Dataset Open Access

PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards

Arbash, Elias; Fuchs, Margret; Rasti, Behnood; Lorenz, Sandra; Ghamisi, Pedram; Gloaguen, Richard

DCAT Export

<?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:cnt="http://www.w3.org/2011/content#" 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/10.14278/rodare.2704">
    <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/10.14278/rodare.2704</dct:identifier>
    <foaf:page rdf:resource="https://doi.org/10.14278/rodare.2704"/>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Arbash, Elias</foaf:name>
        <foaf:givenName>Elias</foaf:givenName>
        <foaf:familyName>Arbash</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Helmholtz Institute Freiberg for Resource Technology</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description rdf:about="http://orcid.org/0000-0001-7210-1132">
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Fuchs, Margret</foaf:name>
        <foaf:givenName>Margret</foaf:givenName>
        <foaf:familyName>Fuchs</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Helmholtz Institute Freiberg for Resource Technology</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Rasti, Behnood</foaf:name>
        <foaf:givenName>Behnood</foaf:givenName>
        <foaf:familyName>Rasti</foaf:familyName>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description rdf:about="http://orcid.org/0000-0001-8464-2331">
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Lorenz, Sandra</foaf:name>
        <foaf:givenName>Sandra</foaf:givenName>
        <foaf:familyName>Lorenz</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Helmholtz Institute Freiberg for Resource Technology</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description rdf:about="http://orcid.org/0000-0003-1203-741X">
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Ghamisi, Pedram</foaf:name>
        <foaf:givenName>Pedram</foaf:givenName>
        <foaf:familyName>Ghamisi</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Helmholtz Institute Freiberg for Resource Technology</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description rdf:about="http://orcid.org/0000-0002-4383-473X">
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Gloaguen, Richard</foaf:name>
        <foaf:givenName>Richard</foaf:givenName>
        <foaf:familyName>Gloaguen</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Helmholtz Institute Freiberg for Resource Technology</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:title>PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Rodare</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2024</dct:issued>
    <dcat:keyword>circular economy</dcat:keyword>
    <dcat:keyword>automated data processing</dcat:keyword>
    <dcat:keyword>optical sensors</dcat:keyword>
    <dcat:keyword>recycling</dcat:keyword>
    <dcat:keyword>e-waste</dcat:keyword>
    <dcat:keyword>printed circuit board</dcat:keyword>
    <dcat:keyword>hyperspectral</dcat:keyword>
    <dcat:keyword>dataset</dcat:keyword>
    <dcat:keyword>RGB</dcat:keyword>
    <dcat:keyword>conveyor belt</dcat:keyword>
    <dcat:keyword>sensors</dcat:keyword>
    <dcat:keyword>machine learning</dcat:keyword>
    <dcat:keyword>deep learning</dcat:keyword>
    <dcat:keyword>PCBVision</dcat:keyword>
    <dcat:keyword>open-source data</dcat:keyword>
    <dcat:keyword>digitalization</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2024-01-29</dct:issued>
    <owl:sameAs rdf:resource="https://rodare.hzdr.de/record/2704"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://rodare.hzdr.de/record/2704</skos:notation>
      </adms:Identifier>
    </adms:identifier>
    <dct:relation rdf:resource="https://doi.org/10.48550/arXiv.2401.06528"/>
    <dct:isPartOf rdf:resource="https://www.hzdr.de/publications/Publ-38529"/>
    <owl:sameAs rdf:resource="https://www.hzdr.de/publications/Publ-38684"/>
    <dct:isReferencedBy rdf:resource="https://www.hzdr.de/publications/Publ-38529"/>
    <dct:isVersionOf rdf:resource="https://doi.org/10.14278/rodare.2703"/>
    <dct:isPartOf rdf:resource="https://rodare.hzdr.de/communities/hzdr"/>
    <dct:isPartOf rdf:resource="https://rodare.hzdr.de/communities/rodare"/>
    <owl:versionInfo>1</owl:versionInfo>
