ME-YOLO: Improved YOLOv5 for Detecting Medical Personal Protective Equipment
Corona Virus Disease 2019 (COVID-19) poses a significant threat to human health and safety. As the core of the prevention and control of COVID-19, the health and safety of medical and nursing personnel are extremely important, and the standardized use of medical personal protective equipment can eff...
Autors principals: | Baizheng Wu, Chengxin Pang, Xinhua Zeng, Xing Hu |
---|---|
Format: | Article |
Idioma: | English |
Publicat: |
MDPI AG
2022-11-01
|
Col·lecció: | Applied Sciences |
Matèries: | |
Accés en línia: | https://www.mdpi.com/2076-3417/12/23/11978 |
Ítems similars
-
Yolo Based Defects Detection Algorithm for EL in PV Modules with Focal and Efficient IoU Loss
per: Shen Ding, et al.
Publicat: (2024-08-01) -
Benchmarking YOLOv5 models for improved human detection in search and rescue missions
per: Namat Bachir, et al.
Publicat: (2024-03-01) -
Improved YOLOv5s Algorithm for Small Target Detection in UAV Aerial Photography
per: Shixin Li, et al.
Publicat: (2024-01-01) -
High Accuracy Real-Time Insulator String Defect Detection Method Based on Improved YOLOv5
per: Jian Ding, et al.
Publicat: (2022-07-01) -
An Improved Algorithm for Wind Turbine Blade Defect Detection
per: Xiukang Ran, et al.
Publicat: (2022-01-01)