Datasets:
File size: 1,168 Bytes
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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
```bibtex
@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 |