Setting up AI Image Recognition

Webinar Overview:

This webinar will explain what you need to know to start setting up AI image recognition applications and make sure they work accurately and effectively. Preprocessing images to make them suitable for a trained AI model is an important step as it improves the accuracy of image inferencing.

This webinar will explore:

• image preprocessing requirements for AI inference and how they influence the accuracy of a trained model
• typical image preprocessing techniques, such as camera image signal processing, format conversion, mean subtraction and normalization
• image processing libraries, such as OpenCV and the pipeline based multimedia framework "Gstreamer"
• preprocessing requirements for different model frameworks, such as Caffe and TensorFlow, when using models from a Model Zoo.

At the end of the presentation you will also see a practical example of configuring image preprocessing for an RZ-V2L microprocessor from the RZ Family of MPUs from Renesas.

Attendance is free of charge

If you have any queries, please contact webinars@doulos.com

---

More FREE online support resources with Doulos KnowHow

Doulos Knowhow includes

• Technical information
• Coding examples
• Guidelines
• Tips
• Tutorials
• Video guides
• Downloads

Visit www.doulos.com/knowhow

---

Related training available now from Doulos:

• Essential Edge AI ONLINE
• Essential Edge AI
• Practical Deep Learning ONLINE
• Practical Deep Learning
• Essential Python ONLINE
• Essential Python
• Embedded Systems training
• View full Doulos training schedule

Please contact Doulos to schedule a public course to suit you, or to discuss onsite training.