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Image recognition is a term for computer technologies that can recognize certain people, animals, objects or other targeted subjects through the use of algorithms and machine learning concepts. The term “image recognition” is connected to “computer vision,” which is an overarching label for the process of training computers to “see” like humans, and “image processing,” which is a catch-all term for computers doing intensive work on image data.
Image recognition is done in many different ways, but many of the top techniques involve the use of convolutional neural networks to filter images through a series of artificial neuron layers. The convolutional neural network was specifically set up for image recognition and similar image processing. Through a combination of techniques such as max pooling, stride configuration and padding, convolutional neural filters work on images to help machine learning programs get better at identifying the subject of the picture.
Image recognition has come a long way, and is now the topic of a lot of controversy and debate in consumer spaces. Social media giant Facebook has begun to use image recognition aggressively, as has tech giant Google in its own digital spaces. There is a lot of discussion about how rapid advances in image recognition will affect privacy and security around the world.