Faster R-CNN is a popular two-stage object detection framework. In the first stage, it uses a Region Proposal Network (RPN) to generate a set of region proposals that are likely to contain objects. In the second stage, these proposals are classified and refined by a Fast R-CNN network. Faster R-CNN has shown high accuracy in object detection tasks, making it suitable for applications where precision is crucial, such as in medical image analysis for detecting tumors and in industrial inspection for finding defects in products.
