Empirical Evaluation and Analysis of YOLO Models in Smart Transportation
You Only Look Once (YOLO) and its variants have emerged as the most popular real-time object detection algorithms. They have been widely used in real-time smart transportation applications due to their low-latency detection and high accuracy. However, because of the diverse characteristics of YOLO m...
Saved in:
Main Authors: | Lan Anh Nguyen, Manh Dat Tran, Yongseok Son |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-11-01
|
Series: | AI |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-2688/5/4/122 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Capacity Constraint Analysis Using Object Detection for Smart Manufacturing
by: Hafiz Mughees Ahmad, et al.
Published: (2024-10-01) -
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications, and Challenges
by: James E. Gallagher, et al.
Published: (2025-01-01) -
SMART TRAFFIC SIGNAL CONTROL SYSTEM FOR TWO INTER-DEPENDENT INTERSECTIONS IN AKURE, NIGERIA
by: AJIBESIN SAMSON, et al.
Published: (2022-10-01) -
LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery
by: Van Quang Nghiem, et al.
Published: (2025-03-01) -
Implementasi You Look Only Once (Yolo) Untuk Manajemen Parkir Di PT. Royal Dparagon Land
by: paulus harsadi, et al.
Published: (2024-12-01)