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SynMulti-PIE

<p><strong>Description</strong></p> <p>Synthetic face recognition dataset containing variations in pose, illumination and expression, generated using the StyleGAN2 face generator. The dataset contains a total of 10&rsquo;000 synthetic identities, with 18 variations per identity.</p> <p>&nbsp;</p> <p><strong>Reference</strong></p> <p>If you use this dataset, please cite the following publication</p> <p>L. Colbois, T. de Freitas Pereira, and S. Marcel, &ldquo;On the use of automatically generated synthetic image datasets for benchmarking face recognition,&rdquo; in 2021 IEEE International Joint Conference on Biometrics (IJCB), Aug. 2021, pp. 1&ndash;8. doi: <a href="https://doi.org/10.1109/IJCB52358.2021.9484363">10.1109/IJCB52358.2021.9484363</a>.</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
12
Reuse readiness
0
Engagement
4