SOFTWARE DEVELOPMENT DATA ANNOTATION FOR COMPUTER VISION TASKS: AN OBJECT-ORIENTED APPROACH BASED ON WINFORMS

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Ustenko Vladimir Yurievich
Junior Researcher, Federal State Budget Scientific Institution "Institute of Artificial Intelligence Problems."
283048, Donetsk, Artyoma str., 118 b.
Research interests: computer vision, machine learning, neural networks.

Bondarenko Vitaliy Ivanovich
Candidate of Technical Sciences, Associate Professor; Associate Professor of the Department of Computer Technologies, Faculty of Physics and Technology, DonSU; Senior Researcher, Laboratory of Intelligent Systems and Data Analysis, IAPI.
283001, Russian Federation, Donetsk People's Republic, Donetsk, Teatralny Ave., 13, email mail@vibondarenko.ru.
Research interests: mathematical modeling, transfer processes, deep learning, natural language processing, data mining. Number of scientific publications – more than 100.

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UDC 004.8, 004.93
DOI 10.24412/2413-7383-2024-3-151-163
Language: Russian
Annotation: This work focuses on the development of software for data annotation in COCO (Common Objects in Context) and YOLO (You Only Look Once) formats for computer vision tasks. The creation of high-quality annotated datasets directly impacts the performance of machine learning models, making efficient data annotation software a crucial component of research and development in artificial intelligence. The study identifies key criteria for classifying annotation tools, analyzes the capabilities of modern data annotation tools, and develops the architecture and interaction module of the system.
Keywords: annotation systems, software engineering, computer vision, image processing, metadata, machine learning, datasets.

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Release: 4(35)'2024
Chapter: SYSTEM ANALYSIS, CONTROL AND INFORMATION PROCESSING, STATISTICS
How to quote: Ustenko V.Y. Bondarenko V.I. SOFTWARE DEVELOPMENT DATA ANNOTATION FOR COMPUTER VISION TASKS: AN OBJECT-ORIENTED APPROACH BASED ON WINFORMS [Text] / V.Y. Ustenko V.I. Bondarenko // Problems of artificial intelligence. - 2024. № 4 (35). - P. 151-163. - http://paijournal.guiaidn.ru/ru/2024/4(35)-13.html

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