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Pegasus 1.6 by TwelveLabs
Pegasus 1.6 by TwelveLabs is an AI platform that turns first-person video into structured, reviewable data for robotics and physical AI workflows.
Pegasus 1.6 by TwelveLabs converts first-person and robot video into structured, reviewable data for robotics and physical AI workflows. It helps robotics labs and data providers understand tasks, validate footage quality, and move usable video into data pipelines. The platform provides action segmentation and labeling, dense captioning for hand-object interactions, quality scoring, natural-language search and curation, and PII compliance flagging. Users can integrate with their own schema, custom action taxonomies, and verb lists from day one. It delivers structured JSON outputs, timestamped segments, and configurable quality prompts via API and SDK access with flexible deployment options.
Pegasus 1.6 by TwelveLabs at a glance
Key features
- Action Segmentation & Labeling
- Dense Captioning
- Quality Scoring
- Search & Curation
- Consent & Compliance Flagging
- Structured JSON outputs
Use it for
- Increase usable inventory and standardize delivery for data providers
- Convert raw video into structured training datasets for robotics labs
- Screen footage for quality and safety before ML processing
- Find rare events and edge cases across video libraries
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