Datasets:
File size: 1,355 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype: image
splits:
- name: train
num_bytes: 138586362
num_examples: 72
download_size: 138594223
dataset_size: 138586362
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-segmentation
size_categories:
- n<1K
---
# Merlot Mildew Segmentation
A dataset for segmentation of Merlot grapevines with mildew. The dataset contains 72 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{abdelghafour2021annotated,
title={An annotated image dataset of downy mildew symptoms on Merlot grape variety},
author={Abdelghafour, Florent and Keresztes, Barna and Deshayes, Aymeric and Germain, Christian and Da Costa, Jean-Pierre},
journal={Data in Brief},
volume={37},
pages={107250},
year={2021},
publisher={Elsevier}
}
```
abdelghafour, Florent; Keresztes, Barna ; Deshayes, Aymeric ; Germain, Christian ; Da Costa, Jean-Pierre (2021), “An annotated image dataset of downy mildew symptoms on Merlot grape variety”, Mendeley Data, V1, doi: 10.17632/yxf2yv5ymt.1
*This dataset was reformatted from its original format to match HuggingFace standards.* |