Facial recognition results highly rely on the quality of the image and the influence of factors such as lighting, occlusion, the person’s pose, and race. One way to improve face recognition is to collect versatile training datasets with detailed visual data. Besides, the development of photo and video technology directly impacts image resolution and, consequently, facial recognition.