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SAM-based instance segmentation models for the automation of structural damage detection. (arXiv:2401.15266v2 [cs.CV] UPDATED)
cs.CV updates on arXiv.org arxiv.org
Automating visual inspection for capturing defects based on civil structures
appearance is crucial due to its currently labour-intensive and time-consuming
nature. An important aspect of automated inspection is image acquisition, which
is rapid and cost-effective considering the pervasive developments in both
software and hardware computing in recent years. Previous studies largely
focused on concrete and asphalt, with less attention to masonry cracks. The
latter also lacks publicly available datasets. In this paper, we first present
a corresponding data set for …
acquisition arxiv automated automation civil computing cost cs.cv defects detection hardware image instance labour nature sam segmentation software visual visual inspection