Faster R-CNN
Faster R-CNN first finds places where objects might be, then checks those places carefully.
What it does
Faster R-CNN first finds places where objects might be, then checks those places carefully.
Region: A specific area of a photo • Proposal: An AI's guess
How it works
- Scan the image for possible object areas.
- Zoom in on each possible area.
- Decide what object is inside each area.
Uses and applications
- A hospital tool can help point doctors to areas on medical scans.
- A warehouse camera can count boxes on shelves.
- A wildlife camera can find animals in photos.
In short
It is slower than YOLO but can be more careful.
Related methods
- YOLO (You Only Look Once): Detects objects in a single pass, usually faster.
- Mask R-CNN: Adds a pixel mask for each detected object.
- ResNet: A common backbone for extracting image features.
Back to Computer vision · All topics
The interactive demonstration and the Python walkthrough for this topic need JavaScript.