Color Naming for Multi-color Fashion Items

  • Vacit Oguz YaziciEmail author
  • Joost van de Weijer
  • Arnau Ramisa
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 747)


There exists a significant amount of research on color naming of single colored objects. However in reality many fashion objects consist of multiple colors. Currently, searching in fashion datasets for multi-colored objects can be a laborious task. Therefore, in this paper we focus on color naming for images with multi-color fashion items. We collect a dataset, which consists of images which may have from one up to four colors. We annotate the images with the 11 basic colors of the English language. We experiment with several designs for deep neural networks with different losses. We show that explicitly estimating the number of colors in the fashion item leads to improved results.


Deep learning Color Multi-label 



This work was supported by TIN2016-79717-R of the Spanish Ministry and the CERCA Programme and the Industrial Doctorate Grant 2016 DI 039 of the Ministry of Economy and Knowledge of the Generalitat de Catalunya.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Vacit Oguz Yazici
    • 1
    • 2
    Email author
  • Joost van de Weijer
    • 1
  • Arnau Ramisa
    • 2
  1. 1.Computer Vision CenterUniversitat Autonoma de BarcelonaBellaterra, BarcelonaSpain
  2. 2.Wide Eyes TechnologiesBarcelonaSpain

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