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

Supporting Malaria Diagnosis Using Deep Learning and Data Augmentation

Hoyos, K., & Hoyos, W. (2024) · Diagnostics · doi:10.3390/diagnostics14070690 · Cited by 53

Toward Real Scenery: A Lightweight Tomato Growth Inspection Algorithm for Leaf Disease Detection and Fruit Counting

Kang, R., Huang, J., Zhou, X., Ren, N., & Sun, S. (2024) · Plant Phenomics · doi:10.34133/plantphenomics.0174 · Cited by 46

Hyperparameter optimization of YOLOv8 for smoke and wildfire detection: Implications for agricultural and environmental safety

Ramos, L., Casas, E., Bendek, E. A., Romero, C., & Rivas, F. (2024) · Artificial Intelligence in Agriculture · doi:10.1016/j.aiia.2024.05.003 · Cited by 45

Student Behavior Recognition in Classroom Based on Deep Learning

Jia, Q., & He, J. (2024) · Applied Sciences · doi:10.3390/app14177981 · Cited by 45

Foreign Object Detection Method for Railway Catenary Based on a Scarce Image Generation Model and Lightweight Perception Architecture

Chen, Z., Yang, J., Li, F., Feng, Z., Chen, L., Jia, L., & Li, P. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3567319 · Cited by 45

CICHMKG: a large-scale and comprehensive Chinese intangible cultural heritage multimodal knowledge graph

Fan, T., Wang, H., & Hodel, T. (2023) · Heritage Science · doi:10.1186/s40494-023-00927-2 · Cited by 61

Attention mechanism and texture contextual information for steel plate defects detection

Zhang, C., Cui, J., Wu, J., & Zhang, X. (2023) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-023-02149-6 · Cited by 43

Comparison of Faster R-CNN, YOLO, and SSD for Third Molar Angle Detection in Dental Panoramic X-rays

Vilcapoma, P., Meléndez, D. P., Fernández, A., V, Vásconez, I. N., Hillmann, N. C., Gatica, G., & Vásconez, J. P. (2024) · Sensors · doi:10.3390/s24186053 · Cited by 43

Smart UAV-assisted rose growth monitoring with improved YOLOv10 and Mamba restoration techniques

Zhao, F., Ren, Z., Wang, J., Wu, Q., Xi, D., Shao, X., Liu, Y., Chen, Y., & Mizuno, K. (2024) · Smart Agricultural Technology · doi:10.1016/j.atech.2024.100730 · Cited by 47

Early Forest Fire Detection With UAV Image Fusion: A Novel Deep Learning Method Using Visible and Infrared Sensors

Niu, K., Wang, C., Xu, J., Liang, J., Zhou, X., Wen, K., Lu, M., & Yang, C. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3541205 · Cited by 45

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

Sapkota, R., Qureshi, R., Flores-Calero, M. J., Hussain, M., Badjugar, C., Nepal, U., Poulose, A., Zeno, P. J., Vaddevolu, U. B. P., Yan, H., et al. (2024) · Preprints.org · doi:10.20944/preprints202406.1366.v1 · Cited by 47

Development of an artificial intelligence tool for detecting colorectal lesions in inflammatory bowel disease

Guerrero Vinsard, D., Fetzer, J. R., Agrawal, U., Singh, J., Damani, D. N., Sivasubramaniam, P., Poigai Arunachalam, S., Leggett, C. L., Raffals, L. E., & Coelho-Prabhu, N. (2023) · iGIE · doi:10.1016/j.igie.2023.03.004 · Cited by 43

Formation of a Lightweight, Deep Learning-Based Weed Detection System for a Commercial Autonomous Laser Weeding Robot

Fatima, H. S., Hassan, I. U., Hasan, S., Khurram, M., Stricker, D., & Afzal, M. Z. (2023) · Applied Sciences · doi:10.3390/app13063997 · Cited by 46

