USB Interface Detection Dataset

In the current industrial landscape, the assembly of interface components faces challenges such as high error rates in manual inspections and the need for consistent quality control. Existing solutions often rely on traditional visual inspection methods that are prone to human error and inefficiencies. This dataset aims to address the technical challenge of accurately detecting the assembly positions of USB interfaces to enhance automated inspection systems. The dataset comprises images captured in controlled environments using high-resolution cameras, ensuring clarity and detail. Quality control measures include multi-round annotations by trained personnel, consistency checks, and expert reviews to maintain high accuracy. The images are stored in JPG format, organized by their respective categories and annotations.