Generating building geometries from satellite imagery
Currently, the OpenStreetMap dataset for the Calgary, Alberta, Canada region is lacking most of the city's building footprints. The City of Calgary possesses a dataset of the building footprints, however it opts to sell this data rather than distribute it for free via its open data catalogue. The City of Edmonton does distribute its respective building footprint dataset freely and thus the footprints are available via OpenStreetMap. Utilizing high resolution satellite imagery of the City of Edmonton and the building footprint dataset from OpenStreetMap, it should be feasible to train a neural network classifier to generate building footprint polygons from provided satellite imagery of the Calgary region.
A similar challenge Kaggle competition exists: Dstl's Satellite Imagery competition