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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 622 · see citing works

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 · see citing works

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 302 · see citing works

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 254 · see citing works

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 · see citing works

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 · see citing works

Real-time license plate detection for non-helmeted motorcyclist using YOLO

Jamtsho, Y., Riyamongkol, P., & Waranusast, R. (2020) · ICT Express · doi:10.1016/j.icte.2020.07.008 · Cited by 97 · see citing works

A Review of Object Detection Techniques

Zou, X. (2019) · International Conference on Smart Grid and Electrical Automation (ICSGEA) · doi:10.1109/icsgea.2019.00065 · Cited by 97 · see citing works

Real-time Bhutanese license plate localization using YOLO

Jamtsho, Y., Riyamongkol, P., & Waranusast, R. (2019) · ICT Express · doi:10.1016/j.icte.2019.11.001 · Cited by 72 · see citing works

Target Fusion Detection of LiDAR and Camera Based on the Improved YOLO Algorithm

Han, J., Liao, Y., Zhang, J., Wang, S., & Li, S. (2018) · Mathematics · doi:10.3390/math6100213 · Cited by 56 · see citing works

A Method for Wheat Head Detection Based on Yolov4Preprint

Gong, B., Ergu, D., Cai, Y., & Ma, B. (2020) · Research Square · doi:10.21203/rs.3.rs-86158/v1 · Cited by 17 · see citing works

YOLOv8: A Novel Object Detection Algorithm with Enhanced Performance and Robustness

Varghese, R., & M., S. (2024) · 2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS) · doi:10.1109/adics58448.2024.10533619 · Cited by 2,007 · see citing works

YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO

Hussain, M. (2024) · IEEE Access · doi:10.1109/access.2024.3378568 · Cited by 492 · see citing works

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 454 · see citing works

A Lightweight YOLOv8 Tomato Detection Algorithm Combining Feature Enhancement and Attention

Yang, G., Wang, J., Nie, Z., Yang, H., & Yu, S. (2023) · Agronomy · doi:10.3390/agronomy13071824 · Cited by 323 · see citing works

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)

Ragab, M. G., Abdulkadir, S. J., Muneer, A., Alqushaibi, A., Sumiea, E. H., Qureshi, R., Al-Selwi, S. M., & Alhussian, H. (2024) · IEEE Access · doi:10.1109/access.2024.3386826 · Cited by 306 · see citing works

Small-object detection based on YOLOv5 in autonomous driving systems

Mahaur, B., & Mishra, K. K. (2023) · Pattern Recognition Letters · doi:10.1016/j.patrec.2023.03.009 · Cited by 270 · see citing works

A Comprehensive Review of Convolutional Neural Networks for Defect Detection in Industrial Applications

Khanam, R., Hussain, M., Hill, R. C., & Allen, P. (2024) · IEEE Access · doi:10.1109/access.2024.3425166 · Cited by 273 · see citing works

Tea leaf disease detection and identification based on YOLOv7 (YOLO-T)

Soeb, M. J. A., Jubayer, M. F., Tarin, T. A., Mamun, M. R. A., Ruhad, F. M., Parven, A., Mubarak, N. M., Karri, S. L., & Meftaul, I. M. (2023) · Scientific Reports · doi:10.1038/s41598-023-33270-4 · Cited by 237 · see citing works

Advancements and Challenges in Machine Learning: A Comprehensive Review of Models, Libraries, Applications, and Algorithms

Tufail, S., Riggs, H., Tariq, M., & Sarwat, A. I. (2023) · Electronics · doi:10.3390/electronics12081789 · Cited by 236 · see citing works

Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detection

Sirisha, U., Praveen, S. P., Srinivasu, P. N., Barsocchi, P., & Bhoi, A. K. (2023) · International Journal of Computational Intelligence Systems · doi:10.1007/s44196-023-00302-w · Cited by 228 · see citing works

YOLO-Based UAV Technology: A Review of the Research and Its Applications

Chen, C., Zheng, Z., Xu, T., Guo, S., Feng, S., Yao, W., & Lan, Y. (2023) · Drones · doi:10.3390/drones7030190 · Cited by 223 · see citing works

