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("Sanghavi2020.V4-pls")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	ReAlnet01_cornet_fov4	.623
2	alexnet_fov4	.613
3	compact_resnet50_robust_V4	.601
4	custom_model_cv_18_dagger_408	.595
5	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.591
6	AdvProp_efficientnet-b4	.590
7	densenet-169-keras	.589
8	densenet-121-keras	.589
9	resnet50	.589
10	ReAlnet07_cornet	.588
11	ReAlnet08_cornet	.587
12	ReAlnet02_cornet	.587
13	compact_resnet50_V4	.586
14	ReAlnet10_cornet	.585
15	yudixie_resnet50_imagenet1kpret_0_240908	.584
16	resnet_50_v1	.584
17	resnet50-sup	.584
18	resnet_50_v1_spiking	.584
19	resnet_50_v1_spiking_l4	.584
20	resnet_50_v1_spiking_l4a	.584
21	resnet50_tutorial	.584
22	resnet_50_v1_spiking_l3	.584
23	yudixie_resnet50_imagenet1kpret_0_240312	.584
24	ReAlnet03_cornet	.584
25	ReAlnet05_cornet	.583
26	efficientnet_b1_imagenet_full	.583
27	ReAlnet04_cornet	.583
28	densenet-201-keras	.582
29	ReAlnet09_cornet	.582
30	antialiased-r50	.582
31	antialiased-rnext101_32x8d	.581
32	resnet50_random_linf8_perturb	.581
33	efficientnet_b2_imagenet_full	.581
34	SWSL_resnet50	.580
35	resnet34_ecoset_full	.580
36	focalnet_tiny_lrf_in1k	.580
37	ReAlnet06_cornet	.580
38	resnet50_random_l2_perturb	.580
39	resnet50-SIN_IN_IN	.579
40	resnet_SIN_IN_FT_IN	.579
41	resnet18-colorization	.579
42	ReAlnet01_cornet	.579
43	resnet-50_v1-tf	.578
44	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.578
45	inception_v1-tf	.577
46	resnet50-SIN_IN	.576
47	resnet-101_v1-tf	.576
48	resnet50_linf_4_robust	.576
49	AdvProp_efficientnet-b8	.575
50	effnetv2m_custom384	.575
51	xception-keras	.575
52	ReAlnet02_ALL	.575
53	resnext101_32x8d_wsl	.575
54	ReAlnet01_ALL	.575
55	ReAlnet08_ALL	.575
56	ReAlnet09_ALL	.574
57	resnet-152_v1-tf	.574
58	vgg_16	.574
59	vonegrcnn_62e_nobn	.574
60	ReAlnet07_ALL	.574
61	resnet-18-LC_w_sh_100_iter_conv_init_m	.574
62	ReAlnet06_ALL	.574
63	vgg-16-keras	.574
64	vit_base_patch16_clip_224:openai_ft_in1k	.574
65	vonegrcnn_52e_full	.574
66	resnext101_32x16d_wsl	.574
67	resnet152_imagenet_full	.574
68	vision_transformer_vit_large_patch16_224	.574
69	ReAlnet04_ALL	.574
70	deit_large_imagenet_full_seed-0	.574
71	ReAlnet03_ALL	.574
72	BiT-M-R101x3	.573
73	vonegrcnn_47e	.573
74	ReAlnet10_ALL	.573
75	resnet-50_v2-tf	.573
76	ReAlnet05_ALL	.573
77	resnet50_ewconplus_wzc	.573
78	resnet152_ecoset_full	.572
79	resnet-18-LC_d_w_sh_1x1_conv_init_m	.572
80	effnetb1_272x240	.572
81	AdvProp_efficientnet-b6	.572
82	resnet50_imagenet_100_seed-0	.572
83	BiT-S-R101x3	.571
84	omnivore_swinB	.571
85	Res2Net50_26w_4s	.571
86	resnet101_ecoset_full	.571
87	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.571
88	AT_efficientnet-b7	.570
89	resnet18_imagenet_full	.570
90	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.570
91	voneresnet-50	.570
92	resnet50_l2_3_robust	.570
93	0.5x_resnet-18_LC_w_sh_10_iter	.569
94	compact_vgg19_V4	.569
95	AdvProp_efficientnet-b7	.569
96	resnet18_imagenet21kP	.569
97	yudixie_resnet18_imagenet1kpret_0_240719	.569
98	inception_resnet_v2	.568
99	resnet18_ecoset_full	.568
100	konkle_alexnetgn_ipcl_ref01_primary_model	.568
101	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.568
102	inception_v2-tf	.568
103	voneresnet-50-robust	.568
104	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.568
105	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.567
106	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.567
107	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.567
