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- twelvelabs.io
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- 2026年10月8日
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- 2026年10月8日
条目包含的信息
- 概述
- 5 项核心功能
- 3 个使用场景
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Pegasus 1.6 by TwelveLabs 是什么
Pegasus 1.6 is a video understanding model by TwelveLabs designed for robotics and physical AI teams. It analyzes egocentric and teleoperated footage from a first-person point of view, recognizing entities and producing persistent metadata across segment types. Teams can feed raw teleoperation or wearable video into the model and receive labeled, timestamped data ready for robot training, without a manual labeling pass.
核心功能
使用场景
- Converting teleoperation footage into robot training data
- Processing wearable camera footage for physical AI research
- Automated labeling and annotation of first-person video datasets
创业公司为什么需要这个工具?
Startups building in robotics and physical AI often sit on large volumes of raw first-person video that is expensive to label by hand. Pegasus 1.6 addresses this bottleneck by turning that footage directly into structured, timestamped training data, letting small teams move from data collection to model training faster.




