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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ 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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+
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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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+
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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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+
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+ ## Citation
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+
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+ If you use our dataset or models, please cite:
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+
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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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+
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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