Data Annotation for Smart Security and Surveillance

Computer vision is a rapidly growing field of artificial intelligence that is revolutionizing the way we interact with technology. It involves the development of algorithms, models, and systems that enable computers to understand and interpret visual information from the world, such as images, videos, and live streams. With computer vision, computers can now understand and analyze visual information in real time, making it useful for a wide range of applications such as self-driving cars, medical imaging, surveillance, and many more.

Computer vision algorithms use machine learning techniques to process visual information and extract meaningful information from it. This information can then be used to make decisions or trigger actions. The algorithms are trained using a large set of labeled data, known as training data, to identify patterns and features in images and videos.