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("Ferguson2024half-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
1.0
17
1.0
18
1.0
19
1.0
20
1.0
21
1.0
22
1.0
23
.975
24
.975
25
.975
26
.975
27
.975
28
.975
29
.942
30
.942
31
.942
32
.942
33
.942
34
.942
35
.942
36
.942
37
.942
38
.882
39
.882
40
.852
41
.852
42
.852
43
.852
44
.852
45
.798
46
.798
47
.798
48
.798
49
.771
50
.771
51
.771
52
.771
53
.771
54
.771
55
.771
56
.771
57
.771
58
.771
59
.771
60
.771
61
.771
62
.722
63
.722
64
.722
65
.722
66
.722
67
.722
68
.698
69
.698
70
.698
71
.698
72
.698
73
.698
74
.698
75
.698
76
.698
77
.653
78
.631
79
.631
80
.631
81
.631
82
.631
83
.631
84
.631
85
.591
86
.591
87
.591
88
.591
89
.591
90
.571
91
.571
92
.571
93
.571
94
.571
95
.571
96
.571
97
.571
98
.571
99
.571
100
.571
101
.571
102
.535
103
.535
104
.535
105
.517
106
.517
107
.517
108
.517
109
.517
110
.517
111
.517
112
.517
113
.517
114
.484
115
.484
116
.484
117
.467
118
.467
119
.467
120
.467
121
.467
122
.438
123
.423
124
.423
125
.423
126
.423
127
.423
128
.423
129
.423
130
.396
131
.383
132
.383
133
.383
134
.383
135
.383
136
.383
137
.383
138
.383
139
.383
140
.358
141
.358
142
.346
143
.346
144
.346
145
.346
146
.324
147
.324
148
.324
149
.324
150
.324
151
.313
152
.313
153
.313
154
.313
155
.313
156
.283
157
.283
158
.283
159
.283
160
.283
161
.283
162
.283
163
.283
164
.283
165
.283
166
.256
167
.256
168
.256
169
.256
170
.240
171
.232
172
.232
173
.217
174
.210
175
.196
176
.172
177
.172
178
.172
179
.172
180
.172
181
.172
182
.172
183
.172
184
.155
185
.155
186
.155
187
.155
188
.155
189
.145
190
.141
191
.141
192
.127
193
.127
194
.115
195
.115
196
.115
197
.115
198
.108
199
.104
200
.104
201
.094
202
.077
203
X

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

0.90.

Note that scores are relative to this ceiling.

Data: Ferguson2024half

Metric: value_delta