  In this paper, we present a cosmetic-specific skin image dataset. It consists
of skin images from $45$ patches ($5$ skin patches each from $9$ participants)
of size $8mm^*8mm$ under three cosmetic products (i.e., foundation, blusher,
and highlighter). We designed a novel capturing device inspired by Light Stage.
Using the device, we captured over $600$ images of each skin patch under
diverse lighting conditions in $30$ seconds. We repeated the process for the
same skin patch under three cosmetic products. Finally, we demonstrate the
viability of the dataset with an image-to-image translation-based pipeline for
cosmetic rendering and compared our data-driven approach to an existing
cosmetic rendering method.
