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This dataset contains over 25,000 human-classified images of snowflakes sorted into the following categories: AG (aggregate) CC (columnar crystal) GR (graupel) PC (planar crystal) SP (small particle) Filenames are in the following format: YYYY.MM.DD_HH.MM.SS_flake_X_cam_Y_candidate_Z.png YYYY.MM.DD_HH.MM.SS: datetime raw image was collected X: trigger event Y: MASC system camera index that produced raw image Z: detection index in raw image (multiple flakes are detected in most raw images) We request that all users of this dataset reference this Zenodo entry and the accompanying JTECH paper: Key, C. et al. (2021) Advanced Deep Learning-Based Supervised Classification of Multi-Angle Snowflake Camera Images, JTECH
{"references": ["Key, C. et al. (2021) Advanced Deep Learning-Based Supervised Classification of Multi-Angle Snowflake Camera Images, JTECH"]}
This dataset may be augmented in the future with additional classes and images.
machine learning, classification, weather, deep learning, meteorology, snowflakes
machine learning, classification, weather, deep learning, meteorology, snowflakes
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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