| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| - name: split |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 34450965 |
| num_examples: 3345 |
| download_size: 249337909 |
| dataset_size: 34450965 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc0-1.0 |
| task_categories: |
| - image-segmentation |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Strawberry Runner Segmentation |
|
|
| A dataset for semantic segmentation of strawberry runners. The dataset contains 3,345 images with pixel-level mask annotations. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| The original train/test/val split has been preserved in the `split` column. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{zhou2025deep, |
| title={Deep learning for strawberry runner detection integrating ground and aerial imaging}, |
| author={Zhou, Xue and Wang, Xu and Ji, Liyike and Daggubati, Santhi and Shen, Kai and Whitaker, Vance M.}, |
| journal={Smart Agricultural Technology}, |
| volume={12}, |
| pages={101290}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
| Zhou, Xue; Wang, Xu; Whitaker, Vance et al. (2025). Ground and aerial imagery dataset for strawberry breeding trials: Training deep learning models for runner detection and segmentation [Dataset]. Dryad. https://doi.org/10.5061/dryad.bzkh189nw |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
