| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| splits: |
| - name: train |
| num_bytes: 726618831 |
| num_examples: 458 |
| download_size: 726699395 |
| dataset_size: 726618831 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| size_categories: |
| - n<1K |
| --- |
| |
| # Cabbage Instance Segmentation |
|
|
| A dataset for semantic segmentation of Cabbage Instance Segmentation. The dataset contains 458 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{yokoyama2024instance, |
| title={An instance segmentation dataset of cabbages over the whole growing season for UAV imagery}, |
| author={Yokoyama, Yui and Matsui, Tsutomu and Tanaka, Takashi ST}, |
| journal={Data in Brief}, |
| volume={55}, |
| pages={110699}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Yokoyama, Yui; Matsui, Tsutomu; Tanaka, S.T. Takashi (2024), “An annotated image dataset of cabbages for instance segmentation”, Mendeley Data, V2, doi: 10.17632/5cp2dyjczk.2 |
