YOLO Annotated Wind Turbine Surface Damage

Published: 14 September 2021| Version 1 | DOI: 10.17632/t6fwpc735s.1
Contributor:
Ashley Foster

Description

A dataset of wind turbine surface damage composed of images from Shihavuddin & Chen's (2018) dataset split into 586x371 pixel images with YOLO format annotations for Dirt and Damage. SHIHAVUDDIN, ASM; Chen, Xiao (2018), “DTU - Drone inspection images of wind turbine”, Mendeley Data, V2, doi: 10.17632/hd96prn3nc.2

Files

Steps to reproduce

Shihavuddin & Chen's (2018) dataset was split into images 586x371 pixel in size, those images without wind turbine surface were removed, the data was then labelled with Makesense.ai online annotation tool directly into the YOLO format. SHIHAVUDDIN, ASM; Chen, Xiao (2018), “DTU - Drone inspection images of wind turbine”, Mendeley Data, V2, doi: 10.17632/hd96prn3nc.2