Dataset Open Access

spotGEO dataset

Chen, Bo; Liu, Daqi; Chin, Tat-Jun; Rutten, Mark; Derksen, Dawa; Märtens, Marcus; von Looz, Moritz; Lecuyer, Gurvan; Izzo, Dario


DataCite XML Export

<?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">10.5281/zenodo.3874326</identifier>
  <creators>
    <creator>
      <creatorName>Chen, Bo</creatorName>
      <givenName>Bo</givenName>
      <familyName>Chen</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1589-8082</nameIdentifier>
      <affiliation>The University of Adelaide</affiliation>
    </creator>
    <creator>
      <creatorName>Liu, Daqi</creatorName>
      <givenName>Daqi</givenName>
      <familyName>Liu</familyName>
      <affiliation>The University of Adelaide</affiliation>
    </creator>
    <creator>
      <creatorName>Chin, Tat-Jun</creatorName>
      <givenName>Tat-Jun</givenName>
      <familyName>Chin</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2423-9342</nameIdentifier>
      <affiliation>The University of Adelaide</affiliation>
    </creator>
    <creator>
      <creatorName>Rutten, Mark</creatorName>
      <givenName>Mark</givenName>
      <familyName>Rutten</familyName>
      <affiliation>InTrack Solutions</affiliation>
    </creator>
    <creator>
      <creatorName>Derksen, Dawa</creatorName>
      <givenName>Dawa</givenName>
      <familyName>Derksen</familyName>
      <affiliation>Advanced Concepts Team</affiliation>
    </creator>
    <creator>
      <creatorName>Märtens, Marcus</creatorName>
      <givenName>Marcus</givenName>
      <familyName>Märtens</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1950-7111</nameIdentifier>
      <affiliation>Advanced Concepts Team</affiliation>
    </creator>
    <creator>
      <creatorName>von Looz, Moritz</creatorName>
      <givenName>Moritz</givenName>
      <familyName>von Looz</familyName>
      <affiliation>Advanced Concepts Team</affiliation>
    </creator>
    <creator>
      <creatorName>Lecuyer, Gurvan</creatorName>
      <givenName>Gurvan</givenName>
      <familyName>Lecuyer</familyName>
      <affiliation>Advanced Concepts Team</affiliation>
    </creator>
    <creator>
      <creatorName>Izzo, Dario</creatorName>
      <givenName>Dario</givenName>
      <familyName>Izzo</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9846-8423</nameIdentifier>
      <affiliation>Advanced Concepts Team</affiliation>
    </creator>
  </creators>
  <titles>
    <title>spotGEO dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>computer vision</subject>
    <subject>space</subject>
    <subject>satellites</subject>
    <subject>sky observation</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-06-08</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3874326</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementedBy" resourceTypeGeneral="Software">10.5281/zenodo.3874368</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3874325</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/esa-act</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0.0</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;The spotGEO dataset is the official dataset of &lt;strong&gt;ESA&amp;#39;s Kelvins&lt;/strong&gt; &lt;strong&gt;competition for &amp;quot;spotting GEO satellites&amp;quot;&lt;/strong&gt;. It consists of&amp;nbsp;6 400 grayscale&amp;nbsp;image sequences of the night sky. These sequences were acquired from multiple positions using a low-cost ground based telescope. Each sequence consists of 5 frames, so in total this dataset consists of 32 000 grayscale .png-images.&lt;/p&gt;

&lt;p&gt;The goal of the competition is to find geostationary objects, which often appear as very faint and smeared out blobs. The occurence of stars (streaks), clouds and other sources of noise in the image add - among other factors - to the difficulty of this task. Part of the dataset has been annotated to support machine learning approaches. Participants of the challenge are tasked to reconstruct the annotations for the remaining sequences.&lt;/p&gt;

&lt;p&gt;For a detailed description on the challenge and this dataset, visit&amp;nbsp;&lt;a href="https://kelvins.esa.int/spot-the-geo-satellites"&gt;https://kelvins.esa.int/spot-the-geo-satellites&lt;/a&gt;.&lt;/p&gt;</description>
  </descriptions>
</resource>
898
2,321
views
downloads
All versions This version
Views 898898
Downloads 2,3212,321
Data volume 9.8 TB9.8 TB
Unique views 784784
Unique downloads 901901

Share

Cite as