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("Marques2020_DeValois1982-pref_or")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet50-SIN_IN	1.0
2	nasnet_large-tf	.998
3	resnet-18-LC_w_sh_10_iter_conv_init_m	.997
4	imagenet_l2_10_0	.997
5	resnet50-vicreg	.997
6	resnet50	.996
7	vgg_19	.995
8	inception_v4-tf	.996
9	antialiased-r50	.995
10	SWSL_resnet50	.995
11	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.993
12	resnet18_ecoset_full	.992
13	AlexNet_SIN_fov12	.993
14	resnet50_random_linf8_perturb	.992
15	voneresnet-50-robust	.991
16	deit_small_imagenet_100_seed-0	.991
17	vit_large_patch14_clip_224:laion2b_ft_in1k	.991
18	voneresnet-50	.990
19	voneresnet-50-non_stochastic	.991
20	pnasnet_large-tf	.989
21	inception_v1	.989
22	resnet-50-robust	.988
23	resnet50-vicregl0p9	.988
24	SWSL_resnext101_32x8d	.987
25	mobilenet_v2_0_75_192	.989
26	vit_relpos_base_patch16_clsgap_224:sw_in1k	.988
27	vit_base_patch16_clip_224:openai_ft_in1k	.986
28	alexnet	.987
29	resnet50-barlow	.987
30	resnet50-vicregl0p75	.986
31	resnet50_ecoset_full	.987
32	resnet50_linf_8_robust	.987
33	resnet_SIN_IN_FT_IN	.987
34	v1-pyr-nodown	.986
35	ReAlnet06_cornet	.985
36	yudixie_resnet50_object_class_0_240908	.985
37	ReAlnet06	.985
38	resnet50_robust_l2_eps1	.984
39	vgg-16-keras	.984
40	resnet101_ecoset_full	.984
41	inception_v3-tf	.984
42	resnet_50_v2	.983
43	alexnet_fov4	.983
44	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.982
45	mobilenet_v2_1_0_192	.982
46	inception_v2-tf	.982
47	vit_large_patch14_clip_224:openai_ft_in1k	.983
48	hmax	.983
49	VOneCORnet-S	.983
50	resnet34_imagenet_full	.982
51	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.982
52	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.983
53	BiT-M-R50x3	.981
54	resnet50-sup	.980
55	alexnet_l2_3_robust	.980
56	ReAlnet01_ALL	.978
57	ReAlnet01_cornet_fov4	.979
58	resnet18_imagenet_full	.980
59	alexnet_linf_8_robust	.980
60	omnivore_swinB	.980
61	resnet_50_v1_spiking_l3	.978
62	ReAlnet02	.979
63	yudixie_resnet50_imagenet1kpret_0_240908	.978
64	resnet_50_v1_spiking_l4a	.978
65	resnet_101_v2	.979
66	resnet_50_v1	.979
67	ReAlnet02_cornet	.979
68	compact_vgg19_V4	.979
69	resnet_50_v1_spiking_l4	.979
70	resnet50_tutorial	.977
71	resnet_50_v1_spiking	.978
72	yudixie_resnet50_rotation_reg_0_240908	.978
73	alexnet_robust_correct	.976
74	antialias-resnet152	.977
75	alexnet_fov12	.977
76	mobilenet_v2_1_3_224	.977
77	vonegrcnn_47e	.976
78	ReAlnet09_ALL	.977
79	antialiased-rnext101_32x8d	.974
80	inception_v3	.976
81	ReAlnet02_ALL	.976
82	ReAlnet10	.975
83	resnet50-moclr8deg	.974
84	convnext_femto_ols:d1_in1k	.974
85	ReAlnet10_cornet	.975
86	resnet101	.972
87	resnet-18-LC_w_sh_1_iter_m	.973
88	cvt_cvt-21-224-in1k_4_LucyV4	.974
89	resnet50_linf_4_robust	.973
90	resnet152_ecoset_full	.973
91	cvt_cvt-13-384-in1k_4_LucyV4	.972
92	CLIP_ViT-B_32	.973
93	resnet-101_v1-tf	.972
94	omnivore_swinS	.973
95	cvt_cvt-13-224-in1k_4_LucyV4	.971
96	alexnet_random_l2_3_perturb	.972
97	ReAlnet01_cornet	.971
98	alexnet_fov16	.972
99	ReAlnet08_ALL	.970
100	resnet50-simclr-vissl	.972
101	ReAlnet01	.970
102	ReAlnet04_ALL	.972
103	ReAlnet04_cornet	.970
104	0.5x_resnet-18	.970
105	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.969
106	ReAlnet04	.971
107	ReAlnet03_cornet	.970
108	resnet50_random_l2_perturb	.969
