Published December 30, 2024 | Version 1
Software Open

Automatic detection of boulders on planetary surfaces with the help of the YOLOv8 model architecture

  • 1. ROR icon Stanford University
  • 2. ROR icon University of Oslo

Description

YOLOv8-BeyondEarth is a repository that contains tools and scripts to create YOLOv8 custom datasets, train the model, and post-process the obtained results. There is a strong focus on the use of satellite imagery and the application of the YOLOv8 model on solid planetary bodies for the automatic detection of boulders.

(see https://github.com/astroNils/YOLOv8-BeyondEarth and https://cordis.europa.eu/project/id/101030364 for more information). 

Do not hesitate to contact me if you want to have more information (prieur.nils@gmail.com). 

Files

YOLOv8-BeyondEarth-main.zip

Files (42.4 kB)

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Additional details

Funding

European Commission
BOULDERING - A Deep Learning approach for boulder detection –The key to understand planetary surfaces evolution and their crater statistics-based ages 101030364

Dates

Available
2024-12-30

Software

Programming language
Python, Jupyter Notebook