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ASL Classification (Capstone Project MLND)

Its Classification project on ASL images using transfer knowledge.

Dependencies

The following packages are needed to run this project:

  • keras
  • tensorflow
  • scikit-learn
  • cv2
  • numpy

Dataset

ASL Dataset

The data set is a collection of images of alphabets from the American Sign Language, separated in 29 folders which represent the various classes.

Setup

The dataset need to downloaded a store in folder named as "Dataset". Folder structure should be as follows

Dataset\asl_alphabet_train\asl_alphabet_train -[contins the folders with all the test images of diffrent alphabets.]
Dataset\asl_alphabet_test\asl_alphabet_test - [contains the test images]

Code

The final code is in "Final Code" folder.

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Capestone Project MNLD

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