Dataset Open Access
<?xml version='1.0' encoding='utf-8'?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#"> <rdf:Description rdf:about="https://doi.org/10.5281/zenodo.4298502"> <rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/> <dct:type rdf:resource="http://purl.org/dc/dcmitype/Dataset"/> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.4298502</dct:identifier> <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.4298502"/> <dct:creator> <rdf:Description rdf:about="http://orcid.org/0000-0003-1116-5540"> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">0000-0003-1116-5540</dct:identifier> <foaf:name>DAVID, Etienne</foaf:name> <foaf:givenName>Etienne</foaf:givenName> <foaf:familyName>DAVID</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>INRAE / Arvalis</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:title>Global Wheat Head Dataset - 2020 challenge version</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued> <dcat:keyword>deep learning</dcat:keyword> <dcat:keyword>wheat head</dcat:keyword> <dcat:keyword>detection dataset</dcat:keyword> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-08-20</dct:issued> <owl:sameAs rdf:resource="https://zenodo.org/record/4298502"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/4298502</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.4252245"/> <owl:versionInfo>4</owl:versionInfo> <dct:description><p>The latest version is V4.</p> <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> <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> <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> <p>If you want to benchmark your solution and get localization and counting metrics, please submit to the codalab challenge:&nbsp;</p></dct:description> <dct:description>{"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"]}</dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dcat:distribution> <dcat:Distribution> <dct:rights> <dct:RightsStatement rdf:about="https://opensource.org/licenses/MIT"> <rdfs:label>MIT License</rdfs:label> </dct:RightsStatement> </dct:rights> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.4298502"/> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL>https://doi.org/10.5281/zenodo.4298502</dcat:accessURL> <dcat:byteSize>6928178075</dcat:byteSize> <dcat:downloadURL>https://zenodo.org/record/4298502/files/global-wheat-codalab-official.zip</dcat:downloadURL> <dcat:mediaType>application/zip</dcat:mediaType> </dcat:Distribution> </dcat:distribution> </rdf:Description> </rdf:RDF>
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