---
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  

```bibtex
@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}
}
```