109	ReAlnet10_ALL	.970
110	ReAlnet03	.969
111	resnet101_imagenet_full	.968
112	mobilenet_v2_1_4_224	.969
113	vit_large_patch14_clip_336:laion2b_ft_in1k	.967
114	barlow-twins-resnet50	.967
115	convnext_base_imagenet_full_seed-0	.968
116	vonegrcnn_52e_full	.968
117	ReAlnet09	.967
118	resnet50_l2_3_robust	.967
119	deit_base_imagenet_full_seed-0	.967
120	resnet50-meshes-lt-100-original-scratch	.966
121	ReAlnet09_cornet	.965
122	ReAlnet05_ALL	.966
123	densenet-201	.965
124	CLIP-RN50	.965
125	resnet-50_v2-tf	.966
126	alexnet_early_checkpoint	.966
127	AlexNet_SIN	.965
128	resnet50-vitoimagevidnet8	.964
129	resnet-50_v1-tf	.964
130	resnet50_byol	.965
131	vision_transformer_vit_large_patch16_224	.963
132	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.963
133	convnext_base:clip_laiona_augreg_ft_in1k_384	.963
134	ReAlnet07	.964
135	ReAlnet03_ALL	.964
136	r3m_resnet34_nocrop	.963
137	ReAlnet07_ALL	.963
138	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.963
139	ReAlnet07_cornet	.963
140	vonegrcnn_62e_nobn	.963
141	vonealexnet_gaussian_noise_std4_fixed	.963
142	CORnet-S	.962
143	vgg-19-keras	.963
144	ReAlnet05	.963
145	ReAlnet05_cornet	.963
146	resnet-18-LC_w_sh_1_iter_conv_init_m	.962
147	ReAlnet06_ALL	.959
148	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.960
149	ReAlnet08_cornet	.960
150	mobilenet_v2_1_0_224	.961
151	ReAlnet08	.960
152	imagenet_l2_3_0	.960
153	efficientnet_b1_imagenet_full	.959
154	BiT-S-R101x1	.959
155	resnet-101_v2-tf	.960
156	cvt_cvt-21-384-in1k_4_LucyV4	.960
157	grcnn_robust_v1	.958
158	resnet152_imagenet_full	.959
159	BiT-S-R50x1	.957
160	compact_cornets_V4	.957
161	grcnn_v2_text_noise	.956
162	resnet-18_test_m	.956
163	resnet34_ecoset_full	.956
164	FrankRobWobv0	.954
165	resnext101_32x8d_wsl	.955
166	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.955
167	resnet50_moco_v2	.954
168	mobilenet_v2_0_75_160	.954
169	BiT-S-R50x3	.955
170	CORnet-Z	.954
171	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.954
172	BiT-S-R152x2	.953
173	omnivore_swinT	.954
174	cornet_s	.952
175	AdvProp_efficientnet-b7	.951
176	yudixie_resnet50_translation_reg_0_240908	.951
177	vgg_16	.950
178	cv_18_dagger_408_pretrained	.950
179	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.951
180	texture_shape_resnet50_trained_on_SIN	.950
181	CLIP_resnet50	.949
182	mobilenet_v2_1.0_192-tf	.948
183	resnet50_ewconplus_wzc	.947
184	convnext_large_imagenet_full_seed-0	.950
185	CLIP_resnet50_float32	.948
186	resnet50_robust_l2_eps3	.949
187	alexnet_reduced_aliasing_early_checkpoint	.947
188	resnet-18-LC_w_sh_100_iter_conv_init_m	.948
189	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.947
190	AdvProp_efficientnet-b8	.946
191	convnext_large:fb_in22k_ft_in1k	.947
192	densenet-169	.945
193	ViT_L_32_imagenet1k	.945
194	yudixie_resnet18_imagenet1kpret_0_240719	.943
195	blt_vs	.943
196	custom_model_cv_18_dagger_408	.943
197	inception_resnet_v2	.941
198	yudixie_resnet18_translation_rotation_0_240719	.941
199	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.940
200	effnetv2m_custom384	.939
201	resnet50_primary_visual_cortex	.940
202	resnet-152_v2-tf	.940
203	BiT-S-R152x4	.938
204	alexnet_training_seed_09	.938
205	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.939
206	resnet50_imagenet_100_seed-0	.938
207	BiT-S-R101x3	.938
