Apache 2.0
The publisher's licence permits commercial use and redistribution, with attribution.
The host asks you to sign in to Hugging Face and accept the publisher's terms before it serves files.
huggingface-cli download --repo-type dataset builddotai/Egocentric-10KGated 'auto': log in, share name, affiliation, email, phone and country, then a token works. 16.4 TB total; per-factory or per-worker shards can be selected with --include 'factory_001/**'. Card metadata elsewhere says 18 TB. A 100K-hour successor (builddotai/Egocentric-100K) exists under the same terms.
Specification, as published
- Hours (stated)
- 10,000 h
- Episodes (stated)
- 192,900 episodes
- Scale
- 10,000 hours, 1.08 billion frames, 192,900 clips, 85 factories
- Task
- Assembly, Sorting & packing, Other
- Modality
- RGB
- Capture
- Egocentric
- In frame
- Person hands
- Captured in
- Undisclosed
- Embodiment
- human
- Frame rate
- 30 fps
- Resolution
- 1920x1080
- Formats
- MP4, JSON, Other
- Size
- 16.4 TB
- Hosted on
- Hugging Face
Figures are the publisher's own. Kinetic Blocks has not measured this dataset.
About this dataset
Egocentric-10K is a large unlabeled corpus of first-person factory footage captured with Build AI's Gen 1 head-mounted fisheye camera. It contains about 1.08 billion frames in 192,900 clips (median 180 seconds) recorded across 85 factories, organised by factory and worker into tar shards of MP4 video with JSON metadata and fisheye calibration. The publisher highlights high hand visibility and dense manual work compared with in-the-wild egocentric sets. It is Apache-2.0 licensed but gated on Hugging Face behind a contact form.
Publisher's own task names: factory work, manual labour, active manipulation.
What Kinetic Blocks did, and did not do
Indexed and linked from the publisher. Not hosted, verified or graded by Kinetic Blocks. The publisher's terms govern. The licence shown is the one stated on the publisher's page, linked above. Nothing on this page is a claim by Kinetic Blocks.
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