Objectron
Object detection dataset
A dataset of short video clips with 3D bounding box annotations for object detection and tracking
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
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last commit: over 2 years ago
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3d3d-reconstruction3d-visionaiaugmented-realitycomputer-visiondatasetdeep-learningmachine-learningneural-networkpythonpytorchtensorflow
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