Engine Cylinder Head Detection Dataset

The Engine Cylinder Head Detection Dataset is created in response to the current challenges in the automotive industry, particularly regarding the quality of engine assembly. Many manufacturers face issues with incorrect installation and missing components, leading to increased warranty claims and operational downtimes. Existing solutions often lack comprehensive datasets that allow for robust training of machine learning models, resulting in suboptimal performance in real-world applications. This dataset aims to address these challenges by providing high-quality labeled images that enable the detection of installation statuses and missing parts. The data was collected using high-resolution cameras in a controlled manufacturing environment, ensuring consistent lighting and angles. Quality control measures included multi-round annotations, consistency checks among annotators, and expert reviews to maintain high accuracy. The dataset is organized in JPG format, with images structured in folders categorized by their respective statuses. The dataset is designed to provide a reliable resource for training advanced models in the field of industrial inspection.