Polymers Hyperspectral Imaging

<strong>Investigating State of the Art Hyperspectral Imaging Classification Models for Plastic Types Identification</strong>

<strong>Polymers Dataset</strong>

Description:

The polymers dataset is a multiscene Hyperspectral benchmark dataset comprising of reference polymer samples and shredded polymer samples in the visible to short-wave infrared, capturing 450 bands within the [400–2500] nm range using an AisaFENIX (Spectral Imaging Ltd, Oulu, Finland) spectrometer. 

Two sample batches were investigated:

reference polymers of known composition and dimensions (15 X 10) cm, commonly found in e-waste.
shredded pieces of polymers with sizes ranging from (0.3–4) cm.

<strong>Data Format</strong>

HSI data: each hyperspectral data cube is accompanied by a data file and a .hdr file.
Ground truth mask: .png file (only for multi samples scenes)

<strong>Folder Organization</strong>

Polymers

Test

HSI: .dat &amp; .hdr
Ground truth mask: test.png
False colour representation of the scene: .png

Train

HSI_ : 3 different scans of reference samples scanned
PC, PE, PET, PP: Hyperspectral cubes (11x11x450) .hdr &amp; .dat

<strong>Data Classes in Masks</strong>

Masks contain 1 to 6 segmentation classes:

1: "PP"
2: "Black Plastic"
3: "PVC"
4: "PET"
5: "ABS"
6: "PE"

<strong>Code Repository</strong>

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

https://github.com/hifexplo

https://github.com/Elias-Arbash

<strong>Citation</strong>

If you use this dataset, please cite the following article: (To be filled once published)

<strong>Contact</strong>

For further information or inquiries, please visit our website:

https://www.iexplo.space/

Contact Email: [e-mail]