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CAT-DOG-IMAGE-CLASSIFICATION

A Machine learning (Deep Learning) project on Cat v/s Dog image classification using CNN, VGG-16 and VGG-19 in Python.

IMPORTANT NOTE

  • It is advised to run the notebook in Google colab, as colab provides GPU which lessens the training time of the algorithm.
  • Also colab is inbuilt with all of the required python pip packages, thereby saving your time to install these packages on your local system.
  • To run the notebook in your native pc, just change the paths of image folders accordingly.
  • To use the TestImages, upload the test images folders to your drive and give the path accordingly.
  • A brief description of all the 3 algorithms namely CNN, VGG-16 and VGG-19 are available in the presentations uploaded. (Both part 1 and part 2). Explanation on methods to approach the problem, result analysis of all the 3 algorithms are provided in these presentations as well.
  • All the codes are documented for deeper understanding.

NOTE : For any queries/corrections, please feel free to mail : sutharsanraj2001@gmail.com