---
configs:
- config_name: augmented
  data_files:
  - split: train
    path: augmented/train-*
- config_name: raw
  data_dir: raw
  default: true
license: cc-by-nc-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': Alternaria_Leaf
          '1': Bacterial_Blight
          '2': Fusarium_Wilt
          '3': Healthy_Leaf
          '4': Verticillium_Wilt
  splits:
  - name: train
    num_bytes: 355269281
    num_examples: 4963
  download_size: 359213105
  dataset_size: 355269281
- config_name: raw
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Alternaria_Leaf
          '1': Bacterial_Blight
          '2': Fusarium_Wilt
          '3': Healthy_Leaf
          '4': Verticillium_Wilt
  splits:
  - name: train
    num_bytes: 60642991
    num_examples: 1373
  download_size: 61250807
  dataset_size: 60642991
---

# Cotton Leaf Disease Classification

A dataset for disease classification of cotton leaves. The dataset contains both the raw data and augmented version.  
The raw data contains 1373 images distributed between the classes as follows:  
- Alternaria Leaf Spot: 173 images  
- Bacterial Blight: 218 images  
- Fusarium Wilt: 337 images  
- Healthy Leaf: 333 images  
- Verticillium Wilt: 312 images

The augmented data contains 4963 images, again distributed as follows:
- Alternaria_Leaf: 987 images  
- Bacterial_Blight: 1027 images  
- Fusarium_Wilt: 957 images  
- Healthy_Leaf: 1015 images  
- Verticillium_Wilt: 977 images

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

## Citation 

```bibtex
@article{ripon2025cotton,
  title={Cotton leaf image dataset for disease classification and health monitoring},
  author={Ripon, Shamim and Gani, Raiyan and Niha, Nazratan Mazumder and Rahat, Wasimul Bari and Toufiq, Shafaeat Hasan and Maisha, Mushfida Ferdous and Ahmed, Jubaer},
  journal={Data in Brief},
  pages={112142},
  year={2025},
  publisher={Elsevier}
}
```

Ripon, Shamim; Gani , Raiyan ; Niha, Nazratan Mazumder ; Rahat, Wasimul Bari ; Toufiq, Shafaeat Hasan ; Maisha, Mushfida Ferdous ; Ahmed, Jubaer  (2025), “Cotton Leaf Image Dataset for Disease Classification ”, Mendeley Data, V1, doi: 10.17632/t9hgvk2h9p.1