Hub
Pricing About
WorkflowWorkflow

01_caption_preprocessing

Image processingImage analysisImage captioningDeep learningNeural networks
+3
davek profile image
Draft Latest edits on 
Jul 11, 2017 4:00 PM
Drag & drop
Like
Download workflow
Workflow preview
In this workflow we create image feature vectors for each image in the training data using a pretrained InceptionV3 (https://arxiv.org/abs/1512.00567) model. These feature vectors will then be used in workflow 4. to train our caption network. This way we do not need to include a computationally expensive convolutional branch in our network architecture. As output, this workflow will write a table containing a feature vector for each image to the data folder.

External resources

  • InceptionV3 arXiv
  • Image Captioning
  • COCO 2014 Data Download
  • COCO Dataset Homepage
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.2
  • Go to item
    KNIME CoreTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.2

    knime
  • Go to item
    KNIME Deep Learning - Keras IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
  • Go to item
    KNIME ExpressionsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    knime
  • Go to item
    KNIME Image ProcessingTrusted extension

    University of Konstanz / KNIME

    Version 1.8.1

    bioml-konstanz

Legal

By using or downloading the workflow, you agree to our terms and conditions.

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits