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>