AIBenchcc-by-4.0
M-VQA: Visual Question Answering under Image Distortions
A dataset of 12,400 image-question-answer samples with 400 original images and 12,000 distorted variants across 30 distortion types and 5 severity levels, designed to evaluate the robustness of multimodal large language models in visual question answering under image degradation.
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Technical Profile
- Modalities
- rgblanguage
- Task Types
- visual-question-answering
- Data Format
- TSV
- License
- cc-by-4.0
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