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Data annotation

From Simple English Wikipedia, the free encyclopedia

Data annotation is all about labeling or tagging relevant information/metadata in a dataset to let machines understand what they are. The dataset could be in any form i.e., image, an audio file, video footage, or even text.

Data is one of the three key elements in the development of artificial intelligence. The development of computer recognition engine requires massive training data, which need to be annotated. These data include images, sounds, text, etc. Annotation of these types of data includes classification, frame, annotation, marking, etc.