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)
 
       