MicroGlam: Microscopic Skin Image Dataset with Cosmetics

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.