SDNET 2025- Defective Bolts and Nuts Steel dataset

The dataset focuses on defective steel connections, specifically missing, loose, and corroded bolts and nuts, along with fatigue cracks. It contains over 826 images of defective and intact bolts captured from both real-world steel structures and laboratory setups. The dataset has been annotated with bounding boxes and masks for deep learning applications in automated defect detection.本数据集聚焦于钢结构连接节点缺陷，具体涵盖螺栓、螺母缺失、松动、锈蚀以及疲劳裂纹四类缺陷。数据集共包含826余张采集自真实钢结构现场与实验室场景的缺陷螺栓与完好螺栓图像。本数据集已完成边界框（bounding boxes）与掩码（masks）标注，以支撑自动化缺陷检测领域的深度学习应用。