{"url":"/dataset/wireframe","name":"Wireframe","full_name":null,"description_markdown":"The **Wireframe** dataset consists of 5,462 images (5,000 for training, 462 for test) of indoor and outdoor man-made scenes.\r\n\r\nSource: [MCMLSD: A Probabilistic Algorithm and Evaluation Framework for Line Segment Detection](https://arxiv.org/abs/2001.01788)\r\nImage Source: [https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Learning_to_Parse_CVPR_2018_paper.pdf](https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Learning_to_Parse_CVPR_2018_paper.pdf)","description_withheld":null,"homepage":"https://github.com/huangkuns/wireframe","introduced_date":"2018-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-parse-wireframes-in-images-of-man-1","title":"Learning to Parse Wireframes in Images of Man-Made Environments","first_author":"Kun Huang","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Multi-Task Learning","url":"/task/multi-task-learning","datasets_with_task":"/datasets/task/multi-task-learning"},{"name":"Line Segment Detection","url":"/task/line-segment-detection","datasets_with_task":"/datasets/task/line-segment-detection"}],"languages":[],"variants":["wireframe dataset","Wireframe"],"data_loaders":[{"repo":"https://github.com/huangkuns/wireframe","url":"https://github.com/huangkuns/wireframe","frameworks":["pytorch"]}],"num_papers_in_archive":57,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/line-segment-detection-on-wireframe-dataset","task":"Line Segment Detection","dataset_variant":"wireframe dataset","rows":10,"metrics":["sAP5","sAP10","sAP15","FH"],"first_row_in_archive_order":{"model":"ELSD","paper":"/paper/elsd-efficient-line-segment-detector-and","metrics":{"FH":"83.1","sAP10":"68.9","sAP15":"70.9","sAP5":"64.3"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/multi-task-learning-on-wireframe-dataset","task":"Multi-Task Learning","dataset_variant":"wireframe dataset","rows":1,"metrics":["FH","sAP10","sAP15"],"first_row_in_archive_order":{"model":"LETR","paper":"/paper/line-segment-detection-using-transformers","metrics":{"FH":"83.3","sAP10":"65.2","sAP15":"67.7"},"code_links":[{"title":"mlpc-ucsd/LETR","url":"https://github.com/mlpc-ucsd/LETR"},{"title":"abrarum/bezierobjdet","url":"https://github.com/abrarum/bezierobjdet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/lsdnet-trainable-modification-of-lsd","title":"LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection","date":"2022-09-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/towards-real-time-and-light-weight-line","title":"Towards Light-weight and Real-time Line Segment Detection","date":"2021-06-01","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/elsd-efficient-line-segment-detector-and","title":"ELSD: Efficient Line Segment Detector and Descriptor","date":"2021-04-29","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/fully-convolutional-line-parsing","title":"Fully Convolutional Line Parsing","date":"2021-04-22","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":19,"samples_ran":2,"samples_unverified":17,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/line-segment-detection-using-transformers","title":"Line Segment Detection Using Transformers without Edges","date":"2021-01-06","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/ulsd-unified-line-segment-detection-across","title":"ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras","date":"2020-11-06","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/tp-lsd-tri-points-based-line-segment-detector-1","title":"TP-LSD: Tri-Points Based Line Segment Detector","date":"2020-09-11","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/deep-hough-transform-line-priors","title":"Deep Hough-Transform Line Priors","date":"2020-07-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/holistically-attracted-wireframe-parsing","title":"Holistically-Attracted Wireframe Parsing","date":"2020-03-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/190503246","title":"End-to-End Wireframe Parsing","date":"2019-05-08","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":1,"samples_unverified":13,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/mcmlsd-a-dynamic-programming-approach-to-line","title":"MCMLSD: A Dynamic Programming Approach to Line Segment Detection","date":"2017-07-01","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":34,"samples_ran":4,"samples_unverified":30,"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."}