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.
-
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)
Citar como
Primoz Potocnik (2025). 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. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxEtiquetas
Agradecimientos
Inspirado por: Object Detection Using YOLO v2 Deep-Learning
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.
Versión | Publicado | Notas de la versión | |
---|---|---|---|
1.0.0 |