Project-AgML/SapBark_64_variety_classification

Sapbark 64 Variety Classification

A dataset for variety classification of sapling bark of fruit trees. The dataset contains 5,815 images across 64 classes.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{alizadeh2025sapbark,
  title={SapBark-64: A dataset of bark images for 64 fruit-tree sapling classes},
  author={Alizadeh, Sayyad and Shamsi, Hamed},
  journal={Data in Brief},
  pages={112354},
  year={2025},
  publisher={Elsevier}
}

ALIZADEH, S. (2025). SapBark-64: A dataset of bark images for 64 fruit-tree sapling classes (Version v1.0) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.17196298

This dataset was reformatted from its original format to match HuggingFace standards.