A Review of Yolo Algorithm Developments

You Only Look Once: Unified, Real-Time Object Detection

Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.91 · Cited by 53,803

YOLOv4: Optimal Speed and Accuracy of Object Detection

Bochkovskiy, A., Wang, C.-Y., & Liao, H.-Y. M. (2020) · arXiv · doi:10.48550/arxiv.2004.10934 · Cited by 10,307

Object Detection With Deep Learning: A Review

Zhao, Z.-Q., Zheng, P., Xu, S.-T., & Wu, X. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2018.2876865 · Cited by 5,545

Apple detection during different growth stages in orchards using the improved YOLO-V3 model

Tian, Y., Yang, G., Wang, Z., Wang, H., Li, E., & Liang, Z. (2019) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2019.01.012 · Cited by 1,043

A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector

Laroca, R., Severo, E. B., Junior, L. A. Z., Oliveira, L. S., Gonçalves, G. R., Schwartz, W. R., & Menotti, D. (2018) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2018.8489629 · Cited by 670

YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers

Huang, R., Pedoeem, J., & Chen, C. (2018) · 2018 IEEE International Conference on Big Data (Big Data) · doi:10.1109/bigdata.2018.8621865 · Cited by 622

A Review of Object Detection Models Based on Convolutional Neural Network

Sultana, F., Sufian, A., & Dutta, P. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-4288-6_1 · Cited by 327

A review of object detection based on convolutional neural network

Wang, Z., & Liu, J. (2017) · Chinese Control Conference (CCC) · doi:10.23919/chicc.2017.8029130 · Cited by 268

A YOLO-Based Traffic Counting System

Lin, J., & Sun, M.-T. (2018) · Conference on Technologies and Applications of Artificial Intelligence (TAAI) · doi:10.1109/taai.2018.00027 · Cited by 116

A Vehicle Detection Method for Aerial Image Based on YOLO

Lu, J., Ma, C., Li, L., Xing, X., Zhang, Y., Wang, Z., & Xu, J. (2018) · Journal of Computer and Communications · doi:10.4236/jcc.2018.611009 · Cited by 101

YOLO-MFX: lightweight YOLO with improved flame detection for small targets

Yao, Q., Xu, H., Feng, Y., Wang, X., & Zhang, C. (2025) · Journal of Real-Time Image Processing · doi:10.1007/s11554-025-01666-2 · Cited by 9

Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems

Dilmi, W., Ferik, S. E., Ouerdane, F., Khaldi, M. K., & Saif, A. A. (2025) · Sensors · doi:10.3390/s25082572 · Cited by 14

CBLN-YOLO: An Improved YOLO11n-Seg Network for Cotton Topping in Fields

Xie, Y., & Chen, L. (2025) · Agronomy · doi:10.3390/agronomy15040996 · Cited by 12

A non-destructive automatic pavement damage detection scheme based on end-to-end neural networks with multi-level attention mechanism

Liu, Y., Wang, C., Zhang, Y., Sun, X., Du, C., Xie, D., & Tian, Y. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.111246 · Cited by 9

Application of Mask R-CNN for automatic recognition of teeth and caries in cone-beam computerized tomography

Ma, Y., Al‐Aroomi, M. A., Zheng, Y., Ren, W., Liu, P., Wu, Q., Liang, Y., & Jiang, C. (2025) · BMC Oral Health · doi:10.1186/s12903-025-06293-8 · Cited by 9

Host profile photos and listing performance: The role of visual cue complexity in peer-to-peer accommodation

Bi, J.-W., Wei, Z., & Han, T.-Y. (2025) · Tourism Management · doi:10.1016/j.tourman.2025.105219 · Cited by 9

YOLOv8-DBW: An Improved YOLOv8-Based Algorithm for Maize Leaf Diseases and Pests Detection

Gan, X., Cao, S., Wang, J., Wang, Y., & Hou, X. (2025) · Sensors · doi:10.3390/s25154529 · Cited by 9

Detection of Surface Defects in Steel Based on Dual-Backbone Network: MBDNet-Attention-YOLO

Wang, X., Ma, S., Wu, S., Li, Z., Cao, J., & Xu, P. (2025) · Sensors · doi:10.3390/s25154817 · Cited by 9

Real‐Time Automatic Detection of Nutrient Deficiency in Lettuce Plants With New YOLOV12 model

