| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| splits: |
| - name: train |
| num_bytes: 330125553 |
| num_examples: 800 |
| download_size: 330164111 |
| dataset_size: 330125553 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| size_categories: |
| - n<1K |
| --- |
| # 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 |
|
|
| ```bibtex |
| @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.* |
