YOLO Annotated Wind Turbine Surface Damage
Published: 14 September 2021| Version 1 | DOI: 10.17632/t6fwpc735s.1
Contributor:
Ashley FosterDescription
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
Categories
Wind Turbine, Object Detection, Surface Damage, Renewable Energy