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dc.contributor.authorGuo, Qichengru
dc.contributor.authorLi, Bohanru
dc.coverage.spatialМинскru
dc.date.accessioned2025-04-21T07:31:19Z
dc.date.available2025-04-21T07:31:19Z
dc.date.issued2024
dc.identifier.citationGuo, Qicheng. Visual target detection algorithm YOLO and its application areas / Qicheng Guo, Bohan Li // Новые горизонты – 2024 : сборник материалов XI Белорусско-китайского молодежного инновационного форума, 21-22 ноября 2024 года / Белорусский национальный технический университет. – Минск : БНТУ, 2024. – Т. 1. – С. 65-66.ru
dc.identifier.urihttps://rep.bntu.by/handle/data/154837
dc.description.abstractYOLO (You Only Look Once) is an object detection algorithm based on deep neural networks, which is used to identify and locate multiple objects in real time in images or videos. The main features of YOLO are fast speed and high accuracy, which can achieve fast object detection in real-time scenarios. YOLO is a fast and accurate object detection algorithm, which is widely used in computer vision fields, including real-time video analysis, autonomous driving, security monitoring, intelligent transportation, defect detection, etc.ru
dc.language.isoenru
dc.publisherБНТУru
dc.titleVisual target detection algorithm YOLO and its application areasru
dc.typeArticleru


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