Microplastics_SEM
Published: 18 October 2024| Version 2 | DOI: 10.17632/z6459vntbr.2
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Description
Here are the datasets for the paper (Automatic quantification and classification of microplastics in scanning electron micrographs via deep learning) published the Science of the Total Environment. The complete training dataset of semantic segmentation and shape classification is in dataset1.zip. The dataset of instance segmentation is present in multiple forms in dataset2.zip. The experiment setting for each micrograph was recorded together with the original SEM micrographs and all ground-truth labels in the file dataset3.zip. Main results were saved in result.zip. Paper link: https://doi.org/10.1016/j.scitotenv.2022.153903 Code link: https://github.com/benjamin3344/Microplastics_Unet
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Institutions
University of Toronto
Categories
Plastics, Scanning Electron Microscopy