217	SWSL_resnet50	.414
218	mobilenet_v1_0.75_224	.414
219	resnet_50_v1_spiking	.413
220	resnet50-sup	.413
221	resnet_50_v1	.413
222	convnext_small_imagenet_100_seed-0	.412
223	inception_v1	.412
224	resnet-152_v2-tf	.411
225	mobilenet_v2_1_3_224	.411
226	alexnet_random_l2_3_perturb	.409
227	mobilenet_v1_1.0_224	.409
228	texture_shape_resnet50_trained_on_SIN	.409
229	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.407
230	resnet18_imagenet_full	.407
231	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.407
232	mobilenet_v1_0.75_128	.407
233	mobilenet_v1_0.5_160	.407
234	densenet-121	.406
235	resnet_SIN_IN_FT_IN	.406
236	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.406
237	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.406
238	resnet18_ecoset_full	.406
239	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.406
240	CLIP_resnet50_float32	.405
241	CLIP_resnet50	.405
242	alexnet_ks_torevert	.405
243	alexnet	.405
244	grcnn_v2_text_noise	.405
245	vit_large_patch14_clip_224:laion2b_ft_in1k	.403
246	ReAlnet01_cornet_fov4	.403
247	resnet50_simclr	.403
248	resnet18-deepcluster	.402
249	densenet-121-keras	.402
250	resnet18-local_aggregation	.402
251	resnet18_imagenet21kP	.401
252	RN50	.401
253	mobilenet_v1_0.5_224	.401
254	resnet_50_v1_spiking_l3	.401
255	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.401
256	alexnet_random_linf8_perturb	.400
257	BiT-S-R152x2	.400
258	mobilenet_v2_0_5_224	.400
259	vit_large_patch14_clip_224:openai_ft_in1k	.399
260	mobilenet_v1_0.25_128	.399
261	CORnet-Z	.397
262	deit_small_imagenet_100_seed-0	.395
263	CLIP-RN50	.395
264	convnext_femto_ols:d1_in1k	.394
265	mobilenet_v1_0.25_224	.394
266	resnet18-supervised	.393
267	BiT-S-R50x3	.393
268	BiT-M-R50x3	.393
269	squeezenet1_1	.392
270	vonealexnet_gaussian_noise_std4_fixed	.392
271	inception_resnet_v2	.390
272	resnet50_moco_v2	.390
273	vgg-16-keras	.389
274	resnet_50_v2	.387
275	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.385
276	vgg_16	.384
277	resnet34_imagenet_full	.384
278	xception-keras	.384
279	resnext101_32x48d_wsl	.383
280	resnet50_byol	.383
281	alexnet_fov12	.383
282	alexnet_fov4	.383
283	convnext_tiny_sup	.381
284	RN50	.381
285	inception_v2-tf	.380
286	vgg_19	.379
287	alexnet_reduced_aliasing_early_checkpoint	.379
288	BiT-M-R50x1	.378
289	vit_base_patch16_clip_224:openai_ft_in1k	.378
290	resnext101_32x16d_wsl	.377
291	r3m_resnet18	.377
292	resnet-18_test_m	.377
293	resnet-18	.377
294	inception_v3	.376
295	resnet50_primary_visual_cortex	.376
296	VOneCORnet-S	.375
297	AlexNet_SIN_fov16	.374
298	vgg-19-keras	.373
299	briaai_rmbg_1_4	.371
300	artResNet18_1	.371
301	resnet-34	.368
302	alexnet_fov16	.368
303	resnext101_32x32d_wsl	.368
304	alexnet_early_checkpoint	.368
305	blt_vs	.367
306	BiT-S-R50x1	.366
307	AlexNet_SIN	.365
308	inception_v3-tf	.364
309	r3m_resnet34	.364
310	vit_large_patch14_clip_336:laion2b_ft_in1k	.364
311	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.364
312	pnasnet_large_halfPrecision	.363
313	yudixie_resnet50_object_class_0_240908	.362
314	resnet18-colorization	.361
315	SWSL_resnext101_32x8d	.360
316	AlexNet_SIN_fov12	.358
317	resnet18-contrastive_multiview	.356
318	vit_base_patch14_dinov2-lvd142m	.356
319	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.354
320	texture_shape_alexnet_trained_on_SIN	.353
321	pnasnet_large-tf	.353
322	vit_base_patch16_dinov3-lvd1689m	.350
323	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.347
324	yolos_tiny	.346
325	resnet18-relative_position	.342
326	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.342
