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.
Workflow
Semantic Segmentation with Deep Learning in KNIME
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 4.5.2
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.5.2
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.5.2
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.5.0
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.5.0
- Go to item
University of Konstanz / KNIME
Version 1.8.3
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.5.0
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.5.2
Legal
By using or downloading the workflow, you agree to our terms and conditions.