Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition.

Medvedev, I., Shadmand, F., & Gonçalves, N. (2023). 

Face recognition has achieved outstanding performance in the last decade with the development of deep learning techniques.
Nowadays, the challenges in face recognition are related to specific scenarios, for instance, the performance under diverse image quality, the robustness for aging and edge cases of person age (children and elders), distinguishing of related identities.
In this set of problems, recognizing children’s faces is one of the most sensitive and important. One of the reasons for this problem is the existing bias towards adults in existing face datasets.

The document is available to view online. arXiv preprint arXiv:2301.05776

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