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--- |
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license: apache-2.0 |
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task_categories: |
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- image-classification |
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language: |
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- en |
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tags: |
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- Deepfake |
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- Classification |
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- 0-bad |
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- 1-good |
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- Unfiltered |
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size_categories: |
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- 10K<n<100K |
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--- |
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# **Deepfake-Unfiltered-30K** |
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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: |
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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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```bibtex |
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@misc{deepfake_quality_assessment_2025, |
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authors = {Wildy AI Team Collaborations, @prithivMLmods}, |
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title = {Deepfake Quality Assessment Models}, |
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year = {2025}, |
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note = {April 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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``` |
