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@@ -29,4 +29,32 @@ dataset_info:
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  num_examples: 9010
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  download_size: 38362337718
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  dataset_size: 44185079880
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  num_examples: 9010
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  download_size: 38362337718
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  dataset_size: 44185079880
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+ license: cc-by-4.0
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+ task_categories:
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+ - object-detection
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+ # Date Fruit Maturity Detection
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+
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+ A dataset for detection of Date Fruit Maturity. The dataset contains 9,010 images with 15,238 bounding box annotations across 4 categories.
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+
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+ This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{zarouit2024date,
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+ title={Date fruit detection dataset for automatic harvesting},
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+ author={Zarouit, Yousra and Zekkouri, Hassan and Ouhda, Mohamed and Aksasse, Brahim},
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+ journal={Data in Brief},
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+ volume={52},
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+ pages={109876},
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+ year={2024},
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+ publisher={Elsevier}
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+ }
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+ ```
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+
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+ 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
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+
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+ *This dataset was reformatted from its original format to match HuggingFace standards.*