ultralytics / magellan

Earth observation software powered by Machine Learning (ML). Viewable in Google Maps and WebGL Earth.

Home Page:https://ultralytics.com

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πŸ“œ Introduction

Welcome to the Ultralytics open-source Earth observation repository! This space is dedicated to showcasing software designed by Ultralytics, illustrating the power of Machine Learning (ML) in geospatial analysis and observation. To discover a range of our innovative projects, head over to our website: Ultralytics Projects.

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🌍 Project Description

The Ultralytics Magellan Project is at the forefront of integrating ML with Earth observation. It allows for ML-powered insights derived from geospatial data to be viewed and interacted with on platforms such as Google Maps and WebGL Earth, bringing a new dimension to data visualization and analysis.

πŸ›  Requirements

To harness the capabilities of the Magellan project, the following are required:

  • MATLAB: Version 2018a or newer. Please visit MATLAB Software for installation details.
  • Supporting Utilities: Clone the common functions repository by executing $ git clone https://github.com/ultralytics/functions-matlab. After cloning, incorporate it into your MATLAB environment with >> addpath(genpath('/functions-matlab')).
  • MATLAB Toolboxes: Ensure installation of the Statistics and Machine Learning Toolbox and the Signal Processing Toolbox.

πŸš€ Getting Started

To utilize the Magellan software, various methods are available depending on your specific use case and expertise:

  1. For a general overview of functionalities and navigation:

    % After setting up the MATLAB environment as per the requirements:
    % Add your example code here with comments explaining each step
  2. For advanced configurations and custom runs:

    • Please don't hesitate to reach out for more detailed instructions tailored to your needs.

πŸ–ΌοΈ Visualization Preview:

Magellan Neutron Map

🀝 Contribute

We love your input! Ultralytics open-source efforts would not be possible without help from our community. Please see our Contributing Guide to get started, and fill out our Survey to send us feedback on your experience. Thank you πŸ™ to all our contributors!

Ultralytics open-source contributors

©️ License

Ultralytics offers two licensing options to accommodate diverse use cases:

  • AGPL-3.0 License: This OSI-approved open-source license is ideal for students and enthusiasts, promoting open collaboration and knowledge sharing. See the LICENSE file for more details.
  • Enterprise License: Designed for commercial use, this license permits seamless integration of Ultralytics software and AI models into commercial goods and services, bypassing the open-source requirements of AGPL-3.0. If your scenario involves embedding our solutions into a commercial offering, reach out through Ultralytics Licensing.

πŸ“¬ Contact

For Ultralytics bug reports, feature requests, questions, or discussions, you are welcome to:

  • Visit GitHub Issues for official inquiries.
  • Join our Discord community for an interactive session with us and fellow community members.

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About

Earth observation software powered by Machine Learning (ML). Viewable in Google Maps and WebGL Earth.

https://ultralytics.com

License:GNU Affero General Public License v3.0


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