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_FreemanZiemba2013-max_texture")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.986
2
.987
3
.984
4
.983
5
.983
6
.983
7
.979
8
.977
9
.978
10
.978
11
.977
12
.977
13
.975
14
.972
15
.970
16
.969
17
.969
18
.970
19
.968
20
.968
21
.966
22
.966
23
.967
24
.964
25
.964
26
.964
27
.963
28
.962
29
.963
30
.960
31
.961
32
.959
33
.959
34
.960
35
.958
36
.957
37
.956
38
.956
39
.955
40
.955
41
.953
42
.953
43
.952
44
.953
45
.952
46
.951
47
.950
48
.951
49
.949
50
.951
51
.950
52
.948
53
.949
54
.947
55
.946
56
.946
57
.944
58
.947
59
.945
60
.946
61
.945
62
.945
63
.943
64
.944
65
.943
66
.943
67
.945
68
.943
69
.942
70
.941
71
.941
72
.942
73
.940
74
.940
75
.939
76
.936
77
.937
78
.937
79
.936
80
.936
81
.934
82
.932
83
.932
84
.932
85
.930
86
.929
87
.930
88
.930
89
.930
90
.927
91
.927
92
.925
93
.926
94
.926
95
.925
96
.925
97
.922
98
.923
99
.923
100
.921
101
.920
102
.922
103
.918
104
.917
105
.918
106
.916
107
.917
108
.916
109
.916
110
.915
111
.915
112
.912
113
.914
114
.911
115
.912
116
.912
117
.908
118
.909
119
.906
120
.906
121
.905
122
.905
123
.902
124
.903
125
.901
126
.901
127
.898
128
.897
129
.897
130
.897
131
.895
132
.894
133
.893
134
.891
135
.891
136
.889
137
.889
138
.888
139
.888
140
.887
141
.889
142
.887
143
.887
144
.886
145
.883
146
.884
147
.883
148
.883
149
.880
150
.880
151
.879
152
.878
153
.878
154
.877
155
.876
156
.873
157
.874
158
.873
159
.871
160
.871
161
.871
162
.871
163
.870
164
.870
165
.868
166
.870
167
.869
168
.869
169
.869
170
.868
171
.868
172
.867
173
.869
174
.867
175
.867
176
.865
177
.866
178
.865
179
.866
180
.865
181
.862
182
.862
183
.860
184
.857
185
.856
186
.856
187
.855
188
.854
189
.854
190
.852
191
.852
192
.850
193
.848
194
.849
195
.848
196
.845
197
.846
198
.845
199
.845
200
.844
201
.842
202
.841
203
.840
204
.837
205
.837
206
.835
207
.834
208
.833
209
.832
210
.832
211
.831
212
.830
213
.831
214
.828
215
.828
216
.827
217
.820
218
.821
219
.820
220
.819
221
.820
222
.819
223
.817
224
.816
225
.816
226
.815
227
.813
228
.814
229
.814
230
.813
231
.813
232
.809
233
.808
234
.806
235
.809
236
.807
237
.805
238
.800
239
.800
240
.799
241
.795
242
.796
243
.794
244
.793
245
.794
246
.794
247
.793
248
.793
249
.791
250
.791
251
.791
252
.791
253
.790
254
.789
255
.788
256
.789
257
.789
258
.788
259
.789
260
.788
261
.787
262
.787
263
.784
264
.784
265
.782
266
.784
267
.781
268
.779
269
.780
270
.779
271
.774
272
.773
273
.772
274
.771
275
.771
276
.767
277
.764
278
.763
279
.763
280
.763
281
.761
282
.758
283
.757
284
.755
285
.753
286
.752
287
.751
288
.751
289
.747
290
.748
291
.744
292
.743
293
.739
294
.738
295
.737
296
.734
297
.730
298
.727
299
.725
300
.724
301
.724
302
.723
303
.722
304
.721
305
.722
306
.721
307
.721
308
.720
309
.720
310
.720
311
.720
312
.714
313
.712
314
.711
315
.709
316
.707
317
.705
318
.705
319
.704
320
.702
321
.694
322
.687
323
.685
324
.679
325
.676
326
.676
327
.675
328
.669
329
.667
330
.666
331
.653
332
.652
333
.653
334
.653
335
.654
336
.653
337
.653
338
.652
339
.653
340
.651
341
.649
342
.640
343
.638
344
.633
345
.626
346
.623
347
.623
348
.614
349
.614
350
.613
351
.573
352
.532
353
.510
354
.430
355
.405
356
.404
357
.404
358
.339
359
.270
360
.269
361
.269
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387

Benchmark bibtex

@article{Freeman2013,
            author = {Freeman, Jeremy and Ziemba, Corey M. and Heeger, David J. and Simoncelli, E. P. and Movshon, J. A.},
            doi = {10.1038/nn.3402},
            issn = {10976256},
            journal = {Nature Neuroscience},
            number = {7},
            pages = {974--981},
            pmid = {23685719},
            publisher = {Nature Publishing Group},
            title = {{A functional and perceptual signature of the second visual area in primates}},
            url = {http://dx.doi.org/10.1038/nn.3402},
            volume = {16},
            year = {2013}
            }
            

Ceiling

0.95.

Note that scores are relative to this ceiling.

Data: Marques2020_FreemanZiemba2013

Metric: max_texture