Results 1 to 10 of about 2,448 (190)

Detection of Pear Inflorescence Based on Improved Ghost-YOLOv5s-BiFPN Algorithm

智慧农业, 2022
Mechanized and intelligent flower thinning is a high-speed flower thinning method nowadays. The classification and detection of flowers and flower buds are the basic requirements to ensure the normal operation of the flower thinning machine.
XIA Ye, LEI Xiaohui, QI Yannan, XU Tao, YUAN Quanchun, PAN Jian, JIANG Saike, LYU Xiaolan   +7 more
doaj   +2 more sources

A collaborative multi-attention network for real-time small object detection in UAV imagery [PDF]

Scientific Reports
To address the challenges of detecting small objects in unmanned aerial vehicle (UAV) imagery, such as weak feature representation, complex background interference, and high real-time requirements, this paper proposes a Collaborative Multi-Attention ...
Jianxiu Yang, Xiangmei Yue, Liang Wu
doaj   +2 more sources

A multi-scale adaptive framework for high-precision rail track damage detection via StarNet and bidirectional feature pyramid network [PDF]

Scientific Reports
Railway tracks are prone to damage after long-term exposure to harsh environments, posing risks to transportation safety. Traditional manual inspection is inefficient and error-prone, while existing deep learning–based detection models, such as YOLO ...
Yanzhi Pang, Xiang Wang, Yang Tang, Benxiao Lou, Longtang Ning, Huan Xiong, Xiaoli Teng, Qingquan Yuan, Chun Bao, Jianqiu Chen, Guobin Gu   +10 more
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OTB-YOLO: An Enhanced Lightweight YOLO Architecture for UAV-Based Maize Tassel Detection [PDF]

Plants
To tackle the challenges posed by substantial variations in target scale, intricate background interference, and the likelihood of missing small targets in multi-temporal UAV maize tassel imagery, an optimized lightweight detection model derived from ...
Yu Han, Xingya Wang, Luyan Niu, Song Shi, Yingbo Gao, Kuijie Gong, Xia Zhang, Jiye Zheng   +7 more
doaj   +2 more sources

Research on multi object detection in mining face based on FBEC-YOLOv5s

Gong-kuang zidonghua, 2023
A multi object detection algorithm based on FBEC-YOLOv5s is proposed to address the issues of reduced detection precision caused by large object scale spans, severe obstruction between multiple objects, and harsh environments in mining faces.
ZHANG Hui, SU Guoyong, ZHAO Dongyang
doaj   +1 more source

Bridge detection method for HSRRSIs based on YOLOv5 with a decoupled head

International Journal of Digital Earth, 2023
The different imaging conditions of high spatial resolution remote sensing images (HSRRSIs) tend to cause large differences in the background information of bridges from the images, including problems of difficult detection of multiscale bridges, leakage
Mulan Qiu, Liang Huang, Bo-Hui Tang
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
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A traffic sign detection model based on coordinate attention - bidirectional feature pyramid network

Shenzhen Daxue xuebao. Ligong ban, 2023
In the field of autonomous driving, the correct detection of traffic signs can provide important information for environmental perception. To address the low recognition rate and misdetection and missed detection issues of various traffic signs, we ...
LANG Binke, LÜ Bin, WU Jianqing, WU Ruinian   +3 more
doaj   +1 more source

Improvement of the YOLOv5 Model in the Optimization of the Brown Spot Disease Recognition Algorithm of Kidney Bean

Plants, 2023
The kidney bean is an important cash crop whose growth and yield are severely affected by brown spot disease. Traditional target detection models cannot effectively screen out key features, resulting in model overfitting and weak generalization ability ...
Pengyan Su, Hao Li, Xiaoyun Wang, Qianyu Wang, Bokun Hao, Meichen Feng, Xinkai Sun, Zhongyu Yang, Binghan Jing, Chao Wang, Mingxing Qin, Xiaoyan Song, Lujie Xiao, Jingjing Sun, Meijun Zhang, Wude Yang   +15 more
doaj   +1 more source

Improvement of Lightweight Convolutional Neural Network Model Based on YOLO Algorithm and Its Research in Pavement Defect Detection

Sensors, 2022
To ensure the safe operation of highway traffic lines, given the imperfect feature extraction of existing road pit defect detection models and the practicability of detection equipment, this paper proposes a lightweight target detection algorithm with ...
Fu-Jun Du, Shuang-Jian Jiao
doaj   +1 more source