| --- |
| 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.* |
