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We developed an efficient framework for pixel-level face parsing annotation and constructed a new large-scale face parsing dataset named LaPa. The dataset includes over 22,000 face images with rich variations in expression, pose, and occlusion. Each image is accompanied by an 11-class pixel-level label map and 106 landmark points.
