Norwegian Sign Language
Published: 4 August 2023| Version 1 | DOI: 10.17632/3cfrj4vd4m.1
Contributors:
Seifedine Kadry, Description
The dataset used in our research is a self-made NSL fingerspelling dataset containing 24 300 across 27 alphabets. Each alphabet has 600 images taken of a male where ½ of it is with basic white background and the other ½ is of complex background. Each alphabet also has 300 images taken of a female with a basic white background. We want this dataset to be available to the public so further research can be made in the field of NSL recognition.
Files
Institutions
Noroff Oslo
Categories
Image Acquisition, Image Classification, Sign Language