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ANALYSIS OF THE EFFECTIVENESS OF OBJECT RECOGNITION METHODS IN IMAGES

Автор(ы)
Zhansaya Segizbayeva
Дата публикации
14 декабря 2024 г.
Тип
journal article
Издатель
Al-Farabi Kazakh National University
Журнал
Том
2
Выпуск
4
Первая страница
34
Последняя страница
43
DOI
ISSN
2958-0846
Аннотация
This paper considers the problem of object recognition in images, which is one of the key problems of computer vision. The relevance of the research is due to the wide application of object recognition systems in such areas as security, medicine, robotics, automotive industry and quality control. The research analyses existing recognition methods, including traditional approaches and modern deep learning methods. Their advantages, disadvantages and effectiveness in different environments are evaluated. On the basis of experimental data, the most effective algorithms for application in recognition systems were selected. The results of the work allowed us to propose recommendations for the selection and improvement of methods of object recognition, which helps to improve the accuracy and reliability of such systems. The obtained conclusions can be useful for specialists in the field of computer vision and developers of applications that use recognition technologies.
Темы

object recognition

image recognition

deep learning

Области науки (FoS)

Computer Science

Computer Vision and P...

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W4406063606.pdf

Описание
Полный текст в открытом доступе, лицензия cc-by-nc; источник: https://jpcsit.kaznu.kz/index.php/kaznu/article/download/164/54
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898,32 KB

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