Datasets:
File size: 1,712 Bytes
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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.* |