YOLO VA CNN MODELLARI ASOSIDAGI REAL VAQTDA OBYEKTLARNI ANIQLASH TIZIMLARINING: TAHLILIY SHARHI

Mualliflar

  • Kerimov Komil Fikratovich t.f.d. Toshkent Axborot Texnologiyalari Universiteti “Tizimli va amaliy dasturlashtirish” kafedrasi mudiri Muallif
  • Shodmonov Mirjahon Normurod o’g’li “Yangi Oʻzbekiston” universiteti huzuridagi Ilg’or tadqiqotlar instituti tayanch doktoranti Muallif

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Obyektlarni aniqlash, YOLO, CNN.

Abstrak

Sun’iy intellekt sohasi obyektlarni aniqlash texnologiyalariga asoslanadi. Ushbu ilmiy sharhda YOU ONLY LOOK ONCE (YOLO) algoritmi hamda uning takomillashtirilgan versiyalari qisqacha tahlil qilingan. Tadqiqot asosan real vaqt rejimida obyektlarni aniqlash masalasida YOLO algoritmi va konvolyutsion neyron tarmoqlari (CNN)ning qo‘llanilishiga bag‘ishlangan.

Iqtiboslar

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Zhenguang Li; “An improved algorithm for deep learning YOLO network based on Xilinx ZYNQ FPGA”; 2020 International Conference on Culture-oriented Science & Technology (ICCST).

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Nashr qilingan

2026-05-31

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Iqtibos keltirish tartibi

Kerimov , K., & Shodmonov , M. (2026). YOLO VA CNN MODELLARI ASOSIDAGI REAL VAQTDA OBYEKTLARNI ANIQLASH TIZIMLARINING: TAHLILIY SHARHI. Yevroosiyo Akademik Tadqiqotlar Jurnali, 6(5 Part 2), 26-42. https://www.in-academy.uz/index.php/EJAR/article/view/50988
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