Datasets › SMDD

SMDD (Synthetic Face Morphing Attack Detection Development Dataset)

Introduced by Naser Damer et al. in Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors13 Mar 2022 archive 2025-07-28

The Synthetic Morphing Attack Detection Development (SMDD) dataset is a synthetic-based MAD dataset, consisting of 25k bona-fide images generated using the StyleGAN2-ADA framework and 15k morphing attacks created from the bonafide samples using the OpenCV morphing technique.

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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 17 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Face Morphing Attack Detection

License archive 2025-07-28

CC BY-NC-SA 4.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

SMDD

1 variant name, as the archive lists them.

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