| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| - name: image_series |
| dtype: string |
| - name: split |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 888005233 |
| num_examples: 92 |
| download_size: 888031817 |
| dataset_size: 888005233 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| size_categories: |
| - n<1K |
| --- |
| # Alpine Grassland Root Segmentation |
|
|
| 92 root images (2550x2196) with manual binary root/background masks from the 'Grassland' dataset, collected in alpine grasslands during a study on root growth and soil function. It is one of the nine root imaging datasets in a benchmark of 21 Transformer and ConvNet architectures for root segmentation. Images keep their image series (BidmerN, BidmerS, Phytotron2021) and the record's U-Net training/validation split. The dataset contains 92 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{smith2026systematic, |
| title={A systematic comparison of transformers and ConvNets for root segmentation across nine datasets}, |
| author={Smith, Abraham George and Lamprinidis, Sotiris and Seethepalli, Anand and York, Larry M. and Han, Eusun and Möhl, Patrick and Boulata, Kyriaki and Thorup-Kristensen, Kristian and Petersen, Jens}, |
| journal={Plant Methods}, |
| volume={22}, |
| pages={52}, |
| year={2026}, |
| publisher={BioMed Central} |
| } |
| ``` |
|
|
|
|
| The dataset itself can be cited as: |
|
|
| Möhl, P., von Büren, R. S., & Hiltbrunner, E. (2025). *Growth of alpine grassland will start and stop earlier under climate warming (dataset)* [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.20440497.V2 |
|
|
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
|
|
