| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| - name: split |
| dtype: string |
| - name: PipeID |
| dtype: string |
| - name: Position |
| dtype: string |
| - name: timestamp |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 69854775 |
| num_examples: 438 |
| download_size: 69911174 |
| dataset_size: 69854775 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| size_categories: |
| - n<1K |
| --- |
| # Deeprootlab Root Segmentation |
|
|
| This dataset provides real RGB images of plant root systems captured in a controlled laboratory environment for agricultural root phenotyping. It focuses on root segmentation tasks, offering high-quality imagery suitable for developing semantic segmentation models in agricultural research contexts. The dataset contains 438 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{han2026deep, |
| title={Deep roots through time and crops: insight from five seasons at DeepRootLab}, |
| author={Han, Eusun and Cl{\'e}ment, Corentin and Czaban, Weronika and Smith, Abraham George and Dresb{\o}ll, Dorte Bodin and Thorup-Kristensen, Kristian}, |
| journal={New Phytologist}, |
| volume={250}, |
| number={4}, |
| pages={2670--2688}, |
| year={2026}, |
| publisher={Wiley Online Library} |
| } |
| ``` |
|
|
| Han, E., Clément, C., Czaban, W., Smith, A. G., Dresbøll, D. B., & Thorup-Kristensen, K. (2025). Dataset used in "Five seasons with DeepRootLab: A unique facility for easier deep root research in the field" [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.15213661 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
|
|
