UMDFaces
- The UMDFaces dataset contains over 367,000 face annotations for 8,277 subjects, collected from the web.
- This dataset includes both still images and video frames, providing a comprehensive resource for face detection, recognition, and landmark localization tasks.
- UMDFaces is notable for its detailed annotations and diverse conditions. This dataset was developed by the University of Maryland.
Dataset for Face Recognition
Face recognition is a rapidly evolving field within computer vision, with applications spanning security, social media, and personalized user experiences. A key component of developing effective face recognition systems is access to high-quality datasets. These datasets provide the foundation for training machine learning models, evaluating their performance, and benchmarking against state-of-the-art techniques. In this article, we will discuss some of the famous datasets fot face recognition.
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