PEARL TF-PV, thin-film modules, shunts and droplets

DOI

A training and testing dataset

The dataset contains labelled images of thin-film modules collected during the PEARL project.

This dataset is used in this paper: @article{sovetkin2020encoder, title={Encoder-decoder semantic segmentation models for electroluminescence images of thin-film modules}, author={Sovetkin, Evgenii and Weber, Thomas and Achterberg, Elbert Jan and Pieters, Bart Elger}, journal={IEEE Journal of Photovoltaics}, year={2020}, }

Structure of the data

The data is split onto 3 groups: training, testing and final_evaluation. Each group contains labelled images for droplets and shunts.

All images are located in "images" directory. All labelled images are located in "labels" directory.

Identifier
DOI https://doi.org/10.34730/e19fe0f0bc0e4f1b8e05b28e977934c9
Source https://b2share.fz-juelich.de/records/e19fe0f0bc0e4f1b8e05b28e977934c9
Metadata Access https://b2share.fz-juelich.de/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.fz-juelich.de:b2rec/e19fe0f0bc0e4f1b8e05b28e977934c9
Provenance
Creator Elbert Jan Achterberg; Evgenii Sovetkin; Bart E. Pieters; Thomas Weber
Publisher EUDAT B2SHARE
Publication Year 2020
Rights Creative Commons Attribution-NonCommercial-NoDerivs (CC-BY-NC-ND); info:eu-repo/semantics/openAccess
OpenAccess true
Contact b.pieters(at)fz-juelich.de
Representation
Format gz
Size 962.9 MB; 1 file
Discipline 5.6.23 → Engineering → Computer Science