August 20, 2020 Dataset Open Access

DAVID, Etienne

DCAT Export

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        <foaf:name>DAVID, Etienne</foaf:name>
        <foaf:givenName>Etienne</foaf:givenName>
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    <dct:title>Global Wheat Head Dataset - 2020 challenge version</dct:title>
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    <dcat:keyword>deep learning</dcat:keyword>
    <dcat:keyword>wheat head</dcat:keyword>
    <dcat:keyword>detection dataset</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-08-20</dct:issued>
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    <dct:description>&lt;p&gt;The latest version is V4.&lt;/p&gt; &lt;p&gt;This is the only official version of the Global Wheat Head Dataset presented in David et al. (2020) . It&amp;#39;s a corrected version of the dataset published on Kaggle, and the one used for the Codalab challenge.&lt;/p&gt; &lt;p&gt;Test labels are available on request by filling the form &lt;a href="https://docs.google.com/forms/d/e/1FAIpQLSciaWUwQDNFP199Xb0Iqt2fY67tQI0hAZBJCCfvwd5OuIVQ3A/viewform?usp=sf_link"&gt;here &lt;/a&gt;&amp;nbsp;or contacting &lt;strong&gt;etienne.david@outlook.com&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;If you use the dataset for your paper, please cite:&amp;nbsp;&lt;a href="https://doi.org/10.34133/2020/3521852"&gt;https://doi.org/10.34133/2020/3521852&lt;/a&gt;&lt;/p&gt; &lt;p&gt;If you want to benchmark your solution and get localization and counting metrics, please submit to the codalab challenge:&amp;nbsp;&lt;/p&gt;</dct:description>
    <dct:description>{"references": ["David E. et al. Plant Phenomics (2020) : Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods"]}</dct:description>
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