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FaceSynthetics is a dataset of 100,000 synthetic faces with 2D landmark and pixel-perfect segmentation labels, designed for training face analysis models. It demonstrates that models trained solely on this synthetic data can achieve state-of-the-art accuracy on real-world face tasks like landmark localization and face parsing.
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