Project-AgML/soybean_damage_classification

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

@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.