Lecture 10: Image Data Processing (Part II)

(Last updated: Feb 24, 2026)

This lecture gives a tutorial about image data processing using a Jupyter Notebook. The learning goals can be found on this link.

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Preparation

Do the preparation for the image data processing module.

Lecture

Below are the links to the online notebooks:

To run the notebook, you need to follow the instructions at the beginning of the notebook to set up your Google Colab. The Computer Vision tasks in the notebook consume a lot of computational resources. Unless you have a good Nvidia GPU with cuda installed, we recommend just using the free GPU computing unit in Google Colab to run the notebook.

Additional Resources

Check PyTorch website and the UvA deep learning tutorials for more information.

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