108	AdvProp_efficientnet-b2	.567
109	mobilenet_v1_1.0_160	.567
110	convnext_tiny_imagenet_full_seed-0	.567
111	AdvProp_efficientnet-b0	.567
112	resnext101_32x48d_wsl	.567
113	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.567
114	efficientnet_b0_imagenet_full	.567
115	efficientnet_b0	.566
116	AT_efficientnet-b2	.566
117	mobilenet_v2_1_4_224	.566
118	resnet101_imagenet_full	.566
119	BiT-M-R152x2	.566
120	texture_shape_resnet50_trained_on_SIN	.566
121	resnet34_imagenet_full	.566
122	resnet-18-LC_w_sh_100_iter_m	.565
123	SWSL_resnext101_32x8d	.565
124	resnet-18-LC_w_sh_1_iter_m	.565
125	convnext_small_imagenet_full_seed-0	.565
126	omnivore_swinS	.565
127	resnet50_imagenet_full	.565
128	convnext_base_imagenet_full_seed-0	.565
129	resnet-152_v2-tf	.565
130	antialias-resnet152	.564
131	CORnet-S	.564
132	compact_resnet50_IT	.564
133	cv_18_dagger_408_pretrained	.564
134	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.564
135	BiT-S-R50x3	.563
136	omnivore_swinT	.563
137	resnet50_robust_l2_eps1	.563
138	BiT-M-R152x4	.563
139	resnet101	.563
140	vit_relpos_base_patch16_clsgap_224:sw_in1k	.563
141	resnet-101_v2-tf	.562
142	voneresnet-50-non_stochastic	.562
143	mobilenet_v1_1.0_224	.562
144	CLIP-RN50	.562
145	resnet-18	.562
146	resnet-18-LC_w_sh_1_iter_conv_init_m	.562
147	FrankRobWobv0	.562
148	resnet-18-LC_w_sh_10_iter_conv_init_m	.561
149	convnext_tiny_sup	.561
150	grcnn_v2_text_noise	.561
151	VOneCORnet-S	.561
152	resnet50_moco_v2	.561
153	mobilenet_v2_1.0_128-tf	.561
154	convnext_femto_ols:d1_in1k	.561
155	BiT-S-R152x2	.561
156	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.560
157	nasnet_mobile	.560
158	BiT-M-R101x1	.560
159	resnext101_32x32d_wsl	.560
160	mobilenet_v2_1_3_224	.559
161	AT_efficientnet-b4	.559
162	resnet50-vicreg	.559
163	alexnet	.559
164	densenet-169	.559
165	regnet_y_400mf	.559
166	AlexNet_SIN_fov4	.558
167	barlow-twins-resnet50	.558
168	inception_v3-tf	.558
169	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.558
170	deit_small_imagenet_full_seed-0	.557
171	nasnet_large-tf	.557
172	densenet-201	.557
173	grcnn_109	.557
174	resnet50_ecoset_full	.557
175	resnet50-vicregl0p9	.557
176	BiT-M-R50x1	.556
177	resnet-18_test_m	.556
178	resnet18-local_aggregation	.556
179	mobilenet_v2_1.3_224-tf	.556
180	cvt_cvt-21-384-in1k_4_LucyV4	.555
181	cvt_cvt-13-384-in1k_4_LucyV4	.554
182	resnet50-vicregl0p75	.554
183	resnet50-VITO-8deg-cc	.554
184	pnasnet_large-tf	.554
185	0.5x_resnet-18_LC_w_sh_100_iter	.554
186	grcnn	.554
187	resnet_50_v2	.554
188	tv_efficientnet-b1	.554
189	resnet50-barlow	.553
190	mobilenet_v2_1_0_128	.553
191	alexnet_random_linf8_perturb	.553
192	densenet-121	.553
193	vgg_19	.553
194	inception_v3	.553
195	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.553
196	mobilenet_v1_0.75_128	.553
197	mobilenet_v2_0_75_224	.553
198	RN50	.552
199	convnext_tiny:in12k_ft_in1k	.552
200	alexnet_random_l2_3_perturb	.552
201	deit_base_imagenet_full_seed-0	.552
202	vonealexnet_gaussian_noise_std4_fixed	.552
203	ViT-B/32	.552
204	CLIP_resnet50	.552
205	CLIP_resnet50_float32	.552
206	CLIP_ViT-B_32	.551
207	cornet_s	.551
208	mobilenet_v2_1.4_224-tf	.551
209	mobilenet_v2_1_0_192	.550
210	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.550
211	mobilenet_v2_1.0_160-tf	.550
212	fixres_resnext101_32x48d_wsl	.550
213	cvt_cvt-13-224-in1k_4_LucyV4	.550
214	mobilenet_v1_1.0_192	.550
215	compact_resnet50_robust_IT	.549
216	mobilenet_v2_0.75_224-tf	.549
217	mobilenet_v1_0.75_160	.549
218	mobilenet_v2_1_0_224	.549
219	resnet50-moclr8deg	.549
