Security

Training data, algorithm tuning, and model testing for the security industry

Figure Eight for the Security Industry

If you are applying machine learning to improve your analysis of data ranging from logs to camera images, all to protect your internal or external environments, use Figure Eight’s Human-in-the-Loop AI platform to increase the quality of your training data and improve the results and application of your AI in the real world.

Facial recognition

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.

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Computer vision for surveillance and monitoring

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.

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NDA Channels

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.

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Trusted by today’s leading brands

Walking through the field, taking tallies on how many weeds we hit, how many we missed, and our accuracy was in the high 90s on that test. We’re really excited about bringing this technology to the farmer and using AI to really modernize farming.

Chris Padwick

Machine Learning Team Lead

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Learn how Home Depot uses machine learning and high quality data to make every customer experience, no matter how they’re shopping, a whole lot better.
When we changed to Figure Eight, within a few weeks, we saw that labeler accuracy go up to 88% and it stayed in the high 80s and 90s for us ever since, even across a large diversity of models. That’s been a really, really big win.

Etienne Manderscheid

VP Engineering, AI - Machine Learning

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Figure Eight Machine Learning assisted Video Object Tracking

Learn how we combined the best of machine and human intelligence to create video training data faster and more accurately.

Resources

FeaturedeBooks

eBook: What We Learned Labeling 1 Million Images

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Blog

Making a computer into a super-recognizer

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The Essential Guide to Training Data eBook

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See what Figure Eight can do for you