ModelRefs / VQAv2 Leaderboard — AI Model Scores
VQAv2 Leaderboard — AI Model Scores
Open-ended visual question answering test-dev split. Current leaders, methodology, and citation sources for VQAv2.
Overview
Open-ended visual question answering test-dev split.
How it is measured: VQA accuracy with 10-annotator agreement.
How this benchmark is scored
| Category | vision |
|---|---|
| Maximum score | 100 % accuracy |
| Direction | Higher is better |
Primary source: https://visualqa.org/
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