Episode 6, Exercise 1 proposal: instance segmentation, semantic segmentation or object detection?

[marcodallavecchia]

This PR implements the exercise proposed in #15.

Briefly, I introduced 5 different scenarios that deal with images and some objects for a variety of goals. The students can individually or in small groups discuss and choose which approach between instance segmentation, semantic segmentation or object detection would be the best fit for the described scenario.

Remarks

• I tried to keep it general and not bio-image specific as I thought it might be easier to develop an understanding with examples closer to a day-to-day experience.
• I first tried to go through the image already present in the episodes/fig folder to keep the amount of new images to the minimum, but I still chose to introduce a couple of new ones with CC0 license.
• I places this challenge at the top of the corresponding episode for now as all the main text already present introduces and focuses only on segmentation (via threshold etc..). I assume it could be moved where more appropriate later on if needed.
• To keep consistency with the upstream original image-processing curriculum, I also integrated the small definition of segmentation introduced recently in this PR

[github-actions]

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⏱️ Updated at 2026-05-29 12:09:40 +0000