Datasets:
File size: 1,373 Bytes
a0dbdfd 860cb04 a0dbdfd 860cb04 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | ---
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.* |