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CoFly Weed DB Weed Segmentation
A dataset for semantic segmentation of weeds in a cotton field. The dataset contains 201 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{krestenitis2022cofly,
title={CoFly-WeedDB: A UAV image dataset for weed detection and species identification},
author={Krestenitis, Marios and Raptis, Emmanuel K and Kapoutsis, Athanasios Ch and Ioannidis, Konstantinos and Kosmatopoulos, Elias B and Vrochidis, Stefanos and Kompatsiaris, Ioannis},
journal={Data in Brief},
volume={45},
pages={108575},
year={2022},
publisher={Elsevier}
}
Marios Krestenitis, Emmanuel K. Raptis, Athanasios Ch. Kapoutsis, Konstantinos Ioannidis, Elias B. Kosmatopoulos, Stefanos Vrochidis& Ioannis Kompatsiaris. (2022). CoFly-WeedDB: A UAV image dataset for weed detection and species identification (Version 1.0) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.6697343
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