Audience

Researchers and any user in search of a tool to detect and analyze deepfake media

About DeepFake-o-meter

An open platform integrating state-of-the-art deepfake detection methods. You can upload a video from your computer, note that should upload only one video each time. Deepfakes refer to AI-synthesized fake media, by creating illusions of an individual's presence and activities that did not occur in reality, deepfakes can cause real harm when they are weaponized. DeepFake-o-meter is an open source and user-friendly online platform developed by the UB Media Forensics Lab to detect third-party deepfake algorithms. For users, it provides a convenient service to analyze deepfake media with multiple state-of-the-art detection algorithms, with secure and private delivery of the analysis result. For developers of deepfake detection algorithms, it provides an API architecture to wrap individual algorithms and run them on a remote machine. For researchers of digital media forensics, it is an evaluation/benchmarking platform to compare the performance of multiple algorithms.

Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

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Company Information

UB Media Forensics Lab
Founded: 2020
United States
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/

Videos and Screen Captures

DeepFake-o-meter Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

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DeepFake-o-meter Product Features