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Разработка системы для анализа изображений

выпускная квалификационная работа бакалавра

Разработка системы для анализа изображений

Abstract

Тема выпускной квалификационной работы: «Разработка системы для анализа изображений».Целью работы является разработка системы для анализа изображений. В ходе работы были исследованы методы анализа изображений с применением методик машинного обучения.В результате работы была разработано ядро системы для классификации предметов одежды по изображению. Полученные результаты могут быть использованы в качестве основы для проектирования систем распознавания одежды по фотографии или на видеопотоке и применении их для задач как бизнеса, так и некоммерческих организаций.

The topic of the graduate qualification work is «Development of system for image analysis».The purpose of the study is to develop system for image analysis. In scope of the study different approaches for image analysis were researched. Especially machine learning ones.As a result of study, the core of system classifying clothing items by image was developed. Results might be used as a foundation for systems helping to identify clothing items from photos or from video streams. Such systems might be used for business or charity organizations.

Keywords

информационная система, machine learning, information system, neural network, image analysis, компьютерное зрение, машинное обучение, нейронная сеть, анализ изображений, computer vision

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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