LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters
<p><strong>LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters</strong></p> <p><strong>Usage</strong></p> <ul> <li>Download the compressed files (13 in total) and uncompress them</li> <li><strong>Please cite reference 1) below in your publications if you make use of the data of this repository</strong></li> </ul> <p><strong>People & Contact</strong></p> <ul> <li><a href="http://wiki.hh.se/caisr/index.php/Fernando_Alonso-Fernandez">Fernando Alonso-Fernandez</a> (contact person).</li> </ul> <p><strong>References</strong></p> <ol> <li>Hedman, P., Skepetzis, V., Hernandez-Diaz, K., Bigun, J., Alonso-Fernandez, F., "On the Effect of Selfie Beautification Filters on Face Detection and Recognition" <a href="https://github.com/HalmstadUniversityBiometrics/LFW-Beautified/blob/main">https://arxiv.org/abs/2110.08934</a></li> <li>Hedman, P., Skepetzis, V., The Effect of Beautification Filters on Image Recognition: "Are filtered social media images viable Open Source Intelligence?" Master Thesis at Halmstad University, Sweden (Master’s Programme in Network Forensics) <a href="http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44799">http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44799</a></li> </ol> <p> </p>
ShareScore
36/100
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
- 8
- Engagement
- 8