{"id":28949333,"url":"https://github.com/assem-elqersh/object-detection-app","last_synced_at":"2026-04-29T14:02:45.346Z","repository":{"id":289152259,"uuid":"970210934","full_name":"Assem-ElQersh/Object-Detection-App","owner":"Assem-ElQersh","description":"Object Detection App is a web-based application that uses TensorFlow.js and pre-trained models to detect objects in images and video streams. 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Static files\n│   ├── index.html               # HTML entry point\n│   ├── favicon.ico              # App favicon\n│   └── models/                  # Pre-trained model files (git-ignored)\n│\n├── src/                         # Source code\n│   ├── components/              # React components\n│   │   ├── App.js               # Main App component\n│   │   ├── DetectionView.js     # Detection visualization component\n│   │   ├── ImageUploader.js     # Image upload component\n│   │   ├── ModelSelector.js     # Model selection component\n│   │   ├── WebcamCapture.js     # Webcam component\n│   │   └── ResultsPanel.js      # Detection results display component\n│   │\n│   ├── services/                # Helper services\n│   │   ├── detectionService.js  # Object detection logic\n│   │   ├── modelLoader.js       # Model loading utilities\n│   │   └── drawingUtils.js      # Canvas drawing utilities\n│   │\n│   ├── utils/                   # Utility functions\n│   │   └── constants.js         # App constants and configs\n│   │\n│   ├── index.js                 # JS entry point\n│   └── styles.css               # Global styles\n│\n├── docs/                        # Documentation\n│   ├── demo-screenshot.png      # Demo screenshot\n│   └── model-info.md            # Model information docs\n│\n├── .gitignore                   # Git ignore file\n├── tailwind.config.js           # Tailwind CSS configuration\n├── package.json                 # Project dependencies\n├── package-lock.json            # Dependency lock file (generated automatically)\n├── README.md                    # This readme file\n└── LICENSE                      # Project license\n```\n\n## Getting Started\n\n### Prerequisites\n\n- Node.js (v14 or later)\n- npm (v6 or later)\n\n### Installation\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/Assem-ElQersh/Object-Detection-App.git\n   cd Object-Detection-App\n   ```\n\n2. Install dependencies:\n   ```bash\n   npm install\n   ```\n\n3. Start the development server:\n   ```bash\n   npm start\n   ```\n\n4. Open [http://localhost:3000](http://localhost:3000) in your browser.\n\n## Available Models\n\nThe application currently supports the following pre-trained models:\n\n- **COCO-SSD**: A fast object detection model that can detect 80 different object categories.\n- **YOLO (You Only Look Once)**: A more accurate but more resource-intensive model.\n\n## Usage\n\n1. **Upload an Image**\n   - Click the \"Upload\" button to select an image from your device\n   - The model will automatically detect objects in the uploaded image\n\n2. **Use Webcam**\n   - Click the \"Enable Webcam\" button to start your device's camera\n   - Objects will be detected in real-time from the video stream\n   - Click \"Disable Webcam\" to stop the camera\n\n3. **Change Model**\n   - Select a different model from the dropdown menu\n   - The application will load the new model and use it for detection\n\n## Future Enhancements\n\n- Add support for custom models\n- Implement object tracking across video frames\n- Add performance metrics and model comparison tools\n- Support for mobile device cameras and orientation\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit your changes (`git commit -m 'Add some amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing-feature`)\n5. Open a Pull Request\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](https://github.com/Assem-ElQersh/Object-Detection-App/blob/main/LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fassem-elqersh%2Fobject-detection-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fassem-elqersh%2Fobject-detection-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fassem-elqersh%2Fobject-detection-app/lists"}