Datasets:
File size: 1,896 Bytes
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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.* |