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Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Registry - Source - Documentation - JSON
purl: pkg:golang/github.com/google-research-datasets/%21objectron
Keywords: 3d , 3d-reconstruction , 3d-vision , ai , augmented-reality , computer-vision , dataset , deep-learning , machine-learning , neural-network , python , pytorch , tensorflow
License: GPL-1.0+
Latest release: almost 4 years ago
First release: about 4 years ago
Stars: 2,203 on GitHub
Forks: 264 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 4 days ago

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