Episode 6, Exercise 1 Types of Segmentation

### Brief description
Students are prompted with a series of use-case scenarios and must choose the most appropriate segmentation types. This could be done via an interactive poll (such as [Menti](https://www.menti.com/) or [Kahoot](https://kahoot.com/)).

To make things more _gamified_, we could divide students in small groups with one or more scenarios (digitally or physically printed and distributed), and they must discuss and present their conclusion. This is similar to the [Coloc game](https://focalplane.biologists.com/2024/10/20/teaching-co-localisation-analysis-from-lecture-to-leisure/) developed at EPFL.

**An example**
> You are an analyst in charge of analyzing security camera footage and you need to estimate the number of people in the frame at any given time.
Which approach would you suggest and why?

### Learning objective(s)
This approach would allow students to discuss between them and with the instructors and establish clearly the rationale behind the different types of segmentation approach driven by the **goal of the analysis**.

Learning objective: [Types of segmentation](https://github.com/carpentries-incubator/bioimage-analysis-python/wiki/Learning-Objectives#types-of-segmentation)

### Volunteer(s)
@marcodallavecchia