"Envelope" (confidence = 93.000%)
Original abstract painting by Joanne Hastie
11" x 14"
acrylic on archival paper
signed on the back
After painting this abstract by hand, I loaded the image into TensorFlow Image Classifier. Here is what the Machine Learning software classified the painting to be:
Inception v-3 results:
envelope (score = 0.93000)
web site, website, internet site, site (score = 0.01586)
binder, ring-binder (score = 0.00184)
book jacket, dust cover, dust jacket, dust wrapper (score = 0.00179)
Band Aid (score = 0.00163)
Available - contact Joanne to inquire about this painting
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.