---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: mask
    dtype: image
  splits:
  - name: train
    num_bytes: 29891139
    num_examples: 258
  download_size: 29915145
  dataset_size: 29891139
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- image-segmentation
size_categories:
- n<1K
---

# Red Grapes And Leaves Segmentation

A dataset for semantic segmentation of Red Grapes And Leaves Segmentation. The dataset contains 258 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
@inproceedings{kalampokas2020semantic,
title={Semantic segmentation of vineyard images using convolutional neural networks},
author={Kalampokas, Theofanis and Tziridis, Konstantinos and Nikolaou, Alexandros and Vrochidou, Eleni and Papakostas, George A and Pachidis, Theodore and Kaburlasos, Vassilis G},
booktitle={International Conference on Engineering Applications of Neural Networks},
pages={292--303},
year={2020},
organization={Springer}
}
```