Bakır, Ç., & Gezer, A. (2025) · Journal of Sensors · doi:10.1155/js/5592225 · Cited by 9

YOLO-light-pruned: A lightweight model for monitoring maize seedling count and leaf age using near-ground and UAV RGB images

Jiang, T., Li, L., Zhang, Z., Yu, X., Zhu, Y., Li, L., Liu, Y.-D., Bai, Y., Tang, Z., Liu, S., et al. (2025) · Artificial Intelligence in Agriculture · doi:10.1016/j.aiia.2025.10.002 · Cited by 9

A novel YOLOv11-based framework with dynamic cross-scale context aggregation for high-performance blood cell classification

Eliwa, E. H. I., & El‐Hafeez, T. A. (2025) · Egyptian Informatics Journal · doi:10.1016/j.eij.2025.100851 · Cited by 9

SteelQC-VGG: a deep learning-driven quality control system for automated surface defect classification in steel manufacturing

Chaieb, M., Mayara, H., Hamdoun, W., Gabsi, M., & Hilali‐Jaghdam, I. (2025) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-025-02742-x · Cited by 9

SEAF-Net: A Sustainable and Lightweight Attention-Enhanced Detection Network for Underwater Fish Species Recognition

Han, Y.-S., Zhao, S.-L., Chen, C., Cui, K., Hu, P., & Wang, R.-F. (2026) · Journal of Marine Science and Engineering · doi:10.3390/jmse14040351 · Cited by 9

Real-time Traffic Surveillance and Detection using Deep Learning and Computer Vision Techniques

Tiwari, R., Rumaney, A. H., & Saravanan, M. (2023) · International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN) · doi:10.1109/vitecon58111.2023.10157694 · Cited by 9

Crop and Weed Detection in Sunflower and Sugarbeet fields Using Single Shot Detectors

Abuhani, D. A., Hussain, M. H., Khan, J., ElMohandes, M., & Zualkernan, I. A. (2023) · IEEE International Conference on Omni-layer Intelligent Systems (COINS) · doi:10.1109/coins57856.2023.10189257 · Cited by 9

An Exposimetric Electromagnetic Comparison of Mobile Phone Emissions: 5G versus 4G Signals Analyses by Means of Statistics and Convolutional Neural Networks Classification

Miclăuş, S., Deaconescu, D. B., Vătămanu, D., & Buda, A. M. (2023) · Technologies · doi:10.3390/technologies11050113 · Cited by 11

Smart insect monitoring based on YOLOV5 case study: Mediterranean fruit fly Ceratitis capitata and Peach fruit fly Bactrocera zonata

Slim, S. O., Abdelnaby, I. A., Moustafa, M. S., Zahran, M., Dahi, H., & Yones, M. (2023) · The Egyptian Journal of Remote Sensing and Space Science · doi:10.1016/j.ejrs.2023.10.001 · Cited by 9

Motorcycle Detection and Collision Warning Using Monocular Images from a Vehicle

Shabestari, Z. B., Ahmadabadian, A. H., & Fabio Remondino, A. (2023) · Remote Sensing · doi:10.3390/rs15235548 · Cited by 12

BIM and Machine Learning (ML) Integration in Design Coordination: Using ML to automate object classification for clash detection

Ahmadpanah, H., Haidar, A., & Latifi, S. M. (2023) · eCAADe proceedings · doi:10.52842/conf.ecaade.2023.2.619 · Cited by 9

IDP-Net: Industrial defect perception network based on cross-layer semantic information guidance and context concentration enhancement

Li, G., Zhao, S., Li, M., Zhou, M., & Ying, Z. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.107677 · Cited by 9

Neural Network Based Data Encryption: A Comparison Study among DES, AES, and HE Techniques

Yeow, S.-Q., & Ng, K.-W. (2023) · JOIV International Journal on Informatics Visualization · doi:10.30630/joiv.7.3-2.2336 · Cited by 9

Object detection based deinterleaving of radar signals using deep learning for cognitive EW

Kocamış, M. B., Orduyılmaz, A., & Taşcıoğlu, S. (2024) · Signal Image and Video Processing · doi:10.1007/s11760-024-03428-2 · Cited by 9

METRIC: Toward a Drone-based Cyber-Physical Traffic Management System

Ma, X., Liang, X., Ning, M., & Radu, A. (2022) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc53654.2022.9945433 · Cited by 9

