Retraining strategies for object detection/classification models

How can we retrain a trained object detection/classification model to add more classes efficiently.

I am looking for strategies like data preparation (proportion of data wrt classes), freezing of layers or playing with learning rate etc.

Please share your opinions and suggestions.
Thanks

classification classification model computervision data data preparation detection etc opinions playing rate strategies