Look Once Version 8

YOLOv8 is a cutting-edge object detection model renowned for its speed and accuracy, currently a focus of research across diverse applications. Studies explore its performance enhancements through the integration of attention mechanisms, improved feature extraction techniques (like CSPNet and GFPN), and modifications to loss functions (e.g., PIoU). This versatile model shows significant promise for real-time object detection in various fields, including medical imaging, agriculture, and traffic monitoring, offering improved efficiency and accuracy compared to previous iterations.

Papers

October 28, 2024

CIB-SE-YOLOv8: Optimized YOLOv8 for Real-Time Safety Equipment Detection on Construction Sites
Xiaoyi Liu, Ruina Du, Lianghao Tan, Junran Xu, Chen Chen, Huangqi Jiang, Saleh Aldwais
Attention Mechanism Vision Based Look Once Version 8 Construction Environment Smart Helmet Protective Equipment

October 24, 2024

Comparing YOLO11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment
Ranjan Sapkota, Manoj Karkee
Instance Segmentation Precision Agriculture Look Once Version 8 YOLO Series Fruit Detection Orchard Environment Apple Fruitlet Mask Segmentation

October 23, 2024

Real-Time Weapon Detection Using YOLOv8 for Enhanced Safety
Ayush Thakur, Akshat Shrivastav, Rohan Sharma, Triyank Kumar, Kabir Puri
Computer Vision Detection Model Look Once Version 8 Surveillance System Safety Enhancement Weapon Detection

October 21, 2024

P-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving
Mohamed R. Elshamy, Heba M. Emara, Mohamed R. Shoaib, Abdel-Hameed A. Badawy
Look Once Version 8 Real Time Detection Driving Context Driver Distraction

October 14, 2024

Early Diagnoses of Acute Lymphoblastic Leukemia Using YOLOv8 and YOLOv11 Deep Learning Models
Alaa Awad, Mohamed Hegazy, Salah A. Aly
Deep Learning Deep Learning Model Data Detection State of the Art Deep Look Once Version 8 Early Diagnosis Acute Lymphoblastic Leukemia

October 1, 2024

Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images
Rui-Yang Ju, Chun-Tse Chien, Enkaer Xieerke, Jen-Shiun Chiang
Contextual Representation Look Once Version 8 Fracture Detection Look Once, Version 3

September 27, 2024

YOLOv8-ResCBAM: YOLOv8 Based on An Effective Attention Module for Pediatric Wrist Fracture Detection
Rui-Yang Ju, Chun-Tse Chien, Jen-Shiun Chiang
Attention Module Look Once Version 8 Convolutional Block Attention Fracture Detection

September 10, 2024

A Semantic Segmentation Approach on Sweet Orange Leaf Diseases Detection Utilizing YOLO
Sabit Ahamed Preanto (4IR Research Cell Daffodil International University, Dhaka, Bangladesh), Md. Taimur Ahad (4IR Research Cell Daffodil International University, Dhaka, Bangladesh), Yousuf Rayhan Emon (4IR Research Cell Daffodil International University, Dhaka, Bangladesh), Sumaya Mustofa (4IR Research Cell Daffodil International University, Dhaka, Bangladesh), Md Alamin (4IR Research Cell Daffodil International University, Dhaka, Bangladesh)
Semantic Segmentation Disease Detection Look Once Version 8

August 28, 2024

What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector
Muhammad Yaseen
Fire YOLOv5 Attains Look Once Version 8 Depth Analysis State of the Art Object

August 11, 2024

Performance Evaluation of YOLOv8 Model Configurations, for Instance Segmentation of Strawberry Fruit Development Stages in an Open Field Environment
Abdul-Razak Alhassan Gamani, Ibrahim Arhin, Adrena Kyeremateng Asamoah
Ground Truth Instance Segmentation YOLOv5 Model Segmentation Accuracy Performance Evaluation Look Once Version 8 Berry Picking

August 8, 2024

August 7, 2024

Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8
Fan Zhao, Yijia Chen, Dianhan Xi, Yongying Liu, Jiaqi Wang, Shigeru Tabeta, Katsunori Mizuno
Deep Learning UAV Image Look Once Version 8 YOLO Object Super Resolution Reconstruction Hermit Crab

July 30, 2024

A Comparative Analysis of YOLOv5, YOLOv8, and YOLOv10 in Kitchen Safety
Athulya Sundaresan Geetha, Muhammad Hussain
Comparative Study YOLOv5 Model Fire YOLOv5 Attains Look Once Version 8 YOLO Model

July 19, 2024

Enhancing Layout Hotspot Detection Efficiency with YOLOv8 and PCA-Guided Augmentation
Dongyang Wu, Siyang Wang, Mehdi Kamal, Massoud Pedram
Soft Augmentation Look Once Version 8 Look Once, Version 3 Hotspot Detection

July 10, 2024

Transfer Learning for Wildlife Classification: Evaluating YOLOv8 against DenseNet, ResNet, and VGGNet on a Custom Dataset
Subek Sharma, Sisir Dhakal, Mansi Bhavsar
Neural Network Convolutional Neural Network Deep Learning Model Classification Code Look Once Version 8 Environmental Conservation Wildlife Datasets Endangered Specie Wildlife Monitoring

July 3, 2024

July 2, 2024

Research on target detection method of distracted driving behavior based on improved YOLOv8
Shiquan Shen, Zhizhong Wu, Pan Zhang
Attention Mechanism DH Research BEHAVIOR Explanation Deep Learning Based Look Once Version 8 Deep Learning Technology

July 1, 2024

Comprehensive Performance Evaluation of YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments
Ranjan Sapkota, Zhichao Meng, Martin Churuvija, Xiaoqiang Du, Zenghong Ma, Manoj Karkee
Data Detection YOLOv5 Model Visual Sensor Look Once Version 8 Detection Algorithm Orchard Environment

Look Once Version 8

Papers

CIB-SE-YOLOv8: Optimized YOLOv8 for Real-Time Safety Equipment Detection on Construction Sites

Comparing YOLO11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment

Real-Time Weapon Detection Using YOLOv8 for Enhanced Safety

P-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving

Early Diagnoses of Acute Lymphoblastic Leukemia Using YOLOv8 and YOLOv11 Deep Learning Models

Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images

YOLOv8-ResCBAM: YOLOv8 Based on An Effective Attention Module for Pediatric Wrist Fracture Detection

A Semantic Segmentation Approach on Sweet Orange Leaf Diseases Detection Utilizing YOLO

What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Performance Evaluation of YOLOv8 Model Configurations, for Instance Segmentation of Strawberry Fruit Development Stages in an Open Field Environment

SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes

Fall Detection for Industrial Setups Using YOLOv8 Variants

Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8

A Comparative Analysis of YOLOv5, YOLOv8, and YOLOv10 in Kitchen Safety

Enhancing Layout Hotspot Detection Efficiency with YOLOv8 and PCA-Guided Augmentation

Transfer Learning for Wildlife Classification: Evaluating YOLOv8 against DenseNet, ResNet, and VGGNet on a Custom Dataset

Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture Detection

YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision

Research on target detection method of distracted driving behavior based on improved YOLOv8

Comprehensive Performance Evaluation of YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments