---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Damaged
          '1': Healthy
          '2': Mild
          '3': Very Damage
  splits:
  - name: train
    num_bytes: 913829370
    num_examples: 566
  download_size: 913867502
  dataset_size: 913829370
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- n<1K
---
# Bacterial Grain Rot Classification

A dataset for image classification of Bacterial Grain Rot Classification. The dataset contains 566 images across 4 classes: Damaged, Healthy, Mild, Very Damage.  
Images per class:
- Damaged: 113
- Healthy: 159
- Mild: 156
- Very Damage: 138

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

## Citation

```bibtex
@article{quoc2024grain,
  title={Grain rot dataset caused by Burkholderia Glumae Bacteria},
  author={Quoc, Khang Nguyen and Quach, Luyl-Da},
  journal={Data in Brief},
  volume={54},
  pages={110334},
  year={2024},
  publisher={Elsevier}
}
```

Nguyen, Q. K.& Luyl-Da, Q. (2024). Bacterial Grain Rot Dataset [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.10805462

*This dataset was reformatted from its original format to match HuggingFace standards.*