Paper
9 January 2025 Overview of deep learning YOLO algorithm
Yaohui Pan, Gang Wang, Jun Yu
Author Affiliations +
Proceedings Volume 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024); 134862J (2025) https://doi.org/10.1117/12.3055712
Event: Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 2024, Chengdu, China
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.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yaohui Pan, Gang Wang, and Jun Yu "Overview of deep learning YOLO algorithm", Proc. SPIE 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 134862J (9 January 2025); https://doi.org/10.1117/12.3055712
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KEYWORDS
Object detection

Target detection

Detection and tracking algorithms

Education and training

Facial recognition systems

Deep learning

Feature extraction

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