Electrolyzers-HSI Dataset

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.

Data Format

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.

Folder Organization

Electrolyzers-HSI: 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

Data Classes in Masks

Masks contain 0 to 5 segmentation classes:

    0: background
    1: “MESH”
    2: “Steel_Cathode”
    3: "Steel_Anode”
    4: “HTEL_Anode”
    5: “HTEL_Cathode”

Code Repository

To facilitate reading and working with the data, Python codes are available on the GitHub repository:

https://github.com/hifexplo

Citation

If you use this dataset, please cite the following article:

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Latex: