Journal of Clothing Science
Journal of Clothing Science
           

2025, Vol. 10, No. 2. - go to content...

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Petrosova I.A., Bryzgalova T.S., Skryl M.K., Goguzev D.N. Development of a system for creating a database of images with clothing fit defects. Journal of Clothing Science. 2025; 10(2). Available at: https://kostumologiya.ru/PDF/24TLKL225.pdf (in Russian).


Development of a system for creating a database of images with clothing fit defects

Petrosova Irina Alexandrovna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: irina76802@yandex.ru

Bryzgalova Tatiana Sergeevna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: tanuxa090996@mail.ru

Skryl Margarita Konstantinovna
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: margaritaskryl@yandex.ru

Goguzev Daniil Nikolaevich
Russian State University named A.N. Kosygin (Technologies. Design. Art), Moscow, Russia
E-mail: goguzev_daniil.gonor@mail.ru

Abstract. The article presents a technique for creating a database of images of clothing fit defects using passive information collection methods. The study covers three main approaches: keyword search, analysis of scrap archives, and collection of user images from trading platforms.

Passive methods have demonstrated their effectiveness, making it possible to collect more than 2 500 images in 3 months. This approach proved to be less costly compared to the organization of special filming. Of particular value is the data from marketplaces, reflecting real operational problems that are difficult to reproduce artificially.

The created database classifies defects into five main types. The database is implemented in the format of interactive forms, and it is possible to filter by several parameters, including product type, size group, and material.

The prospects of the work are related to the addition of data obtained by active methods, such as 3D modeling.

Keywords: database; fitting defects; passive methods; quality control; garments; image systematization; artificial intelligence

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ISSN 2587-8026 (Online)