The images in this dataset cover large pose variations and background clutter. Description – CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations.
Licensing – The Digi-Face 1M dataset is available for non-commercial research purposes only. Description – Digi-Face 1M is the largest scale synthetic dataset for face recognition that is free from privacy violations and lack of consent. Read our Whitepaper on Facial Landmark Detection Using Synthetic Data. To help teams find the best datasets for their needs, we provide a quick guide to some popular and high-quality, public datasets focused on human faces. Sifting through the datasets to find the best fit for a given project can take time and effort. Powering all these advances are numerous large datasets of faces, with different features and focuses. Saks Fifth Avenue uses facial recognition technology in their stores both to check against criminal databases and prevent theft, but also to identify which displays attract attention and to analyze in-store traffic patterns. The applications of this technology are wide-ranging and exciting. Advances in CV and Machine Learning have created solutions that can handle tasks more efficiently and accurately than humans. But, in recent years, Computer Vision (CV) has been catching up and in some cases outperforming humans in facial recognition. In other words, we’re naturally good at facial recognition and analysis. We also interpret facial expressions and detect emotions automatically. Most people can recognize about 5,000 faces, and it takes a human 0.2 seconds to recognize a specific one.
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