{"data":{"full_name":"google-research-datasets/Objectron","name":"Objectron","description":"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","stars":2325.0,"forks":265.0,"language":"Jupyter Notebook","license":"NOASSERTION","archived":0.0,"subcategory":"real-time-object-detection","last_pushed_at":"2026-03-06T17:27:37+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":1.0,"reverse_dep_count":0.0,"maintenance_score":13.0,"adoption_score":10.0,"maturity_score":16.0,"community_score":21.0,"quality_score":60.0,"quality_tier":"established","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T11:20:32.255171+00:00"}}