Results 11 to 20 of about 15,951 (227)
YOLOv8-UC: An Improved YOLOv8-Based Underwater Object Detection Algorithm
IEEE AccessUnderwater object detection technology is widely used in fields such as ocean exploration. However, due to the complex underwater environment, issues like light attenuation and scattering lead to low detection accuracy, which fails to meet the requirements. To address these issues, we propose an improved YOLOv8n-based model called YOLOv8-UC. This model
Jinghua Huang +3 more
openaire +3 more sources
YOLOv8-UCB: Visual Detection of Pouch Battery Using Improved YOLOv8
IEEE AccessThe aluminum laminate pouch of pouch batteries is highly prone to deformation, which can cause various surface defects, thereby affecting their service life and potentially posing safety hazards. To address this problem, we propose an algorithm named YOLOv8-UCB for detecting surface defects in pouch batteries, which is based on the YOLOv8 model. First,
Hao Hao, Xiang Yu
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CNS-YOLOv8: An Improved YOLOv8-Based Defect Detection Method
ElectronicsSteel surface defect inspection plays an essential role in maintaining product quality and production safety in industrial manufacturing. However, existing detection methods still encounter difficulties in accurately identifying tiny defects, suppressing interference from complex backgrounds, and balancing detection accuracy with computational cost. To
Runhua Geng +6 more
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SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes
CoRRObject detection as part of computer vision can be crucial for traffic management, emergency response, autonomous vehicles, and smart cities. Despite significant advances in object detection, detecting small objects in images captured by distant cameras remains challenging due to their size, distance from the camera, varied shapes, and cluttered ...
Boshra Khalili, Andrew W. Smyth
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Object Detection using YOLOv8 : A Systematic Review [PDF]
Sistemasi: Jurnal Sistem InformasiThis study is a Systematic Literature Review (SLR) that comprehensively reviews the recent advances in YOLOv8-based object detection models and their implementations in various application fields, such as UAV aerial photography, fruit ripeness ...
Nugraha Asthra Megantara, Ema Utami
doaj +2 more sources
wrx990822/ESS-YOLOV8: ESS-YOLOV8
, 2023 <p>ESS-YOLOV8 for night-time site monitoring</p ...
wrx990822
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YOLOv8-FDD: A Real-Time Vehicle Detection Method Based on Improved YOLOv8
IEEE AccessAiming at the serious problems of missed detection, false detection and difficult deployment of existing target detection algorithms when applied to traffic scenes, a vehicle detection model YOLOv8-FDD with lower parameter count and higher accuracy is proposed in this paper.
Xiaojia Liu +3 more
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YOLOv8-E: An Improved YOLOv8 Algorithm for Eggplant Disease Detection
Applied SciencesDuring the developmental stages, eggplants are susceptible to diseases, which can impact crop yields and farmers’ economic returns. Therefore, timely and effective detection of eggplant diseases is crucial. Deep learning-based object detection algorithms can automatically extract features from images of eggplants affected by diseases. However, eggplant
Yuxi Huang, Hong Zhao, Jie Wang
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Surface Multiple Object Tracking: an Accurate HAT-YOLOv8-ADT Tracking Model
With the development of artificial intelligence tech-nology, Autonomous aerial vehicles (AAV) have the ability tosense the environment. Multiple object tracking (MOT) in AAVvideo is a very important vision task with a wide variety ofapplications. However,
Huiyu Zhou (20342400) +5 more
core +5 more sources
This project contains the implementation and experimental resources of YOLOv8-CAIR for camouflaged military object detection, supporting reproducible research in challenging visual ...
zhanjun
core +6 more sources