Ego4d

Why we included this project

Researchers and engineers working on first-person perception will find this the reference implementation for the Ego4D and Ego-Exo4D datasets, the largest public collections of egocentric video. The repository is not a model you run directly; it is the official tooling for getting the data into your own pipeline. It ships command-line downloaders for both datasets, a visualizer for browsing clips and annotations, and feature-extraction utilities, so you can move from license approval to usable tensors without hand-writing download scripts. The bundled benchmark tasks, covering episodic memory, hand-object interaction, audio-visual diarization, social interaction, and forecasting, give you ready-made evaluation targets if you are building models for wearable or assistive AI. Teams planning to train on egocentric video should start here to understand the annotation formats and the exact data access workflow before committing to a larger experiment.