Common
Data annotation
Process supporting machine learning
Data annotation
Data annotation is the process within a dataset of adding relevant metadata labels or tags to enable machines to interpret the data in line with its intended use. Data is a fundamental component in the development of artificial intelligence (AI). Data annotation allows AI models to interpret data. For example, it may inform the model that a particular set of pixels is a picture of a bicycle, or that a particular structure of sentence should be interpreted as a mathematical formula. Training AI models, particularly in computer vision and natural language processing, requires large volumes of annotated data. Annotation choices determine how machine learning algorithms recognize patterns and also drive the predictions they make. The dataset can take various forms, including images, text, audio files and video footage. Data annotation labels can be human-generated, system-generated, or a mix of both. The availability of large-scale annotated datasets has been a major factor in the development...
Open boosters, collect cards and trade them. Free to play.
Play for free