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
.968
22
.966
23
.966
24
.967
25
.964
26
.964
27
.964
28
.963
29
.962
30
.963
31
.959
32
.960
33
.961
34
.959
35
.959
36
.960
37
.958
38
.957
39
.956
40
.956
41
.955
42
.955
43
.953
44
.953
45
.952
46
.953
47
.952
48
.951
49
.950
50
.951
51
.949
52
.951
53
.950
54
.948
55
.949
56
.947
57
.946
58
.946
59
.944
60
.947
61
.945
62
.946
63
.945
64
.945
65
.943
66
.944
67
.943
68
.943
69
.945
70
.943
71
.944
72
.942
73
.941
74
.941
75
.942
76
.940
77
.940
78
.939
79
.936
80
.937
81
.937
82
.936
83
.936
84
.934
85
.932
86
.932
87
.932
88
.930
89
.929
90
.930
91
.928
92
.930
93
.930
94
.927
95
.927
96
.926
97
.925
98
.926
99
.926
100
.925
101
.925
102
.922
103
.923
104
.923
105
.921
106
.920
107
.922
108
.918
109
.917
110
.918
111
.916
112
.917
113
.916
114
.916
115
.915
116
.915
117
.914
118
.912
119
.914
120
.911
121
.912
122
.912
123
.908
124
.909
125
.906
126
.906
127
.905
128
.905
129
.902
130
.903
131
.901
132
.901
133
.898
134
.897
135
.897
136
.897
137
.895
138
.894
139
.893
140
.891
141
.891
142
.889
143
.889
144
.888
145
.888
146
.887
147
.889
148
.887
149
.887
150
.886
151
.883
152
.884
153
.883
154
.883
155
.880
156
.880
157
.879
158
.878
159
.878
160
.877
161
.876
162
.873
163
.874
164
.873
165
.871
166
.871
167
.871
168
.869
169
.869
170
.868
171
.867
172
.869
173
.867
174
.867
175
.865
176
.866
177
.865
178
.866
179
.865
180
.862
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
.836
207
.835
208
.834
209
.833
210
.832
211
.832
212
.831
213
.830
214
.831
215
.831
216
.828
217
.828
218
.827
219
.820
220
.821
221
.820
222
.819
223
.820
224
.819
225
.817
226
.816
227
.816
228
.815
229
.813
230
.814
231
.814
232
.813
233
.813
234
.809
235
.808
236
.806
237
.809
238
.807
239
.805
240
.800
241
.800
242
.801
243
.799
244
.797
245
.795
246
.796
247
.794
248
.793
249
.794
250
.794
251
.793
252
.793
253
.791
254
.791
255
.791
256
.790
257
.789
258
.788
259
.789
260
.789
261
.788
262
.787
263
.789
264
.788
265
.787
266
.787
267
.784
268
.784
269
.782
270
.784
271
.781
272
.779
273
.780
274
.779
275
.774
276
.773
277
.772
278
.771
279
.771
280
.767
281
.764
282
.763
283
.763
284
.763
285
.761
286
.758
287
.757
288
.755
289
.753
290
.752
291
.751
292
.751
293
.747
294
.748
295
.744
296
.743
297
.739
298
.738
299
.737
300
.734
301
.730
302
.727
303
.725
304
.724
305
.724
306
.723
307
.722
308
.721
309
.722
310
.721
311
.721
312
.720
313
.720
314
.720
315
.720
316
.714
317
.712
318
.711
319
.709
320
.707
321
.705
322
.705
323
.704
324
.702
325
.697
326
.694
327
.687
328
.685
329
.679
330
.679
331
.676
332
.676
333
.675
334
.669
335
.667
336
.666
337
.653
338
.652
339
.653
340
.653
341
.653
342
.653
343
.654
344
.653
345
.653
346
.653
347
.652
348
.653
349
.651
350
.649
351
.640
352
.638
353
.633
354
.626
355
.623
356
.623
357
.617
358
.614
359
.614
360
.613
361
.573
362
.532
363
.510
364
.430
365
.405
366
.404
367
.404
368
.339
369
.270
370
.269
371
.269
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397

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