Eye Recognition by YOLO for Inner Canthus Temperature Detection in the Elderly Using a Transfer Learning Approach

Ghourabi, M., Mourad-Chehade, F., & Chkeir, A. (2023) · Sensors · doi:10.3390/s23041851 · Cited by 9

Real Time Detection and Tracking in Multi Speakers Video Conferencing

Affes, N., Ktari, J., Amor, N. B., Frikha, T., & Hamam, H. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-35501-1_11 · Cited by 9

Training SAR Ship Detectors From Scratch with Customized Convolutional Neural Network

Li, J., Xu, C., Cheng, P., Chi, C., Yu, L., Yu, Z., & Xu, S. (2023) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2023.3308096 · Cited by 9

SDPH: a new technique for spatial detection of path holes from huge volume high-resolution raster images in near real-time

Taşyürek, M. (2024) · Journal of Real-Time Image Processing · doi:10.1007/s11554-024-01451-7 · Cited by 9

YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once SeriesPreprint

Sapkota, R., Qureshi, R., Flores-Calero, M. J., Badgujar, C., Nepal, U., Poulose, A., Zeno, P. J., Vaddevolu, U. B. P., Yan, P. H., & Karkee, M. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4874098 · Cited by 9

The investigation of constraints in implementing robust AI colorectal polyp detection for sustainable healthcare system

Bian, H., Jiang, M., & Qian, J. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288376 · Cited by 8

LED-Display Defect Detection Based on YOLOv5 and Transformer

Park, J., Bae, J., Lim, J., Kim, B., & Jeong, J. (2023) · IEEE Access · doi:10.1109/access.2023.3325487 · Cited by 8

Comparison Analysis of YOLO, ResNet, and EfficientNet for contagious skin diseases

Ferdinand, F., Austin, F., & Sadrawi, M. (2023) · International Conference on Cybernetics and Intelligent System (ICORIS) · doi:10.1109/icoris60118.2023.10352306 · Cited by 8

Outdoor Obstacle Detection for Visually Impaired using AI Technique

Bougheloum, L., Salah, M. B., & Bettayeb, M. (2024) · ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) · doi:10.1109/icetsis61505.2024.10459374 · Cited by 8

An efficient center-based method for real-time pig posture recognition and tracking

Mattina, M., Benzinou, A., Nasreddine, K., & Richard, F. (2024) · Applied Intelligence · doi:10.1007/s10489-024-05439-5 · Cited by 9

Mechanism-driven improved SVMD: an indirect approach for rail corrugation detection using axle box acceleration

Liu, P., Yang, J., Liu, C., Zhao, Y., & hu, Z. (2024) · Measurement Science and Technology · doi:10.1088/1361-6501/ad56ae · Cited by 8

Pose estimation algorithm based on point pair features using PointNet + +

Chen, Y., Li, Z., Li, Q., & Zhang, M. (2024) · Complex & Intelligent Systems · doi:10.1007/s40747-024-01508-x · Cited by 8

Side-Scan Sonar Image Generator Based on Diffusion Models for Autonomous Underwater Vehicles

Zhang, F., Hou, X., Wang, Z., Cheng, C., & Tan, T. (2024) · Journal of Marine Science and Engineering · doi:10.3390/jmse12081457 · Cited by 9

A Lightweight Method for Ripeness Detection and Counting of Chinese Flowering Cabbage in the Natural Environment

Wu, M., Yuan, K., Shui, Y., Wang, Q., & Zhao, Z. (2024) · Agronomy · doi:10.3390/agronomy14081835 · Cited by 8

Deployment and Verification of Custom Autonomous Low-Budget IoT Devices for Image Feature Extraction in Wheat

Martinez, F., Romaine, J. B., Manzano, J. M., Ierardi, C., & Millán, P. (2024) · IEEE Access · doi:10.1109/access.2024.3453993 · Cited by 11

FMAW-YOLOv5s: A deep learning method for detection of methane plumes using optical images

Zhang, Q., Bi, S., Xie, Y., & Liu, G. (2024) · Applied Ocean Research · doi:10.1016/j.apor.2024.104217 · Cited by 8

A novel method: YOLO-CE and 3D point cloud-based feature extraction for welding seams of tower bases

