CASIA WebFace
- The CASIA WebFace dataset contains approximately 500,000 images of 10,575 individuals, sourced from the web.
- It is primarily used for face recognition research and has been instrumental in advancing deep learning techniques in this area.
- The large number of images and identities provides a substantial challenge for face recognition models. This dataset was created by the Chinese Academy of Sciences’ Institute of Automation.
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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