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@@ -16,4 +16,31 @@ configs:
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  data_files:
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  - split: train
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  path: data/train-*
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  data_files:
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  - split: train
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  path: data/train-*
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-segmentation
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+ # Greenhouse Leafy Segmentation
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+
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+ A dataset for semantic segmentation of plants growing in a greenhouse hydroponic environment. The dataset contains 3,348 images with pixel-level mask annotations.
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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{cardenasgallegos2025reliable,
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+ title={Reliable plant segmentation under variable greenhouse illumination conditions},
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+ author={Cardenas-Gallegos, Jonathan S. and Severns, Paul M. and Klimeš, Pavel and N. Lacerda, Lorena and Peduzzi, Alicia and Soranz Ferrarezi, Rhuanito},
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+ journal={Computers and Electronics in Agriculture},
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+ volume={229},
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+ pages={109711},
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+ year={2025},
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+ publisher={Elsevier}
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+ }
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+ ```
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+ Jonathan Cárdenas. (2024). JSCG95/leafy-segmentation_CEA: Data availability release (Version V1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.11110409
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+
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+ *This dataset was reformatted from its original format to match HuggingFace standards.*