train_tier_2/kin/10d200-labels | Open Cities AI Challenge Dataset | Source Cooperative
Open Cities AI Challenge Dataset
This dataset was developed as part of a challenge to segment building footprints from aerial imagery. The goal of the challenge was to accelerate the development of more accurate, relevant, and usable open-source AI models to support mapping for disaster risk management in African cities. Read more about the challenge here: https://www.drivendata.org/competitions/60/building-segmentation-disaster-resilience/. The data consists of drone imagery from 10 different cities and regions across Africa