Data annotation and labeling can be applied to various types of data, depending on the specific requirements of a machine learning task. Here are some common types of data that can be annotated and labeled: Text data: Text data can be annotated at different levels, such as character, word, sentence, or document level. Image data: Image data annotation involves labeling objects, regions, or attributes within images. Audio data: Audio data annotation involves labeling various aspects of audio signals, such as speech, music, or environmental sounds. Video data: Video data annotation combines aspects of image and audio annotation, as well as temporal information. Time-series data: Time-series data annotation involves labeling sequences of data points collected over time, from domains like finance, healthcare, and IoT.