Datasets:
File size: 1,568 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Alternaria Leaf Spot
'1': Cercospora Leaf Spot
'2': Downy Mildew
'3': Healthy
'4': Leaf curly virus
'5': Phyllosticta leaf spot
splits:
- name: train
num_bytes: 8957179402
num_examples: 1495
download_size: 8792577872
dataset_size: 8957179402
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# OkraDiseaseNet Disease Classification
A dataset for disease classification of okra leaves. The dataset contains 1,495 images across 6 classes: Alternaria Leaf Spot, Cercospora Leaf Spot, Downy Mildew, Healthy, Leaf curly virus, Phyllosticta leaf spot.
Images per class:
- Alternaria Leaf Spot: 321
- Cercospora Leaf Spot: 212
- Downy Mildew: 214
- Healthy: 313
- Leaf curly virus: 213
- Phyllosticta leaf spot: 222
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{sowmiya2025okra,
title={Okra disease dataset for classification and segmentation: Dataset collection, analysis and applications},
author={Sowmiya, K and Thenmozhi, M},
journal={Data in Brief},
volume={61},
pages={111662},
year={2025},
publisher={Elsevier}
}
```
Kumarakuru, Sowmiya; M, Thenmozhi (2024), “Okra DiseaseNet Dataset”, Mendeley Data, V1, doi: 10.17632/nh7zk4hv8z.1 |