Results 21 to 30 of about 1,461 (155)
Research on Object Detection and Recognition Method for UAV Aerial Images Based on Improved YOLOv5
Drones, 2023 In this paper, an object detection and recognition method based on improved YOLOv5 is proposed for application on unmanned aerial vehicle (UAV) aerial images.
Heng Zhang +5 more
doaj +1 more source
Novel Recursive BiFPN Combining with Swin Transformer for Wildland Fire Smoke Detection
Forests, 2022 The technologies and models based on machine vision are widely used for early wildfire detection. Due to the broadness of wild scene and the occlusion of the vegetation, smoke is more easily detected than flame. However, the shapes of the smoke blown by the wind change constantly and the smoke colors from different combustors vary greatly.
Ao Li, Yaqin Zhao, Zhaoxiang Zheng
openaire +1 more source
Automatic detection of brown hens in cage-free houses with deep learning methods
Poultry Science, 2023 : Computer vision technologies have been tested to monitor animals’ behaviors and performance. High stocking density and small body size of chickens such as broiler and cage-free layers make effective automated monitoring quite challenging. Therefore, it
Yangyang Guo +4 more
doaj +1 more source
Crop Pest Target Detection Algorithm in Complex Scenes:YOLOv8-Extend
智慧农业ObjectiveIt is of great significance to improve the efficiency and accuracy of crop pest detection in complex natural environments, and to change the current reliance on expert manual identification in the agricultural production process.
ZHANG Ronghua, BAI Xue, FAN Jiangchuan
doaj +1 more source
A coal mine underground drill pipes counting method based on improved YOLOv8n
Gong-kuang zidonghuaIn order to improve the efficiency and precision of underground drill pipe counting in coal mines, a coal mine underground drill pipe counting method based on the improved YOLOv8n model is proposed.
JIANG Yuanyuan, LIU Songbo
doaj +1 more source
Remote Sensing, 2022 Efficiently and automatically acquiring information on earthquake damage through remote sensing has posed great challenges because the classical methods of detecting houses damaged by destructive earthquakes are often both time consuming and low in ...
Yafei Jing +4 more
doaj +1 more source
Severity Grading Model for Camellia Oleifera Anthracnose Infection Based on Improved YOLACT
智慧农业ObjectiveCamellia oleifera is one of the four major woody oil plants in the world. Diseases is a significant factor leading to the decline in quality of Camellia oleifera and the financial loss of farmers.
NIE Ganggang +3 more
doaj +1 more source
Research on Online Listening Behavior Recognition Model Based on Improved YOLOv8 Algorithm [PDF]
Jisuanji gongchengTarget detection technology is advancing, but recognizing online listening behavior remains a challenge. Inaccurate identification of online classroom conduct and high model computation owing to limited human supervision and complex target detection ...
LI Mengkun, YUAN Chen, WANG Qi, ZHAO Chong, CHEN Jingxuan, LIU Lifeng
doaj +1 more source
Helmet detection method based on improved YOLOv5
工程科学学报To address the challenge of low detection accuracy in existing safety helmet detection algorithms, particularly in scenarios with small targets, dense environments, and complex surroundings like construction sites, tunnels, and coal mines, we introduce ...
Gongyu HOU +5 more
doaj +1 more source
Small Object Detection Method for Bioimages Based on Improved YOLOv8n Model
Integrative Zoology, EarlyView.This study proposes a small object detection method for bioimages based on an improved YOLOv8n model. Experimental results demonstrate that the proposed approach effectively enhances detection precision, recall, and mAP50, offering a novel solution for the technical challenges in biological microscopy research.
Xiaoyu Li +7 more
wiley +1 more source