Global Urban Network SVI Data

This data set contains segmentation masks for city-scale street view imagery. We employ Meta's Mask2Former approach (Cheng, 2022) for image segmentation. <br> We obtain SVI from Mapillary which is the world's largest platform for free and open street view imagery (SVI). Till date, Mapillary's coverage has penetrated most global cities around the world. Compared to other proprietary options such as Google Street View, Mapillary images are hosted on a CC-BY-SA 4.0 licence, which allows users to freely share, use, and adapt images. <br> Images are subsampled proportionately based on geographic tiling of each city's administrative boundary and filtered to remove non-frontal facing and non-daylight images. <br> <br>