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Building Part 1 is complete with retirement=2 !!!! Building Part 2 is paused and under re-organization. Building Part 2 - Simplified is done with retirement=1! Now the second round is online. Please go to TALK/Announcements to check planned changes, your opinions are important!
Building Recognition using AI at Large-Scale For Natural Hazards Engineering
Learn moreIn the workflow, you will help identify buildings and their components, such as windows, doors, etc, from street view images.
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Message from the researcher
Natural disasters pose significant destructive impacts to society, from damaging buildings, endangering lives to economic loss. With your help, we can train deep learning models to help mitigate.
Building Detective For Disaster PreparednessAbout Building Detective For Disaster Preparedness
The intensity of many natural hazards, such as hurricanes, floods, tornadoes, etc., are increasing as a consequence of climate change. This increase in intensity coupled with the increase in population density, particularly along the coasts, is only magnifying the impact of such events. In order to quantify and mitigate the risk due to the hazards and to prepare for the potential impacts in a region, it is necessary to collect the information of existing buildings that are pertinent to natural hazard analysis and risk management. In this project, a deep learning technique trained on the images you label will be employed to extract building information from street view and satellite images in many regions. The extracted information will be used for analyzing the risk of buildings under natural hazards, which will guide pre-disaster preparedness and mitigate the impacts.
