Semantic Segmentation with Deep Learning in KNIME

This workflow shows how the new KNIME Keras integration can be used to train and deploy a specialized deep neural network for semantic segmentation. This means that our network decides for each pixel in the input image, what class of object it belongs to.


This is a companion discussion topic for the original entry at https://kni.me/w/5tbaRGraY66TDsDV