ТАСВИРЛАРНИ ТАСНИФЛАШДА ҚЎЛЛАНИЛАДИГАН УСУЛЛАР
Keywords:
Tasvirlarni tasniflash, sun'iy intellekt, mashinali o'qitish, an'anaviy usullar, CNN, Vision Transformer, gibrid usullar, kompyuterli ko'rish, konvolyutsiya qatlamlari, SIFT, HOG, belgilarni ajratish.Abstract
The article studies modern methods used in image classification. Classification
methods such as traditional methods, CNN (Convolutional Neural Network), Vision Transformer
(ViT) and hybrid approaches are compared. The specific features of each method, areas of
application, and their advantages and disadvantages are shown. The results of the study are
important in choosing the appropriate method for processing image data.
References
Mamatov N., Sultanov P., Jalelova M., Samijonov A. 2D Image Processing Algorithms for Kidney Transplantation // Scientific Collection «InterConf». – 2023. – № 184. – P. 468–474.
Mamatov N., Jalelova M., Samijonov B. Tasvir obyektlarini segmentatsiyalashning mintaqaga asoslangan usullari // Modern Science and Research. – 2024. – Vol. 3, No. 1. – P. 1–4.
Mamatov N.S., Jalelova M.M., Tojiboyeva S.X., Samijonov B.N. Sun’iy yo‘ldoshdan olingan tasvirdagi dala maydoni chegaralarini aniqlash usullari // Al-Farg‘oniy avlodlari elektron ilmiy jurnali. – 2023.