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-texture_sparseness")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.930
2
.919
3
.917
4
.912
5
.908
6
.908
7
.907
8
.900
9
.897
10
.894
11
.886
12
.885
13
.884
14
.878
15
.877
16
.879
17
.876
18
.875
19
.875
20
.874
21
.873
22
.870
23
.870
24
.868
25
.866
26
.865
27
.863
28
.863
29
.863
30
.861
31
.857
32
.856
33
.857
34
.853
35
.852
36
.849
37
.851
38
.847
39
.845
40
.845
41
.844
42
.843
43
.843
44
.842
45
.843
46
.841
47
.841
48
.841
49
.841
50
.838
51
.839
52
.837
53
.839
54
.838
55
.837
56
.835
57
.834
58
.832
59
.833
60
.832
61
.830
62
.829
63
.829
64
.827
65
.825
66
.825
67
.824
68
.823
69
.822
70
.823
71
.820
72
.820
73
.817
74
.814
75
.814
76
.814
77
.813
78
.813
79
.812
80
.811
81
.811
82
.808
83
.806
84
.805
85
.806
86
.804
87
.804
88
.803
89
.802
90
.802
91
.801
92
.801
93
.800
94
.799
95
.798
96
.798
97
.799
98
.796
99
.795
100
.794
101
.794
102
.793
103
.794
104
.793
105
.791
106
.792
107
.791
108
.790
109
.789
110
.789
111
.787
112
.787
113
.786
114
.784
115
.783
116
.781
117
.780
118
.780
119
.781
120
.779
121
.778
122
.780
123
.778
124
.779
125
.777
126
.777
127
.777
128
.776
129
.776
130
.776
131
.775
132
.776
133
.773
134
.772
135
.771
136
.769
137
.769
138
.768
139
.767
140
.767
141
.767
142
.766
143
.766
144
.766
145
.764
146
.762
147
.764
148
.762
149
.761
150
.763
151
.762
152
.762
153
.762
154
.761
155
.761
156
.759
157
.758
158
.756
159
.755
160
.752
161
.752
162
.751
163
.751
164
.750
165
.750
166
.749
167
.747
168
.746
169
.746
170
.741
171
.742
172
.741
173
.741
174
.739
175
.738
176
.738
177
.737
178
.737
179
.735
180
.737
181
.736
182
.734
183
.731
184
.731
185
.728
186
.726
187
.726
188
.725
189
.727
190
.718
191
.717
192
.715
193
.715
194
.714
195
.711
196
.710
197
.711
198
.709
199
.708
200
.707
201
.706
202
.705
203
.703
204
.702
205
.702
206
.700
207
.700
208
.701
209
.700
210
.699
211
.699
212
.696
213
.696
214
.696
215
.695
216
.695
217
.692
218
.692
219
.691
220
.690
221
.688
222
.687
223
.687
224
.687
225
.686
226
.684
227
.684
228
.684
229
.681
230
.683
231
.681
232
.680
233
.680
234
.679
235
.679
236
.677
237
.677
238
.677
239
.676
240
.676
241
.673
242
.671
243
.669
244
.667
245
.668
246
.666
247
.667
248
.666
249
.663
250
.664
251
.663
252
.663
253
.661
254
.659
255
.658
256
.658
257
.658
258
.658
259
.655
260
.657
261
.655
262
.654
263
.651
264
.651
265
.647
266
.646
267
.645
268
.645
269
.644
270
.644
271
.644
272
.643
273
.643
274
.643
275
.643
276
.642
277
.642
278
.642
279
.641
280
.641
281
.640
282
.640
283
.639
284
.634
285
.634
286
.632
287
.632
288
.631
289
.631
290
.630
291
.630
292
.625
293
.625
294
.624
295
.622
296
.622
297
.622
298
.620
299
.620
300
.616
301
.616
302
.615
303
.613
304
.611
305
.607
306
.606
307
.603
308
.603
309
.601
310
.599
311
.600
312
.600
313
.598
314
.597
315
.596
316
.596
317
.597
318
.594
319
.594
320
.593
321
.594
322
.593
323
.592
324
.591
325
.589
326
.588
327
.586
328
.586
329
.584
330
.582
331
.583
332
.582
333
.582
334
.578
335
.579
336
.572
337
.572
338
.570
339
.569
340
.568
341
.565
342
.560
343
.555
344
.554
345
.554
346
.550
347
.548
348
.545
349
.546
350
.543
351
.543
352
.542
353
.539
354
.534
355
.533
356
.529
357
.523
358
.523
359
.517
360
.515
361
.513
362
.511
363
.509
364
.509
365
.508
366
.506
367
.500
368
.498
369
.498
370
.497
371
.490
372
.487
373
.486
374
.467
375
.455
376
.451
377
.451
378
.451
379
.439
380
.433
381
.430
382
.422
383
.412
384
.386
385
.376
386
.358
387
.347
388
.338
389
.330
390
.329
391
.325
392
.325
393
.268
394
.265
395
.254
396
.247
397
.245
398
.241
399
.210
400
.164
401
.157
402
.094
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432

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

0.93.

Note that scores are relative to this ceiling.

Data: Marques2020_FreemanZiemba2013

Metric: texture_sparseness