Virtual data generation with kitchen objects for training neural networks
DOI:
https://doi.org/10.26754/jjii3a.20239049Abstract
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
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Section
Artículos (Tecnologías de la Información y las Comunicaciones)
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Copyright (c) 2023 Javier Fañanás Anaya, Gonzalo López-Nicolás, Carlos Sagüés

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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