| --- |
| 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.* |
