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
.943
65
.943
66
.945
67
.943
68
.942
69
.941
70
.941
71
.942
72
.940
73
.940
74
.939
75
.936
76
.937
77
.937
78
.936
79
.936
80
.934
81
.932
82
.932
83
.932
84
.930
85
.929
86
.930
87
.930
88
.930
89
.927
90
.927
91
.925
92
.926
93
.926
94
.925
95
.925
96
.922
97
.923
98
.923
99
.921
100
.920
101
.922
102
.918
103
.917
104
.918
105
.916
106
.917
107
.916
108
.916
109
.915
110
.915
111
.912
112
.914
113
.911
114
.912
115
.912
116
.908
117
.909
118
.906
119
.906
120
.905
121
.905
122
.902
123
.903
124
.901
125
.901
126
.898
127
.897
128
.897
129
.897
130
.895
131
.894
132
.893
133
.891
134
.891
135
.889
136
.889
137
.888
138
.888
139
.887
140
.889
141
.887
142
.887
143
.886
144
.883
145
.884
146
.883
147
.883
148
.880
149
.880
150
.879
151
.878
152
.878
153
.877
154
.876
155
.873
156
.874
157
.873
158
.871
159
.871
160
.871
161
.871
162
.870
163
.870
164
.868
165
.870
166
.869
167
.869
168
.869
169
.868
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
.860
183
.857
184
.856
185
.856
186
.855
187
.854
188
.854
189
.852
190
.852
191
.850
192
.848
193
.849
194
.848
195
.845
196
.846
197
.845
198
.845
199
.844
200
.842
201
.841
202
.840
203
.837
204
.837
205
.835
206
.834
207
.833
208
.832
209
.832
210
.831
211
.830
212
.831
213
.828
214
.828
215
.827
216
.820
217
.821
218
.820
219
.819
220
.819
221
.817
222
.816
223
.816
224
.815
225
.813
226
.814
227
.814
228
.813
229
.813
230
.809
231
.808
232
.806
233
.809
234
.807
235
.805
236
.800
237
.800
238
.799
239
.795
240
.796
241
.794
242
.793
243
.794
244
.794
245
.793
246
.793
247
.791
248
.791
249
.791
250
.791
251
.790
252
.789
253
.788
254
.789
255
.789
256
.788
257
.789
258
.788
259
.787
260
.787
261
.784
262
.784
263
.782
264
.784
265
.781
266
.779
267
.780
268
.779
269
.774
270
.773
271
.772
272
.771
273
.771
274
.767
275
.764
276
.763
277
.763
278
.763
279
.761
280
.757
281
.755
282
.753
283
.752
284
.751
285
.751
286
.747
287
.748
288
.744
289
.738
290
.737
291
.734
292
.730
293
.727
294
.725
295
.724
296
.724
297
.723
298
.722
299
.722
300
.721
301
.721
302
.720
303
.720
304
.720
305
.720
306
.714
307
.712
308
.711
309
.709
310
.707
311
.705
312
.705
313
.704
314
.702
315
.694
316
.687
317
.685
318
.679
319
.676
320
.675
321
.669
322
.667
323
.666
324
.653
325
.653
326
.654
327
.653
328
.653
329
.652
330
.653
331
.651
332
.649
333
.640
334
.638
335
.633
336
.626
337
.623
338
.623
339
.614
340
.614
341
.613
342
.573
343
.532
344
.510
345
.430
346
.405
347
.404
348
.404
349
.339
350
.270
351
.269
352
.269
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378

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