Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1615007(2023)
Aero-Engine Surface Defect Detection Model Based on Improved YOLOv5
Fig. 1. YOLOv5s-6.0 network structure
Fig. 2. Flowchart of a search algorithm for data augmentation
Fig. 3. Structure of the CA module
Fig. 4. Diagram of CIoU
Fig. 5. Diagram of the CA module adding location
Fig. 6. Type of defect. (a) Crack; (b) gap; (c) pit; (d) scratch
Fig. 7. Defect labelling example
Fig. 8. xml label file
Fig. 9. Comparison of the detection effect of two models. (a) (b) (c) Detection effect of YOLOv5s; (d) (e) (f) Detection effect of YOLOv5-CE
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Xin Li, Xiangrong Li, Cheng Wang, Qiuliang Li, Zhuoyue Li. Aero-Engine Surface Defect Detection Model Based on Improved YOLOv5[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1615007
Category: Machine Vision
Received: Sep. 15, 2022
Accepted: Nov. 23, 2022
Published Online: Aug. 18, 2023
The Author Email: Li Xiangrong (lixiangrong0925@126.com)