Aria Everyday Objects

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A small-scale, real-world Project Aria dataset with high quality static 3D oriented bounding boxs annotations. Dataset Contents - Project Aria glasses data (including 2 x SLAM cameras, 1 x RGB camera, 2 x IMU, and complete sensor calibrations) - Aria machine perception service annotations including semi-dense point clouds and 6DoF device trajectory. - Manually-annotated 3D object bounding boxes Sequence Metrics - 45 minutes of egocentric recordings captured by non-computer vision experts across 25 diverse, primarily indoor, real-world environments - 1037 3D object bounding box instances across 17 classes: Bed, Chair, Couch, Door, Floor, Lamp, Mirror, Plant, Refrigerator, Screen, Sink, Storage, Table, Wall, WallArt, WasherDryer, and Window

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