Datasets › Florentine

Florentine

Introduced in Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild1 Jan 2014 archive 2025-07-28

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 invariants Image Source: https://www.micc.unifi.it/resources/datasets/florence-3d-faces/

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • Florentine

1 variant name, as the archive lists them.

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