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Service Description: This dataset contains 1,020,048 building footprints generated by Microsoft. The building footprint extraction was done in two stages: semantic segmentation, recognition of building pixels on aerial images, and polygonization, converting of building pixels to polygons.
The pixel error on the evaluation set is 1.15%. Pixel recall/precision = 94.5%/94.5%. The building matching precision/recall= 99.3%/93.5%.
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Description: This dataset contains 1,020,048 building footprints generated by Microsoft. The building footprint extraction was done in two stages: semantic segmentation, recognition of building pixels on aerial images, and polygonization, converting of building pixels to polygons.
The pixel error on the evaluation set is 1.15%. Pixel recall/precision = 94.5%/94.5%. The building matching precision/recall= 99.3%/93.5%.
Copyright Text: Microsoft
Spatial Reference:
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Spatial Reference: 102100
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Spatial Reference: 102100
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Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: Microsoft WV Building Footprints 2018
Author:
Comments: This dataset contains 1,020,048 building footprints generated by Microsoft. The building footprint extraction was done in two stages: semantic segmentation, recognition of building pixels on aerial images, and polygonization, converting of building pixels to polygons.
The pixel error on the evaluation set is 1.15%. Pixel recall/precision = 94.5%/94.5%. The building matching precision/recall= 99.3%/93.5%.
Subject: West Virginia Building Footprints as of 2018/02/07 from Microsoft
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Keywords: Building Footprint,WVGISTC,West Virginia
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