Pan, H., Wang, L., Fu, Y., Jia, B., & Chen, L. (2024) · Measurement Science and Technology · doi:10.1088/1361-6501/ad89e8 · Cited by 8

Tracking 3D motion of instruments in microsurgery: A comparative study of stereoscopic marker-based vs. deep learning method for objective analysis of surgical skills

Franco-González, I. T., Lappalainen, N., & Bednarik, R. (2024) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2024.101593 · Cited by 8

Adolescent mental health state assessment framework by combining YOLO with random forest

Wan, M., & Zou, S. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.112497 · Cited by 8

Enhancing pollinator conservation: Monitoring of bees through object recognition

Alex, A. J., Barnes, C. M., Machado, P., Ihianle, I. K., Markó, G., Bencsik, M., & Bird, J. J. (2024) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2024.109665 · Cited by 8

Benchmarking YOLO Models for Intracranial Hemorrhage Detection Using Varied CT Data Sources

Tapia, G., Allende‐Cid, H., Chabert, S., Mery, D., & Rodrigo Salas, F. (2024) · IEEE Access · doi:10.1109/access.2024.3510517 · Cited by 8

Corn pose estimation using 3D object detection and stereo images

Gao, Y.-L., Li, Z., Hong, Q.-Q., Li, B., & Zhang, L.-F. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.110016 · Cited by 8

Framework for Apple Phenotype Feature Extraction Using Instance Segmentation and Edge Attention Mechanism

Wang, Z., Cui, W., Huang, C., Zhou, Y., Zhao, Z., Yue, Y., Dong, X., & Lv, C. (2025) · Agriculture · doi:10.3390/agriculture15030305 · Cited by 9

Intelligent fault diagnosis of rolling bearing based on time–frequency processing and DLKA-YOLO

Chen, Z., Zhang, H., Tao, Z., & Wang, Y. (2025) · Franklin Open · doi:10.1016/j.fraope.2025.100228 · Cited by 8

MDD-YOLOv8: A Multi-Scale Object Detection Model Based on YOLOv8 for Synthetic Aperture Radar Images

Liu, J., Liu, X., Chen, H., & Luo, S. (2025) · Applied Sciences · doi:10.3390/app15042239 · Cited by 10

An efficient lightweight detection model for steel surface defects with dynamic deformable head

Li, C., Wen, Z., Huang, H., Mo, H., Zhou, S., & Zhu, Z. (2025) · Engineering Research Express · doi:10.1088/2631-8695/adbab4 · Cited by 8

IMRMB-Net: A lightweight student behavior recognition model for complex classroom scenarios

Feng, C., Luo, Z., Kong, D., Ding, Y., & Liu, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0318817 · Cited by 9

Advancing Object Detection: A Narrative Review of Evolving Techniques and Their Navigation Applications

Tennekoon, S., Wedasingha, N., Welhenge, A. M., Abhayasinghe, N., & Murray, I. D. (2025) · IEEE Access · doi:10.1109/access.2025.3551686 · Cited by 8

Forest Fire Detection Based on Enhanced Feature Information Capture and Long-Range Dependency

Lin, W., Gao, J., & Huang, J. (2025) · IEEE Access · doi:10.1109/access.2025.3560192 · Cited by 10

Experimental and machine learning optimization of ultrasonic-enhanced heat convection in a spiral heater

Zade, F. A., Abedini, R., Abdullah, A., & Passandideh‐Fard, M. (2025) · Journal of Thermal Analysis and Calorimetry · doi:10.1007/s10973-025-14250-4 · Cited by 8

Deep Learning-Based Classification of Canine Cataracts from Ocular B-Mode Ultrasound Images

Park, S., Go, S., Kim, S., & Shim, J. (2025) · Animals · doi:10.3390/ani15091327 · Cited by 12

Powder particle classification with scanning electron microscopy images using machine learning techniques

Malashin, I. P., & Martysyuk, D. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.128001 · Cited by 8

Automated Detection and Localization of Wind Turbine Deformations Through YOLO11 and UAV Systems

Bakırcı, M., & Avran, M. N. (2025) · International Russian Smart Industry Conference (SmartIndustryCon) · doi:10.1109/smartindustrycon65166.2025.10986124 · Cited by 8

A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments

Shen, X., Li, S., Fen, Q., & Yao, L. (2025) · Smart Agricultural Technology · doi:10.1016/j.atech.2025.101055 · Cited by 8

