Instance-level Object Detection of Grocery Store items using R-CNN:s
Currently, the best ways to perform object detection in an image is to use a neural network trained on large sets of annotated data. However, in certain environments, the number of objects is large and gathering a sufficiently big set of annotated data is prohibitively expensive. In this thesis, the possibility of using computer-generated artificial data instead in such an environment, is investig