Engine Cylinder Body Detection Dataset

The engine cylinder body inspection industry currently faces challenges including the need for high precision and consistency in defect detection, particularly in complex geometries. Existing solutions often rely on manual inspection, which is time-consuming and prone to human error. This dataset aims to address the technical challenge of automating defect detection through extensive image data capturing various angles of cylinder bodies. The data was collected using high-resolution cameras in controlled factory environments, ensuring clarity and detail. Quality control measures included multi-round annotations, consistency checks among annotators, and expert reviews to ensure data reliability. The dataset is organized in JPG format, with images stored in a structured folder system categorized by defect types.