Research datasets for accelerating state-of-the-art

AR and AI technologies will have a profound impact on the world.

Datasets captured using Project Aria allow us to explore the technical and societal challenges associated with future AR and AI devices, prior to those devices being publicly available.

By making Project Aria datasets available to academic researchers, we hope we can support the growth of AI and ML, enabling us to help build the future for the better, together.

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Project Aria Open Datasets

A thumbnail shows a snapshot from the Aria Everyday Activities Dataset

Aria Everyday Activities
(Re-release of Aria Pilot Dataset)

A real-world dataset, consisting of common activities within common environments

Aria Synthetic Environments

A procedurally-generated synthetic dataset for large-scale ML training

Aria Digital Twin

A real-world dataset, with dynamic and photorealistic digital counterpart

Hot3D

A new benchmark dataset for researching vision-based hand-object interaction

A thumbnail shows a snapshot from the DTC

Nymeria

A large-scale multimodal egocentric dataset for full-body motion understanding

DTC

The world’s highest quality dataset for object reconstruction research

A thumbnail shows a snapshot from the AEO

AEO

A small-scale, real-world Project Aria dataset with high quality 3D OBB annotations

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