Addressing the limitations and inconveniences imposed by the randomness in moiré pattern generation on deep learning model training, we have constructed the SynMoiré dataset through a synthetic approach to generate moiré images. The construction process involves resampling the original images into an RGB sub-pixel format, applying random projection transformations, radial distortions, and Gaussian filtering to simulate camera effects.