Skip to content

LeadingIndiaAI/Mapping-Disaster-Risk-from-Aerial-Imagery

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 

Open AI Caribbean Challenge: Mapping Disaster Risk from Aerial Imagery

We, Team 6, participated in the Driven Data Competition, "Open AI Caribbean Challenge: Mapping Disaster Risk from Aerial Imagery" hosted by MathWorks. The Objective of the project was to come up with a method to extract the rooftops from the given GeoTIFF images and the rooftop co-ordinated within the GeoJSON files, and classify those images into five different classes [concrete_cement, healthy_metal, incomplete, irregular_metal, other].

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published