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How Figure Eight Speeds Up Machine Learning With Video Object Tracking

August 14, 2018 / Chris Preimesberger

Machine-learning systems need to be shown video information over and over, so they can remember it all. This new platform creates training data up to 100 times faster than human-only solutions. It generally takes a lot of reps (repetitions) for a human to become really good at something. Playing the violin, swinging at (and hitting) a hard-thrown baseball and dropping back to complete a long pass in football are examples of this. Similarly, it takes a machine a lot of reps to be able to remember a data set and then bring it to the fore when someone needs the information. A lot of people don’t realize this. San Francisco-based startup Figure Eight knows all about this practice and specializes in teaching artificial intelligence engines how to perform optimally, and it does this through video reps. Figure Eight, which describes its product as a “human-in-the-loop machine learning platform,” on Aug. 14 launched its ML-assisted Video Object Tracking solution to accelerate...