Project-AgML/tree_species_classification_CZU_normal_cropped

Tree Species Classification Czu Normal Cropped

This dataset provides real RGB images of multiple tree species captured in natural field environments across Slovakia and the Czech Republic. Images were collected using handheld cameras including Sony Alpha 7 and Canon EOS 4000D during field surveys in June and August 2022. The dataset contains 386 images across 4 classes: Beech, Maple, Pine, linden.
Images per class:

• Beech: 74
• Maple: 159
• Pine: 105
• linden: 48

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

Citation

@article{surendran2025forestry,
  title={A forestry investigation: Exploring factors behind improved tree species classification using bark images},
  author={Surendran, Gokul Kottilapurath and Deekshitha, and Lukac, Martin and Lukac, Martin and Vybostok, Jozef and Mokros, Martin},
  journal={Ecological Informatics},
  volume={85},
  pages={102932},
  year={2025},
  publisher={Elsevier}
}

Kottilapurath Surendran, G., & Mokroš, M. (2024). CZU normal cropped dataset [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.14221890

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