I am currently developing a teaching resources for some students in Year 9/10 at a government school in Victoria, Australia.
We have two Jetbots using the Jetson Nano and I would like to create a unit of work that challenges students to recognise the fundamentals of image processing using AI & Machine Learning.
One activity that I’m trying to get off the ground is a way to visualise explanations of image data, similar to what Google have don with this tutorial: https://cloud.google.com/ai-platform/prediction/docs/ai-explanations/visualizing-explanations
Is there a way to add an overlay on an image, in addition to the classification, that shows pixels/regions that had a large weighted contribution to the prediction?
We are using Jupyter Notebooks and Python, if that helps.
Thanks for your help!