Object Detection
Definition
Object recognition finds and localizes specific items or features in images.
A computer vision task that determines object classes and their spatial position, often as bounding boxes.
Simply explained
The system not only says what is in an image but also where it is located.
Why it matters in practice
Helps realistically assess model quality, limits, and technical decisions.
Example from business
A quality inspection localizes damages on component images.
Limits and pitfalls
- Do not confuse detection with segmentation or compare mAP without IoU protocol.
Origin & history
Object detection evolved from handcrafted features to CNN- and transformer-based detectors.
Use in mid-sized companies
- Possible example: A quality inspection localizes damages on component images.
Frequently asked questions
What does object detection mean?
A computer vision task that determines object classes and their spatial position, often as bounding boxes.
Which mistakes should be avoided?
Do not confuse detection with segmentation or compare mAP without IoU protocol.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no proof of real customer results.
Editorially reviewed on: