Datasets:
File size: 1,509 Bytes
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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.* |