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 your code in real-time using actual Intel® hardware running on the Intel® DevCloud.
Getting Started Tutorials
Classification
Demonstrates how to use the Intel® Distribution of OpenVINO™ toolkit for image classification on various CPU architectures.
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Object Detection
Demonstrates how to use the Intel® Distribution of OpenVINO™ toolkit for object detection on various CPU architectures.
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Style Transfer
Demonstrates how to use the Intel® Distribution of OpenVINO™ toolkit for style transfer on various CPU architectures.
Sign in to try it outLooking 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.
Learn how to establish Edge Solutions 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.