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https://github.com/salamjillani/objectdetection-tensorflowjs
Object detection site using tensorflow.js
https://github.com/salamjillani/objectdetection-tensorflowjs
javascript reactjs tailwindcss tensorflow
Last synced: 3 days ago
JSON representation
Object detection site using tensorflow.js
- Host: GitHub
- URL: https://github.com/salamjillani/objectdetection-tensorflowjs
- Owner: salamjillani
- Created: 2025-01-02T22:52:50.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-01-03T15:47:32.000Z (about 1 month ago)
- Last Synced: 2025-01-25T00:19:30.731Z (21 days ago)
- Topics: javascript, reactjs, tailwindcss, tensorflow
- Language: JavaScript
- Homepage:
- Size: 61.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Object Detection Site using React and TensorFlow.js
This project is an object detection site built using React and TensorFlow.js with the MobileNet model.
## Project Overview
This site utilizes TensorFlow.js to run object detection directly in the browser using the MobileNet model. The site is built with React and Vite, providing a fast and modern development setup.
### Prerequisites
- Node.js
- npm
## Setup Instructions
1. **Clone the repository:**
```bash
git clone https://github.com/codesofsalam/objectdetection-tensorflowjs.git
cd objectdetection-tensorflowjs
```
2. **Install dependencies:**
```bash
npm install
```
3. **Run the development server:**
```bash
npm run dev
```
## Usage Instructions
1. **Open the application:**
Open your browser and navigate to `http://localhost:5173`.
2. **Upload an image:**
Use the provided interface to upload an image for object detection.
3. **View detection results:**
The application will display the detected objects along with their confidence scores.
## Technology Stack
- **React:** A JavaScript library for building user interfaces.
- **TensorFlow.js:** A library for machine learning in JavaScript.
- **Vite:** A fast build tool and development server for modern web projects.
## Contributing
If you would like to contribute to this project, please follow these steps:
1. Fork the repository.
2. Create a new branch: `git checkout -b my-feature-branch`.
3. Make your changes and commit them: `git commit -m 'Add some feature'`.
4. Push to the branch: `git push origin my-feature-branch`.
5. Submit a pull request.