illumination problem for face landmark detection
Maybe you might try out the brightness data augmentation; in Keras you have something like:

ImageDataGenerator(brightness_range=[0.2,1.0])


in case you want to generate different brightness levels between 20% and 100% based on your train images. For example (taken from Deep learning for computer vision book by Jason Brownlee):