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Global Wheat Head Dataset - 2020 challenge version

DAVID, Etienne


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  <identifier identifierType="DOI">10.5281/zenodo.4252246</identifier>
  <creators>
    <creator>
      <creatorName>DAVID, Etienne</creatorName>
      <givenName>Etienne</givenName>
      <familyName>DAVID</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1116-5540</nameIdentifier>
      <affiliation>INRAE / Arvalis</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Global Wheat Head Dataset - 2020 challenge version</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>deep learning</subject>
    <subject>wheat head</subject>
    <subject>detection dataset</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-08-20</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
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  <version>1</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/restrictedAccess">Restricted Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;DEPRECATED: please download https://zenodo.org/record/4271191&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&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;</description>
    <description descriptionType="Other">{"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"]}</description>
  </descriptions>
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