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    <identifier>10.11922/sciencedb.01121</identifier>
    <datestamp>2021-09-06T11:07:53Z</datestamp>
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  <dc:date>2021-09-06</dc:date>
  <dc:title>UAV data monitoring plastic waste dataset</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.01121</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Plastic waste is one of the main factors causing marine environmental pollution and affecting biodiversity, and identification and detection of plastic waste is the premise of removal and treatment. Unmanned aerial vehicle (UAV) is gradually applied to the identification and classification of plastic waste because of its advantages of simplicity, convenience and safe operation, but the current visual interpretation method is inefficient and cumbersome. To support the detection of plastic waste, researchers have developed various automatic and semi-automatic algorithms.Dataset is an automatic detection service.</dc:description>
  <dc:subject>plastic waste; Deep learning; Automatic detection</dc:subject>
  <dc:creator>Wenlong Han</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
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  <dc:publisher>Science Data Bank</dc:publisher>
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