# Validation Set

Validation Set is only used for High Detail mode.

Validation Set is used to evaluate a model created from the train set on a certain iteration period. This is like an idea of a deep learning model taking a mock exam before a real exam. Based on the evaluation results with the validation set, High Detail mode architecture calculates a loss and select a final model with the lowest loss.

Tip: For High Detail mode, the loss value is the mean precision of every class. So it is better to have value close to 0.

You can get more information about how to set a Validation Set Ratio.