Data Collection & Annotation
Data collection and annotation are critical components of data preparation for machine learning and data analysis.
The process of data collection involves gathering information from diverse sources, such as surveys, social media, public databases, and sensors.
Meanwhile, data annotation involves labeling data with additional information, such as metadata or complex labels, to enhance its usefulness for machine learning or other analytical purposes.
To meet the growing demand for large volumes of reliable data, we offer a comprehensive data collection and annotation service. Our team has completed numerous projects involving voice and photo collection, as well as data and text gathering and annotation, to help our clients train their AI engines.