Research on Bearing Surface Scratch Detection Based on Improved YOLOV5
Huakun Jia,
Huimin Zhou,
Zhehao Chen
et al.
Abstract:Bearings are crucial components of machinery and equipment, and it is essential to inspect them thoroughly to ensure a high pass rate. Currently, bearing scratch detection is primarily carried out manually, which cannot meet industrial demands. This study presents research on the detection of bearing surface scratches. An improved YOLOV5 network, named YOLOV5-CDG, is proposed for detecting bearing surface defects using scratch images as targets. The YOLOV5-CDG model is based on the YOLOV5 network model with th… Show more
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