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
@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.