Datasets:

Project-AgML
/

Medjool_date_ripeness_detection

dataset_info:
  features:
    - name: image
      dtype: image
    - name: objects
      struct:
        - name: bbox
          list:
            list: float64
        - name: categories
          list:
            class_label:
              names:
                '0': Ripe_DateFruit
                '1': Unripe_DateFruit
  splits:
    - name: train
      num_bytes: 4326261690
      num_examples: 1415
  download_size: 5010660138
  dataset_size: 4326261690
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - object-detection
size_categories:
  - 1K<n<10K

Medjool Date Ripeness Detection

A dataset for detection of Medjool Date ripeness. The dataset contains 1,415 images with 58,348 bounding box annotations across 2 categories.

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

Citation

@article{perez2021dataset,
  title={Dataset for localization and classification of Medjool dates in digital images},
  author={P{\'e}rez-P{\'e}rez, Dalila Blanca and Salom{\'o}n-Torres, Ricardo and Garc{\'\i}a-V{\'a}zquez, Juan Pablo},
  journal={Data in Brief},
  volume={36},
  pages={107116},
  year={2021},
  publisher={Elsevier}
}

García Vázquez , Juan Pablo; Pérez Pérez, Dalila Blanca; Salomón Torres, Ricardo (2021), “MedjoolDates_Dataset”, Mendeley Data, V2, doi: 10.17632/872xk9npmz.2

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