HIDREAMOff-the-shelf attack data, pulled through an API.
Labeled real and AI-generated imagery, broken out by group and by platform condition.
A map of where a detector fails, not a single score.
Per-demographic breakdown
Results per cell, not one pooled average that hides the group you fail on.
Platform conditions
Clean imagery plus re-encode variants for Facebook, Instagram, TikTok, and X.
Real and fake, paired
Every synthetic item traces back to a real source, for like-for-like scoring.
Commercially licensed
Cleared for building and evaluating detection under the Margen data license.
Three places to start.
What is in the catalog.
Teams that build or evaluate deepfake detection.
Find where your detector fails before a customer does.
Score each release against labeled real and synthetic media, and catch the regression before it ships.
Regression trackingPre-release QAModel cards
Licensed for commercial use, including building detection.
Real faces
Licensed from commercial stock-media providers.
Synthetic faces
Generated in house.
Your use
Each delivered item is licensed for your evaluation use under the Margen data license.
Start pulling.
Sign up, generate a key, and run the free sample through your own pipeline.
