{"url":"/dataset/libras-ufop","name":"LIBRAS-UFOP","full_name":null,"description_markdown":"A multimodal LIBRAS-UFOP Brazilian sign language dataset of minimal pairs using a microsoft Kinect senso.\r\n\r\nThe dataset is based on the concept of minimal pairs, which follows specific categorization criteria:\r\n- The signs are labeled correctly, and validated by an expert in sign language;\r\n- The dataset presents complete RGB-D and skeleton data.\r\n- The dataset consists of 56 different signs with high similarity grouped into four categories","description_withheld":null,"homepage":"https://doi.org/10.1016/j.eswa.2020.114179","introduced_date":"2021-04-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"Private","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Sign Language Recognition","url":"/task/sign-language-recognition","datasets_with_task":"/datasets/task/sign-language-recognition"}],"languages":[{"name":"Portuguese","url":"/datasets/language/portuguese"}],"variants":["LIBRAS-UFOP"],"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/sign-language-recognition-on-libras-ufop","task":"Sign Language Recognition","dataset_variant":"LIBRAS-UFOP","rows":1,"metrics":["Accuracy","F1-score","Precision","Recall"],"first_row_in_archive_order":{"model":"Skeleton Image Representation","paper":"/paper/enhancing-brazilian-sign-language-recognition","metrics":{"Accuracy":"82","F1-score":"80","Precision":"83","Recall":"81"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/enhancing-brazilian-sign-language-recognition","title":"Enhancing Brazilian Sign Language Recognition through Skeleton Image Representation","date":"2024-04-29","rows_on_this_dataset":1,"code_links":0,"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."}