Weed detection dataset with RGB images taken under variable light conditions

Date Issued
2017-09-18
Author(s)
Abstract
Weed detection from images has received a great interest from scientific communities in recent years. However, there are only a few available datasets that can be used for weed detection from unmanned and other ground vehicles and systems. In this paper we present
a new dataset (i.e. Carrot-Weed) for weed detection taken under variable light conditions. The dataset contains RGB images from young carrot seedlings taken during the period of February in the area around Negotino, Republic of Macedonia. We performed initial analysis of the
dataset and report the initial results, obtained using convolutional neural
network architectures.
Subjects

dataset, weed detecti...

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