<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20221211</CreaDate>
<CreaTime>23250500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20221211" Time="232505" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\3D Analyst Tools.tbx\RegularizeBuildingFootprint">RegularizeBuildingFootprint DetConst_071222_USA07_P128B8T512_NonMax "D:\Customer Success\Deep Learning\Residencial Sian Kaan II - Merida - Yucatan\Residencial Sian Kaan II - Merida - Yucatan.gdb\Regularize_BuildingFootprint2" "Any Angles" 0.2 0.2 0.2 2 0.1 1000000 DetConst_071222_USA07_P128B8T512_NonMax "0.2 Meters" Distance</Process>
<Process Date="20221212" Time="121000" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename "D:\Customer Success\Deep Learning\Residencial Sian Kaan II - Merida - Yucatan\Residencial Sian Kaan II - Merida - Yucatan.gdb\Regularize_BuildingFootprint2" "D:\Customer Success\Deep Learning\Residencial Sian Kaan II - Merida - Yucatan\Residencial Sian Kaan II - Merida - Yucatan.gdb\AjusteModeloUSA_BuildingFootprintExtraction" FeatureClass</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>Deep Leaning</keyword>
<keyword>Building Footprint Extraction</keyword>
</searchKeys>
<idPurp>Borde del ajuste del modelo Building Footprint Extraction USA.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>AjusteModeloUSA_BuildingFootprintExtraction_Borde</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
