August 20, 2020 Dataset Open Access

DAVID, Etienne

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{
  "description": "<p>The latest version is V4.</p>\n\n<p>This is the only official version of the Global Wheat Head Dataset presented in David et al. (2020) . It&#39;s a corrected version of the dataset published on Kaggle, and the one used for the Codalab challenge.</p>\n\n<p>Test labels are available on request by filling the form <a href=\"https://docs.google.com/forms/d/e/1FAIpQLSciaWUwQDNFP199Xb0Iqt2fY67tQI0hAZBJCCfvwd5OuIVQ3A/viewform?usp=sf_link\">here </a>&nbsp;or contacting <strong>etienne.david@outlook.com</strong></p>\n\n<p>If you use the dataset for your paper, please cite:&nbsp;<a href=\"https://doi.org/10.34133/2020/3521852\">https://doi.org/10.34133/2020/3521852</a></p>\n\n<p>If you want to benchmark your solution and get localization and counting metrics, please submit to the codalab challenge:&nbsp;</p>", 
  "license": "https://opensource.org/licenses/MIT", 
  "creator": [
    {
      "affiliation": "INRAE / Arvalis", 
      "@id": "https://orcid.org/0000-0003-1116-5540", 
      "@type": "Person", 
      "name": "DAVID, Etienne"
    }
  ], 
  "url": "https://zenodo.org/record/4298502", 
  "datePublished": "2020-08-20", 
  "version": "4", 
  "keywords": [
    "deep learning", 
    "wheat head", 
    "detection dataset"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/6b9462c2-f446-4342-a6d3-d4fc7012ea0b/global-wheat-codalab-official.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.4298502", 
  "@id": "https://doi.org/10.5281/zenodo.4298502", 
  "@type": "Dataset", 
  "name": "Global Wheat Head Dataset - 2020 challenge version"
}