Labeled Faces in the Wild (LFW)

Labeled Faces in the Wild (LFW) is a widely-used dataset for studying facial recognition technology. It contains thousands of images of famous and public figures, with labels indicating their identities. The goal is to help computer algorithms learn how to accurately recognize and verify people's faces in varying conditions like different expressions, lighting, and angles. Researchers use LFW to test and improve systems that can identify or confirm individuals, advancing applications like security, photo organization, and personal device authentication.