Project-AgML/jute_disease_classification

Jute Disease Classification

A dataset for image classification of Jute Disease. The dataset contains 1,390 images across 5 classes: Dieback, Fresh, Holed, Mosaic, Stem Soft Rot. Images per class:

• Dieback: 300
• Fresh: 280
• Holed: 300
• Mosaic: 240
• Stem Soft Rot: 270

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

Citation

@article{islam2025comprehensive,
  title={A comprehensive image dataset of jute diseases},
  author={Islam, Md Masudul and Sheikh, Md Ripon},
  journal={Data in Brief},
  pages={112334},
  year={2025},
  publisher={Elsevier}
}

Islam, Md. Masudul; Sheikh, Md Ripon, 2025, "Jute Disease Image Dataset", https://doi.org/10.7910/DVN/FJ1DM1, Harvard Dataverse, V1