Computationally Enhanced UAV-Based Real-Time Pothole Detection Using YOLOv7-C3ECA-DSA Algorithm

Radzi, S. F. M., Rahman, M. A. A., Yusof, K. A., Haniff, N. S. M., & Rahmat, R. F. (2025) · IEEE Access · doi:10.1109/access.2025.3573651 · Cited by 8

Lightweight instance segmentation for rapid leakage detection in shield tunnel linings under extreme low-light conditions

Chen, Y., Xu, B., Jiang, Y., Xu, Z., Wang, X., Liu, T., & Zhu, W. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106368 · Cited by 8

Seamless optical cloud computing across edge-metro network for generative AI

Xing, S., Sun, A., Wang, C., Wang, Y., Dong, B., Hu, J., Deng, X., Yan, A., Liu, Y., Hu, F., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61495-6 · Cited by 8

MLS-YOLOv11: a strip steel surface defect detection model based on multi-layer feature fusion and shared convolution

Lei, J., Wang, J., Li, Y., Zhang, M., Zhao, R., & Sun, H. (2025) · Measurement Science and Technology · doi:10.1088/1361-6501/aded2b · Cited by 8

The future of robotic disassembly: a systematic review of techniques and applications in the age of AI

Ameur, S., Tabaa, M., Hidila, Z., Hamlich, M., Karboub, K., & Béarée, R. (2025) · Frontiers in Robotics and AI · doi:10.3389/frobt.2025.1584657 · Cited by 8

Benchmarking YOLOv8–YOLOv12 for Real-Time Object Detection on Single-Board Computers

Shalash, O., Khatab, E., El-Agamy, A., Elmokadem, L., Abouelsaad, Y., Zaki, J., El-Sayed, M., & Said, H. (2026) · Machine Learning and Knowledge Extraction · doi:10.3390/make8070204 · Cited by 8

Blood Cells Counting and Localisation through Deep Learning Object Detection

Mercaldo, F., Martinelli, F., Santone, A., & Cesarelli, M. (2022) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata55660.2022.10020952 · Cited by 9

Traffic Sign Detection and Recognition Using YOLOv5 and Its Versions

Lebumfacil, A., & Abu, P. A. R. (2022) · IEEE International Conference on Cognitive Mobility (CogMob) · doi:10.1109/cogmob55547.2022.10118112 · Cited by 8

Lightweight real-time lane detection algorithm based on ghost convolution and self batch normalization

Yang, X., Ji, W., Zhang, S., Song, Y., He, L., & Xue, H. (2023) · Journal of Real-Time Image Processing · doi:10.1007/s11554-023-01323-6 · Cited by 8

Automated skin burn detection and severity classification using YOLO Convolutional Neural Network Pretrained Model

Ferdinand, J., Chow, D. V., & Prasetyo, S. Y. (2023) · E3S Web of Conferences · doi:10.1051/e3sconf/202342601076 · Cited by 8

A swin transformer based bird nest detection approach with unmanned aerial vehicle images for power distribution and pole towers

Meng, Y., Song, Y., Chen, Y., Zhang, X., Wu, M., & Du, B. (2023) · IET Cyber-Physical Systems Theory & Applications · doi:10.1049/cps2.12073 · Cited by 8

An infrared small target detection model via Gather-Excite attention and normalized Wasserstein distance

Sun, K., Huo, J., Liu, Q., & Yang, S. (2023) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2023842 · Cited by 8

Design considerations of a perception system in functional safety operated and highly automated mobile machines

Lee, C., Schätzle, S., Lang, S. A., & Oksanen, T. (2023) · Smart Agricultural Technology · doi:10.1016/j.atech.2023.100346 · Cited by 8

INSTANCE SEGMENTATION OF LIDAR DATA WITH VISION TRANSFORMER MODEL IN SUPPORT INUNDATION MAPPING UNDER FOREST CANOPY ENVIRONMENT

Yang, J. S., Mendili, L. E., Khayer, Y., McArdle, S., & Beni, L. H. (2023) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xlviii-1-w2-2023-203-2023 · Cited by 8

A Method for Visualization of Images by Photon-Counting Imaging Only Object Locations under Photon-Starved Conditions

Ha, J.-U., Kim, H., Cho, M., & Lee, M. (2023) · Electronics · doi:10.3390/electronics13010038 · Cited by 8

