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Browsing by Subject "Snowflakes"

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    Database of snow holograms collected from 2019 to 2022 for machine learning training or other purposes
    (2022-10-06) Li, Jiaqi; Guala, Michele; Hong, Jiarong; li001334@umn.edu; Li, Jiaqi; University of Minnesota Flow Field Imaging Lab
    This dataset includes the original combined snow holograms and holograms with image augmentation (rotation, exposure, blur, noise) for YOLOv5 model training to detect and classify snow particles. The individual snow particles are cropped and combined to enrich the particle numbers in each image for the ease of manual labeling. The snow particles are classified into six categories, including aggregate/irregular (I), dendrite (P2), graupel/rime (R), plate (P1), needle/column (N/C), and small particles/germ (G).