Dynamic fry counting based on multi-object tracking and one-stage detection

Zhang, H., Li, W., Qi, Y., Liu, H., & Li, Z. (2023) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2023.107871 · Cited by 44

The synergy of cybernetical intelligence with medical image analysis for deep medicine: A methodological perspective

Wong, K., Ayoub, M., Cao, Z., Chen, C., Chen, W., Ghista, D. N., & Zhang, W. (2023) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2023.107677 · Cited by 42

Automated Pavement Condition Index Assessment with Deep Learning and Image Analysis: An End-to-End Approach

Ibragimov, E., Kim, Y., Lee, J. H., Cho, J., & Lee, J.-J. (2024) · Sensors · doi:10.3390/s24072333 · Cited by 52

Artificial intelligence powered real-time quality monitoring for additive manufacturing in construction

Zhao, H., Wang, X., Sun, J., Wang, Y., Chen, Z., Wang, J., & Xu, X. (2024) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2024.135894 · Cited by 42

An advanced AI-based lightweight two-stage underwater structural damage detection model

Ye, X., Luo, K., Wang, H., Zhao, Y., Zhang, J., & Liu, A. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102553 · Cited by 42

Towards Lightweight Neural Networks for Garbage Object Detection

Cai, X., Shuang, F., Sun, X., Duan, Y., & Cheng, G. (2022) · Sensors · doi:10.3390/s22197455 · Cited by 43

TrackSafe: A comparative study of data-driven techniques for automated railway track fault detection using image datasets

Minguell, M. G., & Pandit, R. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106622 · Cited by 42

Real-time Object Detection in Autonomous Vehicles with YOLO

Alahdal, N. M., Abukhodair, F., Meftah, L. H., & Cherif, A. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.09.392 · Cited by 41

GSLI‐RTMdet: An automatic nondestructive detection method for internal defects in gas‐insulated switchgear X‐DR images

Liu, G., Su, Z., Luo, B., & Zhu, Y. (2025) · High Voltage · doi:10.1049/hve2.70044 · Cited by 41

YOLOv7-Plum: Advancing Plum Fruit Detection in Natural Environments with Deep Learning

Tang, R., Lei, Y., Luo, B., Zhang, J., & Mu, J. (2023) · Plants · doi:10.3390/plants12152883 · Cited by 40

The Impact of Noise and Brightness on Object Detection Methods

Rodríguez-Rodríguez, J. A., López‐Rubio, E., Ángel-Ruiz, J. A., & Molina‐Cabello, M. A. (2024) · Sensors · doi:10.3390/s24030821 · Cited by 40

DBF‐YOLO : UAV Small Targets Detection Based on Shallow Feature Fusion

Liu, H., Duan, X., Chen, H., Lou, H., & Deng, L. (2023) · IEEJ Transactions on Electrical and Electronic Engineering · doi:10.1002/tee.23758 · Cited by 43

Smoking behavior detection algorithm based on YOLOv8-MNC

Wang, Z., Lei, L., & Shi, P. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1243779 · Cited by 49

An Improved YOLOv5s-Seg Detection and Segmentation Model for the Accurate Identification of Forest Fires Based on UAV Infrared Image

Niu, K., Wang, C., Xu, J., Yang, C., Zhou, X., & Yang, X. (2023) · Remote Sensing · doi:10.3390/rs15194694 · Cited by 40

Research and prospect of underground intelligent coal gangue sorting technology: A review

Zhao, G., Chang, F., Chen, J., & Si, G. (2024) · Minerals Engineering · doi:10.1016/j.mineng.2024.108818 · Cited by 39

A two-stage approach for aircraft detection with convolutional neural network

Toghuj, W., & Alraba’nah, Y. (2024) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v14i4.pp4627-4635 · Cited by 38

Winter wheat weed detection based on deep learning models

Li, Z., Wang, D., Yan, Q. Y., Zhao, M., Wu, X., & Liu, X. (2024) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2024.109448 · Cited by 38

