---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Aswud Balad
          '1': Deas Al-Annz
          '2': Frinsi
          '3': Halawani
          '4': Kamali
          '5': Riasi
          '6': Shdah
          '7': Thompson Seedless
  splits:
  - name: train
    num_bytes: 2461447056
    num_examples: 8000
  download_size: 2094589734
  dataset_size: 2461447056
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Grape Variety Classification

A dataset for variety classification of Grape leaves. The dataset contains 8,000 images across 8 classes:  
Images per class:
- Aswud Balad: 1,000
- Deas Al-Annz: 1,000
- Frinsi: 1,000
- Halawani: 1,000
- Kamali: 1,000
- Riasi: 1,000
- Shdah: 1,000
- Thompson Seedless: 1,000

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

## Citation

```bibtex
@article{al2023image,
  title={Image dataset of important grape varieties in the commercial and consumer market},
  author={Al-Khazraji, Lafta R and Mohammed, Mohammed Abdallazez and Abd, Dhafar Hamed and Khan, Wasiq and Khan, Bilal and Hussain, Abir Jaafar},
  journal={Data in Brief},
  volume={47},
  pages={108906},
  year={2023},
  publisher={Elsevier}
}
```

Mohammed Abdallazez, Mohammed; Al-Khazraji, Lafta Raheem Ali; hamed, dhafar; Hussain, Abir; Khan, Wasiq; Khan, Bilal (2022), “Grape Varieties Dataset”, Mendeley Data, V2, doi: 10.17632/7n3d6696hz.2

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