Hello everyone,
Do you have an idea how to determine effectively which items are unknown, ambiguous whilst still being able to add/remove support
classes without expensive retraining ?
Best wishes,
Hi @Laura1, For re-training the model with the new class you have to add the new class data to the dataset which you have used previously to classify old and new classes.
Could you please elaborate more on this. Thank You.
Hello @Kiran_Sai_Ramineni,
Thank you very much for your reply. I will give another example.
Classes in my model: Chicken soup, Tomata soup, Pasta, Rice, Fish , Salad, Milk, Tea, Orange juice.
I want to limit it according to the menu of the day.
The menu of the day: Tomata soup, Pasta, Tea.
The model should not be able to recognize dishes that are not on the menu of the day.
And the next day the menu will change. Must only recognize the meals on the menu of the day. So I want to add and remove classes according to the menu.
But retraining every day is costly. I hope I could explain.
Thank you very much, @Kiran_Sai_Ramineni