OGS-YOLOv8: Coffee Bean Maturity Detection Algorithm Based on Improved YOLOv8
This study presents the OGS-YOLOv8 model for coffee bean maturity identification, designed to enhance accuracy in identifying coffee beans at different maturity stages in complicated contexts, utilizing an upgraded version of YOLOv8. Initially, the ODConv (full-dimensional dynamic convolution) substitutes the convolutional layers in the backbone and ...
Nannan Zhao, Yongsheng Wen
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SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes
Object 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 ...
Khalili, Boshra, Smyth, Andrew W.
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ESC-YOLOv8: An enhanced deep learning framework for semantic understanding of single-line diagram imagery. [PDF]
Bhanbhro H +6 more
europepmc +1 more source
A lightweight multi-scale detection framework for X-ray images with supervised contrastive learning. [PDF]
Diao Q +6 more
europepmc +1 more source
Working face status detection in coal mine based on YOLOv8-EST. [PDF]
Wang H +5 more
europepmc +1 more source
You Only Look Once (YOLO) based machine learning algorithm for real-time detection of loop-mediated isothermal amplification (LAMP) diagnostics. [PDF]
Mezgebo B +8 more
europepmc +1 more source
Deep learning framework for timely detection and classification of chili leaf diseases and pests. [PDF]
Kanaparthi KR, Ilango SS.
europepmc +1 more source
FID-YOLO: A pedestrian detection model integrating multispectral information in complex environments. [PDF]
Yang D, Zhang X, Wang P.
europepmc +1 more source
Deep learning pipeline for trapezium segmentation in thumb radiographs. [PDF]
Maigné V +5 more
europepmc +1 more source
SDC-YOLOv8: An Improved Algorithm for Road Defect Detection Through Attention-Enhanced Feature Learning and Adaptive Feature Reconstruction. [PDF]
Yang H, Song Y, Liang Y, Tang E, Cao D.
europepmc +1 more source