YOLOv8-QSD: An Improved Small Object Detection Algorithm for Autonomous Vehicles Based on YOLOv8

Wang, H., Liu, C., Cai, Y., Chen, L., & Li, Y. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3379090 · Cited by 205 · see citing works

Automated Brain Tumor Segmentation and Classification in MRI Using YOLO-Based Deep Learning

Almufareh, M. F., Imran, M., Khan, A., Humayun, M., & Asim, M. F. (2024) · IEEE Access · doi:10.1109/access.2024.3359418 · Cited by 200 · see citing works

A Review of Practical AI for Remote Sensing in Earth Sciences

Janga, B., Asamani, G. P., Sun, Z., & Cristea, N. C. (2023) · Remote Sensing · doi:10.3390/rs15164112 · Cited by 219 · see citing works

Improved YOLOv5: Efficient Object Detection Using Drone Images under Various Conditions

Jung, H.-K., & Choi, G.-S. (2022) · Applied Sciences · doi:10.3390/app12147255 · Cited by 181 · see citing works

Traffic Sign Detection and Recognition Using YOLO Object Detection Algorithm: A Systematic Review

Flores-Calero, M. J., Astudillo, C. A., Guevara, D., Maza, J., Lita, B. S., Defaz, B., Ante, J. S., Zabala‐Blanco, D., & Armingol, J. M. (2024) · Mathematics · doi:10.3390/math12020297 · Cited by 181 · see citing works

GBH-YOLOv5: Ghost Convolution with BottleneckCSP and Tiny Target Prediction Head Incorporating YOLOv5 for PV Panel Defect Detection

Li, L., Wang, Z., & Zhang, T. (2023) · Electronics · doi:10.3390/electronics12030561 · Cited by 157 · see citing works

Lightweight object detection algorithm for robots with improved YOLOv5

Liu, G., Hu, Y., Chen, Z., Guo, J., & Ni, P. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106217 · Cited by 155 · see citing works

An improved algorithm for small object detection based on YOLO v4 and multi-scale contextual information

Ji, S.-J., Ling, Q.-H., & Han, F. (2022) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2022.108490 · Cited by 150 · see citing works

NAS-YOLOX: a SAR ship detection using neural architecture search and multi-scale attention

Wang, H., Han, D., Cui, M., & Chen, C. (2023) · Connection Science · doi:10.1080/09540091.2023.2257399 · Cited by 145 · see citing works

Nonlinear and threshold effects of the built environment, road vehicles and air pollution on urban vitality

Doan, Q. C., Ma, J., Chen, S., & Zhang, X. (2024) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2024.105204 · Cited by 131 · see citing works

Object Detection in Adverse Weather for Autonomous Driving through Data Merging and YOLOv8

Kumar, D., & Muhammad, N. (2023) · Sensors · doi:10.3390/s23208471 · Cited by 128 · see citing works

A mobile-based system for maize plant leaf disease detection and classification using deep learning

Khan, F., Zafar, N., Tahir, M. N., Aqib, M., Waheed, H., & Haroon, Z. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1079366 · Cited by 116 · see citing works

In-Depth Review of YOLOv1 to YOLOv10 Variants for Enhanced Photovoltaic Defect Detection

Hussain, M., & Khanam, R. (2024) · Solar · doi:10.3390/solar4030016 · Cited by 115 · see citing works

Using lightweight deep learning algorithm for real-time detection of apple flowers in natural environments

Shang, Y., Xu, X., Jiao, Y., Wang, Z., Hua, Z., & Song, H. (2023) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2023.107765 · Cited by 104 · see citing works

Utilizing YOLOv8 for enhanced traffic monitoring in intelligent transportation systems (ITS) applications

Bakırcı, M. (2024) · Digital Signal Processing · doi:10.1016/j.dsp.2024.104594 · Cited by 98 · see citing works

A systematic literature review of defect detection in railways using machine vision-based inspection methods

Kumar, A., & Harsha, S. P. (2024) · International Journal of Transportation Science and Technology · doi:10.1016/j.ijtst.2024.06.006 · Cited by 96 · see citing works

