Deepfake-Quality-20K

# **Deepfake-Quality-20K**

Deepfake-Quality-20K 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}
}
```

# **Deepfake-Quality-20K（深度伪造质量20K）**

Deepfake-Quality-20K是一款专为深度伪造质量评估（Deepfake Quality Assessment）打造的数据集，旨在分析深度伪造图像与视频的质量。该数据集用于判定深度伪造内容的质量优劣，具体规则如下：
- **0** 代表劣质深度伪造内容
- **1** 代表优质深度伪造内容

该分类任务可作为深度伪造质量评估模型训练的核心基础，助力优化深度伪造检测与增强技术。

## 引用格式

bibtex
@misc{deepfake_quality_assessment_2025,
authors = {Wildy AI Team Collaborations, @prithivMLmods},
title = {Deepfake Quality Assessment Models},
year = {2025},
note = {2025年4月发布},
models_training = {@prithivMLmods},
dataset_curation_strategy = {@prithivMLmods},
dataset_curation = {Wildy AI Team}
}