# Shelter tents mapping by machine learning and satellite imagery

- Institution: CERN
- Department: CERN openlab Summer Student Programme 2023
- Speaker: Hsiu-Chi Cheng
- Year: 2023
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3003328)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

In order to provide urgent and life-saving resources to forcibly displaced people, spontaneous measurement of the number is essential. Instead of directly measuring this number, a popular approach is to estimate the number of shelter tents by satellite imagery. However, traditionally it has to be done by manual labeling, which is labor- and time-consuming. In this project, we propose a solution: using machine learning techniques and satellite imagery to evaluate the number of shelter tents..

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## Lectures

1. [Shelter tents mapping by machine learning and satellite imagery](https://invisiblenetwork.ai/learn/cern/3003328/40f3b0b5c537), 10 min (CERN's player)