{"dcterms:modified":"2022-03-16","dcterms:creator":"A Dataverse Instance","@type":"ore:ResourceMap","@id":"https://data.fz-juelich.de/api/datasets/export?exporter=OAI_ORE&persistentId=doi:10.26165/JUELICH-DATA/GCBNMA","ore:describes":{"Title":"EL Dataset of PV modules","fzj:Institute":"IEK-11","fzj:PoF III topic":"Solar cells of the next generation (POF3-121)","fzj:PoF IV topic":"Acquisition before PoF IV (2021-2026) (POF4-898)","Alternative URL":"https://github.com/zae-bayern/elpv-dataset","Author":[{"author:Name":"Buerhop-Lutz, Claudia","author:Affiliation":"ZAE Bayern"},{"author:Name":"Deitsch, Sergiu","author:Affiliation":"Technische Hochschule Nürnberg Georg Simon Ohm"},{"author:Name":"Maier, Andreas","author:Affiliation":"Friedrich-Alexander-Universität Erlangen-Nürnberg"},{"author:Name":"Gallwitz, Florian","author:Affiliation":"Technische Hochschule Nürnberg Georg Simon Ohm"},{"author:Name":"Berger, Stephan","author:Affiliation":"ZAE Bayern"},{"author:Name":"Doll, Bernd","author:Affiliation":"ZAE Bayern"},{"author:Name":"Hauch, Jens","author:Affiliation":"ZAE Bayern"},{"author:Name":"Camus, Christian","author:Affiliation":"ZAE Bayern"},{"author:Name":"Brabec, Christoph J.","author:Affiliation":"ZAE Bayern"}],"citation:Contact":{"datasetContact:Name":"Buerhop-Lutz, Claudia","datasetContact:Affiliation":"Forschungszentrum Jülich","datasetContact:E-mail":"c.buerhop-lutz@fz-juelich.de"},"citation:Description":{"dsDescription:Text":"This repository provides a dataset of solar cell images extracted from high-resolution electroluminescence images of photovoltaic modules.\r\nThe dataset contains 2,624 samples of 300x300 pixels 8-bit grayscale images of functional and defective solar cells with varying degree of degradations extracted from 44 different solar modules. The defects in the annotated images are either of intrinsic or extrinsic type and are known to reduce the power efficiency of solar modules.\r\n\r\nAll images are normalized with respect to size and perspective. Additionally, any distortion induced by the camera lens used to capture the EL images was eliminated prior to solar cell extraction.\r\n\r\nEvery image is annotated with a defect probability (a floating point value between 0 and 1) and the type of the solar module (either mono- or polycrystalline) the solar cell image was originally extracted from.\r\n\r\nThe individual images are stored in the images directory and the corresponding annotations in labels.csv.\r\n\r\n--More explanations in the README file--","dsDescription:Date":"2018"},"Subject":["Computer and Information Science","Earth and Environmental Sciences","Engineering"],"citation:Keyword":{"keyword:Term":"EL-imaging, visual inspection, machine learning"},"Related Publication":[{"Citation":"Buerhop-Lutz, C.; Deitsch, S.; Maier, A.; Gallwitz, F.; Berger, S.; Doll, B.; Hauch, J.; Camus, C. & Brabec, C. J. A Benchmark for Visual Identification of Defective Solar Cells in Electroluminescence Imagery. European PV Solar Energy Conference and Exhibition (EU PVSEC), 2018.","ID Type":"doi","ID Number":"10.4229/35thEUPVSEC20182018-5CV.3.15"},{"Citation":"Deitsch, S.; Buerhop-Lutz, C.; Maier, A. K.; Gallwitz, F. & Riess, C. Segmentation of Photovoltaic Module Cells in Electroluminescence Images. CoRR, 2018, abs/1806.06530","ID Type":"arXiv","ID Number":"1806.06530"},{"Citation":"Deitsch, S.; Christlein, V.; Berger, S.; Buerhop-Lutz, C.; Maier, A.; Gallwitz, F. & Riess, C. Automatic classification of defective photovoltaic module cells in electroluminescence images. Solar Energy, Elsevier BV, 2019, 185, 455-468.","ID Type":"doi","ID Number":"10.1016/j.solener.2019.02.067"}],"citation:Depositor":"Denz, Janine","Deposit Date":"2020-08-06","Kind of Data":"solar cell electroluminescence  images","@id":"doi:10.26165/JUELICH-DATA/GCBNMA","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.5","schema:datePublished":"2020-08-06","schema:name":"EL Dataset of PV modules","schema:dateModified":"2022-03-16 15:29:14.719","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"EL images Dataverse","ore:aggregates":[{"schema:description":"Zip-file of repository","schema:name":"elpv-dataset-master.zip","dvcore:restricted":false,"dvcore:directoryLabel":"github.com/zae-bayern/elpv-dataset","schema:version":1,"dvcore:datasetVersionId":263,"@id":"doi:10.26165/JUELICH-DATA/GCBNMA/89GWQD","schema:sameAs":"https://data.fz-juelich.de/api/access/datafile/:persistentId?persistentId=doi:10.26165/JUELICH-DATA/GCBNMA/89GWQD","@type":"ore:AggregatedResource","schema:fileFormat":"application/zip","dvcore:filesize":93348939,"dvcore:storageIdentifier":"s3://dataverse:173c3a8874c-227c56a1a32f","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"SHA-256","@value":"d6ab63010ebe5e7212dd3218545c2f182a0af791cae99f1381a0283506a7a73e"}}],"schema:hasPart":["doi:10.26165/JUELICH-DATA/GCBNMA/89GWQD"]},"@context":{"Alternative URL":"https://schema.org/distribution","Author":"http://purl.org/dc/terms/creator","Citation":"http://purl.org/dc/terms/bibliographicCitation","Deposit Date":"http://purl.org/dc/terms/dateSubmitted","ID Number":"http://purl.org/spar/datacite/ResourceIdentifier","ID Type":"http://purl.org/spar/datacite/ResourceIdentifierScheme","Kind of Data":"http://rdf-vocabulary.ddialliance.org/discovery#kindOfData","Related Publication":"http://purl.org/dc/terms/isReferencedBy","Subject":"http://purl.org/dc/terms/subject","Title":"http://purl.org/dc/terms/title","author":"https://dataverse.org/schema/citation/author#","citation":"https://dataverse.org/schema/citation/","datasetContact":"https://dataverse.org/schema/citation/datasetContact#","dcterms":"http://purl.org/dc/terms/","dsDescription":"https://dataverse.org/schema/citation/dsDescription#","dvcore":"https://dataverse.org/schema/core#","fzj":"https://jugit.fz-juelich.de/fdm/schemas","keyword":"https://dataverse.org/schema/citation/keyword#","ore":"http://www.openarchives.org/ore/terms/","schema":"http://schema.org/"}}