24 datasets found

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...

NMFs-CSL is a challenging Chinese sign language (CSL) dataset involving many fine-grained non-manual features (NMFs). It consists of 25,608 and 6,402 samples in the training and...

WLASL is the latest ASL dataset with a larger vocabulary size of 2,000. It consists of 14,289, 3,916, and 2,878 samples in the training, dev, and test set, respectively.

MSASL is an American sign language (ASL) dataset with a vocabulary size of 1,000. It consists of 16,054, 5,287, and 4,172 samples in the training, development (dev), and test...

Sign languages are visual languages which convey information by signers’ handshape, facial expression, body movement, and so forth. Due to the inherent restriction of...

RWTH-PHOENIX-Weather-2014 (PHOENIX14)