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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Marques2020_DeValois1982-peak_sf")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet-18-LC_w_sh_100_iter_m	.964
2	resnet50_imagenet_10_seed-0	.950
3	alexnet_training_seed_01	.943
4	resnet-18-LC_m	.941
5	resnet50_linf_4_robust	.935
6	alexnet_training_seed_08	.933
7	AlexNet_SIN_fov12	.933
8	mobilenet_v2_1_0_192	.925
9	vonegrcnn_62e_nobn	.925
10	resnet50_linf_8_robust	.923
11	vonegrcnn_52e_full	.917
12	alexnet_training_seed_01_fov12	.917
13	alexnet_reduced_aliasing_early_checkpoint	.911
14	vonegrcnn_47e	.908
15	vgg-19-keras	.901
16	resnet50_l2_3_robust	.897
17	resnet50_robust_l2_eps1	.895
18	resnet-18-LC_w_sh_100_iter_conv_init_m	.893
19	ReAlnet01_cornet_fov16	.891
20	alexnet_training_seed_10	.888
21	yudixie_wbh_object_class_scaling_0415_run_1	.886
22	resnet-18-LC_w_sh_1_iter_conv_init_m	.885
23	pnasnet_large_halfPrecision	.882
24	alexnet_fov12	.878
25	resnet50_robust_l2_eps3	.876
26	alexnet_training_seed_06	.873
27	voneresnet-50-non_stochastic	.872
28	BiT-S-R152x2	.872
29	yudixie_wbh_object_class_scaling_0415_run_3	.871
30	nasnet_large-tf	.868
31	RN50	.865
32	xception	.862
33	inception_v1	.862
34	mobilenet_v2_1.0_96	.861
35	mobilenet_v2_0_75_160	.860
36	mobilenet_v2_0.75_160-tf	.859
37	vgg-16-keras	.857
38	alexnet_training_seed_04	.857
39	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.858
40	0.5x_resnet-18_LC_w_sh_100_iter	.855
41	densenet-201-keras	.854
42	artResNet18_1	.853
43	AlexNet_SIN	.852
44	resnet-50-robust	.852
45	effnetb1_272x240	.851
46	yudixie_wbh_object_class_scaling_0415_run_2	.850
47	grcnn	.850
48	voneresnet-50	.847
49	resnet-50_untrained	.844
50	yudixie_wbh_object_class_scaling_0415_run_0	.844
51	mobilenet_v2_1_0_224	.843
52	AlexNet_SIN_fov16	.842
53	grcnn_109	.837
54	deepeisnn_ei_imagenet_resnet18	.836
55	voneresnet-50-robust	.835
56	resnet50-moclr8deg	.835
57	VOneCORnet-S	.834
58	mobilenet_v2_0.75_96	.832
59	effnetv2m_custom384	.831
60	resnet-18-LC_d_w_sh_1x1_conv_init_m	.830
61	imagenet_l2_3_0	.829
62	omnivore_swinB	.829
63	resnet50_byol	.828
64	alexnet_training_seed_07	.826
65	inception_v4-tf	.825
66	pnasnet_large-tf	.822
67	cvt_cvt-13-384-in1k_4_LucyV4	.818
68	alexnet_training_seed_09	.817
69	convnext_tiny_imagenet_full_seed-0	.816
70	mobilenet_v2_0.75_224-tf	.815
71	densenet-201	.814
72	mobilenet_v2_0.5_224-tf	.812
73	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.812
74	densenet-169	.812
75	resnet-18-LC_w_sh_10_iter_m	.811
76	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.811
77	mobilenet_v2_0_5_224	.810
78	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.808
79	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.805
80	resnet_50_v1	.805
81	resnet-18-LC_w_sh_10_iter_conv_init_m	.804
82	resnet_50_v1_spiking_l4	.803
83	yudixie_resnet50_imagenet1kpret_0_240908	.804
84	resnet_50_v1_spiking_l3	.803
85	resnet_50_v1_spiking	.803
86	resnet50_simclr	.802
