Product description

This package contains 10 neural style transfer networks trained on landmark works of famous Dutch painters and artists. These networks allow you to apply the style from these painters onto your own media (images, video or even interactive application).. Included in the package are styles from the following painters:

  • Frans Hals (Portrait painting)
  • Jan Steen (Portrait painting)
  • Johannes Vermeer (Portrait painting)
  • Vincent van Gogh (Portrait panting)
  • Rembrandt Harmenszoon van Rijn (Portrait painting)
  • Rembrandt Harmenszoon van Rijn (Portrait sketch)
  • Hieronymus Bosch (General painting)
  • Piet Mondrian (DeSryle / General painting)
  • Mauriits Cornelis Escher (Pencil drawing)
  • Willem de Kooning (General abstract painting)

Models are relatively lightweight and can be applied to all sorts of devices.

The models are deliverable in these supported neural network formats*

*In your order please use the additional field to indicate which neural network format you would prefer

What is included in the Dutch Painters Neural Style networks bundle?

      • The model in the network framework format of your choice (see above)
      • 10 NeuralStyleTransfer networks  of famous Dutch painters in ONNX format
      • An inference script in Python using ONNXRuntime our recommended ONNX inference framework
      • C# code for using our Model using  ONNXRuntime
      • C++ code for using our Model using ONNXRuntime


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