ELFW (Extended Labeled Faces in-the-Wild)
Introduced by Redondo et al. in Extended Labeled Faces in-the-Wild (ELFW): Augmenting Classes for Face Segmentation
Extended Labeled Faces in-the-Wild (ELFW) is a dataset supplementing with additional face-related categories —and also additional faces— the originally released semantic labels in the vastly used Labeled Faces in-the-Wild (LFW) dataset. Additionally, two object-based data augmentation techniques are deployed to synthetically enrich under-represented categories which, in benchmarking experiments, reveal that not only segmenting the augmented categories improves, but also the remaining ones benefit.
Source: Extended Labeled Faces in-the-WildPapers
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