Ego4D
Meta-led 3,670-hour massive-scale egocentric human video dataset and benchmark suite from 923 wearers in 9 countries.
| Year | 2022 |
|---|---|
| Total hours | 3,670 |
| Embodiments | human |
| Modalities | audio, language, rgb |
| Task categories | manipulation, navigation, perception |
| License | research-only |
| Access | open |
| Maintainer | Meta AI (Facebook AI Research) and academic consortium |
Ego4D is a massive-scale dataset of 3,670 hours of daily-life egocentric (first-person) video captured by 923 unique camera wearers across 74 locations in 9 countries, built by a consortium of Facebook AI (Meta) and 13 universities. Portions include audio, 3D environment meshes, eye gaze, stereo, multi-camera footage, IMU, and dense textual narrations, supporting five benchmark suites (episodic memory, hands-and-objects, audio-visual diarization, social interaction, forecasting). It captures human activity only and contains no robot embodiment, but is widely used in embodied AI and egocentric-perception research as a robot-manipulation pretraining corpus.