A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection

Portela, F., Sousa, J. J., Paredes, C., Peres, E., Morais, R., & Pádua, L. (2024) · Sensors · doi:10.3390/s24248172 · Cited by 38

A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach

Yıldız, S., Aydemir, O., Memiş, A., & Varlı, S. (2022) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2022.105032 · Cited by 47

YOLOv5-FPN: A Robust Framework for Multi-Sized Cell Counting in Fluorescence Images

Aldughayfiq, B., Ashfaq, F., Jhanjhi, N. Z., & Humayun, M. (2023) · Diagnostics · doi:10.3390/diagnostics13132280 · Cited by 37

Object Detection for Brain Cancer Detection and Localization

Mercaldo, F., Brunese, L., Martinelli, F., Santone, A., & Cesarelli, M. (2023) · Applied Sciences · doi:10.3390/app13169158 · Cited by 37

YOLO-based ROI selection for joint encryption and compression of medical images with reconstruction through super-resolution network

Priyanka, P., Baranwal, N., Singh, A. K., & Singh, A. K. (2023) · Future Generation Computer Systems · doi:10.1016/j.future.2023.08.018 · Cited by 37

A Deep Learning Approach for Brain Tumor Firmness Detection Based on Five Different YOLO Versions: YOLOv3–YOLOv7

Alhussainan, N. F., Youssef, B. B., & Ismail, M. M. B. (2024) · Computation · doi:10.3390/computation12030044 · Cited by 37

An approach based on deep learning methods to detect the condition of solar panels in solar power plants

Özer, T., & Türkmen, Ö. S. (2024) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2024.109143 · Cited by 37

Machine learning for subsurface geological feature identification from seismic data: Methods, datasets, challenges, and opportunities

Lin, L., Zhong, Z., Li, C., Gorman, A. R., Wei, H., Kuang, Y., Wen, S., Cai, Z., & Hao, F. (2024) · Earth-Science Reviews · doi:10.1016/j.earscirev.2024.104887 · Cited by 45

Enhancing autonomous pavement crack detection: Optimizing YOLOv5s algorithm with advanced deep learning techniques

Zhou, S., Yang, D., Zhang, Z., Zhang, J., Qu, F., Punetha, P., Li, W., & Li, N. (2024) · Measurement · doi:10.1016/j.measurement.2024.115603 · Cited by 39

Accurate Detection of Brain Tumor Lesions From Medical Images Based on Improved YOLOv8 Algorithm

Yao, Q., Zhuang, D., Feng, Y., Wang, Y., & Liu, J. (2024) · IEEE Access · doi:10.1109/access.2024.3472039 · Cited by 41

A Benchmark Review of YOLO Algorithm Developments for Object Detection

Hua, Z., Aranganadin, K., Yeh, C.-C., Hai, X., Huang, C.-Y., Leung, T. C., Hsu, H., Lan, Y., & Lin, M. (2025) · IEEE Access · doi:10.1109/access.2025.3586673 · Cited by 46

Automatic Detection of Civilian and Military Personnel in Reconnaissance Missions using a UAV

Santos, N. P., Rodrigues, V. B., Pinto, A. B., & Damas, B. (2023) · IEEE International Conference on Autonomous Robot Systems and Competitions · doi:10.1109/icarsc58346.2023.10129575 · Cited by 36

Deep learning based computer vision under the prism of 3D point clouds: a systematic review

Tychola, K. A., Vrochidou, Ε., & Papakostas, G. A. (2024) · The Visual Computer · doi:10.1007/s00371-023-03237-7 · Cited by 42

Exploring the asymmetric relationship between natural resources, fintech, remittance and environmental pollution for BRICS nations: New insights from MMQR approach

Zhang, K., Sharaf, M. A. F., Wei, S.-Y., Shraah, A. A., Le, L. T., Bedekar, A. A., & Ahmad, A. Y. A. B. (2024) · Resources Policy · doi:10.1016/j.resourpol.2024.104693 · Cited by 36

