Animal Classifier, 2016, TensorFlow, Inception-v3, online images, 14 Raspberry PIs, 14 engraved metal plates, 14 glass domes and 14 monitors.

‘Animal Classifier’ is an AI trained to divide animals into the following 14 categories:

(a)belonging to the emperor,
(b)embalmed,
(c)tame,
(d)sucking pigs,
(e)sirens,
(f)fabulous,
(g)stray dogs,
(h)included in the present classification,
(i)frenzied,
(j)innumerable,
(k)drawn with a very fine camel hair brush,
(l)et cetera,
(m)having just broken the water pitcher,
(n)that from a long way off look like flies.

  • Animal Classifier (documentation video), 2016.



  • The taxonomy is from the essay ‘The Analytical Language of John Wilkins’ by Jorge Luis Borges where he discusses arbitrarities of John Wilkins and writes “it is clear that there is no classification of the Universe not being arbitrary and full of conjectures. The reason for this is very simple: we do not know what thing the universe is.” It is referred as another example of faulty human schemes.

    Most of the current AI systems are basically classifiers, and they learn and work based on the classifications provided by humans, thus inevitably imperfect.


  • Animal Classifier, 2016.

  • Animal Classifier, 2016.

  • Animal Classifier, 2016.

  • Animal Classifier, 2016.

  • Animal Classifier, 2016.

  • Animal Classifier, 2016.

Image source used for the classification:
Flickr photos licensed under the terms of Creative Commons by 2.0.
List of the copyright holders: link