Datasets:
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README.md
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license: apache-2.0
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license: apache-2.0
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task_categories:
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- image-classification
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tags:
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- deepfake
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- quality
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- 0-bad
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- 1-good
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size_categories:
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- 1K<n<10K
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---
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# **Deepfake Quality Assessment**
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Deepfake QA is a Deepfake Quality Assessment model designed to analyze the quality of deepfake videos. It evaluates whether a deepfake is of good or bad quality, where:
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- **0** represents a bad-quality deepfake
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- **1** represents a good-quality deepfake
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This classification serves as the foundation for training models on deepfake quality assessment, helping improve deepfake detection and enhancement techniques.
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## Citation
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If you use our dataset or models, please cite:
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```bibtex
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@misc{deepfake_quality_assessment_2025,
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author = {Wildy AI Team Collaborations},
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title = {Deepfake Quality Assessment Models},
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year = {2025},
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note = {Early release},
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models_training = {@prithivMLmods},
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dataset_curation_strategy = {@prithivMLmods},
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dataset_curation = {Wildy AI Team}
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}
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```
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## Release Information
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- **Dataset Curated by:** Wildy AI Team
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- **Model Training & Curation Strategy:** @prithivMLmods
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- **Expected Release:** Early 2025
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