RCNN (Region-based Convolutional Neural Networks)

RCNN, or Region-based Convolutional Neural Network, is a machine learning method used for object detection in images. It works by first identifying potential areas in an image that might contain objects, called regions. Each region is then analyzed with a neural network to determine what object it contains, such as a dog or a car. This process allows the system to accurately locate and identify multiple objects within complex scenes. RCNN combines traditional image processing with deep learning to improve detection accuracy and has been influential in advancing computer vision applications.