Dataset Open Access
Polymers Hyperspectral Imaging
Arbash, Elias;
de Lima Ribeiro, Andrea;
Rizaldy, Aldino;
Fuchs, Margret;
Ghamisi, Pedram;
Scheunders, Paul;
Gloaguen, Richard
MARC21 XML Export
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<subfield code="a">E-waste</subfield>
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<subfield code="a"><p><strong>Investigating State of the Art Hyperspectral Imaging Classification Models for Plastic Types Identification</strong></p>
<p><strong>Polymers Dataset</strong></p>
<p>Description:</p>
<p>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. </p>
<p>Two sample batches were investigated:</p>
<ul>
<li>reference polymers of known composition and dimensions (15 X 10) cm, commonly found in e-waste.</li>
<li>shredded pieces of polymers with sizes ranging from (0.3–4) cm.</li>
</ul>
<p><strong>Data Format</strong></p>
<ul>
<li>HSI data: each hyperspectral data cube is accompanied by a data file and a .hdr file.</li>
<li>Ground truth mask: .png file (only for multi samples scenes)</li>
</ul>
<p><strong>Folder Organization</strong></p>
<ul>
<li>Polymers
<ul>
<li>Test
<ul>
<li>HSI: .dat & .hdr</li>
<li>Ground truth mask: test.png</li>
<li>False colour representation of the scene: .png</li>
</ul>
</li>
<li>Train
<ul>
<li>HSI_ : 3 different scans of reference samples scanned</li>
<li>PC, PE, PET, PP: Hyperspectral cubes (11x11x450) .hdr & .dat</li>
</ul>
</li>
</ul>
</li>
</ul>
<p><strong>Data Classes in Masks</strong></p>
<ul>
<li>Masks contain 1 to 6 segmentation classes:
<ul>
<li>1: "PP"</li>
<li>2: "Black Plastic"</li>
<li>3: "PVC"</li>
<li>4: "PET"</li>
<li>5: "ABS"</li>
<li>6: "PE"</li>
</ul>
</li>
</ul>
<p><strong>Code Repository</strong></p>
<p>To facilitate reading and working with the data, Python codes are available on the GitHub repository:</p>
<p>https://github.com/hifexplo</p>
<p>https://github.com/Elias-Arbash</p>
<p><strong>Citation</strong></p>
<p>If you use this dataset, please cite the following article: (To be filled once published)</p>
<p><strong>Contact</strong></p>
<p>For further information or inquiries, please visit our website:</p>
<p>https://www.iexplo.space/</p>
<p>Contact Email: e.arbash@hzdr.de</p></subfield>
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<subfield code="a">The HSI dataset of the work: INVESTIGATING STATE OF THE ART HYPERSPECTRAL IMAGING CLASSIFICATION MODELS FOR PLASTIC TYPES IDENTIFICATION</subfield>
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338
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downloads
| All versions | This version | |
|---|---|---|
| Views | 338 | 338 |
| Downloads | 28 | 28 |
| Data volume | 15.2 GB | 15.2 GB |
| Unique views | 289 | 289 |
| Unique downloads | 25 | 25 |
- Publication date:
- December 8, 2024
- DOI:
-
- Keyword(s):
- Hyperspectral Image Classification Plastic Polymers E-waste Deep Learning Machine Learning
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-40592 - Referenced by:
https://www.hzdr.de/publications/Publ-40590 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International