---
configs:
- config_name: raw
  default: true
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
dataset_info:
  config_name: raw
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Aphid
          '1': Downy mildew
          '2': Healthy
          '3': Leaf curl
          '4': Leaf miner
  splits:
  - name: train
    num_bytes: 1191382310
    num_examples: 2676
  download_size: 1169242117
  dataset_size: 1191382310
---

# Ash Gourd Disease Classification

A dataset for disease classification of ash gourd.  
The dataset contains 2,676 images.  
Images per class:  
- Aphid: 140
- Downy mildew: 1066
- Healthy: 803
- Leaf curl: 528
- Leaf miner: 139

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. 

## Citation 

```bibtex
@article{jahan2025dataset,
  title={Dataset of Ash gourd plant leaf images for detection and classification},
  author={Jahan, Nusrat and Hasan, Md Zahid},
  journal={Data in Brief},
  pages={111997},
  year={2025},
  publisher={Elsevier}
}
```

Jahan, Nusrat; Hasan, Md Zahid (2024), “Ash Gourd Leaf Healthy and Disease Dataset”, Mendeley Data, V2, doi: 10.17632/zj4th6xvdp.2