A lot of our research and development activities rely on large collections of web media content sourced from social media platforms, such as YouTube and Twitter, and then manually curated and annotated by our researchers with the purpose of creating “ground truth” datasets. This helps us train machine learning models on specific tasks and then benchmark those models along with competing approaches in order to select the best method per case.
Polychronis from the MeVer team had the opportunity to visit DeepTrace Labs, a company based in Amsterdam, focusing on deepfake detection. MeVer and DeepTrace have recently started collaborating on the problem of DeepFake detection, which MeVer faces in the context of the WeVerify project. As part of this collaboration, the two teams also joined forces to tackle the Kaggle’s DeepFake Detection Challenge. The goal of the challenge is to build effective solutions that can help detect DeepFakes and manipulated media. The final deadline for submissions is March 31, 2020.