Pegasus 1.6 by TwelveLabs
Transforms egocentric video into robot training data
Listing details
HiCyou directory record
- Listed website
- twelvelabs.io
- Directory record created
- Oct 8, 2026
- Last record update
- Oct 8, 2026
Listing information
- Overview
- 5 key features
- 3 use cases
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What is Pegasus 1.6 by TwelveLabs
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.
Key Features
Use Cases
- Converting teleoperation footage into robot training data
- Processing wearable camera footage for physical AI research
- Automated labeling and annotation of first-person video datasets
Why do startups need this tool?
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.
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