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Alexander Taylor
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London-based artist & creative technologist.
Personal projects collated here - for a portfolio of professional work please get in touch.
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✉ a@alexandertaylor.org
2% Of Spaces You Could Possibly Encounter
2019 AI/ML Installations Physical Computing Games'2% Of Spaces You Could Possibly Encounter' uses machine learning to classify a scene in real-time as visitors modify the layout of the space. Using MIT's Places database of 10 million images, a live feed is taken from the camera, ran through a neural network trained on the dataset, then filed into one of 365 spacial categories, ranging from amusement parks to operating theatres
Above header photo by Daisy Imogen Buckle.
![](https://www.alexandertaylor.org/img/98/img1.jpg)
Responding to the claim that the Places dataset can account for 98% of spaces a user could possibly encounter, visitors are encouraged to interact with the camera feed in order to reveal the quirks, blind-spots and biases that can be found within the dataset. Results of the current classification are announced via a text-to-speech system and can also be seen on a computer monitor contained within the space.
This project draws from ongoing research into datasets; who compiles them, how they are compiled, and what they are (and can potentially be) used for.
![](https://www.alexandertaylor.org/img/98/cns.jpg)
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