{"url":"/dataset/sel","name":"SEL","full_name":null,"description_markdown":"The semantic line (SEL) dataset contains 1,750 outdoor images in total, which are split into 1,575 training and 175 testing images. Each semantic line is annotated by the coordinates of the two end-points on an image boundary. If an image has a single dominant line, it is set as the ground truth primary semantic line. If an image has multiple semantic lines, the line with the best rank by human annotators is set as the ground-truth primary line, and the others as additional ground-truth semantic lines. In SEL, 61% of the images contain multiple semantic lines.","description_withheld":null,"homepage":"http://mcl.korea.ac.kr/jtlee_iccv2017/","introduced_date":"2017-10-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/semantic-line-detection-and-its-applications","title":"Semantic Line Detection and Its Applications","first_author":"Jun-Tae Lee","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"},{"name":"Line Detection","url":"/task/line-detection","datasets_with_task":"/datasets/task/line-detection"}],"languages":[],"variants":["SEL"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/line-detection-on-sel","task":"Line Detection","dataset_variant":"SEL","rows":3,"metrics":["AUC_F","HIoU"],"first_row_in_archive_order":{"model":"HSLD","paper":"/paper/harmonious-semantic-line-detection-via","metrics":{"AUC_F":"86.83","HIoU":"81.03"},"code_links":[{"title":"dongkwonjin/Semantic-Line-MWCS","url":"https://github.com/dongkwonjin/Semantic-Line-MWCS"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/semantic-line-detection-using-mirror-1","title":"Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching","date":"2022-03-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/harmonious-semantic-line-detection-via","title":"Harmonious Semantic Line Detection via Maximal Weight Clique Selection","date":"2021-04-14","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/semantic-line-detection-and-its-applications","title":"Semantic Line Detection and Its Applications","date":"2017-10-01","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}