Datasets:
metadata
dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype: image
splits:
- name: train
num_bytes: 68218679
num_examples: 42
download_size: 68222945
dataset_size: 68218679
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- image-segmentation
size_categories:
- n<1K
Peachpear Flower Segmentation
A dataset for semantic segmentation of peach and pear flowers. The dataset contains 42 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}
}