At the recent #neurips4creativity panel someone asked what areas of machine learning were recommend for newcomers, and I suggested exploring atypical algos such as image segmentation and how they might be repurposed.

let me explain further with using some of my students' work.👇

@jeremyjordan

Semantic Image Segmentation is arguably one of the more mundane success stories of modern computer vision. The task is to label each pixel with a label - @jeremyjordan provides a good overview if you are unfamiliar: jeremyjordan.me/semantic-segme…

@vicuniwgtn

This past year I introduced it to my @vicuniwgtn design 2nd year undergraduates as part of a digital photography assignment. It seemed completely natural to students that (of course!) images can be decomposed into not only Red, Green, and Blue but also imperfect semantic labels.

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