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linlingw/EatVid-Bench

EatVid-Bench: A Multimodal Fine-Grained Eating Behavior Video Dataset Dataset Description EatVid-Bench is a multimodal benchmark dataset for evaluating video understanding models on fine-grained eating behavior analysis. It contains anonymized long-form eating videos and question-answer annotations covering food recognition, utensil perception, action understanding, and temporal reasoning. The dataset is designed to support research on long-form video… See the full description on the dataset page: https://huggingface.co/datasets/linlingw/EatVid-Bench.

Author / organizationlinlingw
License (as declared)other
Downloads518 (as reported by Hugging Face)
Likes1
Created25 June 2026
Last updated at source2 July 2026
videovideo-question-answeringlong-form-video-understandingeating-behaviorfood-recognitiontemporal-reasoningmultimodalbenchmarkeccv-2026
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