swati1504 / dogs-vs-cats-prediction Goto Github PK

The project intends to create a classifier to predict if an image represents a Dog or a Cat.

The classification is as Dogs - 1 and Cats - 0

The dataset of the CLASSIFICATION OF DOGS VS CATS has been retrieved from Kaggle, I have placed a link below to it

https://www.kaggle.com/competitions/dogs-vs-cats/data

Languages and libraries used

• Python 3.6
• Keras
• Tensorflow
• Numpy
• LiveLossPlot

Used ImageDataGenerator to randomly rotate the images through any degree between 0 and 360 degree.

Implemented the Conv2D, Sequential, MaxPooling2D, Dense, Dropout, Flatten layers for the deep learning model.

The accuracy is measured to be 99% based on Precision and Recall