TASVIRDAN OB’YEKTNI ANIQLASH USULLARI

Authors

  • Fayziyev Muhriddin Bahriddin o‘g’li Buxoro davlat universiteti
  • Eshankulov Hamza Ilhomovich Buxoro davlat universiteti

Keywords:

sun’iy intellekt, kompyuter ko‘rish, ob’yektni aniqlash, mashinali o'qitish, chuqur o‘qitish, algoritm, CNN, YOLO

Abstract

Ushbu maqolada tasvirdan ob’yektni aniqlash masalalari va algoritmlari, xususan, R-CNN, Faster R-CNN va YOLO algoritmlari, algoritmlarning tasvirdan ob’yektni aniqlashdagi samaradorligi tahlil qilingan. Algoritmlarni taqqoshlashda YOLO algoritmining YOLOv3 timsoli tanlab olindi, chunki, bu algoritm YOLO ning YOLOv1 va YOLOv2 timsollariga nisbatan sodda va tezroq ishlaydi. Tanlab olingan tasvirdan ob’yektni aniqlash modelini o‘rgatish (o‘qitish) uchun COCO ma’lumotlar to‘plamidan foydalanildi hamda modelni o‘qitish va natijalarni olish Colab Notebookda (https://colab.research.google.com/) amalga oshirildi.

References

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Published

2024-04-28

How to Cite

Fayziyev, M., & Eshankulov , H. (2024). TASVIRDAN OB’YEKTNI ANIQLASH USULLARI. DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, 2(2), 85–89. Retrieved from https://dtai.tsue.uz/index.php/dtai/article/view/v2i212