Training data, algorithm tuning, and model testing for security
There’s a very good reason that the most accurate facial recognition models succeed. That reason, simply put, is training data.
Think about on social media sites, where we tag our friends and loved ones with their real names. That’s all training data. It’s telling an algorithm who’s who and with enough of those decisions, the machine learning model can start to understand exactly that.
But not every company has access to billions of annotated photos. That’s where we come in. Our computer vision tool leverages human intelligence to annotate the facial features your algorithm needs to work and work well. That information allows you to build a corpus of known individuals that can be easily identified at any time.
Facial recognition isn’t the only machine learning domain in security. Object recognition is also on the rise. Knowing that suspicious trucks appeared where you didn’t expect them or understanding movements that connote illicit behavior are things and AI can do, so long as it is shown enough examples.
We can do that. Check out our computer vision page to learn about our full capabilities.
We understand that security data often comes with privacy concerns. We offer customer-specific annotation schemas through special NDA channels that ensure your data is protected, secure, and accurately labeled at scale.
We’ll work with you, every step of the way, to make sure you get the data you need to train, test, and tune your machine learning security solution.
Director of U.S. Search
Executive Vice President, Measurement and Insights
Senior Research Lead