Project-AgML/vineyard_pruning_segmentation

1---2configs:3- config_name: default4  default: true5  features:6  - name: image7    dtype: image8  - name: mask9    dtype: image10license: cc-by-4.011task_categories:12- image-segmentation13size_categories:14- n<1K15---16 17# Vineyard Pruning Detection18 19A 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. 20 21This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.22 23## Citation24 25```bibtex26@article{pacioni2025vineyard,27  title={Vineyard dataset for automatic pruning based on main parts localization},28  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},29  journal={Data in Brief},30  volume={59},31  pages={111335},32  year={2025},33  publisher={Elsevier}34}35```36 37Pacioni, 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