Amsterdam Intelligence
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21 repositories
- Repository to create an accessible network and plan routes given a set of user preferences.
llm-comparison
PublicThe AI Team of the City of Amsterdam is experimenting with generative AI to be able to give advice about the practical use of models within municipalities. This document shows the results of our initial LLM comparisons, with special focus on open-source alternatives. It is based on literature research and running tests on municipal use-cases.- This repository contains methods for the automatic extraction of urban street furniture from labeled PointClouds.
- Measuring sidewalk widths for Amsterdam using Urban Point Clouds and cadastral data.
pole_tagger
Public- Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.
- In this repository, an approach is implemented to automatically detect and geolocate public objects, solely based on public available panoramic images. The objects of interest are assumed to be stationary, compact and observable from several locations each. In this project the objects being detected are bicycle symbols. NOTE: Panorama API offline.
- Detect, segment and geolocate houseboats in Amsterdam using satellite images.
1.5-meter-monitor
PublicBecause of COVID19 measures have been taken to prevent person to person detection, one of the most influential and important new regulation is to keep 1.5 meters distance from each other. To help remind citizens to maintain this distance we have created the 1.5 meter monitor.