| --- |
| 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.* |
|
|
