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Deep Learning for Automated Tagging of Fashion Images

  • Patricia GutierrezEmail author
  • Pierre-Antoine Sondag
  • Petar Butkovic
  • Mauro Lacy
  • Jordi Berges
  • Felipe Bertrand
  • Arne Knudson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11131)

Abstract

We present 9 deep learning classifiers to predict Fashion attributes in 4 different categories: apparel (dresses and tops), shoes, watches and luggages. Our prediction system hosts several classifiers working at scale to populate a catalogue of millions of products. We provide details of our models as well as the challenges involved in predicting Fashion attributes in a relatively homogeneous problem space.

Keywords

Deep learning Image recognition Fashion attributes 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Patricia Gutierrez
    • 1
    Email author
  • Pierre-Antoine Sondag
    • 1
  • Petar Butkovic
    • 1
  • Mauro Lacy
    • 1
  • Jordi Berges
    • 1
  • Felipe Bertrand
    • 1
  • Arne Knudson
    • 1
  1. 1.Amazon.comSeattleUSA

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