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Dense control valve parts dataset for industrial object detection
Information Sciences | 更新时间：2024-05-08
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    • Dense control valve parts dataset for industrial object detection

    • “一项针对工业实际场景的研究取得了重要进展。该研究团队发布了名为PD4CV（Part Detection for Control Valve）2023的密集控制阀零件数据集，为工业生产中的自动目标检测提供了新的资源。该数据集源自控制阀生产车间，包含了9类零件、510张工盘图像和15015个零件样本，具有密集摆放、遮挡、尺寸差异大、外形相似等特点，为自动目标检测带来了诸多挑战。通过对比实验，研究团队发现一般场景数据集和特定工业场景数据集难以应对PD4CV2023数据集的特殊性。然而，一系列目标检测算法在该数据集上的综合对比验证了其有效性，显示出PD4CV2023数据集在一般性目标检测、多尺度目标检测、小规模、不均衡数据下目标检测中的优越性。这一研究成果为面向工业的目标检测研究提供了新的方向，有望推动工业生产中的自动化智能化进程。同时，该数据集也为相关领域的研究人员提供了宝贵的实验资源，为解决工业自动化中的目标检测问题奠定了坚实的基础。”
      ”
    • Optics and Precision Engineering   Vol. 32, Issue 8, Pages: 1241-1251(2024)

    • DOI：10.37188/OPE.20243208.1241    

      CLC： TP391.41;TG95

    • Published：25 April 2024，

      Received：22 September 2023，

      Revised：14 November 2023，

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  • WANG Linyi,BAI Jing,LI Yanmei,et al.Dense control valve parts dataset for industrial object detection[J].Optics and Precision Engineering,2024,32(08):1241-1251. DOI： 10.37188/OPE.20243208.1241.

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