MERL-RAV (MERL Reannotation of AFLW with Visibility)
Introduced by Kumar et al. in LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
The MERL-RAV (MERL Reannotation of AFLW with Visibility) Dataset contains over 19,000 face images in a full range of head poses. Each face is manually labeled with the ground-truth locations of 68 landmarks, with the additional information of whether each landmark is unoccluded, self-occluded (due to extreme head poses), or externally occluded. The images were annotated by professional labelers, supervised by researchers at Mitsubishi Electric Research Laboratories (MERL).
Benchmarks
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MERL-RAV
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SPIGA
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MERL-RAV
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SPIGA
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Papers
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