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Description
Content Credentials offer enhanced clarity regarding the processes behind the creation or modification of digital content. Frequently, crucial details about online material are either elusive or misleading. This innovative tool uncovers valuable insights that are typically obscured and introduces a straightforward technology that provides answers to your inquiries about content with ease. By making the provenance and evolution of digital material accessible to all, Content Credentials empower users to evaluate the reliability of the information they encounter, fully grasping its nature and the extent of any alterations it may have undergone. In the digital landscape, content is often attributed incorrectly or not acknowledged at all, leading to numerous missed chances for creators to receive credit. Our platform not only helps creators gain recognition for their contributions but also supports them in marketing their work and cultivating a dedicated audience, thus enriching the creative ecosystem. Ultimately, the implementation of Content Credentials fosters a more trustworthy and equitable environment for all digital creators.
Description
An accessible platform that incorporates cutting-edge methods for detecting deepfakes is available for use. Users can upload a single video file from their computer at a time. Deepfakes, which are AI-generated fabricated media, can create misleading representations of individuals and their actions, posing significant risks when misused. The DeepFake-o-meter, created by the UB Media Forensics Lab, is an open-source tool designed to identify deepfake technologies created by third parties. It offers a user-friendly service that allows for the analysis of deepfake content using various advanced detection techniques, ensuring that results are delivered securely and privately. Additionally, it features an API framework that enables developers to integrate their deepfake detection algorithms and execute them on a remote server. Furthermore, it serves as a valuable resource for researchers in digital media forensics, providing a platform for assessing and benchmarking the effectiveness of different detection algorithms against one another. This multifaceted approach ultimately enhances the fight against the misuse of deepfake technology.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Content Credentials
Country
United States
Website
contentcredentials.org
Vendor Details
Company Name
UB Media Forensics Lab
Founded
2020
Country
United States
Website
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/