Darknet and Data Augmentation

Question

In the darknet deep learning framework .cfg files we see parameters like

angle, saturation, exposure

These parameters are used for data augmentation in classic image classification problems. Does Darknet automatically perform image augmentation automatically for object detection by setting up these parameters?

Answer 1

Yes. By default, data augmentation is done automatically by DarkNet. For example, when training, the input image will be rotated by a random angle, up to the specified angle. With those parameters in the .cfg file, you can control thoses limits.