Project-AgML/sugarbeet_weed_segmentation

Sugarbeet Weed Segmentation

A dataset for semantic segmentation of Sugarbeet Weed Segmentation. The dataset contains 125 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{8115245,
author={I. Sa and Z. Chen and M. Popović and R. Khanna and F. Liebisch and J. Nieto and R. Siegwart},
journal={IEEE Robotics and Automation Letters},
title={weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming},
year={2018},
volume={3},
number={1},
pages={588-595},
doi={10.1109/LRA.2017.2774979},
month={Jan}
}

https://github.com/inkyusa/weedNet