Abstract:Although deep-learning-based approaches have demonstrated impressive performance in object detection tasks, the requirement for large datasets of annotated training images limits the feasibility of deep neural networks. For example, obtaining a large number of crack images of a dam is unlikely, particularly in the absence of open-source datasets. To address this problem, the authors have developed three synthetic data generators based on virtual scene simulation and image processing for generating large amount… Show more
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