Evaluation of synthetic data effectiveness in downstream classification tasks.

Classification downstream tasks were conducted using four types of data consisting of origin and synthetic data. Training with synthetic images alone resulted in lower classification accuracy compared to original images. However, combining both synthetic and original data to form a larger dataset achieved the highest average classification accuracy.