| --- |
| 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.* |
