Project-AgML/chitrak_leaf_disease_classification

Chitrak Leaf Disease Classification

A dataset for disease classification of Chitrak Leaves. The dataset contains 10,660 images across 3 classes: dried, healthy, and unhealthy.

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

Citation

@article{patil2024plumbago,
  title={Plumbago Zeylanica (Chitrak) leaf image dataset: a comprehensive collection for botanical studies, herbal medicine research, and environmental analyses},
  author={Patil, Kailas and Suryawanshi, Yogesh and Dhoka, Amit and Chumchu, Prawit},
  journal={Data in Brief},
  volume={52},
  pages={109929},
  year={2024},
  publisher={Elsevier}
}

Dhoka, Amit; Suryawanshi, Yogesh; PATIL, Kailas (2023), “Plumbago Zeylanica (Chitrak) Leaf Image Dataset”, Mendeley Data, V2, doi: 10.17632/twpv7hhmgb.2

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