Data annotation is the process of labeling or categorizing data to make it understandable and usable for machine learning algorithms. It involves adding metadata or labels to raw data, such as images, videos, text, or audio, to provide context and enable the training of AI models.
For example, in image recognition, data annotation might involve marking specific objects within an image, like cars, trees, or people, with bounding boxes or polygons. This labeled data is then used to train a machine learning model to recognize these objects in new, unseen images.
In the context of natural language processing, data annotation could mean labeling text with parts of speech, sentiment, or named entities, which helps in training models to understand and generate human-like text.
Tencent Cloud offers services like Tencent Cloud AI's Data Annotation Platform, which provides a comprehensive solution for data annotation needs, supporting various types of data and annotation tasks, and facilitating the efficient management and utilization of annotated data for AI model training.