GEOAI group ranked 4th in the “NASA Harvest Field Boundary Detection Challenge” out of 730 participants. Our github solution repo
GeoUrban-AI tool has been extremley welcomed by the community and received enormous amount of positive feedback so far.
Our new paper Sci-Net: “scale-invariant model for buildings segmentation from aerial imagery” was just published online.
The first comprehensive Lebanese Building Footprints autonomously generated using Deep Learning.
Solar Potential Assessment using Multi-Class Buildings Segmentation from Aerial Images
LOCR serves to mine and analyze spatio-temporal road crashes trends using representative time-series.