April 7, 2025 Dataset Open Access

Arbash, Elias; Afifi, Ahmed Jamal Mohammaed; Belahsen, Ymane; Fuchs, Margret; Ghamisi, Pedram; Scheunders, Paul; Gloaguen, Richard

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{
  "publisher": "Rodare", 
  "issued": {
    "date-parts": [
      [
        2025, 
        4, 
        7
      ]
    ]
  }, 
  "DOI": "10.14278/rodare.3668", 
  "type": "dataset", 
  "abstract": "<p><strong>Electrolyzers-HSI Dataset</strong></p>\r\n\r\n<p>Description:</p>\r\n\r\n<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>\r\n\r\n<p><strong>Data Format</strong></p>\r\n\r\n<ul>\r\n <li>RGB Images: .jpg files</li>\r\n <li>Ground Truth (GT): .png files. They appear black since the values are between 0 and 5. Correct visualization is done via script.</li>\r\n <li>HSI Data: Each hyperspectral data cube .img file is accompanied by a .hdr file.</li>\r\n</ul>\r\n\r\n<p><strong>Folder Organization</strong></p>\r\n\r\n<ul>\r\n <li><strong>Electrolyzers-HSI: </strong>55 subfolders\u00a0\r\n\r\n <ul>\r\n  <li>1/\r\n  <ul>\r\n   <li>\u2019GT.png\u2019 file for segmentation ground truth</li>\r\n   <li>\u2018HSI.img\u2019 and \u2018HSI.hdr\u2019 files for HSI data cube</li>\r\n   <li>\u2018RGB.jpg\u2019 file for the RGB image</li>\r\n  </ul>\r\n  </li>\r\n  <li>2/\r\n  <ul>\r\n   <li>\u2019GT.png\u2019 file for segmentation ground truth</li>\r\n   <li>\u2018HSI.img\u2019 and \u2018HSI.hdr\u2019 files for HSI data cube</li>\r\n   <li>\u2018RGB.jpg\u2019 file for the RGB image</li>\r\n  </ul>\r\n  </li>\r\n  <li>3/4/5/6/ \u2026 :Same structure for all rest of folders</li>\r\n </ul>\r\n </li>\r\n</ul>\r\n\r\n<p><strong>Data Classes in Masks</strong></p>\r\n\r\n<ul>\r\n <li>Masks contain 0 to 5 segmentation classes:\r\n <ul>\r\n  <li>0: background</li>\r\n  <li>1: \u201cMESH\u201d</li>\r\n  <li>2: \u201cSteel_Cathode\u201d</li>\r\n  <li>3: \"Steel_Anode\u201d</li>\r\n  <li>4: \u201cHTEL_Anode\u201d</li>\r\n  <li>5: \u201cHTEL_Cathode\u201d</li>\r\n </ul>\r\n </li>\r\n</ul>\r\n\r\n<p><strong>Code Repository</strong></p>\r\n\r\n<p>To facilitate reading and working with the data, Python codes are available on the GitHub repository:</p>\r\n\r\n<p>https://github.com/hifexplo</p>\r\n\r\n<p><strong>Citation</strong></p>\r\n\r\n<p>If you use this dataset, please cite the following article:</p>\r\n\r\n<p><strong>Word</strong>:</p>\r\n\r\n<p><strong>Latex:</strong></p>", 
  "title": "Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset", 
  "id": "3668", 
  "author": [
    {
      "family": "Arbash, Elias"
    }, 
    {
      "family": "Afifi, Ahmed Jamal Mohammaed"
    }, 
    {
      "family": "Belahsen, Ymane"
    }, 
    {
      "family": "Fuchs, Margret"
    }, 
    {
      "family": "Ghamisi, Pedram"
    }, 
    {
      "family": "Scheunders, Paul"
    }, 
    {
      "family": "Gloaguen, Richard"
    }
  ]
}