December 8, 2024 Dataset Open Access

Polymers Hyperspectral Imaging

Arbash, Elias; de Lima Ribeiro, Andrea; Rizaldy, Aldino; Fuchs, Margret; Ghamisi, Pedram; Scheunders, Paul; Gloaguen, Richard

Investigating State of the Art Hyperspectral Imaging Classification Models for Plastic Types Identification

Polymers Dataset

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.

Data Format

• 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)

Folder Organization

• Polymers
  • Test
    • HSI: .dat & .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 & .dat

Data Classes in Masks

• Masks contain 1 to 6 segmentation classes:
  • 1: "PP"
  • 2: "Black Plastic"
  • 3: "PVC"
  • 4: "PET"
  • 5: "ABS"
  • 6: "PE"

Code Repository

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

Citation

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

Contact

For further information or inquiries, please visit our website:

https://www.iexplo.space/

Contact Email: e.arbash@hzdr.de