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Project-AgML/greenhouse_leafy_segmentation

Greenhouse Leafy Segmentation A dataset for semantic segmentation of plants growing in a greenhouse hydroponic environment. The dataset contains 3,348 images with pixel-level mask annotations. This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{cardenasgallegos2025reliable, title={Reliable plant segmentation under variable greenhouse illumination conditions}, author={Cardenas-Gallegos, Jonathan S.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/greenhouse_leafy_segmentation.

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Greenhouse Leafy Segmentation

A dataset for semantic segmentation of plants growing in a greenhouse hydroponic environment. The dataset contains 3,348 images with pixel-level mask annotations.

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

Citation

bibtex

@article{cardenasgallegos2025reliable,
  title={Reliable plant segmentation under variable greenhouse illumination conditions},
  author={Cardenas-Gallegos, Jonathan S. and Severns, Paul M. and Klimeš, Pavel and N. Lacerda, Lorena and Peduzzi, Alicia and Soranz Ferrarezi, Rhuanito},
  journal={Computers and Electronics in Agriculture},
  volume={229},
  pages={109711},
  year={2025},
  publisher={Elsevier}
}

Jonathan Cárdenas. (2024). JSCG95/leafy-segmentation_CEA: Data availability release (Version V1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.11110409

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