Project-AgML/bean_disease_classification_tanzania

Bean Disease Classification Tanzania

A dataset for disease classification of bean leaves. The dataset contains 59,071 images across 3 classes: anthracnose, healthy, rust.
Images per class:

• anthracnose: 13,531
• healthy: 24,972
• rust: 20,568

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

Citation

@article{laizer2024common,
  title={Common beans imagery dataset for early detection of bean rust and bean anthracnose diseases},
  author={Laizer, Hudson and Mduma, Neema and Machuve, Dina and Maganga, Reinfrid},
  journal={Data in Brief},
  volume={54},
  pages={110508},
  year={2024},
  publisher={Elsevier}
}

Laizer, H., Mduma, N., Machuve, D., Lyimo, T., Babirye, C., Swai, J.& Siwingwa, A. (2023). Common Beans Imagery Dataset for Early Detection of Crop Diseases (Version 01) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.8286126

This dataset was reformatted from its original format to match HuggingFace standards.