This project has been put to rest.
https://ai.facebook.com/blog/mapping-the-world-to-help-aid-workers-with-weakly-semi-supervised-learning/
Facebook AI mapping for humanitarian aid and development
Building on our previous publication of similar high-resolution population maps for 22 countries, we're now releasing new maps of the majority of the African continent, and the project will eventually map nearly the whole world’s population. Using weakly- and semi-supervised learning.
Palo Alto
Evidence of this project's impact
In 2016 and 2017, 3,000 Red Cross volunteers in Malawi visited roughly 100,000 houses in just three days to educate people about measles and rubella vaccines. (Source) — 2019-10
Resources
- Project type
- Resource
- Country
- United States of America 🇺🇸
- Language(s)
- English
- Tech stack
- BuiltWith report →
- Categories
- Artificial Intelligence (AI), Civic data, Data visualization, Emerging tech, Graveyard, Hardware, Information & Communication Tech for Development (ICT4D), Machine learning, Mapping, Satellites, The Tech
- Tags
- Added
- 2021-06-22
- Last modified
- 2026-04-19T15:39:50.000Z
Additional details
- Platforms
- Number of integrations
- 0
- Metrics of success
- In 2016 and 2017, 3,000 Red Cross volunteers in Malawi visited roughly 100,000 houses in just three days to educate people about measles and rubella vaccines.