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  • Malaria Image Classification using Transfer Learning (VGG16)
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Malaria Image Classification using Transfer Learning (VGG16)

Image classification Computer vision Vgg16 Imagenet Transfer learning
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The workflow focuses on using KNIME in order to employ transfer learning methods (VGG16 with imagenet weights) to do image classification on a Malaria dataset. All links for datasets are placed inside the workflows/components and can be accessed through there. Please download the dataset on your own as due to size constraints, it cannot be included with the uploaded workflow. Special thanks to Anson's Github for helping me along. Link: https://github.com/ansonnn07/image-classification

Used extensions & nodes

Created with KNIME Analytics Platform version 4.4.2
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

    knime
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    KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.1

    knime
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    KNIME Image Processing Trusted extension

    University of Konstanz / KNIME

    Version 1.8.3

    bioml-konstanz
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

    knime
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