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Pegasus 1.6 by TwelveLabs

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Convert first-person video into robot-training data

The overview

What is Pegasus 1.6 by TwelveLabs?

Pegasus 1.6 is a TwelveLabs video model for converting egocentric, or first-person, footage into data for robot training. The launch focuses on footage captured from a person’s point of view and its use in robotics training. TwelveLabs describes its broader platform as supporting video search, analysis, and text generation.

Around the internet

What people are saying

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Inside the toolkit

Key features

Video-to-text analysis

Analyzes video and generates context-aware text such as summaries, tags, timestamps, or structured output.

First-person video understanding

Supports analysis of egocentric footage captured from the viewpoint of a person or device.

Improved people and object recognition

Recognizes people, characters, and objects in video with improved identification.

Native image analysis

Analyzes still images through the same API and prompts used for video.

Where it fits

Use cases

  • Label first-person recordings for roboticsSegment and label body-camera, robot-camera, or teleoperation footage for robotics and embodied-AI workflows.
  • Catalog and review media or security footageIdentify people and objects across video for media cataloging or security review.
  • Analyze still images and video in one integrationUse the same API for mixed image and video content, such as product photos with product videos.

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