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dataset_info:
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- 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:
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data_files:
- split: train
path: data/train-*
license: cc-by-4.0
size_categories:
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---
# 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.*
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