Wheel Hub Detection Dataset

The Wheel Hub Detection Dataset aims to address the increasing demand for automated quality control in the automotive industry, where the accurate identification of defects is crucial for safety and performance. Current solutions often struggle with high false-positive rates and lack sufficient data diversity to train robust models. This dataset is designed to solve the problem of effective defect detection by providing a large number of labeled images under various conditions. The data is collected using high-resolution cameras in controlled lighting environments, ensuring high quality. Quality control measures include multi-round annotations, consistency checks among annotators, and expert reviews to ensure accuracy. The dataset is stored in JPEG format, organized by categories of defects and timestamps for easy access.