Ego4D: Around the World in 3,000 Hours of Egocentric Video
The University of Texas at Austin · University of Minnesota System · +17 more institutions
Abstract
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of dailylife activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations and 9 different countries. The approach to collection is designed to uphold rigorous privacy and ethics standards, with consenting participants and robust de-identification procedures where relevant. Ego4D dramatically expands the volume of diverse egocentric video footage publicly available to the research community. Portions of the video are accompanied by audio, 3D meshes of the environment, eye gaze, stereo, and/or synchronized videos…
Citation impact
- FWCI
- 29.44
- Percentile
- 100%
- References
- 302
Authors
85Topics & keywords
- Suite
- Computer science
- Benchmark (surveying)
- Gaze
- Event (particle physics)
- Perception
- Identification (biology)
- Multimedia