---
dataset_info:
  features:
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 278988436
    num_examples: 2960
  download_size: 279036014
  dataset_size: 278988436
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
size_categories:
- 1K<n<10K
---
# Grapesnet Multiple Cluster

This dataset provides real RGB-D images of Sonaka grapevines collected in a mixed environment vineyard setting in Yelavi, Maharashtra, India. Captured using tripod-mounted smartphone and depth cameras, the collection offers synchronized color and depth data under natural field conditions. It supports agricultural computer vision research with diverse imaging scenarios typical of vineyard environments. The dataset contains 2,960 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.*