---
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

```bibtex
@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.*