<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20230417</CreaDate>
<CreaTime>19462400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>INSPIRE Metadata Directive</ArcGISstyle>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>SAM test segmentation over Santander (Spain), thanks to the MetaAI Segment Anything Model (SAM)</idAbs>
<searchKeys>
<keyword>SAM</keyword>
</searchKeys>
<idPurp>SAM test segmentation over Santander (Spain), thanks to the MetaAI Segment Anything Model (SAM)</idPurp>
<idCredit>Gobierno de Cantabria</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>SAM_Test_Segmentation</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
