DiffSynFace: A Demographically (Age, Gender and Ethnicity) Diverse Synthetic Face Dataset

The DiffSynFace is a large-scale synthetic face dataset, consists of 40k+ hyper-realistic synthetic face images. It leverages seven state-of-the-art diffusion-based text-to-image models (Stable Diffusion 1.5, Stable Diffusion 2, Stable Diffusion XL, Stable Diffusion XL-Turbo, Dalle3, Adobe Firefly and Midjourney) to generate images. The dataset provides balanced demographic representation across six ethnic groups (African, American, East Asian, European, Indian and South Asian), two genders (Female and Male), and four age categories (20s, 30s, 40s and 50s). Each age group is further split into  early, mid and late stages (40 each), ensuring at least 120 images per age group per gender per ethnicity per generator, leading to a minimum of 40k images in total.