12-05, 14:30–15:00 (America/Belem), Room IV
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. However currently focused on buildings only .
The name fAIr is derived from the following terms:
f: for freedom and free and open-source software
AI: for Artificial Intelligence
r: for resilience and our responsibility for our communities and the role we play within humanitarian mapping
In this talk we will talk about the recent developments in fAIr , Our experiment with Yolo model and RAMP model for community mapping and couple of test results . fAIr recently made public version deployment : https://fair.hotosm.org/
Emilio (Emi) has 20+ years of experience working on software design & development. He is currently serving as Senior Technical Product Owner @ HOT.
He worked in the private sector for a long time, designing and coding user interfaces and then software for the health care industry. He also worked with geospatial data, body movement analysis using AI tools, and both creating and implementing free software tools.
Emi is a volunteer firefighter in a rural town in Argentina, where he works mostly on wildfires, forest protection, wildland rescue and mapping.
Languages: Spanish, English, JavaScript, Python, C++.