Abstract
The sewerage system is held as an important part of city infrastructure, while the pipeline inspection technology based on closed-circuit television system (CCTV) is still offline and by human. This paper focus on the research topic of defect detection for intelligent sewer inspection with multi-label classification. We first use the image preprocessing methods to get the unified datasets, then deploy the framework of deep learning, and propose a multi-label classification method for defect detection. The experimental results show that our approach is a scalable and efficient method, and it will be used in the application systems.
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