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    MACO: An Open-Image Data Set with Multiannotation Strategies for Building Material Counting

    Source: Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 004::page 04026008-1
    Author:
    Huang, Qian
    ,
    Chen, Yutao
    ,
    Li, Yang
    ,
    Liu, Siyuan
    ,
    Fan, Zekai
    ,
    Chen, Xingjian
    ,
    Chen, Jun
    DOI: 10.1061/JCEMD4.COENG-17693
    Publisher: American Society of Civil Engineers
    Abstract: AbstractBuilding material management is fundamental to engineering projects. Currently, the counting of building materials is primarily conducted manually, a process that is time-consuming and prone to errors. Recent advances in computer vision and deep ...
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      MACO: An Open-Image Data Set with Multiannotation Strategies for Building Material Counting

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4311177
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    contributor authorHuang, Qian
    contributor authorChen, Yutao
    contributor authorLi, Yang
    contributor authorLiu, Siyuan
    contributor authorFan, Zekai
    contributor authorChen, Xingjian
    contributor authorChen, Jun
    date accessioned2026-08-20T10:43:37Z
    date available2026-08-20T10:43:37Z
    date copyright2026/01/21
    date issued2026
    identifier otherJCEMD4.COENG-17693.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311177
    description abstractAbstractBuilding material management is fundamental to engineering projects. Currently, the counting of building materials is primarily conducted manually, a process that is time-consuming and prone to errors. Recent advances in computer vision and deep ...
    publisherAmerican Society of Civil Engineers
    titleMACO: An Open-Image Data Set with Multiannotation Strategies for Building Material Counting
    typeJournal Article
    journal volume152
    journal issue4
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-17693
    journal fristpage04026008-1
    journal lastpage04026008-12
    page12
    treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 004
    contenttypeFulltext
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