A Summary of How YOLO Makes Predictions

Explore the prediction process of the YOLO object detection model. Understand how it divides an image into grids, uses anchor boxes for diverse object sizes, predicts confidence scores and class probabilities, decodes bounding boxes, and applies non-maximum suppression to finalize accurate object detections.