Datasets:
File size: 1,556 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Broken
'1': Immature
'2': Intact
'3': Skin-damaged
'4': Spotted
splits:
- name: train
num_bytes: 89884943
num_examples: 5513
download_size: 90329805
dataset_size: 89884943
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Soybean Damage Classification
A dataset for damage classification of soybean seeds. The dataset contains 5,513 images across 5 classes: Broken, Immature, Intact, Skin-damaged, Spotted.
Images per class:
- Broken: 1,002
- Immature: 1,125
- Intact: 1,201
- Skin-damaged: 1,127
- Spotted: 1,058
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{lin2023soybean,
title={Soybean image dataset for classification},
author={Lin, Wei and Fu, Youhao and Xu, Peiquan and Liu, Shuo and Ma, Daoyi and Jiang, Zitian and Zang, Siyang and Yao, Heyang and Su, Qin},
journal={Data in Brief},
volume={48},
pages={109300},
year={2023},
publisher={Elsevier}
}
```
Lin, Wei; Fu, Youhao; Xu, Peiquan; Liu, Shuo; Ma, Daoyi; Jiang, Zitian; zang, siyang; Yao, Heyang; Su, Qin (2023), “Soybean Seeds”, Mendeley Data, V6, doi: 10.17632/v6vzvfszj6.6
*This dataset was reformatted from its original format to match HuggingFace standards.* |