An open framework with a free smartphone app, STERA pipeline, and 200-hour dataset enables hour-plus egocentric data collection on commodity hardware and demonstrates utility by lowering VLA action-prediction error after mid-training.
Scaling Egocentric Video Recognition: The EPIC- KITCHENS Dataset
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MobileEgo Anywhere: Open Infrastructure for long horizon egocentric data on commodity hardware
An open framework with a free smartphone app, STERA pipeline, and 200-hour dataset enables hour-plus egocentric data collection on commodity hardware and demonstrates utility by lowering VLA action-prediction error after mid-training.