faster rcnn
时间: 2023-09-13 22:12:08 浏览: 84
Faster R-CNN (Region-Based Convolutional Neural Network) is a deep learning algorithm used for object detection in images. It was developed by Microsoft Research Asia in 2015 and is an improved version of the original R-CNN algorithm.
The Faster R-CNN algorithm consists of two main components – a region proposal network (RPN) and a detection network. The RPN generates proposals for object regions in the image and the detection network classifies these proposals into different categories and refines their bounding boxes.
The RPN is a fully convolutional network that takes an image as input and outputs a set of rectangular object proposals, each with an objectness score. The detection network takes each proposal as input and outputs the class label and refined bounding box coordinates.
Faster R-CNN is considered one of the most accurate object detection algorithms and is widely used in various applications such as autonomous driving, surveillance, and robotics.