{"data":{"slug":"google-research-datasets-objectron","name":"Objectron","tagline":"Dataset of object-centric video clips for 3D reconstruction and computer vision tasks.","github_url":"https://github.com/google-research-datasets/Objectron","owner":"google-research-datasets","repo":"Objectron","owner_avatar_url":"https://avatars.githubusercontent.com/u/14796310?v=4","primary_language":"Jupyter Notebook","stars":2344,"forks":267,"topics":["3d","3d-reconstruction","3d-vision","ai","augmented-reality","computer-vision","dataset","deep-learning","machine-learning","neural-network","python","pytorch","tensorflow"],"archived":false,"github_pushed_at":"2026-03-06T17:27:37+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/google-research-datasets-objectron","markdown_url":"https://www.graphcanon.com/tools/google-research-datasets-objectron.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/google-research-datasets-objectron","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=google-research-datasets-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","homepage_url":null,"license":"Other","open_issues":31,"watchers":60,"ai_summary":"Objectron provides short video clips with AR metadata and 3D bounding boxes for objects like bikes, books, bottles, among others, supporting around 15K annotated videos and 4M images.","readme_excerpt":"## License\nObjectron is released under [Computational Use of Data Agreement 1.0 (C-UDA-1.0)](https://github.com/microsoft/Computational-Use-of-Data-Agreement). A [copy](https://github.com/google-research-datasets/Objectron/blob/master/LICENSE) of the license is available in this repository.","github_created_at":"2020-10-19T21:58:41+00:00","created_at":"2026-07-11T12:23:54.159563+00:00","updated_at":"2026-07-31T06:00:42.360714+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"}],"tags":[{"slug":"3d-vision","name":"3d-vision"},{"slug":"augmented-reality","name":"augmented-reality"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"dataset","name":"dataset"}],"trust":{"provenance":{"is_fork":false,"github_id":305522835,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-31T06:00:41.612Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":146,"last_release_at":"2021-07-07T23:00:09Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:23:57.658Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-31T06:00:42.076Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-07-31T06:00:42.076Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-07-31T06:00:42.076Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["You need AR session metadata including camera poses and sparse point-clouds.","Your project involves 3D reconstruction using annotated videos and images.","Research or application targets objects like bikes, books, bottles, among listed types."],"when_not_to_use":["Project does not require 3D bounding boxes for object position, orientation data.","No demand for AR metadata such as camera poses in your project.","Targeted object categories are outside the provided dataset like cars or airplanes."],"source":"enrich:decision_facts","observed_at":"2026-07-17T02:02:44.146Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Objectron offers AR metadata and 3D bounding boxes for various object types in video clips, fitting needs of research and applications focused on 3D reconstruction and computer vision."}]}}