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dc.contributor.authorHuang, Qian
dc.contributor.authorChen, Yutao
dc.contributor.authorLi, Yang
dc.contributor.authorLiu, Siyuan
dc.contributor.authorFan, Zekai
dc.contributor.authorChen, Xingjian
dc.contributor.authorChen, Jun
dc.date.accessioned2026-08-20T10:43:37Z
dc.date.available2026-08-20T10:43:37Z
dc.date.copyright2026/01/21
dc.date.issued2026
dc.identifier.otherJCEMD4.COENG-17693.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311177
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleMACO: An Open-Image Data Set with Multiannotation Strategies for Building Material Counting
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue4
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-17693
dc.journal.fristpage04026008-1
dc.journal.lastpage04026008-12
dc.page12
dc.treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 004
dc.contenttypeFulltext


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