Mountain Tent 1.1654%

"Mountain Tent" (confidence = 1.1654%)
Joanne Hastie original
Acrylic on Paper
22" x 28"

This bright yellow and pink abstract painting on paper was created as part of my Machine Learning Abstract paintings. I am painting abstract paintings by hand while using Python code and TensorFlow software to generate and classify the paintings. It was interesting for me to see how the digital process transferred to painting. After I finished this painting, I used the TensorFlow artificial intelligence classifier to suggest what this abstract painting could be. Of the 5 objects it suggested the image could be I title the paintingĀ  "Mountain Tent" as I could now imagine the sun setting behind a tent on a cliff's edge.

Inception v3 results:

envelope (confidence 37.373734%)
dome (confidence 13.54784%)
umbrella (confidenceĀ  9.536939%)
planetarium (confidence 2.151513%)
mountain tent (confidence 1.1654002%)

Available - contact Joanne to inquire about this painting


I wrote Python code to collage and generate compositions of hand painted geometric shapes and then use an image classifier to rank the compositions based on my preferences.

Over time, I update the classifier as I hone my eye as to what looks good as a painting versus a digital thumbnail. After it is painted, I use an untrained classifier to title the painting. I get titles such as “Bulletproof Vest”, “Traffic Lights” and “Envelope”, because they are flat paintings (minimal depth) – most paintings are classified as “Envelope”. Can you see the objects in the painting?

This work has been featured in NeurIPS Online Gallery in 2018, at ‘Women in Data Science’ show in Zurich in 2018 and in RUSI Journal 2019.

To learn more about this project click below.


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