Computer Vision#
Image recognition is a type of machine learning that involves training a model to identify and classify objects, scenes, and other visual elements in images. This is typically done by feeding a large number of labeled images (i.e., images with known objects or scenes) into the model, which then uses this data to learn how to recognize and classify similar objects or scenes in new images. Image recognition can be used for a wide range of applications, such as identifying objects in a photo, labeling scenes in videos, or detecting faces in a crowd. Some examples of image recognition technology include facial recognition systems, optical character recognition (OCR) for reading text in images, and automated license plate readers used by law enforcement.