I'm working on Gender Classification with Fisherfaces right now, I'll need to add on to include Age Estimation and Emotion Detection. The accuracy of Fisherfaces right now is around 70-75% and I heard that adding more training images would actually help.
I intend to increase the amount of training images, but can I ask if races matter? For example, do I need to include faces of Asians to increase the accuracy of detecting an Asian's gender accurately? If so, are there any recommendations for any face databases with a wide range of unique individuals, different races, ages and emotions?