CoolFace
Datasetpublicgated

strangerguardhf/Deepfakes-QA-Leaning

Deepfake Quality Assessment Deepfake QA is a Deepfake Quality Assessment model designed to analyze the quality of deepfake images & videos. It evaluates whether a deepfake is of good or bad quality, where: 0 represents a bad-quality deepfake 1 represents a good-quality deepfake This classification serves as the foundation for training models on deepfake quality assessment, helping improve deepfake detection and enhancement techniques. Citation… See the full description on the dataset page: https://huggingface.co/datasets/strangerguardhf/Deepfakes-QA-Leaning.

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
1likes4downloads
settings

This repository belongs to strangerguardhf on Hugging Face.

CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.

nameDeepfakes-QA-Leaning
visibilitypublic
licenceapache-2.0
gatedyes
ownerstrangerguardhf
Account settings
strangerguardhf/Deepfakes-QA-Leaning · CoolFace