208	yudixie_resnet50_distance_reg_0_240908	.936
209	mobilenet_v2_1.3_224-tf	.935
210	resnet50_simclr	.935
211	ReAlnet01_cornet_fov12	.934
212	densenet-121-keras	.934
213	resnet50_FractalDB	.934
214	resnet50_imagenet_full	.933
215	grcnn	.933
216	grcnn_109	.933
217	yudixie_resnet50_random_0_240908	.932
218	convnext_small_imagenet_100_seed-0	.932
219	alexnet	.931
220	nasnet_mobile-tf	.931
221	alexnet	.932
222	resnet_101_v1	.931
223	alexnet	.931
224	vonegrcnn_52e_full	.930
225	alexnet	.931
226	alexnet	.930
227	densenet-169-keras	.931
228	alexnet	.931
229	alexnet	.931
230	texture_shape_alexnet_trained_on_SIN	.930
231	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.931
232	alexnet-baseline	.931
233	yudixie_resnet50_distance_rotation_0_240908	.930
234	alexnet	.929
235	effnetb1_272x240	.930
236	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.930
237	mobilenet_v2_0_75_224	.929
238	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.928
239	convnext_small_imagenet_1_seed-0	.928
240	0.5x_resnet-18_LC_w_sh_10_iter	.928
241	konkle_alexnetgn_ipcl_ref01_primary_model	.927
242	yudixie_resnet50_distance_translation_0_240908	.927
243	xception	.926
244	resnet50-SIN_IN_IN	.927
245	resnet-18-LC_d_w_sh_1x1_conv_init_m	.925
246	BiT-M-R101x3	.925
247	BiT-M-R50x1	.924
248	convnext_xlarge:fb_in22k_ft_in1k	.923
249	densenet-201-keras	.923
250	RN50	.923
251	my-model	.922
252	0.5x_resnet-18_LC_w_sh_1_iter	.921
253	alexnet_training_seed_02	.921
254	yudixie_resnet50_translation_rotation_0_240908	.922
255	yudixie_resnet18_distance_translation_0_240719	.921
256	resnet50-SIN	.921
257	convnext_small_imagenet_10_seed-0	.918
258	efficientnet_b0_imagenet_full	.918
259	yudixie_resnet18_translation_reg_0_240719	.916
260	BiT-M-R101x1	.917
261	ReAlnet01_cornet_fov16	.915
262	alexnet_random_linf8_perturb	.916
263	resnet50-VITO-8deg-cc	.913
264	densenet-121	.913
265	compact_resnet50_V4	.910
266	nasnet_mobile	.911
267	Res2Net50_26w_4s	.911
268	resnet-18-LC_m	.911
269	convnext_tiny:in12k_ft_in1k	.910
270	mobilenet_v2_0_5_192	.908
271	AdvProp_efficientnet-b6	.907
272	resnet-50_untrained	.907
273	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.905
274	mobilenet_v2_1.0_160-tf	.905
275	alexnet_training_seed_05	.904
276	compact_cornets_IT	.901
277	0.5x_resnet-18_LC	.901
278	mobilenet_v2_1_0_160	.900
279	resnet50-cifar	.900
280	resnet-18-LC_untrained	.899
281	convnext_small_imagenet_full_seed-0	.899
282	resnet-152_v1-tf	.897
283	resnet-18-LC_w_sh_100_iter_m	.896
284	focalnet_tiny_lrf_in1k	.895
285	inception_v1-tf	.894
286	efficientnet_b0	.893
287	resnet-18-LC_conv_init_m	.893
288	yolos_tiny	.894
289	AlexNet_SIN_fov4	.892
290	BiT-M-R152x4	.892
291	resnet-18-LC_w_sh_10_iter_m	.891
292	resnet-18_untrained	.890
293	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.891
294	vggface	.889
295	ViT-B/32	.886
296	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.885
297	CORnetZ_CIFAR10_bs32_20_04	.885
298	efficientnet-b7	.884
299	CORnetZ_CIFAR10	.883
300	artResNet18_1	.882
301	r3m_resnet34	.882
302	shufflenet_v2_x1_0	.880
303	yudixie_resnet18_category_class_0_240719	.879
304	mobilenet_v2_0.35_224	.877
305	r3m_resnet18	.876
306	yudixie_resnet50_distance_translation_rotation_0_240908	.874
307	yudixie_resnet18_rotation_reg_0_240719	.872
308	resnet-18-LC_1st_conv_m	.868
