Multimodal AI
Object detection
Finding objects in images and identifying their categories and locations.
Example
AI marks pedestrians in a picture with labeled rectangles.
Why people use it
It helps software locate particular things in a scene.
What you'll hear
“Mark where the pedestrians are.”
What this means for you
Test ordinary scenes as well as difficult lighting and crowded views.
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 detecting an object explain what it intends to do?
- No. Detection provides a location and category, not intention.
- Can one object be counted twice?
- Yes. A detector can produce overlapping or duplicate detections that need to be combined.
- Can partly hidden objects be missed?
- Yes. Another object blocking the view can hide the clues the system relies on.