Datasets:

Project-AgML
/

apple_flower_segmentation

dataset_info:
  features:
    - name: image
      dtype: image
    - name: mask
      dtype:
        image:
          mode: L
  splits:
    - name: train
      num_bytes: 223331091
      num_examples: 148
  download_size: 223347077
  dataset_size: 223331091
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - image-segmentation
size_categories:
  - n<1K

Apple Flower Segmentation

A dataset for semantic segmentation of apple flowers. The dataset contains 148 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{8392727,
author={Dias, Philipe A. and Tabb, Amy and Medeiros, Henry},
journal={IEEE Robotics and Automation Letters},
title={Multispecies Fruit Flower Detection Using a Refined Semantic Segmentation Network},
year={2018},
volume={3},
number={4},
pages={3003-3010},
doi={10.1109/LRA.2018.2849498}
}