| --- |
| 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 |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Alternaria |
| '1': Anthracnose |
| '2': Bacterial_Blight |
| '3': Cercospora |
| '4': Healthy |
| splits: |
| - name: train |
| num_bytes: 5108516611 |
| num_examples: 5099 |
| download_size: 4537061610 |
| dataset_size: 5108516611 |
| --- |
| |
| # Pomegranate Disease Classification India |
|
|
| A dataset for disease classification of Pomegranate fruits. The dataset contains 5,099 images across 5 classes: Alternaria, Anthracnose, Bacterial_Blight, Cercospora, Healthy. |
| Images per class: |
| - Alternaria: 886 |
| - Anthracnose: 1,166 |
| - Bacterial_Blight: 966 |
| - Cercospora: 631 |
| - Healthy: 1,450 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{pakruddin2024comprehensive, |
| title={A comprehensive standardized dataset of numerous pomegranate fruit diseases for deep learning}, |
| author={Pakruddin, B and Hemavathy, R}, |
| journal={Data in Brief}, |
| volume={54}, |
| pages={110284}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| B, Pakruddin; R, Dr. Hemavathy (2023), “Pomegranate Fruit Diseases Dataset for Deep Learning Models”, Mendeley Data, V1, doi: 10.17632/b6s2rkpmvh.1 |
