Project-AgML/chitrak_leaf_disease_classification

1---2dataset_info:3  features:4  - name: image5    dtype: image6  - name: label7    dtype:8      class_label:9        names:10          '0': Dried11          '1': Healthy12          '2': Unhealthy13  - name: leaf_count14    dtype: string15  - name: leaf_side16    dtype: string17  splits:18  - name: train19    num_bytes: 252890293920    num_examples: 1066021  download_size: 212519007122  dataset_size: 252890293923configs:24- config_name: default25  data_files:26  - split: train27    path: data/train-*28license: cc-by-4.029task_categories:30- image-classification31size_categories:32- 10K<n<100K33---34# Chitrak Leaf Disease Classification35 36A dataset for disease classification of Chitrak Leaves. The dataset contains 10,660 images across 3 classes: dried, healthy, and unhealthy.  37 38 39This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.40 41## Citation42 43```bibtex44@article{patil2024plumbago,45  title={Plumbago Zeylanica (Chitrak) leaf image dataset: a comprehensive collection for botanical studies, herbal medicine research, and environmental analyses},46  author={Patil, Kailas and Suryawanshi, Yogesh and Dhoka, Amit and Chumchu, Prawit},47  journal={Data in Brief},48  volume={52},49  pages={109929},50  year={2024},51  publisher={Elsevier}52}53```54 55Dhoka, Amit; Suryawanshi, Yogesh; PATIL, Kailas (2023), “Plumbago Zeylanica (Chitrak) Leaf Image Dataset”, Mendeley Data, V2, doi: 10.17632/twpv7hhmgb.256 57*This dataset was reformatted from its original format to match HuggingFace standards.*