Major Announcement 30 Oct 2017

Accelerate Deep Neural Networks at the Edge with the NCS.
Join us for a NCS hands-on worksop!

The Intel® Movidius™ Neural Compute Stick Embedded Image Classification Challenge (EICC)

Win $20,000! Compete to build an embedded Deep Neural Network (DNN) by leveraging Intel® Movidius™ Neural Compute SDK

Why does this Challenge Matter?

Market research estimates there will be as many as 20 billion connected devices in the market by 2020. These devices are expected to generate billions of petabytes of data traffic between cloud and edge devices. In 2017 alone, 8.4B connected devices are expected in the market which is sparking a strong need to pre-process data at the edge. This has led many IoT device manufacturers, especially those working on vision based devices like smart cameras, drones, robots, AR/VR, etc., to bring intelligence to the edge.

Challenge Objective

In this challenge you will be fine-tuning Convolutional Neural Networks (CNNs) that are targeted for embedded applications. Contestants are expected to leverage the Neural Compute SDK's mvNCProfile tool to analyze the bandwidth, execution time and complexity of their network at each layer, and tune it to get the best accuracy, execution time and power-efficiency.

TOTAL PRIZE MONEY
$20,000

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Where to Buy

Order your Neural Compute Stick today from one of our online partners.

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Get Started

Learn how to profile, tune, compile and deploy your neural networks at the edge.

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