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google-research-datasets/Objectron

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

2.3k 265 +0/wk
GitHub
3d 3d-reconstruction 3d-vision ai augmented-reality computer-vision dataset deep-learning machine-learning neural-network python pytorch
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Metric Objectron chemprop TengineKit scattertext
Stars 2.3k 2.3k2.3k2.3k
Forks 265 734308288
Weekly Growth +0 +0+0+0
Language Jupyter Notebook PythonC++Python
Sources 1 111
License NOASSERTION NOASSERTIONNOASSERTIONApache-2.0

Capability Radar vs chemprop

Objectron
chemprop
Maintenance Activity 85

Last code push 33 days ago.

Community Engagement 57

Fork-to-star ratio: 11.4%. Active community forking and contributing.

Issue Burden 70

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Growth Momentum 30

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License Clarity 30

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