Published December 31, 2016 | Version v1
Conference paper Open

A Web-Based Service for Disturbing Image Detection

  • 1. CERTH-ITI, Thessaloniki, Greece
  • 2. Deutsche Welle, Berlin, Germany


As User Generated Content takes up an increasing share of the total Internet multimedia traffic, it becomes increasingly important to protect users (be they consumers or professionals, such as journalists) from potentially traumatizing content that is accessible on the web. In this demonstration, we present a web service that can identify disturbing or graphic content in images. The service can be used by platforms for filtering or to warn users prior to exposing them to such content. We evaluate the performance of the  service and propose solutions towards extending the training dataset and thus further improving the performance of the service, while minimizing emotional distress to human annotators.


We would like to acknowledge the support that NVIDIA provided us through the GPU Grant Program.



Files (385.8 kB)

Name Size Download all
385.8 kB Preview Download

Additional details


InVID – In Video Veritas – Verification of Social Media Video Content for the News Industry 687786
European Commission
REVEAL – REVEALing hidden concepts in Social Media 610928
European Commission