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
.870
20
.868
21
.866
22
.863
23
.861
24
.856
25
.857
26
.853
27
.849
28
.851
29
.847
30
.845
31
.845
32
.844
33
.843
34
.843
35
.842
36
.843
37
.841
38
.841
39
.841
40
.838
41
.839
42
.837
43
.839
44
.838
45
.835
46
.834
47
.833
48
.832
49
.830
50
.829
51
.829
52
.827
53
.825
54
.825
55
.824
56
.823
57
.822
58
.823
59
.820
60
.817
61
.814
62
.814
63
.814
64
.813
65
.813
66
.812
67
.811
68
.811
69
.808
70
.806
71
.805
72
.806
73
.804
74
.804
75
.803
76
.802
77
.802
78
.801
79
.801
80
.800
81
.799
82
.798
83
.798
84
.799
85
.796
86
.795
87
.794
88
.794
89
.793
90
.794
91
.793
92
.791
93
.792
94
.791
95
.790
96
.789
97
.789
98
.787
99
.787
100
.786
101
.784
102
.783
103
.781
104
.780
105
.780
106
.781
107
.779
108
.778
109
.780
110
.778
111
.779
112
.777
113
.777
114
.776
115
.778
116
.776
117
.776
118
.775
119
.776
120
.773
121
.772
122
.771
123
.769
124
.769
125
.768
126
.767
127
.767
128
.767
129
.766
130
.766
131
.766
132
.764
133
.762
134
.764
135
.762
136
.763
137
.762
138
.762
139
.762
140
.761
141
.761
142
.759
143
.758
144
.756
145
.755
146
.752
147
.752
148
.751
149
.751
150
.750
151
.749
152
.747
153
.746
154
.746
155
.741
156
.742
157
.741
158
.741
159
.738
160
.738
161
.737
162
.737
163
.735
164
.737
165
.736
166
.734
167
.731
168
.731
169
.728
170
.726
171
.726
172
.725
173
.727
174
.718
175
.717
176
.715
177
.715
178
.714
179
.711
180
.710
181
.711
182
.709
183
.708
184
.707
185
.706
186
.705
187
.703
188
.702
189
.702
190
.700
191
.700
192
.701
193
.700
194
.699
195
.696
196
.696
197
.695
198
.695
199
.692
200
.692
201
.691
202
.690
203
.687
204
.687
205
.687
206
.686
207
.684
208
.684
209
.684
210
.681
211
.681
212
.680
213
.680
214
.679
215
.679
216
.677
217
.677
218
.677
219
.676
220
.673
221
.671
222
.669
223
.667
224
.668
225
.668
226
.666
227
.663
228
.664
229
.663
230
.663
231
.659
232
.658
233
.658
234
.658
235
.658
236
.655
237
.655
238
.654
239
.651
240
.651
241
.647
242
.646
243
.645
244
.645
245
.644
246
.644
247
.643
248
.643
249
.643
250
.642
251
.642
252
.642
253
.641
254
.640
255
.639
256
.634
257
.634
258
.632
259
.632
260
.631
261
.631
262
.630
263
.630
264
.625
265
.624
266
.622
267
.622
268
.620
269
.616
270
.616
271
.615
272
.613
273
.611
274
.607
275
.606
276
.603
277
.603
278
.601
279
.599
280
.600
281
.600
282
.598
283
.597
284
.596
285
.597
286
.594
287
.594
288
.593
289
.594
290
.593
291
.592
292
.591
293
.589
294
.588
295
.586
296
.586
297
.584
298
.582
299
.583
300
.582
301
.582
302
.579
303
.572
304
.572
305
.570
306
.569
307
.565
308
.560
309
.555
310
.554
311
.554
312
.550
313
.548
314
.548
315
.546
316
.545
317
.543
318
.543
319
.542
320
.543
321
.542
322
.543
323
.542
324
.542
325
.541
326
.534
327
.533
328
.529
329
.523
330
.515
331
.513
332
.511
333
.509
334
.509
335
.508
336
.500
337
.498
338
.497
339
.490
340
.486
341
.467
342
.455
343
.451
344
.451
345
.451
346
.433
347
.430
348
.422
349
.412
350
.404
351
.386
352
.358
353
.347
354
.338
355
.330
356
.329
357
.325
358
.325
359
.254
360
.241
361
.164
362
.157
363
.094
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

0.93.

Note that scores are relative to this ceiling.

Data: Marques2020_FreemanZiemba2013

Metric: texture_sparseness