A Review of YOLO Object Detection Algorithms based on Deep Learning

Authors

  • Xiaohan Cong
  • Shixin Li
  • Fankai Chen
  • Chen Liu
  • Yue Meng

DOI:

https://doi.org/10.54097/fcis.v4i2.9730

Keywords:

Object Detection, YOLO, Deep Learning

Abstract

Object detection is a research hotspot in the field of computer vision, and YOLO series shows good performance in object detection, and has been widely used in robot vision, unmanned driving and other fields in recent years. This paper first introduces the YOLO series algorithm, including the principle, innovation points, advantages and disadvantages of various algorithms, then introduces the application field of YOLO series, and finally analyzes its future development trend to provide reference for the topic research.

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References

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Published

25-06-2023

Issue

Section

Articles

How to Cite

Cong, X., Li, S., Chen, F., Liu, C., & Meng, Y. (2023). A Review of YOLO Object Detection Algorithms based on Deep Learning. Frontiers in Computing and Intelligent Systems, 4(2), 17-20. https://doi.org/10.54097/fcis.v4i2.9730