Cat vs Dog Image Classification

Project Overview

This project is a binary image classification task where the model predicts whether a given image is of a cat or a dog. It uses a Convolutional Neural Network (CNN) built with TensorFlow/Keras to automatically learn visual features from the dataset.

Features

Input: Cat/Dog images

Output: Prediction → Cat or Dog

Deep Learning approach using CNN

Visualization

Tech Stack

Python

NumPy → Numerical computations

Pandas → Data handling

Matplotlib → Plotting and visualization

TensorFlow / Keras → Building and training CNN