Sample stimuli

sample 0 sample 1 sample 2 sample 3 sample 4 sample 5 sample 6 sample 7 sample 8 sample 9

How to use

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

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
1.0
2
.998
3
.997
4
.997
5
.997
6
.996
7
.995
8
.996
9
.995
10
.995
11
.993
12
.992
13
.992
14
.991
15
.991
16
.991
17
.990
18
.991
19
.989
20
.989
21
.988
22
.988
23
.987
24
.989
25
.988
26
.986
27
.987
28
.987
29
.986
30
.987
31
.987
32
.987
33
.986
34
.985
35
.985
36
.985
37
.984
38
.984
39
.984
40
.984
41
.983
42
.982
43
.982
44
.982
45
.983
46
.983
47
.983
48
.982
49
.982
50
.983
51
.981
52
.980
53
.980
54
.980
55
.980
56
.980
57
.979
58
.978
59
.979
60
.979
61
.979
62
.977
63
.978
64
.976
65
.977
66
.977
67
.976
68
.974
69
.976
70
.975
71
.974
72
.974
73
.975
74
.972
75
.973
76
.974
77
.973
78
.973
79
.972
80
.973
81
.972
82
.973
83
.972
84
.971
85
.972
86
.971
87
.972
88
.970
89
.970
90
.970
91
.969
92
.971
93
.970
94
.969
95
.969
96
.968
97
.969
98
.967
99
.967
100
.968
101
.968
102
.967
103
.967
104
.967
105
.966
106
.965
107
.965
108
.965
109
.966
110
.966
111
.965
112
.964
113
.964
114
.965
115
.963
116
.963
117
.963
118
.964
119
.963
120
.963
121
.963
122
.963
123
.963
124
.962
125
.963
126
.963
127
.963
128
.962
129
.960
130
.960
131
.961
132
.960
133
.960
134
.959
135
.959
136
.960
137
.960
138
.958
139
.959
140
.957
141
.956
142
.956
143
.956
144
.954
145
.955
146
.955
147
.954
148
.954
149
.955
150
.954
151
.954
152
.953
153
.954
154
.952
155
.951
156
.951
157
.950
158
.950
159
.951
160
.950
161
.949
162
.948
163
.950
164
.948
165
.949
166
.947
167
.948
168
.947
169
.946
170
.947
171
.945
172
.945
173
.943
174
.943
175
.943
176
.941
177
.941
178
.940
179
.939
180
.940
181
.938
182
.938
183
.939
184
.938
185
.938
186
.936
187
.935
188
.935
189
.934
190
.934
191
.933
192
.933
193
.933
194
.932
195
.932
196
.931
197
.931
198
.931
199
.931
200
.930
201
.931
202
.930
203
.931
204
.931
205
.931
206
.930
207
.931
208
.931
209
.930
210
.929
211
.930
212
.930
213
.929
214
.928
215
.928
216
.928
217
.927
218
.927
219
.926
220
.927
221
.925
222
.925
223
.924
224
.923
225
.923
226
.923
227
.922
228
.921
229
.921
230
.922
231
.921
232
.921
233
.918
234
.918
235
.916
236
.917
237
.916
238
.913
239
.913
240
.911
241
.911
242
.911
243
.910
244
.908
245
.907
246
.907
247
.905
248
.905
249
.904
250
.901
251
.900
252
.900
253
.899
254
.899
255
.897
256
.896
257
.895
258
.894
259
.893
260
.893
261
.894
262
.892
263
.891
264
.890
265
.891
266
.889
267
.886
268
.885
269
.885
270
.884
271
.883
272
.882
273
.882
274
.880
275
.879
276
.877
277
.876
278
.874
279
.872
280
.868
281
.867
282
.868
283
.867
284
.868
285
.859
286
.857
287
.852
288
.850
289
.849
290
.848
291
.839
292
.833
293
.832
294
.831
295
.831
296
.832
297
.828
298
.822
299
.821
300
.813
301
.812
302
.812
303
.809
304
.808
305
.803
306
.803
307
.801
308
.793
309
.786
310
.786
311
.786
312
.784
313
.780
314
.778
315
.774
316
.771
317
.769
318
.768
319
.752
320
.745
321
.735
322
.731
323
.724
324
.721
325
.720
326
.720
327
.720
328
.719
329
.719
330
.716
331
.713
332
.697
333
.697
334
.695
335
.677
336
.674
337
.674
338
.649
339
.354
340
.355
341
.064
342
.000
343
X
344
X
345
X
346
X
347
X
348
X
349
X
350
X
351
X
352
X
353
X
354
X
355
X
356
X
357
X
358
X
359
X
360
X
361
X
362
X
363
X
364
X
365
X

Benchmark bibtex

None

Ceiling

0.96.

Note that scores are relative to this ceiling.

Data: Marques2020_DeValois1982

Metric: pref_or