Wondering how you approach your training set workflow.
I’ve been separating my extraction folders with the corresponding alignments so that I can keep track of them easily, and then copying and pasting into one big training set where I then merge all of my alignments. Was wondering if there would be a benefit to creating multiple training sets based on similar facial positions/lighting and taking turns moving through each set to address lagging image-types, or if the homogenous training set is preferable for making sure the model gets everything at once?