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    YOLO-BFID: Real-Time Building Facade Inspection by Using an Advanced Artificial Vision Model Integrated with Drone Technology

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005::page 04026065-1
    Author:
    Cao, Minh-Tu
    ,
    Wang, Wei-Chih
    ,
    Shen, Shu-Li
    DOI: 10.1061/JCCEE5.CPENG-7699
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis study presented the You Only Look Once (YOLO) for building façade inspection with drones (YOLO-BFID), an enhanced version of YOLOv11 designed to improve small detection and operate efficiently across challenging real-world scenarios. The ...
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      YOLO-BFID: Real-Time Building Facade Inspection by Using an Advanced Artificial Vision Model Integrated with Drone Technology

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314527
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    contributor authorCao, Minh-Tu
    contributor authorWang, Wei-Chih
    contributor authorShen, Shu-Li
    date accessioned2026-08-20T21:28:56Z
    date available2026-08-20T21:28:56Z
    date copyright2026/06/04
    date issued2026
    identifier otherJCCEE5.CPENG-7699.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314527
    description abstractAbstractThis study presented the You Only Look Once (YOLO) for building façade inspection with drones (YOLO-BFID), an enhanced version of YOLOv11 designed to improve small detection and operate efficiently across challenging real-world scenarios. The ...
    publisherAmerican Society of Civil Engineers
    titleYOLO-BFID: Real-Time Building Facade Inspection by Using an Advanced Artificial Vision Model Integrated with Drone Technology
    typeJournal Article
    journal volume40
    journal issue5
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-7699
    journal fristpage04026065-1
    journal lastpage04026065-16
    page16
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005
    contenttypeFulltext
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