Object Detection Web App

Welcome to the Object Detection Web App! This project utilizes deep learning models to detect objects in images and videos, providing a user-friendly interface for real-time detection.

🚀 Features

• Web-based object detection
• Supports multiple object categories
• User-friendly interface
• Live camera and image upload support
• Fast and efficient inference

📌 Live Demo

🔗 Try Object Detection Now

🛠️ Dependencies

Ensure you have the following dependencies installed to run the project locally:

pip install streamlit opencv-python numpy torch torchvision requests

Frontend

• Streamlit (Python-based UI framework)
• HTML, CSS, JavaScript (for additional customization)

Backend

• Streamlit (for hosting and UI rendering)
• OpenCV for image processing
• PyTorch and Torchvision for model inference

⚙️ Setup Instructions

1. Clone the repository:

   git clone https://github.com/DIVY-GUPTA/Object-Detection.git
   cd Object-Detection

2. Install dependencies:

   pip install -r requirements.txt

3. Run the Streamlit app:

   streamlit run app.py

4. Open the provided local URL in your browser.

🖼️ Screenshots

🤝 Contributing

Contributions are welcome! Feel free to open issues and submit pull requests.

📜 License

This project is licensed under the MIT License.

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Developed by Divy Gupta 🚀