Multimodal AI
Semantic segmentation
Labeling every part of a picture by type, without giving each individual object a separate identity.
Example
A picture is labeled as road, buildings, people and sky.
Why people use it
It helps software label different parts of a scene in detail.
What you'll hear
“Mark the road, sky and buildings.”
What this means for you
Decide whether you also need to distinguish each individual person or object.
Can you control it?
Developer-only
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Does semantic segmentation distinguish two adjacent people?
- Not necessarily. Separate object identities require instance-level information.
- Can the labels cover every pixel?
- Yes. That is the aim, although individual labels may still be wrong.
- Can a small object disappear in the result?
- Yes. Fine details or uncommon objects can be lost among larger regions.