Search Results - YOLO-R object detection algorithm

A precise crop row detection algorithm in complex farmland for unmanned agricultural machines.

Authors: Ruan, Zhiwen Chang, Penghao Cui, Shangqing et al.

Source: Biosystems Engineering. Aug2023, Vol. 232, p1-12. 12p.

Subject Terms: *AGRICULTURE, *OBJECT recognition (Computer vision), *CROPS, *LEAST squares, *ALGORITHMS

Curved text detection and recognition in natural scenic images based on L-Yolov8 object detection algorithm.

Authors: Chhabra, Prachi Abidi, Ali Imam

Source: Signal, Image & Video Processing; Apr2025, Vol. 19 Issue 4, p1-10, 10p

多尺度特征聚合扩散和边缘信息增强的小目标检测算法. (Chinese)

Alternate Title: Multi-Scale Feature Aggregation Diffusion and Edge Information Enhancement Small Object Detection Algorithm. (English)

Authors: 江旺玉 王乐 姚叶鹏 et al.

Source: Journal of Computer Engineering & Applications; Apr2025, Vol. 61 Issue 7, p105-116, 12p

Multi-class Object Detection Algorithm Based on Convolutional Neural Network

Authors: Yanjuan Wang Wang Xiao Haijun Niu et al.

Source: 2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE). :286-289

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9074015
http://xplorestaging.ieee.org/ielx7/9055908/9074005/09074015.pdf?arnumber=9074015

Implementation of YOLO v7 algorithm in estimating traffic flow in Malang.

Authors: Saputri, Hanis Amalia Avrillio, Matthew Christofer, Louis et al.

Source: Procedia Computer Science. 2024, Vol. 245, p117-126. 10p.

Subject Terms: Object recognition (Computer vision), Traffic estimation, Traffic flow, Intelligent transportation systems, Machine learning, Traffic monitoring

Object Detection Using CNN

Authors: P.Bhaskar Naidu Pulakanam Anusha Gothula Naveena et al.

Source: International Journal of Innovative Science and Research Technology (IJISRT). :632-637

Pseudo Trained YOLO R_CNN Model for Weapon Detection with a Real-Time Kaggle Dataset

Authors: A, Ratna Raju Maddileti, Telugu J., Sirisha et al.

Source: International Journal of Integrated Engineering; Vol. 14 No. 7 (2022): Special Issue: Electrical Engineering; 131-145; 2600-7916; 2229-838X

Index Terms: Object detection, surveillance, computer vision, deep learning, YOLO, R-CNN., info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/10842
http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/10842/5548
http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/10842/5548

A real-time vehicle safety system by concurrent object detection and head pose estimation via stereo vision

Authors: Julio C. Rodriguez-Quiñonez Jonathan J. Sanchez-Castro Oscar Real-Moreno et al.

Source: Heliyon, Vol 10, Iss 16, Pp e35929- (2024)

Subject Terms: Head pose estimation, Object detection, Driver pose classification, Stereo vision, Landmark detection, Science (General), Q1-390, Social sciences (General), H1-99

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024119603; https://doaj.org/toc/2405-8440

Access URL: https://doaj.org/article/5d49eff221ef4472a3f7b599825b0987

Telecommunication Fiber Box Detection Using YOLO in Urban Environment.

Authors: Azmawi, Azib-Jazman Mohd-Isa, Wan-Noorshahida Rahman, Abdul Aziz Abdul

Source: International Journal on Advanced Science, Engineering & Information Technology; 2023, Vol. 13 Issue 6, p2136-2144, 9p

Subject Terms: DEEP learning, OBJECT recognition (Computer vision), MACHINE learning, TELECOMMUNICATION, COMPUTER vision, INTERNET access

Object Detection and Identification

Source: International Journal of Advanced Trends in Computer Science and Engineering. 10:1611-1618

Real-Time Multi-Object Detection Using Enhanced Yolov5-7S on Multi-GPU for High-Resolution Video.

