Overhead Imagery of Wind Turbines

Overview
This is a set of overhead images of wind turbines with corresponding YOLOv3 formatted labels for object detection. These labels contain the class, x and y coordinates and the height and width of the bounding boxes for each wind turbine in the corresponding image. These images and the labels are contained in original_images_and_labels.
Why
Deep learning can help with the analysis of energy infrastructure. Extending this work to more types of energy infrastructure can create a pipeline for in-depth energy infrastructure analysis that could provide information for energy access decision makers to chose how to provide electricity to a non-electrified region (through grid extension, micro-grids or localized power generation).

MethodThe images in original_images_and_labels were taken from https://figshare.com/articles/Power_Plant_Satellite_Imagery_Dataset/5307364. These images were then hand labeled and converted into formatted labels, which are also contained in original_images_and_labels. This data was then preprocessed into smaller images with dimensions of 608x608 and their corresponding labels with the same YOLOv3 format of class, x, y, height, width. These smaller images are contained in wind_turbine_images and their labels are contained in wind_turbine_labels.