metadata

license: apache-2.0
size_categories:
  - 10K<n<100K
task_categories:
  - image-classification
tags:
  - deepfake
  - quality
  - 0-bad
  - 1-good
  - base64

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

If you use our dataset or models, please cite:

@misc{deepfake_quality_assessment_2025,
  author = {Wildy AI Team Collaborations},
  title = {Deepfake Quality Assessment Models},
  year = {2025},
  note = {Early release},
  models_training = {@prithivMLmods},
  dataset_curation_strategy = {@prithivMLmods},
  dataset_curation = {Wildy AI Team}
}