Authors: Shaikh, Shakil A. Chopade, Jayant J. Sardey, Mohini Pramod

Source: International Journal of Image & Graphics; Mar2024, Vol. 24 Issue 2, p1-32, 32p

Pseudo Trained YOLO R_CNN Model for Weapon Detection with a Real-Time Kaggle Dataset

Authors: A. Ratna Raju Telugu Maddileti Sirisha. J et al.

Source: International Journal of Integrated Engineering. 14

Fast and Robust People Detection in RGB Images.

Authors: Dumitrescu, Florin Boiangiu, Costin-Anton Voncilă, Mihai-Lucian

Source: Applied Sciences (2076-3417); Feb2022, Vol. 12 Issue 3, p1225, 24p

Subject Terms: OBJECT recognition (Computer vision), FACE, CONVOLUTIONAL neural networks, TAGS (Metadata)

Leveraging YOLOv9 for Advanced Colorectal Polyp Detection.

Authors: Haider, Zeeshan Azar, Ahmad Taher ALmutlaq, Samah

Source: Engineering, Technology & Applied Science Research; Oct2025, Vol. 15 Issue 5, p27629-27639, 11p

Subject Terms: COLON polyps, OBJECT recognition (Computer vision), DETECTION algorithms, COMPUTER-aided diagnosis

YOLO: A Competitive Analysis of Modern Object Detection Algorithms for Road Defects Detection Using Drone Images.

Alternate Title: YOLO: تحليل تنافسي لخوارزميات الكشف عن األشياء الحديثة للكشف عن عيوب الطرق باستخدام صور الطائرات بدون طيار. (Arabic)

Authors: Sadhin, Amit Hasan Mohd Hashim, Siti Zaiton Samma, Hussein et al.

Source: Baghdad Science Journal; 2024, Vol. 21 Issue 6, p2167-2181, 15p

Subject Terms: OBJECT recognition (Computer vision), CONVOLUTIONAL neural networks, DETECTION algorithms, COMPUTER vision, TRANSPORTATION safety measures, INFRASTRUCTURE (Economics), TECHNOLOGICAL innovations

A Review of Object Detection Techniques in IoT-Based Intelligent Transportation Systems.

Authors: Wang, Jiaqi Su, Jian

Source: Computers, Materials & Continua; 2025, Vol. 84 Issue 1, p125-152, 28p

Subject Terms: OBJECT recognition (Computer vision), DATA privacy, TRAFFIC monitoring, TRAFFIC congestion, TRAFFIC signs & signals, INTELLIGENT transportation systems, TRAFFIC safety

Analyzing Real-Time Object Detection with YOLO Algorithm in Automotive Applications: A Review.

Authors: Gheorghe, Carmen Duguleana, Mihai Boboc, Razvan Gabriel et al.

Source: Computer Modeling in Engineering & Sciences (CMES); 2024, Vol. 141 Issue 3, p1939-1981, 43p

Subject Terms: OBJECT recognition (Computer vision), BIBLIOMETRICS, IMAGE processing, MOTOR vehicles, AUTONOMOUS vehicles

YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series.

Authors: Sapkota, Ranjan Flores-Calero, Marco Qureshi, Rizwan et al.

Source: Artificial Intelligence Review; Sep2025, Vol. 58 Issue 9, p1-83, 83p

Deep learning – enabled visual computing in construction: application and digital technology integration.

Authors: Perera, Prasad Perera, Srinath Jin, Xiaohua et al.

Source: Frontiers in Built Environment; 2025, p1-15, 15p

Subject Terms: DEEP learning, BUILDING design & construction, VISUAL perception, TECHNOLOGY convergence, CONSTRUCTION industry safety, OBJECT recognition (Computer vision), ARTIFICIAL intelligence

An Evaluation of Image Slicing and YOLO Architectures for Object Detection in UAV Images.

Authors: Telçeken, Muhammed Akgun, Devrim Kacar, Sezgin

Source: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 23, p11293, 16p

Subject Terms: DRONE aircraft, PIXELS