Any machine learning model is based on data. Normally, huge amounts of data a model will learn from. Labels are annotations given to pieces of raw data that are needed for their identification. Labels identify whether an image depicts a daisy or a building, which words were said in a record, or whether item packaging has defects. Data labeling is necessary for a number of applications such as computer vision, natural language processing, and speech recognition.