Dataset Open Access

Embrapa Wine Grape Instance Segmentation Dataset – Embrapa WGISD

Thiago Santos; de Souza, Leonardo; dos Santos Andreza; Avila, Sandra


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  <identifier identifierType="DOI">10.5281/zenodo.3361736</identifier>
  <creators>
    <creator>
      <creatorName>Thiago Santos</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9272-3403</nameIdentifier>
      <affiliation>Embrapa Agricultural Informatics</affiliation>
    </creator>
    <creator>
      <creatorName>de Souza, Leonardo</creatorName>
      <givenName>Leonardo</givenName>
      <familyName>de Souza</familyName>
      <affiliation>University of Campinas</affiliation>
    </creator>
    <creator>
      <creatorName>dos Santos Andreza</creatorName>
    </creator>
    <creator>
      <creatorName>Avila, Sandra</creatorName>
      <givenName>Sandra</givenName>
      <familyName>Avila</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9068-938X</nameIdentifier>
      <affiliation>University of Campinas</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Embrapa Wine Grape Instance Segmentation Dataset – Embrapa WGISD</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>instance segmentation</subject>
    <subject>object detection</subject>
    <subject>viticulture</subject>
    <subject>agriculture</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-07-26</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3361736</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/thsant/wgisd/tree/1.0.0</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3361735</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">Creative Commons Attribution Non Commercial Share Alike 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Embrapa Wine Grape Instance Segmentation Dataset &amp;ndash; Embrapa WGISD&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;For a detailed description of this dataset, following the &lt;em&gt;datasheet for the datasets&lt;/em&gt; recommendation proposed by &lt;a href="https://arxiv.org/abs/1803.09010"&gt;Gebru et al.&lt;/a&gt;, check the &lt;strong&gt;README.md&lt;/strong&gt; file.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Motivation for Dataset Creation&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Why was the dataset created?&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;Embrapa WGISD (&lt;em&gt;Wine Grape Instance Segmentation Dataset&lt;/em&gt;) was created to provide images and annotation to study &lt;em&gt;object detection and instance segmentation&lt;/em&gt; for image-based monitoring and field robotics in viticulture. It provides instances from five different grape varieties taken on field. These instances shows variance in grape pose,&lt;br&gt;
illumination and focus, including genetic and phenological variations such as shape, color and compactness.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;What (other) tasks could the dataset be used for?&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;Possible uses include relaxations of the instance segmentation problem: classification (Is a grape in the image?), semantic segmentation (What are the &amp;quot;grape pixels&amp;quot; in the image?), and object detection (Where are the grapes in the image?). The WGISD can also be used in grape variety identification.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
    <description descriptionType="Other">The building of the WGISD dataset was supported by the Embrapa SEG Project 01.14.09.001.05.04, Image-based metrology for Precision Agriculture and Phenotyping, and the CNPq PIBIC Program (grants 161165/2017-6 and 125044/2018-6).</description>
    <description descriptionType="Other">{"references": ["Santos, T.T., Souza, L.L., Santos, A.M., &amp; Avila, S.E. (2019). Grape detection, segmentation and tracking using deep neural networks and three-dimensional association. ArXiv, abs/1907.11819."]}</description>
  </descriptions>
</resource>
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