Haokang Wen1, Fengzhi Dai1,2
1Tianjin University of Science and Technology, China
2Tianjin Tianke Intelligent and Manufacture Technology CO., LTD, China
pp. 70–73
ABSTRACT
With the development of deep learning, target detection has become one
of the research directions of many scholars. As one of the more mature
algorithms, the single-stage YOLO algorithms have been widely used in real
life. Combining the development history of the YOLO algorithm, this article
focuses on the main framework and main content of the current latest YOLOv5
algorithm, and uses the YOLOv5s model to identify and detect multi-target.
The test results show that YOLOv5s algorithm has good detection effect
and wide application meaning in real life.
ARTICLE INFO
Article History
Received 25 October 2020
Accepted 29 July 2021
Keywords
Target detection
YOLOv5
Deep learning
Computer vision technology
JAALR2204
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