In designing an analysis strategy for one project, I have a question about how multi-animal deeplabcut is trained. Here’s my situation: my videos have variable numbers of individuals. The vast majority of videos have just one or two animals, but some have up to six animals. I don’t need DLC to identify individuals (I can barely do that myself), so this would be a very generalized model.
As an extreme/unlikely example: If I set up my config file to have six different individuals, can I only train it on videos with one animal? If I can, do I label all points under animal 1 in all frames? Does DLC apply what it knows about animal 1 to animals 2-6?
I guess what I’m asking is if it pools labelling/training info among individuals.
At the other extreme, I could fully label only (mostly) videos with 6 individuals. The problem is that I have so few of those right now that it may just be faster to manually digitize those, and limit DLC use to videos with 1-3 animals.