Project-AgML/GobhiSet_cauliflower_segmentation

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

@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.