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This review paper discusses the evolution of the YOLO (You Only Look Once) object detection algorithm from YOLO-v1 to YOLO-v8, emphasizing its application in digital manufacturing and industrial defect detection. It highlights the architectural advancements of each YOLO variant and their compatibility with industrial requirements such as speed, accuracy, and deployment on edge devices. The paper aims to provide insights for researchers and practitioners on selecting appropriate YOLO architectures for variou

Author

nguyenducduy25605

Language

EN