Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1415001(2024)

Enhanced Rotating Frame Industrial Part Detection Algorithm of YOLOv5s

Yaokun Wei1,2, Yunjiang Kang1、*, Danwei Wang1, Peng Zhao1, and Bin Xu1
Author Affiliations
  • 1Machinery Technology Development Co., Ltd., Beijing 100044, China
  • 2China Academy of Machinery Science and Technology Group, Beijing 100044, China
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    References(26)

    [12] Hu K X. Oriented object detector in aerial images based on YOLOv5[D](2022).

    [16] Shi S S, Chen Y Q, Wang Y J et al. Aircraft bunker detection method based on deep learning in high resolution remote sensing images[J]. Laser & Optoelectronics Progress, 60, 2028002(2023).

    [21] Yang X, Zhang G F, Yang X J et al. Detecting rotated objects as Gaussian distributions and its 3-D generalization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 4335-4354(2023).

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    Yaokun Wei, Yunjiang Kang, Danwei Wang, Peng Zhao, Bin Xu. Enhanced Rotating Frame Industrial Part Detection Algorithm of YOLOv5s[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1415001

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    Paper Information

    Category: Machine Vision

    Received: Sep. 4, 2023

    Accepted: Oct. 30, 2023

    Published Online: Jul. 4, 2024

    The Author Email: Yunjiang Kang (1228996495@qq.com)

    DOI:10.3788/LOP232025

    CSTR:32186.14.LOP232025

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