Generation of microbial colonies dataset with deep learning style transfer. (arXiv:2111.03789v2 [cs.CV] UPDATED)

We introduce an effective strategy to generate an annotated synthetic dataset
of microbiological images of Petri dishes that can be used to train deep
learning models in a fully supervised fashion. The developed generator employs
traditional computer vision algorithms together with a neural style transfer
method for data augmentation. We show that the method is able to synthesize a
dataset of realistic looking images that can be used to train a neural network
model capable of localising, segmenting, and classifying …

arxiv cv dataset deep learning learning style transfer