UAV Target Detection Algorithm Based on Improved YOLOv8

Wang, F., Wang, H., Qin, Z., & Tang, J. (2023) · IEEE Access · doi:10.1109/access.2023.3325677 · Cited by 89 · see citing works

A performance comparison of YOLOv8 models for traffic sign detection in the Robotaxi-full scale autonomous vehicle competition

Soylu, E., & Soylu, T. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16451-1 · Cited by 88 · see citing works

Basketball action recognition based on the combination of YOLO and a deep fuzzy LSTM network

Khobdeh, S. B., Yamaghani, M. R., & Khodaparast, S. (2023) · The Journal of Supercomputing · doi:10.1007/s11227-023-05611-7 · Cited by 90 · see citing works

Enhancing automated vehicle identification by integrating YOLO v8 and OCR techniques for high-precision license plate detection and recognition

Moussaoui, H., Akkad, N. E., Benslimane, M., El‐Shafai, W., Baihan, A., Hewage, C. T. E. R., & Rathore, R. S. (2024) · Scientific Reports · doi:10.1038/s41598-024-65272-1 · Cited by 83 · see citing works

An Improved YOLOv8 Algorithm for Rail Surface Defect Detection

Wang, Y., Zhang, K., Wang, L., & Wu, L. (2024) · IEEE Access · doi:10.1109/access.2024.3380009 · Cited by 82 · see citing works

Automated detection and segmentation of tunnel defects and objects using YOLOv8-CM

Zhang, C., Chen, X., Liu, P., He, B., Li, W., & Song, T. (2024) · Tunnelling and Underground Space Technology · doi:10.1016/j.tust.2024.105857 · Cited by 78 · see citing works

Advancing precision agriculture: The potential of deep learning for cereal plant head detection

Sanaeifar, A., Guindo, M. L., Bakhshipour, A., Fazayeli, H., Li, X., & Yang, C. (2023) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2023.107875 · Cited by 76 · see citing works

Latent-KalmanNet: Learned Kalman Filtering for Tracking From High-Dimensional Signals

Buchnik, I., Revach, G., Steger, D., van Sloun, R. J. G., Routtenberg, T., & Shlezinger, N. (2023) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2023.3344360 · Cited by 76 · see citing works

Detection of Pine Wilt Disease Using AAV Remote Sensing With an Improved YOLO Model

Wang, L., Cai, J., Wang, T., Zhao, J., Gadekallu, T. R., & Fang, K. (2024) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2024.3478333 · Cited by 78 · see citing works

RailFOD23: A dataset for foreign object detection on railroad transmission lines

Chen, Z., Yang, J., Feng, Z., & Zhu, H. (2024) · Scientific Data · doi:10.1038/s41597-024-02918-9 · Cited by 77 · see citing works

LS-YOLO: A Novel Model for Detecting Multiscale Landslides With Remote Sensing Images

Zhang, W., Liu, Z., Zhou, S., Qi, W., Wu, X., Zhang, T., & Han, L. (2024) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2024.3363160 · Cited by 73 · see citing works

Sweet potato leaf detection in a natural scene based on faster R-CNN with a visual attention mechanism and DIoU-NMS

Wang, M., Fu, B., Fan, J., Wang, Y., Zhang, L., & Xia, C. (2022) · Ecological Informatics · doi:10.1016/j.ecoinf.2022.101931 · Cited by 71 · see citing works

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

Gheorghe, C., Duguleană, M., Boboc, R. G., & Postelnicu, C. (2024) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2024.054735 · Cited by 84 · see citing works

Aero-Engine Blade Defect Detection: A Systematic Review of Deep Learning Models

Abdulrahman, Y., Eltoum, M. A. M., Ayyad, A., Moyo, B., & Zweiri, Y. (2023) · IEEE Access · doi:10.1109/access.2023.3280992 · Cited by 74 · see citing works

Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review

Rudnicka, Z., Proniewska, K. K., Perkins, M. D., & Pręgowska, A. (2024) · Electronics · doi:10.3390/electronics13050866 · Cited by 70 · see citing works

SerpensGate-YOLOv8: an enhanced YOLOv8 model for accurate plant disease detection

