Please use this identifier to cite or link to this item: http://lib.kart.edu.ua/handle/123456789/18531
Title: Overview of state-of-the-art image object detection and classification approaches
Authors: Sadovnykov, B.
Zhuchenko, O.
Perets, K.
Issue Date: 2023
Publisher: Український державний університет залізничного транспорту
Citation: Sadovnykov B. Overview of state-of-the-art image object detection and classification approaches / В. Sadovnykov, О. Zhuchenko, К. Perets // Інформаційно-керуючі системи на залізничному транспорті : тези стендових доповідей та виступів учасників 36-ї Міжнародної науково-практичної конференції "Інформаційно-керуючі системи на залізничному транспорті" (Харків, 16-17 листопада, 2023 р.). – 2023. – № 3 (додаток). – С. 9-10.
Abstract: Problem of object detection and classification has always been a pretty complex and current topic in the computer vision area. A proper solution of this problem will give us a lot of different quality of life improvements. First of all it’s a huge enhancement in the automotive area, manufacturing automation, city traffic control, different kinds of tasks related to children activity monitoring, and this list can be extended even further. Under the “proper” word we mean that object detection and classification algorithms should have good accuracy, ability to process data in real time and save accuracy with some noises, work with low quality input images, and different lighting.
URI: http://lib.kart.edu.ua/handle/123456789/18531
ISSN: 1681-4886 (print); 2413-3833(online)
Appears in Collections:Том 28 № 3 (додаток)

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