This project demonstrates image recognition capabilities using TensorFlow.js, built within a ReactJS framework. It showcases how to integrate machine learning models directly into a web application for real-time image processing and classification.
- Real-Time Image Recognition: Utilize TensorFlow.js to perform image recognition in the browser.
- React Integration: Seamlessly incorporate TensorFlow.js within a ReactJS application.
- User-Friendly Interface: Simple and intuitive UI for uploading and classifying images.
- TensorFlow.js: JavaScript library for training and deploying machine learning models in the browser.
- ReactJS: JavaScript library for building user interfaces.
- Node.js
- npm (Node Package Manager)
- Clone the repository:
git clone https://github.com/yourusername/image-recognition-tensorflowjs.git
- Navigate to the project directory:
cd image-recognition-tensorflowjs - Install the dependencies:
npm install
- Start the development server:
npm run dev
- Open your browser and go to
http://localhost:5173to see the application in action.
- Upload an image using the provided interface.
- The application will process the image and display the recognition results.
Contributions are welcome! Please feel free to submit a pull request or open an issue to discuss improvements or fixes.
This project is licensed under the MIT License. See the LICENSE file for details.