Results 41 to 50 of about 14,166 (237)
Research on Detection Method for Tunnel Lining Defects Based on DCAM-YOLOv5 in GPR B-Scan [PDF]
Radioengineering, 2023 This paper presents a detection method of DCAM-YOLOv5 for ground penetrating radar (GPR) to address the difficulty of identifying complex and multi-type defects in tunnel linings.
D. Chen, S. Xiong, L. Guo
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Image results of YOLOv5-Efficientlite.
, 2023 To meet the goals of computer vision-based understanding of images adopted in agriculture for improved fruit production, it is expected of a recognition model to be robust against complex and changeable environment, fast, accurate and lightweight for a ...
Olarewaju Mubashiru Lawal (14710251)
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Coal gangue detection based on CBA-YOLO model
Gong-kuang zidonghua, 2022 There are some problems in coal gangue detection, such as small differences of characteristics between samples and dense targets. This leads to low precision and poor real-time performance of the existing coal gangue detection methods.
GUI Fangjun, LI Yao
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Image results of YOLOv5-GhostNet.
, 2023 To meet the goals of computer vision-based understanding of images adopted in agriculture for improved fruit production, it is expected of a recognition model to be robust against complex and changeable environment, fast, accurate and lightweight for a ...
Olarewaju Mubashiru Lawal (14710251)
core +1 more source
Surface Defect Detection Method of Wooden Spoon Based on Improved YOLOv5 Algorithm
BioResources, 2023 The available surface defect detection methods for disposable wooden spoons still involve screening with the naked eye. This detection method is not only inefficient but also accompanied by problems such as false detection and missed detection. Therefore,
Siqing Tian +4 more
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Improved GBS-YOLOv5 algorithm based on YOLOv5 applied to UAV intelligent traffic
Scientific Reports, 2023 Abstract As the road traffic situation becomes complex, the task of traffic management takes on an increasingly heavy load. The air-to-ground traffic administration network of drones has become an important tool to promote the high quality of traffic police work in many places.
Haiying Liu +5 more
openaire +3 more sources
Image results of YOLOv5-MobileNetv3.
, 2023 To meet the goals of computer vision-based understanding of images adopted in agriculture for improved fruit production, it is expected of a recognition model to be robust against complex and changeable environment, fast, accurate and lightweight for a ...
Olarewaju Mubashiru Lawal (14710251)
core +1 more source
Crowd counting using Yolov5 and KCF [PDF]
, 2023 Crowd detection has various applications nowadays. However, detecting humans in crowded circumstances is difficult because the features of different objects conflict, making cross-state detection impossible.
Maktoof, et. al., Mohammed Abdul Jaleel
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Journal of Social Computing, 2023 Infant drowning has occurred frequently in swimming pools recent years, which motivates the research on automatic real-time detection of the accident. Unlike youths or adults, swimming infants are small in terms of size and motion range, and unable to ...
Qianen He +3 more
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