Insulator defect detection algorithm based on improved YOLOv8 for electric power

Su, J., Yuan, Y., Przystupa, К., & Кочан, О. В. (2024) · Signal Image and Video Processing · doi:10.1007/s11760-024-03307-w · Cited by 36

LVD-YOLO: An efficient lightweight vehicle detection model for intelligent transportation systems

Pan, H., Guan, S., & Zhao, X. (2024) · Image and Vision Computing · doi:10.1016/j.imavis.2024.105276 · Cited by 43

FDI-YOLO: Feature disentanglement and interaction network based on YOLO for SAR object detection

Wang, P., Luo, Y., & Zhu, Z. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.125442 · Cited by 41

YOLOv8-Peas: a lightweight drought tolerance method for peas based on seed germination vigor

Jiang, H., Hu, F., Fu, X., Chen, C., Wang, C., Tian, L., & Shi, Y. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1257947 · Cited by 38

Enhanced Vision Transformer and Transfer Learning Approach to Improve Rice Disease Recognition

Rachman, R. K., Setiadi, D. R. I. M., Susanto, A., Nugroho, K., & Islam, H. M. M. (2024) · Journal of Computing Theories and Applications · doi:10.62411/jcta.10459 · Cited by 35

Improved Steel Surface Defect Detection Algorithm Based on YOLOv8

You, C., & Kong, H. (2024) · IEEE Access · doi:10.1109/access.2024.3429555 · Cited by 35

Performance evaluation of deep learning models for the classification and identification of dental implants

Kong, H.-J., Yoo, J.-Y., Lee, J.-H., Eom, S.-H., & Kim, J.-H. (2023) · Journal of Prosthetic Dentistry · doi:10.1016/j.prosdent.2023.07.009 · Cited by 35

Assessing the performance of YOLOv5, YOLOv6, and YOLOv7 in road defect detection and classification: a comparative study

Yusof, N. ‘. M., Sophian, A., Zaki, H. F. M., Bawono, A. A., Embong, A. H., & Ashraf, A. (2023) · Bulletin of Electrical Engineering and Informatics · doi:10.11591/eei.v13i1.6317 · Cited by 35

Proximal Policy Optimization for Efficient D2D-Assisted Computation Offloading and Resource Allocation in Multi-Access Edge Computing

Zhang, C. H., Wu, C., Lin, M., Lin, Y., & Liu, W. (2024) · Future Internet · doi:10.3390/fi16010019 · Cited by 43

Underwater Object Detection Algorithm Based on an Improved YOLOv8

Zhang, F., Cao, W., Gao, J., Liu, S., Li, C., Song, K., & Wang, H. (2024) · Journal of Marine Science and Engineering · doi:10.3390/jmse12111991 · Cited by 34

Machine-Learning-Enabled Multimode Fiber Specklegram Sensors: A Review

Newaz, A., Faruque, M. O., Mahmud, R. A., Sagor, R. H., & Khan, M. Z. M. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3298169 · Cited by 36

Pointer Meter Recognition Method Based on Yolov7 and Hough Transform

Zhang, C., Shi, L., Zhang, D., Ke, T., & Li, J. (2023) · Applied Sciences · doi:10.3390/app13158722 · Cited by 36

Detecting defects in fused deposition modeling based on improved YOLO v4

Xu, L., Zhang, X., Ma, F., Chang, G., Zhang, C., Li, J., Wang, S., & Huang, Y. (2023) · Materials Research Express · doi:10.1088/2053-1591/acf6f9 · Cited by 33

TD-YOLOA: An Efficient YOLO Network With Attention Mechanism for Tire Defect Detection

Peng, C., Li, X., & Wang, Y. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3312753 · Cited by 33

Estrus Detection and Dairy Cow Identification with Cascade Deep Learning for Augmented Reality-Ready Livestock Farming

Arıkan, İ., Ayav, T., Seçkin, A. Ç., & Soygazi, F. (2023) · Sensors · doi:10.3390/s23249795 · Cited by 33

