{"url":"/dataset/objectron","name":"Objectron","full_name":null,"description_markdown":"The **Objectron** dataset is a collection of short, object-centric video clips, which are accompanied by AR session metadata that includes camera poses, sparse point-clouds and characterization of the planar surfaces in the surrounding environment. In each video, the camera moves around the object, capturing it from different angles. The data also contain manually annotated 3D bounding boxes for each object, which describe the object’s position, orientation, and dimensions. The dataset consists of 15K annotated video clips supplemented with over 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes. To ensure geo-diversity, the dataset is collected from 10 countries across five continents.\n\nSource: [https://github.com/google-research-datasets/Objectron](https://github.com/google-research-datasets/Objectron)\nImage Source: [https://github.com/google-research-datasets/Objectron](https://github.com/google-research-datasets/Objectron)","description_withheld":null,"homepage":"https://github.com/google-research-datasets/Objectron","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/objectron-a-large-scale-dataset-of-object","title":"Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations","first_author":"Adel Ahmadyan","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Tracking","url":"/task/object-tracking","datasets_with_task":"/datasets/task/object-tracking"},{"name":"3D Object Detection","url":"/task/3d-object-detection","datasets_with_task":"/datasets/task/3d-object-detection"},{"name":"3D Shape Representation","url":"/task/3d-shape-representation","datasets_with_task":"/datasets/task/3d-shape-representation"}],"languages":[],"variants":["Objectron"],"data_loaders":[{"repo":"https://github.com/activeloopai/Hub","url":"https://docs.activeloop.ai/datasets/objectron-dataset","frameworks":["tf","pytorch"]},{"repo":"https://github.com/google-research-datasets/Objectron","url":"https://github.com/google-research-datasets/Objectron","frameworks":["tf"]}],"num_papers_in_archive":48,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}