309	mobilenet_v2_1-4_224_pytorch	.867
310	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.868
311	resnet50	.867
312	resnet18_imagenet21kP	.868
313	yudixie_resnet50_category_class_0_240908	.859
314	mobilenet_v2_0_5_224	.857
315	mobilenet_v2_1.0_224-tf	.852
316	yudixie_resnet18_object_class_0_240719	.850
317	yudixie_resnet18_distance_reg_0_240719	.849
318	mobilenet_v2_1.4_224-tf	.848
319	efficientnet_b2_imagenet_full	.839
320	briaai_rmbg_1_4	.833
321	resnet-152_v2_pytorch	.832
322	mobilenet_v2_1.0_128-tf	.831
323	BiT-M-R152x2	.831
324	resnet-50x2_untrained	.832
325	alexnet_training_seed_04	.828
326	yudixie_resnet18_distance_rotation_0_240719	.822
327	alexnet_training_seed_01	.821
328	compact_resnet50_robust_V4	.815
329	compact_resnet50_IT	.815
330	mobilenet_v2_1_0_128	.813
331	alexnet_training_seed_07	.812
332	mobilenet_v1_0.25_128	.812
333	yudixie_resnet18_random_0_240719	.809
334	r3m_resnet50_nocrop	.808
335	compact_vgg19_IT	.804
336	mobilenet_v2_0.5_224-tf	.803
337	r3m_resnet50	.803
338	alexnet_training_seed_08	.801
339	compact_resnet50_robust_IT	.800
340	alexnet_training_seed_01_fov12	.796
341	0.5x_resnet-18_LC_w_sh_100_iter	.793
342	resnet50_imagenet_10_seed-0	.786
343	mobilevit_small	.786
344	alexnet_training_seed_10	.786
345	convnext_tiny_sup	.784
346	AdvProp_efficientnet-b4	.780
347	convnext_tiny_imagenet_full_seed-0	.778
348	mobilenet_v2_0.5_192-tf	.774
349	yudixie_resnet18_distance_translation_rotation_0_240719	.771
350	deit_large_imagenet_full_seed-0	.769
351	AdvProp_efficientnet-b0	.768
352	resnet50-meshes-lt-100-original-pretrained	.752
353	mobilenet_v2_0.75_96	.745
354	resnet50_imagenet_1_seed-0	.735
355	resnet50_pretrained_with_retinal_waves	.731
356	mobilenet_v2_0.75_192-tf	.724
357	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.721
358	mobilenet_v2_1.0_96	.720
359	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.720
360	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.720
361	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.719
362	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.719
363	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.716
364	mobilenet_v2_0.75_128	.713
365	AT_efficientnet-b2	.697
366	mobilenet_v2_0.75_224-tf	.697
367	AdvProp_efficientnet-b2	.695
368	AlexNet_SIN_fov16	.686
369	mobilenet_v2_0.5_160	.677
370	my-model	.674
371	alexnet_training_seed_03	.674
372	alexnet_training_seed_06	.649
373	alexnet_training_seed_01_fov16	.635
374	alexnet_training_seed_01_fov4	.391
375	deit_small_imagenet_10_seed-0	.355
376	deit_small_imagenet_full_seed-0	.354
377	mobilenet_v2_0.75_160-tf	.064
378	mobilenet_v2_0.5_128	.000
379	mobilenet_v2_0.35_160
380	resnet18-supervised
381	fitvid_trained_on_physion
382	openclip
383	resnext101_32x32d_wsl
384	resnext101_32x48d_wsl
385	resnet50_ImageNet
386	regnet_y_400mf
387	tv_efficientnet-b1
388	alexnet_ks_torevert
389	yudixie_resnet50_imagenet1kpret_0_240312
390	resnet_152_v1
391	resnext101_32x16d_wsl
392	densenet_201_pytorch
393	pnasnet_large_pytorch
394	inception_v3_pytorch
395	inception_v4
396	deit_small_imagenet_1_seed-0
397	nasnet_large
398	pnasnet_large
399	vonegrcnn_62e_nobn
400	vonegrcnn_47e
401	resnet_152_v2

Benchmark bibtex

None

Ceiling

0.96.

Note that scores are relative to this ceiling.

Data: Marques2020_DeValois1982

Metric: pref_or