Project-AgML/tree_species_classification_CZU_exact_cropped

Tree Species Classification Czu Exact Cropped

This dataset comprises real-world RGB images of multiple European tree species, captured in natural field environments across Slovakia and the Czech Republic. Images were collected using handheld cameras (Sony Alpha 7 and Canon EOS 4000D) during field surveys in June and August 2022, offering diverse representations of tree features for classification research. 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 exact cropped dataset [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.14221740

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