HALCON's deep-learning-based object detection 2: train a model

We will take a look at some hyperparameters that influence the training progress, like for example the learning rate. Additionally, we will learn how and when to augment your data. Lastly, we will have a look how to interpret the extensive training progress visualization. For example, we will examine the ‘mean average precision’, which is used to evaluate the performance of the model during training.