Visual structural inspection datasets

As research has turned to the success of artificial intelligence augment inspection process, need for image data is particularly present. However, across structural and health monitoring literature, it commonly noted that scarce. Thus, we have procured most extensive collection datasets in field. We compiled a eighty-six papers with pertaining machine learning algorithms. This lake provides an exceptionally rich starting point researchers use when beginning their next application visual inspection. Additionally, continue growth this lake, catalog available as collaborative table which may be edited extended upon over time. Furthermore, through our review, discovered trends experimental data, identified emerging promising methods, provided suggestions data-driven future.