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Extended Aff-Wild Database

The Aff-Wild database is extended by collecting videos from YouTube on which the videos have spontaneous facial expressions in the wild, annotating videos with valence and arousal ranging in [-1.0, 1.0], detecting faces in frames using FFLD2 detector and partitioning the whole data set into train, validate and test set.

Data and Resources

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Cite this as

Mengyao Liu, Mr. Dimitrios Kollias (2024). Dataset: Extended Aff-Wild Database. https://doi.org/10.57702/2mbjqd93

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Mengyao Liu
More Authors	Mr. Dimitrios Kollias
Homepage	https://www.imperial.ac.uk/research/aff-wild