Project-AgML/bacterial_grain_rot_classification

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.