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ego4d-cvpr2022.pdf
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🔗 Source: cs.utexas.edu
📊 Size: 2.23 MB
📄 Pages: 18 pages
⬇️ Downloads: 71

Summary

Ego4D is a massive-scale egocentric video dataset and benchmark suite, offering 3,670 hours of daily-life activity video from 931 unique camera wearers in 74 worldwide locations and 9 countries. The dataset includes audio, 3D meshes, eye gaze, stereo, and synchronized videos, and is accompanied by millions of annotations. Ego4D aims to catalyze research in first-person visual perception, with five benchmark tasks: indexing past experiences, analyzing present interactions, and anticipating future activity. The dataset and benchmark suite are designed to push the frontier of first-person perception, with applications in computer vision, robotics, augmented reality, and multimodal learning.

Description

Ego4D is a massive-scale egocentric video dataset and benchmark suite, offering 3,670 hours of daily-life activity video from 931 unique camera wearers in 74...

Technical Information

  • File Format: PDF
  • File Size: 2.23 MB
  • Pages: 18
  • Language: EN
  • Total Downloads: 71
  • Last Updated: 2 hours ago

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