Residential and Non-Residential Egocentric + Sensor Data | First-Person Videos for Physical AI, Robotics & Egocentric Vision with Synchronized Sensors
Overview
Residential and Non-Residential Egocentric + Sensor Data | First-Person Videos for Physical AI, Robotics & Egocentric Vision with Synchronized Sensors is a multimodal dataset. Typical applications include object detection and robotics & embodied AI. Relevant sectors: AI & Machine Learning and Manufacturing & Industrial. Pricing is not published and is provided on request.
Primary applications
This egocentric video dataset is a collection of high-quality first-person videos recorded in real work + residential environments across Pakistan at 1080p resolution or higher. The dataset captures natural work from the human point of view. The dataset is built for Physical AI, robotics, egocentric vision, household automation, manipulation learning, and embodied AI. It focuses primarily on non-residential tasks such as tailoring, laundry, goldsmithing, carpentry, 3-D printing, farming and auto-mechanic-related work, and residential tasks such as cleaning, cooking, folding clothes and more.
Technical specifications
- Modalities
- Video, Multimodal
- File formats
- MP4, JSON, CSVInferred
- Volume
- Not specified by the provider
Related datasets
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- Language
- English
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- LLM pre-training
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