Detection of ships on satellite images using YOLO v2

This example demonstrates how to extract useful information from satellite images using a simple deep learning based ship detector.

https://github.com/ppotoc/Detection-of-ships-on-satellite-images-using-YOLO-v2-deep-learning

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Detection of ships on satellite images using YOLO v2 deep learning

This MATLAB example demonstrates how to extract useful information from satellite images using a simple deep learning based ship detector, which can be included in a broad range of situational awareness sensors of maritime autonomous surface ships.

  1. Download MATLAB LiveScript "YOLO_ship_detector.mlx" and data "data.zip"

  2. Download MATLAB Add-On with a pretrained Deep Learning Toolbox Model for ResNet-50 Network https://www.mathworks.com/matlabcentral/fileexchange/64626-deep-learning-toolbox-model-for-resnet-50-network

  3. Unzip "data.zip" containing train and test images, and image labelling session data

  4. Run "YOLO_ship_detector.mlx" (change LiveScript parameter "doTraining" to train the model)

Cite As

Primoz Potocnik (2026). Detection of ships on satellite images using YOLO v2 (https://github.com/ppotoc/Detection-of-ships-on-satellite-images-using-YOLO-v2-deep-learning/releases/tag/v1.0.0), GitHub. Retrieved .

Acknowledgements

Inspired by: Object Detection Using YOLO v2 Deep-Learning

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General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.