Pickle1432

✈️ Military-Aircraft-Detection - Real-time Insights for Tactical Operations

🌐 Overview

Military-Aircraft-Detection is a user-friendly dashboard designed for detecting military aircraft using advanced deep learning methods. Built with Streamlit, this application provides real-time video inference and a clear heads-up display (HUD) simulation. It also features comprehensive analytics on model performance. Whether in the field or at home, you can gain real-time insights into defense technology.

🔗 Download Now!

🚀 Getting Started

To start using the Military-Aircraft-Detection application, follow these simple steps to download and run the software:

📦 Download & Install

1. Visit the Releases Page
   Go to our Releases page to find the latest version of the application.

2. Choose the Correct Version
   Look for the most recent release. You will see options for different files. Select the one that fits your system.

3. Download the Application
   Click on the link to download the file. The file will typically be provided in a .zip or .exe format.

4. Extract Files (if necessary)
   If you downloaded a .zip file, right-click the file and choose “Extract All” to unzip it. This will create a new folder containing the application files.

5. Run the Application
   Open the folder and double-click the application file. This will start the Military-Aircraft-Detection dashboard.

🔍 System Requirements

To run the Military-Aircraft-Detection application smoothly, ensure that your system meets the following requirements:

• Operating System: Windows 10 or higher, macOS, or a recent Linux distribution.
• RAM: At least 8 GB of RAM recommended.
• Processor: Intel Core i5 or equivalent.
• Graphics: A dedicated graphics card is ideal for real-time video processing.
• Python: Ensure you have Python 3.6 or higher installed.

🎨 Application Features

• Real-time Video Inference: Get immediate feedback on detected aircraft as the video plays.
• Heads-Up Display (HUD): View analytics and aircraft status in a user-friendly interface.
• Model Performance Analytics: Access data on the model’s accuracy and detection capabilities.
• Deep Learning Frameworks: Utilize CNN, MobileNetV2, and EfficientNetB0 for optimal detection performance.

📖 Usage Guidelines

Once you’ve launched the application, you’ll find a straightforward interface:

1. Upload Video: Click the “Upload” button to select a video file for analysis.
2. Start Detection: Press the “Start” button to begin the detection process.
3. View Results: Watch as the application analyzes the video and highlights detected aircraft.
4. Access Analytics: Explore model performance metrics displayed on the HUD.

🤖 Technology Stack

Military-Aircraft-Detection is built using:

• Streamlit: For a smooth web application interface.
• TensorFlow: For implementing deep learning models.
• Keras: To simplify the building of neural networks.
• OpenCV: For image and video processing.

📢 Get Involved

We welcome contributions from anyone interested in military technology and aircraft detection. If you’d like to help improve this application:

• Fork the repository.
• Create a new branch for your features or fixes.
• Submit a pull request with a description of your changes.

📄 License

Military-Aircraft-Detection is licensed under the MIT License. You can use, modify, and distribute this software freely while respecting the terms of the license.

🎉 Contact Us

If you have questions or need support:

• Open an issue on our GitHub repository.
• Email us at support@military-aircraft-detection.com.

🛠️ Important Links

• Download Military Aircraft Detection
• Documentation

Explore the endless possibilities of detecting military aircraft effectively with our solution. Thank you for choosing Military-Aircraft-Detection!