2024
DOI: 10.3390/computers13120336
|View full text |Cite
|
Sign up to set email alerts
|

The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection

Momina Liaqat Ali,
Zhou Zhang

Abstract: This paper provides a comprehensive review of the YOLO (You Only Look Once) framework up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has revolutionized the field by achieving an optimal balance between speed and accuracy. The review traces the evolution of YOLO variants, highlighting key architectural improvements, performance benchmarks, and applications in domains such as healthcare, autonomous vehicles, and robotics. It also evaluates the framework’s strengths and … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 134 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?