metadata

license: apache-2.0
task_categories:
  - image-classification
language:
  - en
tags:
  - Deepfake
  - Classification
  - 0-bad
  - 1-good
  - Unfiltered
size_categories:
  - 10K<n<100K

Deepfake-Unfiltered-30K

Deepfake-Unfiltered-30K is a Deepfake Quality Assessment model dataset 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

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