What Is Computer Vision?

Written by Caitlin Davidson

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Computer Vision Defined

Computer vision is a displicine made up of machine learning and artificial intelligence capabilities, which allows computers to be made to gain a high-level understanding from images and videos.

Computer vision allows for the acquiring, processing, analyzing and understanding digital images, and extracting  high-dimensional data from the real world in order to produce numerical information.

Simply, it is the programming of a computer to interpret digital images from cameras and videos and through the use of deep learning. This programming allows computers to understand the visual world by identifying and classifying objects and reacting to them.

The images used in computer vision can take many forms, such as video sequences, views from multiple cameras, or multidimensional data from a medical scanner.

Computer vision is used in:

  • Object Classification: What category of object is in this photograph?
  • Object Identification: Which type of object is in this photograph?
  • Object Verification: Is the object in the photograph?
  • Object Detection: Where are the objects in the photograph?
  • Object Landmark Detection: What are the key points for the object in the photograph?
  • Object Segmentation: What pixels belong to the object in the image?
  • Object Recognition: What objects are in this photograph and where are they?

In Data Defined, we help make the complex world of data more accessible by explaining some of the most complex aspects of the field.

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