| --- |
| dataset_info: |
| - config_name: augmented |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Anthracnose |
| '1': Downy_Mildew |
| '2': Healthy |
| '3': Mosaic_Virus |
| splits: |
| - name: train |
| num_bytes: 4217352397 |
| num_examples: 5775 |
| download_size: 4426618662 |
| dataset_size: 4217352397 |
| - config_name: raw |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Anthracnose |
| '1': Downy_Mildew |
| '2': Healthy |
| '3': Mosaic_Virus |
| splits: |
| - name: train |
| num_bytes: 2231509933 |
| num_examples: 1155 |
| download_size: 2385746959 |
| dataset_size: 2231509933 |
| configs: |
| - config_name: augmented |
| data_files: |
| - split: train |
| path: augmented/train-* |
| - config_name: raw |
| default: true |
| data_files: |
| - split: train |
| path: raw/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Watermelon Disease Classification |
|
|
| A dataset for disease classification of Watermelon. The dataset contains raw and augmented versions. |
| The raw dataset contains 1,155 images. |
| Images per class: |
| - Anthracnose: 155 |
| - Downy_Mildew: 380 |
| - Healthy: 205 |
| - Mosaic_Virus: 415 |
|
|
| The augmented dataset contains 5,775 images. |
| Images per class: |
| - Anthracnose: 775 |
| - Downy_Mildew: 1,900 |
| - Healthy: 1,025 |
| - Mosaic_Virus: 2,075 |
|
|
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{nakib2024comprehensive, |
| title={Comprehensive watermelon disease recognition dataset}, |
| author={Nakib, Mohammad Imtiaz and Mridha, MF}, |
| journal={Data in Brief}, |
| volume={53}, |
| pages={110182}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Nakib, Mohammad Imtiaz ; Mridha, Firoz (2023), “Watermelon Disease Recognition Dataset”, Mendeley Data, V1, doi: 10.17632/ntzym554jp.1 |
