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metadata
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

@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.