Transfer Learning with augmented Data for Logo Detection

The last months, I have worked on brand logo detection in R with Keras. The goal is to build a (deep) neural net that is able to identify brand logos in images. Just to recall, the dataset is a combination of the Flickr27-dataset, with 270 images of 27 classes and self-scraped images from google image search. In case you want to reproduce the analysis, you can download the set here. In the last post, I used the VGG-16 pretrained model and showed that it can be trained to achieve an accuracy of 55% on the training 35% on the validation set.