{"url":"/dataset/octscenes","name":"OCTScenes","full_name":null,"description_markdown":"**OCTScenes** contains 5000 tabletop scenes with a total of 15 everyday objects. Each scene is captured in 60 frames covering a 360-degree perspective.\r\n\r\nOCTScenes-A dataset, the 0--3099 scenes without segmentation annotation are for training, while the 3100--3199 scenes with segmentation annotation can be used for testing. In the OCTScenes-B dataset, the 0--4899 scenes without segmentation annotation are for training, while the 4900--4999 scenes with segmentation annotation can be used for testing.","description_withheld":null,"homepage":"https://huggingface.co/datasets/Yinxuan/OCTScenes","introduced_date":"2023-06-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/octscenes-a-versatile-real-world-dataset-of","title":"OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning","first_author":"Yinxuan Huang","url":null},"license":{"name":"CC BY-NC 4.0","url":"https://huggingface.co/datasets?license=license:cc-by-nc-4.0"},"modalities":[{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["OCTScenes"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/Yinxuan/OCTScenes","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":1,"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."}