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.

External resources

• U-Net paper
• Dataset website