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

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

Issue

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

Section

Artículos (Tecnologías Industriales)