datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vineyard-pruning
Dataset Card for Vineyard Dataset for Pruning
This is a FiftyOne dataset with 536 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/vineyard-pruning")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/vineyard-pruning.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.qwen_image_pruning_Cat_Miniature_World