Other Open Access

GBIF-DL: Create a training set on a particular group of living organisms for machine learning applications

Ángela Justamante; Alexis Joly; Jean-Christophe Lombardo; Fabian Robert; Mathias Chouet; Sonia Liñán; karen Soacha; Jaume Piera


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">citizen science</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">deep learning</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">AI</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">artificial intelligence</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">citizen observatories</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">training set</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">automatic species recognition</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">biodiversity</subfield>
  </datafield>
  <controlfield tag="005">20230221164003.0</controlfield>
  <controlfield tag="001">7657640</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Inria</subfield>
    <subfield code="a">Alexis Joly</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Inria</subfield>
    <subfield code="a">Jean-Christophe Lombardo</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Inria</subfield>
    <subfield code="a">Fabian Robert</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Inria</subfield>
    <subfield code="a">Mathias Chouet</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ICM-CSIC</subfield>
    <subfield code="0">(orcid)0000-0003-0431-4683</subfield>
    <subfield code="a">Sonia Liñán</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ICM-CSIC</subfield>
    <subfield code="0">(orcid)0000-0002-4287-1256</subfield>
    <subfield code="a">karen Soacha</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ICM-CSIC</subfield>
    <subfield code="0">(orcid)0000-0001-5818-9836</subfield>
    <subfield code="a">Jaume Piera</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">261987</subfield>
    <subfield code="z">md5:51d6c5ec9bdd06093253815ca07f4203</subfield>
    <subfield code="u">https://zenodo.org/record/7657640/files/GBIF-DL_Cos4Cloud infographic.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2023-02-20</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">user-h2020-cos4cloud</subfield>
    <subfield code="o">oai:zenodo.org:7657640</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">CREAF</subfield>
    <subfield code="a">Ángela Justamante</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">GBIF-DL: Create a training set on a particular group of living organisms for machine learning applications</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-h2020-cos4cloud</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">863463</subfield>
    <subfield code="a">Co-designed Citizen Observatories Services for the EOS-Cloud</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;GBIF-DL is a service that allows users to create a&amp;nbsp;training set on a particular group of living organisms on-demand, i.e. allowing them to solicit specific data, such as images of specific species and/or specific platforms, or images with a sufficient quality of expert validation. For example:&amp;nbsp;A data scientist or a developer who wants to train an&amp;nbsp;artificial intelligence&amp;nbsp;model on a particular group of species using pytorch software will be able to do it very easily. &lt;strong&gt;More information:&lt;/strong&gt;&amp;nbsp;&lt;a href="https://cos4cloud-eosc.eu/services/gbif-dl/"&gt;https://cos4cloud-eosc.eu/services/gbif-dl/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;This service has been developed by Inria in the Cos4Cloud project framework.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Infographic&amp;#39;s designer: Lucas Wainer.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.7657639</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.7657640</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">other</subfield>
  </datafield>
</record>
44
31
views
downloads
All versions This version
Views 4444
Downloads 3131
Data volume 8.1 MB8.1 MB
Unique views 4040
Unique downloads 2828

Share

Cite as