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Pegasus 1.6 by TwelveLabs

Pegasus 1.6 by TwelveLabs

Transforms egocentric video into robot training data

271upvotes
Launched October 7, 2026

About Pegasus 1.6 by TwelveLabs

Pegasus 1.6 by TwelveLabs is an innovative AI-powered tool designed to transform egocentric and teleoperated video footage into structured, robot-ready training data. Built specifically for robotics and physical AI teams, it leverages advanced understanding of first-person video to accurately recognize entities and generate persistent metadata across various segment types. This means users can simply point Pegasus at raw wearable or teleoperation footage and receive detailed, labeled, timestamped data without the need for manual annotation. Its ability to handle egocentric perspectives offers a significant advantage for teams working with wearable cameras or teleoperation setups, streamlining the data labeling process and accelerating AI training workflows. Pegasus 1.6 stands out for its precision, automation, and focus on first-person video, making it a valuable tool for robotics developers and AI researchers seeking efficient, high-quality training datasets.

Screenshots

Pegasus 1.6 by TwelveLabs screenshot 1
Pegasus 1.6 by TwelveLabs screenshot 2
Pegasus 1.6 by TwelveLabs screenshot 3
Pegasus 1.6 by TwelveLabs screenshot 4

Pros

  • ✓Automates data labeling with high accuracy for egocentric videos
  • ✓Reduces manual effort and speeds up dataset creation
  • ✓Produces persistent, structured metadata suitable for robotics training
  • ✓Handles a variety of segment types for comprehensive analysis
  • ✓Optimized specifically for wearable and teleoperation footage

Cons

  • ✗Limited information on pricing and licensing options
  • ✗Potential learning curve for integrating into existing workflows
  • ✗Performance may vary with highly complex or cluttered scenes

Use Cases

1Transforming wearable camera footage into training data for robots
2Labeling teleoperation videos for autonomous robot learning
3Generating datasets for first-person AI perception models
4Accelerating physical AI development with automated metadata generation
5Creating high-quality labeled data for robot navigation and manipulation

Pricing

Pricing not verified

Quick Info

Upvotes271
Comments21
Launched10/7/2026

Topics

RobotsArtificial IntelligenceVideo

Makers

Hwigeon Oh

Hwigeon Oh

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