Machine learning is applied in Computer Vision in various ways.
Image classification is one of the most common applications of machine learning. For example, a machine learning algorithm can be trained to recognize different types of animals in images. Image classification is used in facial recognition, object recognition, and medical diagnosis.
Another important application of machine learning is object detection. A machine learning algorithm can be trained to detect different types of vehicles on the road. Object detection is used in self-driving cars, surveillance, and industrial automation.
Machine learning is also used for image segmentation. It is the process of dividing an image into different regions or segments. Image segmentation identifies other objects within an image and can be used in many applications, such as medical imaging, robotics, and augmented reality.
Furthermore, machine learning may be used for object tracking. Object tracking may be used in video surveillance, sports analysis, and traffic monitoring.