Colorado State University Geometric Snowflake Classification Dataset
Description
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
Notes
Files
!final_paper_sets.zip
Files
(66.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:f674fadb14ffe74f4aff37cf97a92a4a
|
66.9 MB | Preview Download |
Additional details
References
- Key, C. et al. (2021) Advanced Deep Learning-Based Supervised Classification of Multi-Angle Snowflake Camera Images, JTECH