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    <identifier>10.57760/sciencedb.j00001.00793</identifier>
    <datestamp>2023-04-11T15:32:38Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2023-04-11</dc:date>
  <dc:title>Deep learning identification image dataset of underground tectonic coal with five destruction types in China mines  in 2020-2021</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00001.00793</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This&amp;nbsp;dataset&amp;nbsp;is&amp;nbsp;the&amp;nbsp;first&amp;nbsp;image&amp;nbsp;dataset&amp;nbsp;of&amp;nbsp;tectonic&amp;nbsp;coal&amp;nbsp;destruction&amp;nbsp;type&amp;nbsp;constructed&amp;nbsp;at&amp;nbsp;home&amp;nbsp;and&amp;nbsp;abroad.&amp;nbsp;It&amp;nbsp;is&amp;nbsp;collected&amp;nbsp;by&amp;nbsp;professional&amp;nbsp;and&amp;nbsp;technical&amp;nbsp;personnel&amp;nbsp;in&amp;nbsp;the&amp;nbsp;underground&amp;nbsp;environment&amp;nbsp;of&amp;nbsp;three&amp;nbsp;coal&amp;nbsp;mines&amp;nbsp;and&amp;nbsp;their&amp;nbsp;subordinate&amp;nbsp;coal&amp;nbsp;mines.&amp;nbsp;In&amp;nbsp;the&amp;nbsp;process&amp;nbsp;of&amp;nbsp;data&amp;nbsp;collection,&amp;nbsp;screening&amp;nbsp;and&amp;nbsp;processing,&amp;nbsp;it&amp;nbsp;fully&amp;nbsp;reflects&amp;nbsp;the&amp;nbsp;authenticity,&amp;nbsp;standardization&amp;nbsp;and&amp;nbsp;reliability&amp;nbsp;criteria&amp;nbsp;of&amp;nbsp;data&amp;nbsp;set&amp;nbsp;construction.&amp;nbsp;According&amp;nbsp;to&amp;nbsp;the&amp;nbsp;standard&amp;nbsp;classification&amp;nbsp;criteria&amp;nbsp;of&amp;nbsp;five&amp;nbsp;coal&amp;nbsp;destruction&amp;nbsp;types,&amp;nbsp;this&amp;nbsp;data&amp;nbsp;set&amp;nbsp;covers&amp;nbsp;five&amp;nbsp;destruction&amp;nbsp;types&amp;nbsp;of&amp;nbsp;Nondestructive&amp;nbsp;coal,&amp;nbsp;Destructive&amp;nbsp;coal,&amp;nbsp;Strongly&amp;nbsp;destructive&amp;nbsp;coal,&amp;nbsp;Pulverized&amp;nbsp;coal&amp;nbsp;and&amp;nbsp;Fully&amp;nbsp;pulverized&amp;nbsp;coal,&amp;nbsp;with&amp;nbsp;a&amp;nbsp;total&amp;nbsp;of&amp;nbsp;1031&amp;nbsp;images,&amp;nbsp;which&amp;nbsp;can&amp;nbsp;provide&amp;nbsp;reliable&amp;nbsp;image&amp;nbsp;data&amp;nbsp;for&amp;nbsp;deep&amp;nbsp;learning&amp;nbsp;for&amp;nbsp;relevant&amp;nbsp;researchers&amp;nbsp;in&amp;nbsp;the&amp;nbsp;field.</dc:description>
  <dc:subject>tectonic coal; destruction type; deep learning; images; Downhole environment</dc:subject>
  <dc:creator>LV Fu</dc:creator>
  <dc:creator>HAN Xiaotian</dc:creator>
  <dc:creator>LIU Tie</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11922/11-6035.csd.2023.0087.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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