VIDEO KUZATUV VOSITALARIDAN OLINGAN VIDEOLARDA AVTOTRANSPORT VOSITALARINI ANIQLASH VA HISOBLASH OBYEKTNI ANIQLASH UCHUN PYTHON DASTURLASH TILIDA YOLOV8 KUTUBXONASIDAN FOYDALANISH
https://doi.org/10.5281/zenodo.15682130
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YOLOv8 veb-ilovalar, API , ultralytics, MixUp, MosaicAbstrak
Kompyuter ko‘rish olamida YOLOv8 obyektini aniqlash haqiqatan ham o‘zining o‘ta aniqligi va tezligi bilan ajralib turadi. Bu YOLO seriyasining eng soʻnggi versiyasi boʻlib, real vaqtda obʼyektlarni aniqlay olishi bilan mashhur. YOLOv8 veb-ilovalar, API-lar va tasvir tahlilini yuqori darajadagi obyektlarni aniqlash bilan keyingi bosqichga olib chiqadi. Ushbu maqolada biz yolov8 obyektni aniqlash uchun qanday ishlatilishini ko‘rib chiqamiz.
Yuklashlar
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Xiao Y., Tian Z., Yu J. et al. A review of object detection based on deep learning. Multimed Tools Appl 79, 23729–23791 (2020). https://doi.org/10.1007/s11042-020- 08976-6
Sampath V., Maurtua I., Aguilar Martín J.J. et al. A survey on generative adversarial networks for imbalance problems in computer vision tasks. J Big Data 8, 27 (2021). https://doi.org/10.1186/s40537-021- 00414-0
Carbonell, Jaime G., Ryszard S. Michalski, and Tom M. Mitchell. "An overview of machine learning." Machine learning (1983): 3-23.
Javlon K., Erali M. STRUCTURE AND PRINCIPLE OF OPERATION OF FULLY CONNECTED NEURAL NETWORKS //International Journal of Contemporary Scientific and Technical Research. – 2023. – С. 136-141.
Mustafoyev E., Abdurasulov A. KONVOLYUTSION NEYRON TARMOQLAR (KNT) QO'LLANILISHI: https://doi. org/10.5281/zenodo. 15316208 // Xalqaro fan tarmoqlari jurnali. – 2025. – T. 1. – №. 5. – S. 48-51.
Muxamadiyev A.Sh., Abdullayev Y.Y. TASVIRDAGI OB’YEKTLARNI ANIQLASH USULLARI // Экономика и социум. 2022. No12-2 (103).
