Model Drift in Computer Vision Models: Understanding the Problem

What Is a Computer Vision Model?

Computer vision (CV) is a field within artificial intelligence and machine learning (ML) that involves computer programs interpreting the meaning of image and video inputs. A computer vision algorithm can analyze specific criteria in visual data and use its interpretations to implement predictive and decision-making tasks.

Modern computer vision models are highly sophisticated and cover many use cases to automate critical decision-making systems and enhance business efficiency. As a type of machine learning algorithm, computer vision models are challenging to deploy.

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