87	alexnet	.803
88	resnet50_tutorial	.803
89	resnet_50_v1_spiking_l4a	.803
90	resnet50-sup	.803
91	nasnet_mobile	.801
92	SWSL_resnext101_32x8d	.801
93	omnivore_swinT	.799
94	resnet50_moco_v2	.797
95	efficientnet_b0_imagenet_full	.798
96	densenet-169-keras	.796
97	resnet-18_untrained	.795
98	resnet-18-LC_conv_init_m	.795
99	omnivore_swinS	.794
100	alexnet_fov16	.793
101	focalnet_tiny_lrf_in1k	.793
102	grcnn_robust_v1	.792
103	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.791
104	konkle_alexnetgn_ipcl_ref01_primary_model	.790
105	resnet-50x2_untrained	.790
106	alexnet_training_seed_02	.788
107	vgg_16	.787
108	resnet50_FractalDB	.787
109	blt_vs	.787
110	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.783
111	resnet-152_v1-tf	.783
112	yudixie_resnet18_imagenet1kpret_0_240719	.783
113	mobilenet_v2_0_75_192	.782
114	imagenet_l2_10_0	.782
115	yudixie_wbh_object_class_scaling_0415_imagenet	.782
116	resnet50-SIN	.782
117	resnet-101_v2-tf	.779
118	convnext_large_imagenet_full_seed-0	.778
119	yudixie_resnet18_object_class_0_240719	.777
120	cvt_cvt-13-224-in1k_4_LucyV4	.776
121	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.774
122	resnet50-VITO-8deg-cc	.773
123	r3m_resnet18	.773
124	BiT-M-R101x3	.772
125	resnet50-barlow	.771
126	nasnet_mobile-tf	.770
127	resnet50-vicreg	.769
128	convnext_small_imagenet_1_seed-0	.769
129	BiT-M-R101x1	.769
130	alexnet_training_seed_03	.768
131	0.5x_resnet-18_LC_w_sh_10_iter	.768
132	BiT-S-R50x3	.766
133	resnet50_random_l2_perturb	.764
134	resnet50	.764
135	resnet50-meshes-lt-100-original-scratch	.763
136	alexnet_random_linf8_perturb	.764
137	vggface	.763
138	SWSL_resnet50	.762
139	resnet50-SIN_IN_IN	.759
140	0.5x_resnet-18_LC	.756
141	mobilenet_v2_0_75_224	.756
142	CLIP_resnet50	.755
143	CLIP_resnet50_float32	.754
144	resnet50-vicregl0p75	.755
145	my-model	.755
146	resnet-101_v1-tf	.752
147	convnext_tiny:in12k_ft_in1k	.752
148	AdvProp_efficientnet-b7	.749
149	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.749
150	alexnet_training_seed_01_fov4	.748
151	mobilenet_v2_1_0_160	.747
152	densenet-121	.745
153	convnext_femto_ols:d1_in1k	.743
154	convnext_large:fb_in22k_ft_in1k	.742
155	BiT-M-R152x2	.742
156	alexnet_training_seed_05	.741
157	convnext_small_imagenet_10_seed-0	.741
158	BiT-S-R101x1	.741
159	resnet-50_v2-tf	.740
160	yudixie_resnet18_distance_reg_0_240719	.740
161	mobilenet_v2_1.3_224-tf	.740
162	resnet-152_v2-tf	.737
163	texture_shape_resnet50_trained_on_SIN	.737
164	resnet-152_v2_pytorch	.733
165	AdvProp_efficientnet-b2	.732
166	resnet50_random_linf8_perturb	.732
167	convnext_tiny_sup	.731
168	AT_efficientnet-b2	.731
169	convnext_small_imagenet_full_seed-0	.729
170	vonealexnet_gaussian_noise_std4_fixed	.728
171	yudixie_resnet50_random_0_240908	.727
172	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.726
173	convnext_base_fb_in22k_ft_in1k	.726
174	cv_18_dagger_408_pretrained	.725
175	compact_vgg19_V4	.726
176	mobilenet_v2_0_5_192	.724
