YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series

This review systematically examines the progression of the You Only Look Once (YOLO) object detection algorithms from YOLOv1 to the recently unveiled YOLOv12. Employing a reverse chronological analysis, this study examines the advancements introduced by YOLO algorithms, beginning with YOLOv12 and pr...

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Bibliographic Details
Published in:	The Artificial intelligence review Vol. 58; no. 9; p. 274
Main Authors:	Sapkota, Ranjan, Flores-Calero, Marco, Qureshi, Rizwan, Badgujar, Chetan, Nepal, Upesh, Poulose, Alwin, Zeno, Peter, Vaddevolu, Uday Bhanu Prakash, Khan, Sheheryar, Shoman, Maged, Yan, Hong, Karkee, Manoj
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 11.06.2025 Springer Nature B.V
Subjects:	Agriculture Algorithms Alternative approaches Artificial Intelligence Computer Science Health care Health services Intelligence Manufacturing Medical imaging Object recognition Real time Surveillance Technological change Traffic accidents & safety Computer vision CNN Healthcare and medical imaging YOLOv1 to YOLOv12 Real-time object detection YOLO Deep learning Industrial manufacturing Surveillance Traffic safety Agriculture You Only Look Once Artificial intelligence YOLO configurations Autonomous vehicles
ISSN:	1573-7462, 0269-2821, 1573-7462
Online Access:	Get full text
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