Dataset Open Access

The Cube++ Illumination Estimation Dataset

Egor Ershov; Alexey Savchik; Illya Semenkov; Nikola Banić; Alexander Belokopytov; Daria Senshina; Karlo Koščević; Marko Subašić; Sven Lončarić


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  <identifier identifierType="DOI">10.5281/zenodo.4153431</identifier>
  <creators>
    <creator>
      <creatorName>Egor Ershov</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6797-6284</nameIdentifier>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </creator>
    <creator>
      <creatorName>Alexey Savchik</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3035-1365</nameIdentifier>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </creator>
    <creator>
      <creatorName>Illya Semenkov</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1515-7062</nameIdentifier>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </creator>
    <creator>
      <creatorName>Nikola Banić</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3900-8590</nameIdentifier>
      <affiliation>Gideon Brothers, Radni{\v{c}}ka 177, 10000 Zagreb, Croatia</affiliation>
    </creator>
    <creator>
      <creatorName>Alexander Belokopytov</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9698-7206</nameIdentifier>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </creator>
    <creator>
      <creatorName>Daria Senshina</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6287-4083</nameIdentifier>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </creator>
    <creator>
      <creatorName>Karlo Koščević</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9691-4231</nameIdentifier>
      <affiliation>Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia</affiliation>
    </creator>
    <creator>
      <creatorName>Marko Subašić</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4321-4557</nameIdentifier>
      <affiliation>Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia</affiliation>
    </creator>
    <creator>
      <creatorName>Sven Lončarić</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6797-6284</nameIdentifier>
      <affiliation>Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia</affiliation>
    </creator>
  </creators>
  <titles>
    <title>The Cube++ Illumination Estimation Dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Color constancy, dataset, illumination estimation, white balancing, multiple illumination, mixed illumination</subject>
  </subjects>
  <contributors>
    <contributor contributorType="HostingInstitution">
      <contributorName>Dmitry Nikolaev</contributorName>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </contributor>
    <contributor contributorType="DataCollector">
      <contributorName>Maria Yarykina</contributorName>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </contributor>
    <contributor contributorType="DataCollector">
      <contributorName>Ekaterina Panfilova</contributorName>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </contributor>
    <contributor contributorType="DataCollector">
      <contributorName>Viacheslav Vasilyev</contributorName>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </contributor>
    <contributor contributorType="DataCollector">
      <contributorName>Vasily Tesalin</contributorName>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </contributor>
    <contributor contributorType="DataCurator">
      <contributorName>Sergey Emelyanov</contributorName>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </contributor>
    <contributor contributorType="DataCollector">
      <contributorName>Oleg Emelyanov</contributorName>
    </contributor>
    <contributor contributorType="DataCollector">
      <contributorName>Tatyana Postnikova</contributorName>
      <affiliation>Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation</affiliation>
    </contributor>
    <contributor contributorType="DataCollector">
      <contributorName>Sergey Pavlov</contributorName>
    </contributor>
    <contributor contributorType="DataCollector">
      <contributorName>Evgenija Sidorchuk</contributorName>
    </contributor>
    <contributor contributorType="DataCollector">
      <contributorName>Olga Vlasova</contributorName>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2020-10-29</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4153431</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="Cites" resourceTypeGeneral="Preprint">https://arxiv.org/abs/2011.10028</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4153430</relatedIdentifier>
  </relatedIdentifiers>
  <version>2.0</version>
  <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">&lt;p&gt;Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras. One of the important parts of the computational color constancy is illumination estimation, i.e. estimating the illumination color. When an illumination estimation method is proposed, its accuracy is usually reported by providing the values of error metrics obtained on the images of publicly available datasets. However, over time it has been shown that many of these datasets have problems such as too few images, inappropriate image quality, lack of scene diversity, absence of version tracking, violation of various assumptions, GDPR regulation violation, lack of additional shooting procedure info, etc.&lt;/p&gt;

&lt;p&gt;Dataset description and code is available on &lt;a href="https://github.com/Visillect/CubePlusPlus"&gt;https://github.com/Visillect/CubePlusPlus&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Cube++ aims to alleviate many of the mentioned problems and to help the illumination estimation research. It consists of 4890 images with known illumination colors as well as with additional semantic data that can further make the learning process more accurate. Due to the usage of the SpyderCube color target, for every image there are two ground-truth illumination records covering different directions. Because of that, the dataset can be used for training and testing of methods that perform the single or two-illuminant estimation. This makes it superior to many similar existing datasets.&lt;/p&gt;

&lt;p&gt;Also, &lt;strong&gt;a smaller (2GB) and easy to use version of the dataset named SimpleCube++ is provided in SimpleCube++.zip file.&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;For a fast download please use zenodo-get. To install it use the following commands:&lt;/p&gt;

&lt;pre&gt;&lt;code&gt;pip install zenodo-get
zenodo_get https://zenodo.org/record/4153431 --output-dir=Cube++&lt;/code&gt;&lt;/pre&gt;

&lt;p&gt;Please note, that PNG0.zip is missed here. To download it type the following commands&lt;/p&gt;

&lt;pre&gt;&lt;code&gt;cd Cube++/
wget https://storage.yandexcloud.net/cubepng0/PNG0.zip&lt;/code&gt;&lt;/pre&gt;

&lt;p&gt;or (slower)::&lt;/p&gt;

&lt;pre&gt;&lt;code&gt;wget ftp://vis.iitp.ru/Cube++/PNG0.zip&lt;/code&gt;&lt;/pre&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Ershov, Egor, Alex Savchik, Illya Semenkov, Nikola Bani\u0107, Alexander Belokopytov, Daria Senshina, Karlo Koscevi\u0107, Marko Suba\u0161i\u0107, and Sven Lon\u010dari\u0107. \"The Cube++ Illumination Estimation Dataset.\" arXiv preprint arXiv:2011.10028 (2020)."]}</description>
  </descriptions>
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