Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics. (arXiv:2210.09814v1 [cs.CV])

State-of-the-art approaches in computer vision heavily rely on sufficiently
large training datasets. For real-world applications, obtaining such a dataset
is usually a tedious task. In this paper, we present a fully automated pipeline
to generate a synthetic dataset for instance segmentation in four steps. In
contrast to existing work, our pipeline covers every step from data acquisition
to the final dataset. We first scrape images for the objects of interest from
popular image search engines and since we rely only …

arxiv dataset dataset generation learn logistics