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("Ferguson2024quarter-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
.950
13
.950
14
.950
15
.950
16
.950
17
.950
18
.950
19
.950
20
.950
21
.950
22
.950
23
.923
24
.923
25
.923
26
.923
27
.860
28
.836
29
.836
30
.836
31
.836
32
.836
33
.836
34
.779
35
.779
36
.757
37
.757
38
.757
39
.757
40
.706
41
.706
42
.706
43
.706
44
.706
45
.686
46
.686
47
.686
48
.686
49
.686
50
.686
51
.686
52
.639
53
.621
54
.621
55
.621
56
.579
57
.563
58
.563
59
.563
60
.563
61
.563
62
.563
63
.563
64
.563
65
.524
66
.524
67
.510
68
.510
69
.510
70
.510
71
.510
72
.510
73
.510
74
.510
75
.510
76
.510
77
.510
78
.510
79
.510
80
.510
81
.510
82
.510
83
.475
84
.475
85
.475
86
.475
87
.475
88
.475
89
.461
90
.461
91
.461
92
.461
93
.461
94
.430
95
.430
96
.430
97
.430
98
.418
99
.418
100
.418
101
.418
102
.390
103
.390
104
.379
105
.379
106
.379
107
.379
108
.379
109
.379
110
.353
111
.343
112
.343
113
.320
114
.311
115
.311
116
.311
117
.311
118
.311
119
.289
120
.289
121
.281
122
.281
123
.281
124
.281
125
.262
126
.262
127
.255
128
.255
129
.255
130
.255
131
.255
132
.255
133
.231
134
.231
135
.231
136
.231
137
.231
138
.231
139
.231
140
.215
141
.209
142
.209
143
.209
144
.209
145
.209
146
.209
147
.209
148
.209
149
.189
150
.189
151
.189
152
.171
153
.171
154
.171
155
.171
156
.171
157
.171
158
.171
159
.171
160
.171
161
.171
162
.171
163
.155
164
.155
165
.155
166
.155
167
.155
168
.155
169
.155
170
.155
171
.141
172
.141
173
.141
174
.141
175
.141
176
.141
177
.141
178
.141
179
.141
180
.141
181
.127
182
.127
183
.127
184
.127
185
.119
186
.115
187
.115
188
.115
189
.115
190
.104
191
.095
192
.095
193
.095
194
.086
195
.078
196
.078
197
.078
198
.070
199
.064
200
.064
201
.047
202
.043
203
X
204
X
205
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

0.88.

Note that scores are relative to this ceiling.

Data: Ferguson2024quarter

Metric: value_delta