Multiview-based method for high-throughput quality classification of germinated oil palm seeds

Ng, J., Liao, I. Y., Jelani, M. F., Chen, Z. Y., Wong, C. K., & Wong, W. C. (2024) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2024.108684 · Cited by 8

An Efficient Foreign Object Recognition Model in Rail Transit Based on Real-Time Railway Region Extraction and Object Detection

Feng, Z.-C., Yang, J., Li, F., Chen, Z., Kang, Z., & Jia, L. (2024) · Journal of Electrical Engineering and Technology · doi:10.1007/s42835-024-01805-y · Cited by 8

Accurate and real-time visual detection algorithm for environmental perception of USVS under all-weather conditions

Dong, K., Liu, T., Shi, Z., & Zhang, Y. (2024) · Journal of Real-Time Image Processing · doi:10.1007/s11554-024-01417-9 · Cited by 9

Real-Time Reconstruction of 3-D Tactile Motion Field via Multitask Learning

Liu, J., Yu, H., Zhao, C., Liu, W., Ma, D., & Wang, W. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3398136 · Cited by 8

Heuristic data-driven anchor generation for UAV-based maritime rescue image object detection

Zhao, B., Song, R., Zhou, Y., Yu, L., Zhang, X., & Liu, J. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e30485 · Cited by 10

UAV and Deep Learning: Detection of selected riparian species along the Ganga River

Tripathi, R. N., Ramachandran, A., Agarwal, K., Tripathi, V., Badola, R., & Hussain, S. A. (2024) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xlviii-1-2024-637-2024 · Cited by 9

A Comprehensive Review of Knowledge Distillation- Methods, Applications, and Future Directions

Zhu, E. Y., Zhao, C., Yang, H., Li, J., Wu, Y., & Ding, R. (2024) · International Journal of Innovative Research in Computer Science & Technology · doi:10.55524/ijircst.2024.12.3.17 · Cited by 8

Object detection algorithms to identify skeletal components in carbonate cores

Dawson, H. L., & John, C. M. (2024) · Marine and Petroleum Geology · doi:10.1016/j.marpetgeo.2024.106965 · Cited by 8

Deep Learning-Based Localization and Orientation Estimation of Pedicle Screws in Spinal Fusion Surgery

Kim, K. H., Koo, H., & Lee, B. (2024) · Korean Journal of Neurotrauma · doi:10.13004/kjnt.2024.20.e17 · Cited by 8

Automatic Extraction of Internal Wave From Complex Background Using Polarimetric SAR and Convolutional Neural Network

Cai, J., Hu, W., Yan, H., Wang, N., Hong, M., Xing, X., & Zhang, Y. (2024) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2024.3445604 · Cited by 8

Research on the Detection of Steel Plate Defects Based on SimAM and Twin-NMF Transfer

Zou, Y., Zhang, G., & Fan, Y. (2024) · Mathematics · doi:10.3390/math12172782 · Cited by 8

A method for maize pest detection based on improved YOLO-v9 model

Li, Y., Wang, M., Wang, C., & Zhong, M. (2024) · International Conference on Computer Information Science and Application Technology (CISAT) · doi:10.1109/cisat62382.2024.10695307 · Cited by 8

Refining Transportation Automation with Convolutional Neural Network-Based Vehicle Detection via UAVs

Bakırcı, M., & Bayraktar, I. (2024) · International Russian Automation Conference (RusAutoCon) · doi:10.1109/rusautocon61949.2024.10694108 · Cited by 8

UAV measurements and AI-driven algorithms fusion for real estate good governance principles support

Tysiąc, P., Janowski, A., & Walacik, M. (2024) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2024.104229 · Cited by 8

Research on a Target Detection Algorithm for Common Pests Based on an Improved YOLOv7-Tiny Model

Gong, H., Ma, X., & Guo, Y. (2024) · Agronomy · doi:10.3390/agronomy14123068 · Cited by 8

Hacia una nueva dimensión del montaje cinematográfico: explorando las posibilidades de la inteligencia artificial

Caballero, J. (2023) · Hipertext net Revista Académica sobre Documentación Digital y Comunicación Interactiva · doi:10.31009/hipertext.net.2023.i26.08 · Cited by 12

