I have several pictures from an Infraredcamera, that observes bubbles that occur during a boiling process. The area of interest are only the bubbles. The background/noise doesn't matter. I want to label these pictures and train a deep neural network to identifiy those bubbles. Therefore i labeled images in the Image Labeler App.
Example of unlabeled and labeled pictures:
I only labeled the bubbles and nothing else, so there is only the class "Bubbles". The problem that occurs now, is that the training networks don't accept one class, rather they need more than one. How can i solve this problem? Is there a possibility to automatically label every unlabeled pixel and issign the class "Background" to them?