DeepFake-o-meterUB Media Forensics Lab
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About
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.
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About
Extend awareness of the power of 3D reconstruction from images and photogrammetry by developing a C++ framework. Simplify reproducible research with easy-to-read and accurate implementation of state of the art and "classic" algorithms. OpenMVG is designed to be easy to read, learn, modify and use. Thanks to its strict test-driven development and samples, the library allows to build trusted larger systems. OpenMVG provides an end-to-end 3D reconstruction from images framework compounded of libraries, binaries, and pipelines. The libraries provide easy access to features like images manipulation, features description and matching, feature tracking, camera models, multiple-view-geometry, robust-estimation, structure-from-motion algorithms, etc. The binaries solve unit tasks that a pipeline could require scene initialization, feature detection & matching and structure-from-motion reconstruction.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Researchers and any user in search of a tool to detect and analyze deepfake media
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Audience
Anyone seeking an open multiple view geometry library for 3D computer vision and structure from motion
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationUB Media Forensics Lab
Founded: 2020
United States
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/
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Company InformationopenMVG
github.com/openMVG/openMVG
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Integrations
No info available.
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Integrations
No info available.
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