DeepWeeds 是第一个大型公共多类杂草图像数据集，允许开发强大的分类方法，使机器人杂草控制可行。该数据集包含 17,509 张标记图像，包含澳大利亚的八种全国性重要杂草物种。

Citation

@article{DeepWeeds2019,
author = {Alex Olsen and
Dmitry A. Konovalov and
Bronson Philippa and
Peter Ridd and
Jake C. Wood and
Jamie Johns and
Wesley Banks and
Benjamin Girgenti and
Owen Kenny and
James Whinney and
Brendan Calvert and
Mostafa {Rahimi Azghadi} and
Ronald D. White},
title = {{DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning}},
journal = {Scientific Reports},
year = 2019,
number = 2058,
month = 2,
volume = 9,
issue = 1,
day = 14,
url = "https://doi.org/10.1038/s41598-018-38343-3",
doi = "10.1038/s41598-018-38343-3"
}