---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: plant_id
    dtype: string
  - name: points
    dtype:
      array2_d:
        shape:
        - -1
        - 3
        dtype: float32
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 89573571543
    num_examples: 17707
  download_size: 71413931655
  dataset_size: 89573571543
license: agpl-3.0
task_categories:
- image-classification
size_categories:
- 10K<n<100K
---
# For Species 20k Dev Classification

This dataset provides real-world images of diverse tree species collected using point cloud sensors in natural forest environments. It offers a comprehensive visual resource for developing and evaluating computer vision models in ecological and forestry applications. The dataset contains 17,707 images across 33 classes: Abies_alba, Acer_campestre, Acer_pseudoplatanus, Acer_saccharum, Betula_pendula, Carpinus_betulus, Corylus_avellana, Crataegus_monogyna, Eucalyptus_miniata, Euonymus_europaeus, Fagus_sylvatica, Fraxinus_angustifolia, Fraxinus_excelsior, Larix_decidua, Picea_abies, Picea_glauca, Pinus_contorta, Pinus_nigra, Pinus_pinaster, Pinus_radiata, Pinus_resinosa, Pinus_sylvestris, Populus_deltoides, Populus_tremuloides, Prunus_avium, Pseudotsuga_menziesii, Quercus_faginea, Quercus_ilex, Quercus_petraea, Quercus_robur, Quercus_rubra, Tilia_cordata, Ulmus_laevis.  
Images per class:
- Abies_alba: 119
- Acer_campestre: 1,240
- Acer_pseudoplatanus: 576
- Acer_saccharum: 110
- Betula_pendula: 735
- Carpinus_betulus: 1,243
- Corylus_avellana: 48
- Crataegus_monogyna: 229
- Eucalyptus_miniata: 280
- Euonymus_europaeus: 104
- Fagus_sylvatica: 2,482
- Fraxinus_angustifolia: 107
- Fraxinus_excelsior: 126
- Larix_decidua: 94
- Picea_abies: 1,983
- Picea_glauca: 164
- Pinus_contorta: 322
- Pinus_nigra: 464
- Pinus_pinaster: 103
- Pinus_radiata: 97
- Pinus_resinosa: 168
- Pinus_sylvestris: 3,296
- Populus_deltoides: 58
- Populus_tremuloides: 108
- Prunus_avium: 42
- Pseudotsuga_menziesii: 658
- Quercus_faginea: 1,014
- Quercus_ilex: 299
- Quercus_petraea: 361
- Quercus_robur: 195
- Quercus_rubra: 160
- Tilia_cordata: 444
- Ulmus_laevis: 278

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

## Citation

```bibtex
@article{puliti2025benchmarking,
  title={Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR-species20K dataset},
  author={Puliti, Stefano and Lines, Emily R and M{\"u}llerov{\'a}, Jana and Frey, Julian and Schindler, Zoe and Straker, Adrian and Allen, Matthew J and Winiwarter, Lukas and Rehush, Nataliia and Hristova, Hristina and others},
  journal={Methods in Ecology and Evolution},
  volume={16},
  number={4},
  pages={801--818},
  year={2025},
  publisher={Wiley Online Library}
}
```

Puliti, S., Lines, E., Müllerová, J., Frey, J., Schindler, Z., Straker, A., Allen, M. J., Lukas, W., Rehush, N., Hristova, H., Murray, B., Calders, K., Terryn, L., Coops, N., Höfle, B., Junttila, S., Krucek, M., Krok, G., Král, K., … Astrup, R. (2024). FOR-species20K dataset [Dataset]. In Puliti, S., Lines, E., Müllerová, J., Frey, J., Schindler, Z., Straker, A., Allen, M.J., Winiwarter, L., Rehush, N., Hristova, H., Murray, B., Calders, K., Terryn, L., Coops, N., Höfle, B., Krůček, M., Krokm, G., Král, K., Luck, L., Levick, S.R., Missarov, A., Mokroš, M., Owen, H., Stereńczak, K., Pitkänen, T.P., Puletti, N., Saarinen, N., Hopkinson, C., Torresan, C., Tomelleri, E., Weiser, H., Junttila, S., and Astrup, R. (2025) Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset. Methods in Ecology and Evolution, 00, 1–18. https://doi.org/10.1111/2041-210X.14503help (Vol. 00). Zenodo. https://doi.org/10.5281/zenodo.13255198

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