What is ground truth data?

Ground truth data is data collected at scale from real-world scenarios, to train algorithms on contextual information such as verbal speech, natural language text, human gestures and behaviors, and spatial orientation. The broad use of the term “ground truth” is derived from the geological/earth sciences to describe the validation of data by going out in the field and checking “on the ground.” It has been adopted in other fields to express the notion of data that is “known” to be correct.

In today’s digital world, the human-to-machine interface is moving from mice and keyboards to touchscreens, gestures, facial recognition, voice commands, and beyond, transforming the way we engage with machines, data, and each other. This revolution is driven by artificial intelligence (AI) and machine learning (ML) algorithms that rely on accurate ground truth data to produce effective recognition of the real world.

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