All visual elements on city walls are transient.
Walls of Shoreditch recognises the importance of capturing this rapidly changing urban environment and its fleeting narratives before they are lost.
It constructs a visual identity of Shoreditch through 88,000+ archived wall objects from Google Street View over the past decade, retrived by a computer vision model.
This digital archive aims to remember, value, and preserve all the works created by those who have communicated through the medium of a wall.
The subjective data collection empowers users to curate narratives, with contributions making the archive evolve, thus investigating authorship, bias and subjectivity.
Walls of Shoreditch recognises the importance of capturing this rapidly changing urban environment and its fleeting narratives before they are lost.
It constructs a visual identity of Shoreditch through 88,000+ archived wall objects from Google Street View over the past decade, retrived by a computer vision model.
This digital archive aims to remember, value, and preserve all the works created by those who have communicated through the medium of a wall.
The subjective data collection empowers users to curate narratives, with contributions making the archive evolve, thus investigating authorship, bias and subjectivity.
1: A curated personal collection, showcasing the user-driven narrative capabilities of the platform.
2: Detailed view of a specific wall element, demonstrating the depth of metadata available for each object.
3: An example of the view of the archive when scrolling down the page.
4: A guidethrough one of the last prototypes.
How was it made?
If you'd like to know more details about the process, watch the video.
What's in the archive?
In analysing the street, I had to first identify what to take from it. Thus, there were several discussions regarding what and how to categorise the elements of a wall. This was the starting point of my criteria and curatorial voice, that started shaping the data within three overarching categories.
For each element, I established which type of data I would delve into in detail, such as location, timestamp, dimensions, and any relevant contextual information.
Audience
Who is this project for?
The project has different targets and features.
It is aimed at a niche of people and/or organisations interested in one or more of the following:
And moreover in a niche of people interested in: Graffiti, Street Art, Data Visualization and Information design
It is aimed at a niche of people and/or organisations interested in one or more of the following:
“Live” Guidebook for Shoreditch’s Walls
- Tourists
The tourist can create his own curatorial collection, i.e. 10 graffiti, 3 shop signs, 6 artworks. At this point, the user will have a collection of objects around Shoreditch, and a personalised itinerary will be generated (using the coordinates of each object) to explore the area of Shoreditch, interact with the archive while in the streets and promote the user to add contributions. Almost replacing a guided tour of the area, which is something quite popular in the area.
- Locals
By rediscovering your own neighbourhood and getting to know what surrounds you, they might know who made the different elements in the archive, thus contributing to the archive and are more intimate with the area.
- Londoners
Niche of people emotionally attached to the city, who appreciate the various different areas of London. They have witnessed its evolution and are curious about its growth and changes over time.
Institutional
- Local Governmental Entities
Identify the distinction between commercial and “unauthorised” (art) visual elements on walls
Connecting with the local community, which expresses its thoughts on walls: e.g. political conflicts, housing issues etc.
- Museums
Organisations like “Museum of London” that are interested in archiving and preserving cultural heritage
Commercial
- Agencies and Companies
Having the power to analyze, in any geographical area:
• Identify its change through time
• Identify the various targets of past advertising, marketing and branding campaigns
• Analyze the target of what the walls say by using Optical Character Recognition (OCR)
• For Talent Leads to scout artists and designers to hire
And moreover in a niche of people interested in: Graffiti, Street Art, Data Visualization and Information design
The project was put together from scratch in just two months.
It started in April and was delivered to complete my Bachelor's degree in June.
It was presented at Central Saint Martins during the Graduate Show, along with the rest of the installation, there was a large white MDF piece on which the audience could leave their mark, thus making the exhibition more engaging.
Publication
Handmade A4 Publication
The other outcome of the project was a handmade, Swiss-bound, hand-stitched publication I made, with roughly 18,000 words, with chapters related to WOS with critical and theoretical analysis.
97 examples of elements found in the archive
This is just 0.1102% of the archive, 97 elements to be precise.
Well, now check it out*
wallsofshoreditch.com
Alpha to be officialy released in September 2024
*Now site is live for dev and user testing
wallsofshoreditch.com
Alpha to be officialy released in September 2024
*Now site is live for dev and user testing