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

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Dec 2024Embargo end date: 30 Dec 2024 English Publisher:ZenodoFunded by:EC | BOULDERING

Authors: PRIEUR, Nils Charles;

doi: 10.5281/zenodo.14579518 , 10.5281/zenodo.14579517

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

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Abstract

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).

Related Organizations

University of Oslo
Norway
Stanford University
United States

Keywords

boulders, automatic detection of boulders, YOLOv8, deep learning, Mars, Moon

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NEANIAS Space Research Community