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.

Link to the dataset : https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_5340.zip
The Dataset consists of 12500 images of Cat and 12500 images of Dog.

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.