INFORMATION MEASUREMENT CRITERIA OF THE IMPORTANCE OF RECOGNITION OBJECTS AND THEIR CALCULATION ALGORITHMS
2024, Articles
2024

INFORMATION MEASUREMENT CRITERIA OF THE IMPORTANCE OF RECOGNITION OBJECTS AND THEIR CALCULATION ALGORITHMS

Articles
Published 2024-09-17
Gulomjon Primovich Jo'rayev
Doctor of Philosophy (PhD) in Technical Sciences, Kashkadarya Regional Center of Pedagogical Excellence , Uzbekistan
Saidkul Khujamurodovich Saparov
PhD student , Tashkent University of Information Technologies named after Muhammad al-Khorazmi , Uzbekistan
Uktamjon Bektashovich Allayarov
Assistant, Tashkent Medical Academy Termez branch
Dilfuza Elmurodovna Rashidova
Assistant, Samarkand Institute of Economics and Service , Uzbekistan
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Keywords

recognition objects, information measurement, computer vision, CNN (Convolutional Neural Network), specificity, accuracy, data processing .

How to Cite

Gulomjon Primovich Jo’rayev, Saidkul Khujamurodovich Saparov, Uktamjon Bektashovich Allayarov, & Dilfuza Elmurodovna Rashidova. (2024). INFORMATION MEASUREMENT CRITERIA OF THE IMPORTANCE OF RECOGNITION OBJECTS AND THEIR CALCULATION ALGORITHMS. Conferencea, 4–10. Retrieved from https://conferencea.org/index.php/conferences/article/view/3502
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Abstract

In this work discusses the context and importance of information dimensions of recognition objects. In the process of recognition, criteria such as the originality, accuracy and relevance of the objects are taken into account. These issues are particularly applicable in the fields of medicine and computer vision. On the other hand, the stages of data selection, processing and training in the process of recognition by CNN algorithms were considered.

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