WLSD-YOLO: A Model for Detecting Surface Defects in Wood Lumber

Zhang, Q., Liu, L., Yang, Z., Jingtao, Y., & Jing, Z. (2024) · IEEE Access · doi:10.1109/access.2024.3395623 · Cited by 33

GVC-YOLO: A Lightweight Real-Time Detection Method for Cotton Aphid-Damaged Leaves Based on Edge Computing

Zhang, Z., Yang, Y., Xu, X., Liu, L., Yue, J., Ding, R., Lu, Y., Liu, J., & Qiao, H. (2024) · Remote Sensing · doi:10.3390/rs16163046 · Cited by 40

A Lightweight Anti-Unmanned Aerial Vehicle Detection Method Based on Improved YOLOv11

Gao, Y., Xin, Y., Yang, H., & Wang, Y. (2024) · Drones · doi:10.3390/drones9010011 · Cited by 33

A survey on deep learning fundamentals

Tian, C., Cheng, T., Peng, Z., Zuo, W., Tian, Y., Zhang, Q., Wang, F., & Zhang, D. D. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11368-7 · Cited by 46

Water Meter Reading for Smart Grid Monitoring

Martinelli, F., Mercaldo, F., & Santone, A. (2022) · Sensors · doi:10.3390/s23010075 · Cited by 33

Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards

da Silva, J. C. F., Silva, M. C., Luz, E. J. D. S., Delabrida, S. E., & Oliveira, R. (2023) · Sensors · doi:10.3390/s23042165 · Cited by 33

Enhancing Object Detection in Self-Driving Cars Using a Hybrid Approach

Khan, S. A., Lee, H. J., & Lim, H. (2023) · Electronics · doi:10.3390/electronics12132768 · Cited by 33

End to End Invoice Processing Application Based on Key Fields Extraction

Arslan, H. (2022) · IEEE Access · doi:10.1109/access.2022.3192828 · Cited by 34

Using Deep Learning to Detect the Presence and Location of Hemoperitoneum on the Focused Assessment with Sonography in Trauma (FAST) Examination in Adults

Leo, M. M., Potter, İ. Y., Zahiri, M., Vaziri, A., Jung, C. F., & Feldman, J. A. (2023) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-023-00845-6 · Cited by 35

Distracted Driving Behavior and Driver’s Emotion Detection Based on Improved YOLOv8 With Attention Mechanism

Ma, B., Fu, Z., Rakheja, S., Zhao, D., He, W., Ming, W., & Zhang, Z. (2024) · IEEE Access · doi:10.1109/access.2024.3374726 · Cited by 34

SES-YOLOv8n: automatic driving object detection algorithm based on improved YOLOv8

Sun, Y., Zhang, Y., Wang, H., Guo, J., Zheng, J., & Ning, H. (2024) · Signal Image and Video Processing · doi:10.1007/s11760-024-03003-9 · Cited by 33

Advancing Precision Agriculture: Enhanced Weed Detection Using the Optimized YOLOv8T Model

Sharma, S., & Vardhan, M. (2024) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-024-09419-2 · Cited by 33

Coal-rock interface real-time recognition based on the improved YOLO detection and bilateral segmentation network

Xu, S., Jiang, W., Liu, Q., Wang, H., Zhang, J., Li, J., Huang, X. L., & Bo, Y. (2024) · Underground Space · doi:10.1016/j.undsp.2024.07.003 · Cited by 32

Towards automatic anomaly detection and diagnosis in positional arc-directed energy deposition based on deep learning

Cai, Y., Li, C., Chen, H., & Xiong, J. (2025) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2024.12.015 · Cited by 32

Large Language Models for manufacturing

Li, Y., Zhao, H., Jiang, H., Pan, Y., Liu, Z., Wu, Z., Shu, P., Tian, J., Yang, T., Xu, S., et al. (2026) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2026.02.014 · Cited by 108

A Comparative Analysis of Multi-Label Deep Learning Classifiers for Real-Time Vehicle Detection to Support Intelligent Transportation Systems

