Images of approximately 960 unique plants belonging to 12 species at several growth stages.
Resolution ~10 px per mm
Species 12
This dataset is a re-hosting of the Plant Seedlings Dataset, originally co-created by Mads Dyrmann and Peter Christiansen and hosted by Aarhus University at https://vision.eng.au.dk/plant-seedlings-dataset (archived version). We thank University of Southern Denmark and Aarhus University for their foundational contribution to this data.
The Plant Seedlings Dataset contains images of approximately 960 unique plants belonging to 12 species at several growth stages. It comprises annotated RGB images with a physical resolution of roughly 10 pixels per mm.
The database have been recorded at Aarhus University Flakkebjerg Research station in a collaboration between University of Southern Denmark and Aarhus University.
We hope that the database will provide researchers a foundation for training weed recognition algorithms. For more info about dataset, see the dataset description paper.
Download links
The dataset contains three files: Full images, automatically segmented plants, and single plants that are not segmented.
NB: segmentation was made automatically, and should not be considered ground truth. Some samples in V1 contained multiple plants, which have been removed from V2.
Non-cropped images
9.7 GB
Cropped plants
258 MB
Images from the wild
15 MB
Content
The database consists of the following species:
| Danish | English | Latin | EPPO |
|---|---|---|---|
| Majs | Maize | Zea mays L. | ZEAMX |
| Vinterhvede | Common wheat | Triticum aestivum L. | TRZAX |
| Sukkerroe | Sugar beet | Beta vulgaris var. altissima | BEAVA |
| Lugtløs kamille | Scentless Mayweed | Matricaria perforata Mérat | MATIN |
| Fuglegræs | Common Chickweed | Stellaria media | STEME |
| Hyrdetaske | Shepherd’s Purse | Capsella bursa-pastoris | CAPBP |
| Burresnerre | Cleavers | Galium aparine L. | GALAP |
| Agersennep | Charlock | Sinapis arvensis L. | SINAR |
| Hvidmelet gåsefod | Fat Hen | Chenopodium album L. | CHEAL |
| Liden storkenæb | Small-flowered Cranesbill | Geranium pusillum | GERSS |
| Agerrævehale | Black-grass | Alopecurus myosuroides | ALOMY |
| Vindaks | Loose Silky-bent | Apera spica-venti | APESV |
Samples
Below you will find samples of each species from the database:
Kaggle competition
The images from this dataset have been subject to a Kaggle image-classification competition. We encourage all to take a look at the dataset and commit their solution to the competition. If you are interested in testing your algorithms on weed images ‘from the wild’ with no artificial lighting, you can find some samples at: Images From The Wild (15MB).
Copyrigth and license
© 2014 Mads Dyrmann, Peter Christiansen, University of Southern Denmark, and Aarhus University
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.
Responsible for the page’s content: Mads Dyrmann
Citation
If you use this dataset in your research or elsewhere, please cite/reference the following paper:
A Public Image Database for Benchmark of Plant Seedling Classification Algorithms ↗
@article{Giselsson2017,
author = {Giselsson, Thomas Mosgaard and Dyrmann, Mads and J{o}rgensen, Rasmus Nyholm and Jensen, Peter Kryger and Midtiby, Henrik Skov},
journal = {arXiv preprint},
keywords = {benchmark,database,plant seedlings,segmentation,site-specific weed control},
title = {{A Public Image Database for Benchmark of Plant Seedling Classification Algorithms}},
year = {2017}
}