Detection algorithm for wearing safety helmet under mine based on improved YOLOv5s
Aiming at the problems of low accuracy and high missed detection rate of personnel safety helmet detection algorithm caused by complex environment under mine, an improved mine safety helmet detection algorithm based on YOLOv5s is proposed. Due to the computer system, the global context information o...
| Published in: | Meitan kexue jishu |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | Chinese |
| Published: |
Editorial Department of Coal Science and Technology
2025-06-01
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| Subjects: | |
| Online Access: | http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2023-1839 |