Генерування зображень номерних знаків методами глибинного навчання

dc.contributor.advisor	Швай, Надія
dc.contributor.author	Марчук, Владислав
dc.date.accessioned	2024-03-21T08:45:09Z
dc.date.available	2024-03-21T08:45:09Z
dc.date.issued	2023
dc.description.abstract	The main objective of this thesis is to develop a software application that utilizes the method of unpaired image-to-image translation for generating Ukrainian license plate images. To achieve this objective, the following research questions will be addressed: How can the method of unpaired image-to-image translation be adapted for generating Ukrainian license plates? What deep learning architecture and training procedure should be employed to achieve high-quality and realistic license plate generation? How does the generated output compare to real Ukrainian license plates in terms of visual quality and similarity? What are the limitations and potential challenges of the proposed approach?	uk_UA
dc.identifier.uri	https://ekmair.ukma.edu.ua/handle/123456789/28323
dc.language.iso	uk	uk_UA
dc.status	first published	uk_UA
dc.subject	GAN-based methods	uk_UA
dc.subject	Conditional GAN (CGAN)	uk_UA
dc.subject	AC-GAN	uk_UA
dc.subject	bi-Lipschitz mapping	uk_UA
dc.subject	Alzheimer's disease	uk_UA
dc.subject	master thesis	uk_UA
dc.title	Генерування зображень номерних знаків методами глибинного навчання	uk_UA
dc.type	Other	uk_UA

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