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

被引:5
|
作者
Wang, Chien-Yao [1 ,2 ]
Liao, Hong-Yuan Mark [1 ,2 ,3 ]
机构
[1] Acad Sinica, Inst Informat Sci, Taipei, Taiwan
[2] Natl Taipei Univ Technol, Taipei, Taiwan
[3] Natl Chung Hsing Univ, Taipei, Taiwan
关键词
YOLO; computer vision; real-time object detection;
D O I
10.1561/116.20240058
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页数:38
相关论文
共 50 条
  • [31] Real-Time Object Tracking with YOLOv5 and Recurrent Network
    Mohammed, Al Ameri
    Memon, Qurban
    2024 7TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS, AND CONTROL ENGINEERING, ICECC 2024, 2024, : 28 - 32
  • [32] Modular YOLOv8 optimization for real-time UAV maritime rescue object detection
    Zhao, Beigeng
    Zhou, Ye
    Song, Rui
    Yu, Lizhi
    Zhang, Xia
    Liu, Jiren
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [33] A novel finetuned YOLOv6 transfer learning model for real-time object detection
    Gupta, Chhaya
    Gill, Nasib Singh
    Gulia, Preeti
    Chatterjee, Jyotir Moy
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2023, 20 (03)
  • [34] Quantizing YOLOv5 for Real-Time Vehicle Detection
    Zhang, Zicheng
    Xu, Hongke
    Lin, Shan
    IEEE ACCESS, 2023, 11 : 145601 - 145611
  • [35] Real-Time Waste Detection Based on YOLOv8
    Mehadjbia, Abdelhak
    Slaoui-Hasnaoui, Fouad
    4TH INTERDISCIPLINARY CONFERENCE ON ELECTRICS AND COMPUTER, INTCEC 2024, 2024,
  • [36] YOLOv5-R: lightweight real-time detection based on improved YOLOv5
    Ren, Jian
    Wang, Zhijie
    Zhang, Yifan
    Liao, Lei
    JOURNAL OF ELECTRONIC IMAGING, 2022, 31 (03)
  • [37] Attention-YOLOV4: a real-time and high-accurate traffic sign detection algorithm
    Li, Yi
    Li, Jinguo
    Meng, Ping
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (05) : 7567 - 7582
  • [38] Attention-YOLOV4: a real-time and high-accurate traffic sign detection algorithm
    Yi Li
    Jinguo Li
    Ping Meng
    Multimedia Tools and Applications, 2023, 82 : 7567 - 7582
  • [39] A real-time object detection method for underwater complex environments based on FasterNet-YOLOv7
    Yang, Qing
    Meng, Huijuan
    Gao, Yuchen
    Gao, Dexin
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2024, 21 (01)
  • [40] A real-time object detection model for orchard pests based on improved YOLOv4 algorithm
    Haitong Pang
    Yitao Zhang
    Weiming Cai
    Bin Li
    Ruiyin Song
    Scientific Reports, 12