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
DCAT Export
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<dct:title>Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset</dct:title>
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<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2025</dct:issued>
<dcat:keyword>circular economy</dcat:keyword>
<dcat:keyword>automated data processing</dcat:keyword>
<dcat:keyword>optical sensors</dcat:keyword>
<dcat:keyword>Hyperspectral Imaging</dcat:keyword>
<dcat:keyword>HSI</dcat:keyword>
<dcat:keyword>Hyperspectral Imaging classification</dcat:keyword>
<dcat:keyword>recycling</dcat:keyword>
<dcat:keyword>E-waste</dcat:keyword>
<dcat:keyword>hyperspectral imaging dataset</dcat:keyword>
<dcat:keyword>RGB dataset</dcat:keyword>
<dcat:keyword>conveyor belt</dcat:keyword>
<dcat:keyword>sensors</dcat:keyword>
<dcat:keyword>spectrometers</dcat:keyword>
<dcat:keyword>machine learning</dcat:keyword>
<dcat:keyword>deep learning</dcat:keyword>
<dcat:keyword>Electrolyzers</dcat:keyword>
<dcat:keyword>open source</dcat:keyword>
<dcat:keyword>digitalization</dcat:keyword>
<dcat:keyword>Transformers</dcat:keyword>
<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-04-07</dct:issued>
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<dct:description><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></dct:description>
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| Downloads | 50 | 50 |
| 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