Parachute 1.423% – SOLD

Joanne Hastie original
Acrylic on Paper
9 x 15" (13" x 19" frame)


This purple and turquoise geometric abstract painting on paper was created as part of my Machine Learning Abstract paintings. I use Python and TensorFlow software to generate and classify compositions that I then paint by hand with acrylic paint. It was interesting for me to see how the digital process transferred to painting. After painting this geometric abstract by hand and not intending it to represent an object. I loaded the image into an artificial intelligence algorithm I use to title the painting (I am using TensorFlow Image Classifier). Below is the output from the algorithm, of all the potential objects the painting could represent, I selected 'Parachute' as the title, the confidence score is the probability from the algorithm that it could be that object.

Inception v-3 results:
Band Aid (score = 0.43154)
envelope (score = 0.21670)
web site, website, internet site, site (score = 0.06650)
parachute, chute (score = 0.01423)
mouse, computer mouse (score = 0.01236)


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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