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Image recognition is a process used to identify objects in digital images. It is typically done by building deep neural networks that analyze each image pixel and are fed as many labeled images as possible to train them to recognize related images. This process is divided into three steps: edge detection, three-dimensional model comparison, and guided machine learning.