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Context Sign languages (also known as signed languages) are languages that use manual communication to convey meaning. This can include simultaneously employing hand gestures, movement, orientation of the fingers, arms or body, and facial expressions to convey a speaker's ideas. Source: https://en.wikipedia.org/wiki/Sign_language

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ArthDh/Sign-Language-Digits-Dataset-Kaggle

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Sign-Language-Digits-Dataset-Kaggle

Context Sign languages (also known as signed languages) are languages that use manual communication to convey meaning. This can include simultaneously employing hand gestures, movement, orientation of the fingers, arms or body, and facial expressions to convey a speaker's ideas. Source: https://en.wikipedia.org/wiki/Sign_language

Method

Using https://keras.io/ library to model a CNN for digit recognition.

Details of datasets in GitHub Repo:

Repo: github.com/ardamavi/Sign-Language-Digits-Dataset

Image size: 100x100 Color space: RGB

TODO:

  • Improve dataset by adding background variation
  • [] Upload model to webpage(tensorflow.js)
  • [] Map outputs to visual feedback

Acknowledgements:

Sign Language Digits Dataset Dataset GitHub Page: github.com/ardamavi/Sign-Language-Digits-Dataset By Turkey Ankara Ayrancı Anadolu High School Students Turkey Ankara Ayrancı Anadolu High School's Sign Language Digits Dataset This dataset prepared by our school students.

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Context Sign languages (also known as signed languages) are languages that use manual communication to convey meaning. This can include simultaneously employing hand gestures, movement, orientation of the fingers, arms or body, and facial expressions to convey a speaker's ideas. Source: https://en.wikipedia.org/wiki/Sign_language

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