Research on coal gangue detection algorithm based on YOLOv4

Jianshi Wang; Shuai Zhao; Haikun Yang; Zhiwei Yu; Yongchao Zhang; Mei Qi

doi:10.1117/12.2625333

12 December 2021 Research on coal gangue detection algorithm based on YOLOv4

Jianshi Wang, Shuai Zhao, Haikun Yang, Zhiwei Yu, Yongchao Zhang, Mei Qi

Proceedings Volume 12127, International Conference on Intelligent Equipment and Special Robots (ICIESR 2021); 1212725 (2021) https://doi.org/10.1117/12.2625333
Event: International Conference on Intelligent Equipment and Special Robots (ICIESR 2021), 2021, Qingdao, China

Abstract

In order to improve the accuracy of coal gangue detection, this paper proposes to use yolov4 algorithm to detect coal gangue. Through the training and detection experiments of coal gangue data set, it is found that the optimized yolov4 detection algorithm can accurately detect small coal gangue, high-carbon coal gangue, partially masked coal gangue and masked high-carbon coal gangue in different backgrounds, and has considerable real-time, which verifies the feasibility of yolov4 detection of coal gangue.

Citation Download Citation

Jianshi Wang, Shuai Zhao, Haikun Yang, Zhiwei Yu, Yongchao Zhang, and Mei Qi "Research on coal gangue detection algorithm based on YOLOv4", Proc. SPIE 12127, International Conference on Intelligent Equipment and Special Robots (ICIESR 2021), 1212725 (12 December 2021); https://doi.org/10.1117/12.2625333

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