Mobile Motherboard Screw Detection Dataset

In the current industrial landscape, the quality control of manufacturing processes is critical, especially in electronic assembly. One of the major challenges is ensuring the correct installation of screws on mobile motherboards, where missing, incorrect, or stripped screws can lead to significant product failures. Existing solutions often rely on manual inspection, which is time-consuming and prone to human error. This dataset aims to address the need for automated inspection systems by providing a comprehensive collection of labeled images that reflect various screw conditions. The dataset was collected using high-resolution cameras in a controlled factory environment, ensuring consistent lighting and focus. Quality control measures included multi-round annotations, consistency checks among different annotators, and expert reviews to validate the labels. The images are stored in JPG format and organized into structured directories based on categories of screw status.