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 10’000 synthetic identities, with 18 variations per identity.</p> <p> </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, “On the use of automatically generated synthetic image datasets for benchmarking face recognition,” in 2021 IEEE International Joint Conference on Biometrics (IJCB), Aug. 2021, pp. 1–8. 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