# Dogs & Cats Breeds Classification
## Introduction
This project aims to classify images of dogs and cats into their respective breeds using machine learning techniques. It is designed to be a helpful tool for pet owners, veterinarians, and animal enthusiasts who wish to identify the breed of a particular dog or cat from an image.
## Features
- Utilizes a pre-trained Convolutional Neural Network (CNN) model for image classification.
- Supports a wide range of dog and cat breeds.
- Easy-to-use interface for uploading and classifying images.
## Requirements
- Python 3.6 or higher
- Dependencies listed in `requirements.txt`
## Installation
To set up the project environment, follow these steps:
```bash
# Clone the repository
git clone https://huggingface.co/Dhrumit1314/Dogs_Cats_Breeds_Classification/tree/main
cd Dogs_Cats_Breeds_Classification
# Install the required packages
pip install -r requirements.txt
Contributing
Contributions to improve the project are welcome. Please follow the standard fork-and-pull request workflow.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Thanks to the creators of the pre-trained CNN models used in this project.
- Appreciation to the Hugging Face community for hosting and supporting the project repository.
This README provides a concise overview of the project, including its purpose, features, installation instructions, usage, and contribution guidelines. It is structured to be clear and informative for users and potential contributors.
- Downloads last month
- 28