Project-AgML/vegann_mulitcrop_presence_segmentation

Vegann Mulitcrop Presence Segmentation

A dataset for semantic segmentation of various crops. The dataset contains 3,775 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{Madec_Irfan_Velumani_Baret_David_Daubige_Samatan_Serouart_Smith_James_et al._2023,
title={VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation},
volume={10},
ISSN={2052-4463},
url={https://www.nature.com/articles/s41597-023-02098-y},
DOI={10.1038/s41597-023-02098-y},
number={1},
journal={Scientific Data},
author={Madec, Simon and Irfan, Kamran and Velumani, Kaaviya and Baret, Frederic and David, Etienne and Daubige, Gaetan and Samatan, Lucas Bernigaud and Serouart, Mario and Smith, Daniel and James, Chrisbin and Camacho, Fernando and Guo, Wei and De Solan, Benoit and Chapman, Scott C. and Weiss, Marie},
year={2023},
month=may,
pages={302}
}

https://zenodo.org/records/7636408