Datasets:
metadata
dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype:
image:
mode: L
splits:
- name: train
num_bytes: 1236712550
num_examples: 670
download_size: 1236834019
dataset_size: 1236712550
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
task_categories:
- image-segmentation
size_categories:
- n<1K
Apple Segmentation Minnesota
A dataset for semantic segmentation of Apple Segmentation Minnesota. The dataset contains 670 images with pixel-level mask annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@misc{hani2019minneapple,
title={MinneApple: A Benchmark Dataset for Apple Detection and Segmentation},
author={Nicolai Häni and Pravakar Roy and Volkan Isler},
year={2019},
eprint={1909.06441},
archivePrefix={arXiv},
primaryClass={cs.CV}
}