Ego4D
3,670 hours of life, seen through human eyes
Latest: Ego4D (public release 2022; CVPR 2022 paper)
The dataset that created modern egocentric AI research: 3,670 hours of daily-life first-person video from over 900 camera wearers across 74 locations in 9 countries, built by FAIR with a consortium of 13+ universities. Its benchmark suite (episodic memory, hands-and-objects, forecasting, social) still anchors annual competitions.
Why it matters
Ego4D created modern egocentric AI: 3,670 hours of first-person daily life from 900+ wearers in nine countries — about 20x any prior egocentric dataset — with benchmarks for episodic memory, hands-and-objects, forecasting and social interaction. It is the training ground for the 'where did I leave my keys' assistants behind Meta's glasses.
Facts
- At release it was roughly 20x larger than any prior egocentric video dataset.
- It directly feeds Meta's smart-glasses ambitions — models that remember where you left your keys were an explicit motivating demo.
Try it yourself
Get the dataset (start here) ↗ pip install ego4d (dataset CLI) ↗ Read the paper ↗