DsPCBSD+

This dataset categorized PCB surface defects into 9 distinct categories based on factors such as their causes, locations, and morphologies and developed a dataset of PCB surface defect (DsPCBSD+). In DsPCBSD+, a total of 20,276 defects were annotated manually by bounding boxes on the 10,259 images. This openly accessible dataset is aimed accelerating and promoting further researches and advancements in the field of DL-based detection of PCB surface defect.

本数据集依据缺陷成因、发生位置与形貌特征等因素，将印刷电路板（Printed Circuit Board, PCB）表面缺陷划分为9个明确类别，并构建了印刷电路板表面缺陷数据集（DsPCBSD+）。在DsPCBSD+数据集中，研究人员通过边界框对10259张图像中的共计20276处缺陷完成了人工标注。该公开可获取的数据集旨在推动基于深度学习（Deep Learning, DL）的印刷电路板表面缺陷检测领域的相关研究与技术进步。

搜集汇总

背景与挑战

背景概述

DsPCBSD+是一个包含10,259张图像和20,276个标注框的PCB表面缺陷数据集，将缺陷分为9个类别，用于促进基于深度学习的缺陷检测研究。该数据集采用CC BY 4.0许可协议开放访问。