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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
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Merge pull request #85 from bhandarivijay-png/ai-gsutil-migration-1870093beb8b4b9b8b1ab260f854be38
46daaa0View on GitHubFix the bug in the eval code, and add ADD and ADD-S metric to the evaluation (#32)
aeee3aaView on GitHubAdd a notebook for parsing Objectron's geometry files and tutorial on projecting 3D points. (#9)
2ec1827View on GitHubState the fact that the solutions are trained using this dataset.
ed14fbbView on GitHub