Ideas about what constitutes “beauty” are complex, subjective, and by no means limited to physical appearances. Elusive though it is, everyone wants more of it. That means big business and increasingly, people harnessing algorithms to create their ideal selves in the digital and, sometimes, physical worlds. In this episode, we explore the popularity of beauty filters, and sit down with someone who’s convinced his software will show you just how to nip and tuck your way to a better life.
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What is the best Facial Recognition software to use in 2021?
So that covers the best software solutions for face recognition, but of course there are paid options. As they are not open source, it’s often difficult to compare them — you don’t know which methods they use, and they don’t usually provide their accuracy on public datasets.
Read More5 papers on Face Recognition every Data Scientist should read
Face recognition, or facial recognition, is one of the largest areas of research within computer vision. We can now use face recognition to unlock our mobile phones, verify identification at security gates, and in some countries, make purchases. With the ability to make numerous processes more efficient, many companies invest into the research and development of facial recognition technology. This article will highlight some of that research and introduce five machine learning papers on face recognition.
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