Datasets:

Project-AgML
/

cabbage_instance_segmentation

dataset_info:
  features:
    - name: image
      dtype: image
    - name: mask
      dtype: image
  splits:
    - name: train
      num_bytes: 726618831
      num_examples: 458
  download_size: 726699395
  dataset_size: 726618831
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - image-segmentation
size_categories:
  - n<1K

Cabbage Instance Segmentation

A dataset for semantic segmentation of Cabbage Instance Segmentation. The dataset contains 458 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{yokoyama2024instance,
  title={An instance segmentation dataset of cabbages over the whole growing season for UAV imagery},
  author={Yokoyama, Yui and Matsui, Tsutomu and Tanaka, Takashi ST},
  journal={Data in Brief},
  volume={55},
  pages={110699},
  year={2024},
  publisher={Elsevier}
}

Yokoyama, Yui; Matsui, Tsutomu; Tanaka, S.T. Takashi (2024), “An annotated image dataset of cabbages for instance segmentation”, Mendeley Data, V2, doi: 10.17632/5cp2dyjczk.2