177	resnet_SIN_IN_FT_IN	.725
178	resnet18_fair	.722
179	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.723
180	BiT-M-R50x1	.722
181	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.721
182	shufflenet_v2_x1_0	.721
183	inception_v3-tf	.720
184	mobilenet_v2_1_4_224	.719
185	mobilenet_v2_0.75_192-tf	.719
186	compact_resnet50_IT	.717
187	deit_base_imagenet_full_seed-0	.717
188	0.5x_resnet-18_LC_w_sh_1_iter	.716
189	inception_resnet_v2	.714
190	densenet-121-keras	.712
191	yudixie_resnet50_translation_rotation_0_240908	.710
192	mobilenet_v2_1_3_224	.708
193	BiT-S-R101x3	.708
194	AdvProp_efficientnet-b4	.707
195	deit_small_imagenet_100_seed-0	.706
196	resnet-50_v1-tf	.706
197	convnext_xlarge:fb_in22k_ft_in1k	.703
198	CLIP-RN50	.703
199	antialiased-rnext101_32x8d	.703
200	compact_resnet50_robust_V4	.702
201	yudixie_resnet50_rotation_reg_0_240908	.701
202	CORnetZ_CIFAR10_bs32_20_04	.702
203	deit3_base_patch16_224_fb_in22k_ft_in1k	.701
204	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.701
205	alexnet_early_checkpoint	.700
206	BiT-S-R152x4	.698
207	BiT-S-R50x1	.698
208	ReAlnet01_cornet_fov12	.696
209	r3m_resnet50_nocrop	.695
210	CORnetZ_CIFAR10	.694
211	inception_v2-tf	.695
212	yudixie_resnet50_object_class_0_240908	.692
213	resnet-18-LC_w_sh_1_iter_m	.692
214	yudixie_resnet50_category_class_0_240908	.691
215	grcnn_v2_text_noise	.691
216	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.690
217	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.690
218	BiT-M-R50x3	.690
219	compact_cornets_V4	.688
220	custom_model_cv_18_dagger_408	.687
221	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.687
222	yudixie_resnet50_distance_rotation_0_240908	.686
223	compact_cornets_IT	.687
224	efficientnet_b2_imagenet_full	.686
225	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.686
226	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.686
227	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.686
228	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.686
229	AdvProp_efficientnet-b8	.685
230	yudixie_resnet18_random_0_240719	.684
231	mobilenet_v2_0.5_192-tf	.681
232	resnet50_st_wzc_seed5_2_323	.680
233	vit_relpos_base_patch16_clsgap_224:sw_in1k	.681
234	yudixie_resnet50_distance_translation_0_240908	.680
235	mobilenet_v1_0.25_128	.677
236	alexnet_l2_3_robust	.676
237	mobilenet_v2_0.75_128	.675
238	mobilenet_v2_1.0_192-tf	.675
239	eBarlow_lmda_02_1000ep	.674
240	BiT-M-R152x4	.673
241	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.671
242	resnet50_ewconplus_wzc	.671
243	ViT_L_32_imagenet1k	.671
244	r3m_resnet50	.670
245	yudixie_resnet50_distance_reg_0_240908	.669
246	antialias-resnet152	.665
247	resnet50_st_wzc_2	.659
248	cvt_cvt-21-224-in1k_4_LucyV4	.655
249	yudixie_resnet50_distance_translation_rotation_0_240908	.653
250	vit_large_patch14_clip_224:openai_ft_in1k	.652
251	antialiased-r50	.651
252	yudixie_resnet18_distance_translation_0_240719	.650
253	yudixie_resnet18_category_class_0_240719	.650
