---
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