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Project-AgML/vineyard_pruning_segmentation

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 @article{pacioni2025vineyard, title={Vineyard dataset for automatic pruning based on main parts localization}, author={Pacioni, Elia and… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/vineyard_pruning_segmentation.

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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