Deep Dive into Object Detection with YOLO/

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A Summary of How YOLO Makes Predictions

A Summary of How YOLO Makes Predictions

Learn the high-level summary of how YOLO makes predictions.

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Here’s a summary of how YOLO makes predictions:

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A high-level summary of object detection in YOLO
A high-level summary of object detection in YOLO

  1. Dividing the input image: The image is divided into a grid of size S × S. Each grid cell is responsible for predicting the objects whose centers fall within it.

  2. Using anchor boxes: Each grid cell uses predefined anchor boxes (or bounding box priors) with different shapes and ...