Detection of ships on satellite images using YOLO v2

version 1.0.0 (25.6 MB) by Primoz Potocnik
This example demonstrates how to extract useful information from satellite images using a simple deep learning based ship detector.

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Updated 27 Jan 2022

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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 (2022). 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 .

MATLAB Release Compatibility
Created with R2021b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Acknowledgements

Inspired by: Object Detection Using YOLO v2 Deep-Learning

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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.