220	compact_cornets_V4	.549
221	mobilenet_v2_0_75_192	.549
222	grcnn_robust_v1	.549
223	convnext_large_imagenet_full_seed-0	.548
224	resnet18-instance_recognition	.548
225	BiT-S-R101x1	.548
226	BiT-S-R50x1	.548
227	alexnet	.548
228	alexnet-baseline	.548
229	alexnet	.548
230	alexnet_workflow_trigger	.548
231	alexnet	.548
232	alexnet	.548
233	alexnet	.548
234	alexnet	.548
235	alexnet	.548
236	alexnet	.548
237	alexnet	.548
238	alexnet_ks_torevert	.548
239	convnext_xlarge:fb_in22k_ft_in1k	.548
240	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.548
241	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.548
242	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.548
243	convnext_base:clip_laiona_augreg_ft_in1k_384	.547
244	vgg-19-keras	.547
245	BiT-M-R50x3	.547
246	resnet50-simclr-vissl	.546
247	mobilenet_v2_1.0_192-tf	.546
248	mobilenet_v1_1.0_128	.546
249	0.5x_resnet-18_LC_w_sh_1_iter	.546
250	imagenet_l2_3_0	.546
251	0.5x_resnet-18	.546
252	vit_large_patch14_clip_224:openai_ft_in1k	.545
253	mobilenet_v1_0.75_192	.545
254	resnet50-vitoimagevidnet8	.545
255	resnet50_robust_l2_eps3	.545
256	yudixie_resnet50_object_class_0_240908	.544
257	mobilenet_v1_0.75_224	.544
258	resnet50_byol	.544
259	resnet50_byol	.544
260	resnet50-SIN	.544
261	mobilenet_v2_0.75_192-tf	.544
262	cvt_cvt-21-224-in1k_4_LucyV4	.542
263	nasnet_mobile-tf	.542
264	vit_base_patch16_dinov3:lvd1689m	.541
265	efficientnet-b7	.541
266	mobilenet_v2_0.75_160-tf	.541
267	mobilenet_v2_1.0_224-tf	.541
268	inception_v4-tf	.541
269	mobilenet_v2_1_0_160	.541
270	mobilenet_v2_0.75_128	.540
271	squeezenet1_0	.540
272	BiT-S-R152x4	.540
273	yudixie_resnet50_translation_reg_0_240908	.540
274	vit_base_patch14_dinov2:lvd142m	.540
275	yudixie_resnet50_category_class_0_240908	.539
276	CORnet-Z	.539
277	resnet-18-LC_1st_conv_m	.538
278	mobilenet_v2_0_5_192	.538
279	ReAlnet01_cornet_fov12	.538
280	resnet18-relative_position	.537
281	resnet-18-LC_m	.537
282	mobilenet_v1_0.5_192	.537
283	resnet-34	.537
284	vit_large_patch14_clip_224:laion2b_ft_in1k	.536
285	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.536
286	mobilenet_v2_0_5_224	.536
287	shufflenet_v2_x1_0	.536
288	squeezenet1_1	.535
289	RN50	.535
290	inception_v1	.535
291	resnet-18-LC_w_sh_10_iter_m	.535
292	resnet18-contrastive_multiview	.535
293	mobilenet_v2_0.5_224-tf	.534
294	mobilenet_v2_0.5_128	.534
295	yudixie_resnet50_distance_translation_0_240908	.534
296	mobilenet_v1_0.25_224	.533
297	mobilenet_v1_0.5_224	.533
298	convnext_small_imagenet_100_seed-0	.532
299	resnet50_linf_8_robust	.532
300	mobilenet_v2_0_75_160	.531
301	yudixie_resnet50_translation_rotation_0_240908	.531
302	yudixie_resnet50_distance_reg_0_240908	.531
303	resnet18-supervised	.531
304	yudixie_resnet50_distance_translation_rotation_0_240908	.531
305	yudixie_resnet50_distance_rotation_0_240908	.530
306	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.530
307	mobilenet_v2_1.0_96	.529
308	vit_large_patch14_clip_336:laion2b_ft_in1k	.528
309	mobilenet_v2_0.5_192-tf	.528
310	convnext_large:fb_in22k_ft_in1k	.528
311	mobilenet_v1_0.5_160	.528
312	0.5x_resnet-18_LC	.527
313	resnet-18-LC_conv_init_m	.527
314	mobilenet_v1_0.5_128	.524
315	mobilenet_v2_0.35_224	.523
316	alexnet_reduced_aliasing_early_checkpoint	.522
317	resnet18-deepcluster	.522
318	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.521
319	resnet50_primary_visual_cortex	.520
320	mobilenet_v2_0.5_160	.520
321	resnet50_simclr	.520
322	r3m_resnet18	.519
323	ReAlnet10	.519
324	r3m_resnet34	.517
325	mobilenet_v2_0.35_192	.517
