Datasets:

Project-AgML
/

LSID_bean_segmentation

dataset_info:
  features:
    - name: image
      dtype: image
    - name: mask
      dtype: image
    - name: subject_id
      dtype: int64
    - name: observation
      list: string
  splits:
    - name: train
      num_bytes: 965374576
      num_examples: 6981
  download_size: 935848216
  dataset_size: 965374576
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - image-segmentation
size_categories:
  - 1K<n<10K

LSID Bean Segmentation

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.

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

Citation

@article{da2025bean,
  title={Bean leaf image dataset annotated with leaf dimensions, segmentation masks, and camera calibration},
  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},
  journal={Data in Brief},
  volume={59},
  pages={111328},
  year={2025},
  publisher={Elsevier}
}

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

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