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The dataverse of the Institute of Energy and Climate Research – Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (IEK-11)
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PNG Image - 301.6 KB - SHA-256: c7bb9d5c405cc417b0da5b7770cdac415a6755955cbda4ba220bc2a44ceedef0
PNG Image - 277.6 KB - SHA-256: 514055cda02a4f595552a04bbd2fbdbd7ec7d22e74554b48447659887c1314e9
PNG Image - 279.7 KB - SHA-256: 38e189f06e6acd5e768a63a77387cf57ef27ad4bcded41c7073657fa6b78621f
PNG Image - 277.1 KB - SHA-256: debf5453b6f70b079c82a9b39dcc88558581222a2dfae822398bfc25c70d7b15
Comma Separated Values - 43.6 KB - SHA-256: 69d0ad11f6a0667d85dfef622a1f3ac67a7d6da908131d09c505ca5fcaccfa90
Markdown Text - 1.1 KB - SHA-256: 83f24cc1f9991283cc577965c054d18580a50f268e96c999f1db9caab234b20d
Aug 6, 2020 - EL images Dataverse
Buerhop-Lutz, Claudia; Deitsch, Sergiu; Maier, Andreas; Gallwitz, Florian; Berger, Stephan; Doll, Bernd; Hauch, Jens; Camus, Christian; Brabec, Christoph J., 2020, "EL Dataset of PV modules", https://doi.org/10.26165/JUELICH-DATA/GCBNMA, Jülich DATA, V1
This repository provides a dataset of solar cell images extracted from high-resolution electroluminescence images of photovoltaic modules. The dataset contains 2,624 samples of 300x300 pixels 8-bit grayscale images of functional and defective solar cells with varying degree of de...
ZIP Archive - 89.0 MB - SHA-256: d6ab63010ebe5e7212dd3218545c2f182a0af791cae99f1381a0283506a7a73e
Zip-file of repository
EL images Dataverse(Forschungszentrum Jülich)
Aug 6, 2020
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