8 dataset results for American Sign Language

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 transcripts, and depth. A three-hour subset was further recorded in the Panoptic studio enabling detailed 3D pose estimation.

28 PAPERS • 3 BENCHMARKS

OpenASL

Large-scale American Sign Language (ASL) - English dataset collected from online video sites (e.g., YouTube). OpenASL contains 288 hours of ASL videos in multiple domains from over 200 signers.

9 PAPERS • NO BENCHMARKS YET

YouTube-ASL

YouTube-ASL is a large-scale, open-domain corpus of American Sign Language (ASL) videos and accompanying English captions drawn from YouTube. With ~1000 hours of videos and >2500 unique signers, YouTube-ASL is ~3x as large and has ~10x as many unique signers as the largest prior ASL dataset.

2 PAPERS • NO BENCHMARKS YET

27 Class ASL Sign Language

27 Class ASL Sign Language (27 Class American Sign Language-Based Dataset)

This 27 Class American Sign Language-based dataset consists of photographs collected from 173 individuals asked to display gestures with their hands. Using a camera, these were taken to a 3024 by 3024 pixels frame size within RGB color space. 130 photos were taken from each person, 5 per class (minor changes on sample sizes in classes can be observed) - 26 classes containing phrases, letters, and numbers with a 27th class null category made up of 314 images for control purposes. The main motivation was contributing to technology development use cases that can reduce the communication challenges faced speech-impaired people with new data to meet the diversity and sample size necessary for intelligent computer vision studies and sign language applications.

1 PAPER • NO BENCHMARKS YET

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

ASL-Phono

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 PAPER • NO BENCHMARKS YET

ASL-Skeleton3D

The ASL-Skeleton3D introduces a representation based on mapping into the three-dimensional space the coordinates of the signers in the ASLLVD dataset. This enables a more accurate observation of the body parts and the signs articulation, allowing researchers to better understand the language and explore other approaches to the SLR field.

0 PAPER • NO BENCHMARKS YET

ASLLVD

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. By downloading these video files, you are agreeing to respect these conditions. In particular, NO FURTHER REDISTRIBUTION OF THESE VIDEO FILES is allowed.

0 PAPER • NO BENCHMARKS YET

Datasets

8 dataset results for American Sign Language