In recent years, the development and refinement of artificial intelligence (AI) technologies have revolutionised various fields, including computer vision. One notable application within computer vision is the detection and reidentification of individuals, a crucial task in surveillance, security, and social applications. With the advent of synthetic image generation techniques, researchers and practitioners have increasingly turned to synthetic data to train and improve people detection and reidentification models. This article explores the usage of synthetic images in this context, highlighting its benefits, challenges, and future implications.