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Annotation involves labelling data sets to make them more valuable to human readers or machines. As a result, annotation is quickly becoming an important sub-discipline within machine learning, where ...
Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
Why it matters: Accurate labeling sets the ceiling for AI performance, and even advanced algorithms fail without high-quality annotated data. How it’s done: Annotation covers text, images, audio, and ...