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When the algorithm was fed four image datasets from CalTech (motorbikes, faces, airplanes and cars), it was able to identify objects with 100 percent accuracy. While other algorithms proved to be ...
In essence, it takes the mundane task of tracking objects to an entirely new platform, enabling users to select an object on the fly and have the algorithm immediately start tracking something new.
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