Datasets:

Project-AgML
/

bacterial_grain_rot_classification

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

@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.