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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

Cite this as

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

DOI retrieved: December 16, 2024

Additional Info

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