{"url":"/dataset/fp4s","name":"FP4S","full_name":"Floor plan image segmentation via scribble-based semi-weakly-supervised learning","description_markdown":"We introduce a new style- and category-agnostic floor plan image parsing benchmark developed in collaboration with professional architectural designers. This benchmark includes 25 categories of space and adjacency labels (19 space elements and 6 adjacency elements), offering a more diverse and comprehensive representation of common design elements across various graphical styles and design categories. It sets a new standard for the level of diversity and complexity of floor plan image parsing tasks oriented towards real-world applications, far exceeding the scope of existing datasets. This benchmark is available at https://doi.org/10.7910/DVN/MDIRHE.","description_withheld":null,"homepage":"https://doi.org/10.7910/DVN/MDIRHE","introduced_date":"2024-02-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/floor-plan-image-segmentation-via-scribble","title":"Floor Plan Image Segmentation Via Scribble-Based Semi-Weakly Supervised Learning: A Style and Category-Agnostic Approach","first_author":"Jielin CHEN;Rudi STOUFFS","url":null},"license":{"name":"CC0 1.0","url":"http://creativecommons.org/publicdomain/zero/1.0"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"2D Semantic Segmentation","url":"/task/2d-semantic-segmentation","datasets_with_task":"/datasets/task/2d-semantic-segmentation"},{"name":"Segmentation","url":"/task/segmentation","datasets_with_task":"/datasets/task/segmentation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["FP4S"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semantic-segmentation-on-fp4s","task":"Semantic Segmentation","dataset_variant":"FP4S","rows":1,"metrics":["Dice (Average)"],"first_row_in_archive_order":{"model":"FP4S","paper":"/paper/floor-plan-image-segmentation-via-scribble","metrics":{"Dice (Average)":"0.34"},"code_links":[{"title":"JanineCHEN/FP4S","url":"https://github.com/JanineCHEN/FP4S"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/floor-plan-image-segmentation-via-scribble","title":"Floor Plan Image Segmentation Via Scribble-Based Semi-Weakly Supervised Learning: A Style and Category-Agnostic Approach","date":"2024-02-15","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}