---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Dried
          '1': Healthy
          '2': Unhealthy
  - name: leaf_count
    dtype: string
  - name: leaf_side
    dtype: string
  splits:
  - name: train
    num_bytes: 2528902939
    num_examples: 10660
  download_size: 2125190071
  dataset_size: 2528902939
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 10K<n<100K
---
# 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

```bibtex
@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.*