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Real Time Object Detection in Images using YOLO

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Figure

Figure 1 : Shows Architecture detection network has 24 convolutional layers followed by 2 fully connected layers
Figure 2 : Input (a), system model detection as a regression problem. It divides the image into an S × S grid and for each grid cell predicts B bounding boxes, confidence for those boxes, and C class probabilities
Table 1: Examining the Gain on combining Fast R-CNN with YOLO on various data sets.
Table 2:On PASCAL VOC 2012 mean average precision and per-class average precision are shown for a variety of detection methods

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