Miao, Y., Meng, W., & Zhou, X. (2025) · Frontiers in Plant Science · doi:10.3389/fpls.2024.1514832 · Cited by 70 · see citing works

Underwater Target Detection Using Deep Learning: Methodologies, Challenges, Applications, and Future Evolution

Khan, A., Fouda, M. M., Do, D., Almaleh, A., Alqahtani, A. M., & Rahman, A. U. (2024) · IEEE Access · doi:10.1109/access.2024.3353688 · Cited by 68 · see citing works

Construction Site Hazards Identification Using Deep Learning and Computer Vision

Alateeq, M. M., P., F. R. P., & Ali, M. A. S. (2023) · Sustainability · doi:10.3390/su15032358 · Cited by 67 · see citing works

Sensor-Fusion Based Navigation for Autonomous Mobile Robot

Ušinskis, V., Nowicki, M., Dzedzickis, A., & Bučinskas, V. (2025) · Sensors · doi:10.3390/s25041248 · Cited by 67 · see citing works

Fuzzy Logic with Deep Learning for Detection of Skin Cancer

Singh, S. K., Abolghasemi, V., & Anisi, M. H. (2023) · Applied Sciences · doi:10.3390/app13158927 · Cited by 68 · see citing works

Computer vision-based safety risk computing and visualization on construction sites

Hou, X., Li, C., & Fang, Q. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.105129 · Cited by 66 · see citing works

Autonomous UAV navigation using deep learning-based computer vision frameworks: A systematic literature review

Katkuri, A. V. R., Madan, H., Khatri, N., Abdul-Qawy, A. S. H., & Patnaik, K. S. (2024) · Array · doi:10.1016/j.array.2024.100361 · Cited by 66 · see citing works

Real-Time Personal Protective Equipment Compliance Detection Based on Deep Learning Algorithm

Lo, J.-H., Lin, L.-K., & Hung, C.-C. (2022) · Sustainability · doi:10.3390/su15010391 · Cited by 64 · see citing works

Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression

Awad, F. H., Hamad, M. M., & Alzubaidi, L. (2023) · Life · doi:10.3390/life13030691 · Cited by 67 · see citing works

Image annotation and curation in radiology: an overview for machine learning practitioners

Galbusera, F., & Cina, A. (2024) · European Radiology Experimental · doi:10.1186/s41747-023-00408-y · Cited by 62 · see citing works

Detection of powdery mildew on strawberry leaves based on DAC-YOLOv4 model

Li, Y., Wang, J., Wu, H., Yu, Y. F., Sun, H., & Zhang, H. (2022) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.107418 · Cited by 61 · see citing works

Solar panel defect detection design based on YOLO v5 algorithm

Huang, J., Zeng, K., Zhang, Z., & Zhong, W. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18826 · Cited by 61 · see citing works

Vehicle-Road-Cloud Collaborative Perception Framework and Key Technologies: A Review

Gao, B., Liu, J., Zou, H., Chen, J., He, L., & Li, K. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3459799 · Cited by 65 · see citing works

Two Novel Models for Traffic Sign Detection Based on YOLOv5s

Bai, W., Zhao, J., Dai, C., Zhang, H., Zhao, L., Ji, Z., & Ганчев, И. (2023) · Axioms · doi:10.3390/axioms12020160 · Cited by 59 · see citing works

Weighted Pseudo-Labels and Bounding Boxes for Semisupervised SAR Target Detection

Tian, Z., Wang, W., Zhou, K., Song, X., Shen, Y., & Liu, S. (2024) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2024.3363491 · Cited by 58 · see citing works

PODB: A learning-based polarimetric object detection benchmark for road scenes in adverse weather conditions

Zhu, Z., Li, X., Zhai, J., & Hu, H. (2024) · Information Fusion · doi:10.1016/j.inffus.2024.102385 · Cited by 58 · see citing works

Enhanced TumorNet: Leveraging YOLOv8s and U-net for superior brain tumor detection and segmentation utilizing MRI scans

