https://github.com/subhan-liaqat/cnn-based-image-classification-for-dogs-and-cats

https://github.com/subhan-liaqat/cnn-based-image-classification-for-dogs-and-cats

cnn image-processing keras opencv scikit-learn tensorflow

Last synced: 4 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/subhan-liaqat/cnn-based-image-classification-for-dogs-and-cats
• Owner: subhan-liaqat
• License: mit
• Created: 2024-11-02T11:43:52.000Z (15 days ago)
• Default Branch: main
• Last Pushed: 2024-11-11T11:41:34.000Z (6 days ago)
• Last Synced: 2024-11-11T12:32:34.640Z (6 days ago)
• Topics: cnn, image-processing, keras, opencv, scikit-learn, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 281 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# CNN-Based Image Classification for Dogs and Cats

## Overview

This project implements a Convolutional Neural Network (CNN) to classify images of dogs and cats. The model leverages deep learning techniques to achieve high accuracy in distinguishing between these two popular pet categories.

## Project Workflow



## Features

- **Image Classification**: Utilizes CNN architecture to effectively classify images into dog or cat categories.

- **Data Augmentation**: Enhances training datasets through data augmentation techniques, improving model performance and robustness.

- **Visualization**: Provides visual insights into model predictions and training processes using Matplotlib.

## Technologies Used

- Python

- TensorFlow

- Keras

- NumPy

- Matplotlib

- Pillow

## Installation

To run this project, you need to install the required libraries. You can do this by executing the following command:

```bash

pip install -r requirements.txt