illumination problem for face landmark detection I trained dlib face landmark detection model using ibug and yaleB datasets. Accuracy of the model is dropping when a bright light or a shadow appears on the side face. Used default parameters and similar images were included while training. Is there any solution to overcome the problem.
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):