February 20, 2023 Other Open Access

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

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  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>GBIF-DL is a service that allows users to create a&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:&nbsp;A data scientist or a developer who wants to train an&nbsp;artificial intelligence&nbsp;model on a particular group of species using pytorch software will be able to do it very easily. <strong>More information:</strong>&nbsp;<a href=\"https://cos4cloud-eosc.eu/services/gbif-dl/\">https://cos4cloud-eosc.eu/services/gbif-dl/</a></p>\n\n<p>This service has been developed by Inria in the Cos4Cloud project framework.&nbsp;</p>\n\n<p>Infographic&#39;s designer: Lucas Wainer.&nbsp;</p>\n\n<p>&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "CREAF", 
      "@type": "Person", 
      "name": "\u00c1ngela Justamante"
    }, 
    {
      "affiliation": "Inria", 
      "@type": "Person", 
      "name": "Alexis Joly"
    }, 
    {
      "affiliation": "Inria", 
      "@type": "Person", 
      "name": "Jean-Christophe Lombardo"
    }, 
    {
      "affiliation": "Inria", 
      "@type": "Person", 
      "name": "Fabian Robert"
    }, 
    {
      "affiliation": "Inria", 
      "@type": "Person", 
      "name": "Mathias Chouet"
    }, 
    {
      "affiliation": "ICM-CSIC", 
      "@id": "https://orcid.org/0000-0003-0431-4683", 
      "@type": "Person", 
      "name": "Sonia Li\u00f1\u00e1n"
    }, 
    {
      "affiliation": "ICM-CSIC", 
      "@id": "https://orcid.org/0000-0002-4287-1256", 
      "@type": "Person", 
      "name": "karen Soacha"
    }, 
    {
      "affiliation": "ICM-CSIC", 
      "@id": "https://orcid.org/0000-0001-5818-9836", 
      "@type": "Person", 
      "name": "Jaume Piera"
    }
  ], 
  "url": "https://zenodo.org/record/7657640", 
  "datePublished": "2023-02-20", 
  "keywords": [
    "citizen science", 
    "deep learning", 
    "AI", 
    "artificial intelligence", 
    "citizen observatories", 
    "training set", 
    "automatic species recognition", 
    "biodiversity"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.7657640", 
  "@id": "https://doi.org/10.5281/zenodo.7657640", 
  "@type": "CreativeWork", 
  "name": "GBIF-DL: Create a training set on a particular group of living organisms for machine learning applications"
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