GDM-YOLO: A Model for Steel Surface Defect Detection Based on YOLOv8s
Steel materials are extensively used across various industries. Detecting surface defects in steel strips during production processes is crucial. Existing steel surface defect detection methods exhibit inadequate accuracy and excessive computational complexity, posing challenges for real-time indust...
| Published in: | IEEE Access |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10710337/ |
