Datasets:

Project-AgML
/

wgrape_unipd_bunch_detection

dataset_info:
  features:
    - name: image
      dtype: image
    - name: objects
      struct:
        - name: bbox
          list:
            list: float64
        - name: categories
          list:
            class_label:
              names:
                '0': grape_bunch
    - name: calibrated
      dtype: bool
    - name: cultivar
      dtype: string
    - name: bbch_stage
      dtype: int32
    - name: capture_date
      dtype: string
  splits:
    - name: train
      num_bytes: 2143586823
      num_examples: 343
  download_size: 2143623277
  dataset_size: 2143586823
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - object-detection
size_categories:
  - n<1K

Wgrape Unipd Bunch Detection

wGrapeUNIPD-DL contains lateral-view images of white grape varieties in vertical-shoot-positioned vineyards at six Italian locations and several phenological (BBCH) stages, taken 1.5-3 m from the canopy, with every grape bunch boxed in YOLO format. The Zenodo record holds 343 of them (the article reports 373): 241 size- and colour-calibrated with a Macbeth chart and 102 uncalibrated images taken before bunches formed, which have no boxes; calibration status, cultivar and BBCH stage from the folder names are kept as columns. The dataset contains 343 images with 1,955 bounding box annotations across 1 category.

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

Citation

@article{sozzi2022wgrapeunipd,
  title={wGrapeUNIPD-DL: An open dataset for white grape bunch detection},
  author={Sozzi, Marco and Cantalamessa, Silvia and Cogato, Alessia and Kayad, Ahmed and Marinello, Francesco},
  journal={Data in Brief},
  volume={43},
  pages={108466},
  year={2022},
  publisher={Elsevier}
}

The dataset itself can be cited as:

Sozzi, M., Cantalamessa, S., Cogato, A., Kayad, A., & Marinello, F. (2022). wGrapeUNIPD-DL: an open dataset for white grape bunch detection [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.6757555

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