Welcome to the Project-Leonardo! This tool helps users find similar art pieces based on input parameters and art type by analyzing and comparing the input art image with images in a restricted version of the OmniArt Dataset. Whether you're an artist seeking inspiration or simply curious about art, this project provides an easy way to discover similar artwork.
This project utilizes image processing and statistical techniques to match input artwork with similar pieces based on various parameters such as:
- Art type
- Color palette
- Composition
The system extracts key features and provides a list of similar art pieces from a pre-existing database by uploading an image.
- Art Style Recognition: Detect and match art styles
- Similarity Search: Find similar artworks based on input parameters and types.
- Intuitive Interface: Easy to use interface for uploading and displaying results.
- Customizable Parameters: Users can adjust parameters such as style preference.
- Scalable Database: Capable of searching through a large number of art pieces.
You can access the Project-Leonardo in your browser.
Here is the usage process of the App:
- Upload an art image: Select an image or input the image URL to the Image Loader section and choose an image file in JPG, PNG, or JPEG formats.
- Adjust parameters (optional): Select any preferences you want to adjust, such as art type or color/composition.
- Get results: The system will analyze the image and provide a list of similar artworks.
- Explore results: Browse through the similar art pieces, view their details, and discover new artworks.
This project is licensed under the MIT License - see the LICENSE file for details.