---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: background_type
    dtype: string
  splits:
  - name: train
    num_bytes: 220072978
    num_examples: 4312
  download_size: 220661867
  dataset_size: 220072978
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
size_categories:
- 1K<n<10K
---
# Grapesnet Single Cluster

This dataset provides real-world RGB-D imagery of Sonaka grape clusters in a mixed vineyard environment. Captured using a tripod-mounted smartphone and depth camera system, the collection delivers synchronized color and depth data for agricultural computer vision applications. The dataset contains 4,312 images with no classification, segmentation, or bounding-box annotations.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

## Citation

```bibtex
@article{barbole2023grapesnet,
  title={GrapesNet: Indian RGB & RGB-D vineyard image datasets for deep learning applications},
  author={Barbole, Dhanashree K. and Jadhav, Parul M.},
  journal={Data in Brief},
  volume={48},
  pages={109100},
  year={2023},
  publisher={Elsevier}
}
```

Barbole, Dhanashree; Jadhav, Parul (2023), “GrapesNet: Indian Grape Clusters RGB & RGB-D Image Datasets”, Mendeley Data, V1, doi: 10.17632/mhzmzd5cwx.1

*This dataset was reformatted from its original format to match HuggingFace standards.*