Project-AgML/soybean_harvest_damage_segmentation

Soybean Harvest Damage Segmentation

A dataset for semantic segmentation of damage during harvesting of soybeans. The dataset contains 800 images with pixel-level mask annotations.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{chen2024dataset,
  title={A dataset of the quality of soybean harvested by mechanization for deep-learning-based monitoring and analysis},
  author={Chen, Man and Jin, Chengqian and Ni, Youliang and Yang, Tengxiang and Xu, Jinshan},
  journal={Data in Brief},
  volume={52},
  pages={109833},
  year={2024},
  publisher={Elsevier}
}

Chen, Man (2023), “Mechanical-harvest Soybean Images Dataset”, Mendeley Data, V2, doi: 10.17632/hwdtghttp7.2

This dataset was reformatted from its original format to match HuggingFace standards.