This is a React project for an image object detection application built using Hugging Face's machine learning library for JavaScript.
The Image-Object-Detector is a web application that uses machine learning to identify and label objects within images. It leverages the power of Hugging Face's machine learning models for object detection, all within a fast, modern web interface built with Vite and React.
- Upload an image and detect objects within it
- Uses Hugging Face's machine learning models for accurate object detection
- Built with Vite and React for a fast, modern web experience
- Clone this repository:
git clone https://github.com/yourusername/Image-Object-Detector.git
- Install the dependencies:
npm install
- Start the development server:
npm run dev
Once the development server is running, open your web browser and navigate to http://localhost:5000 (or whatever port you have configured). From there, you can upload an image, and the application will process the image and display labels for detected objects.
Contributions are welcome! Please read the contributing guidelines before getting started.
This project is licensed under the terms of the MIT license. See the LICENSE file for details.