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Sign Language Recognition datasets
archive 2025-07-28
30 datasets carry the task tag "Sign Language Recognition" (the task itself: Sign Language Recognition), ordered by the archive's paper count. Page 1 of 1: 30 shown of 30. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Sign Language Recognition datasets 1–30 of 30
Over a period of three years (2009 - 2011) the daily news and weather forecast airings of the German public tv-station PHOENIX featuring sign language interpretation have been recorded and the weather forecasts of a subset of 386 editions…
114 papers · 2 benchmarks
WLASL (Word-Level American Sign Language)
WLASL is a large video dataset for Word-Level American Sign Language (ASL) recognition, which features 2,000 common different words in ASL.
66 papers · 3 benchmarks
CSL-Daily (Chinese Sign Language Corpus) is a large-scale continuous SLT dataset.
63 papers · 2 benchmarks
How2Sign (A Large-scale Multimodal Dataset for Continuous American Sign Language)
The How2Sign is a multimodal and multiview continuous American Sign Language (ASL) dataset consisting of a parallel corpus of more than 80 hours of sign language videos and a set of corresponding modalities including speech, English…
44 papers · 3 benchmarks
AUTSL (Ankara University Turkish Sign Language Dataset)
The Ankara University Turkish Sign Language Dataset (AUTSL) is a large-scale, multimode dataset that contains isolated Turkish sign videos.
32 papers · 1 benchmark
The signing is recorded by a stationary color camera placed in front of the sign language interpreters.
25 papers · 1 benchmark
BOBSL (BBC-Oxford British Sign Language)
BOBSL is a large-scale dataset of British Sign Language (BSL).
18 papers · 1 benchmark
This is the home of a collaborative data collection effort by U.
11 papers · 1 benchmark
This is the home of a collaborative data collection effort by U.
11 papers · 1 benchmark
GSL (Greek Sign Language)
Dataset Description The Greek Sign Language (GSL) is a large-scale RGB+D dataset, suitable for Sign Language Recognition (SLR) and Sign Language Translation (SLT).
11 papers · 1 benchmark
MSASL is a real-life large-scale sign language data set comprising over 25,000 annotated videos.
9 papers · 1 benchmark
BosphorusSign22k is a benchmark dataset for vision-based user-independent isolated Sign Language Recognition (SLR).
8 papers · 0 benchmarks
YouTube-ASL is a large-scale, open-domain corpus of American Sign Language (ASL) videos and accompanying English captions drawn from YouTube.
8 papers · 0 benchmarks
LSA64 (LSA64: A Dataset for Argentinian Sign Language)
The sign database for the Argentinian Sign Language, created with the goal of producing a dictionary for LSA and training an automatic sign recognizer, includes 3200 videos where 10 non-expert subjects executed 5 repetitions of 64…
6 papers · 1 benchmark
Content4All is a collection of six open research datasets aimed at automatic sign language translation research.
3 papers · 0 benchmarks
About Dataset Step right up to our AI data collection company, where we’ve got something special just for you: a unique set of American Sign Language datasets!
2 papers · 0 benchmarks
Rendered Handpose Dataset contains 41258 training and 2728 testing samples.
2 papers · 0 benchmarks
ASLG-PC12 (English-ASL Gloss Parallel Corpus 2012)
An artificial corpus built using grammatical dependencies rules due to the lack of resources for Sign Language.
1 paper · 1 benchmark
ASLLVD (American Sign Language Lexicon Video Dataset)
Extremely important: The ASLLVD video data are subject to Terms of Use: http://www.bu.edu/asllrp/signbank-terms.pdf.
1 paper · 0 benchmarks
AzSLD (AzSLD - Azerbaijani Sign Language Dataset)
The Azerbaijani Sign Language Dataset (AzSLD) is a comprehensive, large dataset designed to facilitate the development and evaluation of machine learning models for the recognition and translation of Azerbaijani Sign Language (AzSL).
1 paper · 0 benchmarks
Bukva (Bukva: Russian Sign Language Alphabet)
We introduce a video dataset Bukva for Russian Dactyl Recognition task.
1 paper · 1 benchmark
A large-scale isolated Indian sign language dataset.
1 paper · 1 benchmark
A multimodal LIBRAS-UFOP Brazilian sign language dataset of minimal pairs using a microsoft Kinect senso.
1 paper · 1 benchmark
Sign Language Datasets for French Belgian Sign Language This dataset is built upon the work of Belgian linguists from the University of Namur.
1 paper · 0 benchmarks
Brazilian Sign Language (Libras) data set with 20 signs for sign language and gesture recognition benchmark: - Acontecer (To happen) - Aluno (Student) - Amarelo (Yellow) - América (America) - Aproveitar (To enjoy) - Bala (Candy) - Banco…
1 paper · 1 benchmark
A Chinese sign language dataset that includes dialogue information.
1 paper · 0 benchmarks
We introduce a large-scale video dataset Slovo for Russian Sign Language task.
1 paper · 1 benchmark
The first and the one open dataset for Russian finger- spelling, contained 1,593 annotated phrases and over 37 thousand HD+ videos.
1 paper · 1 benchmark
The ASL-Phono introduces a novel linguistics-based representation, which describes the signs in the ASLLVD dataset in terms of a set of attributes of the American Sign Language phonology.
0 papers · 0 benchmarks
The ASL-Skeleton3D introduces a representation based on mapping into the three-dimensional space the coordinates of the signers in the ASLLVD dataset.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.