Project-AgML/grape_variety_classification

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

@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.