Datasets:

Project-AgML
/

GrapesNet_single_cluster

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

@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.