task_categories:image-classification license:apache-2.0 size_categories:1K<n<10K format:parquet modality:image library:datasets library:dask library:mlcroissant library:polars region:us deepfake 0-bad 1-good
---
license: apache-2.0
size_categories:
- 1K<n<10K
task_categories:
- image-classification
tags:
- deepfake
- 0-bad
- 1-good
---
# **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  

```bibtex
@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}
}
```