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---
configs:
- config_name: augmented
data_files:
- split: train
path: augmented/train-*
- config_name: raw
data_dir: raw
default: true
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
dataset_info:
- config_name: augmented
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Dry Leaf
'1': Healthy Leaf
'2': Leaf Blotch
'3': Rhizome Disease Root
'4': Rhizome Healthy Root
splits:
- name: train
num_bytes: 2590519269
num_examples: 4548
download_size: 2611993400
dataset_size: 2590519269
- config_name: raw
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Dry Leaf
'1': Healthy Leaf
'2': Leaf Blotch
'3': Rhizome Disease Root
'4': Rhizome Healthy Root
splits:
- name: train
num_bytes: 258176735
num_examples: 1063
download_size: 261436288
dataset_size: 258176735
---
# Turmeric Disease Classification
A dataset for disease classification of turmeric. The dataset contains raw and augmented versions.
The raw dataset contains 1,063 images.
Images per class:
- Dry Leaf: 203
- Healthy Leaf: 197
- Leaf Blotch: 199
- Rhizome Disease Root: 182
- Rhizome Healthy Root: 282
The augmented dataset contains 4,548 images.
Images per class:
- Dry Leaf: 812
- Healthy Leaf: 985
- Leaf Blotch: 995
- Rhizome Disease Root: 910
- Rhizome Healthy Root: 846
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{siam2025data,
title={A data-driven approach to turmeric disease detection: Dataset for plant condition classification},
author={Siam, AKM Fazlul Kobir and Nirob, Md Asraful Sharker and Bishshash, Prayma and Assaduzzaman, Md and Ghosh, Apurba and Noori, Sheak Rashed Haider},
journal={Data in Brief},
volume={59},
pages={111435},
year={2025},
publisher={Elsevier}
}
```
SIAM, A K M FAZLUL KOBIR ; Nirob, Md Asraful Sharker; Bishshash, Prayma (2025), “Turmeric Plant Disease Dataset: Advancing AI for Agricultural Sustainability”, Mendeley Data, V2, doi: 10.17632/g46dvrcvwn.2