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("Ferguson2024round_v-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
1.000
20
1.000
21
1.000
22
1.000
23
1.000
24
1.000
25
1.000
26
1.000
27
1.000
28
1.000
29
1.000
30
.924
31
.924
32
.924
33
.924
34
.924
35
.924
36
.924
37
.924
38
.905
39
.905
40
.905
41
.905
42
.836
43
.836
44
.836
45
.836
46
.836
47
.836
48
.836
49
.820
50
.820
51
.820
52
.820
53
.820
54
.820
55
.820
56
.820
57
.757
58
.757
59
.757
60
.757
61
.757
62
.757
63
.742
64
.742
65
.742
66
.742
67
.686
68
.686
69
.686
70
.686
71
.686
72
.672
73
.672
74
.672
75
.672
76
.672
77
.672
78
.672
79
.672
80
.621
81
.621
82
.621
83
.621
84
.621
85
.621
86
.621
87
.621
88
.621
89
.621
90
.621
91
.609
92
.609
93
.609
94
.609
95
.609
96
.609
97
.609
98
.609
99
.562
100
.562
101
.562
102
.551
103
.551
104
.551
105
.551
106
.551
107
.551
108
.551
109
.551
110
.551
111
.509
112
.509
113
.509
114
.509
115
.509
116
.499
117
.499
118
.499
119
.499
120
.461
121
.461
122
.461
123
.461
124
.461
125
.417
126
.417
127
.417
128
.417
129
.417
130
.417
131
.409
132
.409
133
.409
134
.409
135
.409
136
.409
137
.409
138
.409
139
.409
140
.409
141
.378
142
.378
143
.378
144
.378
145
.378
146
.378
147
.370
148
.370
149
.370
150
.370
151
.370
152
.370
153
.370
154
.370
155
.342
156
.342
157
.342
158
.335
159
.335
160
.310
161
.304
162
.304
163
.281
164
.281
165
.275
166
.275
167
.275
168
.275
169
.275
170
.254
171
.254
172
.254
173
.249
174
.249
175
.249
176
.230
177
.230
178
.230
179
.230
180
.230
181
.230
182
.225
183
.225
184
.225
185
.225
186
.225
187
.225
188
.225
189
.225
190
.208
191
.208
192
.204
193
.204
194
.204
195
.189
196
.185
197
.185
198
.185
199
.171
200
.155
201
.155
202
.140
203
.137
204
.137
205
.124
206
.102
207
.083
208
.076
209
.070
210
.068
211
.068
212
.068
213
.062
214
.035
215
.034
216
.025
217
.025
218
.025
219
.023

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

0.85.

Note that scores are relative to this ceiling.

Data: Ferguson2024round_v

Metric: value_delta