254	FrankRobWobv0	.647
255	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.643
256	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.641
257	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.640
258	resnet50_st_wzc_noseed_2_323	.639
259	convnext_small_imagenet_100_seed-0	.638
260	deit_large_imagenet_full_seed-0	.638
261	alexnet_training_seed_01_fov16	.638
262	resnet50-vicregl0p9	.636
263	efficientnet_b1_imagenet_full	.635
264	yudixie_resnet18_translation_rotation_0_240719	.635
265	cvt_cvt-21-384-in1k_4_LucyV4	.635
266	vit_base_patch16_clip_224:openai_ft_in1k	.634
267	resnet50_st_wzc_seed4_2_323	.631
268	resnet_101_v1	.628
269	AdvProp_efficientnet-b0	.627
270	aughost_fair_resnet18	.626
271	resnet50-SIN_IN	.626
272	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.625
273	resnet50_primary_visual_cortex	.623
274	vgg_19	.622
275	r3m_resnet34	.620
276	mobilenet_v2_1.4_224-tf	.620
277	convnext_base_imagenet_full_seed-0	.619
278	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.615
279	compact_resnet50_V4	.614
280	resnet50_st_wzc_2_323	.613
281	compact_resnet50_robust_IT	.612
282	yolos_tiny	.608
283	resnet50_st_wzc_seed7_2_323	.607
284	mobilenet_v2_1_0_128	.605
285	Res2Net50_26w_4s	.605
286	yudixie_resnet50_translation_reg_0_240908	.602
287	inception_v3	.601
288	barlow-twins-resnet50	.597
289	resnet50_ewconplus_wzc_2_323	.596
290	mobilenet_v2_0.35_224	.595
291	mobilenet_v2_1.0_128-tf	.593
292	mobilenet_v2_1.0_224-tf	.592
293	mobilenet_v2_1.0_160-tf	.592
294	compact_vgg19_IT	.592
295	resnet50_ewconplus_wzc_seed6_2_323	.591
296	resnet50_st_wzc_seed3_2_323	.591
297	yudixie_resnet18_translation_reg_0_240719	.586
298	yudixie_resnet18_distance_translation_rotation_0_240719	.583
299	resnet50_st_wzc_seed6_2_323	.583
300	resnet-18-LC_untrained	.580
301	CORnet-Z	.579
302	alexnet_robust_correct	.579
303	resnet50_ewconplus_wzc_seed7_2_323	.577
304	resnet-18-LC_1st_conv_m	.576
305	convnext_base_fb_in1k	.575
306	resnet50-meshes-lt-100-original-pretrained	.572
307	CORnet-S	.570
308	ReAlnet07_ALL	.569
309	resnet50_ewconplus_wzc_seed3_2_323	.568
310	mobilenet_v2_1-4_224_pytorch	.567
311	AdvProp_efficientnet-b6	.564
312	ReAlnet10_ALL	.563
313	briaai_rmbg_1_4	.560
314	ReAlnet02_ALL	.560
315	resnet101	.558
316	yudixie_resnet18_rotation_reg_0_240719	.557
317	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.553
318	resnet18_imagenet21kP	.554
319	resnet50_imagenet_1_seed-0	.553
320	yudixie_resnet18_distance_rotation_0_240719	.552
321	mobilenet_v2_0.5_128	.550
322	vision_transformer_vit_large_patch16_224	.549
323	ReAlnet03_ALL	.548
324	ReAlnet06_ALL	.548
325	ReAlnet08_ALL	.547
326	convnext_base_fb_in1k_gram_aligned_dinov3	.547
327	ReAlnet05_ALL	.546
328	ReAlnet09_ALL	.546
329	ReAlnet01_ALL	.546
330	resnet50_ewconplus_wzc_seed5_2__323	.545
331	ReAlnet07	.544
332	resnext101_32x8d_wsl	.543
333	ReAlnet07_cornet	.543
334	ReAlnet04_ALL	.543
335	ReAlnet08	.541
336	ReAlnet08_cornet	.541
