From Prototype to Production – Building Successful Computer Vision Models at Scale

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Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative arti­ficial intelligence systems.

Are you training a self-driving car, detecting animals with drones, monitoring equipment for predictive maintenance, or identifying car damage for insurance claims? The challenges to effectively train, deploy & tune a computer vision model at scale remain the same.

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