Image-to-Image Search

The Image-to-Image Search project allows users to search for images based on input images instead of keywords. It leverages deep learning models to find similar images from a dataset by analyzing visual features.

Table of Contents

1. Features
2. Installation
3. Usage
4. Configuration
5. Contributing
6. License

Features

• Perform image-based searches by uploading an image.
• Retrieve similar images from a pre-defined dataset.
• Uses deep learning models for visual similarity detection.
• Easy to integrate into web or mobile applications.

Installation

Follow these steps to install and set up the project locally.

# Clone the repository
git clone https://github.com/gpbot-org/image-to-image-search.git

# Navigate to the project directory
cd image-to-image-search

# Install dependencies
pip install -r requirements.txt

Usage

After installation, you can run the application locally to test image-to-image search functionality.

# Start the application (e.g., Flask )
python main.py

To search for similar images:

1. Upload an image.
2. The app will return a list of visually similar images from the dataset.

Configuration

If your project requires additional configuration, for instance, to change the image dataset or model:

# Example configuration 
DATASET_PATH=images/ all image data here

Contributing

Contributions are welcome! Here's how you can get involved:

1. Fork the repository
2. Create a feature branch: git checkout -b feature/your-feature
3. Commit your changes: git commit -m 'Add some feature'
4. Push to the branch: git push origin feature/your-feature
5. Open a pull request

Please ensure your pull request includes relevant tests and is well-documented.

License

This project is licensed under the MIT License. See the LICENSE file for more details.