ai and image recognition

Image recognition is a mechanism used to identify an object within an image and to classify it in a specific category, based on the way human people recognize objects within different sets of images. For example, Google Cloud Vision offers a variety of image detection services, which include optical character and facial recognition, explicit content detection, etc., and charges fees per photo. Microsoft Cognitive Services offers visual image recognition APIs, which include face or emotion detection, and charge a specific amount for every 1,000 transactions. These types of object detection algorithms are flexible and accurate and are mostly used in face recognition scenarios where the training set contains few instances of an image. Training image recognition systems can be performed in one of three ways — supervised learning, unsupervised learning or self-supervised learning. Usually, the labeling of the training data is the main distinction between the three training approaches.