The DeepID challenge aims to advance state of the art in detection of digitally manipulated ID documents. Recent increase in fraudulent attempts to bypass know your customer (KYC) services with generated or manipulated images of ID documents calls for automated robust detection methods. In this challenge, we provided participants with a training dataset of fantasy ID cards containing both bona fide and manipulated samples (faces swapped and text inpainted). For evaluation, we created a separate test set of fantasy ID cards and also a private 20K set of real world ID documents with genuine bona fide and digitally manipulated versions. We evaluated the docker submissions from more than 25 participated teams using an air gapped machine on the two datasets. The workshop will feature two keynote talks from renown researchers in media forensics and the top winning teams of the challenge.