Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset

<strong>Electrolyzers-HSI Dataset</strong> Description: 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. <strong>Data Format</strong> RGB Images: .jpg files Ground Truth (GT): .png files. They appear black since the values are between 0 and 5. Correct visualization is done via script. HSI Data: Each hyperspectral data cube .img file is accompanied by a .hdr file. <strong>Folder Organization</strong> <strong>Electrolyzers-HSI: </strong>55 subfolders 1/ ’GT.png’ file for segmentation ground truth ‘HSI.img’ and ‘HSI.hdr’ files for HSI data cube ‘RGB.jpg’ file for the RGB image 2/ ’GT.png’ file for segmentation ground truth ‘HSI.img’ and ‘HSI.hdr’ files for HSI data cube ‘RGB.jpg’ file for the RGB image 3/4/5/6/ … :Same structure for all rest of folders <strong>Data Classes in Masks</strong> Masks contain 0 to 5 segmentation classes: 0: background 1: “MESH” 2: “Steel_Cathode” 3: "Steel_Anode” 4: “HTEL_Anode” 5: “HTEL_Cathode” <strong>Code Repository</strong> To facilitate reading and working with the data, Python codes are available on the GitHub repository: https://github.com/hifexplo <strong>Citation</strong> If you use this dataset, please cite the following article: <strong>Word</strong>: <strong>Latex:</strong>