Datasets:
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README.md
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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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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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This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
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## Citation
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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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*This dataset was reformatted from its original format to match HuggingFace standards.*
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