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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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# Phenobench Segmentation
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The PhenoBench_segmentation dataset provides real RGB images and pixel-level segmentation masks for agricultural plant phenotyping. It was collected using standard RGB cameras in typical field and controlled agricultural environments, capturing diverse plant structures and growth stages across multiple phenological stages. The dataset contains 2,179 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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<!-- TODO: add BibTeX citation -->
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```
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<!-- TODO: add plain text citation -->
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*This dataset was reformatted from its original format to match HuggingFace standards.*
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