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.
EXAMPLES Server: 04_Analytics/14_Deep_Learning/02_Keras/06_Semantic_Segmentation04_Analytics/14_Deep_Learning/02_Keras/06_Semantic_Segmentation*
Download a zip-archive
* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually