Polyethylene terephthalate (PET) bottle recycling is a highly automated task; however, manual quality control required due to inefficiencies of the process. In this paper, we explore automation sub-task, namely visual detection, using convolutional neural network (CNN)-based methods and synthetic generation labelled training data. We propose pipeline tailored for transparent crushed PET detecti...
