dc.contributor.author | Guo, Qicheng | ru |
dc.contributor.author | Li, Bohan | ru |
dc.coverage.spatial | Минск | ru |
dc.date.accessioned | 2025-04-21T07:31:19Z | |
dc.date.available | 2025-04-21T07:31:19Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Guo, 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.uri | https://rep.bntu.by/handle/data/154837 | |
dc.description.abstract | YOLO (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.iso | en | ru |
dc.publisher | БНТУ | ru |
dc.title | Visual target detection algorithm YOLO and its application areas | ru |
dc.type | Article | ru |