Results 121 to 130 of about 15,951 (227)
Application of YOLOv8 Architecture Optimized based on BiFPN in Leather Defect Recognition
Pige Kexue Yu GongchengTraditional image processing methods are difficult to effectively deal with complex backgrounds and defects with different scales. This paper proposed a YOLOv8 architecture optimization strategy that integrates Bidirectional Feature Pyramid Network ...
Hao TANG +3 more
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Vezetés támogató rendszer készítése
A dolgozatom célja egy vezetést támogató rendszer készítése, amely képes a közlekedési lámpák színének detektálására és felismerésére. Ezen felül dolgozat bemutatja a legismertebb deep learning alapú modelleket is.
Herczeg, László
core
SD-YOLOv8: SAM-Assisted Dual-Branch YOLOv8 Model for Tea Bud Detection on Optical Images
It is challenging to achieve accurate tea bud detection in optical images with complex backgrounds since distinguishing between the foregrounds and backgrounds of these images remains difficult.
Dasheng Wu, Fengya Xu, Xintong Zhang
core +1 more source
An appearance defect detection method for pre-fried potato chips based on EISW-YOLOv8n
Shipin yu jixieObjectiveTo address the low speed and efficiency as well as missed and false detection in manual inspection of defective products in pre-fried potato chip production, enhance the accuracy and speed of product defect identification, and ensure safe ...
LI Jianjia +3 more
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PicAxe: Extracting Figures from Structurally and Syntactically Heterogeneous Corpora of PDF Files
Journal of Open Research SoftwarePicAxe is open-source Python software that researchers can use to extract figures from corpora of PDF files that contain text and images. It is designed to extract figures from corpora that include both scanned and “born-digital” PDF files (structurally ...
Anna C. Guerrero +5 more
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Optimizing YOLOv8 for Parking Space Detection: Comparative Analysis of Custom YOLOv8 Architecture
CoRRParking space occupancy detection is a critical component in the development of intelligent parking management systems. Traditional object detection approaches, such as YOLOv8, provide fast and accurate vehicle detection across parking lots but can struggle with borderline cases, such as partially visible vehicles, small vehicles (e.g., motorcycles ...
Apar Pokhrel, Gia Dao
openaire +2 more sources
YOLOv8-SAB: Terahertz Image Detection Network Based on Shuffle Attention and YOLOv8
The limited accuracy of detecting small objects with current AI algorithm is becoming prominent under background of security check using low-resolved terahertz images.
Zhongmin Wang +6 more
core +1 more source
Performance Evaluation of YOLOv8 for Railway Switching Operation Safety Monitoring
Computer ScienceSafety in railway shunting operations requires continuous monitoring of train distance and speed to reduce the risk of operational accidents. In practice, shunting activities are still highly dependent on manual observation and verbal communication ...
Aulya Anggita Putri Selendra +2 more
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<p>This repository includes a YOLOv8 model that is trained for RCF Evaluation.</p> <p>The model is at the state of my master proposal, at this state it was only trained with generated Images on the smallest YOLOv8 model.
Dybeck, Jan Lutz
core +1 more source
In video-based fish surveys, species recognition plays a vital role in stock assessments, ecosystem analysis, production management, and protection of endangered species.
Ryan Caillouet +11 more
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