Shokri, D., Larouche, C., & Homayouni, S. (2023) · Smart Cities · doi:10.3390/smartcities6050134 · Cited by 32

Shine: A deep learning-based accessible parking management system

Neupane, D., Bhattarai, A., Aryal, S., Bouadjenek, M. R., Seok, U.-M., & Seok, J. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122205 · Cited by 47

Artificial Intelligence-Based Hazard Detection in Robotic-Assisted Single-Incision Oncologic Surgery

Rus, G., Andraș, I., Vaida, C. L., Crişan, N., Gherman, B. G., Radu, C., Tucan, P., Iakab, S., Hajjar, N. A., & Pisla, D. L. (2023) · Cancers · doi:10.3390/cancers15133387 · Cited by 31

LH-YOLO: A Lightweight and High-Precision SAR Ship Detection Model Based on the Improved YOLOv8n

Cao, Q., Chen, H., Wang, S., Wang, Y., Fu, H., Chen, Z., & Liang, F. (2024) · Remote Sensing · doi:10.3390/rs16224340 · Cited by 39

YOLOv11-based multi-task learning for enhanced bone fracture detection and classification in X-ray images

Wei, W., Huang, Y., Zheng, J., Rao, Y., Wei, Y., Tan, X., & OuYang, H. (2025) · Journal of Radiation Research and Applied Sciences · doi:10.1016/j.jrras.2025.101309 · Cited by 31

Improved YOLOv8 for High-Precision Detection of Rail Surface Defects on Heavy-Haul Railways

Cao, Y. W., Ma, L., Sun, Y., Wang, F., & Su, S. (2025) · Chinese Journal of Electronics · doi:10.23919/cje.2024.00.200 · Cited by 33

A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images

Ardhianto, P., Subiakto, R. B. R., Lin, C., Jan, Y., Liau, B.-Y., Tsai, J.-Y., Akbari, V. B. H., & Lung, C.-W. (2022) · Sensors · doi:10.3390/s22072786 · Cited by 31

ODRP: a new approach for spatial street sign detection from EXIF using deep learning-based object detection, distance estimation, rotation and projection system

Taşyürek, M. (2023) · The Visual Computer · doi:10.1007/s00371-023-02827-9 · Cited by 31

High-speed YOLOv4-tiny hardware accelerator for self-driving automotive

Valadanzoj, Z., Daryanavard, H., & Harifi, A. (2023) · The Journal of Supercomputing · doi:10.1007/s11227-023-05713-2 · Cited by 30

Microscopic urinary particle detection by different YOLOv5 models with evolutionary genetic algorithm based hyperparameter optimization

Suhail, K., & Brindha, D. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107895 · Cited by 32

Real-Time Multi-Drone Detection and Tracking for Pursuit-Evasion With Parameter Search

Xiao, J., Chee, J. H., & Feroskhan, M. (2024) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2024.3360433 · Cited by 30

Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging

Shi, C., Zhu, D., Zhou, C., Cheng, S., & Zou, C. (2024) · Health Information Science and Systems · doi:10.1007/s13755-024-00285-8 · Cited by 31

Low-light DEtection TRansformer (LDETR): object detection in low-light and adverse weather conditions

Tiwari, A. K., Pattanaik, M., & Sharma, G. K. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-19087-x · Cited by 31

Digital twin of wind turbine surface damage detection based on deep learning-aided drone inspection

Hu, W., Fang, J., Zhang, Y., Liu, Z., Verma, A. S., Liu, H., Cong, F., & Tan, J. (2025) · Renewable Energy · doi:10.1016/j.renene.2024.122332 · Cited by 33

Enhancing Accessibility Through Machine Learning: A Review on Visual and Hearing Impairment Technologies

Patel, P., Pampaniya, S., Ghosh, A., Raj, R., Karuppaih, D., & Kandasamy, S. (2025) · IEEE Access · doi:10.1109/access.2025.3539081 · Cited by 43

Computer Vision in Clinical Neurology

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