SoftwareApplication
name: Data and code underlying the PhD thesis: Pixels · People · Places: Computer Vision and Image Embeddings for Perception-Aware Urban Analytics
description: Data and code underlying the PhD thesis: Pixels · People · Places: Computer Vision and Image Embeddings for Perception-Aware Urban Analytics
description: This repository contains: Scripts for collecting different layers of urban data systematically (Land Uses, Point of Interests, Street Networks, Panoids (Google Street View)Scripts for performing different urban and Image analysis: Object Detection, Spatial Aggregation, Regressions, (spatial) Correlations, Embeddings generation, among others.Post-processed data required for the analysis conducted in the studiesFor more info, check out the README file in the repository. The codes were used to conduct different studies at Delft University of Technology, as part of Francisco Garrido-Valenzuela's PhD Thesis project (2021-2025).
code repository: https://data.4tu.nl/v3/datasets/1a07a954-e1c9-41e1-89ad-04e7420db7d7.git
author: https://orcid.org/0000-0003-0172-8266
keywords: urban images
keywords: multi-dimensional space
keywords: computer vision
keywords: AI techniques
programming language: JSON
programming language: Jupyter Notebook
programming language: Markdown
programming language: Other
programming language: Python
programming language: large-text-file
license:
  creative work: creativeWork
    name: CC-BY-NC-SA-4.0

https://orcid.org/0000-0003-0172-8266
type: Person
given name: Francisco
family name: Garrido Valenzuela
name: Francisco Garrido Valenzuela