Object grasping of humanoid robot based on YOLO by Tian, Li, Thalmann, Nadia Magnenat, Thalmann, Daniel, Fang, Zhiwen, Zheng, Jianmin

“…We modify the open sourced objection detection software YOLO (You Only Look Once) v2 [2] and associate it with the visual sensor to make the sensor be able to detect not only the category of the target object but also the location with the help of a depth camera. …”
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Vehicle number plate detection and verification using yolo frameworks. by H. Hussein, S. Y. S., M. Ariff, M. H., A. Rahman, M. A.

“…This project concerns the application of two YOLO frameworks (YOLOv3 and YOLOv4) for accurate number plate detection. …”
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Unmanned aerial vehicle (UAV) object detection using YOLO detector by Guo, Huanchen

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Development of an automatic fruit picking robot based on object detection algorithm by Wan, Jiaxin

“…This dissertation aims to develop a robot system for automatic picking based on a real-time CNN (Convolutional Neural Network) algorithm, that is, YOLO (You Only Look Once). In this project version 3 of YOLO is used based on Keras to detect ripe fruits(kumquat) and RGB-D camera is used to obtain the physical coordinates of the fruits. …”
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Development of a safety monitoring system in building construction by Yeni Susanti

“…Another form of CNN, You Only Look Once (YOLO) was also used to detect the usage of mask. …”
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Real-Time Object Detection System for Hospital Assets Using YOLOv8 by Andalusia, Friska, Suakanto, Sinung, Hamami, Faqih, Mat Raffei, Anis Farihan, Nuryatno, Edi

“…Performance tests were carried out in this research using the YOLO architecture, especially on YOLOv8. one of the improvements of popular deep learning algorithms. …”
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Real-time personal protective equipment compliance detection using you only look once by Nurhanisah, Aminuddin, Nor Azuana, Ramli, Pratondo, Agus

“…Results indicate that YOLOv8 exceeds the performance of the other YOLO models, achieving precision, recall, and mAP of over 90% for all identified classes: HELMET, NOHELMET, SAFETYJACKET, NOSAFETYJACKET. …”
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Ultra-low power real-ime object detection based on quantized CNNs by Chew, Jing Wei

“…The full project is open-sourced and can be found in https://github.com/tehtea/QuickYOLO.…”
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Loh Fui Qi overcomes loss to achieve Telekom Malaysia Berhad Excellence Award by Noraini, Yusoff

“…GAMBANG, 29 October 2024 – “My life principle is ‘YOLO’ (You Only Live Once),” said Loh Fui Qi, 24, a graduate of Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), who recently received the Telekom Malaysia Berhad Excellence Award at the 19th UMPSA Convocation Ceremony.…”
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Development of a learning system for robot control by Tan, Chee Wee

“…This report will analyse the robustness of the YOLO model and TF network along with the capability of occlusion handling when combining both of them.…”
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Towards real-time monitoring of insect species populations by Venverloo, Titus, Duarte, Fábio

“…We leverage an image data source with 16 million instances and a recent improvement in the YOLO computer vision architecture to present a quick and open-access method to develop visual AI models to monitor insect species across climatic regions.…”
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Night vision with unmanned surface vehicle (USV) by Ang, Claryl Hui Ern

“…The types of object detection algorithms are Histogram of oriented gradients(HOG), Convolutional Neural Networks (CNNs) and You Only Look Once (YOLO).…”
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Object recognition and pose estimation in robotic grasping system by Zhou, Jiadong

“…Specifically, two problems addressed in the system are: i) identification and segmentation of the objects in the scene images with a fully convolutional neural network called YOLO, and ii) determination of the objects’ 6D poses by performing geometry-based methods on the point clouds. …”
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Road damage detection for autonomous driving vehicles using YOLOv8 and salp swarm algorithm by Nik Ahmad Farihin, Mohd Zulkifli, Zuriani, Mustaffa, Mohd Herwan, Sulaiman

“…The YOLOv8 models optimized using SSA are compared with the original YOLOv8 and other YOLO versions (YOLOv5, YOLOv9, and YOLOv10), demonstrating a 3.5% improvement in accuracy after hyperparameter optimization in detecting road damage.…”
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Real time multiple object tracking using deep features and localization information by Karunasekera, Hasith, Zhang, Handuo, Wang, Han

“…These dissimilarity values are used in Hungarian Algorithm [1] in the data association step for track identity assignment. We make use of YOLO [2] deep learning based object detector in the detection step from camera image feed. …”
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Demo abstract: real-time out-of-distribution detection on a mobile robot by Yuhas, Michael, Easwaran, Arvind

“…The robot navigates a miniature town using image data and a YOLO object detection network. We show that our OOD detector is capable of identifying OOD images in real-time on an embedded platform concurrently performing object detection and lane following. …”
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Small object recognition using machine learning techniques by Loy, Hui Juan

“…The first task of this project considered different models of varying accuracy and computation time, specifically You Only Look Once (YOLO) and Single Shot Detector (SSD), to a set criteria derived from pre-existing standards. …”
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Advancements and challenges: a comprehensive review of GAN-based models for the mitigation of small dataset and texture sticking issues in fake license plate recognition by Habeeb, Dhuha, Alhassani, A.H., Abdullah, Lili N., Der, Chen Soong, Alasadi, Loway Kauzm Qata

“…Notable achievements include high accuracy in License Plate Character Recognition (LPCR), advancements in generating new format license plates, and improvements in license plate detection using YOLO. The second focal point of this review centers on mitigating the texture sticking problem, a crucial concern in GAN-generated content. …”
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Video summarization of person of interest (POI) by Lit, Laura Pei Lin

“…Convolutional Neural Networks (CNN), such as Resnet 50, are used for classification and Multi-Task Cascaded Convolutional Network (MTCNN) are used for face recognition, while object detection model You Only Look Once (YOLO) is used for human extraction. K-means clustering is used for color extraction of POI clothes. …”
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Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT / by Swarnalatha, P. (Purushotham), 1977-, editor 656271, Prabu, S., 1981-, editor 656272, IGI Global (Online service) 631983

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