Video / Consumer & Lifestyle
Physical AI Egocentric Dataset: Pick-Place-Recover
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
Physical AI Egocentric Dataset: Pick-Place-Recover is a video dataset. Typical applications include LLM pre-training and robotics & embodied AI. Relevant sectors: Consumer & Lifestyle. The listing mentions keypoints. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions keypoints.
A video dataset of Pick-Place-Recover actions using various objects in everyday environments for Physical AI model training. Includes ECoT annotations, hand keypoint and skeleton visualization videos, and structured metadata such as trajectory data.
Technical specifications
- Modalities
- Video
- File formats
- Not specified by the provider
- Volume
- Not specified by the provider
- Languages
- Not specified by the provider
Related datasets
More in Video & Physical AI →VideoAdvertised
Egocentric Multi-View Dataset with 21-points 3D hand Keypoints Annotations
This dataset contains 10 multi-view egocentric household-activity demonstrations captured on head-mounted stereo camera and wrist cameras (no robot involved).
- Language
- English
- Volume
- —
- Domain
- Manufacturing & Industrial +2
- Use case
- LLM pre-training
Price on request
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