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
.682
230
.681
231
.683
232
.681
233
.680
234
.680
235
.679
236
.679
237
.678
238
.677
239
.677
240
.677
241
.676
242
.676
243
.673
244
.671
245
.669
246
.667
247
.668
248
.666
249
.667
250
.666
251
.663
252
.664
253
.663
254
.663
255
.661
256
.659
257
.658
258
.658
259
.658
260
.658
261
.655
262
.657
263
.655
264
.654
265
.651
266
.651
267
.647
268
.646
269
.645
270
.645
271
.644
272
.644
273
.644
274
.643
275
.643
276
.643
277
.643
278
.642
279
.642
280
.642
281
.641
282
.641
283
.640
284
.640
285
.639
286
.634
287
.634
288
.632
289
.632
290
.631
291
.631
292
.630
293
.630
294
.625
295
.625
296
.624
297
.622
298
.622
299
.622
300
.620
301
.620
302
.616
303
.616
304
.615
305
.613
306
.611
307
.607
308
.606
309
.603
310
.603
311
.601
312
.599
313
.600
314
.600
315
.598
316
.597
317
.596
318
.596
319
.597
320
.594
321
.594
322
.593
323
.594
324
.593
325
.592
326
.591
327
.589
328
.588
329
.586
330
.586
331
.584
332
.582
333
.583
334
.582
335
.582
336
.578
337
.579
338
.572
339
.572
340
.570
341
.569
342
.568
343
.565
344
.560
345
.555
346
.554
347
.554
348
.550
349
.548
350
.545
351
.546
352
.543
353
.543
354
.542
355
.539
356
.534
357
.533
358
.532
359
.529
360
.523
361
.523
362
.517
363
.515
364
.513
365
.511
366
.509
367
.509
368
.508
369
.506
370
.500
371
.498
372
.498
373
.497
374
.490
375
.487
376
.486
377
.467
378
.455
379
.451
380
.451
381
.451
382
.439
383
.433
384
.430
385
.422
386
.412
387
.386
388
.376
389
.358
390
.347
391
.340
392
.338
393
.330
394
.329
395
.325
396
.325
397
.268
398
.265
399
.254
400
.247
401
.245
402
.241
403
.210
404
.164
405
.157
406
.094
407
.021
408
.021
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439

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