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This lesson discusses the Faster R-CNN algorithm, a deep learning-based object detection algorithm, and its components, including anchors, the base network, the Region Proposal Network (RPN), and Region of Interest (ROI) pooling. It also covers the TensorFlow Object Detection API, which is used to train Faster R-CNN object detectors on custom datasets. This lesson is the first of a 2-part series on Faster R-CNNs and focuses on object detection from a self-driving cars standpoint.