FaceID-550

Published: 12 Feb 2020 | Version 2 | DOI: 10.17632/zs2vnf9692.2
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Description of this data

The demands and application of face recognition are growing quickly in recent years due to the development of advances technology. One of the most challenging tasks of face recognition is to be recognized the facial image with limited training samples (a few or single image per person). This real-world problem can be seen in access control, physical security and international border control. In order to provide a new benchmark facial dataset for this issue, the FACEID-550 dataset is constructed (the full dataset is available from: http://dx.doi.org/10.17632/zs2vnf9692.2). Itcontains total 11,550 color images (256 × 256 pixels) of 550 subjects. Each person has one ID photo and twenty daily (or selfie) photos.

Experiment data files

Latest version

  • Version 2

    2020-02-12

    Published: 2020-02-12

    DOI: 10.17632/zs2vnf9692.2

    Cite this dataset

    Truong Hoang, Vinh (2020), “FaceID-550”, Mendeley Data, v2 http://dx.doi.org/10.17632/zs2vnf9692.2

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Institutions

Ho Chi Minh City Open University

Categories

Biometrics, Facial Recognition, Face Image Identification, Facial Representation

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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