Overview of deep learning YOLO algorithm
At present, the YOLO algorithm has become an indispensable core real-time object detection technology in aspects such as unmanned driving, face detection, and robot applications, and its versions are constantly being updated and upgraded. Herein, we deeply analyze the evolution process of the YOLO algorithm and carefully investigate the innovations and contributions arising from the algorithm iterations from YOLOv1 to YOLOv5. We make vivid and inspiring prospects for the future development direction and point out the feasibility and necessity of the research on the YOLO algorithm.
Authors
- Yaohui Pan
- Jun Yu (ORCID: https://orcid.org/0000-0002-3197-8103)
- Gang Wang (ORCID: https://orcid.org/0000-0002-7266-2412)
Institutions
- Jilin University of Chemical Technology (CN)
Publication Details
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1117/12.3055712
- Citations
- 7
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 8.93