Design a Robust Real-Time Trash Detection System Using YOLOv5 Variants

Jalal, S. I., Ahmed, H. A., & Ahmed, M. H. (2023) · IEEE IAS Global Conference on Emerging Technologies (GlobConET) · doi:10.1109/globconet56651.2023.10149899 · Cited by 8

A study on phenotypic micro-variation of stored melon based on weight loss rate

Qian, C., Sun, S., Dong, C., Chen, C., Liu, W., & Du, T. (2023) · Postharvest Biology and Technology · doi:10.1016/j.postharvbio.2023.112464 · Cited by 8

Computer vision with smartphone microphotography for detection of carious lesions

Farook, T. H., Ahmed, S., Jamayet, N. B., & Dudley, J. (2023) · Intelligence-Based Medicine · doi:10.1016/j.ibmed.2023.100105 · Cited by 8

An Integrated Framework for Bird Recognition Using Dynamic Machine Learning-Based Classification

Rabhi, W., Eljaimi, F., Amara, W., Charouh, Z., Ezzouhri, A., Benaboud, H., Saindou, M. B., & Ouardi, F. (2023) · IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc58397.2023.10218182 · Cited by 8

Development of Identification System for Cactaceae Plants using YOLO Algorithm

Leynes, L. J. D., Razon, I. C. L., & Caya, M. V. C. (2023) · IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) · doi:10.1109/ecice59523.2023.10383190 · Cited by 8

Object Detection in Autonomous Vehicles

Fakharurazi, M. I. M., Jusoh, A. Z., Asnawi, A. L., Malek, N. F. A., Abdullah, K., & Azmin, N. F. M. (2023) · IEEE International Conference on System Engineering and Technology (ICSET) · doi:10.1109/icset59111.2023.10295116 · Cited by 8

Arabic and Latin license plate detection and recognition based on YOLOv7 and image processing methodsPreprint

Moussaoui, H., AKKAD, N. E., & BENSLIMANE, M. (2023) · Research Square · doi:10.21203/rs.3.rs-3195386/v1 · Cited by 8

Traffic Flow Optimization Using CNN and GCN for Adaptive Signal Control

Kolte, S., Ingle, A., Kshirsagar, K. P., Gawande, P. G., Kumbhar, K. A., & Kawchale, R. (2023) · Asian Conference on Innovation in Technology (ASIANCON) · doi:10.1109/asiancon58793.2023.10269944 · Cited by 8

Automatic Monitoring of Oil Tank 3D Geometry and Storage Changes With Interferometric Coherence and SAR Intensity Information

Tsai, Y.-L. S., Huang, C.-J., Chen, C.-L., & Han, J.-Y. (2023) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2023.3337126 · Cited by 7

Rice Ears Detection Method Based on Multi-Scale Image Recognition and Attention Mechanism

Fen, Q., Shen, X., Zhou, C., He, W., & Yao, L. (2024) · IEEE Access · doi:10.1109/access.2024.3400254 · Cited by 7

Development of a Lightweight Floating Object Detection Algorithm

Xian, R., Tang, L., & Liu, S. (2024) · Water · doi:10.3390/w16111633 · Cited by 7

The YOLO Odyssey: A Deep Dive into Versions 1-9: Introducing Versions of Algorithm, Exploring Applications, and Unveiling Limitations

Maniyar, M. M. E., Navarkar, M. V. S., & Shindikar, M. J. S. (2024) · IARJSET · doi:10.17148/iarjset.2024.11550

A review of the development of YOLO object detection algorithm

Liang, J. (2024) · Applied and Computational Engineering · doi:10.54254/2755-2721/71/20241642 · Cited by 24

Comparative Study of a Computer Vision Technique for Locating Instances of Objects in Images Using YOLO Versions: A Review

Khaire, P. P., Shelke, R. D., Hiran, D., & Patil, M. (2023) · Smart Innovation, Systems and Technologies · doi:10.1007/978-981-99-3982-4_30 · Cited by 5

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

Sapkota, R., Flores-Calero, M., Qureshi, R., Badjugar, C., Nepal, U., Poulose, A., Zeno, P. J., Vaddevolu, U. B. P., Khan, S., Shoman, M., et al. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11253-3 · Cited by 507

YOLOv8: Advancements and Innovations in Object Detection

Swathi, Y., & Challa, M. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-1323-3_1 · Cited by 64