Anna Zanchetta
A maps passionate currently employed as a Research Fellow at the Alan Turing Institute, in London, in the Urban Analytics team. As part of this role, Anna has carried out academic research to investigate the accuracy of a computer vision tool developed by HOT (Humanitarian OpenStreetMap Team) to map buildings from satellite imagery, and is currently working on this topic in collaboration with HeiGit (Heidelberg Institute for Geoinformation Technology, Germany).
Sessions
fAIr is an open AI-assisted mapping tool developed by HOT, the Humanitarian OpenStreetMap Team. Recently a new machine learning algorithm was added and OSM users can experiment with mapping buildings around the globe. How well does fAIr work and has the new addition improved this?
With MapTCHA we explore if the validation of computationally generated predictions of map features could serve as an image based CAPTCHA to map new OSM objects. Following an earlier proof-of-concept at FOSDEM 2025, here we provide a development update.