CrackVisual-Dataset-2025: An Image Dataset for Surface Defect (Crack and Seepage) Detection in Foundation Pit Support Systems

The CrackVisual-Dataset is a specialized image collection created for training and validating machine vision-based models for detecting surface defects in foundation pit support systems. This dataset supports the research presented in the paper "Investigation into enabling machine vision and machine learning technologies for surface defect detection of pit support systems" and aims to advance research in intelligent construction, particularly for the safety monitoring of excavation engineering.裂缝视觉数据集（CrackVisual-Dataset）是一款专为训练与验证基坑支护结构表面缺陷检测的机器视觉模型而构建的专用图像集。该数据集为发表于论文《Investigation into enabling machine vision and machine learning technologies for surface defect detection of pit support systems》的相关研究提供支撑，旨在推动智能建造领域的研究进展，尤其聚焦于基坑开挖工程的安全监测方向。