WHU Building Dataset The WHU Building Dataset is a widely used benchmark for building extraction from high resolution aerial imagery. It contains aerial images at 0.3m resolution with pixel level binary building masks. Dataset Description Property Value Resolution 0.3m ground sampling distance Tile Size 512 x 512 pixels Channels 3 (RGB) Classes 2 (Background=0, Building=255) Format PNG Splits Split Images Masks Train 5,732 5,732 Val 1,228 1,228 Test 1,228 1,228 Total 8,188 8,188 Directory Structure Usage With GeoAI Direct Download Pre trained Model A pre trained EfficientNet B4 + UNet++ model achieving 0.9054 IoU on the test split is available at: giswqs/whu building unetplusplus efficientnet b4 Label Format Background : pixel value 0 Building : pixel value 255 Note : When training with CrossEntropyLoss, remap labels from 0/255 to 0/1. Citation References Original dataset: WHU Building Dataset GeoAI package: https://github.com/opengeos/geoai
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