Zafar, W., Husnain, G., Iqbal, A., Alzahrani, A. S., Irfan, M. A., Ghadi, Y. Y., Alzahrani, M. S., & Naidu, R. S. (2024) · Results in Engineering · doi:10.1016/j.rineng.2024.102994 · Cited by 57 · see citing works

An efficient automated vehicle license plate recognition system under image processing

Islam, D., Mahmud, T., & Chowdhury, T. (2022) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v29.i2.pp1055-1062 · Cited by 56 · see citing works

Edge AI in Practice: A Survey and Deployment Framework for Neural Networks on Embedded Systems

Cordova-Cardenas, R., Amor, D., & Gutiérrez, Á. (2025) · Electronics · doi:10.3390/electronics14244877 · Cited by 67 · see citing works

Lightweight You Only Look Once v8: An Upgraded You Only Look Once v8 Algorithm for Small Object Identification in Unmanned Aerial Vehicle Images

Huangfu, Z., & Li, S. (2023) · Applied Sciences · doi:10.3390/app132212369 · Cited by 55 · see citing works

YOLOv7-RDD: A Lightweight Efficient Pavement Distress Detection Model

Ning, Z., Wang, H., Li, S., & Xu, Z. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3347034 · Cited by 55 · see citing works

Tracking and monitoring of individual pig behavior based on YOLOv5-Byte

Tu, S., Cai, Y., Liang, Y., Lei, H., Huang, Y., Liu, H., & Xiao, D. (2024) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2024.108997 · Cited by 56 · see citing works

Automatic object detection for behavioural research using YOLOv8

Hermens, F. (2024) · Behavior Research Methods · doi:10.3758/s13428-024-02420-5 · Cited by 55 · see citing works

A systematic review of UAV and AI integration for targeted disease detection, weed management, and pest control in precision agriculture

Anam, I., Arafat, N., Hafiz, M. S., Jim, J. R., Kabir, M. M., & Mridha, M. F. (2024) · Smart Agricultural Technology · doi:10.1016/j.atech.2024.100647 · Cited by 55 · see citing works

A Study of YOLO Architectures for Wildfire and Smoke Detection in Ground and Aerial Imagery

Ramos, L., Casas, E., Romero, C., Rivas-Echeverría, F., & Bendek, E. (2025) · Results in Engineering · doi:10.1016/j.rineng.2025.104869 · Cited by 64 · see citing works

Improved Field-Based Soybean Seed Counting and Localization with Feature Level Considered

Zhao, J., Kaga, A., Yamada, T., Komatsu, K., Hirata, K., Kikuchi, A., Hirafuji, M., Ninomiya, S., & Guo, W. (2023) · Plant Phenomics · doi:10.34133/plantphenomics.0026 · Cited by 54 · see citing works

Efficient railway track region segmentation algorithm based on lightweight neural network and cross-fusion decoder

Chen, Z., Yang, J., Chen, L., Feng, Z., & Jia, L. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.105069 · Cited by 53 · see citing works

A streamlined approach for intelligent ship object detection using EL-YOLO algorithm

Yang, D., Solihin, M. I., Ardiyanto, I., Zhao, Y., Li, W., Cai, B., & Chen, C. (2024) · Scientific Reports · doi:10.1038/s41598-024-64225-y · Cited by 54 · see citing works

Real-Time Detection of Microplastics Using an AI Camera

Sarker, M. A. B., Imtiaz, M. H., Holsen, T. M., & Baki, A. B. M. (2024) · Sensors · doi:10.3390/s24134394 · Cited by 53 · see citing works

Multi-Object Detection for Daily Road Maintenance Inspection With UAV Based on Improved YOLOv8

Zhu, J., Wu, Y., & Ma, T. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3437770 · Cited by 57 · see citing works

Enhanced Self-Checkout System for Retail Based on Improved YOLOv10

Tan, L., Liu, S., Gao, J., Liu, X., Chu, L., & Jiang, H. (2024) · Journal of Imaging · doi:10.3390/jimaging10100248 · Cited by 53 · see citing works

Object Detection for Construction Waste Based on an Improved YOLOv5 Model

Zhou, Q., Liu, H., Qiu, Y., & Zheng, W. (2022) · Sustainability · doi:10.3390/su15010681 · Cited by 52 · see citing works

