Datasets:
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. 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.
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