---
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.*