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]