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ElliotSalisbury/Tanzania_Building_Footprint_Challenge

Domaine:

geospatial

Type de record:

dataset
Créateur:
Ell
Hôte:
Open AI Tanzania — is a partnership with our friends at the State University of Zanzibar (SUZA), WeRobotics, World Bank, OpenAerialMap and Tanzania Flying Labs. Open AI Tanzania invites data scientists to develop feature detection algorithms that can automatically identify buildings and building types using high-resolution aerial imagery collected by Tanzanian drone pilots through the Zanzibar Mapping Initiative (ZMI). The goal of this challenge is to correctly segment and classify building footprints under various stages of construction.

Visit

github.com

Tasks

computer visionimage classification

Languages

Swahili, Coastal