| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| - name: split |
| dtype: string |
| - name: date |
| dtype: string |
| - name: location_code |
| dtype: string |
| - name: id |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 420776401 |
| num_examples: 48 |
| download_size: 420791341 |
| dataset_size: 420776401 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| size_categories: |
| - n<1K |
| --- |
| # Chicory Root Segmentation |
|
|
| This dataset provides real-world RGB images of chicory roots in agricultural settings, captured for semantic segmentation tasks. The images depict roots in their natural growing environment, offering a realistic representation for developing and evaluating segmentation models in crop monitoring applications. The dataset contains 48 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{smith2020segmentation, |
| title={Segmentation of roots in soil with U-Net}, |
| author={Smith, Abraham George and Petersen, Jens and Selvan, Raghavendra and Rasmussen, Camilla Ru{\o}}, |
| journal={Plant Methods}, |
| volume={16}, |
| number={1}, |
| pages={13}, |
| year={2020}, |
| publisher={Springer} |
| } |
| ``` |
|
|
| Smith, A. G., Petersen, J., Selvan, R., & Rasmussen, C. R. (2019). Data for paper 'Segmentation of Roots in Soil with U-Net' [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.3527713 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
|
|
