| --- |
| license: mit |
| --- |
| ```markdown |
| # 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. |
