29 datasets found

The MS-ASL dataset is a large-scale isolated American Sign Language dataset containing 25,000 samples from 1000 different signs performed by 200 different signers.

The BosphorusSign22k dataset is a large-scale isolated sign language dataset containing 22,542 samples from 744 different signs performed by 6 different signers.

A comprehensive study on sign language recognition methods.

A large scale multi-modal Turkish Sign Language dataset and baseline methods.

Sign languages are visual languages produced by the movement of the hands, face, and body. In this paper, we evaluate representations based on skeleton poses, as these are...

The FluentSigners-50 dataset is a signer-independent benchmark dataset for sign language processing.

The TheRusLan dataset is a database of Russian Sign Language (RSL) containing 164 gestures, primarily related to the supermarket theme.

The Slovo dataset is a video dataset of Russian Sign Language (RSL) containing 20,000 FullHD videos from 194 signers, divided into 1,000 classes of glosses from the RSL without...

The RWTH-BOSTON-50 corpus was created for the task of isolated sign language recognition. It has been used for isolated sign language recognition experiments.

The RWTH-BOSTON-104 corpus was created for the task of isolated sign language recognition. It has been used for continuous sign language recognition experiments.

Independent Sign Language Recognition is a complex visual recognition problem that combines several challenging tasks of Computer Vision due to the necessity to exploit and fuse...

The Chinese Sign Language (CSL) dataset is a dataset of Chinese sign language videos. It contains 100 Chinese daily expressions, each demonstrated 5 times by 50 presenters.

Sign language recognition is a task to bridge the communication gap between the deaf and the hearing. The authors propose a practical online sign language recognition framework.

Signer-independent dataset for continuous sign language recognition, including PHOENIX-2014-SI and CSL.

Signer-dependent datasets for continuous sign language recognition, including PHOENIX-2014, PHOENIX-2014-T, and CSL-Daily.

CSL-Daily is a Chinese sign language (CSL) dataset that mainly focuses on people’s daily lives. It includes 18401, 1077, and 1176 available examples in the training, validation,...

Unraveling a decade: A comprehensive survey on isolated sign language recognition.

Sign language recognition (SLR) has long been plagued by insufficient model representation capabilities. Al-though current pre-training approaches have alleviated this dilemma...

Continuous sign language recognition (SLR) deals with unaligned video-text pair and uses the word error rate (WER), i.e., edit distance, as the main evaluation metric.

RWTH-PHOENIX-Weather-2014 dataset is a benchmarking dataset for continuous Sign Language Recognition. It is a public television broadcast in Germany, where all signers wear dark...