Project-AgML/watermelon_disease_classification

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

@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