Detection of ships on satellite images using YOLO v2
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.
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Download MATLAB LiveScript "YOLO_ship_detector.mlx" and data "data.zip"
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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
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Unzip "data.zip" containing train and test images, and image labelling session data
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Run "YOLO_ship_detector.mlx" (change LiveScript parameter "doTraining" to train the model)
Citation pour cette source
Primoz Potocnik (2024). 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. Récupéré le .
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Inspiré par : Object Detection Using YOLO v2 Deep-Learning
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Version | Publié le | Notes de version | |
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1.0.0 |