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The Importance of Data Quality When Training AI

Aug. 1, 2022
The challenge in deploying a trustworthy AI-based system is not necessarily just with the machines themselves.

With artificial intelligence (AI) on the rise and making its way more and more into our daily lives, companies of all kinds have also started exploring what AI has to offer.

In imaging applications, AI has become widespread in assisting with analyzing complex images. The challenge in deploying a trustworthy AI-based system is not necessarily just with the machines themselves. The quality of the training that can be provided to the AI can also have a major impact.

A crucial factor in properly training an AI is the quality of images that are used in the process. Instead of focusing on resolution, even though clarity in images is useful, quality in AI image sets is strongly proportional to variation. For example, in a traffic application, an AI needs to be trained to understand various vehicles. To do this, a data set of images must be provided to visualize what the AI should be looking to identify.

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