A deep learning-based method for the intelligent identification of the quantity of coals flushed out during borehole hydraulic flushing
ObjectiveGiven the inaccurate and low-efficiency manual statistics of the quantity of coals flushed out during borehole hydraulic flushing, this study proposed an intelligent identification method that combines YOLOv8n, ResNet34, and PP-OCRv4 algorithms. MethodsFirst, the first-level detection was c...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Coal Geology & Exploration
2025-01-01
|
| Series: | Meitian dizhi yu kantan |
| Subjects: | |
| Online Access: | http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.09.0605 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|