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    Detection and Effectiveness of Improved Drainage Pipe Defects–Based Semantic Segmentation Labeling Methods

    Source: Journal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004::page 04025067-1
    Author:
    Wang, Junling
    ,
    Wang, Chenchen
    ,
    Liu, Yanhong
    ,
    Zhang, Xianguo
    ,
    Huang, Jinyu
    DOI: 10.1061/JPSEA2.PSENG-1898
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis study investigates how to optimize and improve defect sample labeling techniques using 15 different types of drainage pipe flaws. The link between the overall labeling approach and model performance is not fully taken into account by ...
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      Detection and Effectiveness of Improved Drainage Pipe Defects–Based Semantic Segmentation Labeling Methods

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313086
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    contributor authorWang, Junling
    contributor authorWang, Chenchen
    contributor authorLiu, Yanhong
    contributor authorZhang, Xianguo
    contributor authorHuang, Jinyu
    date accessioned2026-08-20T12:05:33Z
    date available2026-08-20T12:05:33Z
    date copyright2025/07/02
    date issued2025
    identifier otherJPSEA2.PSENG-1898.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313086
    description abstractAbstractThis study investigates how to optimize and improve defect sample labeling techniques using 15 different types of drainage pipe flaws. The link between the overall labeling approach and model performance is not fully taken into account by ...
    publisherAmerican Society of Civil Engineers
    titleDetection and Effectiveness of Improved Drainage Pipe Defects–Based Semantic Segmentation Labeling Methods
    typeJournal Article
    journal volume16
    journal issue4
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/JPSEA2.PSENG-1898
    journal fristpage04025067-1
    journal lastpage04025067-9
    page9
    treeJournal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004
    contenttypeFulltext
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