Street Sign, 18.138%
Street Sign, confidence 18.138%
Joanne Hastie 2020 original
Acrylic on paper
11" x 14"
I use code to generate images and then classify them into categories. I then paint some of my favorite compositions by hand. In this series of 3 paintings I curated the set based on a common category: street signs. The confidence score is how confident the classifier is that this is the object.
Painting no. 165$80.00
Painting no. 206$80.00
Street Sign, 2.306%$200.00
Street Sign, 2.926%$200.00
Street Sign, 18.138%$200.00
Still Life, no. 43$280.00 – $350.00
Varley Trail no. 09$350.00
Varley Trail no. 11$350.00
GAN Cityscape (no. 01)$900.00
ABOUT THE PROJECT:
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.