RGB-statistics derived from Nile red-stained reference plastics for the construction of the PIM (Polymer Identification Model) Research Institute for Agriculture, Fisheries and Food
Nelle Meyers, Ana Catarino, Annelies Declercq, Aisling Brenan, Lisa Devriese, Michiel Vandegehuchte, Bavo De Witte, Colin Janssen, Gert Everaert
Dataset containing RGB-statistics extracted from photographed fluorescent reference plastics stained with Nile red. The most abundantly produced plastic polymers worldwide considered for this dataset. The spectral data was used to construct a supervised machine learning model that allows to accurately identify the polymer types microplastics belong to, in a cost- and time-efficient way.,The dataset was built to train and validate the ‘Polymer Identification Model’ (PIM) in R and contains Red, Green and Blue (RGB) statistics extracted from Nile red-stained reference plastics (50-1200 μm) ...