Polymeric Insulator Surface Defect Dataset for Computer Vision Applications

This dataset comprises a collection of images showcasing polymeric insulators with and without surface defects. The primary objective of its development is to benchmark computer vision algorithms, specifically YOLOv8, to determine their efficacy and limitations in defect recognition tasks.