TRIED: Truly Innovative and Effective AI Detection Benchmark
a new framework for evaluating detection tools based on their real-world impact and capacity for innovation
Johannesburg, South Africa
2025
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
- Country
- United States of America 🇺🇸
- Founded
- 2023
- Language(s)
- English
- Tech stack
- BuiltWith report →
- Categories
- Peer-reviewed research, Satellites, Urban planning
- Added
- 2023-03-29
- Last modified
- 2026-09-10T13:25:50.000Z
Additional details
- Formats
- place-based
- Number of integrations
- 0
- Activity status
- Inactive
- Sustainable Development Goals
- 3. Good health and well-being
- Issues addressed
- streetscape
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