Railway obstacle intrusion warning mechanism integrating YOLO-based detection and risk assessment

Zhang, Z., Chen, P., Huang, Y., Dai, L., Xu, F., & Hu, H. (2024) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2024.100571 · Cited by 52 · see citing works

YOLO deep learning algorithm for object detection in agriculture: a review

Kamalesh Kanna, S., Kumaraperumal, R., Pazhanivelan, P., Jagadeeswaran, R., & Prabu, P. C. (2024) · Journal of Agricultural Engineering · doi:10.4081/jae.2024.1641 · Cited by 63 · see citing works

Deep Learning for Tomato Disease Detection with YOLOv8

Zayani, H. M., Ammar, I., Ghodhbani, R., Maqbool, A., Saidani, T. S., Slimane, J. B., Kachoukh, A., Kouki, M., Kallel, M., Alsuwaylimi, A. A., et al. (2024) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.7064 · Cited by 51 · see citing works

Methods for Detecting and Classifying Weeds, Diseases and Fruits Using AI to Improve the Sustainability of Agricultural Crops: A Review

Corceiro, A., Alibabaei, K., Assunção, E., Gaspar, P. D., & Pereira, N. J. M. (2023) · Processes · doi:10.3390/pr11041263 · Cited by 50 · see citing works

Hyper-parameter tuned deep learning approach for effective human monkeypox disease detection

Dahiya, N., Sharma, Y. K., Rani, U., V, Hussain, S., Khan, V., Mohan, A., & Nuristani, N. (2023) · Scientific Reports · doi:10.1038/s41598-023-43236-1 · Cited by 50 · see citing works

Identification of cotton pest and disease based on CFNet- VoV-GCSP -LSKNet-YOLOv8s: a new era of precision agriculture

Li, R., He, Y., Li, Y., Qin, W., Abbas, A., Ji, R., Li, S., Wu, Y., Sun, X., & Yang, J. (2024) · Frontiers in Plant Science · doi:10.3389/fpls.2024.1348402 · Cited by 50 · see citing works

Mislaying behavior detection in cage-free hens with deep learning technologies

Bist, R. B., Yang, X. Y., Subedi, S., & Chai, L. (2023) · Poultry Science · doi:10.1016/j.psj.2023.102729 · Cited by 49 · see citing works

A Real-Time Defect Detection Strategy for Additive Manufacturing Processes Based on Deep Learning and Machine Vision Technologies

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A Review on Automated Detection and Assessment of Fruit Damage Using Machine Learning

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Rose-Mamba-YOLO: an enhanced framework for efficient and accurate greenhouse rose monitoring

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Fish Detection and Classification for Automatic Sorting System with an Optimized YOLO Algorithm

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Opportunities and challenges for deep learning in cell dynamics research

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YOLOv8-ACCW: Lightweight Grape Leaf Disease Detection Method Based on Improved YOLOv8

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Advancing crop health with YOLOv11 classification of plant diseases

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A Review of YOLO Algorithm and Its Applications in Autonomous Driving Object Detection

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Hypertuned-YOLO for interpretable distribution power grid fault location based on EigenCAM

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A survey of video-based human action recognition in team sports

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Lightweight marine biodetection model based on improved YOLOv10

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YOLO-based segmented dataset for drone vs. bird detection for deep and machine learning algorithms

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Pavement Distress Detection Using Street View Images Captured via Action Camera

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Crop Detection and Maturity Classification Using a YOLOv5-Based Image Analysis

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Human attention guided explainable artificial intelligence for computer vision models

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Application of artificial intelligence in turbomachinery aerodynamics: progresses and challenges

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Deep learning-based classification, detection, and segmentation of tomato leaf diseases: A state-of-the-art review

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Detection and Classification of Printed Circuit Boards Using YOLO Algorithm

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A Transfer Learning Architecture to Detect Faulty Insulators in Powerlines

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

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A review of the development of YOLO object detection algorithm

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

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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 454 · see citing works

YOLOv8: Advancements and Innovations in Object Detection

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