Overview / Usage

Sign language is a visual-gestural language used by deaf and hard-hearing people to communicate. Three-dimensional spaces and hand movements (and other body parts) are used to convey meanings. It has its vocabulary and syntax which is purely different from spoken languages/written language. Spoken languages use the oratory faculties to produce sounds mapped against specific words and grammatical combinations to convey meaningful

information. Then the oratory elements are received by the auditory faculties and processed accordingly. Sign language uses the visual faculties which is different from spoken language. Spoken language makes use of rules to produce comprehensive messages; similarly, sign language is also governed by complex grammar. A sign language recognition system consists of an easy, efficient, and accurate mechanism to transform sign language into text or speech. The computerized digital image processing and a wide variety of classification methods used to rec

The original MNIST image dataset of handwritten digits is a popular benchmark for image-based machine learning methods but researchers have renewed efforts to update it and develop drop-in replacements that are more challenging for computer vision and original for real-world applications.

The dataset name is “Sign Language MNIST”, its size is 105 Mb and it is a picture shape of 28 x 28 pixels, It has 1570 columns.