About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Design, Learning, and Innovation. 8th EAI International Conference, DLI 2023, Aalborg, Denmark, November 6–7, 2023, Proceedings

Research Article

An Automated Tool for Creating Clothing Catalog Databases: MyEyes–Fashion

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-67307-8_5,
        author={Mariana Carvalho and Daniel Rocha and V\^{\i}tor Carvalho},
        title={An Automated Tool for Creating Clothing Catalog Databases: MyEyes--Fashion},
        proceedings={Design, Learning, and Innovation. 8th EAI International Conference, DLI 2023, Aalborg, Denmark, November 6--7, 2023, Proceedings},
        proceedings_a={DLI},
        year={2024},
        month={8},
        keywords={Blind People Garments Image Segmentation Neural Networks Deep Learning},
        doi={10.1007/978-3-031-67307-8_5}
    }
    
  • Mariana Carvalho
    Daniel Rocha
    Vítor Carvalho
    Year: 2024
    An Automated Tool for Creating Clothing Catalog Databases: MyEyes–Fashion
    DLI
    Springer
    DOI: 10.1007/978-3-031-67307-8_5
Mariana Carvalho1, Daniel Rocha1, Vítor Carvalho1,*
  • 1: 2Ai - School of Technology
*Contact email: vcarvalho@ipca.pt

Abstract

In the field of object identification and segmentation the development of automated dataset creation tools holds significant importance. Recognizing the necessity for abundant data, these tools serve to lighten the manual load of data organization, amplifying efficiency and enabling researchers to focus on the essence of their analysis. Integrated into a project that aims to improve the quality of life and well-being of blind people, this paper presents the steps of creating a tool capable of facilitating the data augmentation of databases to feed artificial intelligence algorithms in the identification and extraction of its features. Using a computer vision detection system, a tool was developed to identify and extract garments and catalog them in a database. For user interaction it was created an interface that allows the insertion of elements in the database and the extraction of necessary resources for easy dataset creation. In the segmentation and classification algorithm of the garments, it was obtained an accuracy between 75% and 100% in its recognition.

Keywords
Blind People Garments Image Segmentation Neural Networks Deep Learning
Published
2024-08-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-67307-8_5
Copyright © 2023–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL