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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.* |