---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': J
          '1': L
          '2': R
          '3': S
  - name: split
    dtype: string
  splits:
  - name: train
    num_bytes: 3292898956
    num_examples: 526
  download_size: 3292967917
  dataset_size: 3292898956
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- n<1K
---
# ICPTC Pistachio Tree Variety Classification

A dataset for variety classification of pistachio trees. The dataset contains 526 images across 4 classes: J, L, R, S.  
Images per class:
- J: 117
- L: 129
- R: 109
- S: 171

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

The original train/test/val split has been preserved in the `split` column.

## Citation

```bibtex
@article{heidary2021icptc,
  title={ICPTC: Iranian commercial pistachio tree cultivars standard dataset},
  author={Heidary-Sharifabad, Ahmad and Zarchi, Mohsen Sardari and Zarei, Gholamreza},
  journal={Data in Brief},
  volume={38},
  pages={107348},
  year={2021},
  publisher={Elsevier}
}
```

Heidary-Sharifabad, Ahmad; Sardari Zarchi, Mohsen; Zarei, Gholamreza (2021), “ICPTC : Iranian Commercial Pistachios Tree Cultivars ”, Mendeley Data, V1, doi: 10.17632/6mmjjkpd5m.1

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