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2,720 question–answer pairs comprise the VisualOverload benchmark for visual question answering (VQA). It was created by paulgavrikov and presented at CVPR 2026, with a last update recorded on 2026-04 15. The dataset is designed to challenge models on visual understanding tasks beyond global image comprehension.
The description notes that ground-truth responses are privately held, which may affect independent evaluation or reproduction.