AI RESEARCH
StructDamage:A Large Scale Unified Crack and Surface Defect Dataset for Robust Structural Damage Detection
arXiv CS.CV
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ArXi:2603.10484v1 Announce Type: new Automated detection and classification of structural cracks and surface defects is a critical challenge in civil engineering, infrastructure maintenance, and heritage preservation. Recent advances in Computer Vision (CV) and Deep Learning (DL) have significantly improved automatic crack detection. However, these methods rely heavily on large, diverse, and carefully curated datasets that include various crack types across different surface materials.