Introduction to Cognitive Computing
Computer vision is a subset of artificial intelligence that focuses on enabling computers to interpret and understand images and videos. In other words, it is the ability of computers to recognize and analyze visual data from the world around us. Computer vision has a wide range of applications, from self-driving cars to facial recognition software to medical image analysis.
One example of computer vision in action is object detection. Object detection is the process of locating and identifying an object in an image or video. For example, a self-driving car needs to be able to detect other cars, pedestrians, and traffic signals in order to navigate the roads safely. Object detection can be achieved using machine learning algorithms, which can learn to recognize patterns and features in images.
Another example of computer vision is facial recognition, which is used in security systems and social media. Facial recognition involves analyzing an image or video to identify and authenticate an individual's identity. This is achieved using a combination of machine learning algorithms and statistical modeling.
Computer vision is a rapidly evolving field, with new applications and techniques being developed all the time. As computers become more powerful and sophisticated, the potential for computer vision to revolutionize industries such as healthcare, transportation, and security is enormous.
All courses were automatically generated using OpenAI's GPT-3. Your feedback helps us improve as we cannot manually review every course. Thank you!