Results 101 to 110 of about 17,190 (230)
YOLOv5s-BC: an improved YOLOv5s-based method for real-time apple detection
Journal of Real-Time Image ProcessingTo address the issues associated with the existing algorithms for the current apple detection, this study proposes an improved YOLOv5s-based method, named YOLOv5s-BC, for real-time apple detection, in which a series of modifications have been introduced.
Jingfan Liu, Zhaobing Liu
openaire +2 more sources
A Novel Framework for Vehicle Detection and Tracking in Night Ware Surveillance Systems
IEEE AccessIn the field of traffic surveillance systems, where effective traffic management and safety are the primary concerns, vehicle detection and tracking play an important role.
Nouf Abdullah Almujally +7 more
doaj +1 more source
Current Directions in Biomedical EngineeringContinuous patient monitoring is a critical component in healthcare systems to ensure patient safety and well-being. Traditionally, this monitoring requires significant oversight by healthcare professionals, making it resourceintensive.
Kalashtari Niloofar +4 more
doaj +1 more source
Optimization of Vehicle Detection at Intersections Using the YOLOv5 Model [PDF]
This study aims to analyze and evaluate the performance of the YOLOv5 model in detecting vehicles at intersections to optimize traffic flow. The methods used in this research include training the YOLOv5 model with traffic datasets collected from various ...
Huizen, Roy Rudolf +2 more
core +2 more sources
GT-YOLO: Nearshore Infrared Ship Detection Based on Infrared Images
Journal of Marine Science and EngineeringTraditional visible light target detection is usually applied in scenes with good visibility, while the advantage of infrared target detection is that it can detect targets at nighttime and in harsh weather, thus being able to be applied to ship ...
Yong Wang +3 more
doaj +1 more source
Why is the video analytics accuracy fluctuating, and what can we do about it?
, 2022 It is a common practice to think of a video as a sequence of images (frames), and re-use deep neural network models that are trained only on images for similar analytics tasks on videos.
Chakradhar, Srimat +6 more
core
ВПЛИВ РОЗДІЛЬНОЇ ЗДАТНОСТІ ВХІДНИХ ЗОБРАЖЕНЬ НА ПАРАМЕТРИ МОДЕЛЕЙ YOLO ПРИ ДЕТЕКТУВАННІ ОБ’ЄКТІВ
Автоматизация технологических и бизнес-процессовУ статті представлено результати дослідження впливу роздільної здатності вхідних зображень на ключові параметри моделей глибокого навчання YOLOv5 і YOLOv8 при виконанні завдань детектування об’єктів.
Юрій Романович Щебель
doaj +1 more source
Comparative Study of YOLOv5, YOLOv7 and YOLOv8 for Robust Outdoor Detection [PDF]
Object detection is one of the most popular applications among young people, especially among millennials and generation Z. The use of object detection has become widespread in various aspects of daily life, such as face recognition, traffic management ...
Jamzuri, Eko Rudiawan +4 more
core +2 more sources
You Only Look Once v5 and Long Short-Term Memory Implementation for Crowd Anomaly Detection [PDF]
In Indonesia, 116,000 traffic accidents and 370,747 workplace accidents occurred in 2023, emphasizing the urgent need for effective surveillance systems for monitoring crowded areas such as public sidewalks, roads, workplaces, and school hallways.
Chrisandy, Nicholas +3 more
core +2 more sources
, 2023 In this study, the structural problems of the YOLOv5 model were analyzed emphatically. Based on the characteristics of fine defects in artificial leather, four innovative structures, namely DFP, IFF, AMP, and EOS, were designed. These advancements led to
Huang, Lin +4 more
core