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    Light-weighted vehicle detection network based on improved YOLOv3-tiny by Pingshu Ge, Lie Guo, Danni He, Liang Huang

    Published 2022-03-01
    “…Experimental results show that the average accuracy is improved by 14.09% compared with the traditional YOLOv3-tiny, reaching 93.66%, and can reach 13 fps on the embedded device.…”
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    A Lightweight Person Detector for Surveillance Footage Based on YOLOv8n by Qicheng Wang, Guoqiang Feng, Zongzhe Li

    Published 2025-01-01
    “…First, the MSBlock module was introduced into YOLOv8n. Then, a series of modifications were made to the MSBlock structure. …”
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    BerryPortraits: Phenotyping Of Ripening Traits in cranberry (Vaccinium macrocarpon Ait.) with YOLOv8 by Jenyne Loarca, Tyr Wiesner-Hanks, Hector Lopez-Moreno, Andrew F. Maule, Michael Liou, Maria Alejandra Torres-Meraz, Luis Diaz-Garcia, Jennifer Johnson-Cicalese, Jeffrey Neyhart, James Polashock, Gina M. Sideli, Christopher F. Strock, Craig T. Beil, Moira J. Sheehan, Massimo Iorizzo, Amaya Atucha, Juan Zalapa

    Published 2024-11-01
    “…Abstract BerryPortraits (Phenotyping of Ripening Traits) is open source Python-based image-analysis software that rapidly detects and segments berries and extracts morphometric data on fruit quality traits such as berry color, size, shape, and uniformity. Utilizing the YOLOv8 framework and community-developed, actively-maintained Python libraries such as OpenCV, BerryPortraits software was trained on 512 postharvest images (taken under controlled lighting conditions) of phenotypically diverse cranberry populations (Vaccinium macrocarpon Ait.) from the two largest public cranberry breeding programs in the U.S. …”
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    Advanced AI-driven detection of interproximal caries in bitewing radiographs using YOLOv8 by Mahsa Bayati, Berhrouz Alizadeh Savareh, Hojjat Ahmadinejad, Farzaneh Mosavat

    Published 2025-02-01
    “…Thus, the present study aimed to develop a deep learning-based AI model using the YOLOv8 algorithm for improving interproximal caries detection in bitewing radiographs. …”
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    AquaYOLO: Enhancing YOLOv8 for Accurate Underwater Object Detection for Sonar Images by Yanyang Lu, Jingjing Zhang, Qinglang Chen, Chengjun Xu, Muhammad Irfan, Zhe Chen

    Published 2025-01-01
    “…This paper introduces AquaYOLO, an enhanced YOLOv8 version specifically designed to improve object detection accuracy in underwater sonar images. …”
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    Self-Correction Ship Tracking and Counting with Variable Time Window Based on YOLOv3 by Chun Liu, Jian Li

    Published 2021-01-01
    “…Automatic ship detection, recognition, and counting are crucial for intelligent maritime surveillance, timely ocean rescue, and computer-aided decision-making. YOLOv3 pretraining model is used for model training with sample images for ship detection. …”
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    Mobile Application Utilizing YOLOv8 for Real-Time Urban Traffic Data Collection by Charef Ayoub, Jarir Zahi, Quafafou Mohamed

    Published 2025-01-01
    “…The application is engineered on the robust YOLOv8 platform for mobile devices, leveraging smartphone cameras to provide real-time observations of traffic conditions and vehicle counts with a notable accuracy of 93%. …”
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