Skip to content

Classification of signs of American Sign Language using Tensorflow

License

Notifications You must be signed in to change notification settings

mrityunjay-tripathi/asl-classification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

American Sign Language Classification

[Wikipedia] American Sign Language (ASL) is a natural language that serves as the predominant sign language of Deaf communities in the United States and most of Anglophone Canada. Besides North America, dialects of ASL and ASL-based creoles are used in many countries around the world, including much of West Africa and parts of Southeast Asia. ASL is also widely learned as a second language, serving as a lingua franca.

Data

To Download the ASL dataset -

Getting Started

We will be using Python and Tensorflow to build model to classify signs ASL. The tensorflow graph of the architecture can be shown as:

CNN Architecture

  • Input
  • Convolution layer: 4x4 kernel , 8 filters
  • Maxpooling: pool size – 8x8
  • Convolution layer: 2x2 kernel , 16 filters
  • Maxpooling: pool size – 4x4
  • Flatten
  • Fully Connected

Authors

  • Mrityunjay Tripathi

License

This project is licensed under the Apache 2.0 License - see the License file for details.

About

Classification of signs of American Sign Language using Tensorflow

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages