Anna Zanchetta
Anna has a background in Physics of the Atmosphere and Remote sensing, with applications to environmental studies (water management and desertification), spatial inequalities and sustainable transport. Currently based in the UK, working on ML for buildings footprints detection in collaboration with HOT (Humanitarian Openstreetmap Team). She is interested in anything maps and open source.
Sessions
fAIr is an open AI-assisted mapping service developed by the Humanitarian OpenStreetMap Team (HOT) that aims to improve the efficiency and accuracy of mapping efforts for humanitarian purposes. The service uses AI models, specifically computer vision techniques, to detect objects such as buildings, roads, waterways, and trees from satellite and UAV imagery.
The name fAIr is derived from the following terms:
F for freedom and free and open-source software. AI for Artificial Intelligence. R for for resilience and our responsibility for our communities and the role we play within humanitarian mapping.
The talk will announce the production release of fAIr tool that is available for wider OSM communities, illustrate the academic background and showcase the research developed in recent months to assess how the accuracy of the training process performs, evaluating the accuracy metric currently used and comparing against different metrics scenarios.