TASVIRDAN OB’YEKTNI ANIQLASH USULLARI

Авторы

  • Muhriddin Fayziyev Buxoro davlat universiteti
  • Hamza Eshankulov Buxoro davlat universiteti

Ключевые слова:

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

Аннотация

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.

Библиографические ссылки

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Загрузки

Опубликован

2024-04-28

Как цитировать

Fayziyev, M., & Eshankulov , H. (2024). TASVIRDAN OB’YEKTNI ANIQLASH USULLARI. Цифровая трансформация и искусственный интеллект, 2(2), 85–89. извлечено от https://dtai.tsue.uz/index.php/dtai/article/view/v2i212