| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| - name: date |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 266829610 |
| num_examples: 244 |
| download_size: 266846741 |
| dataset_size: 266829610 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| size_categories: |
| - n<1K |
| --- |
| # Gobhiset Cauliflower Segmentation |
|
|
| This dataset contains real RGB images of cauliflower crops captured in a field environment using drone-based aerial photography. Collected in Portici, Italy, during the autumn of 2020, the imagery depicts cauliflower plants under natural field conditions for agricultural semantic segmentation tasks. |
|
|
| A dataset for semantic segmentation of Gobhiset Cauliflower Segmentation. The dataset contains 244 images with pixel-level mask annotations. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{rana2024gobhiset, |
| title={GobhiSet: Dataset of raw, manually, and automatically annotated RGB images across phenology of Brassica oleracea var. Botrytis}, |
| author={Rana, Shubham and Crimaldi, Mariano and Barretta, Domenico and Carillo, Petronia and Cirillo, Valerio and Maggio, Albino and Sarghini, Fabrizio and Gerbino, Salvatore}, |
| journal={Data in Brief}, |
| volume={54}, |
| pages={110506}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Rana, Shubham; Crimaldi, Mariano; Barretta, Domenico; Carillo, Petronia; Gerbino, Salvatore; Cirillo, Valerio; Maggio, Albino; Sarghini, Fabrizio (2024), “GobhiSet: Dataset of raw, manually and automatically annotated RGB images across phenology of Brassica oleracea var. Botrytis ”, Mendeley Data, V3, doi: 10.17632/dcjjcwc5dh.3 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
