FERET Database
- The Facial Recognition Technology (FERET) Database is a widely used dataset for facial recognition research, sponsored by the US Department of Defense.
- It includes over 14,000 images of 1,199 individuals, captured under controlled conditions.
- The FERET dataset has been a benchmark for face recognition algorithms for many years.
- It was developed by the National Institute of Standards and Technology (NIST).
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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