Названия:
FACE RECOGNITION AND CAT-DOG CLASSIFICATION: A COMPARATIVE STUDY OF MACHINE LEARNING APPLICATIONS
Автор:
Annagulyyev Shatlyk, Babaniyazova Madina, Myradov Rahman, Sapartach Hojabalkanova
Расположение страниц:
265-269
Язык:
Английский
Аннотация:
This article explores two prominent applications of machine learning: face recognition and cat-dog classification. Face recognition technology, an essential tool in security and identification systems, relies heavily on advanced machine learning algorithms to identify or verify individuals. Similarly, the classification of images—specifically distinguishing between cats and dogs—has become a fundamental problem in computer vision. By examining the commonalities and differences between these applications, this article provides a comprehensive overview of the underlying techniques, their current uses, challenges, and future directions. Additionally, it compares how deep learning models, especially Convolutional Neural Networks (CNNs), have revolutionized both domains, offering new possibilities for AI in real-world applications.