{"url":"/dataset/udis-d","name":"UDIS-D","full_name":"Unsupervised Deep Image Stitching Dataset","description_markdown":"UDIS-D is a large image dataset for image stitching or image registration. It contains different overlap rates, varying degrees of parallax, and variable scenes such as indoor, outdoor, night, dark, snow, and zooming.","description_withheld":null,"homepage":"","introduced_date":"2021-06-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/unsupervised-deep-image-stitching","title":"Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images","first_author":"Lang Nie","url":null},"license":{"name":"MIT","url":"https://github.com/nie-lang/UnsupervisedDeepImageStitching"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Registration","url":"/task/image-registration","datasets_with_task":"/datasets/task/image-registration"},{"name":"Image Stitching","url":"/task/image-stitching","datasets_with_task":"/datasets/task/image-stitching"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["UDIS-D"],"data_loaders":[{"repo":"https://github.com/nie-lang/udis2","url":"https://github.com/nie-lang/udis2","frameworks":["pytorch"]}],"num_papers_in_archive":11,"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."}