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Datasets/DISFA

DISFA

Denver Intensity of Spontaneous Facial Action

ImagesVideosCustom (research-only, attribution)Introduced 2013-01-01

The Denver Intensity of Spontaneous Facial Action (DISFA) dataset consists of 27 videos of 4844 frames each, with 130,788 images in total. Action unit annotations are on different levels of intensity, which are ignored in the following experiments and action units are either set or unset. DISFA was selected from a wider range of databases popular in the field of facial expression recognition because of the high number of smiles, i.e. action unit 12. In detail, 30,792 have this action unit set, 82,176 images have some action unit(s) set and 48,612 images have no action unit(s) set at all.

Source: Deep Learning For Smile Recognition Image Source: https://www.researchgate.net/figure/Examples-of-images-extracted-from-the-DISFA-dataset_fig5_301830237

Benchmarks

3D/ICC3D/Accuracy3D/Average F13D/Average AUC3D Face Modelling/ICC3D Face Modelling/Accuracy3D Face Modelling/Average F13D Face Modelling/Average AUC3D Face Reconstruction/ICC3D Face Reconstruction/Accuracy3D Face Reconstruction/Average F13D Face Reconstruction/Average AUCFace Reconstruction/ICCFace Reconstruction/AccuracyFace Reconstruction/Average F1Face Reconstruction/Average AUCFacial Expression Recognition (FER)/ICCFacial Expression Recognition (FER)/AccuracyFacial Recognition and Modelling/ICCFacial Recognition and Modelling/AccuracyFacial Recognition and Modelling/Average F1Facial Recognition and Modelling/Average AUC

Statistics

Papers
148
Benchmarks
22

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Tasks

3D3D Face Modelling3D Face ReconstructionFace ReconstructionFacial Action Unit DetectionFacial Expression Recognition (FER)Facial Recognition and ModellingSmile Recognition