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UID:pretalx-foss4g-2024-GLWKFA@talks.staging.osgeo.org
DTSTART;TZID=-03:20241205T140000
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DESCRIPTION:At  the Humanitarian OpenStreetMap Team (HOT)\, we are working 
 on a group of free and open source tools for community creation of maps. F
 ollowing a process that involves aerial imagery gathering with UAVs\, remo
 te volunteer mapping\, community in-the-field data collection\, AI assiste
 d remote sensing\, and finally\, downloading and using the map in disaster
 s and humanitarian work. This is an end-to-end (E2E) solution that benefit
 s everyone\, from a small community to a big organization. We want to tell
  the story about how we’re creating and using these tools and what could
  be the future of humanitarian and disaster mapping from an open tech and 
 data perspective. \n\nWe hope that you leave this talk inspired and excite
 d about becoming part of the end to end mapping journey!
DTSTAMP:20260516T090904Z
LOCATION:Room I
SUMMARY:End To End Tech for Humanitarian Response and Disaster Relief - Emi
 lio Mariscal
URL:https://talks.staging.osgeo.org/foss4g-2024/talk/GLWKFA/
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UID:pretalx-foss4g-2024-PU8PKE@talks.staging.osgeo.org
DTSTART;TZID=-03:20241205T143000
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DESCRIPTION:fAIr is an open AI-assisted mapping service developed by the Hu
 manitarian OpenStreetMap Team (HOT) that aims to improve the efficiency an
 d accuracy of mapping efforts for humanitarian purposes. The service uses 
 AI models\, specifically computer vision techniques\, to detect objects su
 ch as buildings\, roads\, waterways\, and trees from satellite and UAV ima
 gery. However currently focused on buildings only . \n\nThe name fAIr is d
 erived from the following terms:\n\n    f: for freedom and free and open-s
 ource software\n    AI: for Artificial Intelligence\n    r: for resilience
  and our responsibility for our communities and the role we play within hu
 manitarian mapping\n\nIn this talk we will talk about the recent developme
 nts in fAIr \, Our experiment with Yolo model and RAMP model for community
  mapping and couple of test results . fAIr recently made public version de
 ployment : https://fair.hotosm.org/
DTSTAMP:20260516T090904Z
LOCATION:Room IV
SUMMARY:State of fAIr: Free and Open Source AI-assisted Mapping for Humanit
 arian - Emilio Mariscal
URL:https://talks.staging.osgeo.org/foss4g-2024/talk/PU8PKE/
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