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Project-AgML/rice_disease_classification_bangladesh

Rice Disease Classification A dataset for image classification of Rice Disease. The dataset contains raw and augmented versions.The raw dataset contains 2,769 images.Images per class: Healthy: 603 Insect: 281 Leaf Scald: 421 Rice: 16 Rice Blast: 696 Rice Leaffolder: 247 Rice Stripes: 266 Rice Tungro: 239 The augmented dataset contains 18,536 images.Images per class: Healthy: 3,995 Insect: 2,084 Leaf scald: 2,619 Rice: 128 Rice Blast: 4,450 Rice Leaffolder: 1,658 Rice Stripes:… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_disease_classification_bangladesh.

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Rice Disease Classification

A dataset for image classification of Rice Disease. The dataset contains raw and augmented versions. The raw dataset contains 2,769 images. Images per class:

—Healthy: 603
—Insect: 281
—Leaf Scald: 421
—Rice: 16
—Rice Blast: 696
—Rice Leaffolder: 247
—Rice Stripes: 266
—Rice Tungro: 239

The augmented dataset contains 18,536 images. Images per class:

—Healthy: 3,995
—Insect: 2,084
—Leaf scald: 2,619
—Rice: 128
—Rice Blast: 4,450
—Rice Leaffolder: 1,658
—Rice Stripes: 1,818
—Rice Tungro: 1,784

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

bibtex

@article{hasan2025comprehensive,
  title={A comprehensive dataset of rice leaf images for disease detection using machine learning},
  author={Hasan, Afif and Layes, Tanvir Almas and Afridi, Arafat Sahin and Rifat, Shakhawath Hossain and Nur, Fernaz Narin and Moon, Nazmun Nessa},
  journal={Data in Brief},
  pages={111977},
  year={2025},
  publisher={Elsevier}
}

Rifat, Shakhawath Hossain; Layes, Tanvir Almas; Hasan, Afif; Mojumdar, Mayen Uddin (2024), “Rice Leaf Disease and Pest Dataset Overview”, Mendeley Data, V1, doi: 10.17632/vwv3nry3wr.1