Dataset Open Access
Souza, Lucas;
Santos, Andre;
Azpurua, Hector;
Resende Filho, Levi;
Domingues, Jaco;
Matos, Saulo;
Nyarko, Samuel;
Melo Euzebio, Thiago Antonio;
Pessin, Gustavo
<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
<identifier identifierType="DOI">10.14278/rodare.3218</identifier>
<creators>
<creator>
<creatorName>Souza, Lucas</creatorName>
<givenName>Lucas</givenName>
<familyName>Souza</familyName>
<affiliation>Vale</affiliation>
</creator>
<creator>
<creatorName>Santos, Andre</creatorName>
<givenName>Andre</givenName>
<familyName>Santos</familyName>
<affiliation>ITV</affiliation>
</creator>
<creator>
<creatorName>Azpurua, Hector</creatorName>
<givenName>Hector</givenName>
<familyName>Azpurua</familyName>
</creator>
<creator>
<creatorName>Resende Filho, Levi</creatorName>
<givenName>Levi</givenName>
<familyName>Resende Filho</familyName>
<affiliation>ITV</affiliation>
</creator>
<creator>
<creatorName>Domingues, Jaco</creatorName>
<givenName>Jaco</givenName>
<familyName>Domingues</familyName>
<affiliation>ITV</affiliation>
</creator>
<creator>
<creatorName>Matos, Saulo</creatorName>
<givenName>Saulo</givenName>
<familyName>Matos</familyName>
<affiliation>ITV</affiliation>
</creator>
<creator>
<creatorName>Nyarko, Samuel</creatorName>
<givenName>Samuel</givenName>
<familyName>Nyarko</familyName>
</creator>
<creator>
<creatorName>Melo Euzebio, Thiago Antonio</creatorName>
<givenName>Thiago Antonio</givenName>
<familyName>Melo Euzebio</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2974-8621</nameIdentifier>
</creator>
<creator>
<creatorName>Pessin, Gustavo</creatorName>
<givenName>Gustavo</givenName>
<familyName>Pessin</familyName>
<affiliation>ITV</affiliation>
</creator>
</creators>
<titles>
<title>Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size Estimation in the Primary Crusher Input</title>
</titles>
<publisher>Rodare</publisher>
<publicationYear>2024</publicationYear>
<subjects>
<subject>Object Detection</subject>
<subject>Instance Segmentation</subject>
<subject>Deep Learning</subject>
<subject>Particle Size Measurement</subject>
<subject>Crushing Circuit</subject>
</subjects>
<dates>
<date dateType="Issued">2024-10-22</date>
</dates>
<resourceType resourceTypeGeneral="Dataset"/>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/3218</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-39738</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-39536</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.3217</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/fwd</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/hzdr</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
</relatedIdentifiers>
<rightsList>
<rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract"><p>The data contains the analysis results of the research work.</p></description>
</descriptions>
</resource>
| All versions | This version | |
|---|---|---|
| Views | 526 | 526 |
| Downloads | 10 | 10 |
| Data volume | 9.1 MB | 9.1 MB |
| Unique views | 456 | 456 |
| Unique downloads | 10 | 10 |