MTVQA
MTVQA (Multilingual Text-Centric Visual Question Answering) is the first benchmark featuring high-quality human expert annotations across 9 diverse languages, consisting of 6,778 question-answer pairs across 2,116 images. It addresses visual-textual misalignment problems in multilingual text-centric VQA.
Qwen2-VL-72B-Instruct from Alibaba Cloud / Qwen Team currently leads the MTVQA leaderboard with a score of 0.309 across 1 evaluated AI models.
Qwen2-VL-72B-Instruct leads with 30.9%.
Progress Over Time
Interactive timeline showing model performance evolution on MTVQA
MTVQA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 73B | — | — |
FAQ
Common questions about MTVQA.
More evaluations to explore
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