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--- |
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license: mit |
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--- |
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```markdown |
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# Dogs & Cats Breeds Classification |
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## Introduction |
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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. |
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## Features |
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- Utilizes a pre-trained Convolutional Neural Network (CNN) model for image classification. |
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- Supports a wide range of dog and cat breeds. |
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- Easy-to-use interface for uploading and classifying images. |
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## Requirements |
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- Python 3.6 or higher |
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- Dependencies listed in `requirements.txt` |
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## Installation |
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To set up the project environment, follow these steps: |
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```bash |
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# Clone the repository |
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git clone https://huggingface.co/Dhrumit1314/Dogs_Cats_Breeds_Classification/tree/main |
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cd Dogs_Cats_Breeds_Classification |
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# Install the required packages |
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pip install -r requirements.txt |
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``` |
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## Contributing |
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Contributions to improve the project are welcome. Please follow the standard fork-and-pull request workflow. |
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## License |
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This project is licensed under the MIT License - see the `LICENSE` file for details. |
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## Acknowledgments |
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- Thanks to the creators of the pre-trained CNN models used in this project. |
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- Appreciation to the Hugging Face community for hosting and supporting the project repository. |
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``` |
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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. |
