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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.