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

Authors

  • 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

Keywords:

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

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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Published

2024-09-17

Issue

2024: 30th Tech-Fest:Spain September

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

INFORMATION MEASUREMENT CRITERIA OF THE IMPORTANCE OF RECOGNITION OBJECTS AND THEIR CALCULATION ALGORITHMS. (2024). Conferencea , 4-10. https://conferencea.org/index.php/conferences/article/view/3502

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