337	resnet50_ewconplus_wzc_seed2_2__323	.540
338	mobilenet_v2_0.5_160	.539
339	efficientnet-b7	.537
340	resnet50_pretrained_with_retinal_waves	.534
341	resnet50_ewconplus_wzc_seed4_2_323	.532
342	convnext_base:clip_laiona_augreg_ft_in1k_384	.529
343	ViT-B/32	.529
344	0.5x_resnet-18	.528
345	ReAlnet01_cornet	.527
346	ReAlnet01	.528
347	ReAlnet04	.525
348	ReAlnet04_cornet	.524
349	vit_large_patch14_clip_336:laion2b_ft_in1k	.524
350	resnet50_ewconplus_noseed_2_323	.522
351	ReAlnet09_cornet	.522
352	ReAlnet10_cornet	.522
353	ReAlnet09	.520
354	efficientnet_b0	.521
355	ReAlnet10	.521
356	resnet-18_test_m	.516
357	resnet50-simclr-vissl	.515
358	ReAlnet06_cornet	.513
359	ReAlnet06	.512
360	alexnet_linf_8_robust	.512
361	resnet_50_v2	.511
362	v1-pyr-nodown	.510
363	ReAlnet03	.509
364	ReAlnet03_cornet	.509
365	resnet101_ecoset_full	.506
366	vit_large_patch14_clip_224:laion2b_ft_in1k	.503
367	hmax	.503
368	deepeisnn_ei_cifar10_resnet18	.502
369	resnet101_imagenet_full	.498
370	texture_shape_alexnet_trained_on_SIN	.497
371	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.493
372	cornet_s	.487
373	resnet50_imagenet_full	.486
374	ReAlnet02_cornet	.486
375	ReAlnet02	.485
376	ReAlnet05	.483
377	ReAlnet05_cornet	.483
378	resnet152_ecoset_full	.481
379	alexnet_fov4	.480
380	resnet50_ecoset_full	.472
381	resnet50-vitoimagevidnet8	.473
382	resnet18_imagenet_full	.472
383	resnet18_ecoset_full	.471
384	inception_v1-tf	.466
385	CLIP_ViT-B_32	.460
386	alexnet_random_l2_3_perturb	.444
387	resnet50	.443
388	resnet34_ecoset_full	.443
389	deit_small_imagenet_full_seed-0	.442
390	resnet50_imagenet_100_seed-0	.435
391	resnet152_imagenet_full	.429
392	mobilevit_small	.429
393	my-model	.425
394	resnet34_imagenet_full	.397
395	AlexNet_SIN_fov4	.382
396	deepeisnn_ei_cifar10_vgg19	.382
397	vit_base_patch14_reg4_dinov2-lvd142m	.332
398	deit_small_imagenet_10_seed-0	.330
399	vit_base_patch14_dinov2-lvd142m	.310
400	deit3_base_patch16_224_fb_in1k	.303
401	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.302
402	vit_base_patch16_dinov3-lvd1689m	.258
403	resnet50-cifar	.248
404	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.245
405	ReAlnet01_cornet_fov4	.196
406	mobilenet_v2_0.35_160
407	resnet18-supervised
408	r3m_resnet34_nocrop
409	fitvid_trained_on_physion
410	openclip
411	resnext101_32x32d_wsl
412	resnext101_32x48d_wsl
413	resnet50_ImageNet
414	regnet_y_400mf
415	tv_efficientnet-b1
416	alexnet_ks_torevert
417	yudixie_resnet50_imagenet1kpret_0_240312
418	resnet_152_v1
419	resnext101_32x16d_wsl
420	densenet_201_pytorch
421	pnasnet_large_pytorch
422	inception_v3_pytorch
423	inception_v4
424	nasnet_large
425	deit_small_imagenet_1_seed-0
426	pnasnet_large
427	vonegrcnn_62e_nobn
428	resnet_101_v2
429	vonegrcnn_47e
430	vonegrcnn_52e_full
431	resnet_152_v2
432	pr1_stl10_disentangled_alpha04
433	predictive_coding_pc

Benchmark bibtex

None

Ceiling

0.97.

Note that scores are relative to this ceiling.

Data: Marques2020_DeValois1982

Metric: peak_sf