Slovo: Russian Sign Language Dataset

23 May 2023  ·  Alexander Kapitanov, Karina Kvanchiani, Alexander Nagaev, Elizaveta Petrova ·

One of the main challenges of the sign language recognition task is the difficulty of collecting a suitable dataset due to the gap between hard-of-hearing and hearing societies. In addition, the sign language in each country differs significantly, which obliges the creation of new data for each of them. This paper presents the Russian Sign Language (RSL) video dataset Slovo, produced using crowdsourcing platforms. The dataset contains 20,000 FullHD recordings, divided into 1,000 classes of isolated RSL gestures received by 194 signers. We also provide the entire dataset creation pipeline, from data collection to video annotation, with the following demo application. Several neural networks are trained and evaluated on the Slovo to demonstrate its teaching ability. Proposed data and pre-trained models are publicly available.

PDF Abstract


Introduced in the Paper:

Slovo: Russian Sign Language Dataset

Used in the Paper:

Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Sign Language Recognition Slovo: Russian Sign Language Dataset mVITv2-S Mean Accuracy 64.09 # 1


No methods listed for this paper. Add relevant methods here