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Dataset Open Access

Global Wheat Head Dataset - 2020 challenge version

DAVID, Etienne

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<resource xmlns:xsi="" xmlns="" xsi:schemaLocation="">
  <identifier identifierType="DOI">10.5281/zenodo.4271191</identifier>
      <creatorName>DAVID, Etienne</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0003-1116-5540</nameIdentifier>
      <affiliation>INRAE / Arvalis</affiliation>
    <title>Global Wheat Head Dataset - 2020 challenge version</title>
    <subject>deep learning</subject>
    <subject>wheat head</subject>
    <subject>detection dataset</subject>
    <date dateType="Issued">2020-08-20</date>
  <resourceType resourceTypeGeneral="Dataset"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4252245</relatedIdentifier>
    <rights rightsURI="">MIT License</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;!!! DEPRECATED: Please use V3:;/p&gt;

&lt;p&gt;(Your feedback help us to eliminate small bugs)&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=""&gt;here &lt;/a&gt;&amp;nbsp;or contacting &lt;strong&gt;;/strong&gt;&lt;/p&gt;

&lt;p&gt;If you use the dataset for your paper, please cite:&amp;nbsp;&lt;a href=""&gt;;/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>
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