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Underwater small target detection under YOLOv8-LA model
In the realm of marine environmental engineering, the swift and accurate detection of underwater targets is of considerable significance. Recently,...
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Fracture detection in pediatric wrist trauma X-ray images using YOLOv8 algorithm
Hospital emergency departments frequently receive lots of bone fracture cases, with pediatric wrist trauma fracture accounting for the majority of...
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YOLOv8-CML: a lightweight target detection method for color-changing melon ripening in intelligent agriculture
Color-changing melon is an ornamental and edible fruit. Aiming at the problems of slow detection speed and high deployment cost for Color-changing...
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YOLOv8-PD: an improved road damage detection algorithm based on YOLOv8n model
Road damage detection is an crucial task to ensure road safety. To tackle the issues of poor performance on multi-scale pavement distresses and high...
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An enhanced real-time human pose estimation method based on modified YOLOv8 framework
The objective of human pose estimation (HPE) derived from deep learning aims to accurately estimate and predict the human body posture in images or...
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Vegetable disease detection using an improved YOLOv8 algorithm in the greenhouse plant environment
This study introduces YOLOv8n-vegetable, a model designed to address challenges related to imprecise detection of vegetable diseases in greenhouse...
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A streamlined approach for intelligent ship object detection using EL-YOLO algorithm
Maritime objects frequently exhibit low-quality and insufficient feature information, particularly in complex maritime environments characterized by...
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Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI
Common beans (CB), a vital source for high protein content, plays a crucial role in ensuring both nutrition and economic stability in diverse...
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Quantification of cardiac capillarization in basement-membrane-immunostained myocardial slices using Segment Anything Model
Decreased myocardial capillary density has been reported as an important histopathological feature associated with various heart disorders....
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A robust self-supervised approach for fine-grained crack detection in concrete structures
This work addresses a critical issue: the deterioration of concrete structures due to fine-grained cracks, which compromises their strength and...
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High-precision object detection network for automate pear picking
To address the urgent need for agricultural intelligence in the face of increasing agricultural output and a shortage of personnel, this paper...
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GEB-YOLO: a novel algorithm for enhanced and efficient detection of foreign objects in power transmission lines
Detecting foreign objects in power transmission lines is essential for mitigating safety risks and maintaining line stability. Practical detection,...
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Lightweight bobbin yarn detection model for auto-coner with yarn bank
The automated replacement of empty tubes in the yarn bank is a critical step in the process of automatic winding machines with yarn banks, as the...
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A lightweight network model designed for alligator gar detection
When using advanced detection algorithms to monitor alligator gar in real-time in wild waters, the efficiency of existing detection algorithms is...
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Investigation of deep learning model for predicting immune checkpoint inhibitor treatment efficacy on contrast-enhanced computed tomography images of hepatocellular carcinoma
Although the use of immune checkpoint inhibitors (ICIs)-targeted agents for unresectable hepatocellular carcinoma (HCC) is promising, individual...
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Development of a real-time cattle lameness detection system using a single side-view camera
Recent advancements in machine learning and deep learning have revolutionized various computer vision applications, including object detection,...
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A deep learning-based approach for axle counter in free-flow tolling systems
Enhancements in the structural and operational aspects of transportation are important for achieving high-quality mobility. Toll plazas are commonly...
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Task design for crowdsourced glioma cell annotation in microscopy images
Crowdsourcing has been used in computational pathology to generate cell and cell nuclei annotations for machine learning. Herein, we broaden its...
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Toward surface defect detection in electronics manufacturing by an accurate and lightweight YOLO-style object detector
In electronics manufacturing, surface defect detection is very important for product quality control, and defective products can cause severe...
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Estimation of the amount of pear pollen based on flowering stage detection using deep learning
Pear pollination is performed by artificial pollination because the pollination rate through insect pollination is not stable. Pollen must be...
