Erratum: GAN-based augmentation for improving CNN performance of classification of defective photovoltaic module cells in electroluminescence images (IOP Conf. Ser.: Earth Environ. Sci. 354 (012106) DOI: 10.1088/1755-1315/354/1/012106)

Z. Luo; S. Y. Cheng; Q. Y. Zheng

ArticleOPEN ACCESS

Erratum: GAN-based augmentation for improving CNN performance of classification of defective photovoltaic module cells in electroluminescence images (IOP Conf. Ser.: Earth Environ. Sci. 354 (012106) DOI: 10.1088/1755-1315/354/1/012106)

Luo Z
Cheng S
Zheng Q

IOP Conference Series: Earth and Environmental Science

DOI: 10.1088/1755-1315/354/1/012132

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Abstract

The corresponding author acknowledges not correctly referencing the content taken from https://github.com/zae-bayern/elpv-dataset. The author apologises for the error.

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Luo, Z., Cheng, S. Y., & Zheng, Q. Y. (2019, October 25). Erratum: GAN-based augmentation for improving CNN performance of classification of defective photovoltaic module cells in electroluminescence images (IOP Conf. Ser.: Earth Environ. Sci. 354 (012106) DOI: 10.1088/1755-1315/354/1/012106). IOP Conference Series: Earth and Environmental Science. IOP Publishing Ltd. https://doi.org/10.1088/1755-1315/354/1/012132

Erratum: GAN-based augmentation for improving CNN performance of classification of defective photovoltaic module cells in electroluminescence images (IOP Conf. Ser.: Earth Environ. Sci. 354 (012106) DOI: 10.1088/1755-1315/354/1/012106)

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