PCB DSLR DATASET

The PCB DSLR dataset is meant to facilitate research on computer-vision-based Printed Circuit Board (PCB) analysis, with a focus on recycling-related applications. The dataset contains 748 images of PCBs from a recycling facility, captured under representative conditions using a professional DSLR camera. All images come with accurate PCB segmentation information as well as bounding box information for all Integrated Circuit (IC) chips (9313 samples). Statistics Please refer to [1] for detailed statistics. Camera: Nikon D4 with f/2.8 lens and polarization filter Image resolution: 4928×3280 (about 220 ppi) 165 different PCBs, 3 to 5 images per PCB, 748 images in total 2048 unique labeled ICs, 9313 labeled ICs in total 1740 ICs with label information in total Download The dataset is split into 8 parts. APIs for convenient use from Matlab, Python2, and C++ are available on github. The dataset is freely available for non-commercial research use. Please cite [1] when using the dataset. References [1] C. Pramerdorfer and M. Kampel, “A dataset for computer-vision-based PCB analysis,” 14th IAPR International Conference on Machine Vision Applications (MVA), Tokyo, 2015, pp. 378-381, doi: 10.1109/MVA.2015.7153209. 2015.PCB数码单反相机数据集（PCB DSLR dataset）旨在推动基于计算机视觉的印刷电路板（Printed Circuit Board，PCB）分析研究，重点聚焦于回收相关的应用场景。本数据集包含来自回收工厂的748张印刷电路板图像，采用专业数码单反相机在典型拍摄条件下采集完成。所有图像均附带准确的印刷电路板分割标注信息，以及所有集成电路（Integrated Circuit，IC）芯片的边界框标注信息，共计9313个标注样本。 统计信息 详细统计内容请参阅参考文献[1]。 相机配置：尼康D4相机，搭配f/2.8镜头与偏振滤镜。 图像分辨率：4928×3280（约220 ppi） 本次数据集涵盖165款不同的印刷电路板，每款电路板对应3至5张图像，总计748张图像；包含2048个唯一标注的集成电路芯片，总标注集成电路芯片数量达9313个；共计1740个带有标注信息的集成电路芯片。 数据集下载 该数据集被划分为8个数据子集。适配Matlab、Python2及C++语言的便捷调用API已在GitHub平台开源。本数据集仅对非商业性研究用途免费开放。使用本数据集时，请务必引用参考文献[1]。 参考文献 [1] C. Pramerdorfer与M. Kampel，《面向计算机视觉的印刷电路板分析数据集》，第14届IAPR国际机器视觉应用会议（MVA），东京，2015年，第378-381页，DOI: 10.1109/MVA.2015.7153209，2015年。