RESEARCH WITH PROJECT ARIA
Project Aria accelerates AR and AI research
OUR APPROACH
Project Aria helps researchers explore the future of AR and AI, before devices are mature
Project Aria is a research program from Meta Reality Labs Research that helps researchers understand the technical and non-technical challenges for building AR and AI devices.
In time, AR and AI technologies will empower us to achieve our goals via natural interfaces that understad our physical and digital worlds. By partnering with research institutions around the world, publishing research, and making resources openly available, we believe we can make this future a reality, responsibly.
Learn more about Project Aria Glasses
FEATURED RESEARCH
Innovating through open collaboration
Scene understanding
SceneScript
SceneScript is a method for representing and inferring scene geometry using an auto-regressive structured language model, and end-to-end learning.
Learn more about SceneScript
Enabling responsible innovation
EgoBlur
EgoBlur is a new AI model from Meta to preserve privacy by detecting and blurring PII from images.
The model detects and blurs faces and license plates in images and is intended to be used within both research and consumer applications.
Meta Reality Labs Research
EFM3D
The EMF3D benchmark accelerates a novel class of foundation models rooted in 3D space. A new model, EVL, establishes the first baseline for the benchmark.
Learn more about EFM3DDATASETS & CHALLENGES
Participate in Open Research
Work with Project Aria public datasets to accelerate the state of machine perception and AI
Learn more about Datasets
Learn more about Challenges
Featured dataset
Aria Everyday Activities
Aria Everyday Activities is a multi-purpose egocentric dataset created using Project Aria.
The dataset provides computer vision researchers access to anonymized Aria sequences, captured in a variety of scenarios, such as cooking, playing games, or exercising.
Featured dataset
Aria Synthetic Environments
Aria Synthetic Environments is a large-scale, fully simulated dataset of procedurally-generated interior scenes.
The dataset sets a new precedent for the scale of indoor environment datasets, surfacing exciting new research opportunities for tasks related to 3D scene reconstruction, and object detection and tracking.
Featured dataset
Aria Digital Twin
Aria Digital Twin is an real-world egocentric dataset captured using Aria glasses, with extensive simulated ground truth for devices, objects and environment.
TThe dataset sets a new standard for ‘digital twins’, accelerating research into challenges such as 3D object detection, scene reconstruction, and sim-to-real learning.
Read the Project Aria Research Paper
For more information about the Project Aria glasses, read our paper here.
PROJECT ARIA RESEARCH PAPER
A comprehensive toolkit for partners to harness Project Aria
For the broader research community Meta offers a kit that includes Project Aria glasses, tools, and services needed to conduct independent studies to help shape the future of AR.
LEARN MORE ABOUT ARIA RESEARCH KIT
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