Use with LLMs for grounded spatial reasoning, AR/VR simulations, or multimodal understanding.
The Aria Synthetic Environments (ASE) dataset is part of the Project Aria research initiative by Meta Reality Labs. It contains multimodal data captured in controlled synthetic or structured environments, including visual, depth, and sensor data collected from wearable devices. The dataset is designed to support research in egocentric perception and embodied AI.
The Ase Dataset Is Used To Develop And Evaluate Algorithms For Spatial Understanding, Perception, And Egocentric Vision. It Supports Research In Augmented Reality, Robotics, And Embodied Ai Systems That Require Understanding Of 3d Environments From A First-person Perspective.
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