PCB Defect Dataset

PCB Defect is a dataset tailored for an object detection task, encompassing 1386 images annotated with 2953 labeled objects across six distinct classes: open_circuit, short, spurious_copper, and other nuanced defects such as missing_hole, mouse_bite, and spur. Specifically curated for Tiny Defect Detection (TDD), the dataset is instrumental for advancing quality control measures in the production of printed circuit boards (PCBs), which is a fundamental and crucial aspect of manufacturing processes in the electronics industry.

PCB缺陷数据集系针对物体检测任务精心打造，包含1386张图片，其中标注了2953个对象，跨越六个不同的类别：开路、短路、虚假铜等，以及其他细微缺陷，如缺失孔、鼠咬和突起。此数据集专为微小缺陷检测（TDD）而精心挑选，对于提升印刷电路板（PCB）生产中的质量控制措施至关重要，而印刷电路板生产是电子制造业流程中的基础且关键环节。