Training a robot to fold laundry or unload a dishwasher sounds simple until you realize almost no publicly available video shows a real person doing it, uncut, from their own point of view, in their own messy kitchen. Reka just released RekaDaily-10k: 10,312 hours of unscripted, first-person household footage collected by paid contributors in real homes across the US, Latin America, Asia, and Africa.
What it actually is
Egocentric video, shot from a head-mounted camera, is the format that matters most for training physical AI. Models that need to understand how to manipulate objects in the real world need to see what a human sees while doing it, not a third-person camera watching from across the room. One continuous first-person view of somebody actually doing a task, at the speed they actually do it, in the mess they actually live in, is what gives a model something to learn from.
RekaDaily-10k ships in two tiers:
- Raw tier — 10,312 hours of unfiltered footage, letting teams apply their own clipping, filtering, and annotation workflows.
- Processed and captioned tier — Footage cut into shorter clips and captioned, for teams that want language supervision out of the box.
The Apache 2.0 licence covers commercial use and redistribution. Each clip ships as video with a text caption. Roughly 1,670 hours are in native 4K, which is unusually high resolution for a dataset of this type. The raw tier is live now on Hugging Face; the full 10,312-hour set is rolling out incrementally.
Where the footage comes from
Claru is a paid collection network of more than 100,000 people recording the physical world. Collectors join a project, pass a qualification assessment, then record, submit, and get paid per accepted hour. This model differs from teleoperation, where a human remotely controls a robot arm, and from synthetic data, where scenes are computer-generated. Teleoperated data is precise but slow to produce and tends to reflect the tidiness of controlled recording spaces. Synthetic scenes scale but smooth over the clutter of real homes.