Detection of ships on satellite images using YOLO v2
Updated 27 Jan 2022
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.
Download MATLAB LiveScript "YOLO_ship_detector.mlx" and data "data.zip"
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
Unzip "data.zip" containing train and test images, and image labelling session data
Run "YOLO_ship_detector.mlx" (change LiveScript parameter "doTraining" to train the model)
Primoz Potocnik (2023). 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
Platform CompatibilityWindows macOS Linux
Inspired by: Object Detection Using YOLO v2 Deep-Learning
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