INACITY is a platform to collect and analyse urban images, that integrates Application Programming Interfaces (APIs), image retrieval systems, Geographical Information Systems (GISes), digital maps and Computer Vision techniques.

It was created during Artur André Oliveira master's program at IME-USP and advised by Roberto Hirata Jr.

You can download the master's thesis (in portuguese) with deeper analyses about the greenery image filters and also the groundtruth used to estimate the filter's parameters and to compare their performance.

The project source code can be found at INACITY's Github repository.

Acknowledgements

We would like to thank people that helped in multiple ways to achieve some of the INACITY crucial features:

Vinicius Q. Massimino

For his contributions translating INACITY's webpage to both the spanish and french languages and annotating part of the images that compose the INACITY's greenery dataset.

Artur Fernando A. M. Oliveira
(Nando)

For his contributions to fixing INACITY's bugs, helping with the documentation, creating the first prototypes of the administration panel and also annotating part of the images that compose the INACITY's greenery dataset.

Rodrigo Alves Lima

For his base work API de navegação no Google Street View e análise de imagens da paisagem urbana.

Wallace Faveron de Almeida

For his base work API de navegação no Google Street View e análise de imagens da paisagem urbana.