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("Ferguson2024gray_hard-value_delta")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
1.0
2
1.0
3
1.0
4
1.0
5
1.0
6
1.0
7
1.0
8
1.0
9
1.0
10
1.0
11
1.0
12
1.0
13
1.0
14
1.0
15
1.0
16
.971
17
.971
18
.971
19
.942
20
.942
21
.942
22
.942
23
.942
24
.942
25
.942
26
.942
27
.942
28
.942
29
.942
30
.942
31
.942
32
.942
33
.883
34
.883
35
.883
36
.883
37
.883
38
.855
39
.855
40
.855
41
.855
42
.802
43
.802
44
.777
45
.777
46
.777
47
.777
48
.777
49
.777
50
.728
51
.728
52
.728
53
.728
54
.728
55
.728
56
.728
57
.706
58
.706
59
.706
60
.706
61
.706
62
.706
63
.662
64
.662
65
.641
66
.641
67
.641
68
.641
69
.641
70
.641
71
.641
72
.641
73
.641
74
.601
75
.601
76
.601
77
.583
78
.583
79
.583
80
.583
81
.583
82
.583
83
.583
84
.546
85
.546
86
.529
87
.529
88
.496
89
.496
90
.481
91
.481
92
.481
93
.481
94
.481
95
.481
96
.451
97
.437
98
.437
99
.437
100
.437
101
.437
102
.437
103
.437
104
.437
105
.437
106
.437
107
.437
108
.437
109
.437
110
.410
111
.410
112
.410
113
.397
114
.397
115
.397
116
.397
117
.397
118
.397
119
.397
120
.397
121
.397
122
.397
123
.397
124
.397
125
.372
126
.372
127
.361
128
.361
129
.361
130
.361
131
.338
132
.328
133
.328
134
.307
135
.298
136
.298
137
.298
138
.298
139
.279
140
.270
141
.270
142
.270
143
.270
144
.270
145
.270
146
.270
147
.270
148
.270
149
.270
150
.253
151
.246
152
.246
153
.246
154
.246
155
.246
156
.230
157
.223
158
.223
159
.223
160
.223
161
.223
162
.203
163
.203
164
.203
165
.190
166
.184
167
.184
168
.184
169
.184
170
.167
171
.167
172
.167
173
.167
174
.167
175
.157
176
.152
177
.152
178
.152
179
.152
180
.152
181
.138
182
.138
183
.126
184
.126
185
.126
186
.126
187
.114
188
.114
189
.104
190
.104
191
.086
192
.078
193
.078
194
.073
195
.071
196
.064
197
.064
198
.064
199
.048
200
.048
201
.033
202
.033
203
.020

Benchmark bibtex

        @misc{ferguson_ngo_lee_dicarlo_schrimpf_2024,
         title={How Well is Visual Search Asymmetry predicted by a Binary-Choice, Rapid, Accuracy-based Visual-search, Oddball-detection (BRAVO) task?},
         url={osf.io/5ba3n},
         DOI={10.17605/OSF.IO/5BA3N},
         publisher={OSF},
         author={Ferguson, Michael E, Jr and Ngo, Jerry and Lee, Michael and DiCarlo, James and Schrimpf, Martin},
         year={2024},
         month={Jun}
}

Ceiling

0.86.

Note that scores are relative to this ceiling.

Data: Ferguson2024gray_hard

Metric: value_delta