Semantic Segmentation

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.

Semantic Segmentation

 

Resources

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

References:

 

 


* 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