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件缺陷，具体涵盖螺栓与螺母缺失、松动、锈蚀，以及疲劳裂纹。数据集包含超过826张涵盖螺栓缺陷与完好状态的图像，采集自真实钢结构场景与实验室搭建环境。本数据集已针对用于自动化缺陷检测的深度学习应用，完成了边界框（bounding box）与掩码（mask）的标注。

搜集汇总

背景与挑战

背景概述

该数据集包含826张钢铁连接件缺陷图像，涵盖缺失、松动、腐蚀和疲劳裂纹等类型，适用于深度学习模型的训练。数据来自多个地区，经过增强处理扩展至1500张图像，支持多种目标检测算法。