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# Open Plant Phenotyping Database

The Open Plant Phenotyping Database [OPPD] is a public dataset for visual recognition tasks on images of plant seedlings.

The dataset consists of 7,590 images with 315,038 plant objects, representing 64,292 individual plants from 47 different species. Each plant species has been cultivated using three growth conditions (ideal, drought and natural) and tracked temporally to achieve high intra-species variability.

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More information about the dataset can be found here: https://vision.eng.au.dk/open-plant-phenotyping-database/


<h2>License</h2>
<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons-licens" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png"></a><br>This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International - Licens</a>.

<h2>Citation</h2>
<p>If you use this dataset in your research or elsewhere, please cite/reference the following paper:<br><a rel="noreferrer noopener" aria-label=" (opens in a new tab)" href="https://www.mdpi.com/2072-4292/12/8/1246" target="_blank">PAPER: Open Plant Phenotype Database of Common Weeds in Denmark</a></p>

<h4>Bibtex:</h4>

<pre class="wp-block-preformatted">@article{Madsen2020OPPD,<br>author = {Madsen, Simon Leminen and Mathiassen, Solvejg Kopp and Dyrmann, Mads and Laursen, Morten Stigaard and Paz, Laura-Carlota and J{\o}rgensen, Rasmus Nyholm},<br>doi = {10.3390/RS12081246},<br>journal = {Remote Sensing},<br>keywords = {dataset,plant phenotyping,plant seedlings,weed control},<br>month = {apr},<br>number = {8},<br>pages = {1246},<br>publisher = {Multidisciplinary Digital Publishing Institute},<br>title = {{Open Plant Phenotype Database of Common Weeds in Denmark}},<br>url = {https://www.mdpi.com/691100},<br>volume = {12},<br>year = {2020}<br>}</pre>


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