Perceptron AI

Perceptron AI released EgoHome, an open benchmark for dense sub-second egocentric understanding of household-chore videos, with over 750 segments under 500ms and four annotation types: hand boxes, subtasks, hand actions and hand captions. GPT-6 Astra ranked first on the benchmark. The work targets the automatic labeling pipeline that underpins robot learning from human video, where mislabeled hand actions propagate errors into robot training.