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https://www.sciencedirect.com/science/article/pii/S0198971523000133?via%3Dihub

Tile2Net

"an end-to-end open-source framework for creating georeferenced pedestrian networks from aerial imagery"

Active
Since 2023
USA
Open source: Yes

""[T[he first open-source scene classification model for pedestrian infrastructure from sub-meter resolution aerial tiles" — or, in layman's terms, the first free tool that uses machine learning technology to scan satellite imagery for the presence of sidewalks and crosswalks." - Streetsblog Paper by Maryam Hosseini, Andres Sevtsuk, Fabio Miranda, Roberto M. Cesar Jr, and Claudio T. Silva.

Resources

Project type
Tool or platform
Founded
2023
Language(s)
English
Added
2023-03-29
Last modified
2026-07-12T16:44:35.000Z

Additional details

Formats
place-based
Number of integrations
0
Sustainable Development Goals
3. Good health and well-being
Issues addressed
streetscape

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