RST-YOLOv8: An Improved Chip Surface Defect Detection Model Based on YOLOv8
Surface defect detection in chips is crucial for ensuring product quality and reliability. This paper addresses the challenge of low identification accuracy in chip surface defect detection, which arises from the similarity of defect characteristics, small sizes, and significant scale differences. W...
Saved in:
| Main Authors: | Wenjie Tang, Yangjun Deng, Xu Luo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/13/3859 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Substation Equipment Defect Detection Based on Improved YOLOv8
by: Yiwei Sun, et al.
Published: (2025-05-01) -
BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection
by: Long Guo, et al.
Published: (2024-11-01) -
Steel Surface Defect Detection Algorithm Based on Improved YOLOv8 Modeling
by: Miao Peng, et al.
Published: (2025-08-01) -
RHS-YOLOv8: A Lightweight Underwater Small Object Detection Algorithm Based on Improved YOLOv8
by: Yifan Wei, et al.
Published: (2025-03-01) -
Building Surface Defect Detection Based on Improved YOLOv8
by: Xiaoxia Lin, et al.
Published: (2025-05-01)