{"url":"/dataset/uded","name":"UDED","full_name":"Unified Dataset for Edge Detection","description_markdown":"This dataset is a collection of 1, 2, or 3 images from: BIPED, BSDS500, BSDS300, DIV2K, WIRE-FRAME, CID, CITYSCAPES, ADE20K, MDBD, NYUD, THANGKA, PASCAL-Context, SET14, URBAN10, and the camera-man image. The image selection process consists on computing the Inter-Quartile Range (IQR) intensity value on all the images, images larger than 720×720 pixels were not considered. In dataset whose images are in HR, they were cut. We thank all the datasets owners to make them public. This dataset is just for Edge Detection not contour nor Boundary tasks.","description_withheld":null,"homepage":"https://github.com/xavysp/UDED","introduced_date":"2023-08-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/tiny-and-efficient-model-for-the-edge","title":"Tiny and Efficient Model for the Edge Detection Generalization","first_author":"Xavier Soria","url":null},"license":null,"modalities":[],"tasks":[{"name":"Edge Detection","url":"/task/edge-detection","datasets_with_task":"/datasets/task/edge-detection"}],"languages":[],"variants":["UDED"],"data_loaders":[{"repo":"https://github.com/xavysp/teed","url":"https://github.com/xavysp/teed","frameworks":["pytorch"]}],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/edge-detection-on-uded","task":"Edge Detection","dataset_variant":"UDED","rows":5,"metrics":["ODS"],"first_row_in_archive_order":{"model":"DDN","paper":"/paper/a-doubly-decoupled-network-for-edge-detection","metrics":{"ODS":"0.832"},"code_links":[{"title":"Li-yachuan/DDN","url":"https://github.com/Li-yachuan/DDN"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-doubly-decoupled-network-for-edge-detection","title":"A Doubly Decoupled Network for edge detection","date":"2025-04-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/tiny-and-efficient-model-for-the-edge","title":"Tiny and Efficient Model for the Edge Detection Generalization","date":"2023-08-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/ldc-lightweight-dense-cnn-for-edge-detection","title":"LDC: Lightweight Dense CNN for Edge Detection","date":"2022-06-27","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/dense-extreme-inception-network-for-edge","title":"Dense Extreme Inception Network for Edge Detection","date":"2021-12-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/pixel-difference-networks-for-efficient-edge","title":"Pixel Difference Networks for Efficient Edge Detection","date":"2021-08-16","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":6,"samples_unverified":1,"pointer_only_for_licence":7,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":7,"samples_ran":6,"samples_unverified":1,"pointer_only_for_licence":7,"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."}