Faster R-CNN — Faster Region-based Convolutional Neural Network

Fact

An object detection model with a region proposal network for finding objects.

In Plain Words

Faster R-CNN is like a school lunch monitor. It first circles the flying-fries table. Then it checks who caused the mess.

It first draws likely boxes in an image. Then it names what is inside. It can find people and cars. It can also mark spots in medical scans. It is steady and accurate. But it is slower than one-stage models.

Related Concepts

• Region-based Convolutional Neural Network
• Object Detection
• Convolutional Neural Network
• You Only Look Once

R-CNN
Faster R-CNN moves region proposal generation into the network.

Object Detection
Faster R-CNN is a classic two-stage model for object detection.

CNN
Faster R-CNN uses a CNN to pull useful features from images.

YOLO
YOLO detects in one step, so it leans harder toward speed.