| --- |
| configs: |
| - config_name: default |
| default: true |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| size_categories: |
| - n<1K |
| --- |
| |
| # Vineyard Pruning Detection |
|
|
| A segmentation dataset for determining where to prune vineyards. The dataset contains 536 images with with pixel-level mask annotations across 3 categories: trunk, shoot, and pruned shoot. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{pacioni2025vineyard, |
| title={Vineyard dataset for automatic pruning based on main parts localization}, |
| author={Pacioni, Elia and Abeng{\'o}zar, Eugenio and Mac{\'\i}as Mac{\'\i}as, Miguel and Garc{\'\i}a Orellana, Carlos J and Gonz{\'a}lez Velasco, Horacio M and Garc{\'\i}a Manso, Antonio}, |
| journal={Data in Brief}, |
| volume={59}, |
| pages={111335}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Pacioni, Elia; Abengozar-García, Eugenio; Macías Macías, Miguel; García Orellana, Carlos J.; González Velasco, Horacio M.; García Manso, Antonio (2024), “Vineyard dataset for pruning”, Mendeley Data, V2, doi: 10.17632/n8cs4ns97p.2 |
