Automatic Image Dataset Generation for Footwear Detection

Authors

  • Javier Martínez Cesteros University of Zaragoza
  • Gonzalo López Nicolás University of Zaragoza

DOI:

https://doi.org/10.26754/jji-i3a.003547

Abstract

In this work, we explore the problem of object detection in the shoe manufacturing application. We propose different methods for the automatic or semi-automatic generation of image datasets. Our approach avoids the time consuming task of collecting labelled images, which is required for training neural networks.

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Author Biographies

  • Javier Martínez Cesteros, University of Zaragoza

    Robotics, Perception and Real Time Group (RoPERT), Aragón Institute of Engineering Research (I3A), University of Zaragoza

  • Gonzalo López Nicolás, University of Zaragoza

    Robotics, Perception and Real Time Group (RoPERT), Aragón Institute of Engineering Research (I3A), University of Zaragoza

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Published

2019-05-20

Issue

Vol. 7: Actas de la VIII Jornada de Jóvenes Investigadores del I3A - 6 de junio de 2019

Section

Artículos (Tecnologías Industriales)

How to Cite

Martínez Cesteros, J., & López Nicolás, G. (2019). Automatic Image Dataset Generation for Footwear Detection. Jornada De Jóvenes Investigadores Del I3A, 7. https://doi.org/10.26754/jji-i3a.003547