For this project I need to collect images of existing bus stops in order to generate new designs. The new designs that the model comes up with will be determined by the types of bus stops that I use in my training data. I’m interested to see how the outcomes changes based on the different types of images I include and would like to play around with different datasets.
I searched for the following terms in Google and was able to download approximately 1,000 images to my dataset:
A sample of the images in my dataset
“art bus shelter”
“bus shelter”
“bus stop”
“modern bus stop”
“soviet bus stop”
I spoke with my professors Ayo, Nakita and Yining about the best methods and heard from all of them that using a GAN (Generative adversarial network) would be the best approach. I talked to a classmate, YG, who had recently used a GAN for a project and he pointed me towards stylegan.
My next steps will be to collect more images, clean them, and try to run them through sytlegan!