DeepFake-o-meter

An open platform integrating state-of-the-art DeepFake detection methods



If you are a developer and want your DeepFake detection method to be included in DeepFake-o-meter, please follow these steps.

Please find instructions of using DeepFake-o-meter in this video tutorial.

Upload Video

you can enter a YouTube video URL or upload video from your computer. Note the video should contain only one subject and upload one video each time.

•Upload an url.
  Video Url:

• Or upload the video (maximum size is 50MB).


Select DeepFake Detection Methods

Select the deepfake Methods.Instruction Reference

Select Methods
  • Capsule
  • ClassNSeg
  • DSP-FWA
  • FWA
  • MesoNet
  • Upconv
  • VA
  • XceptionNet
  • Selim
  • WM
  • CNNDetection




Input your e-mail and PIN code

The submission notification and download link of your results will be sent to your email. Only one email is required.

• E-mail address:

The PIN code is used for download verification

• A 4~6 digits PIN code:


Agreement

By clicking this box, I accept the terms of using DeepFake-o-meter.




DeepFake-o-meter is developed by Yuezun Li, Cong Zhang, Pu Sun, and Siwei Lyu of UB Media Forensic Lab. The DeepFake-o-meter platform is grateful to the tremendous technical support from the CSE-consult group of the CSE Department at UB. Last but not least, the DeepFake-o-meter team would like to thank all the authors, contributors, and developers of the individual detection algorithms (see the full list Reference)