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street_swipe [2019/12/18 15:26]
waag
street_swipe [2019/12/18 15:31] (current)
waag
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-==== About : Aesthetics of Exclusion ​ ====+===== StreetSwipe ​ =====
  
-  +Which aesthetics do we associate with gentrification
-Aesthetics of Exclusion is a design research project that uses computer vision techniques and machine learning to explore and analyse aesthetical styles that relate to gentrification ​and processes of (urban) homogenization through large image archives such as (Google) StreetView and Instagram.+
  
-It studies ​the visual signals and patterns ​of gentrification:​ an urban phenomenon that entails ​decrease ​of diversity in classesethnicitiesraces, sexualities,​ languages, and points of view from central city neighbourhoods;​ and their replacement by more affluent and homogeneous groups. While a lot of research has focused ​on the socio-economic causes and effects of this process, we view gentrification also cultural phenomenon: its aesthetics are not only reflection //of//, but a central component //in// these sort of processes+[[http://​streetswipe.aestheticsofexclusion.com/​|StreetSwipe]] let’s ​the audience determine if they think a photo of a storefront ​of bar should be classified as ‘gentrified’. While swipingdifferent citiesstreetsyears and neighborhoods will be compared ​on a live webpage that functions as scoreboard
  
- +The subjective input of different groups of users will be used to train different computer models that can recognize ​and, using so-called Generative Adverserial Networks (GAN’s)generate images that are perceived as gentrified ​and non-gentrifiedThe dataset as presented ​in this Wiki-entry ​is compiled out of StreetView ​images of several Amsterdam streets and is used to present to users in the web-version ​of StreetSwipe.net.
-Machine learning and computation present new opportunities ​to research ‘the visual’ on a large scale and make it possible to questionexplore, and possibly even disrupt the homogenization of the urban fabricAs these processes relate and interact with homogenization ​in the digital realm, these new research techniques are not only a means to an end, but also an object of study itself.  +
- +
-In this Wiki-entry ​we will share a tool that automatically saves a screenshot that has been made in Google Streetview under the GPS code of the location and share a dataset ​of images of the facades ​of bars/​shops/​etc. Both have been developed for the project ​StreetSwipe. ​ +
- +
-==== StreetSwipe ​ ====+
  
 // //
 {{vimeo>​371896337?​large}} {{vimeo>​371896337?​large}}
 // //
- 
-Which aesthetics do we associate with gentrification?​ StreetSwipe let’s the audience determine if they think a photo of a storefront of bar should be classified as ‘gentrified’. While swiping, different cities, streets, years and neighborhoods will be compared on a live webpage that functions as a scoreboard. ​ 
- 
-The subjective input of different groups of users will be used to train different computer models that can recognize and, using so-called Generative Adverserial Networks (GAN’s), generate images that are perceived as gentrified and non-gentrified. The dataset as presented in this Wiki-entry is compiled out of StreetView images of several Amsterdam streets and is used to present to users in the web-version of StreetSwipe.net. 
  
 ‘StreetSwipe’ relates directly to similar research where StreetView images were used together with computer vision to classify if a street was perceived as safe or unsafe. In similar projects, it often remains obscure how the computational models are trained: who gets to decide what is perceived as safe and how is this idea projected as neutral and objective into the future? With this, computation does not merely govern our actions in the present, but constructs a future that best fits its parameters [1]. ‘StreetSwipe’ relates directly to similar research where StreetView images were used together with computer vision to classify if a street was perceived as safe or unsafe. In similar projects, it often remains obscure how the computational models are trained: who gets to decide what is perceived as safe and how is this idea projected as neutral and objective into the future? With this, computation does not merely govern our actions in the present, but constructs a future that best fits its parameters [1].
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 A first version of StreetSwipe is already developed and functioning. However the coming year new functionalities will be added, more data will be acquired and different communities will be asked to participate in the project. A first version of StreetSwipe is already developed and functioning. However the coming year new functionalities will be added, more data will be acquired and different communities will be asked to participate in the project.
  
 +
 +==== About : Aesthetics of Exclusion ​ ====
 +
 + 
 +Aesthetics of Exclusion is a design research project that uses computer vision techniques and machine learning to explore and analyse aesthetical styles that relate to gentrification and processes of (urban) homogenization through large image archives such as (Google) StreetView and Instagram.
 +
 +It studies the visual signals and patterns of gentrification:​ an urban phenomenon that entails a decrease of diversity in classes, ethnicities,​ races, sexualities,​ languages, and points of view from central city neighbourhoods;​ and their replacement by more affluent and homogeneous groups. While a lot of research has focused on the socio-economic causes and effects of this process, we view gentrification also a cultural phenomenon: its aesthetics are not only a reflection //of//, but a central component //in// these sort of processes. ​
 +
 +
 +Machine learning and computation present new opportunities to research ‘the visual’ on a large scale and make it possible to question, explore, and possibly even disrupt the homogenization of the urban fabric. As these processes relate and interact with homogenization in the digital realm, these new research techniques are not only a means to an end, but also an object of study itself. ​
 +
 +In this Wiki-entry we will share a tool that automatically saves a screenshot that has been made in Google Streetview under the GPS code of the location and share a dataset of images of the facades of bars/​shops/​etc. Both have been developed for the project StreetSwipe. ​
  
 // //
-// **Author** : Sjoerd ter Borg - Aesthetics of Exclusion —— ​[[https://​waag.org/​en/​article/​aesthetics-exclusion|Web]]+// **Author : Sjoerd ter Borg -  [[https://​waag.org/​en/​article/​aesthetics-exclusion|Aesthetics of Exclusion]]**
  
  
  • street_swipe.txt
  • Last modified: 2019/12/18 15:31
  • by waag