Data Augmentation for Object Detection using Deep Reinforcement Learning
Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. Since the quality of training data is one of the, if not the most important factor to obtain a good model, this master thesis poses th