How does YOLO work?

Can you explain how the YOLO algorithm works?

Sure! YOLO, which stands for You Only Look Once, is an object detection algorithm that processes images in real-time.

What makes YOLO different from other object detection methods?

Unlike traditional methods that apply classifiers to different parts of the image, YOLO looks at the entire image at once, making it faster.

How does YOLO achieve such high speed?

YOLO uses a single neural network to predict bounding boxes and class probabilities directly from full images in one evaluation.

Can YOLO detect multiple objects in an image?

Yes, YOLO can detect multiple objects by predicting multiple bounding boxes and class probabilities for each object in the image.

What are some applications of YOLO?

YOLO is widely used in real-time applications like video surveillance, autonomous driving, and robotics for object detection.