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    <identifier>10.57760/sciencedb.13652</identifier>
    <datestamp>2025-02-17T11:31:59Z</datestamp>
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  <dc:date>2025-02-17</dc:date>
  <dc:title>IR-TSS (IR Traffic Scene simulation dataset)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.13652</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>IR Traffic Scene simulation dataset (IR-TSS) by collecting a large amount of simulated images.The dataset contains 7 different categories of objects such as people, cars, vans, motorcycles, bicycles, buses, trucks and more than 11,000 instances of objects. In order to ensure the diversity of imaging scales and angles for different traffic targets, the UAV captured simulated image data at 40 m, 70 m, 90 m, and 120 m heights in the Unreal Engine traffic scene at 90&amp;deg; and 60&amp;deg; viewing angles.</dc:description>
  <dc:subject> infrared image sequence;  road traffic; UAV; simulation</dc:subject>
  <dc:creator>Jinhui Lan</dc:creator>
  <dc:creator>Tuerniyazi Aibibu</dc:creator>
  <dc:creator>Yiliang Zeng</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
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  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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