kaz29Вестник Казахстанско-Британского технического университетаHerald of the Kazakh-British Technical University1998-66882959-8109Казахстанско-Британский Технический Университет10.55452/1998-6688-2025-22-1-74-83kaz29-1732Research ArticleКОМПЬЮТЕРНЫЕ НАУКИCOMPUTER SCIENCEНАБОР ДАННЫХ ИЗОБРАЖЕНИЙ ДЛЯ ОБНАРУЖЕНИЯ И КЛАССИФИКАЦИИ ВОЕННОЙ ТЕХНИКИ (НДОКВТ)AN IMAGE DATASET FOR MILITARY VEHICLE DETECTION AND CLASSIFICATION (DMVDC)https://orcid.org/0009-0003-2074-3629СкаковМ. К.SkakovM.

 докторант 

 г. Астана 

 PhD student 

 050040, Almaty 

skakov90@gmail.comhttps://orcid.org/0000-0001-7891-242XИсламгожаевТ. У.IslamgozhayevT.

 PhD, ассист. профессор 

 г. Астана 

 PhD, assistant professor 

 010000, Astana 

talgat.islamgozhayev@astanait.edu.kzhttps://orcid.org/0000-0002-6381-9350АбдилдаеваА. А.AbdildayevaA. A.

 PhD, ассоц. профессор 

 г. Астана 

 

 050040, Almaty 

asselabdildayeva5@gmail.comКазахский национальный университет им. аль-ФарабиКазахстанAl-Farabi Kazakh National UniversityKazakhstanAstana IT UniversityКазахстанAstana IT UniversityKazakhstan2025230320252217483Copyright © Скаков М.К., Исламгожаев Т.У., Абдилдаева А.А., 20252025Скаков М.К., Исламгожаев Т.У., Абдилдаева А.А.Skakov M., Islamgozhayev T., Abdildayeva A.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.kbtu.edu.kz/jour/article/view/1732

Технология интеллектуального обнаружения объектов военных транспортных средств уже стала основой для задач разведки и отслеживания оружия и оборудования, что необходимо для осведомленности о ситуации в современных интеллектуальных войнах. За последние два десятилетия было собрано множество наборов данных изображений военных транспортных средств, основное внимание в которых уделялось классификации различных категорий военных транспортных средств, и почти все они недоступны общественности, а доступные имеют проблемы с качеством аннотаций. В ответ на отсутствие набора данных и качество существующих общедоступных наборов данных мы предлагаем специализированный набор данных, основанный на собственной коллекции изображений, а также на общедоступных. Для разработки методов автоматического обнаружения военных транспортных средств различных категорий и отличия их от гражданских мы создали новый набор изображений военных транспортных средств (НДОКВТ). Он состоит из 5899 изображений военных транспортных средств, собранных с использованием трех различных методов: автоматизированного скрапинга, ручного подбора результатов поиска изображений и техник увеличения данных. Насколько нам известно, наш набор данных НДОКВТ является единственным общедоступным набором данных военных транспортных средств, который учитывает скрытые и частично видимые объекты. Этот набор данных будет способствовать созданию моделей компьютерного зрения для обнаружения военных транспортных средств.

The technology of intelligent detection of military vehicle objects has already become the foundation for tasks related to intelligence and tracking of weapons and equipment, which is essential for situational awareness in modern intelligent warfare. Over the past two decades, numerous datasets of military vehicle images have been collected, primarily focusing on the classification of various categories of military vehicles. However, almost all these datasets are not publicly available, and the publicly available ones suffer from annotation quality issues. To address the lack of datasets and the quality of existing public datasets, we propose a specialized dataset based on our own collection of images, as well as publicly available ones. To develop methods for automatic detection of various categories of military vehicles and distinguishing them from civilian vehicles, we created a new dataset for military vehicle detection and classification (DMVDC). It consists of 5,899 images of military vehicles collected using three different methods: automated scraping, manual selection of image search results, and data augmentation techniques. To the best of our knowledge, our DMVDC [1] dataset is the only publicly available dataset of military vehicles that consider hidden and partially visible objects. This dataset will contribute to the development of computer vision models for detecting military vehicles.

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The authors declare that there are no conflicts of interest present.