One potential dataset is the Selfie Data Set
Selfie dataset contains 46,836 selfie images annotated with 36 different attributes divided into several categories as follows.
Gender: is female.
Age: baby, child, teenager, youth, middle age, senior.
Race: white, black, asian.
Face shape: oval, round, heart.
Facial gestures: smiling, frowning, mouth open, tongue out, duck face.
Hair color: black, blond, brown, red. Hair shape: curly, straight, braid.
Accessories: glasses, sunglasses, lipstick, hat, earphone.
Misc.: showing cellphone, using mirror, having braces, partial face. Lighting condition: harsh, dim.
There are a few tags that may be useful, for example, see the bold ones above.
Reference: Mahdi M. Kalayeh, Misrak Seifu, Wesna LaLanne, Mubarak Shah, How to Take a Good Selfie?, in Proceedings of ACM Multimedia Conference 2015 (ACMMM 2015), Brisbane, Australia, October 26-30, 2015.