MartinL do you have any suggestions or is the choice of model less relevant when it comes to complexity development/procedure?
Mobilenet_v2 is going to be a great choice for running your model in realtime on the OAK-D, so that's a good one to continue on. There's really no right or wrong answer there though... you might find a YOLO model is easier to start with if you are just starting with DNNs, because you can train the model with Darknet and don't need to learn the tensorflow API which is somewhat messy to be honest (although it can do a lot more than Darknet once you get the hang of it). It's also a lot easier to set up your data for ingestion into Darknet compared to tensorflow in most cases 🙂
This tutorial from Luxonis is excellent if you just want to get started with an SSD and run it on the OAK: