{"url":"/dataset/common-objects-in-3d","name":"Common Objects in 3D","full_name":null,"description_markdown":"Common Objects in 3D is a large-scale dataset with real multi-view images of object categories annotated with camera poses and ground truth 3D point clouds. The dataset contains a total of 1.5 million frames from nearly 19,000 videos capturing objects from 50 MS-COCO categories and, as such, it is significantly larger than alternatives both in terms of the number of categories and objects.\r\n\r\nSource: [Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction](/paper/common-objects-in-3d-large-scale-learning-and)","description_withheld":null,"homepage":"https://github.com/facebookresearch/co3d","introduced_date":"2021-09-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/common-objects-in-3d-large-scale-learning-and","title":"Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction","first_author":"Jeremy Reizenstein","url":null},"license":{"name":"BSD License","url":"https://github.com/facebookresearch/co3d/blob/master/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"3D Reconstruction","url":"/task/3d-reconstruction","datasets_with_task":"/datasets/task/3d-reconstruction"},{"name":"Single-View 3D Reconstruction","url":"/task/single-view-3d-reconstruction","datasets_with_task":"/datasets/task/single-view-3d-reconstruction"}],"languages":[],"variants":["Common Objects in 3D"],"data_loaders":[],"num_papers_in_archive":20,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/single-view-3d-reconstruction-on-common","task":"Single-View 3D Reconstruction","dataset_variant":"Common Objects in 3D","rows":3,"metrics":["Avg. F1"],"first_row_in_archive_order":{"model":"NU-MCC","paper":"/paper/nu-mcc-multiview-compressive-coding-with-1","metrics":{"Avg. F1":"83.8"},"code_links":[{"title":"sail-sg/numcc","url":"https://github.com/sail-sg/numcc"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/nu-mcc-multiview-compressive-coding-with-1","title":"NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF","date":"2023-07-18","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":16,"samples_ran":11,"samples_unverified":5,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/multiview-compressive-coding-for-3d","title":"Multiview Compressive Coding for 3D Reconstruction","date":"2023-01-19","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":4,"samples_unverified":2,"pointer_only_for_licence":6,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/pointr-diverse-point-cloud-completion-with","title":"PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers","date":"2021-08-19","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":22,"samples_ran":15,"samples_unverified":7,"pointer_only_for_licence":8,"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."}