Applied Data Science — Image Segmentation — Part III of IV

For March, we'll be working on automatically separating an image into a set of distinct objects that appear in it, with no prior knowledge of how many objects are in the image, or what shapes, textures, or colors they might have.

(We won't be trying to identify or name any objects in the image, just the easier problem of where each individual object sits.)

Participants will work together in small groups, brainstorming ideas and
building automated semgentations to compare with "ground truths" that people have annotated by hand.

Everyone from beginners to experts is welcome. As always, our three
objectives are:

1. Provide skill-level-appropriate challenges to all participants.

2. Participants work with and learn from one another.

3. Those who attend all four Sundays finish a project they can add to their github/resume/portfolio.

Bring your favorite data analysis software! We're language-agnostic.

If you don't already have a favorite analysis tool, here are a few
suggestions: http://goo.gl/W8Q6cV