---
configs:
- config_name: default
  default: true
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': ALTERNARIA LEAF SPOT
          '1': HEALTHY
          '2': LEAF SPOT
          '3': ROSETTE
          '4': RUST
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---

# Groundnut Leaf Disease Classification

A dataset for image classification of Groundnut Leaf Disease Classification. The dataset contains 1,720 images across 5 classes: ALTERNARIA LEAF SPOT, HEALTHY, LEAF SPOT, ROSETTE, RUST.  
Images per class:
- ALTERNARIA LEAF SPOT: 450
- HEALTHY: 600
- LEAF SPOT: 450
- ROSETTE: 100
- RUST: 120

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

## Citation

```bibtex
@article{sasmal2024novel,
  title={A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases},
  author={Sasmal, Buddhadev and Das, Arunita and Dhal, Krishna Gopal and Saheb, Sk Belal and Khurma, Ruba Abu and Castillo, Pedro A},
  journal={Data in Brief},
  volume={55},
  pages={110763},
  year={2024},
  publisher={Elsevier}
}
```

Sasmal, Buddhadev ; Das, Arunita; Dhal, Krishna Gopal; Saheb, Belal; Abu Khurma, Ruba ; Castillo-Valdivieso, Pedro A.  (2024), “A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases”, Mendeley Data, V2, doi: 10.17632/x6x5jkk873.2