Universal Joint Component Detection Dataset

The Universal Joint Component Detection Dataset is designed to address the challenges faced in the automotive and mechanical transmission quality inspection industry. Currently, industries are experiencing difficulties in ensuring the quality and reliability of components, leading to increased failure rates and safety concerns. Existing solutions often lack adequate defect detection accuracy and fail to adapt to various inspection conditions. This dataset aims to enhance defect detection capabilities using advanced image processing techniques. The dataset comprises images captured using high-resolution cameras in controlled environments, ensuring optimal lighting and focus. Quality control measures include multiple rounds of annotations, consistency checks, and expert reviews to maintain high annotation accuracy. The dataset is structured in JPG format, organized with each image corresponding to its metadata, including defect labels and quality scores.