CelebA
- The CelebFaces Attributes Dataset (CelebA) is a large-scale dataset with more than 200,000 celebrity images, each annotated with 40 attribute labels.
- It is commonly used for face attribute recognition, face detection, and landmark localization. The rich annotations make CelebA a versatile dataset for various face-related tasks.
- This dataset was developed by the Multimedia Laboratory at the Chinese University of Hong Kong.
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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