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Dataset Download
Ego-Exo4D is a multimodal video dataset and benchmark for studying skilled everyday activities from first and third person views.
About Dataset Download
Ego-Exo4D is a large-scale multimodal video dataset and benchmark focused on skilled human activities, captured simultaneously from first-person (ego) and third-person (exo) perspectives. It was collected across 13 cities by 740 participants, totaling 1286.3 hours of footage covering 9 skilled activity scenarios including cooking, basketball, bike repair, bouldering, music, soccer, health, dance, and rock climbing. The dataset includes three types of synchronized natural language annotations paired with video to support video-language research, multi-view capture using calibrated, time-synchronized Aria glasses and 4-5 stationary GoPros per scenario, and additional sensor modalities including microphones, IMUs, barometers, magnetometers, 6DoF localization data, eye gaze tracking, and point clouds. It supports research in multi-modal machine perception for daily life activity understanding, and hosts associated benchmark challenges in collaboration with eval.ai.
Key features
- Multimodal video dataset of skilled human activities from ego and exo views
- Three synchronized natural language annotation types paired with video
- Calibrated, time-synchronized multi-view capture with Aria glasses and GoPros
- Additional sensor modalities including IMUs, microphones, gaze, and point clouds
- Benchmark challenges for keystep recognition, proficiency estimation, and pose estimation
- Publicly accessible via CLI downloader after 2-day license approval process
Best for: Researchers focused on multi-modal machine perception and video-language learning for skilled human activity understanding.
Good for
- Large-scale dataset with over 1286 hours of synchronized ego-exo video across 9 skilled activity scenarios
- Includes three types of synchronized natural language annotations paired with video for video-language research
- Captures multiple additional sensor modalities alongside video to support multi-modal perception research
Watch out for
- Nearly all video is not de-identified, limiting use cases requiring anonymized participant data
- Access requires a 2-day license approval process, and prior Ego4D license signers must sign a new license
- Additional metadata, features, and models are not yet released, with planned availability before the end of the year
Dataset Download at a glance
- Website
- ego-exo4d-data.org
- Category
- Research & Data › Open Data & Datasets
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Dataset Download FAQ
How can I download the Ego-Exo4D dataset?
The dataset is publicly available; access requires signing the Ego-Exo4D license (approval takes approximately 2 days) and using the provided CLI downloader, with full instructions on the Documentation Site.
Do prior Ego4D license signers need to sign a new license for Ego-Exo4D?
Yes, a new license is required as new university partners are part of the Ego-Exo4D effort.
Does the Ego-Exo4D dataset contain identifying information of individuals?
Nearly all video is not de-identified, as scenarios are conducted in closed environments with no passerby; full privacy and data collection details are outlined in the associated research paper.
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