My purpose is to retrain an object detection model that can detect classes:
- custom doorsign
I was told to do it on a pre-trained unpruned NGC model, like trafficcamnet.
The question is, I can prepare the dataset only for
custom doorsign, the other 3 common classes will be from public dataset like
PASCAL VOC or
MS COCO, I would like to know how to only extract targeting sub classes(that 3 common classes: bicycle, motocycle, people) from the public dataset? Does
TAO support train for sub-classes in a dataset?