Dataset Open Access
Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset
Arbash, Elias;
Afifi, Ahmed Jamal Mohammaed;
Belahsen, Ymane;
Fuchs, Margret;
Ghamisi, Pedram;
Scheunders, Paul;
Gloaguen, Richard
DataCite XML Export
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<identifier identifierType="DOI">10.14278/rodare.3668</identifier>
<creators>
<creator>
<creatorName>Arbash, Elias</creatorName>
<givenName>Elias</givenName>
<familyName>Arbash</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0000-2187-9171</nameIdentifier>
<affiliation>Helmholtz-Institut Freiberg für Ressourcentechnologie - University of Antwerb</affiliation>
</creator>
<creator>
<creatorName>Afifi, Ahmed Jamal Mohammaed</creatorName>
<givenName>Ahmed Jamal Mohammaed</givenName>
<familyName>Afifi</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6782-6753</nameIdentifier>
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<creator>
<creatorName>Belahsen, Ymane</creatorName>
<givenName>Ymane</givenName>
<familyName>Belahsen</familyName>
<affiliation>National School of Applied Sciences of Oujda</affiliation>
</creator>
<creator>
<creatorName>Fuchs, Margret</creatorName>
<givenName>Margret</givenName>
<familyName>Fuchs</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7210-1132</nameIdentifier>
<affiliation>Helmholtz-Institut Freiberg für Ressourcentechnologie</affiliation>
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<creator>
<creatorName>Ghamisi, Pedram</creatorName>
<givenName>Pedram</givenName>
<familyName>Ghamisi</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1203-741X</nameIdentifier>
<affiliation>Helmholtz-Institut Freiberg für Ressourcentechnologie</affiliation>
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<creator>
<creatorName>Scheunders, Paul</creatorName>
<givenName>Paul</givenName>
<familyName>Scheunders</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2447-4772</nameIdentifier>
<affiliation>University of Antwerp</affiliation>
</creator>
<creator>
<creatorName>Gloaguen, Richard</creatorName>
<givenName>Richard</givenName>
<familyName>Gloaguen</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4383-473X</nameIdentifier>
<affiliation>Helmholtz-Institut Freiberg für Ressourcentechnologie</affiliation>
</creator>
</creators>
<titles>
<title>Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset</title>
</titles>
<publisher>Rodare</publisher>
<publicationYear>2025</publicationYear>
<subjects>
<subject>circular economy</subject>
<subject>automated data processing</subject>
<subject>optical sensors</subject>
<subject>Hyperspectral Imaging</subject>
<subject>HSI</subject>
<subject>Hyperspectral Imaging classification</subject>
<subject>recycling</subject>
<subject>E-waste</subject>
<subject>hyperspectral imaging dataset</subject>
<subject>RGB dataset</subject>
<subject>conveyor belt</subject>
<subject>sensors</subject>
<subject>spectrometers</subject>
<subject>machine learning</subject>
<subject>deep learning</subject>
<subject>Electrolyzers</subject>
<subject>open source</subject>
<subject>digitalization</subject>
<subject>Transformers</subject>
</subjects>
<dates>
<date dateType="Issued">2025-04-07</date>
</dates>
<resourceType resourceTypeGeneral="Dataset"/>
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<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.3667</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/hzdr</relatedIdentifier>
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<rightsList>
<rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract"><p><strong>Electrolyzers-HSI Dataset</strong></p>
<p>Description:</p>
<p>The Electrolyzers-HSI dataset is a multiscene RGB-Hyperspectral benchmark dataset comprising 55 scene of shredded Electrolyzers samples. The RGB images are collected using a Teledyne Dalsa C4020 camera on a conveyor belt, while hyperspectral images (HSI) are acquired with a FENIX spectrometer. The HSI data contains 450 bands in the VNIR and SWIR range [400 - 2500]nm.</p>
<p><strong>Data Format</strong></p>
<ul>
<li>RGB Images: .jpg files</li>
<li>Ground Truth (GT): .png files. They appear black since the values are between 0 and 5. Correct visualization is done via script.</li>
<li>HSI Data: Each hyperspectral data cube .img file is accompanied by a .hdr file.</li>
</ul>
<p><strong>Folder Organization</strong></p>
<ul>
<li><strong>Electrolyzers-HSI: </strong>55 subfolders
<ul>
<li>1/
<ul>
<li>’GT.png’ file for segmentation ground truth</li>
<li>‘HSI.img’ and ‘HSI.hdr’ files for HSI data cube</li>
<li>‘RGB.jpg’ file for the RGB image</li>
</ul>
</li>
<li>2/
<ul>
<li>’GT.png’ file for segmentation ground truth</li>
<li>‘HSI.img’ and ‘HSI.hdr’ files for HSI data cube</li>
<li>‘RGB.jpg’ file for the RGB image</li>
</ul>
</li>
<li>3/4/5/6/ … :Same structure for all rest of folders</li>
</ul>
</li>
</ul>
<p><strong>Data Classes in Masks</strong></p>
<ul>
<li>Masks contain 0 to 5 segmentation classes:
<ul>
<li>0: background</li>
<li>1: “MESH”</li>
<li>2: “Steel_Cathode”</li>
<li>3: "Steel_Anode”</li>
<li>4: “HTEL_Anode”</li>
<li>5: “HTEL_Cathode”</li>
</ul>
</li>
</ul>
<p><strong>Code Repository</strong></p>
<p>To facilitate reading and working with the data, Python codes are available on the GitHub repository:</p>
<p>https://github.com/hifexplo</p>
<p><strong>Citation</strong></p>
<p>If you use this dataset, please cite the following article:</p>
<p><strong>Word</strong>:</p>
<p><strong>Latex:</strong></p></description>
</descriptions>
</resource>
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|---|---|---|
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| Data volume | 234.5 GB | 234.5 GB |
| Unique views | 1,101 | 1,101 |
| Unique downloads | 36 | 36 |
- Publication date:
- April 7, 2025
- DOI:
-
- Keyword(s):
- circular economy automated data processing optical sensors Hyperspectral Imaging HSI Hyperspectral Imaging classification recycling E-waste hyperspectral imaging dataset RGB dataset conveyor belt sensors spectrometers machine learning deep learning Electrolyzers open source digitalization Transformers
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-41192 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International