327	yudixie_resnet50_category_class_0_240908	.340
328	BiT-M-R101x1	.337
329	AlexNet_SIN_fov4	.335
330	BiT-M-R101x3	.334
331	BiT-S-R101x1	.332
332	BiT-S-R101x3	.330
333	inception_v4-tf	.328
334	BiT-M-R152x2	.327
335	ReAlnet06	.325
336	ReAlnet05	.323
337	ReAlnet07	.323
338	ReAlnet04	.322
339	ReAlnet10	.321
340	ReAlnet01	.321
341	ReAlnet03	.320
342	ReAlnet08	.320
343	squeezenet1_0	.320
344	ReAlnet09	.319
345	resnet18-contrastive_predictive	.318
346	resnet50_imagenet_10_seed-0	.318
347	ReAlnet02	.317
348	aughost_fair_resnet18	.317
349	r3m_resnet50	.315
350	yudixie_resnet50_distance_reg_0_240908	.313
351	vggface	.313
352	yudixie_resnet50_translation_rotation_0_240908	.313
353	vit_base_patch14_reg4_dinov2-lvd142m	.312
354	yudixie_resnet18_category_class_0_240719	.312
355	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.311
356	cornet_s	.311
357	resnet50-cifar	.310
358	yudixie_resnet50_distance_translation_rotation_0_240908	.307
359	yudixie_resnet18_object_class_0_240719	.306
360	yudixie_resnet50_distance_rotation_0_240908	.306
361	resnet-152_v2_pytorch	.305
362	yudixie_resnet50_distance_translation_0_240908	.296
363	yudixie_resnet50_translation_reg_0_240908	.295
364	yudixie_resnet50_rotation_reg_0_240908	.295
365	resnet18-depth_prediction	.291
366	CORnetZ_CIFAR10	.286
367	resnet50	.284
368	alexnet_training_seed_02	.277
369	alexnet_training_seed_06	.276
370	alexnet_training_seed_03	.273
371	alexnet_training_seed_08	.271
372	alexnet_training_seed_05	.268
373	alexnet_training_seed_01	.266
374	alexnet_training_seed_10	.263
375	alexnet_training_seed_09	.262
376	alexnet_training_seed_04	.260
377	resnet50_FractalDB	.259
378	compact_resnet50_robust_IT	.258
379	alexnet_training_seed_01_fov12	.258
380	compact_resnet50_IT	.256
381	prednet	.256
382	mobilevit_small	.254
383	alexnet_training_seed_07	.254
384	yudixie_resnet18_translation_rotation_0_240719	.253
385	compact_cornets_IT	.247
386	my-model	.243
387	alexnet_training_seed_01_fov16	.240
388	yudixie_resnet18_distance_rotation_0_240719	.238
389	yudixie_resnet18_distance_translation_0_240719	.234
390	compact_vgg19_IT	.233
391	yudixie_resnet18_translation_reg_0_240719	.230
392	yudixie_resnet18_distance_translation_rotation_0_240719	.230
393	resnet-50x2_untrained	.228
394	yudixie_resnet18_rotation_reg_0_240719	.223
395	alexnet_training_seed_01_fov4	.221
396	convnext_small_imagenet_10_seed-0	.220
397	yudixie_resnet18_distance_reg_0_240719	.219
398	CORnetZ_CIFAR10_bs32_20_04	.215
399	resnet50_imagenet_1_seed-0	.215
400	yudixie_resnet50_random_0_240908	.209
401	yudixie_resnet18_random_0_240719	.204
402	resnet50-meshes-lt-100-original-scratch	.204
403	resnet-18_untrained	.191
404	resnet18-autoencoder	.190
405	resnet50_pretrained_with_retinal_waves	.178
406	resnet-50_untrained	.176
407	resnet-18-LC_untrained	.166
408	compact_cornets_V4	.165
409	v1-pyr-nodown	.163
410	resnet50-meshes-lt-100-original-pretrained	.150
411	compact_vgg19_V4	.124
412	compact_resnet50_robust_V4	.111
413	compact_resnet50_V4	.102
414	deit_small_imagenet_1_seed-0	.049
415	deit_small_imagenet_10_seed-0	.045
416	convnext_small_imagenet_1_seed-0	.036
417	pixels	.033
418	my-model	.019

Benchmark bibtex

@misc{Sanghavi_Jozwik_DiCarlo_2021,
  title={SanghaviJozwik2020},
  url={osf.io/fhy36},
  DOI={10.17605/OSF.IO/FHY36},
  publisher={OSF},
  author={Sanghavi, Sachi and Jozwik, Kamila M and DiCarlo, James J},
  year={2021},
  month={Nov}
}

Ceiling

0.86.

Note that scores are relative to this ceiling.

Data: SanghaviJozwik2020.IT

4916 stimuli recordings from 26 sites in IT

Metric: pls