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.

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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
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article

Overview of deep learning YOLO algorithm

Yaohui Pan, Jun Yu, Gang Wang
7 citations
Advanced Neural Network Applications
8.93
article

Overview of deep learning YOLO algorithm

Yaohui Pan, Jun Yu, Gang Wang
article en
7 citations

Abstract

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.

Jilin University of Chemical Technology (CN)
Openalex Percentile: Top 2%
Advanced Neural Network Applications
8.93
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