Project-AgML/malabar_spinach_disease_classification

Malabar Spinach Disease Classification

A dataset for disease classification of Malabar Spinach leaves. The dataset contains raw and augmented versions.
The raw dataset contains 603 images.
Images per class:

• anthracnose_leaf_spot: 214
• healthy: 150
• straw_mite: 239

The augmented dataset contains 5,868 images.
Images per class:

• anthracnose_leaf_spot: 2,140
• healthy: 1,500
• straw_mite: 2,228

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

Citation

@article{rahman2025comprehensive,
  title={A comprehensive Malabar Spinach dataset for diseases classification},
  author={Rahman, Mushfiqur and Al Mamun, Md},
  journal={Data in Brief},
  volume={60},
  pages={111532},
  year={2025},
  publisher={Elsevier}
}

Rahman, Mushfiqur; Mukherjee, Anirban ; Shanto , Md Hasibul Hasan (2023), “Malabar Spinach dataset for diseases classification using deep learning approach”, Mendeley Data, V2, doi: 10.17632/n56pn9fncw.2