{"url":"/dataset/lsa16","name":"LSA16","full_name":"Lengua de Señas Argentina - 16 Handshapes classes","description_markdown":"This database contains images of 16 handshapes of the Argentinian Sign Language (LSA), each performed 5 times by 10 different subjects, for a total of 800 images. The subjects wore color hand gloves and dark clothes.\r\n\r\nRecording\r\nThe dataset was recorded in an indoors environment, with artificial lightning.\r\n\r\nSubjects wore dark clothes and performed the handshapes standing, with a white wall as a background. To simplify the problem of hand segmentation, subjects wore fluorescent-colored gloves. These substantially simplify the problem of recognizing the position of the hand and performing its segmentation, and remove all issues associated to skin color variations, while fully retaining the difficulty of recognizing the handshape. The subjects performed the same handshape with both hands.\r\n\r\nEach handshape was executed imposing few constraints on the subjects to increase diversity and realism in the database. All subjects were non-signers and right-handed, were taught how to perform the handshape during the shooting session by showing them an image of the handshape as performed by one of the authors, and practiced each handshape a few times before recording.\r\n\r\nWe employed a generic webcam for the recording, with a resolution of 640 by 480.","description_withheld":null,"homepage":"http://facundoq.github.io/datasets/lsa16/","introduced_date":"2016-04-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"Creative Commons","url":"http://facundoq.github.io/datasets/lsa16/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Hand Gesture Recognition","url":"/task/hand-gesture-recognition","datasets_with_task":"/datasets/task/hand-gesture-recognition"}],"languages":[{"name":"Spanish","url":"/datasets/language/spanish"}],"variants":["LSA16"],"data_loaders":[{"repo":"https://github.com/midusi/handshape_datasets","url":"https://github.com/midusi/handshape_datasets","frameworks":[]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/hand-gesture-recognition-on-lsa16","task":"Hand Gesture Recognition","dataset_variant":"LSA16","rows":3,"metrics":["Accuracy "],"first_row_in_archive_order":{"model":"Prototypical Networks + CNN","paper":"/paper/a-comparison-of-small-sample-methods-for","metrics":{"Accuracy ":"98.38"},"code_links":[{"title":"midusi/cacic2019-handshapes","url":"https://github.com/midusi/cacic2019-handshapes"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/handshape-recognition-for-argentinian-sign-1","title":"Handshape recognition for Argentinian Sign Language using ProbSom","date":"2023-10-26","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/a-comparison-of-small-sample-methods-for","title":"A comparison of small sample methods for Handshape Recognition","date":"2023-04-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-study-of-convolutional-architectures-for","title":"A Study of Convolutional Architectures for Handshape Recognition applied to Sign Language","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":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."}