PCB-MC: Missing Component Analysis in Printed Circuit Boards
Published in European Workshop on Visual Information Processing (EUVIP) 2026, Luxembourg, 2026
We introduce PCB-MC, a benchmark dataset designed to support research in missing component detection on printed circuit boards (PCBs). This dataset enables standardized evaluation of computer vision and deep learning methods for industrial quality inspection, addressing the lack of publicly available, annotated PCB inspection datasets.
Status: Accepted at the European Workshop on Visual Information Processing (EUVIP) 2026 — to be presented in Luxembourg.
Recommended citation: B. Villa et al. (2026). "PCB-MC: Missing Component Analysis in Printed Circuit Boards." European Workshop on Visual Information Processing (EUVIP).