Detection of ships on satellite images using YOLO v2

This example demonstrates how to extract useful information from satellite images using a simple deep learning based ship detector.
207 Downloads
Aktualisiert 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.

  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)

Zitieren als

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. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2021b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Tags Tags hinzufügen
Quellenangaben

Inspiriert von: 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!
Version Veröffentlicht Versionshinweise
1.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.