Datasets:

Project-AgML
/

vineyard_grape_segmentation

dataset_info:
  features:
    - name: image
      dtype: image
    - name: mask
      dtype: image
    - name: row
      dtype: string
  splits:
    - name: train
      num_bytes: 13517766010
      num_examples: 646
  download_size: 13517992306
  dataset_size: 13517766010
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - image-segmentation
size_categories:
  - n<1K

Vineyard Grape Segmentation

A dataset for semantic segmentation of grape bunches in a vineyard. The dataset contains 646 images with pixel-level mask annotations.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{ariza2023dataset,
  title={Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking},
  author={Ariza-Sent{\'\i}s, Mar and V{\'e}lez, Sergio and Valente, Jo{\~a}o},
  journal={Data in Brief},
  volume={46},
  pages={108848},
  year={2023},
  publisher={Elsevier}
}

Mar Ariza Sentís, Sergio Vélez& João Valente. (2021). Dataset on UAV RGB videos acquired over a vineyard property of Bodegas Terras Gauda at an early stage of Botrytis cinerea infection in 2021 (Version 2.0) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7330951

This dataset was reformatted from its original format to match HuggingFace standards.