Results 41 to 50 of about 5,394 (229)

KPE-YOLOv5: An Improved Small Target Detection Algorithm Based on YOLOv5

Electronics, 2023
At present, the existing methods have many limitations in small target detection, such as low accuracy, a high rate of false detection, and missed detection. This paper proposes the KPE-YOLOv5 algorithm aiming to improve the ability of small target detection. The algorithm has three improvements based on the YOLOv5 algorithm.
Yang, Rujin, Li, Wenfa, Shang, Xinna, Zhu, Deping, Man, Xunyu   +4 more
openaire   +1 more source

Research on coal gangue detection in coal preparation plant based on YOLOv5s-FSW model

Gong-kuang zidonghua
A coal gangue detection method in coal preparation plant based on YOLOv5s-FSW model is proposed to address the problems of insufficient feature extraction, large parameter quantity, low detection precision, and poor real-time performance in existing coal
YAN Bijuan, WANG Kaimin, GUO Pengcheng, ZHENG Xinxu, DONG Hao, LIU Yong   +5 more
doaj   +1 more source

Detection of Broken Hongshan Buckwheat Seeds Based on Improved YOLOv5s Model

Agronomy, 2023
Breeding technology is one of the necessary means for agricultural development, and the automatic identification of poor seeds has become a trend in modern breeding.
Xin Li, Wendong Niu, Yinxing Yan, Shixing Ma, Jianxun Huang, Yingmei Wang, Renjie Chang, Haiyan Song   +7 more
doaj   +1 more source

Real-time Strawberry Detection Based on Improved YOLOv5s Architecture for Robotic Harvesting in open-field environment

, 2023
This study proposed a YOLOv5-based custom object detection model to detect strawberries in an outdoor environment. The original architecture of the YOLOv5s was modified by replacing the C3 module with the C2f module in the backbone network, which ...
He, Zixuan, Karkee, Manoj, Khana, Salik Ram, Zhang, Qin, Zhang, Xin   +4 more
core  

YOLOv5s_2E: Improved YOLOv5s for Aerial Small Target Detection

IEEE Access, 2023
To address the issues of low accuracy in existing small object detection algorithms, an improved network model algorithm called YOLOv5s_2E is proposed. This method first uses the k-means++ clustering algorithm to calculate the prior boxes of the Visdrone dataset.
Tao Shi, Yao Ding, Wenxu Zhu
openaire   +1 more source

YOLOv5s-CA: A Modified YOLOv5s Network with Coordinate Attention for Underwater Target Detection

Sensors, 2023
Underwater target detection techniques have been extensively applied to underwater vehicles for marine surveillance, aquaculture, and rescue applications. However, due to complex underwater environments and insufficient training samples, the existing underwater target recognition algorithm accuracy is still unsatisfactory.
Ge Wen, Shaobao Li, Fucai Liu, Xiaoyuan Luo, Meng-Joo Er, Mufti Mahmud, Tao Wu   +6 more
openaire   +3 more sources

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Accurate Detection and Precision Spraying of Corn and Weeds Using the Improved YOLOv5 Model

IEEE Access, 2023
The precise identification of corn and weeds plays an important role in precise spraying. This paper proposed a lightweight model based on the improved yolov5s and built a precision spraying robot.
Baoju Wang, Yu Yan, Yubin Lan, Meng Wang, Zhihao Bian   +4 more
doaj   +1 more source

YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry

High Voltage, EarlyView.
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao, Jiamin Guo, Erbao Dong, Rui Guo, Linkun Zhao, Chaoqun Wang, Xuewen Rong, Yibin Li   +7 more
wiley   +1 more source

IoT-Based Smoking Violation Detection System Equipped with Object Detection Using YOLOv5s Algorithm

Journal of Applied Informatics and Computing
Smoking is a common habit in Indonesia. The Indonesian government has implemented regulations on smoke-free areas, but violations of the smoke-free policy still often occur.
Audina Amalia Putri, Indra Hermawan
doaj   +1 more source