{"url":"/dataset/draco20k","name":"DRACO20K","full_name":null,"description_markdown":"DRACO20K dataset is used for evaluating object canonicalization on methods that estimate a canonical frame from a monocular input image.\r\n\r\nProvides:\r\n1. Mixed Reality Multi-view RGB-D images rendered from ShapeNet objects\r\n2. Camera poses\r\n3. NOCS maps\r\n4. Semantic 2D keypoints with visibility\r\n5. Object-centric mask","description_withheld":null,"homepage":"https://aadilmehdis.github.io/DRACO-Project-Page/","introduced_date":"2020-11-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/draco-weakly-supervised-dense-reconstruction","title":"DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects","first_author":"Rahul Sajnani","url":null},"license":{"name":"MIT License","url":"https://github.com/RahulSajnani/DRACO-Weakly-Supervised-Dense-Reconstruction-And-Canonicalization-of-Objects/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"3D Reconstruction","url":"/task/3d-reconstruction","datasets_with_task":"/datasets/task/3d-reconstruction"},{"name":"3D Pose Estimation","url":"/task/3d-pose-estimation","datasets_with_task":"/datasets/task/3d-pose-estimation"},{"name":"3D Depth Estimation","url":"/task/3d-depth-estimation","datasets_with_task":"/datasets/task/3d-depth-estimation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DRACO20K"],"data_loaders":[],"num_papers_in_archive":2,"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."}