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

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Presented by Appen

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.

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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.

Meeta Dash

VP of Product at Appen As VP Product at Appen Meeta is building a machine learning data annotation platform focused on Computer Vision, Autonomous Vehicles,

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