Automatically tag images based on their content.
Project description
Imagenius
Overview
Imagenius is a web-based application designed to automatically tag images based on their content. Built on advanced machine learning models, Imagenius provides fast, accurate, and comprehensive tagging solutions for your photo galleries.
Features
- Web-based GUI: Intuitive drag-and-drop interface for easy image uploads.
- Advanced Object Detection: Utilizes state-of-the-art machine learning models for accurate tagging.
- Modular Backend: Python-based backend, easily extendable for future models and features.
Quick Start
Setup
Clone the repository and navigate into the folder. Then install the dependencies.
git clone https://github.com/0xchrisw/imagenius.git
pip install -e .
imagenius
Usage
- Open your web browser and go to
http://localhost:3000. - Drag and drop an image onto the upload area or select an image via the file picker.
- View the automatically generated tags for the image.
Contributions
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Project details
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