This application demonstrates real-time object detection using TensorFlow.js and COCO-SSD model. It allows users to detect objects from live camera feed or uploaded images.
- ๐ท Real-time object detection from live camera feed
- ๐๏ธ Detection of various common objects
- ๐จ User-friendly interface
- ๐ก Simple and intuitive design
- React.js
- TensorFlow.js
- COCO-SSD (Common Objects in Context - Single Shot MultiBox Detector)
To run this application locally, follow these steps:
- Clone this repository.
- Navigate to the project directory.
- Install dependencies using
npm install
oryarn install
. - Start the development server with
npm start
oryarn start
. - Open the app in your browser at
http://localhost:3000
.
- Open the application in your web browser.
- Allow access to your camera if prompted.
- Objects in the camera feed will be detected in real-time.
- You can also upload images to detect objects.
- TensorFlow.js: https://www.tensorflow.org/js
- COCO-SSD Model: https://github.com/tensorflow/tfjs-models/tree/master/coco-ssd
This project is licensed under the MIT License - see the LICENSE file for details.