326	ReAlnet02	.515
327	yudixie_resnet18_category_class_0_240719	.515
328	ReAlnet08	.515
329	alexnet_early_checkpoint	.515
330	mobilenet_v2_0.75_96	.514
331	ReAlnet07	.513
332	texture_shape_alexnet_trained_on_SIN	.512
333	ReAlnet03	.510
334	yudixie_resnet50_rotation_reg_0_240908	.510
335	AlexNet_SIN	.509
336	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.509
337	ReAlnet06	.509
338	imagenet_l2_10_0	.509
339	ReAlnet01	.508
340	ReAlnet09	.507
341	ReAlnet04	.506
342	mobilenet_v1_0.25_192	.506
343	ReAlnet05	.505
344	mobilenet_v2_0.5_96	.503
345	yudixie_resnet18_object_class_0_240719	.502
346	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.500
347	alexnet_l2_3_robust	.500
348	yolos_tiny	.499
349	mobilenet_v1_0.25_160	.499
350	mobilenet_v2_0.35_160	.497
351	yudixie_resnet18_distance_translation_rotation_0_240719	.497
352	compact_cornets_IT	.494
353	ReAlnet01_cornet_fov16	.493
354	resnet50	.493
355	resnet-50-pytorch	.491
356	resnet-50-robust	.491
357	r3m_resnet50	.491
358	vggface	.489
359	yudixie_resnet18_translation_rotation_0_240719	.489
360	yudixie_resnet18_distance_reg_0_240719	.488
361	yudixie_resnet18_distance_rotation_0_240719	.485
362	yudixie_resnet18_translation_reg_0_240719	.485
363	artResNet18_1	.484
364	ViT_L_32_imagenet1k	.483
365	r3m_resnet50_nocrop	.479
366	compact_vgg19_IT	.479
367	mobilenet_v2_0.35_96	.476
368	yudixie_resnet18_rotation_reg_0_240719	.476
369	yudixie_resnet18_distance_translation_0_240719	.475
370	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.474
371	deit_small_imagenet_100_seed-0	.474
372	mobilenet_v1_0.25_128	.462
373	my-model	.462
374	mobilenet_v2_0.35_128	.457
375	resnet50_imagenet_10_seed-0	.457
376	mobilenet_v2_1-4_224_pytorch	.455
377	AlexNet_SIN_fov12	.447
378	prednet	.446
379	resnet18-depth_prediction	.443
380	alexnet_training_seed_01_fov4	.442
381	resnet50-cifar	.418
382	alexnet_linf_8_robust	.413
383	alexnet_fov12	.412
384	alexnet_robust_correct	.399
385	resnet18-contrastive_predictive	.394
386	alexnet_fov16	.378
387	AlexNet_SIN_fov16	.374
388	resnet18-autoencoder	.367
389	alexnet_training_seed_02	.366
390	briaai_rmbg_1_4	.364
391	v1-pyr-nodown	.362
392	resnet-152_v2_pytorch	.358
393	resnet50-meshes-lt-100-original-pretrained	.358
394	alexnet_training_seed_06	.356
395	alexnet_training_seed_09	.350
396	CORnetZ_CIFAR10	.349
397	alexnet_training_seed_01	.347
398	alexnet_training_seed_03	.345
399	resnet50-meshes-lt-100-original-scratch	.345
400	alexnet_training_seed_07	.344
401	alexnet_training_seed_08	.343
402	alexnet_training_seed_10	.342
403	alexnet_training_seed_05	.341
404	resnet50_pretrained_with_retinal_waves	.340
405	CORnetZ_CIFAR10_bs32_20_04	.340
406	alexnet_training_seed_04	.336
407	yudixie_resnet50_random_0_240908	.331
408	mobilevit_small	.330
409	resnet-18_untrained	.329
410	resnet50_FractalDB	.328
411	resnet-50_untrained	.327
412	alexnet_training_seed_01_fov12	.322
413	resnet-50x2_untrained	.321
414	yudixie_resnet18_random_0_240719	.317
415	alexnet_training_seed_01_fov16	.304
416	resnet50_imagenet_1_seed-0	.298
417	resnet-18-LC_untrained	.270
418	deit_small_imagenet_10_seed-0	.156
419	convnext_small_imagenet_10_seed-0	.121
420	fitvid_trained_on_physion	.117
421	deit_small_imagenet_1_seed-0	.102
422	convnext_small_imagenet_1_seed-0	.092
423	pixels	.075
424	my-model	.075
425	vit_base_patch14_reg4_dinov2:lvd142m

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

0.89.

Note that scores are relative to this ceiling.

Data: Sanghavi2020.V4

5760 stimuli recordings from 47 sites in V4

Metric: pls