_[disclaimer: noob to ML in general]_
I'm getting started with the NCS and can successfully run demos using an SSD model for caffe generously supplied by github:chuanqi305
But AFAICS that model was trained with 21 classes, while the one provided by the TensorFlow team includes 99 classes: some of the additional classes are ones I need for my application (for example: cup/glass)
So I thought that a reasonable next step would be to compile that TF model, which I've used with my local TF, to be usable on NCS.
But I also thought that it's likely that someone else has done this or has compiled a model that has a larger number of classes.
@raygeeknyc At the moment, the NCSDK doesn't have support for SSD MobileNet on TensorFlow. The main difference that you're mentioning is the dataset that the network was trained with. Likely the 21 class SSD MobileNet was trained with the VOC dataset and the 99 classes version was trained with the COCO dataset.