High-Frequency Connector Detection Dataset

In the current industrial landscape, the rapid integration of 5G technology poses significant challenges in quality control, specifically in high-frequency connector testing. Existing solutions often lack accuracy and efficiency, leading to increased production costs and time delays. This dataset aims to address these technical challenges by providing a comprehensive collection of images from high-frequency connector inspections, facilitating the development of advanced quality assessment algorithms. The data is collected using high-resolution cameras in a controlled environment, ensuring consistent lighting and background. Rigorous quality control measures, including multi-round annotations and expert reviews, are implemented to maintain high standards of data integrity. The dataset is stored in JPG format, organized by categories based on inspection results.