Datasets:

Project-AgML
/

date_fruit_maturity_detection

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: image
      dtype: image
    - name: variety
      dtype: string
    - name: objects
      struct:
        - name: bbox
          list:
            list: float64
        - name: categories
          list:
            class_label:
              names:
                '0': '0'
                '1': '1'
                '2': '2'
                '3': '3'
  splits:
    - name: train
      num_bytes: 44185079880
      num_examples: 9010
  download_size: 38362337718
  dataset_size: 44185079880
license: cc-by-4.0
task_categories:
  - object-detection
size_categories:
  - 1K<n<10K

Date Fruit Maturity Detection

A dataset for detection of Date Fruit Maturity. The dataset contains 9,010 images with 15,238 bounding box annotations across 4 categories.

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

Citation

@article{zarouit2024date,
  title={Date fruit detection dataset for automatic harvesting},
  author={Zarouit, Yousra and Zekkouri, Hassan and Ouhda, Mohamed and Aksasse, Brahim},
  journal={Data in Brief},
  volume={52},
  pages={109876},
  year={2024},
  publisher={Elsevier}
}

ZAROUIT, Y., ZEKKOURI, H., OUHDA, M.& AKSASSE, B. (2023). Date Fruit Detection Dataset for Computer Vision-Based Automatic Harvesting. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.10143465

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