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Added: 17.10.2019
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Microsoft Celeb MS-Celeb-1M is a dataset of 10 million face images harvested from the Internet for the purpose of developing face recognition technologies. Update: In response to this report and an investigation by the Financial Times, Microsoft has terminated their MS-Celeb website msceleb. According to Microsoft Research, who created and published the dataset in , MS Celeb is the largest publicly available face recognition dataset in the world, containing over 10 million images of nearly , individuals. Microsoft's goal in building this dataset was to distribute an initial training dataset of , individuals' biometric data to accelerate research into recognizing a larger target list of one million people "using all the possibly collected face images of this individual on the web as training data". While the majority of people in this dataset are American and British actors, the exploitative use of the term "celebrity" extends far beyond Hollywood. Many of the names in the MS Celeb face recognition dataset are merely people who must maintain an online presence for their professional lives: journalists, artists, musicians, activists, policy makers, writers, and academics.
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Despite what you may have heard, beauty editors have a rough life. Our faces get poked, prodded, massaged, zapped, and injected on a near constant basis, all in the pursuit of good skin. I'll pause here so you can take out your tiny violins and play me a mournful dirge for all the hardships I endure. In all seriousness, it's that professional perk that allows me to experience and subsequently identify the things that actually make a difference for your skin.
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The amount of information flooding the Internet, namely social media platforms, is huge. For brands, this data represents both a challenge and an opportunity as they look to effectively market themselves, protect their image, and excel in the era of information overload. Image recognition tools are the key to unlocking the potential hidden within this every-growing pool of images online.
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Behavior Research Methods. Faces impart exhaustive information about their bearers, and are widely used as stimuli in psychological research. Yet many extant facial stimulus sets have substantially less detail than faces encountered in real life. This database provides a high-quality, diverse, naturalistic, and well-controlled facial image set for use in research. The MR2 is available under a Creative Commons license, and may be accessed online.
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