Title:

OS20-4 Acceleration of training dataset generation by 3D scanning of objects

Publication: ICAROB2020
Volume: 25
Pages: 197-200
ISSN: 2188-7829
DOI: 10.5954/ICAROB.2020.OS20-4
Author(s): Yushi Abe, Yutaro Ishida, Tomohiro Ono, Hakaru Tamukoh
Publication Date: January 13, 2020
Keywords: dataset generation, CNN, Home Service Robot, Image recognition
Abstract: A semi-automatic dataset generation system is effective to prepare a training dataset for object recognition in a personal residence. However, a semi-automatic that method requires significant manual processing to capture images of household objects. Therefore, we apply three-dimensional object scanning to eliminate manual processing and speedup dataset generation. Experimental results demonstrate that the proposed method can generate the dataset 40 minutes faster than a comparable previous method that did not require manual processing.
PDF File: https://alife-robotics.co.jp/members2020/icarob/data/html/data/OS/OS20/OS20-4.pdf
Copyright: © The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
See for details: https://creativecommons.org/licenses/by-nc/4.0/

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