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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Bacterial_Spot
'1': Brown_Blight
'2': Dry
'3': Healthy
'4': Powdery_Mildew
'5': Sooty_Mold
splits:
- name: train
num_bytes: 114997934
num_examples: 2400
download_size: 114274185
dataset_size: 114997934
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Java Plum Leaf Disease Classification
A dataset for disease classification of Java Plum leaves. The dataset contains 2,400 images across 6 classes: Bacterial_Spot, Brown_Blight, Dry, Healthy, Powdery_Mildew, Sooty_Mold.
Images per class:
- Bacterial_Spot: 400
- Brown_Blight: 400
- Dry: 400
- Healthy: 400
- Powdery_Mildew: 400
- Sooty_Mold: 400
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{bhowmik2024customised,
title={A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease},
author={Bhowmik, Auvick Chandra and Ahad, Md Taimur and Emon, Yousuf Rayhan and Ahmed, Faruk and Song, Bo and Li, Yan},
journal={Smart Agricultural Technology},
volume={8},
pages={100500},
year={2024},
publisher={Elsevier}
}
```
Bhowmik, Auvick Chandra; Ahad, Taimur (2024), “Java Plum Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/43d75vptz4.3
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