YouTube Faces DB
- The YouTube Faces Database (YTF) is a dataset composed of videos of faces collected from YouTube.
- It contains 3,425 videos of 1,595 different individuals, providing a challenging dataset for evaluating video-based face recognition systems.
- Each video includes multiple frames, offering a dynamic and varied perspective of each individual’s face.
- This dataset was created by the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT and Tel Aviv University.
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.