Mastering Computer Vision with TensorFlow 2.x

Overview of Faster R-CNN

Both R-CNN and Fast R-CNN rely on a selective search method to develop a 2,000 region proposal, which results in a detection rate of 2 seconds per image compared to 0.2 seconds per image for most efficient detection methods. Shaoquing Ren, Kaiming He, Ross Girshick, and Jian Sun wrote a paper titled Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks to Improve the R-CNN Speed and Accuracy for Object Detection. You can read the paper at https://arxiv.org/abs/1506.01497.

The following diagram shows the architecture of faster R-CNN:

The key concepts are shown in the following list:

• Introduction ...