At Deep Media, we're dedicated to protecting the world from deepfakes and unsafe AI. Our mission is to deliver high-accuracy, scalable Media Security solutions to enterprises, governments, and journalists, safeguarding the integrity of digital content in an era of rapidly evolving AI technology.
As AI-generated content becomes increasingly sophisticated and accessible, the risks of digital deception grow exponentially. From political manipulation to financial fraud, the threats are real and immediate. Our research aims to stay ahead of these challenges, developing cutting-edge detection methods to preserve trust in our digital ecosystem.
“In The Wild” Benchmarks Datasets are comprised from GenAI and Real content that posted on social media, image boards, and other online sources representing real-world uses and threats from Generative AI.
GENAI vs REAL Images
Our flagship dataset features 3,000 meticulously curated images, representing the largest and most up-to-date collection of high-quality AI-generated content. This benchmark focuses on real-world issues like political misinformation and advertising fraud, providing researchers with CLIP-B32 embeddings for each image.
Explore Our Benchmark Dataset and Accuracy Report
Grok2/FLUX Images - Quick Analysis
As generative AI technology rapidly advances, the need for robust detection methods grows increasingly crucial. Deep Media presents a focused benchmark dataset comprising ~250 images generated by the recently released Grok2 AI system, which utilizes the FLUX model. This dataset represents a timely snapshot of state-of-the-art AI-generated imagery, offering researchers and developers a unique opportunity to test and refine detection algorithms against the latest advancements in generative AI.
Explore Our Benchmark Dataset and Accuracy Report
GENAI vs REAL Voices
[Coming soon]
GENAI vs REAL Faces in Video
[Coming soon]
“Laboratory” Benchmarks Datasets are generated by Deep Media and represent “ideal” scenarios where variables such as compression and noise can be more easily controlled.
GenAI Image Generator Attribution
This state of the art image dataset contains 8,000 image samples across 4 of the highest quality image generators to be used for the image generator attribution task.
Explore Our Benchmark Dataset and Accuracy Report
GenAI vs REAL Voices
This comprehensive audio dataset contains over 200,000 voice samples from 15+ Generative AI Voice algorithms. It's designed to advance the state-of-the-art in synthetic speech recognition and robust deepfake detection in voice.
[Accuracy Report coming soon]
Explore Our Audio Benchmark Dataset
As AI continues to evolve, so must our defenses. We invite researchers, institutions, and tech companies to leverage our datasets and join us in developing the next generation of safeguards against digital deception.
Together, we can preserve the integrity of our shared information ecosystem and ensure that the AI revolution leads to ethical and valuable outcomes for all of humanity.