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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# LSID Bean Segmentation
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A dataset for semantic segmentation of bean leaves. The dataset contains 6,981 images with pixel-level mask annotations, along with observations of the state of the leaf.
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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{da2025bean,
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title={Bean leaf image dataset annotated with leaf dimensions, segmentation masks, and camera calibration},
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author={da Silva, Karla Gabriele Florentino and de Magalh{\~a}es Rozatto, Paulo Victor and e Sousa, Kaio de Oliveira and Hudson, Lucas Dias and Meyer, Artur Welerson Sott and Silva, Alemilson Fabiano and Mendes, Igor Tibiri{\c{c}}{\'a} and Borges, Alex Rodrigues and Morais, Leandro Elias and da Silva Maciel, Luiz Maur{\'\i}lio and others},
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journal={Data in Brief},
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volume={59},
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pages={111328},
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year={2025},
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publisher={Elsevier}
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}
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```
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Florentino, Karla; Rozatto, Paulo; Sousa, Kaio; Hudson, Lucas; Meyer, Artur; Silva, Alemilson; Mendes, Igor; Borges, Alex; Morais, Leandro; Maciel, Luiz; Villela, Saulo; Pedrini, Hélio; Vieira, Marcelo (2025), “Leaf on Stem Image Dataset Beans (LSID-Beans)”, Mendeley Data, V3, doi: 10.17632/f42hwwrpgn.3
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*This dataset was reformatted from its original format to match HuggingFace standards.*
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