YOLO (You Only Look Once)

What is YOLO (You Only Look Once)?

YOLO (You Only Look Once) is a family of one-stage object detection models, known for their speed and efficiency. Unlike two-stage detectors, YOLO treats object detection as a single regression problem, directly predicting bounding boxes and class probabilities from full images in one evaluation.

Where did the term "YOLO (You Only Look Once)" come from?

Introduced by Joseph Redmon et al. in 2015.

How is "YOLO (You Only Look Once)" used today?

One of the most popular and widely used object detection models.

Related Terms

• Object Detection
• Anchor Box