Data annotation
Data annotation involves assigning labels to unstructured data and information to train machine learning models. Raw data can take diverse forms such as images, video, text, and audio. When meticulously labelled, high-quality data plays a crucial role in aiding supervised machine learning models in tasks such as object identification, sentiment analysis, and functionalities like speech recognition or autonomous driving.