Synthetic data is artificially generated data designed to resemble selected patterns, structures, or statistical properties of real data. It can support testing, training, privacy-preserving development, and simulation, but may still carry privacy, bias, or fidelity risks depending on how it is generated.
A side-by-side comparison of Synthetic Data and Personal Data. Understand how artificially generated data differs from information relating to an identified or identifiable person.
A side-by-side comparison of Data Augmentation and Synthetic Data. Understand how modifying or transforming existing data differs from generating artificial data that resembles real data.