Florentine
Introduced by Mengyi Liu et al. in Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild
The Florentine dataset is a dataset of facial gestures which contains facial clips from 160 subjects (both male and female), where gestures were artificially generated according to a specific request, or genuinely given due to a shown stimulus. 1032 clips were captured for posed expressions and 1745 clips for induced facial expressions amounting to a total of 2777 video clips. Genuine facial expressions were induced in subjects using visual stimuli, i.e. videos selected randomly from a bank of Youtube videos to generate a specific emotion.
Source: Deep video gesture recognition using illumination invariantsPapers
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