YOLOv1 to YOLOv10: The Fastest and Most Accurate Real-time Object Detection Systems

This is a comprehensive review of the YOLO series of systems. Different from previous literature surveys, this review article reexamines the characteristics of the YOLO series from the latest technical point of view. At the same time, we also analyzed how the YOLO series continued to influence and p...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:APSIPA transactions on signal and information processing 2024-01, Vol.13 (1)
Hauptverfasser: Wang, Chien-Yao, Liao, Hong-Yuan Mark
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This is a comprehensive review of the YOLO series of systems. Different from previous literature surveys, this review article reexamines the characteristics of the YOLO series from the latest technical point of view. At the same time, we also analyzed how the YOLO series continued to influence and promote realtime computer vision-related research and led to the subsequent development of computer vision and language models. We take a closer look at how the methods proposed by the YOLO series in the past ten years have affected the development of subsequent technologies and show the applications of YOLO in various fields. We hope this article can play a good guiding role in subsequent real-time computer vision development.
ISSN:2048-7703
2048-7703
DOI:10.1561/116.20240058