Hub
WorkflowWorkflow

Semantic Segmentation with Deep Learning in KNIME

Deep learning Image processing Image analysis Computer vision Unet
+8

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
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.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.2 Note: Not all extensions may be displayed.
  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.2

  • KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Deep Learning - TensorFlow Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Image Processing Trusted extension

    University of Konstanz / KNIME

    Version 1.8.1

  • KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.1

Discussion