Abdurahman AL Furjani
This talk is generally about the utility of open street level imagery in local development, with a focus on environmental issues, namely Municipal Solid Waste (MSW)
Initially, the work will focus on preparing a demo research model for the use case of Municipal Solid Waste MSW Detection With Machin Learning using Street-Level imagery open data collected by OpenStreetMap Libya contributors and Kartaview volunteer teams.
OpenStreetMap is a fairly young and rapidly growing community, in both numbers and awareness, the community is motivated and passionate about mapping, truly diverse and innovative.
being a driven and competitive community, OpenStreetMap Libya have mapped most of Libya, and captured thousands of kilometres of street level imagery, making it to top ten contributors.
in this talk we tell the story of how the OpenStreetMap Libya community formed, the motivations, the contributions, the challenges, and the road ahead.