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Urban_PointCloud_Processing
Urban_PointCloud_Processing PublicRepository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.
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1.5-meter-monitor
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 r…
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Geolocalization_of_Street_Objects
Geolocalization_of_Street_Objects PublicIn 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 sta…
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Urban_PointCloud_Analysis
Urban_PointCloud_Analysis PublicThis repository contains methods for the automatic extraction of urban street furniture from labeled PointClouds.
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Tree_Detection_in_Aerial_Point_Clouds
Tree_Detection_in_Aerial_Point_Clouds PublicData processing for urban tree detection in aerial 3D point clouds. Analyzing tree data in Amsterdam 🌳
Python 4
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Amsterdam-AI-Team/amsterdam-nl-website-scraper’s past year of commit activity - emissions-tracker Public
Some example code and readme with info for tracking the (carbon) emissions of our projects
Amsterdam-AI-Team/emissions-tracker’s past year of commit activity - amsterdam-rag-chatbot-system Public
Amsterdam-AI-Team/amsterdam-rag-chatbot-system’s past year of commit activity - Woo-document-analysis Public
Amsterdam-AI-Team/Woo-document-analysis’s past year of commit activity - gen-ai-pilot-prompt-analysis Public
Amsterdam-AI-Team/gen-ai-pilot-prompt-analysis’s past year of commit activity - Accessible_Route_Planning Public
Repository to create an accessible network and plan routes given a set of user preferences.
Amsterdam-AI-Team/Accessible_Route_Planning’s past year of commit activity - llm-comparison Public
The 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.
Amsterdam-AI-Team/llm-comparison’s past year of commit activity