five

deepFRR

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IEEE2026-04-17 收录
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https://ieee-dataport.org/competitions/deepfrr
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资源简介:
DeepFRR (Deep Face Retouching Reversal) is a comprehensive dataset designed for face retouching analysis and reversal research. The dataset contains 50,000 high-resolution (1024 \u00d7 1024) facial images, providing a robust foundation for studying face manipulation and restoration techniques. The dataset utilizes Face++ API to apply various retouching operations:Eye EnlargingFace SlimmingSkin WhiteningSkin SmoothingEyebrow ShapingFace ShrinkingRetouching parametersRetouching levels: Adjustable from 0 to 100Professional-grade commercial retouching effectsCustomizable operation combinationsThis dataset is particularly valuable for:Face retouching detectionOriginal image restorationDeep learning model trainingFace manipulation analysis
提供机构:
fengchuang xing
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