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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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/watermelon_disease_classification.

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Dataset Card

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