    <dct:description>&lt;p&gt;&lt;strong&gt;PCB-Vision Dataset&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;Description:&lt;/p&gt; &lt;p&gt;The PCB-Vision dataset is a multiscene RGB-Hyperspectral benchmark dataset comprising 53 Printed Circuit Boards (PCBs). The RGB images are collected using a Teledyne Dalsa C4020 camera on a conveyor belt, while hyperspectral images (HSI) are acquired with a Specim FX10 spectrometer. The HSI data contains 224 bands in the VNIR range [400 - 1000]nm.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Data Format&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;RGB Images: .png files&lt;/li&gt; &lt;li&gt;PCB Masks: .jpg files&lt;/li&gt; &lt;li&gt;HSI Data: Each hyperspectral data cube is accompanied by a data file and a .hdr file.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Folder Organization&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;PCBVision &lt;ul&gt; &lt;li&gt;HSI/ &lt;ul&gt; &lt;li&gt;53 subfolders (one for each PCB)&lt;/li&gt; &lt;li&gt;&amp;#39;General_masks&amp;#39; folder for &amp;#39;General&amp;#39; segmentation ground truth&lt;/li&gt; &lt;li&gt;&amp;#39;Monoseg_masks&amp;#39; folder for &amp;#39;Monoseg&amp;#39; segmentation ground truth&lt;/li&gt; &lt;li&gt;&amp;#39;PCB_Masks&amp;#39; folder for masks of the 53 PCBs in the hyperspectral cube&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;RGB/ &lt;ul&gt; &lt;li&gt;53 .jpg images&lt;/li&gt; &lt;li&gt;&amp;#39;General&amp;#39;&amp;nbsp;folder for RGB images &amp;#39;General&amp;#39; segmentation ground truth&lt;/li&gt; &lt;li&gt;&amp;#39;Monoseg_masks&amp;#39; folder for RGB images &amp;#39;Monoseg&amp;#39; segmentation ground truth&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Data Classes in Masks&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Masks (both &amp;#39;General&amp;#39; and &amp;#39;Monoseg&amp;#39;) contain 1 to 4 segmentation classes: &lt;ul&gt; &lt;li&gt;0: &amp;quot;Others&amp;quot;&lt;/li&gt; &lt;li&gt;1: &amp;quot;IC&amp;quot;&lt;/li&gt; &lt;li&gt;2: &amp;quot;Capacitors&amp;quot;&lt;/li&gt; &lt;li&gt;3: &amp;quot;Connectors&amp;quot;&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Code Repository&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;To facilitate reading and working with the data, Python codes are available on the GitHub repository:&lt;/p&gt; &lt;p&gt;https://github.com/hifexplo/PCBVision&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Citation&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;If you use this dataset, please cite the following article:&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Word&lt;/strong&gt;:&lt;/p&gt; &lt;p&gt;Arbash, Elias, Fuchs, Margret, Rasti, Behnood, Lorenz, Sandra, Ghamisi, Pedram, &amp;amp; Gloaguen, Richard. (2024). PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards (Version 1) [Data set]. Rodare. &lt;a href="http://doi.org/10.14278/rodare.2704"&gt;http://doi.org/10.14278/rodare.2704&lt;/a&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Latex:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;@article{arbash2024pcb, title={PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards}, author={Arbash, Elias and Fuchs, Margret and Rasti, Behnood and Lorenz, Sandra and Ghamisi, Pedram and Gloaguen, Richard}, journal={arXiv preprint arXiv:2401.06528}, year={2024} }&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Contact&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;For further information or inquiries, please visit our website:&lt;/p&gt; &lt;p&gt;https://www.iexplo.space/&lt;/p&gt; &lt;p&gt;Contact Email: e.arbash@hzdr.de&lt;/p&gt;</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://creativecommons.org/licenses/by/4.0/legalcode">
            <rdfs:label>Creative Commons Attribution 4.0 International</rdfs:label>
          </dct:RightsStatement>
        </dct:rights>
        <dcat:accessURL rdf:resource="https://doi.org/10.14278/rodare.2704"/>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
</rdf:RDF>
485
349
views
downloads
All versions This version
Views 485485
Downloads 349349
Data volume 4.0 TB4.0 TB
Unique views 415415
Unique downloads 134134
More info on how stats are collected.
Publication date:
January 29, 2024
DOI:
10.14278/rodare.2704

RODARE DOI Badge

DOI 

10.14278/rodare.2704

Markdown 

[![DOI](https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2704.svg)](https://doi.org/10.14278/rodare.2704)

reStructedText 

.. image:: https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2704.svg
   :target: https://doi.org/10.14278/rodare.2704

HTML 

<a href="https://doi.org/10.14278/rodare.2704"><img src="https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2704.svg" alt="DOI"></a>

Image URL 

https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2704.svg

Target URL 

https://doi.org/10.14278/rodare.2704

Keyword(s):
circular economy automated data processing optical sensors recycling e-waste printed circuit board hyperspectral dataset RGB conveyor belt sensors machine learning deep learning PCBVision open-source data digitalization
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-38684
Part of:
https://www.hzdr.de/publications/Publ-38529
Referenced by:
https://www.hzdr.de/publications/Publ-38529
Supplement to:
10.48550/arXiv.2401.06528
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.14278/rodare.2704 Jan 29, 2024
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.2703. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export