Figure 3

Object detection was achieved using a single regression model from the pixels to the coordinates of the bounding boxes and the class probabilities The input image is divided into an S × S grid. If the center of an object falls into a grid cell, that grid cell is responsible for detecting that object. Each grid cell predicts bounding boxes and confidence scores for those boxes.