PCB-METAL: A PCB Image Dataset for Advanced Computer Vision Machine Learning Component Analysis

摘要

We introduce PCB-METAL, a printed circuit board (PCB) high resolution image dataset that can be utilized for computer vision and machine learning based component analysis. The dataset consists of 984 high resolution images of 123 unique PCBs with bounding box annotations for ICs(5844), Capacitors(3175), Re-sistors(2670), and Inductors(542). The dataset is useful for image-based PCB analysis such as component detection, PCB classification, circuit design extraction, etc. We also provide baseline evaluations for IC detection and localization on state-of-the-art deep learning object detection algorithms.