I think my confusion maybe coming from the novice skill set I have.  I’m trying to predict a binary outcome per ID, where I have a tabular dataset with one observation per ID, and two sets of images with a relationship of 1 ID to N amount of photos.  I was thinking this concept maybe like Uber’s Ludwig model but now I think I’m way off.  Any guidance at this point will be greatly appreciated.  Thank you for sticking with me.