🚀 Hermes---AI - A Smart Solution for Flood Damage Analysis

🌟 Overview

Hermes AI is a modular deep learning framework designed for post-disaster flood damage and debris segmentation. It combines multiple data sources, such as satellite images and drone footage, to help recovery operations managed by FEMA. With Hermes AI, you can analyze and understand flood damage efficiently, supporting critical recovery efforts.

⚙️ Features

• Modular Design: Easily adapt the framework to your specific needs.
• Deep Learning Support: Utilize powerful models like DeepLabV3 and ResNet-50 for accurate segmentation.
• Multi-Source Analysis: Process data from FloodNet, RescueNet, and SpaceNet-8.
• User-Friendly: Designed with the average computer user in mind.

📊 Topics

• colab-notebook
• computer-vision
• deeplabv3
• drone-plugin
• excel
• gis
• machine-learning
• python3
• resnet-50
• uav-images

🚀 Getting Started

To begin using Hermes AI, follow these steps:

1. Prepare Your System: Ensure your computer meets the following requirements:

   • Operating System: Windows, macOS, or Linux
   • Minimum RAM: 8 GB
   • Recommended: 16 GB or more for optimal performance
   • Disk Space: At least 5 GB available for installation

2. Install Python: Download and install Python 3 from the official Python website. Make sure to add Python to your system PATH during installation.

3. Visit the Releases Page: Go to the Releases page to download the latest version of Hermes AI. Click here to download.

📥 Download & Install

Once you are on the Releases page, look for the latest version of Hermes AI, and follow these steps to download:

1. Select the appropriate version for your operating system.
2. Click the download link for that version.
3. Follow the download instructions for your specific file type.

After the download completes, install the software by running the downloaded file.

🔧 Basic Usage

1. Launch Hermes AI: Open the application after installation.
2. Load Your Data: Upload your flood and damage data via the user interface.
3. Select Model: Choose the appropriate deep learning model for analysis (DeepLabV3, ResNet-50).
4. Run Analysis: Click the 'Analyze' button to start the segmentation process.
5. View Results: Analyze the output visualization for detailed insights.

📁 Important Files

• Sample Data: Sample datasets are included within the application for you to explore.
• User Guide: Comprehensive documentation is available inside the software, providing step-by-step instructions.

🛠️ Troubleshooting

If you encounter issues while installing or using Hermes AI, consider the following solutions:

• Installation Problems: Ensure that Python is installed correctly and added to your PATH.
• Performance Issues: Check whether your system meets the RAM and Disk Space requirements.
• Model Accuracy: Adjust the parameters and try different models for improved results.

📞 Support

For additional help, check:

• FAQs: Visit the FAQ section on our GitHub page for common questions.
• Issues Section: Report any issues you find on the Issues page.

📈 Conclusion

Hermes AI provides a reliable framework for analyzing flood damage. With easy installation and intuitive usage, it empowers users to contribute to critical recovery efforts, ensuring no detail is overlooked.

For a seamless experience, please return to the Releases page to keep your software up to date. Happy analyzing!