Detection of ships on satellite images using YOLO v2

版本 1.0.0 (25.6 MB) 作者: 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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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)

引用格式

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. 检索时间: .

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1.0.0

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