project-aria
Nymeria
Nymeria Dataset
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[Data Explorer]
[Code]
[Paper]
Nymeria is the world's largest dataset of human motion in the wild, capturing diverse people performing diverse activities across diverse locations. It is first of a kind to record body motion using multiple egocentric multimodal devices, all accurately synchronized and localized in one metric 3D world. Nymeria is also the world's largest motion dataset with natural language descriptions. The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/projectaria/Nymeria.aria-digital-twin
Aria Digital Twin (ADT) Dataset
Figure 1: An overview of the ADT dataset
Dataset Summary
ADT provides raw and synthesized sensor data from Project Aria glasses, combined with groundtruth data generated using a motion capture system including depth images, device trajectories, object trajectories and bounding boxes, and human tracking. We also provide processed sensor data from our Machine Perception Services. Go to ADT Data Format to see a full list of the data we… See the full description on the dataset page: https://huggingface.co/datasets/projectaria/aria-digital-twin.hot3d
HOT3D dataset
Resources: Homepage | HOT3D Toolkit | Whitepaper | Download
Introduction
HOT3D is a dataset for benchmarking egocentric tracking of hands and objects in 3D. The dataset includes 833 minutes of multi-view image streams, which show 19 subjects interacting with 33 diverse rigid objects and are annotated with accurate 3D poses and shapes of hands and objects. HOT3D is recorded with two head-mounted devices from Meta: Project Aria, a research prototype of… See the full description on the dataset page: https://huggingface.co/datasets/projectaria/hot3d.aria-synthetic-environments
Aria Synthetic Environments (ASE) Dataset
Introduction
The Aria synthetic environments (ASE) dataset is a large-scale synthetic dataset featuring 100,000 procedurally-generated indoor scenes. It is designed for research on 3D scene understanding, object detection, and tracking. Each scene is populated with realistic 3D objects and simulated sensor data that mirrors Project Aria glasses' characteristics.
Unlike prior datasets for 3D scene understanding, which are… See the full description on the dataset page: https://huggingface.co/datasets/projectaria/aria-synthetic-environments.aria-everyday-activities
Aria Everyday Activities (AEA) Dataset
Figure 1. An overview of Aria Everyday Activities (AEA) dataset using some exemplar activities recorded in Location 1. On the right column, we highlight a time-synchronized snapshot of two wearers talking to each other in one activity, with the following information representing each of the viewer in red and green: (1) their high-frequency 6DoF close-loop trajectories, (2) observed point cloud, (3) RGB camera view frustum, (4) monochrome scene… See the full description on the dataset page: https://huggingface.co/datasets/projectaria/aria-everyday-activities.aria-everyday-objects
Aria Everyday Objects Dataset
[Project Page] [Data Explorer] [Code] [Paper]
Aria Everyday Objects (AEO) is a small, challenging 3D object detection dataset for egocentric data. AEO consists of approximately 45 minutes of egocentric data across 25 sequences captured by non-computer vision experts collected in a diverse set of locations throughout the US. Oriented 3D bounding boxes have been annotated for each sequence. Annotation is done in 3D, using the camera calibration, SLAM… See the full description on the dataset page: https://huggingface.co/datasets/projectaria/aria-everyday-objects.