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Tutorials

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View step-by-step tutorials in Jupyter* Notebooks. These tutorials will walk you through the workflow to create computer vision solutions in Python* for the edge. Once done, you can run you code in real-time using actual Intel® hardware running on the Intel® DevCloud.

Getting Started Tutorials

Classification tutorial icon

Classification

Demonstrates how to use the Intel® Distribution of OpenVINO™ toolkit for image classification on various CPU architectures.

Object Detection tutorial icon

Object Detection

Demonstrates how to use the Intel® Distribution of OpenVINO™ toolkit for object detection on various CPU architectures.

Style Transfer tutorial icon

Style Transfer

Demonstrates how to use the Intel® Distribution of OpenVINO™ toolkit for style transfer on various CPU architectures.

Looking for something more advanced?

Test out real-world solutions on hosted Intel® hardware with these Jupyter* Notebook sample applications.

Roll up your sleeves with our step-by-step instructions on using computer vision at the edge with these advanced Jupyter* Notebook tutorials.

Explore video analytics applications with algorithms you can license and deploy to help accelerate your time to market.

Learn how to establish Edge Insights for Industrial capabilities with rapid analytics and visual dashboards to interpret data captured from equipment located throughout a manufacturing facility.

Create your own test application and try it on Intel® DevCloud for the Edge hardware.

Convert deep learning models from popular AI frameworks into the OpenVINO format, profile performance, and optimize all via a Web-based interface.