---
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.*