Which of the following are object detection algorithms?

The major families of object detection algorithms include:

R-CNN (Region-based CNN):Uses region proposals with CNN feature extraction.

YOLO (You Only Look Once):Performs real-time detection by predicting bounding boxes and class probabilities in a single pass.

SSD (Single Shot MultiBox Detector):Uses multiple feature maps for detecting objects at different scales in one pass.

Faster-R-CNN:Improves R-CNN with a Region Proposal Network for speed.

Exact Extract from HCIP-AI EI Developer V2.5:

"Common object detection algorithms include R-CNN, Faster R-CNN, YOLO, and SSD, each using different approaches for balancing accuracy and speed."