Leaf counting dataset

Dataset containing  9372 RGB images of weeds with the number of leaves counted.
The images are collected in fields across Denmark using Nokia and Samsung
cell phone cameras; Samsung, Nikon, Canon and Sony consumer cameras; and a Point Grey
industrial camera.

Image samples

Download links

Images (925MB)
Train/test split

License

The images and annotations are distributed under the Creative Commons BY-SA license.

 

 

All use of the data and derived work, including, but not limited to, trained algorithms and machine learning models requires full citation.

THE IMAGES AND ANNOTATIONS ARE PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS DATA, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Citation

If you use this dataset in your research or elsewhere, please cite/reference the following paper:
PAPER: Weed Growth Stage Estimator Using Deep Convolutional Neural Networks

Bibtex

@Article{s18051580,
author = {Teimouri, Nima and Dyrmann, Mads and Nielsen, Per  Rydahl and Mathiassen, Solvejg  Kopp and Somerville, Gayle  J. and Jørgensen, Rasmus  Nyholm},
title = {Weed Growth Stage Estimator Using Deep Convolutional Neural Networks},
journal = {Sensors},
volume = {18},
year = {2018},
number = {5},
url = {http://www.mdpi.com/1424-8220/18/5/1580},
issn = {1424-8220}
}

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Responsible for the page’s content: Mads Dyrmann