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    <identifier>10.57760/sciencedb.19802</identifier>
    <datestamp>2025-05-16T13:20:28Z</datestamp>
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  <dc:date>2025-05-16</dc:date>
  <dc:title>ChinaUIS Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.19802</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is used for urban informal settlements classification. The dataset contains a total of 1833 sets of samples, each of which includes a remote sensing image of size 3&amp;times;224&amp;times;224 and four street view images of size 3&amp;times;512&amp;times;1024. The remote sensing images come from Google Earth 18-level high-resolution remote sensing image with a resolution of 1.19m. The street view images come from Baidu Street View API. The samples in this dataset are divided into two categories, namely urban informal settlements (UIS) and non-urban informal settlements (Not-UIS). The dataset contains a total of 643 UIS samples and 1190 Not-UIS samples. All samples come from China&amp;rsquo;s eight megacities with a permanent urban population of more than 10 million (Beijing, Shanghai, Guangzhou, Shenzhen, Tianjin, Chengdu, Wuhan, and Chongqing).</dc:description>
  <dc:subject>urban informal settlements;  remote sensing images;  street view images</dc:subject>
  <dc:creator>Niu Hongyang</dc:creator>
  <dc:creator>Fan Runyu</dc:creator>
  <dc:creator>Chen Jiajun</dc:creator>
  <dc:creator>Xu Zijian</dc:creator>
  <dc:creator>Feng Ruyi</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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