Object Recognition vs. Image Recognition

Object recognition is a subfield of computer vision, artificial intelligence, and machine learning that seeks to recognize and identify the most prominent objects (i.e., people or things) in a digital image or video with AI models. Image recognition is also a subfield of AI and computer vision that seeks to recognize the high level contents of an image. If you're familiar with the domain of computer vision, you might think that object recognition sounds very similar to a related task: image recognition. However, there's a subtle yet important difference between image recognition and object recognition: The best way to illustrate the difference between object recognition and image recognition is through an example. Given a photograph of a soccer game, an image recognition model would return a single label such as "soccer game."