AIM-Intelligence/EgoSafetyBench

EgoSafetyBench — Dataset Ego-view (chest-camera) physical-safety benchmark for evaluating vision-language models as runtime safety guards for humanoid robots. Each clip is a short, physically grounded moment; a guard must classify whether the unfolding action is safe or unsafe, and whether an in-scene channel (a sign, label, or screen) is misleading. Two-axis taxonomy Every video is labeled along two independent axes: Situational family — what the physical scene… See the full description on the dataset page: https://huggingface.co/datasets/AIM-Intelligence/EgoSafetyBench.

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