Video · Image / AI & Machine Learning
Multiple Scenes Ego-Centric Data | Egocentric Data | Embodied Data | 100K Hours
Advertised by providerLicensing rights not independently verifiedPaid licence
Overview
Multiple Scenes Ego-Centric Data | Egocentric Data | Embodied Data | 100K Hours is a video and image dataset. The provider states a volume of 100,000 hours. Typical applications include robotics & embodied AI. Relevant sectors: AI & Machine Learning, Education and Manufacturing & Industrial. The listing mentions timestamps. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 100k hours.
- Listing mentions timestamps.
1. Overview 100K Hours Multiple Scenes Ego-Centric Data, human manipulation data captured from a first-person view across real-world scenarios. Each record includes: 1time-aligned binocular video, 2binocular camera parameters, 33D scene reconstruction point cloud file, 4human body joint data, 5stepwise semantic annotation file. This data can be used for training VLA model of embodied AI. 2. Specifications Data content: 100,000 hours of human manipulation data captured from a first-person view across real-world scenarios. Each record includes: 1time-aligned binocular video, 2binocular camera parameters, 33D scene reconstruction point cloud file, 4human body joint data, 5stepwise semantic annotation file Collection devices: PICO 4 Ultra headset worn on the head, and IMU wristbands worn on both wrists Data distribution: real-world scenarios(like kitchen, room, hotel, etc.) that including multiple daily manipulation tasks(like food preparation & cooking, cleaning, object organizing & storage, bed making, clothing folding, etc.) 3. About the provider the provider owns ready-to-use PB-level Large Language Model(LLM) Data, 3 million hours of Multilingual Language Data, 800TB of Computer Vision Data and Embodied Data. These ready-to-go Machine Learning (ML) Data support instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.the provider.ai/industries/embodied-ai?source=the provider
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- Volume
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- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
Price on request
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