Ilim ha’m ja’miyet № 5-1 (2024) · Саҳифаҳои 24-26

INFORMATIKA SOHASIDA YOLO (YOU ONLY LOOK ONCE) ALGORITM METHODLARIDAN FOYDALANILGAN HOLDA BARCHA TURDAGI RASM TASVIRLAR TURINI ANIQLASH

Madolimov, F.E.

Дар манбаъ хондан

Аннотатсия

This paper validated the use of YOLO to identify image types through object detection. YOLOʻs fast processing and high accuracy make it a valuable tool in image classification tasks. Although there are difficulties in separating images with overlapping object categories, the overall results are promising. The findings show that with further improvement, YOLO can serve as a robust solution for automated image type detection in various practical applications.

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Манбаи метамаълумот: бойгонии OAI-PMH-и маҷалла · Sindex матни пурраро нигоҳ намедорад, ба манбаъ пайванд медиҳад.

Иқтибос гирифтан

APA 7
Madolimov, F.E. (2024). INFORMATIKA SOHASIDA YOLO (YOU ONLY LOOK ONCE) ALGORITM METHODLARIDAN FOYDALANILGAN HOLDA BARCHA TURDAGI RASM TASVIRLAR TURINI ANIQLASH. Ilim ha’m ja’miyet, (5-1), 24-26.
GOST R 7.0.5
Madolimov, F.E. INFORMATIKA SOHASIDA YOLO (YOU ONLY LOOK ONCE) ALGORITM METHODLARIDAN FOYDALANILGAN HOLDA BARCHA TURDAGI RASM TASVIRLAR TURINI ANIQLASH // Ilim ha’m ja’miyet. 2024. № 5-1. С. 24-26.
BibTeX
@article{f.e.2024,
  author  = {Madolimov, F.E.},
  title   = {INFORMATIKA SOHASIDA YOLO (YOU ONLY LOOK ONCE) ALGORITM METHODLARIDAN FOYDALANILGAN HOLDA BARCHA TURDAGI RASM TASVIRLAR TURINI ANIQLASH},
  journal = {Ilim ha’m ja’miyet},
  year    = {2024},
  number  = {5-1},
  pages   = {24-26}
}
RIS
TY  - JOUR
AU  - Madolimov, F.E.
TI  - INFORMATIKA SOHASIDA YOLO (YOU ONLY LOOK ONCE) ALGORITM METHODLARIDAN FOYDALANILGAN HOLDA BARCHA TURDAGI RASM TASVIRLAR TURINI ANIQLASH
JO  - Ilim ha’m ja’miyet
PY  - 2024
IS  - 5-1
SP  - 24
EP  - 26
ER  -