Hi guys. Quick question. Maybe one of you can help me with it. 
Let’s say I have trained a model that detects a specific object in images like cats and after a few weeks I collected new data that I would like to use to further improve my model. Can I continue the training of the saved model with the new data or do I have to “create” (train) a new model based on the old and new data sets?
Nothing, concerning what I want the object detection model to detect, changes. I simply want to give it more data to improve but I can’t find an answer to the question, if I should train a completely new model or if I can continue the training of the current one?
Thx for taking your time to help me out.