Virtual data generation with kitchen objects for training neural networks

Authors

  • Javier Fañanás Anaya Grupo de robótica, percepción y tiempo real (RoPeRT)
  • Gonzalo López-Nicolás
  • Carlos Sagüés

DOI:

https://doi.org/10.26754/jjii3a.20239049

Abstract

Neural network-based vision algorithms require large amounts of precisely labeled data. Obtaining this data manually is a very time consuming process. In this work we propose to use game engines to generate automatically labeled images for training neural networks.

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Published

2023-07-07

Issue

Section

Artículos (Tecnologías de la Información y las Comunicaciones)

How to Cite

Fañanás Anaya, J., López-Nicolás, G., & Sagüés, C. (2023). Virtual data generation with kitchen objects for training neural networks. Jornada De Jóvenes Investigadores Del I3A, 11. https://doi.org/10.26754/jjii3a.20239049