Results 11 to 20 of about 12,214 (239)
YOLOv5-OCDS: An Improved Garbage Detection Model Based on YOLOv5
Electronics, 2023 As the global population grows and urbanization accelerates, the garbage that is generated continues to increase. This waste causes serious pollution to the ecological environment, affecting the stability of the global environmental balance. Garbage detection technology can quickly and accurately identify, classify, and locate many kinds of garbage to ...
Qiuhong Sun +3 more
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เครื่องจ่ายยาอัตโนมัติเเละตรวจสอบความถูกต้องด้วยโมเดล YOLOv5
Journal of Computer and Creative Technologyวารสารคอมพิวเตอร์และเทคโนโลยีสร้างสรรค์, 2, 2, 45 ...
พลวัต ช่อผูก +3 more
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HIC-YOLOv5: Improved YOLOv5 For Small Object Detection
2024 IEEE International Conference on Robotics and Automation (ICRA)Small object detection has been a challenging problem in the field of object detection. There has been some works that proposes improvements for this task, such as adding several attention blocks or changing the whole structure of feature fusion networks.
Shiyi Tang, Yini Fang, Shu Zhang
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PO-YOLOv5: A defect detection model for solenoid connector based on YOLOv5
PLOS ONESolenoid connectors play important role in electronic stability system design, with the features of small size, low cost, fast response time and high reliability. The main production process challenge for solenoid connectors is the accurate detection of defects, which is closely related to safe driving.
Ming Chen +6 more
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Research on mine vehicle tracking and detection technology based on YOLOv5
Systems Science & Control Engineering, 2022 Vehicle tracking detection, recognition and counting is an important part of vehicle analysis. Designing such a model with excellent performance is difficult. The traditional target detection algorithm based on artificial features has poor generalization
Kaijie Zhang +7 more
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YOLOv5s-DSD: An Improved Aerial Image Detection Algorithm Based on YOLOv5s
Sensors, 2023 Due to the challenges of small detection targets, dense target distribution, and complex backgrounds in aerial images, existing object detection algorithms perform poorly in aerial image detection tasks. To address these issues, this paper proposes an improved algorithm called YOLOv5s-DSD based on YOLOv5s.
Chaoyue Sun +4 more
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YOLOv5-plum network structure diagram.
, 2023 Real-time, rapid, accurate, and non-destructive batch testing of fruit growth state is crucial for improving economic benefits. However, for plums, environmental variability, multi-scale, occlusion, overlapping of leaves or fruits pose significant ...
Qianqian Wu (818952) +4 more
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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
doaj
Automatic Number Plate Recognition System for Indian Number Plates using Machine Learning Techniques [PDF]
ITM Web of Conferences, 2022 India being a country where the population is above 1.3 billion where each person has at least one car of his/her use. Considering this, the number of cars driven on the roads of India must be greater than the population of the people in the country ...
Hajare Gayatri +3 more
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YOLOv5-plum model detection effect.
, 2023 Real-time, rapid, accurate, and non-destructive batch testing of fruit growth state is crucial for improving economic benefits. However, for plums, environmental variability, multi-scale, occlusion, overlapping of leaves or fruits pose significant ...
Qianqian Wu (818952) +4 more
core +1 more source